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-{
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1/run_record.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1/run_record.json
deleted file mode 100644
index b0eb1df5db528f15578fe7fb89f94adc6414597e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1/run_record.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "kind": "rp3_static_appearance_v1",
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-  "source_script": "third_party/phystwin_original/gs_train.py",
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-    "-m",
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-    "--iterations",
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-    "--lambda_depth",
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1_argv.json
deleted file mode 100644
index a761f3c7bed68465d5e2143f1ee9846b767ff07a..0000000000000000000000000000000000000000
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+++ /dev/null
@@ -1,18 +0,0 @@
-{
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-    "scripts/real_rgbd_appearance_train.py",
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-    "--accepted-prior-manifest-sha256",
-    "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "--output",
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-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/appearance_train_v1_result.json
deleted file mode 100644
index 3f63cb2fa1152a8c0b6ca3c1737eb1ae3c4b3cc9..0000000000000000000000000000000000000000
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+++ /dev/null
@@ -1,4 +0,0 @@
-{
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A.log
deleted file mode 100644
index 4f63f1c7219eb3d719949f0fa59af5f521f6b839..0000000000000000000000000000000000000000
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+++ /dev/null
@@ -1,53 +0,0 @@
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
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-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_a/steps/fit.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_argv.json
deleted file mode 100644
index 4ed869696b6ee94150736da302cb8f30c3c9963b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_argv.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_a",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4",
-    "--baseline-run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1",
-    "--chain-curvature-weight",
-    "5e-09",
-    "--chain-control-count",
-    "9"
-  ],
-  "started_utc": "2026-10-28T20:36:51.539798+00:00"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_result.json
deleted file mode 100644
index d2e1be2ab3da68375e7d7a68981974b832871888..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/A_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 480.49173812699155
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B.log
deleted file mode 100644
index fb17151d9085d717c69c5909b203ffd82d0d266a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B.log
+++ /dev/null
@@ -1,43 +0,0 @@
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-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/steps/fit.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_argv.json
deleted file mode 100644
index 5a51b2b4887e0da8e768847f0784b3bf4a555138..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_argv.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4",
-    "--baseline-run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1",
-    "--chain-curvature-weight",
-    "5e-09",
-    "--chain-control-count",
-    "18"
-  ],
-  "started_utc": "2026-10-28T20:44:52.031823+00:00"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_result.json
deleted file mode 100644
index c258e09489ee8124de71e93226f30b35b72c4679..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/B_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 473.91150930900767
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/COMPARISON.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/COMPARISON.md
deleted file mode 100644
index 917e46de9c54a94f1b9830f82b5f9541dc114173..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/COMPARISON.md
+++ /dev/null
@@ -1,42 +0,0 @@
-# 233248 chain centerline comparison
-
-Owner-directed A/B comparison; no candidate is adopted. Visual and numerical review is complete; the next candidate decision remains with the owner.
-
-The same saved initial observations, masks and depth diagnostics were copied exactly. The original prior remains unchanged. Total objectives differ in curvature weight and are not an adoption score.
-
-| Fit | Controls | Curvature weight | Length mm | Max sampled curvature /m | Mean 3D mm | Mean per-view 2D mm | Rounds / stop |
-|---|---:|---:|---:|---:|---:|---:|---|
-| baseline | 9 | 5e-08 | 585.394 | 92.251 | 8.475 | 3.325 | 2 / gradient_tolerance |
-| A | 9 | 5e-09 | 585.446 | 97.707 | 8.461 | 3.330 | 2 / gradient_tolerance |
-| B | 18 | 5e-09 | 585.423 | 105.470 | 8.390 | 3.230 | 1 / gradient_tolerance |
-
-3D residuals measure observed depth points to the centerline; 2D residuals measure visible mask pixels to it. Thickness, depth uncertainty and hidden geometry remain confounded; neither is ground-truth centerline error. B uses 180 rather than 90 coarse distance-search samples through the existing M-dependent search. Curvature and reprojection sample counts and the solver/length penalty remain unchanged. The table retains the fitter sampling; the curvature display uses 1000 parameter samples and is not a certified continuous maximum.
-
-- 12540311: [three fits](review/12540311_three_fits.png) · [combined overlay](review/12540311_combined.png)
-- 12933256: [three fits](review/12933256_three_fits.png) · [combined overlay](review/12933256_combined.png)
-- 17736741: [three fits](review/17736741_three_fits.png) · [combined overlay](review/17736741_combined.png)
-- 23007103: [three fits](review/23007103_three_fits.png) · [combined overlay](review/23007103_combined.png)
-
-[Curvature distributions](review/curvature_comparison.png) · [Saved metrics](comparison_metrics.json)
-
-This comparison contains centerlines only. It does not establish candidate tube validity, mechanical readiness or appearance quality.
-
-## Visual interpretation and next decision
-
-Combined overlays use **baseline blue, A orange and B green**. Some narrow-image title text is clipped; the table above gives the exact settings. All eight camera comparison images and the curvature plot were inspected.
-
-All three curves follow the same broad loop. A and the baseline are nearly coincident in the four views; the tenfold curvature-weight reduction alone does not visibly recover substantial additional detail.
-
-B makes modest local contour adjustments, most apparent along the long left edge in 12540311 and the lower/left bends in 17736741. Its curve remains smooth and does not resolve individual chain-link geometry. The hand-hidden arcs remain inferred.
-
-B lowers mean projected-mask distance in all four views. Its overall mean depth-point distance also falls slightly, but median depth residuals increase in 12540311 and 12933256 while decreasing in 17736741 and 23007103. This is not a uniform accuracy gain.
-
-The 1000-sample curvature display shows more localized variation in B, a sharper peak at one bend and a reduced peak at the other. Normalized spline parameters are not matched material points, so the pointwise plot is descriptive.
-
-No visible wrong-loop placement or centerline self-crossing was seen. Tube validity has not been assessed for either variant.
-
-B improves the mean projected-mask distance by **2.85% (3.325 → 3.230 mm)** and mean depth-point distance by **1.01% (8.475 → 8.390 mm)** relative to baseline. Its length remains **0.423 mm above the soft upper bound**, without correction. The lower total objective is not a comparable adoption score because the curvature weight changed.
-
-I recommend preparing **B as a full tube/color/hybrid prior for owner review**. This is a modest local improvement, not evidence that all missing centerline detail is recovered. The existing **4.75 mm tube radius**, geometry checks and other settings would remain unchanged; no additional centerline fit is needed. The original prior and both saved comparisons remain available. Full-prior acceptance, use on other chain cases, mechanical preparation and static appearance remain separate from this comparison.
-
-[Exact inspection record](agent_findings.json).
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/agent_findings.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/agent_findings.json
deleted file mode 100644
index efe615c182dcca4c5dceba297c957c5c1b8c9f8f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/agent_findings.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-  "reviewed_utc": "2026-10-28T20:58:17.877091+00:00",
-  "scope": "Owner-selected centerline comparisons A and B only; no prior adoption or downstream authorization",
-  "inspected_images": [
-    "review/12540311_combined.png",
-    "review/12540311_three_fits.png",
-    "review/12933256_combined.png",
-    "review/12933256_three_fits.png",
-    "review/17736741_combined.png",
-    "review/17736741_three_fits.png",
-    "review/23007103_combined.png",
-    "review/23007103_three_fits.png",
-    "review/curvature_comparison.png"
-  ],
-  "observations": [
-    "All three curves follow the same broad loop. A and the baseline are nearly coincident in the four views; the tenfold curvature-weight reduction alone does not visibly recover substantial additional detail.",
-    "B makes modest local contour adjustments, most apparent along the long left edge in 12540311 and the lower/left bends in 17736741. Its curve remains smooth and does not resolve individual chain-link geometry. The hand-hidden arcs remain inferred.",
-    "B lowers mean projected-mask distance in all four views. Its overall mean depth-point distance also falls slightly, but median depth residuals increase in 12540311 and 12933256 while decreasing in 17736741 and 23007103. This is not a uniform accuracy gain.",
-    "The 1000-sample curvature display shows more localized variation in B, a sharper peak at one bend and a reduced peak at the other. Normalized spline parameters are not matched material points, so the pointwise plot is descriptive.",
-    "No visible wrong-loop placement or centerline self-crossing was seen. Tube validity has not been assessed for either variant."
-  ],
-  "metrics": {
-    "baseline_mean_3d_mm": 8.475363123418058,
-    "A_mean_3d_mm": 8.461466040044444,
-    "B_mean_3d_mm": 8.389742558768171,
-    "baseline_mean_2d_mm": 3.32517205807557,
-    "A_mean_2d_mm": 3.33030487261614,
-    "B_mean_2d_mm": 3.230299700766787
-  },
-  "recommendation": "Prepare the full B tube/color/hybrid prior for owner review, subject to owner direction. The observed improvement is modest; do not treat this comparison as final prior or recipe acceptance.",
-  "display_note": "Combined overlays: baseline blue, A orange, B green. Some narrow-image title text is clipped; the table and separate panels identify all settings."
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/comparison_metrics.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/comparison_metrics.json
deleted file mode 100644
index f3ba921bd5f9659532b20f82c46624fc21367adc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/comparison_metrics.json
+++ /dev/null
@@ -1,401 +0,0 @@
-{
-  "baseline": {
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1",
-    "control_count": 9,
-    "curvature_weight": 5e-08,
-    "rounds": 2,
-    "stop": "gradient_tolerance",
-    "final": {
-      "loss": 6.355364166665822e-05,
-      "components": {
-        "distance": 2.8629925509449095e-05,
-        "curvature": 5.658141162712127e-06,
-        "arclength": 1.5560148725057843e-08,
-        "mask_reprojection_2d": 2.925001535913907e-05
-      },
-      "grad_norm": 8.69055584189482e-05,
-      "arclength_m": 0.5853944420814514,
-      "arclength_bound_active_within_1mm": true,
-      "max_curvature_per_m": 92.25138854980469,
-      "curvature_p50_p90_per_m": [
-        6.295584440231323,
-        54.18590011596678
-      ],
-      "curvature_above_max_fraction": 0.408,
-      "mean_distance_m": 0.008475363123418058,
-      "max_distance_m": 0.06499939411878586,
-      "beyond_2delta_fraction": 0.3128394525309581,
-      "at_cap_fraction": 0.0020638713882250707,
-      "per_view": [
-        {
-          "view": 0,
-          "count": 5911,
-          "median_m": 0.008376180194318295,
-          "p90_m": 0.0139962462708354,
-          "max_m": 0.01900598779320717,
-          "beyond_2delta_fraction": 0.3628827609541533,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 2044,
-          "median_m": 0.005763906287029386,
-          "p90_m": 0.02027002312242985,
-          "max_m": 0.06499939411878586,
-          "beyond_2delta_fraction": 0.17123287671232876,
-          "at_cap_fraction": 0.018590998043052837
-        },
-        {
-          "view": 2,
-          "count": 6337,
-          "median_m": 0.0064223394729197025,
-          "p90_m": 0.010648419521749022,
-          "max_m": 0.015939682722091675,
-          "beyond_2delta_fraction": 0.15448950607543002,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
-          "count": 4120,
-          "median_m": 0.010788764338940382,
-          "p90_m": 0.017597942426800725,
-          "max_m": 0.020194189622998238,
-          "beyond_2delta_fraction": 0.5548543689320389,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "round": 2,
-      "relative_loss_change": 0.00016540389284071285
-    },
-    "reprojection": {
-      "samples": 360,
-      "direction": "visible mask pixels to projected centerline",
-      "per_view": [
-        {
-          "view": 0,
-          "serial": "12540311",
-          "mask_pixels": 9097,
-          "median_depth_m": 1.116,
-          "mean_m": 0.0034581722424557844,
-          "median_m": 0.003058487395428022,
-          "p90_m": 0.006824887084180046,
-          "mean_px": 4.665658163916047,
-          "median_px": 4.12644319074809,
-          "p90_px": 9.207923189287643,
-          "visible_centerline_samples": 275,
-          "outside_mask_fraction": 0.03636363636363636
-        },
-        {
-          "view": 1,
-          "serial": "12933256",
-          "mask_pixels": 3588,
-          "median_depth_m": 1.176,
-          "mean_m": 0.003323198077572177,
-          "median_m": 0.003093655526475063,
-          "p90_m": 0.006318578946513836,
-          "mean_px": 4.196725713154487,
-          "median_px": 3.9068330697707525,
-          "p90_px": 7.97944895083822,
-          "visible_centerline_samples": 135,
-          "outside_mask_fraction": 0.05925925925925926
-        },
-        {
-          "view": 2,
-          "serial": "17736741",
-          "mask_pixels": 9982,
-          "median_depth_m": 1.106,
-          "mean_m": 0.002937563362459976,
-          "median_m": 0.0027643362393817324,
-          "p90_m": 0.005476109003228773,
-          "mean_px": 4.008083908022342,
-          "median_px": 3.771735764532055,
-          "p90_px": 7.4717050851151345,
-          "visible_centerline_samples": 318,
-          "outside_mask_fraction": 0.03773584905660377
-        },
-        {
-          "view": 3,
-          "serial": "23007103",
-          "mask_pixels": 6650,
-          "median_depth_m": 0.925,
-          "mean_m": 0.0035817545498143424,
-          "median_m": 0.0031413198739826207,
-          "p90_m": 0.007284348515394365,
-          "mean_px": 4.082254056427725,
-          "median_px": 3.5802890606715936,
-          "p90_px": 8.302256249222722,
-          "visible_centerline_samples": 322,
-          "outside_mask_fraction": 0.015527950310559006
-        }
-      ],
-      "mean_of_view_means_m": 0.00332517205807557
-    },
-    "deterministic": true
-  },
-  "A": {
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_a",
-    "control_count": 9,
-    "curvature_weight": 5e-09,
-    "rounds": 2,
-    "stop": "gradient_tolerance",
-    "final": {
-      "loss": 5.8496421843301505e-05,
-      "components": {
-        "distance": 2.8556209144880995e-05,
-        "curvature": 5.901300710320356e-07,
-        "arclength": 1.9861634115159177e-08,
-        "mask_reprojection_2d": 2.933022187789902e-05
-      },
-      "grad_norm": 9.93136563920416e-05,
-      "arclength_m": 0.5854456424713135,
-      "arclength_bound_active_within_1mm": true,
-      "max_curvature_per_m": 97.70703887939453,
-      "curvature_p50_p90_per_m": [
-        5.9534149169921875,
-        57.21735382080076
-      ],
-      "curvature_above_max_fraction": 0.404,
-      "mean_distance_m": 0.008461466040044444,
-      "max_distance_m": 0.0654829740524292,
-      "beyond_2delta_fraction": 0.30610471431674996,
-      "at_cap_fraction": 0.0020638713882250707,
-      "per_view": [
-        {
-          "view": 0,
-          "count": 5911,
-          "median_m": 0.008340648375451565,
-          "p90_m": 0.013992766849696636,
-          "max_m": 0.018976107239723206,
-          "beyond_2delta_fraction": 0.35222466587717816,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 2044,
-          "median_m": 0.0056256980169564486,
-          "p90_m": 0.020248647034168246,
-          "max_m": 0.0654829740524292,
-          "beyond_2delta_fraction": 0.16193737769080235,
-          "at_cap_fraction": 0.018590998043052837
-        },
-        {
-          "view": 2,
-          "count": 6337,
-          "median_m": 0.006487850099802017,
-          "p90_m": 0.010636300034821033,
-          "max_m": 0.015966197475790977,
-          "beyond_2delta_fraction": 0.15228025879753826,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/review_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/chain_centerline_comparison_v1/review_argv.json
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index 335fc00ccac89476fb7ea0071b9100a48c2a6a11..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3.log
+++ /dev/null
@@ -1,38 +0,0 @@
-{
- "populations": {
-  "N": 618,
-  "S": 1007,
-  "A": 1043,
-  "added_surface": 389,
-  "interior": 36,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 14,
-   "hand_B": 16
-  }
- },
- "denominators": {
-  "D_V": 582,
-  "D_M": 565
- },
- "graph": {
-  "object_springs": 17186,
-  "controller_springs": 890,
-  "object_rest_min_max_m": [
-   0.000310589064611122,
-   0.018675565719604492
-  ],
-  "controller_rest_min_max_m": [
-   0.010204235091805458,
-   0.039988406002521515
-  ],
-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 208,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 443,
-   "hand_B": 447
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_argv.json
deleted file mode 100644
index e01e4ea4e704160d86d34e44350a0a0657fe3156..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_argv.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_mesh_center_model.py",
-    "--rt-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": "",
-    "PYTHONDONTWRITEBYTECODE": "1"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_result.json
deleted file mode 100644
index a376cd2bc1c80fa6de1510194fe204f37ac6bf1d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_center_v3_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 44.43239570100559
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_argv.json
deleted file mode 100644
index 95708d4ed0432f80c2200e75ec19f7d34d0a61a7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_argv.json
+++ /dev/null
@@ -1,40 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "933377f7536a2fd01ebcd07ab91d8f9a048dc523876eabc8359435f6a5588d8a",
-    "--accepted-prior-manifest-sha256",
-    "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--supervision-policy",
-    "initialization_only_mesh_gate_v1",
-    "--mechanical-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/mechanics_v3/mesh/binding.json",
-    "--premesh-fitting",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/fitting",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/supervision"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": "",
-    "PYTHONDONTWRITEBYTECODE": "1"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_result.json
deleted file mode 100644
index 55549996d5a65141e4bb46c7bb3bfb351e106d46..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_supervision_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 35.255832294991706
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_argv.json
deleted file mode 100644
index 0f793b185b490cb5bf350f890001b03fd94fa567..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_argv.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "933377f7536a2fd01ebcd07ab91d8f9a048dc523876eabc8359435f6a5588d8a",
-    "--accepted-prior-manifest-sha256",
-    "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b",
-    "--mesh-rules",
-    "m2_10mm_centerline_core_v2",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/mechanics_v2"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": "",
-    "PYTHONDONTWRITEBYTECODE": "1"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_result.json
deleted file mode 100644
index 95b6d7f8e3bbbfca39cb5dce926b1eb1497fd96a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v2_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 258.05650948100083
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_argv.json
deleted file mode 100644
index 843fa29b339d44798e8ebdfe373063d6a9c29172..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_argv.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "933377f7536a2fd01ebcd07ab91d8f9a048dc523876eabc8359435f6a5588d8a",
-    "--accepted-prior-manifest-sha256",
-    "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--retained-samples-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/mechanics_v2/mesh/binding.json",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": "",
-    "PYTHONDONTWRITEBYTECODE": "1"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_result.json
deleted file mode 100644
index 642b0a7fce688ebd55782848988476e4c4e045a6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/mech_v3_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 325.29606733900437
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors.log
deleted file mode 100644
index 28f973959ae3278f1e2874af7c76ed22e713c605..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors.log
+++ /dev/null
@@ -1 +0,0 @@
-colors: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/colors.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_argv.json
deleted file mode 100644
index 24c93d566a7e9f4e82ce5bf8b9c2149b1e579b86..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "colors",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_result.json
deleted file mode 100644
index d00731269beba899c164426e65d161a34fb51bf8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_colors_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.7009595690033166
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth.log
deleted file mode 100644
index 3a25fd74c6f4dcca15a00beed362610699bf54ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth.log
+++ /dev/null
@@ -1 +0,0 @@
-diagnose-depth: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/diagnose-depth.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_argv.json
deleted file mode 100644
index 3c24eee831a1500dbdf08f8fdb511b4394b843af..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "diagnose-depth",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_result.json
deleted file mode 100644
index 13999fe321f2ef68fe6f73e6999a93a47a39ada7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_diagnose_depth_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 1.5623434959998121
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit.log
deleted file mode 100644
index bca58a15fb81d07c271ae6930dc9f9eb5871489e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit.log
+++ /dev/null
@@ -1,53 +0,0 @@
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/fit.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_argv.json
deleted file mode 100644
index f2f0d6fc218f59d0b0ed692a973276ef55d81fbf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_argv.json
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_result.json
deleted file mode 100644
index 07028af0799727f99de54493618330219b9ff590..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_fit_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 23.563939784995455
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid.log
deleted file mode 100644
index 2996b95ff4b42f4ccb2b7d9b6939de0a762fd1a4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid.log
+++ /dev/null
@@ -1 +0,0 @@
-hybrid: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/hybrid.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_argv.json
deleted file mode 100644
index ca504a1ad6416c465024d002f8bd88602b1f3426..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "hybrid",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_result.json
deleted file mode 100644
index 6304c7dd80d97c65be85d598999968e6dfebc1be..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_hybrid_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.319133157005126
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs.log
deleted file mode 100644
index 48684b060c97ba0203efc71b1de43d3949293156..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs.log
+++ /dev/null
@@ -1 +0,0 @@
-inputs: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/inputs.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_argv.json
deleted file mode 100644
index 92d3f58468dd8de060fecbd8da12ef6f60f3d85f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_argv.json
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "inputs",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--object",
-    "bike_chain",
-    "--unfitted-inputs",
-    "--fitting-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/fitting/fitting_observations.npz",
-    "--frames-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--occluder-signoff",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff_occluder.json",
-    "--depth-source",
-    "waft_stereo_dav2l5",
-    "--mask-erosion-px",
-    "2",
-    "--out",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_result.json
deleted file mode 100644
index 322e0cf90e978bd70601a21d76a870ce0a3e55bc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_inputs_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 23.38903138200112
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest.log
deleted file mode 100644
index b9f9d1ef99b7440d9fb3921e2ff822aa521facbb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/manifest.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_argv.json
deleted file mode 100644
index a65ab24f123979134e0f82aa9825104f95def1f8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "manifest",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_result.json
deleted file mode 100644
index d93d9efcfb8978159a09dd465eefc64dfc057f6b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_manifest_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 1.376495734002674
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review.log
deleted file mode 100644
index 402fa3343c4aa85597707b177070ba73389813f5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review.log
+++ /dev/null
@@ -1 +0,0 @@
-review: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/review.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_argv.json
deleted file mode 100644
index f22030aa7311e3eefc12edb7663cc982e29b058a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "review",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/AGENT_FINDINGS.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/AGENT_FINDINGS.md
deleted file mode 100644
index f8ed756587bf0cad770196fbbbac21a131cee7ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/AGENT_FINDINGS.md
+++ /dev/null
@@ -1,29 +0,0 @@
-# 233248 variant B — saved prior review
-
-The full prior is complete and the saved products are internally consistent. Direct inspection of **21 stable panels and 9 orbit frames** found no material geometry or packaging issue. **Owner prior approval remains pending.** This is a review of the prepared candidate; it grants no mechanics, appearance-training or fit authorization.
-
-The saved **18-control, curvature-weight 5e-9** centerline was reused exactly. Its preparation-decision identity, reused input bytes, and the original baseline fit and manifest were checked unchanged. All five full-prior stages and the single packaging/check runner returned zero. Seven saved NPZ families were checked for finite arrays and the mesh, colors and hybrid population were checked for correspondence. [Numerical checks](numeric_prior_review.json) · [Exact visual inspection record](agent_visual_review.json) · [Saved metrics and camera links](PRIOR_REVIEW_c6a_v1.md).
-
-## Observed geometry and camera agreement
-
-The four input, centerline and unmasked tube-overlay sets show the centerline and tube following the visible chain arcs. Camera 12933256 has substantial forearm/sleeve occlusion. Closures beneath hands or sleeve are inferred portions of the closed-loop model; their unmasked overlays are not direct observations.
-
-The 3D, scale and profile panels and orbit frames show one continuous loop with smooth height variation. No gross crossing, disconnection or seam opening was visible. The saved orbit is a point/ring visualization; frames **0, 4, 9, 13, 18, 22, 26, 31 and 35 of 36** were inspected. [Rotation video](../chain_centerline_comparison_v1/variant_b/review/tube/orbit.mp4) · [Inspected frames](orbit_frames.json).
-
-The actual tube has **144 rings, 1,728 vertices and 3,456 triangles** at the unchanged **4.75 mm radius**, step_t 0.125 and 30-degree circumferential spacing. Checks report one watertight component, consistent winding, no degenerate triangles, zero seam error and **zero confirmed surface-intersection pairs**. Recomputed maximum radial error is **6.80e-9 m**. The chain's approved surface-intersection rule is used: the 6.288 mm minimum nonadjacent-centerline distance is diagnostic and is not substituted for triangle-intersection testing. This remains a continuous tube approximation to linked chain geometry.
-
-## Preserved fit and depth limits
-
-The fit stopped after one round on gradient tolerance (the solver limit was 25 iterations per round), with gradient norm **6.25671e-5**. Length is **585.423 mm**, **0.423 mm above** the soft 585.000 mm upper bound; maximum curvature is **105.470/m**. The displayed 10/m curvature threshold and 80/m smooth saturation scale describe a soft penalty, not hard curvature bounds. No refit, clamp or corrective depth adjustment was applied.
-
-The lifted depth clouds visibly spread outside the tube and include sparse off-loop points. Saved per-camera median/p90 point-to-centerline residuals are **8.537/13.844, 5.779/19.997, 6.131/10.572 and 10.543/17.982 mm** in serial order 12540311, 12933256, 17736741, 23007103. The sparse longest tail reaches 65.329 mm in camera 12933256. These residuals are not ground-truth reconstruction errors. Visible centerline-in-mask fractions are **99.02%, 94.89%, 97.90% and 98.52%**; they are not silhouette IoU. The read-only object-minus-local-table diagnostic remains **18.668–31.743 mm**, without correction.
-
-The saved round-curves image appears blank because a single round is drawn as an unmarked line. The fit report and rounds.jsonl retain the numerical values; this presentation limitation does not erase the fit evidence.
-
-## Colors and appearance initialization
-
-Colors are observed for **1,089 vertices** and median-filled for **639/1,728 (36.98%)**, concentrated on underside and occluded end regions. Color arrays are finite and in range, and saved GLB roundtrip checks report exact float32 positions and vertex colors.
-
-The hybrid population contains **18,412 observed + 103,680 mesh-derived = 122,092 seeds**. Observed coordinates and colors exactly match the saved filtered cloud. Retaining step_t 0.125 with 18 controls doubles the longitudinal ring and triangle counts relative to the 9-control baseline: mesh seeds increase from **51,840 to 103,680**, and total seeds from **70,252 to 122,092**. Observed seeds remain 18,412. These are appearance seeds and mesh vertices; no mechanical particle population or mass total is assessed here.
-
-The owner can now review this candidate for separate prior acceptance. The centerline, baseline products, case status and approval records were not changed by this review.
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index 11893899c4901a4c8ca83fa24b6385fdbf4d6c9f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,39 +0,0 @@
-# session_20260921_233248_177244 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent visual inspection is complete; [findings and limitations](AGENT_FINDINGS.md) cover 21 stable panels and 9 orbit frames. Owner prior approval remains pending. The saved-value tables below record no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 208 / 209 | [centerline](<../chain_centerline_comparison_v1/variant_b/review/spline/centerline_0_with_masks.png>) · [tube](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../chain_centerline_comparison_v1/variant_b/review/inputs/view_0_12540311.png>) |
-| 12933256 | 1 / 208 / 209 | [centerline](<../chain_centerline_comparison_v1/variant_b/review/spline/centerline_1_with_masks.png>) · [tube](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../chain_centerline_comparison_v1/variant_b/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 208 / 209 | [centerline](<../chain_centerline_comparison_v1/variant_b/review/spline/centerline_2_with_masks.png>) · [tube](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../chain_centerline_comparison_v1/variant_b/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 208 / 209 | [centerline](<../chain_centerline_comparison_v1/variant_b/review/spline/centerline_3_with_masks.png>) · [tube](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../chain_centerline_comparison_v1/variant_b/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../chain_centerline_comparison_v1/variant_b/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../chain_centerline_comparison_v1/variant_b/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../chain_centerline_comparison_v1/variant_b/review/tube/tube_scale_views.png>) · [Residual histograms](<../chain_centerline_comparison_v1/variant_b/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../chain_centerline_comparison_v1/variant_b/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.423 mm**, maximum curvature **105.470/m**, final gradient norm **6.25671e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.423 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../chain_centerline_comparison_v1/variant_b/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 8.537 / 13.844 | 99.02% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 5.779 / 19.997 | 94.89% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 6.131 / 10.572 | 97.90% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 10.543 / 17.982 | 98.52% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **18412 of 18889** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **4**.
-
-Appearance initialization contains **18412 observed + 103680 mesh-derived = 122092 seeds**. Vertex colors are observed for 1089 mesh vertices and median-filled for 639. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../chain_centerline_comparison_v1/variant_b/review/hybrid/combined.png>) · [Observed and filled colors](<../chain_centerline_comparison_v1/variant_b/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Manifest](<../chain_centerline_comparison_v1/variant_b/manifest.json>) · [Fit settings and metrics](<../chain_centerline_comparison_v1/variant_b/steps/fit.json>) · [Reference observations](<../chain_centerline_comparison_v1/variant_b/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The completed bounded visual review is recorded in [agent findings](AGENT_FINDINGS.md) and [the exact inspection list](agent_visual_review.json). Owner prior approval remains pending. No case status, prior acceptance, mechanics approval or trained-appearance approval is changed here.
-
-Owner accepted this exact variant B prior on 2026-10-28 for mechanical input preparation and static appearance training; see `../../owner_prior_acceptance_c6a_v1.json`. Trained appearance review remains separate.
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/agent_visual_review.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/agent_visual_review.json
deleted file mode 100644
index ad6cbc0af403c50a9891b58028f1e31cecdd4281..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/agent_visual_review.json
+++ /dev/null
@@ -1,181 +0,0 @@
-{
-  "scope": "variant-B saved prior only",
-  "inspection_completed_utc": "2026-10-28T21:46:27.789123+00:00",
-  "stable_panels": [
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/view_0_12540311.png",
-      "inspected": true,
-      "finding": "Object mask follows the visible chain; hand/occluder union covers hidden portions. No broad red invalid-depth region visible."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/view_1_12933256.png",
-      "inspected": true,
-      "finding": "Object mask follows the visible chain; hand/occluder union covers hidden portions. No broad red invalid-depth region visible."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/view_2_17736741.png",
-      "inspected": true,
-      "finding": "Object mask follows the visible chain; hand/occluder union covers hidden portions. No broad red invalid-depth region visible."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/view_3_23007103.png",
-      "inspected": true,
-      "finding": "Object mask follows the visible chain; hand/occluder union covers hidden portions. No broad red invalid-depth region visible."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/centerline_0_with_masks.png",
-      "inspected": true,
-      "finding": "Projected centerline follows visible chain arcs; closures continue beneath hand/occluder regions."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/centerline_1_with_masks.png",
-      "inspected": true,
-      "finding": "Projected centerline follows visible chain arcs; closures continue beneath hand/occluder regions. Most of the return arc is hidden by the forearm and sleeve."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/centerline_2_with_masks.png",
-      "inspected": true,
-      "finding": "Projected centerline follows visible chain arcs; closures continue beneath hand/occluder regions."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/centerline_3_with_masks.png",
-      "inspected": true,
-      "finding": "Projected centerline follows visible chain arcs; closures continue beneath hand/occluder regions."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/silhouette_0_unmasked.png",
-      "inspected": true,
-      "finding": "Smooth single-loop silhouette broadly follows the observed chain. Unmasked overlay also draws inferred geometry over hands/occluders; that part is not observed validation."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/silhouette_1_unmasked.png",
-      "inspected": true,
-      "finding": "Smooth single-loop silhouette broadly follows the observed chain. Unmasked overlay also draws inferred geometry over hands/occluders; that part is not observed validation."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/silhouette_2_unmasked.png",
-      "inspected": true,
-      "finding": "Smooth single-loop silhouette broadly follows the observed chain. Unmasked overlay also draws inferred geometry over hands/occluders; that part is not observed validation."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/silhouette_3_unmasked.png",
-      "inspected": true,
-      "finding": "Smooth single-loop silhouette broadly follows the observed chain. Unmasked overlay also draws inferred geometry over hands/occluders; that part is not observed validation."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/tube_scale_views.png",
-      "inspected": true,
-      "finding": "Closed loop and fixed 9.5mm diameter are coherent. Lifted point clouds spread outside the tube, especially in height; no correction applied."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/residual_histograms.png",
-      "inspected": true,
-      "finding": "Per-view centerline-distance distributions retain broad tails. View1 has sparse points out to about65mm; view3 is broad through20mm. These are lifted-depth residuals, not ground-truth reconstruction errors."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/depth_offset.png",
-      "inspected": true,
-      "finding": "Read-only object-minus-local-table medians span18.668..31.743mm. No correction applied."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/colors/visibility_and_fill.png",
-      "inspected": true,
-      "finding": "Observed colors cover1089 vertices and median fill covers639/1728(36.979%). Filled regions concentrate on underside and occluded ends."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/hybrid/combined.png",
-      "inspected": true,
-      "finding": "Observed18412 and mesh103680 seed populations form the same closed loop; observed depth spread and sparse off-loop points remain visible."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/fit_3d.png",
-      "inspected": true,
-      "finding": "18-control closed centerline coherently threads the observed loop, with occluded end closures inferred. Vertical axis is expanded and observations retain depth spread."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/curvature_profile.png",
-      "inspected": true,
-      "finding": "Localized peak105.470/m exceeds the displayed80/m smooth saturation scale;10/m is the soft penalty onset. Neither is a hard curvature guarantee."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/round_curves.png",
-      "inspected": true,
-      "finding": "Plot appears blank because saved fitting has one25-iteration round and the line plot uses no visible marker. Use rounds.jsonl and fit report for the single-round values."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/tube_profiles.png",
-      "inspected": true,
-      "finding": "Continuous closed loop with smooth height variation, fixed9.5mm diameter, no visible crossing or broken seam. Side/oblique vertical display is expanded."
-    }
-  ],
-  "stable_panel_count": 21,
-  "orbit_inspection_pending": false,
-  "owner_prior_approval": "pending",
-  "orbit_frames": [
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_000.png",
-      "frame_index": 0,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_004.png",
-      "frame_index": 4,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_009.png",
-      "frame_index": 9,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_013.png",
-      "frame_index": 13,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_018.png",
-      "frame_index": 18,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_022.png",
-      "frame_index": 22,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_026.png",
-      "frame_index": 26,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_031.png",
-      "frame_index": 31,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    },
-    {
-      "path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_b_v1/orbit_frames/frame_035.png",
-      "frame_index": 35,
-      "inspected": true,
-      "finding": "Closed single loop remains coherent from this azimuth; smooth height variation and ring sampling are visible, with no gross crossing, disconnection or seam opening."
-    }
-  ],
-  "orbit_frame_count": 9,
-  "assessment": "No material geometry or packaging issue found in the bounded saved-prior review; limitations below remain part of the owner acceptance decision.",
-  "limitations": [
-    "Continuous 9.5mm-diameter tube approximates the linked chain; individual links are not modeled.",
-    "Hidden closures under hands/sleeve remain inferred; visible camera overlays do not validate those arcs directly.",
-    "Depth clouds retain spread and sparse off-loop points; centerline residuals are not ground-truth shape errors.",
-    "Length585.423mm exceeds the soft585.000mm upper bound by0.423mm; maximum curvature105.470/m exceeds the80/m smooth saturation scale. Neither is a hard feasibility constraint.",
-    "639/1728 vertex colors(36.979%) are median-filled, mainly on underside and occluded ends.",
-    "The one-round convergence line plot appears blank without markers; saved numeric fit/round records remain available.",
-    "Orbit review inspected9 uniformly distributed frames out of36, not every frame. The orbit is a point/ring visualization."
-  ]
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/numeric_prior_review.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/numeric_prior_review.json
deleted file mode 100644
index 6213b958c96b3167417dc2f874364465b58afc2f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/numeric_prior_review.json
+++ /dev/null
@@ -1,610 +0,0 @@
-{
-  "scope": "Saved variant-B prior review only; no fitting, sampling or scientific correction executed by this reviewer.",
-  "stage_results": {
-    "tube": {
-      "returncode": 0,
-      "elapsed_s": 472.7576503290038
-    },
-    "colors": {
-      "returncode": 0,
-      "elapsed_s": 164.8647543900006
-    },
-    "hybrid": {
-      "returncode": 0,
-      "elapsed_s": 327.4266721489985
-    },
-    "review": {
-      "returncode": 0,
-      "elapsed_s": 316.97696249900036
-    },
-    "manifest": {
-      "returncode": 0,
-      "elapsed_s": 265.54419188800966
-    }
-  },
-  "fit_identity_matches_preparation_decision": true,
-  "fit_sha256": "3365dec0010a7eea2936d291f75511051dd6adf4afb8b668de03438306decb30",
-  "baseline_fit_and_manifest_unchanged": true,
-  "reused_input_bytes_equal": {
-    "inputs/observed_cloud.npz": true,
-    "inputs/reference_views.json": true,
-    "gaussian_data/session_20260921_233248_177244/0.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_0.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_human_0.png": true,
-    "gaussian_data/session_20260921_233248_177244/0_depth.npy": true,
-    "gaussian_data/session_20260921_233248_177244/1.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_1.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_human_1.png": true,
-    "gaussian_data/session_20260921_233248_177244/1_depth.npy": true,
-    "gaussian_data/session_20260921_233248_177244/2.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_2.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_human_2.png": true,
-    "gaussian_data/session_20260921_233248_177244/2_depth.npy": true,
-    "gaussian_data/session_20260921_233248_177244/3.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_3.png": true,
-    "gaussian_data/session_20260921_233248_177244/mask_human_3.png": true,
-    "gaussian_data/session_20260921_233248_177244/3_depth.npy": true,
-    "gaussian_data/session_20260921_233248_177244/camera_meta.pkl": true,
-    "gaussian_data/session_20260921_233248_177244/interp_poses.pkl": true,
-    "gaussian_data/session_20260921_233248_177244/observation.ply": true,
-    "spline/filter.json": true,
-    "spline/filter_removed.npz": true,
-    "spline/filtered_cloud.npz": true,
-    "inputs/depth_offset_diagnostic.json": true
-  },
-  "saved_array_checks": {
-    "spline/filtered_cloud.npz": {
-      "view": {
-        "shape": [
-          18412
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "pixel_uv": {
-        "shape": [
-          18412,
-          2
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "points": {
-        "shape": [
-          18412,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "colors": {
-        "shape": [
-          18412,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      }
-    },
-    "spline/residuals.npz": {
-      "distance_m": {
-        "shape": [
-          18412
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "view": {
-        "shape": [
-          18412
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "pixel_uv": {
-        "shape": [
-          18412,
-          2
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "points": {
-        "shape": [
-          18412,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      }
-    },
-    "spline/reprojection_residuals.npz": {
-      "pixel_uv": {
-        "shape": [
-          29317,
-          2
-        ],
-        "dtype": "float32",
-        "finite": true
-      },
-      "view": {
-        "shape": [
-          29317
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "distance_m": {
-        "shape": [
-          29317
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "distance_px": {
-        "shape": [
-          29317
-        ],
-        "dtype": "float64",
-        "finite": true
-      }
-    },
-    "tube/geometry.npz": {
-      "vertices": {
-        "shape": [
-          1728,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "faces": {
-        "shape": [
-          3456,
-          3
-        ],
-        "dtype": "int64",
-        "finite": true
-      },
-      "centers": {
-        "shape": [
-          144,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "normals": {
-        "shape": [
-          1728,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      }
-    },
-    "tube/triangle_areas.npz": {
-      "area_m2": {
-        "shape": [
-          3456
-        ],
-        "dtype": "float64",
-        "finite": true
-      }
-    },
-    "colors/vertex_colors.npz": {
-      "colors_rgb": {
-        "shape": [
-          1728,
-          3
-        ],
-        "dtype": "float64",
-        "finite": true
-      },
-      "colors_u8": {
-        "shape": [
-          1728,
-          3
-        ],
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/orbit_frames.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/orbit_frames.json
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--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_b_v1/orbit_frames.json
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-{
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-          "count": 6337,
-          "median_m": 0.006131396163254976,
-          "p90_m": 0.010572088137269021,
-          "max_m": 0.014930615201592445,
-          "beyond_2delta_fraction": 0.15590973646836043,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
-          "count": 4120,
-          "median_m": 0.010542564559727907,
-          "p90_m": 0.017982049286365508,
-          "max_m": 0.020186036825180054,
-          "beyond_2delta_fraction": 0.541504854368932,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "round": 1,
-      "relative_loss_change": 0.9902507890050455
-    },
-    "arclength_soft_bounds_m": [
-      0.5830000042915344,
-      0.5849999785423279
-    ],
-    "arclength_outside_soft_bounds_m": 0.00042259693145751953
-  },
-  "geometry": {
-    "vertex_count": 1728,
-    "triangle_count": 3456,
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 3.957752570888942e-05,
-      "minimum_outward_normal_dot_m": 0.004522543676238979,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 6.7956049025832965e-09,
-      "maximum_diameter_error_m": 1.3591209805166593e-08,
-      "bishop_seam_error": 0.0,
-      "minimum_nonadjacent_centerline_distance_m": 0.006287800352442404,
-      "triangle_area_m2": {
-        "min": 2.0564709284978463e-06,
-        "median": 4.852855653044753e-06,
-        "mean": 4.9942245479456206e-06,
-        "max": 6.959894928209357e-06,
-        "density_max_over_min": 3.3843877060266676
-      },
-      "bounds_m": [
-        [
-          -0.02601274661719799,
-          -0.244719460606575,
-          0.007835153490304947
-        ],
-        [
-          0.101390041410923,
-          0.007373368367552757,
-          0.03908699378371239
-        ]
-      ],
-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
-    }
-  },
-  "appearance_seed_counts": {
-    "observed": 18412,
-    "mesh": 103680,
-    "total": 122092,
-    "mesh_to_observed": 5.631110145557245
-  },
-  "vertex_colors": {
-    "observed_vertices": 1089,
-    "filled_vertices": 639
-  },
-  "mechanical_population": {
-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-  },
-  "source_code": {
-    "commit": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index 5dcf609b18b8084655e8529d60f9bf28abb7694c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,71 +0,0 @@
-# session_20260921_233248_177244 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent numerical and visual review is complete. This candidate is not accepted; all old chain-prior acceptances remain revoked. This packet reports the observations and tradeoffs below and grants no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 208 / 209 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_0_12540311.png>) |
-| 12933256 | 1 / 208 / 209 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 208 / 209 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 208 / 209 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_chain_lower_curvature_v2/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_chain_lower_curvature_v2/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_chain_lower_curvature_v2/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_chain_lower_curvature_v2/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.411 mm**, maximum curvature **105.489/m**, final gradient norm **6.24481e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.411 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_chain_lower_curvature_v2/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 8.541 / 13.838 | 99.02% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 5.780 / 20.010 | 94.89% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 6.130 / 10.571 | 97.90% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 10.549 / 18.010 | 98.52% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **18412 of 18889** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **4**.
-
-Appearance initialization contains **18412 observed + 103680 mesh-derived = 122092 seeds**. Vertex colors are observed for 1093 mesh vertices and median-filled for 635. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../prior_chain_lower_curvature_v2/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_chain_lower_curvature_v2/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Manifest](<../prior_chain_lower_curvature_v2/manifest.json>) · [Fit settings and metrics](<../prior_chain_lower_curvature_v2/steps/fit.json>) · [Reference observations](<../prior_chain_lower_curvature_v2/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The agent inspected 21 actual initial-prior panels and 9 orbit samples. [Exact findings and paired metrics](<agent_findings.json>) retain the coverage. No owner approval, case status, mechanics or appearance authorization is changed.
-
-## Comparison with the retained M18 baseline
-
-Both owner-authorized candidates are complete and reviewed. **Neither is accepted, and all old chain-prior acceptances remain revoked.** Lower curvature uses M18 / 5e-10 / reprojection 4; stronger reprojection uses M18 / 5e-9 / reprojection 8. Every other fit, input and geometry setting matches the designated baseline.
-
-| Run | Mean 2D distance (mm) | Mean 3D distance (mm) | Length (mm) | Soft upper excess (mm) | Max curvature (/m) | Surface z range (mm) |
-|---|---:|---:|---:|---:|---:|---|
-| retained_M18_baseline | 3.230300 | 8.389743 | 585.422575 | 0.422597 | 105.469978 | 7.835153 to 39.086994 |
-| lower_curvature | 3.230262 | 8.390043 | 585.410774 | 0.410795 | 105.489342 | 7.833285 to 39.094202 |
-| stronger_reprojection | 3.093955 | 9.176348 | 585.802734 | 0.802755 | 101.728271 | 6.917458 to 38.935114 |
-
-Lowering curvature weight from 5e-9 to 5e-10 produces effectively unchanged visible geometry and raw residuals under the unchanged solver. It is not evidence that a smaller penalty improves this case.
-
-Doubling reprojection weight improves the mean mask-to-centerline distance in every camera, with small visible contour shifts; pooled point-to-centerline distance and soft-length excess increase. This is a measured tradeoff, not a physical-accuracy result or global winner.
-
-The 2D metric is the equal-view mean visible-mask-pixel distance to the projected centerline; it is not silhouette IoU. The 3D metric is pooled lifted-point distance to the centerline; it is not tube-surface error or ground-truth accuracy. Differently weighted total objectives are not ranked. The results have no new noise or significance bound.
-
-Both candidates follow the exposed narrow chain loop in all four views. The upper grasp remains rounded and hidden closures project across the two hands; camera 12933256 has extensive foreground forearm/sleeve occlusion. This is inferred closed-loop geometry, not a directly measured hidden contour or proof of physical hand penetration.
-
-The two long arcs and grasp closures remain visually very similar across baseline and both candidates. The stronger-reprojection arm has small contour shifts, most visible along the exposed cameras 12540311 and 23007103 arcs; neither arm provides a dramatic visual correction of the hidden shape.
-
-Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse.
-
-The 4.75 mm radius circular tube approximates the linked chain. Ring samples are tube cross-sections, not individual rollers, plates, link gaps or articulation. The object-to-table depth offsets remain uncorrected.
-
-This candidate stops after 1 outer round(s) at `gradient_tolerance`, gradient norm 6.2448096e-05. Soft length and curvature thresholds remain penalties, not hard feasibility limits. Its tube has 144 rings, 1728 vertices and 3456 triangles at 4.75 mm radius; the saved surface-intersection checks pass. Colors are observed for 1093 vertices and median-filled for 635. Hybrid seeds remain 18,412 observed + 103,680 mesh-derived = 122,092; these are appearance seeds, not mechanical particles or mass.
-
-Actual inspection covered 21 panels per candidate: four inputs, four masked centerlines, eight masked/unmasked silhouettes, and scale/depth cloud, depth offset, residual histograms, colors/fill, hybrid populations. Nine orbit samples 0, 4, 8, 13, 17, 21, 26, 30, 35 of 36 at 12 fps were inspected per candidate. The four retained baseline centerline overlays were also inspected. This is bounded sampled viewing, not continuous playback.
-
-Both hands participate: the retained pre-prior reference has 30 controls (14 hand_A, 16 hand_B), selected after the inclusive 4 cm initial gate; maximum initial distance 39.913 mm. Camera 12933256 loses substantial chain support behind the foreground arm. Initial cloud scatter and camera-dependent depth disagreement remain, and missing 3D observations remain NaN. The earlier reference inspection sampled 13 times per view; it does not provide every-frame physical-fitting clearance. [Reference review](<../review_v1/REVIEW.md>). These initial priors do not clear later observations for physical fitting.
-
-[Other candidate](<../prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md>) · [Numerical checks](<numeric_prior_review.json>) · [Exact visual findings](<agent_findings.json>).
-
-All six scientific stages and the single explicit-run packager/check returned zero. All 27 reused input payloads match the designated baseline byte-for-byte, and the copied inputs exclude the derived shape GLB. Both designated old M18 baseline fits and manifests remain unchanged. Saved controls and all seven numerical array families are finite; per-view residual quantiles, geometry radius/bounds, vertex colors and hybrid correspondence were checked. Only the assigned new review packets and unique scratch were written; no source, scientific product, global status or owner record was changed.
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json
deleted file mode 100644
index badf7268206f26a08d8d537d3c272d28e581112a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json
+++ /dev/null
@@ -1,609 +0,0 @@
-{
-  "case_id": "233248",
-  "candidate": "lower_curvature",
-  "reviewed_utc": "2026-10-28T22:50:57.811051+00:00",
-  "scope": {
-    "goal": "Review both owner-authorized parameter candidates and compare with the retained M18 prior",
-    "done_when": "Per candidate: six science results zero, one package/check,21 actual panels+9 orbit samples, numerical identity/geometry checks and paired findings",
-    "non_goals": [
-      "No science execution or modified scientific products",
-      "No global selection or restoration of revoked acceptances",
-      "No mechanics, trained appearance or physical fitting"
-    ],
-    "validation": "Saved stage results, exact requested settings and unchanged remaining settings, 27 input-byte comparisons, both designated baseline identities, numerical arrays, actual images, and linked packet"
-  },
-  "job": {
-    "case_id": "233248",
-    "session_id": "session_20260921_233248_177244",
-    "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1",
-    "candidate": "lower_curvature",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-    "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_lower_curvature_v2",
-    "baseline": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b",
-    "settings": {
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
-      "reprojection_weight": 4.0
-    },
-    "baseline_manifest_sha256": "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "baseline_fit_sha256": "3365dec0010a7eea2936d291f75511051dd6adf4afb8b668de03438306decb30"
-  },
-  "owner_prior_approval": "not accepted; old chain-prior acceptances remain revoked",
-  "full_sequence_physical_fitting_clearance": false,
-  "readiness": "both_candidates_ready_for_owner_comparison_with_preserved_limitations",
-  "inspected_images_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_inspection": {
-    "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
-    "reported_frames": 36,
-    "fps": 12.0,
-    "selected_frame_indices": [
-      0,
-      4,
-      8,
-      13,
-      17,
-      21,
-      26,
-      30,
-      35
-    ],
-    "method": "Nine selected direct reads; no continuous playback or full decode claim",
-    "visual_inspection_pending": false,
-    "visual_inspection_complete": true,
-    "observations": "Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse."
-  },
-  "baseline_additional_visual_inspection": [
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png"
-  ],
-  "common_visual_findings": [
-    "Both candidates follow the exposed narrow chain loop in all four views. The upper grasp remains rounded and hidden closures project across the two hands; camera 12933256 has extensive foreground forearm/sleeve occlusion. This is inferred closed-loop geometry, not a directly measured hidden contour or proof of physical hand penetration.",
-    "The two long arcs and grasp closures remain visually very similar across baseline and both candidates. The stronger-reprojection arm has small contour shifts, most visible along the exposed cameras 12540311 and 23007103 arcs; neither arm provides a dramatic visual correction of the hidden shape.",
-    "Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse.",
-    "The 4.75 mm radius circular tube approximates the linked chain. Ring samples are tube cross-sections, not individual rollers, plates, link gaps or articulation. The object-to-table depth offsets remain uncorrected."
-  ],
-  "candidate_interpretation": "Lowering curvature weight from 5e-9 to 5e-10 produces effectively unchanged visible geometry and raw residuals under the unchanged solver. It is not evidence that a smaller penalty improves this case.",
-  "paired_metrics": [
-    {
-      "label": "retained_M18_baseline",
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-      "lambda_curvature_cost": 5e-09,
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-      "point_to_centerline_per_view": [
-        {
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-      "geometry_passed": true
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-    {
-      "label": "lower_curvature",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
-      "reprojection_weight": 4.0,
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-      "stop": "gradient_tolerance",
-      "grad_norm": 6.244809628697112e-05,
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-      "mean_2d_mask_to_centerline_mm": 3.2302619068474154,
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-        1093,
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-      "point_to_centerline_per_view": [
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-          "count": 6337,
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-        {
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-      "geometry_passed": true,
-      "delta_from_baseline": {
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-        "soft_length_excess_mm": -0.011801719665527344,
-        "max_curvature_per_m": 0.0193634033203125,
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-        "mean_2d_mask_to_centerline_mm": -3.7793919371420515e-05
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-    {
-      "label": "stronger_reprojection",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 8.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 8.328961848746985e-05,
-      "length_mm": 585.8027338981628,
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-      "observed_filled_vertices": [
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-      "delta_from_baseline": {
-        "length_mm": 0.3801584243774414,
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-        "max_curvature_per_m": -3.7417068481445312,
-        "mean_3d_point_to_centerline_mm": 0.7866049708459997,
-        "mean_2d_mask_to_centerline_mm": -0.13634492038208323
-      }
-    }
-  ],
-  "comparison_rule": "Common raw diagnostics and visual evidence; differently weighted total objectives are not ranked. No noise/significance bound is inferred.",
-  "temporal_and_hand_context": "Both hands participate: the retained pre-prior reference has 30 controls (14 hand_A, 16 hand_B), selected after the inclusive 4 cm initial gate; maximum initial distance 39.913 mm. Camera 12933256 loses substantial chain support behind the foreground arm. Initial cloud scatter and camera-dependent depth disagreement remain, and missing 3D observations remain NaN. The earlier reference inspection sampled 13 times per view; it does not provide every-frame physical-fitting clearance.",
-  "reference_review_record": {
-    "case": "233248",
-    "window_anchor_inclusive": [
-      208,
-      747
-    ],
-    "reviewer": "chain preparation agent",
-    "reviewed_utc": "2026-10-28T13:08:53.813975+00:00",
-    "coverage": {
-      "RGB_tracking_sheets": {
-        "cameras": [
-          "12540311",
-          "12933256",
-          "17736741",
-          "23007103"
-        ],
-        "native_times_per_camera": [
-          0,
-          45,
-          90,
-          135,
-          180,
-          225,
-          270,
-          315,
-          360,
-          405,
-          450,
-          495,
-          539
-        ],
-        "sheets_inspected": 12,
-        "source_indices": "Each camera rgb_sample_index.json records converted/native indices, timestamps and crops."
-      },
-      "native_RGB_WAFT_panels": {
-        "12540311": [
-          135
-        ],
-        "12933256": [
-          135
-        ],
-        "17736741": [
-          315
-        ],
-        "23007103": [
-          135
-        ]
-      },
-      "all_time_plots": [
-        "tracker_visibility_and_certainty (all four cameras)",
-        "support_and_rejections (all four cameras)",
-        "paired_native_WAFT_depth (all four cameras)",
-        "derived_coverage"
-      ],
-      "derived_geometry": [
-        "object_and_hand_xy.png",
-        "source_center_graph.png"
-      ]
-    },
-    "observations": [
-      "At all 13 sampled times in each of four views, admitted object support follows the visible chain and hand support follows the physical right and left hands; no broad background drift or hand-identity swap is visible.",
-      "Object support remains nonzero in every native view throughout the selected span. Camera 12933256 has substantially less support during foreground-arm occlusion (55\u2013248 admitted native object points); hidden and rejected predictions remain separate from measurements.",
-      "All 30 selected controls remain valid at every derived sample: 14 hand_A and 16 hand_B. The global FPS population was selected after the unchanged inclusive 4 cm initial gate; maximum selected distance is 39.91314803066454 mm. No hand quota was imposed.",
-      "The 541-sample exact 30 Hz derived bundle retains 707 mesh-free object representatives with 430\u2013707 visible per sample. Initial, middle and final XY views preserve the chain configuration; the initial cloud has measurable scatter. No isolated object node or unattached control is reported in the source-center graph.",
-      "Native-versus-WAFT depth differences vary by camera and time. These are paired same-pixel diagnostics, not depth truth; no depth replacement, gap filling, point movement or threshold change was applied."
-    ],
-    "array_checks": {
-      "raw_queries_and_native_times_unchanged": true,
-      "raw_TAP_coordinates_logits_certainty_finite": true,
-      "lifted_valid_samples_finite": true,
-      "missing_3d_samples_remain_NaN": true,
-      "all_role_and_human_masks_covered": true,
-      "selected_controls_all_time_valid": true,
-      "participating_hands": [
-        "hand_A",
-        "hand_B"
-      ],
-      "selected_controls_per_hand": {
-        "hand_A": 14,
-        "hand_B": 16
-      },
-      "controller_initial_distance_m_max": 0.03991314803066454,
-      "initial_object_xyz_m_min_max": [
-        [
-          -0.03047075106504542,
-          -0.24886165519310022,
-          -0.0019702112750242234
-        ],
-        [
-          0.09300282201994965,
-          0.023481816239153824,
-          0.04389297479033285
-        ]
-      ],
-      "unit_masses_and_model_arrays_equal_saved_observations": true
-    },
-    "initialization": {
-      "nodes": 707,
-      "controls": 30,
-      "total_source_mass_units": 707.0,
-      "source_center_graph": {
-        "object_springs": 10772,
-        "controller_springs": 724,
-        "object_rest_min_max_m": [
-          0.000310589064611122,
-          0.019994795322418213
-        ],
-        "controller_rest_min_max_m": [
-          0.010204235091805458,
-          0.03995547443628311
-        ],
-        "isolated_object_nodes": 0,
-        "attached_object_nodes": 148,
-        "controls_without_attachment": 0,
-        "attachments_by_hand": {
-          "hand_A": 371,
-          "hand_B": 353
-        }
-      }
-    },
-    "interpretation": "No material blocker found to preparing the requested current-C2 bike-chain prior from these accepted inputs. This is agent inspection, not owner acceptance of a future prior or appearance. The mesh-free node count is pre-prior inspection, not final mechanics.",
-    "limitations": [
-      "Visual review sampled 13 times per view, not every video frame.",
-      "Tracker visibility and certainty are not geometric accuracy.",
-      "Initial lifted scatter and multiview depth differences remain; the requested prior geometry, silhouette/depth diagnostics and owner review are still required."
-    ],
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json
deleted file mode 100644
index b15a04f2d5ed21e5ddedf9653bc6bd8569befbd4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json
+++ /dev/null
@@ -1,833 +0,0 @@
-{
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json
deleted file mode 100644
index 86940d0f7a436f738b10ea295c59249e20f85dc6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
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-  "method": "Nine selected direct reads; no continuous playback or full decode claim",
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-  "visual_inspection_complete": true,
-  "observations": "Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse."
-}
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--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames/frame_035.jpg
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c4d5fefe353b8db5dd33778c5d89a83d583b5792d2b490ff32a27ccc199dbb37
-size 49258
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/packet_validation.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/packet_validation.json
deleted file mode 100644
index 97ea83822c203b3a25280dad0d837a447deae8b6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/packet_validation.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-  "all_markdown_links_exist": true,
-  "link_count": 50,
-  "panels_inspected": 21,
-  "orbit_samples_inspected": 9,
-  "review_only": true,
-  "no_acceptance": true
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/prior_metrics.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/prior_metrics.json
deleted file mode 100644
index fc88be50ba306754eba5d1e08f215fdaf83a19e7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/prior_metrics.json
+++ /dev/null
@@ -1,436 +0,0 @@
-{
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-  "owner_prior_approval": "pending",
-  "visual_quality_assessment": "not performed by this packager",
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-    "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
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-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 3.9576752429131664e-05,
-      "minimum_outward_normal_dot_m": 0.004522768097808061,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 7.26683560461211e-09,
-      "maximum_diameter_error_m": 1.39546537901436e-08,
-      "bishop_seam_error": 2.9802322387695312e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.006300799347888567,
-      "triangle_area_m2": {
-        "min": 2.0533710284731095e-06,
-        "median": 4.858620277644157e-06,
-        "mean": 4.994129334743499e-06,
-        "max": 6.944253042613088e-06,
-        "density_max_over_min": 3.38187933223975
-      },
-      "bounds_m": [
-        [
-          -0.0260089710354805,
-          -0.2447315901517868,
-          0.007833285257220268
-        ],
-        [
-          0.10137023776769638,
-          0.0073817018419504166,
-          0.03909420222043991
-        ]
-      ],
-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
-    }
-  },
-  "appearance_seed_counts": {
-    "observed": 18412,
-    "mesh": 103680,
-    "total": 122092,
-    "mesh_to_observed": 5.631110145557245
-  },
-  "vertex_colors": {
-    "observed_vertices": 1093,
-    "filled_vertices": 635
-  },
-  "mechanical_population": {
-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-  },
-  "source_code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index 2674d90fb3be7b4ae98ffc6d62191ab3fa0e9292..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,71 +0,0 @@
-# session_20260921_233248_177244 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent numerical and visual review is complete. This candidate is not accepted; all old chain-prior acceptances remain revoked. This packet reports the observations and tradeoffs below and grants no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 208 / 209 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_0_12540311.png>) |
-| 12933256 | 1 / 208 / 209 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 208 / 209 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 208 / 209 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_chain_stronger_reprojection_v2/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_chain_stronger_reprojection_v2/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_chain_stronger_reprojection_v2/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.803 mm**, maximum curvature **101.728/m**, final gradient norm **8.32896e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.803 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_chain_stronger_reprojection_v2/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 9.531 / 14.996 | 98.69% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 5.980 / 19.623 | 94.81% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 6.820 / 11.706 | 98.19% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 11.523 / 18.993 | 98.81% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **18412 of 18889** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **8**.
-
-Appearance initialization contains **18412 observed + 103680 mesh-derived = 122092 seeds**. Vertex colors are observed for 1094 mesh vertices and median-filled for 634. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../prior_chain_stronger_reprojection_v2/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_chain_stronger_reprojection_v2/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Manifest](<../prior_chain_stronger_reprojection_v2/manifest.json>) · [Fit settings and metrics](<../prior_chain_stronger_reprojection_v2/steps/fit.json>) · [Reference observations](<../prior_chain_stronger_reprojection_v2/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The agent inspected 21 actual initial-prior panels and 9 orbit samples. [Exact findings and paired metrics](<agent_findings.json>) retain the coverage. No owner approval, case status, mechanics or appearance authorization is changed.
-
-## Comparison with the retained M18 baseline
-
-Both owner-authorized candidates are complete and reviewed. **Neither is accepted, and all old chain-prior acceptances remain revoked.** Lower curvature uses M18 / 5e-10 / reprojection 4; stronger reprojection uses M18 / 5e-9 / reprojection 8. Every other fit, input and geometry setting matches the designated baseline.
-
-| Run | Mean 2D distance (mm) | Mean 3D distance (mm) | Length (mm) | Soft upper excess (mm) | Max curvature (/m) | Surface z range (mm) |
-|---|---:|---:|---:|---:|---:|---|
-| retained_M18_baseline | 3.230300 | 8.389743 | 585.422575 | 0.422597 | 105.469978 | 7.835153 to 39.086994 |
-| lower_curvature | 3.230262 | 8.390043 | 585.410774 | 0.410795 | 105.489342 | 7.833285 to 39.094202 |
-| stronger_reprojection | 3.093955 | 9.176348 | 585.802734 | 0.802755 | 101.728271 | 6.917458 to 38.935114 |
-
-Lowering curvature weight from 5e-9 to 5e-10 produces effectively unchanged visible geometry and raw residuals under the unchanged solver. It is not evidence that a smaller penalty improves this case.
-
-Doubling reprojection weight improves the mean mask-to-centerline distance in every camera, with small visible contour shifts; pooled point-to-centerline distance and soft-length excess increase. This is a measured tradeoff, not a physical-accuracy result or global winner.
-
-The 2D metric is the equal-view mean visible-mask-pixel distance to the projected centerline; it is not silhouette IoU. The 3D metric is pooled lifted-point distance to the centerline; it is not tube-surface error or ground-truth accuracy. Differently weighted total objectives are not ranked. The results have no new noise or significance bound.
-
-Both candidates follow the exposed narrow chain loop in all four views. The upper grasp remains rounded and hidden closures project across the two hands; camera 12933256 has extensive foreground forearm/sleeve occlusion. This is inferred closed-loop geometry, not a directly measured hidden contour or proof of physical hand penetration.
-
-The two long arcs and grasp closures remain visually very similar across baseline and both candidates. The stronger-reprojection arm has small contour shifts, most visible along the exposed cameras 12540311 and 23007103 arcs; neither arm provides a dramatic visual correction of the hidden shape.
-
-Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse.
-
-The 4.75 mm radius circular tube approximates the linked chain. Ring samples are tube cross-sections, not individual rollers, plates, link gaps or articulation. The object-to-table depth offsets remain uncorrected.
-
-This candidate stops after 1 outer round(s) at `gradient_tolerance`, gradient norm 8.3289618e-05. Soft length and curvature thresholds remain penalties, not hard feasibility limits. Its tube has 144 rings, 1728 vertices and 3456 triangles at 4.75 mm radius; the saved surface-intersection checks pass. Colors are observed for 1094 vertices and median-filled for 634. Hybrid seeds remain 18,412 observed + 103,680 mesh-derived = 122,092; these are appearance seeds, not mechanical particles or mass.
-
-Actual inspection covered 21 panels per candidate: four inputs, four masked centerlines, eight masked/unmasked silhouettes, and scale/depth cloud, depth offset, residual histograms, colors/fill, hybrid populations. Nine orbit samples 0, 4, 8, 13, 17, 21, 26, 30, 35 of 36 at 12 fps were inspected per candidate. The four retained baseline centerline overlays were also inspected. This is bounded sampled viewing, not continuous playback.
-
-Both hands participate: the retained pre-prior reference has 30 controls (14 hand_A, 16 hand_B), selected after the inclusive 4 cm initial gate; maximum initial distance 39.913 mm. Camera 12933256 loses substantial chain support behind the foreground arm. Initial cloud scatter and camera-dependent depth disagreement remain, and missing 3D observations remain NaN. The earlier reference inspection sampled 13 times per view; it does not provide every-frame physical-fitting clearance. [Reference review](<../review_v1/REVIEW.md>). These initial priors do not clear later observations for physical fitting.
-
-[Other candidate](<../prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md>) · [Numerical checks](<numeric_prior_review.json>) · [Exact visual findings](<agent_findings.json>).
-
-All six scientific stages and the single explicit-run packager/check returned zero. All 27 reused input payloads match the designated baseline byte-for-byte, and the copied inputs exclude the derived shape GLB. Both designated old M18 baseline fits and manifests remain unchanged. Saved controls and all seven numerical array families are finite; per-view residual quantiles, geometry radius/bounds, vertex colors and hybrid correspondence were checked. Only the assigned new review packets and unique scratch were written; no source, scientific product, global status or owner record was changed.
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json
deleted file mode 100644
index baabc6bf47ff50c4cb27ce6905bb8566380bcbef..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json
+++ /dev/null
@@ -1,609 +0,0 @@
-{
-  "case_id": "233248",
-  "candidate": "stronger_reprojection",
-  "reviewed_utc": "2026-10-28T22:50:57.813107+00:00",
-  "scope": {
-    "goal": "Review both owner-authorized parameter candidates and compare with the retained M18 prior",
-    "done_when": "Per candidate: six science results zero, one package/check,21 actual panels+9 orbit samples, numerical identity/geometry checks and paired findings",
-    "non_goals": [
-      "No science execution or modified scientific products",
-      "No global selection or restoration of revoked acceptances",
-      "No mechanics, trained appearance or physical fitting"
-    ],
-    "validation": "Saved stage results, exact requested settings and unchanged remaining settings, 27 input-byte comparisons, both designated baseline identities, numerical arrays, actual images, and linked packet"
-  },
-  "job": {
-    "case_id": "233248",
-    "session_id": "session_20260921_233248_177244",
-    "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1",
-    "candidate": "stronger_reprojection",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2",
-    "baseline": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/chain_centerline_comparison_v1/variant_b",
-    "settings": {
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 8.0
-    },
-    "baseline_manifest_sha256": "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-    "baseline_fit_sha256": "3365dec0010a7eea2936d291f75511051dd6adf4afb8b668de03438306decb30"
-  },
-  "owner_prior_approval": "not accepted; old chain-prior acceptances remain revoked",
-  "full_sequence_physical_fitting_clearance": false,
-  "readiness": "both_candidates_ready_for_owner_comparison_with_preserved_limitations",
-  "inspected_images_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_inspection": {
-    "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
-    "reported_frames": 36,
-    "fps": 12.0,
-    "selected_frame_indices": [
-      0,
-      4,
-      8,
-      13,
-      17,
-      21,
-      26,
-      30,
-      35
-    ],
-    "method": "Nine selected direct reads; no continuous playback or full decode claim",
-    "visual_inspection_pending": false,
-    "visual_inspection_complete": true,
-    "observations": "Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse."
-  },
-  "baseline_additional_visual_inspection": [
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png"
-  ],
-  "common_visual_findings": [
-    "Both candidates follow the exposed narrow chain loop in all four views. The upper grasp remains rounded and hidden closures project across the two hands; camera 12933256 has extensive foreground forearm/sleeve occlusion. This is inferred closed-loop geometry, not a directly measured hidden contour or proof of physical hand penetration.",
-    "The two long arcs and grasp closures remain visually very similar across baseline and both candidates. The stronger-reprojection arm has small contour shifts, most visible along the exposed cameras 12540311 and 23007103 arcs; neither arm provides a dramatic visual correction of the hidden shape.",
-    "Scale/depth and hybrid panels retain multiview thickness/scatter around the tube and sparse points away from the main loop. Colors are median-filled on underside and occluded ends. Both orbit samples show a closed continuous loop with smooth height variation and no gross crossing, detached segment, seam opening or local tube collapse.",
-    "The 4.75 mm radius circular tube approximates the linked chain. Ring samples are tube cross-sections, not individual rollers, plates, link gaps or articulation. The object-to-table depth offsets remain uncorrected."
-  ],
-  "candidate_interpretation": "Doubling reprojection weight improves the mean mask-to-centerline distance in every camera, with small visible contour shifts; pooled point-to-centerline distance and soft-length excess increase. This is a measured tradeoff, not a physical-accuracy result or global winner.",
-  "paired_metrics": [
-    {
-      "label": "retained_M18_baseline",
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-      "geometry_passed": true
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-    {
-      "label": "lower_curvature",
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-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
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-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 6.244809628697112e-05,
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-      "point_to_centerline_per_view": [
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-          "count": 6337,
-          "median_m": 0.006130029913038015,
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-          "count": 4120,
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-      "geometry_passed": true,
-      "delta_from_baseline": {
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-        "mean_2d_mask_to_centerline_mm": -3.7793919371420515e-05
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-    {
-      "label": "stronger_reprojection",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 8.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 8.328961848746985e-05,
-      "length_mm": 585.8027338981628,
-      "soft_length_excess_mm": 0.8027553558349609,
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-      "surface_z_min_max_mm": [
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-      "observed_filled_vertices": [
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-      "point_to_centerline_per_view": [
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-          "count": 4120,
-          "median_m": 0.011522744782269001,
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-          "at_cap_fraction": 0.0
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-      ],
-      "geometry_passed": true,
-      "delta_from_baseline": {
-        "length_mm": 0.3801584243774414,
-        "soft_length_excess_mm": 0.3801584243774414,
-        "max_curvature_per_m": -3.7417068481445312,
-        "mean_3d_point_to_centerline_mm": 0.7866049708459997,
-        "mean_2d_mask_to_centerline_mm": -0.13634492038208323
-      }
-    }
-  ],
-  "comparison_rule": "Common raw diagnostics and visual evidence; differently weighted total objectives are not ranked. No noise/significance bound is inferred.",
-  "temporal_and_hand_context": "Both hands participate: the retained pre-prior reference has 30 controls (14 hand_A, 16 hand_B), selected after the inclusive 4 cm initial gate; maximum initial distance 39.913 mm. Camera 12933256 loses substantial chain support behind the foreground arm. Initial cloud scatter and camera-dependent depth disagreement remain, and missing 3D observations remain NaN. The earlier reference inspection sampled 13 times per view; it does not provide every-frame physical-fitting clearance.",
-  "reference_review_record": {
-    "case": "233248",
-    "window_anchor_inclusive": [
-      208,
-      747
-    ],
-    "reviewer": "chain preparation agent",
-    "reviewed_utc": "2026-10-28T13:08:53.813975+00:00",
-    "coverage": {
-      "RGB_tracking_sheets": {
-        "cameras": [
-          "12540311",
-          "12933256",
-          "17736741",
-          "23007103"
-        ],
-        "native_times_per_camera": [
-          0,
-          45,
-          90,
-          135,
-          180,
-          225,
-          270,
-          315,
-          360,
-          405,
-          450,
-          495,
-          539
-        ],
-        "sheets_inspected": 12,
-        "source_indices": "Each camera rgb_sample_index.json records converted/native indices, timestamps and crops."
-      },
-      "native_RGB_WAFT_panels": {
-        "12540311": [
-          135
-        ],
-        "12933256": [
-          135
-        ],
-        "17736741": [
-          315
-        ],
-        "23007103": [
-          135
-        ]
-      },
-      "all_time_plots": [
-        "tracker_visibility_and_certainty (all four cameras)",
-        "support_and_rejections (all four cameras)",
-        "paired_native_WAFT_depth (all four cameras)",
-        "derived_coverage"
-      ],
-      "derived_geometry": [
-        "object_and_hand_xy.png",
-        "source_center_graph.png"
-      ]
-    },
-    "observations": [
-      "At all 13 sampled times in each of four views, admitted object support follows the visible chain and hand support follows the physical right and left hands; no broad background drift or hand-identity swap is visible.",
-      "Object support remains nonzero in every native view throughout the selected span. Camera 12933256 has substantially less support during foreground-arm occlusion (55\u2013248 admitted native object points); hidden and rejected predictions remain separate from measurements.",
-      "All 30 selected controls remain valid at every derived sample: 14 hand_A and 16 hand_B. The global FPS population was selected after the unchanged inclusive 4 cm initial gate; maximum selected distance is 39.91314803066454 mm. No hand quota was imposed.",
-      "The 541-sample exact 30 Hz derived bundle retains 707 mesh-free object representatives with 430\u2013707 visible per sample. Initial, middle and final XY views preserve the chain configuration; the initial cloud has measurable scatter. No isolated object node or unattached control is reported in the source-center graph.",
-      "Native-versus-WAFT depth differences vary by camera and time. These are paired same-pixel diagnostics, not depth truth; no depth replacement, gap filling, point movement or threshold change was applied."
-    ],
-    "array_checks": {
-      "raw_queries_and_native_times_unchanged": true,
-      "raw_TAP_coordinates_logits_certainty_finite": true,
-      "lifted_valid_samples_finite": true,
-      "missing_3d_samples_remain_NaN": true,
-      "all_role_and_human_masks_covered": true,
-      "selected_controls_all_time_valid": true,
-      "participating_hands": [
-        "hand_A",
-        "hand_B"
-      ],
-      "selected_controls_per_hand": {
-        "hand_A": 14,
-        "hand_B": 16
-      },
-      "controller_initial_distance_m_max": 0.03991314803066454,
-      "initial_object_xyz_m_min_max": [
-        [
-          -0.03047075106504542,
-          -0.24886165519310022,
-          -0.0019702112750242234
-        ],
-        [
-          0.09300282201994965,
-          0.023481816239153824,
-          0.04389297479033285
-        ]
-      ],
-      "unit_masses_and_model_arrays_equal_saved_observations": true
-    },
-    "initialization": {
-      "nodes": 707,
-      "controls": 30,
-      "total_source_mass_units": 707.0,
-      "source_center_graph": {
-        "object_springs": 10772,
-        "controller_springs": 724,
-        "object_rest_min_max_m": [
-          0.000310589064611122,
-          0.019994795322418213
-        ],
-        "controller_rest_min_max_m": [
-          0.010204235091805458,
-          0.03995547443628311
-        ],
-        "isolated_object_nodes": 0,
-        "attached_object_nodes": 148,
-        "controls_without_attachment": 0,
-        "attachments_by_hand": {
-          "hand_A": 371,
-          "hand_B": 353
-        }
-      }
-    },
-    "interpretation": "No material blocker found to preparing the requested current-C2 bike-chain prior from these accepted inputs. This is agent inspection, not owner acceptance of a future prior or appearance. The mesh-free node count is pre-prior inspection, not final mechanics.",
-    "limitations": [
-      "Visual review sampled 13 times per view, not every video frame.",
-      "Tracker visibility and certainty are not geometric accuracy.",
-      "Initial lifted scatter and multiview depth differences remain; the requested prior geometry, silhouette/depth diagnostics and owner review are still required."
-    ],
-    "full_window_media": {
-      "12540311": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/12540311/rgb_waft_depth_full_window.mp4",
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json
deleted file mode 100644
index c8091dea2a78fe4740d9e0c433391a5a1e47a66f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json
+++ /dev/null
@@ -1,833 +0,0 @@
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json
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--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
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-{
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-      "bounds_m": [
-        [
-          -0.02584436908364296,
-          -0.24476440250873566,
-          0.006917458027601242
-        ],
-        [
-          0.10132459551095963,
-          0.007686873897910118,
-          0.038935113698244095
-        ]
-      ],
-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
-    }
-  },
-  "appearance_seed_counts": {
-    "observed": 18412,
-    "mesh": 103680,
-    "total": 122092,
-    "mesh_to_observed": 5.631110145557245
-  },
-  "vertex_colors": {
-    "observed_vertices": 1094,
-    "filled_vertices": 634
-  },
-  "mechanical_population": {
-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-  },
-  "source_code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_result.json
deleted file mode 100644
index 9486cbbf529aacec485f4907175a99cbb4a1cf6a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 12.59115836800629
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/agent_findings.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/agent_findings.json
deleted file mode 100644
index c0f5178abf932cf2add4adc50cf1495ebdb6f4b6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/agent_findings.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "status": "current C2 prior completed and reviewed; owner prior acceptance pending",
-  "identity": {
-    "prior_manifest_sha256": "8a2748dd8555f95fd651c2cb13800ecde5b7d1c13f21dc1a0b9947a6b6d08533",
-    "mesh_sha256": "2c9722285018e8835442f04348063ace8cb2c110da1800d7feac39ce794a2c3c"
-  },
-  "visually_inspected_prior_files": [
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/colors/visibility_and_fill.png",
-    "review/spline/fit_3d.png",
-    "review/spline/residual_histograms.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_frames_inspected": [
-    0,
-    5,
-    10,
-    15,
-    20,
-    25,
-    30,
-    35
-  ],
-  "orbit_frame_count": 36,
-  "observations": [
-    "The tube/centerline follows the visible chain in all four views and preserves its elongated noncircular shape and bends.",
-    "The closed spline continues under the two hands; those sections are inferred and camera12933256 has substantial occlusion.",
-    "A continuous4.75mm-radius tube approximates the chain, without link-resolved geometry.",
-    "The depth clouds have view-dependent vertical/lateral spread; the spline has not been flattened or shifted to the table.",
-    "No confirmed surface self-intersection; minimum nonadjacent ring-centre distance is diagnostic only under approved Q8."
-  ],
-  "measurements": {
-    "arclength_m": 0.5853944420814514,
-    "arclength_soft_upper_bound_exceedance_m": 0.00039444208145145154,
-    "max_curvature_per_m": 92.25138854980469,
-    "gradient_norm": 8.69055584189482e-05,
-    "rounds": 2,
-    "tube_min_z_m": 0.0068970248103141785,
-    "per_view_median_centerline_residual_m": [
-      0.008376180194318295,
-      0.005763906287029386,
-      0.0064223394729197025,
-      0.010788764338940382
-    ],
-    "visible_centerline_inside_mask_fraction": [
-      0.9636363636363636,
-      0.9407407407407408,
-      0.9622641509433962,
-      0.984472049689441
-    ],
-    "hybrid_counts": {
-      "observed": 18412,
-      "mesh": 51840,
-      "total": 70252,
-      "mesh_to_observed": 2.8155550727786225
-    }
-  },
-  "interpretation": "Ready for separate owner prior review. Geometry checks and image agreement do not establish physical accuracy or accepted appearance. No mechanical population or trained appearance is claimed for this case."
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/orbit_samples.png b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/orbit_samples.png
deleted file mode 100644
index 79492d3851b3ca18c54da0ca723eebb64e4cf831..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/orbit_samples.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6cda9bf9e476c1dcebb913b3da0862372c7404c9f5f9a74770de114cf2fd5b00
-size 395101
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/source_frame_mapping.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/source_frame_mapping.json
deleted file mode 100644
index d32726c582107e47e138944de736cf8522738d40..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_review_v1/source_frame_mapping.json
+++ /dev/null
@@ -1,34 +0,0 @@
-[
-  {
-    "serial": "12540311",
-    "selected_window_local_index": 0,
-    "converted_frame": 208,
-    "native_container_frame": 209,
-    "capture_timestamp_ns": 1790047997824416092,
-    "initial_grid_offset_ms": 15.329769
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-  {
-    "serial": "12933256",
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-    "converted_frame": 208,
-    "native_container_frame": 209,
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-    "initial_grid_offset_ms": -15.714045
-  },
-  {
-    "serial": "17736741",
-    "selected_window_local_index": 0,
-    "converted_frame": 208,
-    "native_container_frame": 209,
-    "capture_timestamp_ns": 1790047997839745861,
-    "initial_grid_offset_ms": 0.0
-  },
-  {
-    "serial": "23007103",
-    "selected_window_local_index": 0,
-    "converted_frame": 208,
-    "native_container_frame": 209,
-    "capture_timestamp_ns": 1790047997829389080,
-    "initial_grid_offset_ms": 10.356781
-  }
-]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube.log
deleted file mode 100644
index dcdebaee8505b46bdf9d3094604222f7ac85f391..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube.log
+++ /dev/null
@@ -1 +0,0 @@
-tube: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1/steps/tube.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_argv.json
deleted file mode 100644
index 4e8f3d3d499ec6ec38367f971925d671ed13a097..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "scripts/real_rgbd_appearance_spline_prior.py",
-    "tube",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_result.json
deleted file mode 100644
index c4897a1a54ef7540bd8433a2c71973b06b6a1f81..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/prior_tube_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 5.032006531997467
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks.log
deleted file mode 100644
index 9b2ba99e9afaec31cbd0bb3d6efa9aa404625621..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks.log
+++ /dev/null
@@ -1,8 +0,0 @@
-12540311: tracked 5000 queries
-12933256: tracked 5000 queries
-17736741: tracked 5000 queries
-23007103: tracked 5000 queries
-12540311: members {'object': 755, 'hand_A': 2511, 'hand_B': 1687}
-12933256: members {'object': 364, 'hand_A': 2008, 'hand_B': 2509}
-17736741: members {'object': 731, 'hand_A': 2459, 'hand_B': 1698}
-23007103: members {'object': 816, 'hand_A': 1417, 'hand_B': 2638}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json
deleted file mode 100644
index 135af16ce265c3858242c2eeade93596c2136b40..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json
+++ /dev/null
@@ -1,141 +0,0 @@
-{
-  "inputs": {
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-    "annotations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/annotations",
-    "masks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/masks"
-  },
-  "mask_signoff": {
-    "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff.json",
-    "signoff_sha256": "274f28d6a56ffe772735a2b10f55f1b6eeee0b9ce326188ae2439a57de00172e",
-    "reviewed_by": "owner",
-    "decision": "prior for 225908 and mask for 233248 look good and I approve. I still need to go through the rest of the full review index",
-    "date": "2026-10-28T12:48:08Z",
-    "labelling_as_accepted": "object is bike chain; hand_A is physical right bracelet hand and bare forearm excluding bracelet/sleeve; hand_B is physical left hand and bare forearm excluding sleeve; occluder is whole person including clothes, hands and bracelet"
-  },
-  "tracker": {
-    "tracker": "CoTracker3 online (CoTrackerOnlinePredictor, v2=False)",
-    "source": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/co-tracker",
-    "commit": "82e02e8029753ad4ef13cf06be7f4fc5facdda4d",
-    "checkpoint": "/mnt/data0/magna/.cache/torch/hub/checkpoints/scaled_online.pth",
-    "checkpoint_sha256": "205d34789f19699d64b22cf93f9b697f15f28d4025240e31532e504109837218",
-    "window_len": 16,
-    "step": 8,
-    "model_size_hw": [
-      384,
-      512
-    ],
-    "iters": 6,
-    "visibility_rule": "sigmoid(vis) * sigmoid(conf) > 0.6",
-    "resize": "bilinear align_corners=True native -> model; query/track scale (size_model - 1) / (size_native - 1)",
-    "crop": null,
-    "support_grid": false,
-    "device": "cuda",
-    "torch": "2.11.0+cu128"
-  },
-  "views": [
-    {
-      "serial": "12540311",
-      "seed": 20260923,
-      "queries": 5000,
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-      "frame0_status": {
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-        "member": 4953,
-        "no_instance_mask_at_frame0": 10
-      },
-      "frame0_members": {
-        "object": 755,
-        "hand_A": 2511,
-        "hand_B": 1687
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    },
-    {
-      "serial": "12933256",
-      "seed": 20260924,
-      "queries": 5000,
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-      "frame0_status": {
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-        "member": 4881,
-        "no_instance_mask_at_frame0": 3
-      },
-      "frame0_members": {
-        "object": 364,
-        "hand_A": 2008,
-        "hand_B": 2509
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    },
-    {
-      "serial": "17736741",
-      "seed": 20260925,
-      "queries": 5000,
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-      "frame0_status": {
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-      "frame0_members": {
-        "object": 731,
-        "hand_A": 2459,
-        "hand_B": 1698
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
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-      "serial": "23007103",
-      "seed": 20260926,
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-      "frame0_status": {
-        "invalid_depth_at_frame0": 117,
-        "member": 4871,
-        "no_instance_mask_at_frame0": 12
-      },
-      "frame0_members": {
-        "object": 816,
-        "hand_A": 1417,
-        "hand_B": 2638
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks_argv.json
deleted file mode 100644
index 49d58db8f6f5059bf8ed6d77a67d120a376ad510..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks_argv.json
+++ /dev/null
@@ -1,23 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "track",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-  "--annotations",
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-  "/mnt/data0/magna/.cache/torch/hub/checkpoints/scaled_online.pth",
-  "--seed",
-  "20260923",
-  "--device",
-  "cuda",
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-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/query_tracks"
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--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/query_tracks_result.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/review_v1_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/review_v1_argv.json
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+++ /dev/null
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-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "outputs/c6a_recovery/agent_drafts/review_accepted_233248.py"
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/review_v1_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/review_v1_result.json
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-        "12540311": {
-          "object": 277
-        },
-        "12933256": {
-          "object": 114
-        },
-        "17736741": {
-          "object": 248
-        },
-        "23007103": {
-          "object": 293
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-      },
-      "selected": {
-        "12540311": {
-          "object": 200
-        },
-        "12933256": {
-          "object": 116
-        },
-        "17736741": {
-          "object": 203
-        },
-        "23007103": {
-          "object": 188
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-      },
-      "representatives": 707,
-      "visible_per_sample_min_median_max": [
-        430,
-        634,
-        707
-      ],
-      "motion_valid_per_transition_min_median_max": [
-        409,
-        607,
-        678
-      ],
-      "captured_denominators": {
-        "D_V = sum V[1]": 666,
-        "D_M = sum M[0]": 623
-      },
-      "admitted_motion_valid_per_transition_min_median_max": [
-        1011,
-        1490,
-        1628
-      ]
-    },
-    "hands": {
-      "candidates": {
-        "12540311": {
-          "hand_A": 2511,
-          "hand_B": 1693
-        },
-        "12933256": {
-          "hand_A": 2014,
-          "hand_B": 2563
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-        "17736741": {
-          "hand_A": 2480,
-          "hand_B": 1734
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-        "23007103": {
-          "hand_A": 1435,
-          "hand_B": 2664
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-      },
-      "not_visible_all_frames": {
-        "12540311": {
-          "hand_A": 212,
-          "hand_B": 274
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-        "12933256": {
-          "hand_A": 353,
-          "hand_B": 401
-        },
-        "17736741": {
-          "hand_A": 385,
-          "hand_B": 406
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-        "23007103": {
-          "hand_A": 269,
-          "hand_B": 721
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-      },
-      "motion_filter_rejected": {
-        "12540311": {
-          "hand_A": 967,
-          "hand_B": 941
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-        "12933256": {
-          "hand_A": 483,
-          "hand_B": 919
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-        "17736741": {
-          "hand_A": 806,
-          "hand_B": 818
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-        "23007103": {
-          "hand_A": 718,
-          "hand_B": 1068
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-      },
-      "beyond_controller_gate": {
-        "12540311": {
-          "hand_A": 1332,
-          "hand_B": 471
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-        "12933256": {
-          "hand_A": 1178,
-          "hand_B": 1243
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-        "17736741": {
-          "hand_A": 1275,
-          "hand_B": 446
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-        "23007103": {
-          "hand_A": 329,
-          "hand_B": 796
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-      "not_fps_selected": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 5
-        },
-        "12933256": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 11,
-          "hand_B": 58
-        },
-        "23007103": {
-          "hand_A": 108,
-          "hand_B": 71
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-      },
-      "selected": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 2
-        },
-        "12933256": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 3,
-          "hand_B": 6
-        },
-        "23007103": {
-          "hand_A": 11,
-          "hand_B": 8
-        }
-      }
-    },
-    "controllers": {
-      "selected": 30,
-      "per_hand": {
-        "hand_A": 14,
-        "hand_B": 16
-      },
-      "per_view_hand": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 2
-        },
-        "12933256": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 3,
-          "hand_B": 6
-        },
-        "23007103": {
-          "hand_A": 11,
-          "hand_B": 8
-        }
-      },
-      "failure": null
-    },
-    "missing_controller_gate": {
-      "passed": true,
-      "controls_per_hand": {
-        "hand_A": 14,
-        "hand_B": 16
-      }
-    },
-    "grid": {
-      "rate_hz": 30,
-      "period_ns": "1000000000/30",
-      "origin_ns": 1790047997839745861,
-      "sample_count_F": 541,
-      "transition_count_K": 540,
-      "last_sample_ns": "1790048015839745861/1",
-      "common_support_ns": [
-        1790047997839745861,
-        1790048015848578448
-      ],
-      "annotation_half_open_ns": [
-        1790047997824416092,
-        1790048015853651816
-      ],
-      "unsampled_leading_ms_vs_annotation": 15.329768999999999,
-      "unsampled_trailing_ms_vs_annotation": 13.905954999999999,
-      "unsampled_trailing_ms_vs_common_support": 8.832587
-    },
-    "controller_pool": {
-      "controller_gate_m": 0.04,
-      "participating_hands": [
-        "hand_A",
-        "hand_B"
-      ],
-      "survivors": {
-        "12540311": {
-          "hand_A": 1332,
-          "hand_B": 478
-        },
-        "12933256": {
-          "hand_A": 1178,
-          "hand_B": 1243
-        },
-        "17736741": {
-          "hand_A": 1289,
-          "hand_B": 510
-        },
-        "23007103": {
-          "hand_A": 448,
-          "hand_B": 875
-        }
-      },
-      "pool": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 7
-        },
-        "12933256": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 14,
-          "hand_B": 64
-        },
-        "23007103": {
-          "hand_A": 119,
-          "hand_B": 79
-        }
-      },
-      "survivor_distance_to_belt_mm_p5_p50_p95": {
-        "hand_A": [
-          53.6,
-          118.8,
-          222.6
-        ],
-        "hand_B": [
-          40.6,
-          102.2,
-          197.3
-        ]
-      },
-      "selected_distance_to_belt_mm_max": 39.913148030664544
-    },
-    "derived_reasons": {
-      "0": "valid",
-      "1": "exact raw sample not valid",
-      "2": "left raw bracket sample not valid",
-      "3": "right raw bracket sample not valid",
-      "4": "both raw bracket samples not valid",
-      "5": "target outside the view's recorded times (no extrapolation)"
-    },
-    "candidate_samples_by_reason": {
-      "object": {
-        "valid": 842727,
-        "left raw bracket sample not valid": 16088,
-        "right raw bracket sample not valid": 16252,
-        "both raw bracket samples not valid": 103602
-      },
-      "hand": {
-        "valid": 8750830,
-        "left raw bracket sample not valid": 40824,
-        "right raw bracket sample not valid": 41675,
-        "both raw bracket samples not valid": 414525
-      }
-    }
-  },
-  "initialization": {
-    "nodes": 707,
-    "controls": 30,
-    "total_source_mass_units": 707.0,
-    "clock": {
-      "period_s": "1/30",
-      "num_substeps": 667,
-      "substep_dt_s": 4.9975012493753125e-05,
-      "consumed_substep_dt_f32": 4.997501309844665e-05,
-      "consumed_interval_minus_period_s": 4.0333058374623455e-10,
-      "transitions": 540,
-      "consumed_total_minus_period_total_s": 2.1779851522296667e-07,
-      "source_literal_period_s_not_used": 0.033350000000000005
-    },
-    "source_settings": {
-      "spring_y": 30000.0,
-      "object_radius_m": 0.02,
-      "object_max_neighbours": 30,
-      "controller_radius_m": 0.04,
-      "controller_max_neighbours": 50,
-      "ground_restitution": 0.5,
-      "ground_friction": 0.3,
-      "object_restitution": 0.7,
-      "object_friction": 0.3,
-      "collision_distance_m": 0.02,
-      "drag_damping": 3.0,
-      "dashpot_damping": 100.0
-    },
-    "gravity_mps2": [
-      0.0,
-      0.0,
-      -9.8
-    ],
-    "ground_height_m": 0.0,
-    "physics_T_world": [
-      [
-        1.0,
-        0.0,
-        0.0,
-        0.0
-      ],
-      [
-        0.0,
-        1.0,
-        0.0,
-        0.0
-      ],
-      [
-        0.0,
-        0.0,
-        1.0,
-        0.0
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-      [
-        0.0,
-        0.0,
-        0.0,
-        1.0
-      ]
-    ],
-    "staging": {
-      "max_abs_object_staging_shift_m": 7.444535599088198e-09,
-      "max_abs_controller_staging_shift_m": 1.4827595151700734e-08,
-      "object_nodes": 707,
-      "populations": {
-        "N": 707,
-        "S": 707,
-        "A": 707,
-        "added_surface": 0,
-        "interior": 0
-      },
-      "max_abs_added_surface_staging_shift_m": 0.0,
-      "max_abs_interior_staging_shift_m": 0.0,
-      "object_nodes_coincident_after_staging": 0
-    },
-    "source_center_graph": {
-      "object_springs": 10772,
-      "controller_springs": 724,
-      "object_rest_min_max_m": [
-        0.000310589064611122,
-        0.019994795322418213
-      ],
-      "controller_rest_min_max_m": [
-        0.010204235091805458,
-        0.03995547443628311
-      ],
-      "isolated_object_nodes": 0,
-      "attached_object_nodes": 148,
-      "controls_without_attachment": 0,
-      "attachments_by_hand": {
-        "hand_A": 371,
-        "hand_B": 353
-      }
-    },
-    "source_center_model": {
-      "directory": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/fitting/source_center_model",
-      "purpose": "pre-fit inspection",
-      "device": "cpu"
-    }
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands.log
deleted file mode 100644
index bf832911c772925b57cac1ee5fb6098584518424..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_argv.json
deleted file mode 100644
index 6ed1708a63ff4e0ad26fea14b9fb3e39a55b2db3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_argv.json
+++ /dev/null
@@ -1,31 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "signoff",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/masks",
-  "--reviewed-by",
-  "owner",
-  "--decision",
-  "prior for 225908 and mask for 233248 look good and I approve. I still need to go through the rest of the full review index",
-  "--labelling-as-accepted",
-  "object is bike chain; hand_A is physical right bracelet hand and bare forearm excluding bracelet/sleeve; hand_B is physical left hand and bare forearm excluding sleeve; occluder is whole person including clothes, hands and bracelet",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/MASK_REVIEW_c6a_owner_window_sparse_v2.md",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/owner_mask_acceptance_c6a_owner_window_sparse_v2.json",
-  "--code",
-  "0ef64585faa290ae64cb64deba32bf4a5a1e1dc0",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff.json",
-  "--instance",
-  "object",
-  "--instance",
-  "hand_A",
-  "--instance",
-  "hand_B"
-]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_result.json
deleted file mode 100644
index 4a5d797fd7f7696759a8024fb969354c4b23f5a2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_object_hands_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_including_lock_wait": 9.046311890997458
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder.log
deleted file mode 100644
index e58944166459169bcb2d0a3ccca286fdd4e31e9c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff_occluder.json
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_argv.json
deleted file mode 100644
index 4399b94396e14877a929465cb66e2ebc8cdd789f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_argv.json
+++ /dev/null
@@ -1,27 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "signoff",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/masks",
-  "--reviewed-by",
-  "owner",
-  "--decision",
-  "prior for 225908 and mask for 233248 look good and I approve. I still need to go through the rest of the full review index",
-  "--labelling-as-accepted",
-  "object is bike chain; hand_A is physical right bracelet hand and bare forearm excluding bracelet/sleeve; hand_B is physical left hand and bare forearm excluding sleeve; occluder is whole person including clothes, hands and bracelet",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/MASK_REVIEW_c6a_owner_window_sparse_v2.md",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/owner_mask_acceptance_c6a_owner_window_sparse_v2.json",
-  "--code",
-  "0ef64585faa290ae64cb64deba32bf4a5a1e1dc0",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/review_signoff_occluder.json",
-  "--instance",
-  "occluder"
-]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_result.json
deleted file mode 100644
index 37f80834e5de6c3fcdef6da2e75904cbd258b9ea..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/signoff_occluder_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_including_lock_wait": 3.4753869339983794
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md
deleted file mode 100644
index a4c673322f20f35339f1141f9b7017fcc33574cf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,35 +0,0 @@
-# 233248: stronger-reprojection static appearance review
-
-**The new static appearance is reviewed; owner appearance acceptance is recorded below.** This run uses the exact newly accepted stronger-reprojection prior: 18 controls, curvature weight 5e-9, reprojection weight 8 and 4.75 mm tube radius. Earlier appearance products and decisions remain historical.
-
-[Rotation video](appearance_train_v1/review/novel_view.mp4) · [Loss curves](appearance_train_v1/review/loss_curves.png) · [Accepted prior review](../prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md)
-
-- [Camera 12540311: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_0_sheet.png): The two exposed arcs and link texture align with the observation. The upper hand-hidden closure remains open; the lower grasp contains a dark diffuse patch and speckled protrusions below the arc.
-- [Camera 12933256: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_1_sheet.png): The exposed upper arc retains visible link texture. The forearm-hidden lower arc is broad, mottled and fringed, with visible open ends in the object-only render.
-- [Camera 17736741: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_2_sheet.png): Both exposed arcs align, while the upper grip gap remains open. The lower grip includes a dark inferred patch and a short speckled downward spur.
-- [Camera 23007103: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_3_sheet.png): The main arcs align; the top closure has a small irregular break and the right grasp has a narrow gap with dark diffuse material and a local protrusion.
-
-All eight sampled orbit frames retain the two main arcs without gross collapse or frame clipping. A hand-hidden end gap remains conspicuous from most angles, and the opposite grasp retains local dark swelling and fringe. The apparent loop closure is incomplete in appearance despite the closed geometric prior.
-
-The plotted L1 and total training losses decline and settle, with sharp transients near iterations 3000, 6000 and 9000. No sustained late divergence is visible.
-
-The reference loop used **10,000 iterations / 9,999 optimizer updates**, masks, hybrid initialization and isotropic scales, with depth/normal/anisotropic/segmentation weights 0.001/0/0/1. Final spherical-harmonic degree is 3. Runtime overrides are recorded in the linked run record.
-
-- Initial hybrid seeds: **122,092**. Final saved Gaussians: **123,817**; reference strict-opacity >0.1 export: **92,292**. These are appearance primitives, not mechanical particles or mass.
-- Mean same-training-view source total: **0.006307293 → 0.000240057**. This is the masked, occlusion-aware source objective on the four training views, not held-out reconstruction or physical accuracy.
-- All 12 saved view NPZs, three PLY payloads and three complete scalar histories are finite; scalar steps 1–10000 are present. Saved and filtered populations agree at both 7000 and 10000. Check, train and review stages returned zero, and the accepted prior identity matches.
-- Actual viewing covered all four final sheets, the loss curves and orbit frames 0/25/50/75/100/125/150/175 of 200. This is sampled viewing, not continuous visual playback.
-
-The black background is an object-only diagnostic. Full-scene raw residual panels are not the masked training objective. Rendering and low training loss do not determine unobserved geometry, table contact or dynamic accuracy.
-
-The retained reference review represents both hands with 30 measured controls (14 hand_A and 16 hand_B) after the inclusive initial 4 cm gate. It sampled 13 times per camera. Camera 12933256 retains only 55–248 admitted object points during foreground-arm occlusion; initial lifted scatter and multiview depth differences remain. Missing observations were not filled. This static appearance does not validate later trajectories, hidden shape or table contact.
-
-[Retained reference review](../review_v1/REVIEW.md) · [Saved findings and inspection coverage](appearance_train_v1/review/agent_findings.json) · [Saved summary](appearance_train_v1/review/summary.json) · [Run record](appearance_train_v1/run_record.json)
-
-Appearance acceptance is separate from the accepted prior and any future physical fitting. This review changed only its new packet, findings and private scratch; no science, mechanics, source, global status or owner record was changed.
-
-## Owner decision
-
-The owner accepted this exact new static appearance: I approve of all chain priors/appearances
-
-The initial review above predates this decision. Its limitations remain; physical fitting is separate. [Recorded acceptance](owner_appearance_acceptance.json).
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log
deleted file mode 100644
index c93a0d9f0c7fa148c5952e5e7d29b89161088d00..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log
+++ /dev/null
@@ -1,57 +0,0 @@
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:16:03]
-Init points from pcd... [28/10 19:16:04]
-Init points from mesh... [28/10 19:16:04]
-Loading Training Cameras [28/10 19:16:04]
-Loading Test Cameras [28/10 19:16:04]
-Number of points at initialisation :  122092 [28/10 19:16:04]
-Sampling 100000 points from mesh [28/10 19:16:04]
-{
-  "cameras": [
-    {
-      "id": 0,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 9097,
-      "occlusion_px": 328308,
-      "valid_depth_px": 1925442,
-      "boundary_px": 3021,
-      "projection_max_error_px": 2.324412154569293e-05
-    },
-    {
-      "id": 1,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 3588,
-      "occlusion_px": 347384,
-      "valid_depth_px": 2027899,
-      "boundary_px": 1307,
-      "projection_max_error_px": 2.0672598774492376e-06
-    },
-    {
-      "id": 2,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 9984,
-      "occlusion_px": 385574,
-      "valid_depth_px": 1973114,
-      "boundary_px": 3594,
-      "projection_max_error_px": 7.733793223199456e-06
-    },
-    {
-      "id": 3,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 6650,
-      "occlusion_px": 201282,
-      "valid_depth_px": 1905754,
-      "boundary_px": 2508,
-      "projection_max_error_px": 3.768487712545901e-06
-    }
-  ],
-  "hybrid": {
-    "vertex_color_branch": true,
-    "mesh": 103680,
-    "observed": 18412,
-    "total": 122092
-  }
-} [28/10 19:16:04]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json
deleted file mode 100644
index 58ea88c29e4e04fad6cb9c3e5e734fe1c5bb4b4c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/bin/python",
-    "scripts/real_rgbd_appearance_train.py",
-    "check",
-    "--prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--accepted-prior-manifest-sha256",
-    "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_check_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json
deleted file mode 100644
index 48e3925c6fe856282c12fa00675901c3e0cef040..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.7967678300046828,
-  "completed_utc": "2026-10-28T23:16:04.991618+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json
deleted file mode 100644
index 0d126c3dd3254783d274059eca9d86c6e8816b05..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "case_id": "233248",
-  "phase": "appearance",
-  "failed_stage": null,
-  "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2",
-  "completed_utc": "2026-10-28T23:18:32.520461+00:00"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log
deleted file mode 100644
index 93d1bb6ff1347e743963925ee477712513a3b005..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log
+++ /dev/null
@@ -1,32 +0,0 @@
-/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1965: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
-If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
-  warnings.warn(
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:18:20]
-Init points from pcd... [28/10 19:18:20]
-Init points from mesh... [28/10 19:18:20]
-Loading Training Cameras [28/10 19:18:21]
-Loading Test Cameras [28/10 19:18:21]
-Number of points at initialisation :  122092 [28/10 19:18:21]
-Sampling 100000 points from mesh [28/10 19:18:21]
-Loading trained model at iteration 7000 [28/10 19:18:23] [28/10 19:18:23]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:18:23] [28/10 19:18:23]
-Init points from pcd... [28/10 19:18:23] [28/10 19:18:23]
-Init points from mesh... [28/10 19:18:23] [28/10 19:18:23]
-Loading Training Cameras [28/10 19:18:23] [28/10 19:18:23]
-Loading Test Cameras [28/10 19:18:23] [28/10 19:18:23]
-Sampling 100000 points from mesh [28/10 19:18:23] [28/10 19:18:23]
-Loading trained model at iteration 10000 [28/10 19:18:25] [28/10 19:18:25] [28/10 19:18:25]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:18:25] [28/10 19:18:25] [28/10 19:18:25]
-Init points from pcd... [28/10 19:18:25] [28/10 19:18:25] [28/10 19:18:25]
-Init points from mesh... [28/10 19:18:25] [28/10 19:18:25] [28/10 19:18:25]
-Loading Training Cameras [28/10 19:18:25] [28/10 19:18:25] [28/10 19:18:25]
-Loading Test Cameras [28/10 19:18:26] [28/10 19:18:26] [28/10 19:18:26]
-Sampling 100000 points from mesh [28/10 19:18:26] [28/10 19:18:26] [28/10 19:18:26]
-{
-  "snapshots": [
-    "0",
-    "7000",
-    "10000"
-  ],
-  "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/review"
-} [28/10 19:18:32] [28/10 19:18:32] [28/10 19:18:32]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json
deleted file mode 100644
index aab8d9408c0812857db4a96378b2f10422c3f94b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json
+++ /dev/null
@@ -1,15 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/bin/python",
-    "scripts/real_rgbd_appearance_review.py",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json
deleted file mode 100644
index e2cd7b05d30582c0049ad84a02e261649fb75f13..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 13.357733455995913,
-  "completed_utc": "2026-10-28T23:18:32.520291+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log
deleted file mode 100644
index d04d54d14dc1c382d47364e5e79e0800aaf6c4cf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log
+++ /dev/null
@@ -1,19 +0,0 @@
-Optimizing /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model
-Output folder: /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model [28/10 19:16:06]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:16:06]
-Init points from pcd... [28/10 19:16:06]
-Init points from mesh... [28/10 19:16:06]
-Loading Training Cameras [28/10 19:16:07]
-Loading Test Cameras [28/10 19:16:07]
-Number of points at initialisation :  122092 [28/10 19:16:07]
-Sampling 100000 points from mesh [28/10 19:16:07]
-
Training progress:   0%|          | 0/10000 [00:00<?, ?it/s]/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1965: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
-If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
-  warnings.warn(
-
Training progress:   0%|          | 0/10000 [00:00<?, ?it/s, Loss=0.00498, L1 Loss=0.00040, Depth Loss=0.00256, Normal Loss=0.00000, Seg Loss=0.00143, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<09:01, 18.44it/s, Loss=0.00498, L1 Loss=0.00040, Depth Loss=0.00256, Normal Loss=0.00000, Seg Loss=0.00143, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<09:01, 18.44it/s, Loss=0.00457, L1 Loss=0.00073, Depth Loss=0.00887, Normal Loss=0.00000, Seg Loss=0.00348, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<05:01, 33.07it/s, Loss=0.00457, L1 Loss=0.00073, Depth Loss=0.00887, Normal Loss=0.00000, Seg Loss=0.00348, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<05:01, 33.07it/s, Loss=0.00387, L1 Loss=0.00044, Depth Loss=0.00350, Normal Loss=0.00000, Seg Loss=0.00176, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:43, 44.70it/s, Loss=0.00387, L1 Loss=0.00044, Depth Loss=0.00350, Normal Loss=0.00000, Seg Loss=0.00176, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:43, 44.70it/s, Loss=0.00327, L1 Loss=0.00051, Depth Loss=0.00627, Normal Loss=0.00000, Seg Loss=0.00224, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:00<03:05, 53.60it/s, Loss=0.00327, L1 Loss=0.00051, Depth Loss=0.00627, Normal Loss=0.00000, Seg Loss=0.00224, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:01<03:05, 53.60it/s, Loss=0.00226, L1 Loss=0.00026, Depth Loss=0.00124, Normal Loss=0.00000, Seg Loss=0.00073, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:44, 60.31it/s, Loss=0.00226, L1 Loss=0.00026, Depth Loss=0.00124, Normal Loss=0.00000, Seg Loss=0.00073, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:44, 60.31it/s, Loss=0.00236, L1 Loss=0.00044, Depth Loss=0.00412, Normal Loss=0.00000, Seg Loss=0.00153, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:32, 65.28it/s, Loss=0.00236, L1 Loss=0.00044, Depth Loss=0.00412, Normal Loss=0.00000, Seg Loss=0.00153, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:32, 65.28it/s, Loss=0.00242, L1 Loss=0.00040, Depth Loss=0.00362, Normal Loss=0.00000, Seg Loss=0.00132, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:24, 68.77it/s, Loss=0.00242, L1 Loss=0.00040, Depth Loss=0.00362, Normal Loss=0.00000, Seg Loss=0.00132, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:24, 68.77it/s, Loss=0.00193, L1 Loss=0.00029, Depth Loss=0.00193, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:19, 71.26it/s, Loss=0.00193, L1 Loss=0.00029, Depth Loss=0.00193, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:19, 71.26it/s, Loss=0.00181, L1 Loss=0.00028, Depth Loss=0.00176, Normal Loss=0.00000, Seg Loss=0.00087, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:15, 73.07it/s, Loss=0.00181, L1 Loss=0.00028, Depth Loss=0.00176, Normal Loss=0.00000, Seg Loss=0.00087, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:15, 73.07it/s, Loss=0.00145, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:13, 74.36it/s, Loss=0.00145, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:13, 74.36it/s, Loss=0.00176, L1 Loss=0.00030, Depth Loss=0.00283, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:11, 75.33it/s, Loss=0.00176, L1 Loss=0.00030, Depth Loss=0.00283, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:11, 75.33it/s, Loss=0.00152, L1 Loss=0.00030, Depth Loss=0.00270, Normal Loss=0.00000, Seg Loss=0.00092, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:09, 76.01it/s, Loss=0.00152, L1 Loss=0.00030, Depth Loss=0.00270, Normal Loss=0.00000, Seg Loss=0.00092, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:02<02:09, 76.01it/s, Loss=0.00137, L1 Loss=0.00031, Depth Loss=0.00217, Normal Loss=0.00000, Seg Loss=0.00083, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<02:09, 76.37it/s, Loss=0.00137, L1 Loss=0.00031, Depth Loss=0.00217, Normal Loss=0.00000, Seg Loss=0.00083, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<02:09, 76.37it/s, Loss=0.00131, L1 Loss=0.00023, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00061, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<02:08, 76.43it/s, Loss=0.00131, L1 Loss=0.00023, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00061, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<02:08, 76.43it/s, Loss=0.00121, L1 Loss=0.00030, Depth Loss=0.00198, Normal Loss=0.00000, Seg Loss=0.00077, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<02:08, 76.66it/s, Loss=0.00121, L1 Loss=0.00030, Depth Loss=0.00198, Normal Loss=0.00000, Seg Loss=0.00077, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<02:08, 76.66it/s, Loss=0.00127, L1 Loss=0.00030, Depth Loss=0.00190, Normal Loss=0.00000, Seg Loss=0.00075, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<02:07, 77.10it/s, Loss=0.00127, L1 Loss=0.00030, Depth Loss=0.00190, Normal Loss=0.00000, Seg Loss=0.00075, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<02:07, 77.10it/s, Loss=0.00107, L1 Loss=0.00018, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<02:07, 77.13it/s, Loss=0.00107, L1 Loss=0.00018, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<02:07, 77.13it/s, Loss=0.00124, L1 Loss=0.00029, Depth Loss=0.00177, Normal Loss=0.00000, Seg Loss=0.00070, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<02:07, 77.20it/s, Loss=0.00124, L1 Loss=0.00029, Depth Loss=0.00177, Normal Loss=0.00000, Seg Loss=0.00070, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<02:07, 77.20it/s, Loss=0.00120, L1 Loss=0.00028, Depth Loss=0.00169, Normal Loss=0.00000, Seg Loss=0.00065, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<02:06, 77.48it/s, Loss=0.00120, L1 Loss=0.00028, Depth Loss=0.00169, Normal Loss=0.00000, Seg Loss=0.00065, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:03<02:06, 77.48it/s, Loss=0.00105, L1 Loss=0.00021, Depth Loss=0.00096, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:03<02:07, 77.15it/s, Loss=0.00105, L1 Loss=0.00021, Depth Loss=0.00096, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:03<02:07, 77.15it/s, Loss=0.00102, L1 Loss=0.00024, Depth Loss=0.00181, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<02:06, 77.34it/s, Loss=0.00102, L1 Loss=0.00024, Depth Loss=0.00181, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<02:06, 77.34it/s, Loss=0.00104, L1 Loss=0.00026, Depth Loss=0.00150, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<02:06, 77.42it/s, Loss=0.00104, L1 Loss=0.00026, Depth Loss=0.00150, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<02:06, 77.42it/s, Loss=0.00086, L1 Loss=0.00016, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<02:05, 77.58it/s, Loss=0.00086, L1 Loss=0.00016, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<02:05, 77.58it/s, Loss=0.00090, L1 Loss=0.00020, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<02:05, 77.53it/s, Loss=0.00090, L1 Loss=0.00020, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<02:05, 77.53it/s, Loss=0.00082, L1 Loss=0.00016, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<02:05, 77.51it/s, Loss=0.00082, L1 Loss=0.00016, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<02:05, 77.51it/s, Loss=0.00103, L1 Loss=0.00025, Depth Loss=0.00169, Normal Loss=0.00000, Seg Loss=0.00062, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<02:05, 77.71it/s, Loss=0.00103, L1 Loss=0.00025, Depth Loss=0.00169, Normal Loss=0.00000, Seg Loss=0.00062, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<02:05, 77.71it/s, Loss=0.00086, L1 Loss=0.00025, Depth Loss=0.00132, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<02:05, 77.82it/s, Loss=0.00086, L1 Loss=0.00025, Depth Loss=0.00132, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:04<02:05, 77.82it/s, Loss=0.00085, L1 Loss=0.00017, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:04<02:05, 77.63it/s, Loss=0.00085, L1 Loss=0.00017, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:04<02:05, 77.63it/s, Loss=0.00077, L1 Loss=0.00016, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:04<02:05, 77.40it/s, Loss=0.00077, L1 Loss=0.00016, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:04<02:05, 77.40it/s, Loss=0.00085, L1 Loss=0.00017, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<02:04, 77.63it/s, Loss=0.00085, L1 Loss=0.00017, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<02:04, 77.63it/s, Loss=0.00083, L1 Loss=0.00022, Depth Loss=0.00144, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<02:04, 77.57it/s, Loss=0.00083, L1 Loss=0.00022, Depth Loss=0.00144, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<02:04, 77.57it/s, Loss=0.00084, L1 Loss=0.00026, Depth Loss=0.00123, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<02:04, 77.65it/s, Loss=0.00084, L1 Loss=0.00026, Depth Loss=0.00123, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<02:04, 77.65it/s, Loss=0.00079, L1 Loss=0.00015, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<02:04, 77.73it/s, Loss=0.00079, L1 Loss=0.00015, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<02:04, 77.73it/s, Loss=0.00079, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<02:04, 77.71it/s, Loss=0.00079, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<02:04, 77.71it/s, Loss=0.00084, L1 Loss=0.00024, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<02:03, 77.99it/s, Loss=0.00084, L1 Loss=0.00024, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:05<02:03, 77.99it/s, Loss=0.00081, L1 Loss=0.00023, Depth Loss=0.00142, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:05<02:03, 77.92it/s, Loss=0.00081, L1 Loss=0.00023, Depth Loss=0.00142, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:05<02:03, 77.92it/s, Loss=0.00071, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:05<02:03, 78.07it/s, Loss=0.00071, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:05<02:03, 78.07it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<02:03, 78.14it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<02:03, 78.14it/s, Loss=0.00079, L1 Loss=0.00020, Depth Loss=0.00129, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<02:02, 78.24it/s, Loss=0.00079, L1 Loss=0.00020, Depth Loss=0.00129, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<02:02, 78.24it/s, Loss=0.00070, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<02:02, 78.16it/s, Loss=0.00070, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<02:02, 78.16it/s, Loss=0.00072, L1 Loss=0.00020, Depth Loss=0.00126, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<02:02, 78.07it/s, Loss=0.00072, L1 Loss=0.00020, Depth Loss=0.00126, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<02:02, 78.07it/s, Loss=0.00068, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<02:03, 77.74it/s, Loss=0.00068, L1 Loss=0.00015, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<02:03, 77.74it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:05<02:02, 77.88it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:06<02:02, 77.88it/s, Loss=0.00072, L1 Loss=0.00017, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:06<02:02, 77.73it/s, Loss=0.00072, L1 Loss=0.00017, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:06<02:02, 77.73it/s, Loss=0.00070, L1 Loss=0.00019, Depth Loss=0.00124, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:06<02:02, 77.76it/s, Loss=0.00070, L1 Loss=0.00019, Depth Loss=0.00124, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:06<02:02, 77.76it/s, Loss=0.00066, L1 Loss=0.00017, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:06<02:02, 78.01it/s, Loss=0.00066, L1 Loss=0.00017, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:06<02:02, 78.01it/s, Loss=0.00063, L1 Loss=0.00014, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<02:02, 78.06it/s, Loss=0.00063, L1 Loss=0.00014, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<02:02, 78.06it/s, Loss=0.00071, L1 Loss=0.00020, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<02:02, 78.01it/s, Loss=0.00071, L1 Loss=0.00020, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<02:02, 78.01it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<02:01, 77.99it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<02:01, 77.99it/s, Loss=0.00068, L1 Loss=0.00022, Depth Loss=0.00102, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<02:02, 77.77it/s, Loss=0.00068, L1 Loss=0.00022, Depth Loss=0.00102, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<02:02, 77.77it/s, Loss=0.00068, L1 Loss=0.00020, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:06<02:01, 78.01it/s, Loss=0.00068, L1 Loss=0.00020, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:07<02:01, 78.01it/s, Loss=0.00067, L1 Loss=0.00021, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:07<02:02, 77.63it/s, Loss=0.00067, L1 Loss=0.00021, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:07<02:02, 77.63it/s, Loss=0.00067, L1 Loss=0.00020, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:07<02:02, 77.58it/s, Loss=0.00067, L1 Loss=0.00020, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:07<02:02, 77.58it/s, Loss=0.00073, L1 Loss=0.00020, Depth Loss=0.00119, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:07<02:01, 77.66it/s, Loss=0.00073, L1 Loss=0.00020, Depth Loss=0.00119, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:07<02:01, 77.66it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<02:01, 77.80it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<02:01, 77.80it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<02:01, 77.96it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<02:01, 77.96it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<02:01, 77.93it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<02:01, 77.93it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<02:00, 78.11it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:08<02:00, 78.11it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:08<02:00, 78.10it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:08<02:00, 78.10it/s, Loss=0.00061, L1 Loss=0.00018, Depth Loss=0.00112, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:08<02:00, 77.99it/s, Loss=0.00061, L1 Loss=0.00018, Depth Loss=0.00112, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:08<02:00, 77.99it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:08<02:07, 73.81it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:08<02:07, 73.81it/s, Loss=0.00063, L1 Loss=0.00019, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:08<02:05, 74.89it/s, Loss=0.00063, L1 Loss=0.00019, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:08<02:05, 74.89it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<02:03, 75.67it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<02:03, 75.67it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<02:02, 76.51it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<02:02, 76.51it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<02:01, 76.80it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<02:01, 76.80it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00109, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:08<02:01, 76.94it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00109, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:09<02:01, 76.94it/s, Loss=0.00064, L1 Loss=0.00018, Depth Loss=0.00106, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:09<02:00, 77.23it/s, Loss=0.00064, L1 Loss=0.00018, Depth Loss=0.00106, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:09<02:00, 77.23it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:09<02:00, 77.45it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:09<02:00, 77.45it/s, Loss=0.00061, L1 Loss=0.00019, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:09<01:59, 77.65it/s, Loss=0.00061, L1 Loss=0.00019, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:09<01:59, 77.65it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:09<01:59, 77.69it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:09<01:59, 77.69it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00105, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:09<02:03, 75.21it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00105, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:09<02:03, 75.21it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<02:01, 76.15it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<02:01, 76.15it/s, Loss=0.00059, L1 Loss=0.00017, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<02:00, 76.93it/s, Loss=0.00059, L1 Loss=0.00017, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<02:00, 76.93it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:09<01:59, 77.25it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:10<01:59, 77.25it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:10<01:59, 77.44it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:10<01:59, 77.44it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:10<01:59, 77.64it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:10<01:59, 77.64it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00103, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:10<01:58, 77.87it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00103, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:10<01:58, 77.87it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:10<01:58, 77.83it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:10<01:58, 77.83it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:10<01:58, 78.01it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:10<01:58, 78.01it/s, Loss=0.00056, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:57, 78.08it/s, Loss=0.00056, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:57, 78.08it/s, Loss=0.00058, L1 Loss=0.00019, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<02:01, 75.62it/s, Loss=0.00058, L1 Loss=0.00019, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:11<02:01, 75.62it/s, Loss=0.00056, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:11<02:00, 76.33it/s, Loss=0.00056, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:11<02:00, 76.33it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:11<01:59, 76.83it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:11<01:59, 76.83it/s, Loss=0.00070, L1 Loss=0.00022, Depth Loss=0.00106, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:11<01:58, 77.46it/s, Loss=0.00070, L1 Loss=0.00022, Depth Loss=0.00106, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:11<01:58, 77.46it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:11<01:57, 77.63it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:11<01:57, 77.63it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:11<01:57, 77.78it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:11<01:57, 77.78it/s, Loss=0.00052, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:11<01:57, 77.96it/s, Loss=0.00052, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:11<01:57, 77.96it/s, Loss=0.00062, L1 Loss=0.00017, Depth Loss=0.00099, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:11<01:56, 78.05it/s, Loss=0.00062, L1 Loss=0.00017, Depth Loss=0.00099, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:11<01:56, 78.05it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:11<01:56, 77.91it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:12<01:56, 77.91it/s, Loss=0.00060, L1 Loss=0.00020, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:12<01:56, 78.02it/s, Loss=0.00060, L1 Loss=0.00020, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:12<01:56, 78.02it/s, Loss=0.00061, L1 Loss=0.00020, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:12<02:00, 75.56it/s, Loss=0.00061, L1 Loss=0.00020, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:12<02:00, 75.56it/s, Loss=0.00060, L1 Loss=0.00018, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:12<01:58, 76.45it/s, Loss=0.00060, L1 Loss=0.00018, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:12<01:58, 76.45it/s, Loss=0.00056, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:12<01:57, 77.05it/s, Loss=0.00056, L1 Loss=0.00013, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:12<01:57, 77.05it/s, Loss=0.00057, L1 Loss=0.00016, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:12<01:56, 77.47it/s, Loss=0.00057, L1 Loss=0.00016, Depth Loss=0.00097, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:12<01:56, 77.47it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:12<01:56, 77.67it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:12<01:56, 77.67it/s, Loss=0.00053, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:12<01:56, 77.74it/s, Loss=0.00053, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:12<01:56, 77.74it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:12<01:56, 77.72it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:13<01:56, 77.72it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:13<01:55, 77.84it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:13<01:55, 77.84it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:13<01:55, 77.90it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:13<01:55, 77.90it/s, Loss=0.00057, L1 Loss=0.00018, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:13<01:55, 77.97it/s, Loss=0.00057, L1 Loss=0.00018, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:13<01:55, 77.97it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:13<01:58, 75.57it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:13<01:58, 75.57it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:13<01:57, 76.54it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:13<01:57, 76.54it/s, Loss=0.00056, L1 Loss=0.00017, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:13<01:56, 77.07it/s, Loss=0.00056, L1 Loss=0.00017, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:13<01:56, 77.07it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:13<01:55, 77.59it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:13<01:55, 77.59it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00095, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:13<01:55, 77.80it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00095, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:14<01:55, 77.80it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:14<01:54, 77.97it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:14<01:54, 77.97it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:14<01:54, 77.79it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:14<01:54, 77.79it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:14<01:54, 77.75it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:14<01:54, 77.75it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:14<01:54, 77.77it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:14<01:54, 77.77it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:14<01:54, 77.89it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:14<01:54, 77.89it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:14<01:58, 74.89it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:14<01:58, 74.89it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:14<01:57, 75.80it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:15<01:57, 75.80it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:15<01:55, 76.51it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:15<01:55, 76.51it/s, Loss=0.00052, L1 Loss=0.00015, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:15<01:55, 76.97it/s, Loss=0.00052, L1 Loss=0.00015, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:15<01:55, 76.97it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:15<01:54, 77.48it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:15<01:54, 77.48it/s, Loss=0.00050, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:15<01:53, 77.80it/s, Loss=0.00050, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:15<01:53, 77.80it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:15<01:53, 77.87it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:15<01:53, 77.87it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:15<01:52, 78.07it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:15<01:52, 78.07it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:15<01:52, 77.97it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:15<01:52, 77.97it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:15<01:52, 78.14it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:16<01:52, 78.14it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:16<01:56, 75.73it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:16<01:56, 75.73it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:16<01:54, 76.62it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:16<01:54, 76.62it/s, Loss=0.00048, L1 Loss=0.00017, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:16<01:53, 76.97it/s, Loss=0.00048, L1 Loss=0.00017, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:16<01:53, 76.97it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:16<01:53, 77.37it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:16<01:53, 77.37it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:16<01:53, 77.23it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:16<01:53, 77.23it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:16<01:52, 77.65it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:16<01:52, 77.65it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:16<01:52, 77.79it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:16<01:52, 77.79it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:16<01:52, 77.67it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:17<01:52, 77.67it/s, Loss=0.00042, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:17<01:52, 77.40it/s, Loss=0.00042, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:17<01:52, 77.40it/s, Loss=0.00049, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:17<01:52, 77.51it/s, Loss=0.00049, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:17<01:52, 77.51it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:17<01:55, 75.24it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:17<01:55, 75.24it/s, Loss=0.00046, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:17<01:54, 75.81it/s, Loss=0.00046, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:17<01:54, 75.81it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:17<01:53, 76.37it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:17<01:53, 76.37it/s, Loss=0.00058, L1 Loss=0.00018, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:17<01:52, 76.98it/s, Loss=0.00058, L1 Loss=0.00018, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:17<01:52, 76.98it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:17<01:52, 77.19it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:18<01:52, 77.19it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:18<01:51, 77.43it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:18<01:51, 77.43it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:18<01:50, 77.79it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:18<01:50, 77.79it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:18<01:50, 77.95it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:18<01:50, 77.95it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:18<01:50, 78.09it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:18<01:50, 78.09it/s, Loss=0.00055, L1 Loss=0.00019, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:18<01:50, 78.08it/s, Loss=0.00055, L1 Loss=0.00019, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:18<01:50, 78.08it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:18<01:53, 75.71it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:18<01:53, 75.71it/s, Loss=0.00050, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:18<01:51, 76.64it/s, Loss=0.00050, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:18<01:51, 76.64it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:18<01:51, 77.20it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:19<01:51, 77.20it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:19<01:50, 77.52it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:19<01:50, 77.52it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:19<01:50, 77.62it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:19<01:50, 77.62it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:19<01:49, 77.80it/s, Loss=0.00044, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:19<01:49, 77.80it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:19<01:49, 77.96it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:19<01:49, 77.96it/s, Loss=0.00051, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:19<01:49, 77.83it/s, Loss=0.00051, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:19<01:49, 77.83it/s, Loss=0.00045, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:19<01:49, 78.01it/s, Loss=0.00045, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:19<01:49, 78.01it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:19<01:48, 78.15it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:19<01:48, 78.15it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:19<01:52, 75.77it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:20<01:52, 75.77it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:20<01:50, 76.48it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:20<01:50, 76.48it/s, Loss=0.00045, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:20<01:49, 77.01it/s, Loss=0.00045, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:20<01:49, 77.01it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:20<01:49, 77.50it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:20<01:49, 77.50it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:20<01:48, 77.59it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:20<01:48, 77.59it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:20<01:48, 77.72it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:20<01:48, 77.72it/s, Loss=0.00041, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:20<01:48, 77.94it/s, Loss=0.00041, L1 Loss=0.00011, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:20<01:48, 77.94it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:20<01:47, 78.13it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:20<01:47, 78.13it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:20<01:47, 78.06it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:21<01:47, 78.06it/s, Loss=0.00045, L1 Loss=0.00013, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:21<01:47, 78.15it/s, Loss=0.00045, L1 Loss=0.00013, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:21<01:47, 78.15it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:21<01:50, 75.62it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:21<01:50, 75.62it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:21<01:49, 76.31it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:21<01:49, 76.31it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:21<01:49, 76.69it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:21<01:49, 76.69it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:21<01:48, 77.34it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:21<01:48, 77.34it/s, Loss=0.00042, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:21<01:47, 77.66it/s, Loss=0.00042, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:21<01:47, 77.66it/s, Loss=0.00043, L1 Loss=0.00012, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:21<01:47, 77.88it/s, Loss=0.00043, L1 Loss=0.00012, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:22<01:47, 77.88it/s, Loss=0.00044, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:22<01:46, 78.08it/s, Loss=0.00044, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:22<01:46, 78.08it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:22<01:46, 77.89it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:22<01:46, 77.89it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:22<01:46, 77.87it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:22<01:46, 77.87it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:22<01:46, 77.89it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:22<01:46, 77.89it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:22<01:49, 75.56it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:22<01:49, 75.56it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:22<01:48, 76.32it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:22<01:48, 76.32it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:22<01:47, 76.71it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:22<01:47, 76.71it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:22<01:47, 77.11it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:23<01:47, 77.11it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:23<01:46, 77.16it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:23<01:46, 77.16it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:23<01:46, 77.49it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:23<01:46, 77.49it/s, Loss=0.00038, L1 Loss=0.00009, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:23<01:46, 77.58it/s, Loss=0.00038, L1 Loss=0.00009, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:23<01:46, 77.58it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:23<01:45, 77.92it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:23<01:45, 77.92it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:23<01:45, 78.08it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:23<01:45, 78.08it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:23<01:44, 78.15it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:23<01:44, 78.15it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:23<01:48, 75.71it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:23<01:48, 75.71it/s, Loss=0.00042, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:23<01:46, 76.47it/s, Loss=0.00042, L1 Loss=0.00010, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:24<01:46, 76.47it/s, Loss=0.00042, L1 Loss=0.00012, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:24<01:45, 77.09it/s, Loss=0.00042, L1 Loss=0.00012, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:24<01:45, 77.09it/s, Loss=0.00047, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:24<01:45, 77.46it/s, Loss=0.00047, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:24<01:45, 77.46it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:24<01:45, 77.60it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:24<01:45, 77.60it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:24<01:44, 77.99it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:24<01:44, 77.99it/s, Loss=0.00044, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:24<01:44, 78.17it/s, Loss=0.00044, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:24<01:44, 78.17it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:24<01:43, 78.33it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:24<01:43, 78.33it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:24<01:43, 78.37it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:24<01:43, 78.37it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:24<01:43, 78.44it/s, Loss=0.00043, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:25<01:43, 78.44it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:25<01:46, 75.75it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:25<01:46, 75.75it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:25<01:45, 76.65it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:25<01:45, 76.65it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:25<01:44, 77.03it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:25<01:44, 77.03it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:25<01:44, 77.30it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:25<01:44, 77.30it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:25<01:43, 77.67it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:25<01:43, 77.67it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:25<01:43, 77.70it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:25<01:43, 77.70it/s, Loss=0.00042, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:25<01:43, 77.83it/s, Loss=0.00042, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:26<01:43, 77.83it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:26<01:42, 78.08it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:26<01:42, 78.08it/s, Loss=0.00042, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:26<01:42, 78.02it/s, Loss=0.00042, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:26<01:42, 78.02it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:26<01:42, 78.12it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:26<01:42, 78.12it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:26<01:45, 75.46it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:26<01:45, 75.46it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:26<01:45, 75.98it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:26<01:45, 75.98it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:26<01:44, 76.53it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:26<01:44, 76.53it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:26<01:43, 76.72it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:26<01:43, 76.72it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:26<01:42, 77.26it/s, Loss=0.00045, L1 Loss=0.00010, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:27<01:42, 77.26it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:27<01:42, 77.54it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:27<01:42, 77.54it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:27<01:42, 77.73it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:27<01:42, 77.73it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:27<01:41, 77.73it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:27<01:41, 77.73it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:27<01:41, 77.77it/s, Loss=0.00048, L1 Loss=0.00014, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:27<01:41, 77.77it/s, Loss=0.00042, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:27<01:41, 77.73it/s, Loss=0.00042, L1 Loss=0.00014, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:27<01:41, 77.73it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:27<01:45, 75.12it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:27<01:45, 75.12it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:27<01:43, 75.89it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:27<01:43, 75.89it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:27<01:42, 76.74it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:28<01:42, 76.74it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:28<01:42, 76.97it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:28<01:42, 76.97it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:28<01:41, 77.26it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:28<01:41, 77.26it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:28<01:41, 77.40it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:28<01:41, 77.40it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:28<01:40, 77.62it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:28<01:40, 77.62it/s, Loss=0.00038, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:28<01:40, 77.73it/s, Loss=0.00038, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:28<01:40, 77.73it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:28<01:40, 77.68it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:28<01:40, 77.68it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:28<01:40, 77.97it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:29<01:40, 77.97it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:29<01:43, 75.56it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:29<01:43, 75.56it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:29<01:41, 76.34it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:29<01:41, 76.34it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:29<01:41, 76.88it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:29<01:41, 76.88it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:29<01:40, 77.49it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:29<01:40, 77.49it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:29<01:39, 77.83it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:29<01:39, 77.83it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:29<01:39, 77.89it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:29<01:39, 77.89it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:29<01:39, 77.84it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:29<01:39, 77.84it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:29<01:38, 78.01it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:30<01:38, 78.01it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:30<01:38, 78.09it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:30<01:38, 78.09it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:30<01:38, 78.22it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:30<01:38, 78.22it/s, Loss=0.00038, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:30<01:41, 75.81it/s, Loss=0.00038, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:30<01:41, 75.81it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:30<01:40, 76.69it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:30<01:40, 76.69it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:30<01:39, 77.04it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:30<01:39, 77.04it/s, Loss=0.00038, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:30<01:38, 77.39it/s, Loss=0.00038, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:30<01:38, 77.39it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:30<01:38, 77.56it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:30<01:38, 77.56it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:30<01:38, 77.86it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:31<01:38, 77.86it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:31<01:37, 78.12it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:31<01:37, 78.12it/s, Loss=0.00036, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:31<01:37, 78.28it/s, Loss=0.00036, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:31<01:37, 78.28it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:31<01:37, 78.37it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:31<01:37, 78.37it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:31<01:37, 78.35it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:31<01:37, 78.35it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:31<01:40, 75.63it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:31<01:40, 75.63it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:31<01:39, 76.50it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:31<01:39, 76.50it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:31<01:38, 76.98it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:31<01:38, 76.98it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:31<01:37, 77.50it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:32<01:37, 77.50it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:32<01:37, 77.64it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:32<01:37, 77.64it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:32<01:37, 77.64it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:32<01:37, 77.64it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:32<01:36, 77.88it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:32<01:36, 77.88it/s, Loss=0.00035, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:32<01:36, 78.08it/s, Loss=0.00035, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:32<01:36, 78.08it/s, Loss=0.00033, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:32<01:36, 77.95it/s, Loss=0.00033, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:32<01:36, 77.95it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:32<01:36, 77.89it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:32<01:36, 77.89it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:32<01:39, 75.41it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:33<01:39, 75.41it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:33<01:37, 76.36it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:33<01:37, 76.36it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:33<01:37, 76.95it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:33<01:37, 76.95it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:33<01:36, 77.34it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:33<01:36, 77.34it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:33<01:36, 77.37it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:33<01:36, 77.37it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:33<01:35, 77.67it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:33<01:35, 77.67it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:33<01:35, 77.71it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:33<01:35, 77.71it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:33<01:35, 77.89it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:33<01:35, 77.89it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:33<01:34, 78.06it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:34<01:34, 78.06it/s, Loss=0.00035, L1 Loss=0.00009, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:34<01:34, 78.17it/s, Loss=0.00035, L1 Loss=0.00009, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:34<01:34, 78.17it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:34<01:37, 75.44it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:34<01:37, 75.44it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:34<01:36, 76.26it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:34<01:36, 76.26it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:34<01:35, 76.81it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:34<01:35, 76.81it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:34<01:34, 77.48it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:34<01:34, 77.48it/s, Loss=0.00043, L1 Loss=0.00014, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:34<01:34, 77.92it/s, Loss=0.00043, L1 Loss=0.00014, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:34<01:34, 77.92it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:34<01:33, 78.14it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:34<01:33, 78.14it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:34<01:33, 78.09it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:35<01:33, 78.09it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:35<01:33, 78.40it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:35<01:33, 78.40it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:35<01:32, 78.61it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:35<01:32, 78.61it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:35<01:32, 78.60it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:35<01:32, 78.60it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:35<01:35, 75.98it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:35<01:35, 75.98it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:35<01:35, 76.61it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:35<01:35, 76.61it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:35<01:34, 76.94it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:35<01:34, 76.94it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:35<01:33, 77.48it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:35<01:33, 77.48it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:35<01:33, 77.83it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:36<01:33, 77.83it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:36<01:32, 77.91it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:36<01:32, 77.91it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:36<01:32, 77.99it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:36<01:32, 77.99it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:36<01:32, 78.34it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:36<01:32, 78.34it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:36<01:32, 78.18it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:36<01:32, 78.18it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:36<01:31, 78.30it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:36<01:31, 78.30it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:36<01:35, 75.56it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:36<01:35, 75.56it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:36<01:33, 76.47it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:37<01:33, 76.47it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:37<01:33, 76.95it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:37<01:33, 76.95it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:37<01:32, 77.14it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:37<01:32, 77.14it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:37<01:32, 77.47it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:37<01:32, 77.47it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:37<01:31, 77.61it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:37<01:31, 77.61it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:37<01:31, 77.95it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:37<01:31, 77.95it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:37<01:31, 78.02it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:37<01:31, 78.02it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:37<01:31, 77.76it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:37<01:31, 77.76it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:37<01:31, 77.73it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:38<01:31, 77.73it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:38<01:34, 75.26it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:38<01:34, 75.26it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:38<01:33, 75.92it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:38<01:33, 75.92it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:38<01:32, 76.45it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:38<01:32, 76.45it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:38<01:31, 77.05it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:38<01:31, 77.05it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:38<01:31, 77.34it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:38<01:31, 77.34it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:38<01:30, 77.38it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:38<01:30, 77.38it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:38<01:30, 77.65it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:38<01:30, 77.65it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:38<01:30, 77.87it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:39<01:30, 77.87it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:39<01:29, 78.07it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:39<01:29, 78.07it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:39<01:29, 78.05it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:39<01:29, 78.05it/s, Loss=0.00299, L1 Loss=0.00043, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00188, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:39<01:32, 75.44it/s, Loss=0.00299, L1 Loss=0.00043, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00188, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:39<01:32, 75.44it/s, Loss=0.00167, L1 Loss=0.00022, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00073, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:39<01:31, 76.15it/s, Loss=0.00167, L1 Loss=0.00022, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00073, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:39<01:31, 76.15it/s, Loss=0.00094, L1 Loss=0.00022, Depth Loss=0.00132, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:39<01:31, 76.55it/s, Loss=0.00094, L1 Loss=0.00022, Depth Loss=0.00132, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:39<01:31, 76.55it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:39<01:30, 76.77it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:39<01:30, 76.77it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:39<01:30, 76.83it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:39<01:30, 76.83it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:39<01:29, 77.14it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:40<01:29, 77.14it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:40<01:29, 77.26it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:40<01:29, 77.26it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:40<01:29, 77.25it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:40<01:29, 77.25it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:40<01:29, 77.48it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:40<01:29, 77.48it/s, Loss=0.00037, L1 Loss=0.00010, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:40<01:29, 77.39it/s, Loss=0.00037, L1 Loss=0.00010, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:40<01:29, 77.39it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:40<01:31, 75.23it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:40<01:31, 75.23it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:40<01:30, 75.97it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:40<01:30, 75.97it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:40<01:29, 76.51it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:41<01:29, 76.51it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:41<01:29, 76.73it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:41<01:29, 76.73it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:41<01:28, 77.22it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:41<01:28, 77.22it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:41<01:28, 77.35it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:41<01:28, 77.35it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:41<01:28, 77.53it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:41<01:28, 77.53it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:41<01:27, 77.74it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:41<01:27, 77.74it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:41<01:27, 77.81it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:41<01:27, 77.81it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:41<01:27, 77.89it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:41<01:27, 77.89it/s, Loss=0.00035, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:41<01:30, 75.28it/s, Loss=0.00035, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:42<01:30, 75.28it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:42<01:29, 76.04it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:42<01:29, 76.04it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:42<01:28, 76.75it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:42<01:28, 76.75it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:42<01:27, 77.07it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:42<01:27, 77.07it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:42<01:27, 77.26it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:42<01:27, 77.26it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:42<01:26, 77.48it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:42<01:26, 77.48it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:42<01:26, 77.72it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:42<01:26, 77.72it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:42<01:26, 77.59it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:42<01:26, 77.59it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:42<01:26, 77.62it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:43<01:26, 77.62it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:43<01:26, 77.59it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:43<01:26, 77.59it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:43<01:29, 75.07it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:43<01:29, 75.07it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:43<01:28, 75.85it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:43<01:28, 75.85it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:43<01:27, 76.17it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:43<01:27, 76.17it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:43<01:27, 76.40it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:43<01:27, 76.40it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:43<01:26, 76.85it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:43<01:26, 76.85it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:43<01:26, 76.72it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:44<01:26, 76.72it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:44<01:26, 76.80it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:44<01:26, 76.80it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:44<01:25, 77.18it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:44<01:25, 77.18it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:44<01:25, 77.39it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:44<01:25, 77.39it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:44<01:25, 77.63it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:44<01:25, 77.63it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:44<01:27, 75.31it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:44<01:27, 75.31it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:44<01:26, 76.03it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:44<01:26, 76.03it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:44<01:25, 76.47it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:44<01:25, 76.47it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:44<01:25, 76.96it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:45<01:25, 76.96it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:45<01:25, 76.99it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:45<01:25, 76.99it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:45<01:24, 77.25it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:45<01:24, 77.25it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:45<01:24, 77.34it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:45<01:24, 77.34it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:45<01:24, 77.47it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:45<01:24, 77.47it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:45<01:23, 77.64it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:45<01:23, 77.64it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:45<01:23, 77.52it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:45<01:23, 77.52it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:45<01:26, 75.09it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:45<01:26, 75.09it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:45<01:25, 76.10it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:46<01:25, 76.10it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:46<01:24, 76.60it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:46<01:24, 76.60it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:46<01:24, 76.90it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:46<01:24, 76.90it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:46<01:23, 77.12it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:46<01:23, 77.12it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:46<01:23, 77.45it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:46<01:23, 77.45it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:46<01:23, 77.28it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:46<01:23, 77.28it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:46<01:23, 77.34it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:46<01:23, 77.34it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:46<01:22, 77.86it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:47<01:22, 77.86it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:47<01:22, 77.75it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:47<01:22, 77.75it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:47<01:24, 75.35it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:47<01:24, 75.35it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:47<01:23, 76.14it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:47<01:23, 76.14it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:47<01:23, 76.64it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:47<01:23, 76.64it/s, Loss=0.00039, L1 Loss=0.00013, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:47<01:22, 77.19it/s, Loss=0.00039, L1 Loss=0.00013, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:47<01:22, 77.19it/s, Loss=0.00035, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:47<01:21, 77.74it/s, Loss=0.00035, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:47<01:21, 77.74it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:47<01:21, 77.96it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:47<01:21, 77.96it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:47<01:21, 77.97it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:48<01:21, 77.97it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:48<01:20, 78.07it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:48<01:20, 78.07it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:48<01:20, 78.27it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:48<01:20, 78.27it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:48<01:20, 78.32it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:48<01:20, 78.32it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:48<01:23, 75.58it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:48<01:23, 75.58it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:48<01:22, 76.22it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:48<01:22, 76.22it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:48<01:21, 76.74it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:48<01:21, 76.74it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:48<01:21, 77.28it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:48<01:21, 77.28it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:48<01:20, 77.70it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:49<01:20, 77.70it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:49<01:19, 78.12it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:49<01:19, 78.12it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:49<01:19, 78.32it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:49<01:19, 78.32it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:49<01:19, 78.09it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:49<01:19, 78.09it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:49<01:19, 78.37it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:49<01:19, 78.37it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:49<01:19, 78.41it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:49<01:19, 78.41it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:49<01:21, 75.91it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:49<01:21, 75.91it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:49<01:20, 76.42it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:49<01:20, 76.42it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:49<01:20, 76.98it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:50<01:20, 76.98it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:50<01:19, 77.14it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:50<01:19, 77.14it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:50<01:19, 77.10it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:50<01:19, 77.10it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:50<01:19, 77.50it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:50<01:19, 77.50it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:50<01:18, 77.79it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:50<01:18, 77.79it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:50<01:18, 78.09it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:50<01:18, 78.09it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:50<01:18, 78.17it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:50<01:18, 78.17it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:50<01:18, 78.10it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:51<01:18, 78.10it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:51<01:20, 75.48it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:51<01:20, 75.48it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:51<01:19, 76.45it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:51<01:19, 76.45it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:51<01:18, 77.05it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:51<01:18, 77.05it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:51<01:18, 77.47it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:51<01:18, 77.47it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:51<01:17, 78.05it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:51<01:17, 78.05it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:51<01:17, 78.02it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:51<01:17, 78.02it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:51<01:17, 78.21it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:51<01:17, 78.21it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:51<01:17, 78.09it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:52<01:17, 78.09it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:52<01:16, 78.21it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:52<01:16, 78.21it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:52<01:16, 78.14it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:52<01:16, 78.14it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:52<01:19, 75.26it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:52<01:19, 75.26it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:52<01:18, 76.17it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:52<01:18, 76.17it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:52<01:17, 76.67it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:52<01:17, 76.67it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:52<01:17, 77.22it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:52<01:17, 77.22it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:52<01:16, 77.66it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:52<01:16, 77.66it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:52<01:16, 77.83it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:53<01:16, 77.83it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:53<01:16, 77.88it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:53<01:16, 77.88it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:53<01:15, 78.06it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:53<01:15, 78.06it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:53<01:15, 78.12it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:53<01:15, 78.12it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:53<01:15, 78.08it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:53<01:15, 78.08it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:53<01:17, 75.64it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:53<01:17, 75.64it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:53<01:16, 76.56it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:53<01:16, 76.56it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:53<01:16, 76.94it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:53<01:16, 76.94it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:53<01:15, 77.41it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:54<01:15, 77.41it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:54<01:15, 77.61it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:54<01:15, 77.61it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:54<01:15, 77.84it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:54<01:15, 77.84it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:54<01:14, 77.98it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:54<01:14, 77.98it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:54<01:14, 78.10it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:54<01:14, 78.10it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:54<01:14, 78.17it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:54<01:14, 78.17it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:54<01:14, 78.37it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:54<01:14, 78.37it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:54<01:16, 75.96it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:55<01:16, 75.96it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:55<01:15, 76.56it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:55<01:15, 76.56it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:55<01:14, 77.11it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:55<01:14, 77.11it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:55<01:14, 77.56it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:55<01:14, 77.56it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:55<01:13, 78.06it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:55<01:13, 78.06it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:55<01:13, 78.16it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:55<01:13, 78.16it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:55<01:12, 78.52it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:55<01:12, 78.52it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:55<01:12, 78.54it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:55<01:12, 78.54it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:55<01:12, 78.53it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:56<01:12, 78.53it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:56<01:12, 78.58it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:56<01:12, 78.58it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:56<01:14, 76.08it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:56<01:14, 76.08it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:56<01:14, 76.47it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:56<01:14, 76.47it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:56<01:13, 77.29it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:56<01:13, 77.29it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:56<01:12, 77.66it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:56<01:12, 77.66it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:56<01:12, 77.97it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:56<01:12, 77.97it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:56<01:12, 77.93it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:56<01:12, 77.93it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:56<01:12, 77.96it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:57<01:12, 77.96it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:57<01:12, 77.93it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:57<01:12, 77.93it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:57<01:12, 77.70it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:57<01:12, 77.70it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:57<01:11, 78.03it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:57<01:11, 78.03it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:57<01:13, 75.72it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:57<01:13, 75.72it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:57<01:12, 76.54it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:57<01:12, 76.54it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:57<01:12, 77.23it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:57<01:12, 77.23it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:57<01:11, 77.29it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:57<01:11, 77.29it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:57<01:11, 77.42it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:58<01:11, 77.42it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:58<01:11, 77.73it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:58<01:11, 77.73it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:58<01:11, 77.86it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:58<01:11, 77.86it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:58<01:10, 77.95it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:58<01:10, 77.95it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:58<01:10, 78.22it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:58<01:10, 78.22it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:58<01:10, 78.16it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:58<01:10, 78.16it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:58<01:12, 75.90it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:58<01:12, 75.90it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:58<01:11, 76.62it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:59<01:11, 76.62it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:59<01:10, 77.32it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:59<01:10, 77.32it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:59<01:10, 77.20it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:59<01:10, 77.20it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:59<01:10, 77.65it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:59<01:10, 77.65it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:59<01:09, 77.88it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:59<01:09, 77.88it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:59<01:09, 77.91it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:59<01:09, 77.91it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [00:59<01:09, 78.19it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [00:59<01:09, 78.19it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:59<01:09, 78.31it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:59<01:09, 78.31it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [00:59<01:08, 78.32it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [01:00<01:08, 78.32it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [01:00<01:10, 76.04it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [01:00<01:10, 76.04it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [01:00<01:10, 76.70it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [01:00<01:10, 76.70it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [01:00<01:09, 77.16it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [01:00<01:09, 77.16it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [01:00<01:09, 77.52it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [01:00<01:09, 77.52it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [01:00<01:08, 77.89it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [01:00<01:08, 77.89it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [01:00<01:08, 78.19it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [01:00<01:08, 78.19it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [01:00<01:08, 78.37it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [01:00<01:08, 78.37it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [01:00<01:07, 78.38it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [01:01<01:07, 78.38it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [01:01<01:07, 78.63it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [01:01<01:07, 78.63it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [01:01<01:07, 78.54it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [01:01<01:07, 78.54it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [01:01<01:09, 75.96it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [01:01<01:09, 75.96it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [01:01<01:08, 76.73it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [01:01<01:08, 76.73it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [01:01<01:08, 77.42it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [01:01<01:08, 77.42it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [01:01<01:07, 77.83it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [01:01<01:07, 77.83it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [01:01<01:07, 78.11it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [01:01<01:07, 78.11it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [01:01<01:06, 78.38it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [01:02<01:06, 78.38it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [01:02<01:06, 78.60it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [01:02<01:06, 78.60it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [01:02<01:06, 78.66it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [01:02<01:06, 78.66it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [01:02<01:06, 78.77it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [01:02<01:06, 78.77it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [01:02<01:06, 78.74it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [01:02<01:06, 78.74it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [01:02<01:08, 76.23it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [01:02<01:08, 76.23it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [01:02<01:07, 77.08it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [01:02<01:07, 77.08it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [01:02<01:06, 77.57it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [01:03<01:06, 77.57it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [01:03<01:06, 77.65it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [01:03<01:06, 77.65it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [01:03<01:06, 77.81it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [01:03<01:06, 77.81it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [01:03<01:05, 77.99it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [01:03<01:05, 77.99it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [01:03<01:05, 78.25it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [01:03<01:05, 78.25it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [01:03<01:05, 78.35it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [01:03<01:05, 78.35it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [01:03<01:05, 78.55it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [01:03<01:05, 78.55it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [01:03<01:04, 78.74it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [01:03<01:04, 78.74it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [01:03<01:06, 76.24it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [01:04<01:06, 76.24it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [01:04<01:06, 76.92it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [01:04<01:06, 76.92it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [01:04<01:05, 77.55it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [01:04<01:05, 77.55it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [01:04<01:04, 77.99it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [01:04<01:04, 77.99it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [01:04<01:04, 78.16it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [01:04<01:04, 78.16it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:04<01:04, 78.21it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:04<01:04, 78.21it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:04<01:04, 78.36it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:04<01:04, 78.36it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:04<01:03, 78.46it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:04<01:03, 78.46it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:04<01:03, 78.36it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:05<01:03, 78.36it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:05<01:03, 78.36it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:05<01:03, 78.36it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:05<01:06, 75.54it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:05<01:06, 75.54it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:05<01:05, 76.56it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:05<01:05, 76.56it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:05<01:04, 77.35it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:05<01:04, 77.35it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:05<01:03, 77.77it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:05<01:03, 77.77it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:05<01:03, 78.08it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:05<01:03, 78.08it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:05<01:02, 78.49it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:05<01:02, 78.49it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:05<01:02, 78.49it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:06<01:02, 78.49it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:06<01:02, 78.66it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:06<01:02, 78.66it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:06<01:02, 78.86it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:06<01:02, 78.86it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:06<01:02, 78.89it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:06<01:02, 78.89it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:06<01:04, 76.28it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:06<01:04, 76.28it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:06<01:03, 77.03it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:06<01:03, 77.03it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:06<01:02, 77.59it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:06<01:02, 77.59it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:06<01:02, 78.01it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:06<01:02, 78.01it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:06<01:01, 78.36it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:07<01:01, 78.36it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:07<01:01, 78.47it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:07<01:01, 78.47it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:07<01:01, 78.75it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:07<01:01, 78.75it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:07<01:01, 78.48it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:07<01:01, 78.48it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:07<01:01, 78.72it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:07<01:01, 78.72it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:07<01:00, 78.84it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:07<01:00, 78.84it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:07<01:02, 76.36it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:07<01:02, 76.36it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:07<01:01, 77.32it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:08<01:01, 77.32it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:08<01:01, 77.74it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:08<01:01, 77.74it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:08<01:01, 77.93it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:08<01:01, 77.93it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:08<01:00, 78.25it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:08<01:00, 78.25it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:08<01:00, 78.59it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:08<01:00, 78.59it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:08<01:00, 78.70it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:08<01:00, 78.70it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:08<00:59, 78.83it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:08<00:59, 78.83it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:08<00:59, 78.86it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:08<00:59, 78.86it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:08<00:59, 78.77it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:09<00:59, 78.77it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:09<01:01, 75.86it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:09<01:01, 75.86it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:09<01:01, 76.72it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:09<01:01, 76.72it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:09<01:00, 77.46it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:09<01:00, 77.46it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:09<00:59, 77.86it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:09<00:59, 77.86it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:09<00:59, 78.23it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:09<00:59, 78.23it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:09<00:59, 78.21it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:09<00:59, 78.21it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:09<00:59, 78.29it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:09<00:59, 78.29it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:09<00:58, 78.35it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:10<00:58, 78.35it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:10<00:58, 78.58it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:10<00:58, 78.58it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:10<00:58, 78.51it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:10<00:58, 78.51it/s, Loss=0.00027, L1 Loss=0.00009, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:10<01:00, 75.82it/s, Loss=0.00027, L1 Loss=0.00009, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:10<01:00, 75.82it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:10<00:59, 76.65it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:10<00:59, 76.65it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:10<00:59, 77.20it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:10<00:59, 77.20it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:10<00:58, 77.63it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:10<00:58, 77.63it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:10<00:58, 78.02it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:10<00:58, 78.02it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:10<00:57, 78.41it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:11<00:57, 78.41it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:11<00:57, 78.63it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:11<00:57, 78.63it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:11<00:57, 78.70it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:11<00:57, 78.70it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:11<00:57, 78.67it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:11<00:57, 78.67it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:11<00:57, 78.64it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:11<00:57, 78.64it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:11<00:59, 75.73it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:11<00:59, 75.73it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:11<00:58, 76.48it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:11<00:58, 76.48it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:11<00:57, 77.13it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:11<00:57, 77.13it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:11<00:57, 77.67it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:12<00:57, 77.67it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:12<00:57, 77.99it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:12<00:57, 77.99it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:12<00:56, 78.27it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:12<00:56, 78.27it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:12<00:56, 78.56it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:12<00:56, 78.56it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:12<00:56, 78.75it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:12<00:56, 78.75it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:12<00:55, 78.89it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:12<00:55, 78.89it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:12<00:55, 78.90it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:12<00:55, 78.90it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:12<00:57, 76.24it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:13<00:57, 76.24it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:13<00:56, 77.01it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:13<00:56, 77.01it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:13<00:56, 77.53it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:13<00:56, 77.53it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:13<00:55, 77.92it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:13<00:55, 77.92it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:13<00:55, 78.22it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:13<00:55, 78.22it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:13<00:55, 78.60it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:13<00:55, 78.60it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:13<00:55, 78.44it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:13<00:55, 78.44it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:13<00:54, 78.70it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:13<00:54, 78.70it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:13<00:54, 78.69it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:14<00:54, 78.69it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:14<00:54, 78.78it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:14<00:54, 78.78it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:14<00:56, 76.21it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:14<00:56, 76.21it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:14<00:55, 77.22it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:14<00:55, 77.22it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:14<00:54, 77.88it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:14<00:54, 77.88it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:14<00:54, 78.42it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:14<00:54, 78.42it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:14<00:53, 78.74it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:14<00:53, 78.74it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:14<00:53, 78.81it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:14<00:53, 78.81it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:14<00:53, 78.69it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:15<00:53, 78.69it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:15<00:53, 78.48it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:15<00:53, 78.48it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:15<00:53, 78.62it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:15<00:53, 78.62it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:15<00:53, 78.86it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:15<00:53, 78.86it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:15<00:54, 76.54it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:15<00:54, 76.54it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:15<00:54, 77.27it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:15<00:54, 77.27it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:15<00:53, 77.73it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:15<00:53, 77.73it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:15<00:53, 78.21it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:15<00:53, 78.21it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:15<00:52, 78.42it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:16<00:52, 78.42it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:16<00:52, 78.49it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:16<00:52, 78.49it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:16<00:52, 78.62it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:16<00:52, 78.62it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:16<00:52, 78.73it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:16<00:52, 78.73it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:16<00:52, 78.73it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:16<00:52, 78.73it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:16<00:52, 78.58it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:16<00:52, 78.58it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:16<00:54, 75.31it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:16<00:54, 75.31it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:16<00:53, 76.30it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:16<00:53, 76.30it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:16<00:52, 76.89it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:17<00:52, 76.89it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:17<00:52, 77.38it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:17<00:52, 77.38it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:17<00:52, 77.71it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:17<00:52, 77.71it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:17<00:51, 78.08it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:17<00:51, 78.08it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:17<00:51, 78.26it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:17<00:51, 78.26it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:17<00:51, 78.51it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:17<00:51, 78.51it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:17<00:51, 78.58it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:17<00:51, 78.58it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:17<00:50, 78.85it/s, Loss=0.00029, L1 Loss=0.00009, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:18<00:50, 78.85it/s, Loss=0.00373, L1 Loss=0.00039, Depth Loss=0.00020, Normal Loss=0.00000, Seg Loss=0.00178, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:18<00:52, 75.82it/s, Loss=0.00373, L1 Loss=0.00039, Depth Loss=0.00020, Normal Loss=0.00000, Seg Loss=0.00178, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:18<00:52, 75.82it/s, Loss=0.00138, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:18<00:52, 76.19it/s, Loss=0.00138, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:18<00:52, 76.19it/s, Loss=0.00066, L1 Loss=0.00011, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:18<00:52, 76.23it/s, Loss=0.00066, L1 Loss=0.00011, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:18<00:52, 76.23it/s, Loss=0.00040, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:18<00:51, 76.40it/s, Loss=0.00040, L1 Loss=0.00008, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:18<00:51, 76.40it/s, Loss=0.00031, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:18<00:51, 76.70it/s, Loss=0.00031, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:18<00:51, 76.70it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:18<00:51, 76.87it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:18<00:51, 76.87it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:18<00:51, 76.91it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:18<00:51, 76.91it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:18<00:51, 76.83it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:19<00:51, 76.83it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:19<00:50, 76.91it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:19<00:50, 76.91it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:19<00:50, 76.72it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:19<00:50, 76.72it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:19<00:52, 74.16it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:19<00:52, 74.16it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:19<00:51, 74.94it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:19<00:51, 74.94it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:19<00:51, 75.22it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:19<00:51, 75.22it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:19<00:50, 75.95it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:19<00:50, 75.95it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:19<00:50, 76.40it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:19<00:50, 76.40it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:19<00:50, 76.55it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:20<00:50, 76.55it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:20<00:49, 76.91it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:20<00:49, 76.91it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:20<00:49, 77.02it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:20<00:49, 77.02it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:20<00:49, 77.23it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:20<00:49, 77.23it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:20<00:49, 77.33it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:20<00:49, 77.33it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:20<00:50, 75.05it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:20<00:50, 75.05it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:20<00:49, 75.87it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:20<00:49, 75.87it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:20<00:49, 76.29it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:21<00:49, 76.29it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:21<00:48, 76.81it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:21<00:48, 76.81it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:21<00:48, 76.71it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:21<00:48, 76.71it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:21<00:48, 77.06it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:21<00:48, 77.06it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:21<00:48, 77.30it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:21<00:48, 77.30it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:21<00:47, 77.62it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:21<00:47, 77.62it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:21<00:47, 77.83it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:21<00:47, 77.83it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:21<00:47, 77.73it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:21<00:47, 77.73it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:21<00:48, 75.44it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:22<00:48, 75.44it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:22<00:48, 76.17it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:22<00:48, 76.17it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:22<00:47, 76.66it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:22<00:47, 76.66it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:22<00:47, 77.03it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:22<00:47, 77.03it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:22<00:47, 77.25it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:22<00:47, 77.25it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:22<00:47, 77.15it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:22<00:47, 77.15it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:22<00:47, 77.15it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:22<00:47, 77.15it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:22<00:46, 77.63it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:22<00:46, 77.63it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:22<00:46, 77.75it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:23<00:46, 77.75it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:23<00:46, 77.51it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:23<00:46, 77.51it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:23<00:47, 74.97it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:23<00:47, 74.97it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:23<00:47, 75.91it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:23<00:47, 75.91it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:23<00:46, 76.55it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:23<00:46, 76.55it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:23<00:46, 76.91it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:23<00:46, 76.91it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:23<00:45, 77.21it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:23<00:45, 77.21it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:23<00:45, 77.32it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:24<00:45, 77.32it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:24<00:45, 77.36it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:24<00:45, 77.36it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:24<00:45, 77.34it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:24<00:45, 77.34it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:24<00:45, 77.33it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:24<00:45, 77.33it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:24<00:45, 77.52it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:24<00:45, 77.52it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:24<00:46, 75.16it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:24<00:46, 75.16it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:24<00:45, 76.00it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:24<00:45, 76.00it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:24<00:45, 76.66it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:24<00:45, 76.66it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:24<00:44, 77.22it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:25<00:44, 77.22it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:25<00:44, 77.24it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:25<00:44, 77.24it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:25<00:44, 77.51it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:25<00:44, 77.51it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:25<00:44, 77.71it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:25<00:44, 77.71it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:25<00:44, 77.68it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:25<00:44, 77.68it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:25<00:43, 77.85it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:25<00:43, 77.85it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:25<00:43, 77.82it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:25<00:43, 77.82it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:25<00:44, 75.42it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:25<00:44, 75.42it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:25<00:44, 76.21it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:26<00:44, 76.21it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:26<00:43, 76.75it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:26<00:43, 76.75it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:26<00:43, 77.20it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:26<00:43, 77.20it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:26<00:43, 77.31it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:26<00:43, 77.31it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:26<00:43, 77.38it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:26<00:43, 77.38it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:26<00:42, 77.68it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:26<00:42, 77.68it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:26<00:42, 77.92it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:26<00:42, 77.92it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:26<00:42, 77.94it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:27<00:42, 77.94it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:27<00:42, 77.92it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:27<00:42, 77.92it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:27<00:43, 75.43it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:27<00:43, 75.43it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:27<00:43, 75.95it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:27<00:43, 75.95it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:27<00:42, 76.63it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:27<00:42, 76.63it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:27<00:42, 77.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:27<00:42, 77.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:27<00:42, 77.34it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:27<00:42, 77.34it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:27<00:41, 77.53it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:27<00:41, 77.53it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:27<00:41, 77.69it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:28<00:41, 77.69it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:28<00:41, 77.92it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:28<00:41, 77.92it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:28<00:41, 78.14it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:28<00:41, 78.14it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:28<00:41, 77.84it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:28<00:41, 77.84it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:28<00:42, 75.22it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:28<00:42, 75.22it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:28<00:41, 75.96it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:28<00:41, 75.96it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:28<00:41, 76.08it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:28<00:41, 76.08it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:28<00:41, 76.64it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:28<00:41, 76.64it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:28<00:40, 77.03it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:29<00:40, 77.03it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:29<00:40, 76.96it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:29<00:40, 76.96it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:29<00:40, 77.13it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:29<00:40, 77.13it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:29<00:40, 77.24it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:29<00:40, 77.24it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:29<00:40, 77.52it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:29<00:40, 77.52it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:29<00:39, 77.74it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:29<00:39, 77.74it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:29<00:41, 75.22it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:29<00:41, 75.22it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:29<00:40, 76.08it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:30<00:40, 76.08it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:30<00:39, 76.75it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:30<00:39, 76.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:30<00:39, 77.12it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:30<00:39, 77.12it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:30<00:39, 77.52it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:30<00:39, 77.52it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:30<00:39, 77.60it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:30<00:39, 77.60it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:30<00:38, 77.70it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:30<00:38, 77.70it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:30<00:38, 77.82it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:30<00:38, 77.82it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:30<00:38, 78.05it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:30<00:38, 78.05it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:30<00:38, 78.14it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:31<00:38, 78.14it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:31<01:10, 42.50it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:31<01:10, 42.50it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:31<01:00, 49.38it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:31<01:00, 49.38it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:31<00:53, 55.57it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:31<00:53, 55.57it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:31<00:48, 60.90it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:31<00:48, 60.90it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:31<00:45, 65.47it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:32<00:45, 65.47it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:32<00:42, 68.95it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:32<00:42, 68.95it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:32<00:40, 71.47it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:32<00:40, 71.47it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:32<00:39, 73.50it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:32<00:39, 73.50it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:32<00:38, 74.91it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:32<00:38, 74.91it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:32<00:38, 75.88it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:32<00:38, 75.88it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:32<00:38, 74.20it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:32<00:38, 74.20it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:32<00:38, 75.53it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:32<00:38, 75.53it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:32<00:37, 76.23it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:33<00:37, 76.23it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:33<00:37, 76.90it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:33<00:37, 76.90it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:33<00:36, 77.31it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:33<00:36, 77.31it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:33<00:36, 77.43it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:33<00:36, 77.43it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:33<00:36, 77.75it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:33<00:36, 77.75it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:33<00:36, 77.92it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:33<00:36, 77.92it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:33<00:36, 77.95it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:33<00:36, 77.95it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:33<00:35, 78.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:33<00:35, 78.29it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:33<00:36, 75.75it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:34<00:36, 75.75it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:34<00:36, 76.43it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:34<00:36, 76.43it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:34<00:35, 76.96it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:34<00:35, 76.96it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:34<00:35, 77.35it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:34<00:35, 77.35it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:34<00:35, 77.71it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:34<00:35, 77.71it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:34<00:35, 78.08it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:34<00:35, 78.08it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:34<00:34, 78.32it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:34<00:34, 78.32it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:34<00:34, 78.30it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:34<00:34, 78.30it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:34<00:34, 78.29it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:35<00:34, 78.29it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:35<00:34, 78.44it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:35<00:34, 78.44it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:35<00:35, 75.66it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:35<00:35, 75.66it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:35<00:34, 76.63it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:35<00:34, 76.63it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:35<00:34, 77.15it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:35<00:34, 77.15it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:35<00:34, 76.86it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:35<00:34, 76.86it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:35<00:34, 77.33it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:35<00:34, 77.33it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:35<00:33, 77.73it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:36<00:33, 77.73it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:36<00:33, 77.75it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:36<00:33, 77.75it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:36<00:33, 77.75it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:36<00:33, 77.75it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:36<00:33, 77.44it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:36<00:33, 77.44it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:36<00:33, 77.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:36<00:33, 77.77it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:36<00:34, 75.29it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:36<00:34, 75.29it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:36<00:33, 76.11it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:36<00:33, 76.11it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:36<00:33, 76.64it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:36<00:33, 76.64it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:36<00:33, 77.10it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:37<00:33, 77.10it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:37<00:32, 77.46it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:37<00:32, 77.46it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:37<00:32, 77.89it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:37<00:32, 77.89it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:37<00:32, 78.21it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:37<00:32, 78.21it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:37<00:32, 78.37it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:37<00:32, 78.37it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:37<00:31, 78.45it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:37<00:31, 78.45it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:37<00:31, 78.32it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:37<00:31, 78.32it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:37<00:32, 75.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:37<00:32, 75.50it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:37<00:32, 76.44it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:38<00:32, 76.44it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:38<00:32, 76.66it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:38<00:32, 76.66it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:38<00:31, 77.09it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:38<00:31, 77.09it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:38<00:31, 77.38it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:38<00:31, 77.38it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:38<00:31, 77.61it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:38<00:31, 77.61it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:38<00:31, 77.78it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:38<00:31, 77.78it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:38<00:31, 78.04it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:38<00:31, 78.04it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:38<00:30, 78.19it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:38<00:30, 78.19it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:38<00:30, 78.25it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:39<00:30, 78.25it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:39<00:31, 75.85it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:39<00:31, 75.85it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:39<00:31, 76.61it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:39<00:31, 76.61it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:39<00:30, 77.12it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:39<00:30, 77.12it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:39<00:30, 77.24it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:39<00:30, 77.24it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:39<00:30, 77.58it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:39<00:30, 77.58it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:39<00:30, 77.68it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:39<00:30, 77.68it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:39<00:29, 77.85it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:40<00:29, 77.85it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:40<00:29, 77.76it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:40<00:29, 77.76it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:40<00:29, 77.70it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:40<00:29, 77.70it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:40<00:29, 77.90it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:40<00:29, 77.90it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:40<00:30, 75.65it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:40<00:30, 75.65it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:40<00:29, 76.40it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:40<00:29, 76.40it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:40<00:29, 76.90it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:40<00:29, 76.90it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:40<00:29, 77.36it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:40<00:29, 77.36it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:40<00:28, 77.73it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:41<00:28, 77.73it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:41<00:28, 77.94it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:41<00:28, 77.94it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:41<00:28, 78.00it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:41<00:28, 78.00it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:41<00:28, 78.20it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:41<00:28, 78.20it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:41<00:28, 78.28it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:41<00:28, 78.28it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:41<00:28, 78.54it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:41<00:28, 78.54it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:41<00:28, 76.11it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:41<00:28, 76.11it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:41<00:28, 76.80it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:41<00:28, 76.80it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:41<00:28, 77.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:42<00:28, 77.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:42<00:27, 77.71it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:42<00:27, 77.71it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:42<00:27, 78.03it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:42<00:27, 78.03it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:42<00:27, 78.18it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:42<00:27, 78.18it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:42<00:27, 78.45it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:42<00:27, 78.45it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:42<00:26, 78.60it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:42<00:26, 78.60it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:42<00:26, 78.60it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:42<00:26, 78.60it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:42<00:26, 78.66it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:42<00:26, 78.66it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:42<00:27, 76.10it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:43<00:27, 76.10it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:43<00:27, 77.02it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:43<00:27, 77.02it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:43<00:26, 77.67it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:43<00:26, 77.67it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:43<00:26, 78.08it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:43<00:26, 78.08it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:43<00:26, 78.52it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:43<00:26, 78.52it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:43<00:25, 78.70it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:43<00:25, 78.70it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:43<00:25, 78.59it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:43<00:25, 78.59it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:43<00:25, 78.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:44<00:25, 78.07it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:44<00:25, 77.94it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:44<00:25, 77.94it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:44<00:25, 76.94it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:44<00:25, 76.94it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:44<00:27, 72.78it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:44<00:27, 72.78it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:44<00:27, 72.97it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:44<00:27, 72.97it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:44<00:26, 74.33it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:44<00:26, 74.33it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:44<00:25, 75.56it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:44<00:25, 75.56it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:44<00:25, 76.58it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:44<00:25, 76.58it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:44<00:25, 77.18it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:45<00:25, 77.18it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:45<00:24, 77.59it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:45<00:24, 77.59it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:45<00:24, 78.16it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:45<00:24, 78.16it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:45<00:24, 78.39it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:45<00:24, 78.39it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:45<00:24, 78.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:45<00:24, 78.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:45<00:24, 75.90it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:45<00:24, 75.90it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:45<00:24, 76.68it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:45<00:24, 76.68it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:45<00:24, 77.27it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:45<00:24, 77.27it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:45<00:23, 77.70it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:46<00:23, 77.70it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:46<00:23, 78.06it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:46<00:23, 78.06it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:46<00:23, 78.29it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:46<00:23, 78.29it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:46<00:23, 78.48it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:46<00:23, 78.48it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:46<00:23, 78.55it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:46<00:23, 78.55it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:46<00:22, 78.72it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:46<00:22, 78.72it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:46<00:22, 78.62it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:46<00:22, 78.62it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:46<00:23, 76.10it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:47<00:23, 76.10it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:47<00:23, 76.73it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:47<00:23, 76.73it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:47<00:22, 77.17it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:47<00:22, 77.17it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:47<00:22, 77.51it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:47<00:22, 77.51it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:47<00:22, 77.93it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:47<00:22, 77.93it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:47<00:22, 78.23it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:47<00:22, 78.23it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:47<00:22, 78.52it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:47<00:22, 78.52it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:47<00:21, 78.46it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:47<00:21, 78.46it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:47<00:21, 78.33it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:48<00:21, 78.33it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:48<00:21, 78.30it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:48<00:21, 78.30it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:48<00:22, 75.82it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:48<00:22, 75.82it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:48<00:21, 76.62it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:48<00:21, 76.62it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:48<00:21, 77.26it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:48<00:21, 77.26it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:48<00:21, 77.61it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:48<00:21, 77.61it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:48<00:21, 77.89it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:48<00:21, 77.89it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:48<00:21, 78.08it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:48<00:21, 78.08it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:48<00:20, 78.21it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:49<00:20, 78.21it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:49<00:20, 78.46it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:49<00:20, 78.46it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:49<00:20, 78.55it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:49<00:20, 78.55it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:49<00:20, 78.63it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:49<00:20, 78.63it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:49<00:20, 76.25it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:49<00:20, 76.25it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:49<00:20, 76.94it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:49<00:20, 76.94it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:49<00:20, 77.39it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:49<00:20, 77.39it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:49<00:20, 77.90it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:49<00:20, 77.90it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:49<00:19, 78.02it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:50<00:19, 78.02it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:50<00:19, 78.21it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:50<00:19, 78.21it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:50<00:19, 78.36it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:50<00:19, 78.36it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:50<00:19, 78.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:50<00:19, 78.26it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:50<00:19, 78.48it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:50<00:19, 78.48it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:50<00:19, 78.62it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:50<00:19, 78.62it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:50<00:19, 76.01it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:50<00:19, 76.01it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:50<00:19, 76.77it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:50<00:19, 76.77it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:50<00:19, 77.36it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:51<00:19, 77.36it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:51<00:18, 77.76it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:51<00:18, 77.76it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:51<00:18, 78.07it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:51<00:18, 78.07it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:51<00:18, 78.08it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:51<00:18, 78.08it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:51<00:18, 78.08it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:51<00:18, 78.08it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:51<00:18, 78.16it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:51<00:18, 78.16it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:51<00:18, 78.21it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:51<00:18, 78.21it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:51<00:17, 78.54it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:52<00:17, 78.54it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:52<00:18, 75.97it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:52<00:18, 75.97it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:52<00:17, 76.86it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:52<00:17, 76.86it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:52<00:17, 77.59it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:52<00:17, 77.59it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:52<00:17, 77.96it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:52<00:17, 77.96it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:52<00:17, 78.25it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:52<00:17, 78.25it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:52<00:17, 78.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:52<00:17, 78.50it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:52<00:16, 78.63it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:52<00:16, 78.63it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:52<00:16, 78.54it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:53<00:16, 78.54it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:53<00:16, 78.35it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:53<00:16, 78.35it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:53<00:16, 78.63it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:53<00:16, 78.63it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:53<00:16, 76.10it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:53<00:16, 76.10it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:53<00:16, 76.96it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:53<00:16, 76.96it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:53<00:16, 77.61it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:53<00:16, 77.61it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:53<00:16, 78.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:53<00:16, 78.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:53<00:15, 78.58it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:53<00:15, 78.58it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:53<00:15, 78.88it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:54<00:15, 78.88it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:54<00:15, 79.03it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:54<00:15, 79.03it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:54<00:15, 79.06it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:54<00:15, 79.06it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:54<00:15, 79.25it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:54<00:15, 79.25it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:54<00:15, 79.31it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:54<00:15, 79.31it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:54<00:15, 76.66it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:54<00:15, 76.66it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:54<00:15, 77.18it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:54<00:15, 77.18it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:54<00:15, 77.80it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:54<00:15, 77.80it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:54<00:14, 78.20it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:55<00:14, 78.20it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:55<00:14, 78.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:55<00:14, 78.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:55<00:14, 78.64it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:55<00:14, 78.64it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:55<00:14, 78.76it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:55<00:14, 78.76it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:55<00:14, 78.99it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:55<00:14, 78.99it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:55<00:14, 78.87it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:55<00:14, 78.87it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:55<00:13, 79.09it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:55<00:13, 79.09it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:55<00:14, 76.39it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:55<00:14, 76.39it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:55<00:14, 77.10it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:56<00:14, 77.10it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:56<00:13, 77.66it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:56<00:13, 77.66it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:56<00:13, 77.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:56<00:13, 77.77it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:56<00:13, 78.27it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:56<00:13, 78.27it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:56<00:13, 78.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:56<00:13, 78.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:56<00:13, 78.69it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:56<00:13, 78.69it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:56<00:12, 78.87it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:56<00:12, 78.87it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:56<00:12, 78.90it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:57<00:12, 78.90it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:57<00:12, 79.00it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:57<00:12, 79.00it/s, Loss=0.00337, L1 Loss=0.00050, Depth Loss=0.00021, Normal Loss=0.00000, Seg Loss=0.00244, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:57<00:13, 75.92it/s, Loss=0.00337, L1 Loss=0.00050, Depth Loss=0.00021, Normal Loss=0.00000, Seg Loss=0.00244, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:57<00:13, 75.92it/s, Loss=0.00115, L1 Loss=0.00018, Depth Loss=0.00102, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:57<00:12, 76.08it/s, Loss=0.00115, L1 Loss=0.00018, Depth Loss=0.00102, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:57<00:12, 76.08it/s, Loss=0.00053, L1 Loss=0.00010, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:57<00:12, 75.97it/s, Loss=0.00053, L1 Loss=0.00010, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:57<00:12, 75.97it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:57<00:12, 76.18it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:57<00:12, 76.18it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:57<00:12, 76.12it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:57<00:12, 76.12it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:57<00:12, 76.31it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:57<00:12, 76.31it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:57<00:12, 76.32it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:58<00:12, 76.32it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:58<00:12, 76.59it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:58<00:12, 76.59it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:58<00:11, 76.70it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:58<00:11, 76.70it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:58<00:11, 76.36it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:58<00:11, 76.36it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:58<00:12, 73.85it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:58<00:12, 73.85it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:58<00:11, 74.67it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:58<00:11, 74.67it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:58<00:11, 75.25it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:58<00:11, 75.25it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:58<00:11, 75.65it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:58<00:11, 75.65it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:58<00:11, 75.98it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:59<00:11, 75.98it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:59<00:11, 76.19it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:59<00:11, 76.19it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:59<00:10, 76.20it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:59<00:10, 76.20it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:59<00:10, 76.45it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:59<00:10, 76.45it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:59<00:10, 76.73it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:59<00:10, 76.73it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:59<00:10, 76.92it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:59<00:10, 76.92it/s, Loss=0.00021, L1 Loss=0.00002, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:59<00:10, 74.24it/s, Loss=0.00021, L1 Loss=0.00002, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:59<00:10, 74.24it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [01:59<00:10, 74.93it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [02:00<00:10, 74.93it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [02:00<00:10, 75.56it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [02:00<00:10, 75.56it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [02:00<00:09, 76.05it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [02:00<00:09, 76.05it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [02:00<00:09, 76.35it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [02:00<00:09, 76.35it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [02:00<00:09, 76.44it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [02:00<00:09, 76.44it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [02:00<00:09, 76.57it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [02:00<00:09, 76.57it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [02:00<00:09, 76.79it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [02:00<00:09, 76.79it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [02:00<00:09, 76.83it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [02:00<00:09, 76.83it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [02:00<00:09, 77.03it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [02:01<00:09, 77.03it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [02:01<00:09, 74.45it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [02:01<00:09, 74.45it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [02:01<00:09, 75.20it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [02:01<00:09, 75.20it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [02:01<00:08, 75.68it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [02:01<00:08, 75.68it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [02:01<00:08, 76.14it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [02:01<00:08, 76.14it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [02:01<00:08, 76.49it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [02:01<00:08, 76.49it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [02:01<00:08, 76.73it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [02:01<00:08, 76.73it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [02:01<00:08, 76.69it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [02:02<00:08, 76.69it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [02:02<00:08, 76.69it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [02:02<00:08, 76.69it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [02:02<00:07, 76.61it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [02:02<00:07, 76.61it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [02:02<00:07, 76.76it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [02:02<00:07, 76.76it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [02:02<00:07, 74.24it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [02:02<00:07, 74.24it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [02:02<00:07, 75.21it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [02:02<00:07, 75.21it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [02:02<00:07, 75.98it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [02:02<00:07, 75.98it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [02:02<00:07, 76.36it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [02:02<00:07, 76.36it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [02:02<00:07, 76.71it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [02:03<00:07, 76.71it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [02:03<00:07, 76.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [02:03<00:07, 76.75it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [02:03<00:06, 77.04it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [02:03<00:06, 77.04it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [02:03<00:06, 77.06it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [02:03<00:06, 77.06it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [02:03<00:06, 77.22it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [02:03<00:06, 77.22it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [02:03<00:06, 77.37it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [02:03<00:06, 77.37it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [02:03<00:06, 74.97it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [02:03<00:06, 74.97it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [02:03<00:06, 75.54it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [02:03<00:06, 75.54it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [02:03<00:06, 75.99it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [02:04<00:06, 75.99it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [02:04<00:06, 76.36it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [02:04<00:06, 76.36it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [02:04<00:05, 76.85it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [02:04<00:05, 76.85it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [02:04<00:05, 76.97it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [02:04<00:05, 76.97it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [02:04<00:05, 76.96it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [02:04<00:05, 76.96it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [02:04<00:05, 77.14it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [02:04<00:05, 77.14it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [02:04<00:05, 77.25it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [02:04<00:05, 77.25it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [02:04<00:05, 77.38it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [02:05<00:05, 77.38it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [02:05<00:05, 74.56it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [02:05<00:05, 74.56it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [02:05<00:05, 75.21it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [02:05<00:05, 75.21it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [02:05<00:04, 75.74it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [02:05<00:04, 75.74it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [02:05<00:04, 76.58it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [02:05<00:04, 76.58it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [02:05<00:04, 77.00it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [02:05<00:04, 77.00it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [02:05<00:04, 77.03it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [02:05<00:04, 77.03it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [02:05<00:04, 77.27it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [02:05<00:04, 77.27it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [02:05<00:04, 76.92it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [02:06<00:04, 76.92it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [02:06<00:04, 77.06it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [02:06<00:04, 77.06it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [02:06<00:03, 77.27it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [02:06<00:03, 77.27it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [02:06<00:03, 74.81it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [02:06<00:03, 74.81it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [02:06<00:03, 75.52it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [02:06<00:03, 75.52it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [02:06<00:03, 75.96it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [02:06<00:03, 75.96it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [02:06<00:03, 76.49it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [02:06<00:03, 76.49it/s, Loss=0.00018, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [02:06<00:03, 76.62it/s, Loss=0.00018, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [02:06<00:03, 76.62it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [02:06<00:03, 77.07it/s, Loss=0.00020, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [02:07<00:03, 77.07it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [02:07<00:02, 77.08it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [02:07<00:02, 77.08it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [02:07<00:02, 77.01it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [02:07<00:02, 77.01it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [02:07<00:02, 77.42it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [02:07<00:02, 77.42it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [02:07<00:02, 77.41it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [02:07<00:02, 77.41it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [02:07<00:02, 74.91it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [02:07<00:02, 74.91it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [02:07<00:02, 75.64it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [02:07<00:02, 75.64it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [02:07<00:02, 76.29it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [02:08<00:02, 76.29it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [02:08<00:02, 76.64it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [02:08<00:02, 76.64it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [02:08<00:01, 76.95it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [02:08<00:01, 76.95it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [02:08<00:01, 77.19it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [02:08<00:01, 77.19it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [02:08<00:01, 77.43it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [02:08<00:01, 77.43it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [02:08<00:01, 77.36it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [02:08<00:01, 77.36it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [02:08<00:01, 77.36it/s, Loss=0.00019, L1 Loss=0.00002, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [02:08<00:01, 77.36it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [02:08<00:01, 77.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [02:08<00:01, 77.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [02:08<00:01, 74.88it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [02:09<00:01, 74.88it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [02:09<00:01, 75.77it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [02:09<00:01, 75.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [02:09<00:00, 76.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [02:09<00:00, 76.50it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:09<00:00, 76.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:09<00:00, 76.75it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:09<00:00, 77.05it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:09<00:00, 77.05it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:09<00:00, 77.41it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:09<00:00, 77.41it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:09<00:00, 77.37it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:09<00:00, 77.37it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:09<00:00, 77.52it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:09<00:00, 77.52it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:09<00:00, 77.68it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:10<00:00, 77.68it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:10<00:00, 77.51it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:10<00:00, 76.86it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00022, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
-
-[ITER 7000] Saving Gaussians [28/10 19:17:39]
-
-[ITER 10000] Saving Gaussians [28/10 19:18:18]
-
-Training complete. [28/10 19:18:18]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233248_177244/points3D.ply b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233248_177244/points3D.ply
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\ No newline at end of file
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deleted file mode 100644
index 600988f48406721674b540d0e15a9607a020a720..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/agent_findings.json
+++ /dev/null
@@ -1,436 +0,0 @@
-{
-  "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-  "case_id": "233248",
-  "reviewed_at_utc": "2026-10-28T23:20:51.503042+00:00",
-  "scope": {
-    "goal": "Review this new static appearance trained from the owner-accepted stronger-reprojection prior",
-    "done_when": "Three completed stages, one saved-output checker, 13 actual inspected images and linked numerical/visual findings",
-    "non_goals": [
-      "No science launch or product alteration",
-      "No global/owner record changes",
-      "No mechanical or dynamic validation"
-    ],
-    "validation": "12 saved view NPZs, three PLYs, three 10000-step histories, populations/opacity counts, exact accepted prior, all packet links"
-  },
-  "status": "ready_for_owner_static_appearance_review",
-  "owner_acceptance": "pending for this new run",
-  "accepted_prior_identity_matches": true,
-  "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "appearance_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1",
-  "numerical_evidence": {
-    "job": {
-      "case_id": "233248",
-      "session_id": "session_20260921_233248_177244",
-      "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-      "reference_prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1",
-      "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2",
-      "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "owner_prior_record": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/owner_prior_acceptance_c6a_v1.json",
-      "approval": {
-        "owner_text": "the stronger reprojection priors look good, please proceed with those.",
-        "recorded_utc": "2026-10-28T23:14:46.631676+00:00",
-        "selected_candidate": "stronger_reprojection",
-        "sessions": [
-          "233248",
-          "232950",
-          "233045",
-          "233144",
-          "233350"
-        ],
-        "control_count": 18,
-        "curvature_weight": 5e-09,
-        "reprojection_weight": 8.0,
-        "scope": "Accept these five reviewed priors and continue the existing mechanical-input and static-appearance preparation workflow. Trained appearance acceptance remains separate. No physical fitting.",
-        "disclosed_limitations": "Image/depth tradeoff, soft-length excess, nominal-table offsets, hidden geometry and existing later tracking/depth limitations remain recorded.",
-        "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-        "prior_manifest_sha256": "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-        "mesh_sha256": "47f7d46f3797d7e8c3030dc27dce4c57c32820a2356e5b714b9805813ec8fe22",
-        "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md",
-        "comparison_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/c6a_20261027/chain_weight_comparison_20261028/COMPARISON.md",
-        "supersedes": "Earlier chain revocation for this newly selected artifact only; historical decisions and outputs remain preserved."
-      },
-      "appearance_stage_names": [
-        "appearance_check_v1",
-        "appearance_train_v1",
-        "appearance_review_v1"
-      ],
-      "mechanical_stage_names": [
-        "mech_v2",
-        "mech_v3",
-        "mech_center_v3",
-        "mech_supervision",
-        "mech_center_supervision"
-      ]
-    },
-    "stage_results": {
-      "appearance_check_v1": {
-        "returncode": 0,
-        "elapsed_s": 2.7967678300046828,
-        "completed_utc": "2026-10-28T23:16:04.991618+00:00",
-        "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-      },
-      "appearance_train_v1": {
-        "returncode": 0,
-        "elapsed_s": 134.1705302120099,
-        "completed_utc": "2026-10-28T23:18:19.162355+00:00",
-        "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-      },
-      "appearance_review_v1": {
-        "returncode": 0,
-        "elapsed_s": 13.357733455995913,
-        "completed_utc": "2026-10-28T23:18:32.520291+00:00",
-        "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-      }
-    },
-    "run_record": {
-      "kind": "rp3_static_appearance_v1",
-      "mode": "train",
-      "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "prior_manifest_sha256": "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-      "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f",
-      "source_script": "third_party/phystwin_original/gs_train.py",
-      "source_flags": [
-        "-s",
-        "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233248_177244",
-        "-m",
-        "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model",
-        "--iterations",
-        "10000",
-        "--lambda_depth",
-        "0.001",
-        "--lambda_normal",
-        "0.0",
-        "--lambda_anisotropic",
-        "0.0",
-        "--lambda_seg",
-        "1.0",
-        "--use_masks",
-        "--isotropic",
-        "--gs_init_opt",
-        "hybrid",
-        "--disable_viewer"
-      ],
-      "runtime_overrides": [
-        "native_loader_size",
-        "q5_sh2_depth_loss"
-      ],
-      "torch": "2.4.0+cu121",
-      "fused_ssim_probe": {
-        "module_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/fused_ssim/__init__.py",
-        "identical_rgb_ssim": 1.0
-      }
-    },
-    "accepted_prior_identity_matches": true,
-    "accepted_prior_record": {
-      "owner_text": "the stronger reprojection priors look good, please proceed with those.",
-      "recorded_utc": "2026-10-28T23:14:46.631676+00:00",
-      "selected_candidate": "stronger_reprojection",
-      "sessions": [
-        "233248",
-        "232950",
-        "233045",
-        "233144",
-        "233350"
-      ],
-      "control_count": 18,
-      "curvature_weight": 5e-09,
-      "reprojection_weight": 8.0,
-      "scope": "Accept these five reviewed priors and continue the existing mechanical-input and static-appearance preparation workflow. Trained appearance acceptance remains separate. No physical fitting.",
-      "disclosed_limitations": "Image/depth tradeoff, soft-length excess, nominal-table offsets, hidden geometry and existing later tracking/depth limitations remain recorded.",
-      "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "prior_manifest_sha256": "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-      "mesh_sha256": "47f7d46f3797d7e8c3030dc27dce4c57c32820a2356e5b714b9805813ec8fe22",
-      "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md",
-      "comparison_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/c6a_20261027/chain_weight_comparison_20261028/COMPARISON.md",
-      "supersedes": "Earlier chain revocation for this newly selected artifact only; historical decisions and outputs remain preserved."
-    },
-    "finite_saved_view_arrays": [
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-      "iteration_0/view_1.npz",
-      "iteration_0/view_2.npz",
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-      "iteration_7000/view_1.npz",
-      "iteration_7000/view_2.npz",
-      "iteration_7000/view_3.npz",
-      "iteration_10000/view_0.npz",
-      "iteration_10000/view_1.npz",
-      "iteration_10000/view_2.npz",
-      "iteration_10000/view_3.npz"
-    ],
-    "ply_stats": {
-      "model/input.ply": {
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-        "all_finite": true
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-    },
-    "finite_scalar_tags": [
-      "train_loss_patches/l1_loss",
-      "train_loss_patches/total_loss",
-      "iter_time"
-    ],
-    "scalar_steps_verified": [
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-      10000
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-    "scalar_steps_contiguous": true,
-    "mean_training_view_source_total": {
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-        },
-        "novel_frames": 200
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-    },
-    "panels_to_inspect": [
-      "iteration_10000/view_0_sheet.png",
-      "iteration_10000/view_1_sheet.png",
-      "iteration_10000/view_2_sheet.png",
-      "iteration_10000/view_3_sheet.png",
-      "loss_curves.png",
-      "novel_frames/frame_000.jpg",
-      "novel_frames/frame_025.jpg",
-      "novel_frames/frame_050.jpg",
-      "novel_frames/frame_075.jpg",
-      "novel_frames/frame_100.jpg",
-      "novel_frames/frame_125.jpg",
-      "novel_frames/frame_150.jpg",
-      "novel_frames/frame_175.jpg"
-    ],
-    "owner_appearance_acceptance": "pending; historical appearance decisions do not accept this run"
-  },
-  "visual_evidence": {
-    "case_id": "233248",
-    "inspected_images": [
-      "iteration_10000/view_0_sheet.png",
-      "iteration_10000/view_1_sheet.png",
-      "iteration_10000/view_2_sheet.png",
-      "iteration_10000/view_3_sheet.png",
-      "loss_curves.png",
-      "novel_frames/frame_000.jpg",
-      "novel_frames/frame_025.jpg",
-      "novel_frames/frame_050.jpg",
-      "novel_frames/frame_075.jpg",
-      "novel_frames/frame_100.jpg",
-      "novel_frames/frame_125.jpg",
-      "novel_frames/frame_150.jpg",
-      "novel_frames/frame_175.jpg"
-    ],
-    "view_findings": {
-      "12540311": "The two exposed arcs and link texture align with the observation. The upper hand-hidden closure remains open; the lower grasp contains a dark diffuse patch and speckled protrusions below the arc.",
-      "12933256": "The exposed upper arc retains visible link texture. The forearm-hidden lower arc is broad, mottled and fringed, with visible open ends in the object-only render.",
-      "17736741": "Both exposed arcs align, while the upper grip gap remains open. The lower grip includes a dark inferred patch and a short speckled downward spur.",
-      "23007103": "The main arcs align; the top closure has a small irregular break and the right grasp has a narrow gap with dark diffuse material and a local protrusion."
-    },
-    "orbit": "All eight sampled orbit frames retain the two main arcs without gross collapse or frame clipping. A hand-hidden end gap remains conspicuous from most angles, and the opposite grasp retains local dark swelling and fringe. The apparent loop closure is incomplete in appearance despite the closed geometric prior.",
-    "loss": "The plotted L1 and total training losses decline and settle, with sharp transients near iterations 3000, 6000 and 9000. No sustained late divergence is visible.",
-    "temporal_and_hand_context": "The retained reference review represents both hands with 30 measured controls (14 hand_A and 16 hand_B) after the inclusive initial 4 cm gate. It sampled 13 times per camera. Camera 12933256 retains only 55\u2013248 admitted object points during foreground-arm occlusion; initial lifted scatter and multiview depth differences remain. Missing observations were not filled. This static appearance does not validate later trajectories, hidden shape or table contact.",
-    "sampling_scope": "All 13 images were actually inspected individually: four final sheets, one loss plot and eight of 200 saved orbit frames."
-  },
-  "training_recipe": {
-    "iterations": 10000,
-    "optimizer_updates": 9999,
-    "held_out": false,
-    "reference_opacity_export": "strict >0.1"
-  },
-  "preserved_reference_limitations": [
-    "Visual review sampled 13 times per view, not every video frame.",
-    "Tracker visibility and certainty are not geometric accuracy.",
-    "Initial lifted scatter and multiview depth differences remain; the requested prior geometry, silhouette/depth diagnostics and owner review are still required."
-  ],
-  "physical_fitting_authorized": false,
-  "scientific_outputs_modified": false,
-  "source_or_global_or_owner_records_modified": false
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json
deleted file mode 100644
index a5c3ee18b2851a9278c0a1fe3a89becb7a9f9eb7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json
+++ /dev/null
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+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/run_record.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/run_record.json
deleted file mode 100644
index 81af5810cb2e3c489abc398f92e90c1def98760b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/run_record.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "kind": "rp3_static_appearance_v1",
-  "mode": "train",
-  "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "prior_manifest_sha256": "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-  "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f",
-  "source_script": "third_party/phystwin_original/gs_train.py",
-  "source_flags": [
-    "-s",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233248_177244",
-    "-m",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model",
-    "--iterations",
-    "10000",
-    "--lambda_depth",
-    "0.001",
-    "--lambda_normal",
-    "0.0",
-    "--lambda_anisotropic",
-    "0.0",
-    "--lambda_seg",
-    "1.0",
-    "--use_masks",
-    "--isotropic",
-    "--gs_init_opt",
-    "hybrid",
-    "--disable_viewer"
-  ],
-  "runtime_overrides": [
-    "native_loader_size",
-    "q5_sh2_depth_loss"
-  ],
-  "torch": "2.4.0+cu121",
-  "fused_ssim_probe": {
-    "module_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/fused_ssim/__init__.py",
-    "identical_rgb_ssim": 1.0
-  }
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_argv.json
deleted file mode 100644
index 1ee47b69ee09e15616b558ed04d9a11db97f4ce3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/bin/python",
-    "scripts/real_rgbd_appearance_train.py",
-    "train",
-    "--prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--accepted-prior-manifest-sha256",
-    "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_result.json
deleted file mode 100644
index b926241887d14e8ff7190ad2211e96220f4c815a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 134.1705302120099,
-  "completed_utc": "2026-10-28T23:18:19.162355+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision.log
deleted file mode 100644
index aa8efba1bed1c4edfd339813ebf8c01b675f1899..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision.log
+++ /dev/null
@@ -1,46 +0,0 @@
-{
- "populations": {
-  "P_chamfer_targets": 1693,
-  "genuine_t_pairs": 598,
-  "N": 598,
-  "S": 991,
-  "A": 1028,
-  "added_surface": 393,
-  "interior": 37,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 15,
-   "hand_B": 15
-  }
- },
- "initialization_groups": {
-  "initialized_original": 598,
-  "in_band_not_initialized": 823,
-  "outside_initial_band": 272
- },
- "denominators": {
-  "D_C": 1615,
-  "D_T": 547,
-  "rule": "RT-S2, fixed for the whole run; C/T weights unchanged"
- },
- "graph": {
-  "object_springs": 16855,
-  "controller_springs": 911,
-  "object_rest_min_max_m": [
-   0.0002968201879411936,
-   0.01963943988084793
-  ],
-  "controller_rest_min_max_m": [
-   0.010204235091805458,
-   0.03995547443628311
-  ],
-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 200,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 495,
-   "hand_B": 416
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_argv.json
deleted file mode 100644
index 2a0b7cd3b2456f02a5f21d91b99d9823f6e11dd8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_argv.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_mesh_center_model.py",
-    "--rt-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/supervision"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg",
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_result.json
deleted file mode 100644
index fa9305a82edd5a5dbece421c674475ccf959a364..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_supervision_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 3.228701779997209,
-  "completed_utc": "2026-10-28T23:21:56.840033+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3.log
deleted file mode 100644
index 6d510d74e50d0706d0fca551e95862493e92d2a4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3.log
+++ /dev/null
@@ -1,38 +0,0 @@
-{
- "populations": {
-  "N": 598,
-  "S": 991,
-  "A": 1028,
-  "added_surface": 393,
-  "interior": 37,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 15,
-   "hand_B": 15
-  }
- },
- "denominators": {
-  "D_V": 562,
-  "D_M": 540
- },
- "graph": {
-  "object_springs": 16855,
-  "controller_springs": 911,
-  "object_rest_min_max_m": [
-   0.0002968201879411936,
-   0.01963943988084793
-  ],
-  "controller_rest_min_max_m": [
-   0.010204235091805458,
-   0.03995547443628311
-  ],
-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 200,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 495,
-   "hand_B": 416
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_argv.json
deleted file mode 100644
index 2154a340d12f3dbdd1fe9396e2badbf7d02ca186..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_argv.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_mesh_center_model.py",
-    "--rt-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/mechanics_v3"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg",
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_result.json
deleted file mode 100644
index 8f82f460976ec1ec4ed8eb9425cc6d476b51905b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_center_v3_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.2161011190037243,
-  "completed_utc": "2026-10-28T23:21:26.139273+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_argv.json
deleted file mode 100644
index 296fd5338a9db8eadcba33fd7597ac8ebaed232e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_argv.json
+++ /dev/null
@@ -1,43 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "47f7d46f3797d7e8c3030dc27dce4c57c32820a2356e5b714b9805813ec8fe22",
-    "--accepted-prior-manifest-sha256",
-    "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--supervision-policy",
-    "initialization_only_mesh_gate_v1",
-    "--mechanical-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/mechanics_v3/mesh/binding.json",
-    "--premesh-fitting",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/fitting",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/supervision"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg",
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_result.json
deleted file mode 100644
index 83de7920a422a58ead49e7b5ba353d95bb479e7e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_supervision_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 27.471637964001275,
-  "completed_utc": "2026-10-28T23:21:53.611130+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_argv.json
deleted file mode 100644
index a5539d5aac52ed81c2c533ba82db50a59d9a3522..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_argv.json
+++ /dev/null
@@ -1,39 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "47f7d46f3797d7e8c3030dc27dce4c57c32820a2356e5b714b9805813ec8fe22",
-    "--accepted-prior-manifest-sha256",
-    "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--mesh-rules",
-    "m2_10mm_centerline_core_v2",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/mechanics_v2"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg",
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_result.json
deleted file mode 100644
index 041729002a18d2f4f795d313335625392c29f037..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v2_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 85.30698498200218,
-  "completed_utc": "2026-10-28T23:19:57.827734+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_argv.json
deleted file mode 100644
index d58c45d594769d3e2c6adfd0c30a97c8494588ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_argv.json
+++ /dev/null
@@ -1,41 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "47f7d46f3797d7e8c3030dc27dce4c57c32820a2356e5b714b9805813ec8fe22",
-    "--accepted-prior-manifest-sha256",
-    "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--retained-samples-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/mechanics_v2/mesh/binding.json",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/mechanics_v3"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg",
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_result.json
deleted file mode 100644
index d09a6a2086dee1799d98ddceacd27a3912a5bd27..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mech_v3_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 86.09472304099472,
-  "completed_utc": "2026-10-28T23:21:23.922783+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mechanics_complete.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mechanics_complete.json
deleted file mode 100644
index 0bf345c51bb5ddb5996bc7ec98ef16c38552873b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/mechanics_complete.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "case_id": "233248",
-  "phase": "mechanics",
-  "failed_stage": null,
-  "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2",
-  "completed_utc": "2026-10-28T23:21:56.840173+00:00"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/owner_appearance_review_request.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/owner_appearance_review_request.json
deleted file mode 100644
index 545beb98d20f234bed37b17b71f888cccd2bbe08..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/owner_appearance_review_request.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
-  "requested_utc": "2026-10-28T23:26:28.204396+00:00",
-  "appearance_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "98a9758fc28df61404519d898543168f3e87057ef166d0738cfd7a6293c1118c",
-  "prior_manifest_sha256": "30c1eaa82f1e944682fa0b545be356a22506446ec23d3ce415c35b78e92acd9e",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md",
-  "reference_opacity_filter": "strict opacity >0.1",
-  "owner_decision": "accepted",
-  "physical_fitting": "not authorized by this request",
-  "candidate": "stronger_reprojection",
-  "acceptance_record": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/owner_appearance_acceptance.json"
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/previous_owner_appearance_acceptance.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/previous_owner_appearance_acceptance.json
deleted file mode 100644
index c6e4e9ba5764e82f220274b5bd333026269dbe3d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/previous_owner_appearance_acceptance.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "requested_utc": "2026-10-28T22:17:09.243216+00:00",
-  "appearance_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "b04aac676a535237441ac432b13c341abeb1d047d22fbb1cac0eac7c787a7676",
-  "prior_manifest_sha256": "6bae8ff984f579cef97ccf1543097d97047be94573a7e372c60f6719799e5e7d",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md",
-  "reference_opacity_filter": "strict opacity >0.1",
-  "physical_fitting": "not authorized by this request",
-  "owner_text": "Accept 233248\u2019s appearance",
-  "question_item_id": "[\"request_user_input_async\",\"call_01063e8737b949e382cc7df7f7f420f5\",0]",
-  "recorded_utc": "2026-10-28T22:20:00.772516+00:00",
-  "scope": "Accept the reviewed static appearance based on variantB, including disclosed hand-hidden gaps, diffuse foreground-grip lobe and fringe. No physical fitting is authorized."
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks.log b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks.log
deleted file mode 100644
index fe5be3b480dfff5e1a86cdb462f16ca911f474bf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks.log
+++ /dev/null
@@ -1,6 +0,0 @@
-/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/lib/python3.11/site-packages/torch/functional.py:505: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4381.)
-  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
-12540311: saved 540 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz
-12933256: saved 540 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz
-17736741: saved 540 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz
-23007103: saved 540 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks/track_report.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks/track_report.json
deleted file mode 100644
index 579686a45d6edd797f5fad1d8b8019d392188359..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks/track_report.json
+++ /dev/null
@@ -1,111 +0,0 @@
-{
-  "checkpoint": "/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt",
-  "checkpoint_sha256": "6cd0e793fdcface3063d63f8ed3819bcf74c2c0468fe1fef85acee4de2f3609f",
-  "fork_commit": "454041f7eb110a3eeabf9743cd97f119ed91fb8e",
-  "load_report": {
-    "checkpoint_path": "/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt",
-    "checkpoint_top_level_keys": [
-      "epoch",
-      "global_step",
-      "pytorch-lightning_version",
-      "state_dict",
-      "loops",
-      "callbacks",
-      "optimizer_states",
-      "lr_schedulers",
-      "fit_loop",
-      "optimization_steps",
-      "training_batches",
-      "lr_scheduler_states",
-      "cfg"
-    ],
-    "checkpoint_variant": "tapnextpp_512",
-    "image_size_hw": [
-      256,
-      256
-    ],
-    "load_ok": true,
-    "missing_keys": [],
-    "model_class": "tapnet.tapnext.tapnext_torch.TAPNext",
-    "num_state_dict_tensors": 401,
-    "rgb_input_size_hw": [
-      512,
-      512
-    ],
-    "state_dict_prefix_stripped": "tapnext.",
-    "strict_load": true,
-    "unexpected_keys": []
-  },
-  "schema": "real_rgbd_rt2_tapnextpp_512_run_v1",
-  "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-  "selected_frames_sha256": "df2db29da5743fa994423000bfa4afb13438f37d921a5e0e001f57fd9b27a55b",
-  "selected_session": "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-  "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-  "signed_native_frames_sha256": "4fab40868c856a450e65bbdd1704f78c7d48389ab3d761f4b68c4cd09973e80e",
-  "views": [
-    {
-      "crop_xyxy": [
-        335,
-        274,
-        1104,
-        1043
-      ],
-      "frames": 540,
-      "queries": 5000,
-      "saved_query_product_sha256": "6eb70f7604dc5f1c2acc90632506071bf7cd58e589a64c881b010dd905dac5f2",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-      "selected_frames_sha256": "df2db29da5743fa994423000bfa4afb13438f37d921a5e0e001f57fd9b27a55b",
-      "serial": "12540311",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz"
-    },
-    {
-      "crop_xyxy": [
-        685,
-        103,
-        1409,
-        827
-      ],
-      "frames": 540,
-      "queries": 5000,
-      "saved_query_product_sha256": "1fa35137c5ed85f523d03d011bdd662e03b0f53c1f2a8e98f5edd56500538bf2",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-      "selected_frames_sha256": "df2db29da5743fa994423000bfa4afb13438f37d921a5e0e001f57fd9b27a55b",
-      "serial": "12933256",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz"
-    },
-    {
-      "crop_xyxy": [
-        412,
-        147,
-        1162,
-        897
-      ],
-      "frames": 540,
-      "queries": 5000,
-      "saved_query_product_sha256": "097c239607cf06792ff4d01da40d6356993beaed755c762c613847724c58d9ef",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-      "selected_frames_sha256": "df2db29da5743fa994423000bfa4afb13438f37d921a5e0e001f57fd9b27a55b",
-      "serial": "17736741",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz"
-    },
-    {
-      "crop_xyxy": [
-        874,
-        106,
-        1672,
-        904
-      ],
-      "frames": 540,
-      "queries": 5000,
-      "saved_query_product_sha256": "0d4b20c332b8fc5a1b9c38d42c1b04f0198faf14e8c06c0e5deaf7485f249f46",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-      "selected_frames_sha256": "df2db29da5743fa994423000bfa4afb13438f37d921a5e0e001f57fd9b27a55b",
-      "serial": "23007103",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_argv.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_argv.json
deleted file mode 100644
index fd8c4da6a261edec860c000ca3a7dbd94a2b9166..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_argv.json
+++ /dev/null
@@ -1,18 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/run_rt2_tapnextpp_tracks.py",
-  "--result-root",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747",
-  "--selected-session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233248_177244",
-  "--selected-frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/frames_waft.npz",
-  "--saved-query-tracks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/query_tracks",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt",
-  "--device",
-  "cuda",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233248_177244/window_anchor0208-0747/accepted_input_preparation_c6a_v1/tapnextpp_tracks"
-]
diff --git a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_result.json b/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_result.json
deleted file mode 100644
index 248349e291b3a234e2dfda060db52dc24b6135bb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233248_177244/preprocessing/chain-stronger-reprojection-v2/native/tapnextpp_tracks_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_including_lock_wait": 288.33674944399536
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/C6A_REVIEW.md b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/C6A_REVIEW.md
deleted file mode 100644
index 7d3e4bb068b2dae7d5ccddaa711fcba74f39c2f3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/C6A_REVIEW.md
+++ /dev/null
@@ -1,80 +0,0 @@
-# session_20260921_233350_440979: selected-window mask review
-
-**stronger-reprojection prior accepted; fresh mechanical/static-appearance preparation complete and reviewed; owner accepted.**
-
-Owner-selected anchor camera 12540311 converted frames: **359–730 inclusive**.
-Object: bike chain. Motion: two-handed grasp lifting completely off table, lateral shearing cycles, then put down.
-Participating controllers: `hand_A+hand_B`. A is the right bracelet hand; B is the left hand.
-Hand masks cover visible bare forearm through fingertips and exclude sleeve/bracelet. The occluder covers the whole visible person, clothing, accessories and nonparticipating hands.
-
-[Recorded owner window decision](owner_window_decision.json) and [2026-10-28 owner mask review](owner_mask_acceptance_c6a_selected_20261028.json). Accept the reviewed object, hand_A, hand_B and whole-person occluder masks in all four cameras on the owner-selected window for reference input preparation. Prior, appearance and push fixed-attachment decisions remain separate.
-
-## Four-camera tiled videos
-
-Each video shows all four cameras in a 2×2 layout: **12540311 / 12933256** above **17736741 / 23007103**.
-
-[Object](review_tiled_c6a_20261028/role_object.mp4) · [Right hand A](review_tiled_c6a_20261028/role_hand_A.mp4) · [Left hand B](review_tiled_c6a_20261028/role_hand_B.mp4) · [Whole person](review_tiled_c6a_20261028/role_occluder.mp4)
-
-Playback is 10 frames/s for inspection. Views are associated by recorded timestamps; every native capture appears, with repeated tiles where needed. Labels show each camera’s selected-local, converted and native frame numbers, capture timestamp and offset from the display event. This is a display association, not a change to the masks or selected windows.
-
-[Exact displayed capture mapping](review_tiled_c6a_20261028/media_index.json).
-
-## Exact own-camera mapping
-
-| Camera | Selected-local t | Converted frames | Native container frames | First / last capture timestamp ns |
-|---|---|---|---|---|
-| 12540311 | 0–371 | 359–730 | 360–731 | 1790048068527115074 / 1790048080936730404 |
-| 12933256 | 0–371 | 358–729 | 359–730 | 1790048068529085976 / 1790048080938732878 |
-| 17736741 | 0–371 | 359–730 | 360–731 | 1790048068522885392 / 1790048080931536450 |
-| 23007103 | 0–371 | 358–729 | 359–730 | 1790048068520351361 / 1790048080930114014 |
-
-[Selected native input manifest](native_inputs/per_camera_inputs.json) and [exact source-mask row selection](mask_review_selection.json). Only each product’s named owning column is admitted; other columns are display associations.
-
-## Selected-window role clips
-
-Clips play every selected capture at 10 frames/s and retain the source capture timestamps. The first label uses selected-local `t`; each camera has its own count. The native mask arrays remain unchanged in the source packets.
-
-| Camera | Object | Right hand A | Left hand B | Whole person |
-|---|---|---|---|---|
-| 12540311 | [object](review_media_owner_window_20261028/12540311/role_object.mp4) | [hand_A](review_media_owner_window_20261028/12540311/role_hand_A.mp4) | [hand_B](review_media_owner_window_20261028/12540311/role_hand_B.mp4) | [occluder](review_media_owner_window_20261028/12540311/role_occluder.mp4) |
-| 12933256 | [object](review_media_owner_window_20261028/12933256/role_object.mp4) | [hand_A](review_media_owner_window_20261028/12933256/role_hand_A.mp4) | [hand_B](review_media_owner_window_20261028/12933256/role_hand_B.mp4) | [occluder](review_media_owner_window_20261028/12933256/role_occluder.mp4) |
-| 17736741 | [object](review_media_owner_window_20261028/17736741/role_object.mp4) | [hand_A](review_media_owner_window_20261028/17736741/role_hand_A.mp4) | [hand_B](review_media_owner_window_20261028/17736741/role_hand_B.mp4) | [occluder](review_media_owner_window_20261028/17736741/role_occluder.mp4) |
-| 23007103 | [object](review_media_owner_window_20261028/23007103/role_object.mp4) | [hand_A](review_media_owner_window_20261028/23007103/role_hand_A.mp4) | [hand_B](review_media_owner_window_20261028/23007103/role_hand_B.mp4) | [occluder](review_media_owner_window_20261028/23007103/role_occluder.mp4) |
-
-[First / middle / last person-mask readback](review_media_owner_window_20261028/occluder_first_middle_last.jpg) and [media selection/admission record](review_media_owner_window_20261028/media_index.json).
-
-## Existing evidence and remaining review
-
-[Earlier packet and boundary context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/C6A_REVIEW.md) remain available; their old interval is historical. The existing mask quality findings remain relevant where their captures are retained. A trim does not correct mask defects or constitute a new full-playback mask review.
-
-Owner chose18controls and curvature5e-9 for this chain on2026-10-28; the completed candidate still requires its own acceptance.
-
-## Latest preparation review
-
-The reference review is complete. [Findings](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/REVIEW.md) retain later camera-129 support gaps, depth tails and isolated derived points. The owner-selected 18-control, curvature-weight 5e-9 prior has completed; its separate review is in progress.
-
-## Initial18-control prior review
-
-Numerical and visual review is complete. [Review packet](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_m18_lowcurvature_v1/PRIOR_REVIEW_c6a_v1.md) retains the raised inferred grip-side segment, soft-length excess0.178mm and later reference limitations. Owner prior acceptance is pending.
-
-## Current owner decision: chain prior held
-
-On 2026-10-28 the owner revoked all bike-chain prior acceptances and requested one shared fitting recipe across all five sessions, investigating lower curvature cost and/or higher mask reprojection cost. All earlier approvals and outputs remain historical evidence; dependent preparation is held. The owner subsequently authorized the two shared candidates below; selection remains pending.
-
-## Shared chain-prior candidates, 2026-10-28
-
-Both full candidates are complete and reviewed. [Five-case comparison](</mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/c6a_20261027/chain_weight_comparison_20261028/COMPARISON.md>): 18 controls with curvature/reprojection 5e-10/4 or 5e-9/8, compared with the retained 5e-9/4 baseline. Earlier prior acceptances remain revoked. No new dependent preparation is authorized by completion.
-
-## Owner selection: stronger reprojection
-
-The owner accepted the stronger-reprojection prior (18 controls, curvature 5e-9, reprojection 8) and requested continuation on 2026-10-28. [Exact current decision](owner_prior_acceptance_c6a_v1.json). Fresh mechanical inputs and static appearance are being prepared in `accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2`; older products remain historical. Trained appearance acceptance and physical fitting remain separate.
-
-
-### Current stronger-reprojection products
-
-[Static appearance and rotation](accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md) · [Mechanical geometry and controllers](accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/supervision/review_c6a_v1/MECHANICAL_REVIEW.md). Earlier sections retain their historical decisions; the current status is at the top of this card.
-
-
-### New stronger-reprojection appearance accepted
-
-The owner accepted the [reviewed appearance](accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md). The exact acceptance and final PLY identity are retained in [the current record](owner_appearance_acceptance_c6a_v1.json).
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/mask_review_selection.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/mask_review_selection.json
deleted file mode 100644
index a6acd20484482f06b24efb4c15c7aeeb9d33de57..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/mask_review_selection.json
+++ /dev/null
@@ -1,1624 +0,0 @@
-{
-  "purpose": "Review-only exact own-camera selection from original validated masks; no window rebinding or signoff",
-  "owner_window_decision": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_window_decision.json",
-  "previous_packet": {
-    "session_id": "session_20260921_233350_440979",
-    "object": "bike chain",
-    "motion": "two-handed grasp lifting completely off table, lateral shearing cycles, then put down",
-    "proposed_anchor_frames": "336-735",
-    "T": "400",
-    "per_camera_counts": "400/400/400/400",
-    "rectangular": "true",
-    "participating_hands": "hand_A+hand_B",
-    "alternatives": "",
-    "masks": "not yet proposed",
-    "case_dir": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735",
-    "status": "window proposed; pending owner review",
-    "source_proposal": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_proposal_c1/proposal.json",
-    "current_proposal": {
-      "start_anchor_frame": 336,
-      "end_anchor_frame_inclusive": 735,
-      "start_ns": 1790048067756231182,
-      "end_ns": 1790048081104138437,
-      "rationale": "Start = last hand (left) makes contact: zoomed anchor view shows a small gap above the far strand at 333, fingertip reaching the strand at 334-335, and fingers on the strand from 336, with a clear pinch from ~338 (start_zoom_12540311_333-342_lefthand.jpg). The right hand is already on the near strand at 322. End = first release (left): chain laid on the table ~725-735 while held; the left fingers are still on the chain end at 735, just above it at 736 and clearly separated at 737 (end_zoom_12540311_733-739_lefthand.jpg); the right hand withdraws 737-741."
-    },
-    "amendment": null,
-    "owner_accepted": false,
-    "products": [
-      {
-        "root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735",
-        "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
-        "serials": [
-          "12540311",
-          "12933256",
-          "17736741",
-          "23007103"
-        ],
-        "T": 400,
-        "use": "rectangular proposed captures"
-      }
-    ]
-  },
-  "cameras": [
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-      "source_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
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-          "runs": [
-            {
-              "file": "masks/12540311/hand_B/run0001_t0000-0400.npz",
-              "sha256": "a6f8492ffafae84425df5c271a641167686b0573e9f83cd72fd7e5669f87446c"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12540311/hand_B/t0000_v01.json",
-              "sha256": "c3bdbd26c0e0d927b9f35efdafbbf14c17fcb23f46a7737e73ed6b09c2a0a74c"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 372,
-      "visible_frames": 372
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:16Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12540311/review_signoff_occluder.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12540311/review_signoff_occluder.json
deleted file mode 100644
index c7132f81d711e1726df63b6bb255b04d57aba198..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12540311/review_signoff_occluder.json
+++ /dev/null
@@ -1,1185 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_233350_440979",
-    "window_sha256": "75240bd85ebe96f5db10b8b88daaf8cd0014b2f1af74241152a71319558cf4d0",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      357,
-      729
-    ],
-    "anchor_time_ns_first_last": [
-      1790048068527115074,
-      1790048080936730404
-    ]
-  },
-  "frames_npz_sha256": "48e042953277766b9b0f888b7b739e9827765283a78f98a2f0e3c8e80fcfefe1",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "12540311",
-      "instance": "occluder",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
-          "frames_npz_sha256": "74456ad2e57de46cd9e69a225d50ddf31f4320bbfb10addd0ff9d796946f062d",
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-              "file": "masks/12540311/occluder/run0002_t0000-0400.npz",
-              "sha256": "d92680e23778192b690ce86a9b96f8dc29e05f9f02e8636bd5b2a104049cddb4"
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-              "file": "annotations/prompts/12540311/occluder/t0000_v02.json",
-              "sha256": "7060b2d4941c6e4b0ec077ada35ad5a909eaf14a12180d136d01bd7d189dba0c"
-            }
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-      ],
-      "covered_frames": 372,
-      "visible_frames": 372
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:18Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/inspection/frames.npz b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/inspection/frames.npz
deleted file mode 100644
index c5f92723ed444a733dca6fbcc57bd3fd58046f47..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6118d29b38eb0e2bb4dc4a3e17e0d96010b43b6d49912fc84e28b14697ee1024
-size 92392
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff.json
deleted file mode 100644
index b98009ac0ce4ada21a40148248923e44d10c9ac4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff.json
+++ /dev/null
@@ -1,3481 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_233350_440979",
-    "window_sha256": "75240bd85ebe96f5db10b8b88daaf8cd0014b2f1af74241152a71319558cf4d0",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      730
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-    "anchor_time_ns_first_last": [
-      1790048068529085976,
-      1790048080938732878
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-  },
-  "frames_npz_sha256": "6118d29b38eb0e2bb4dc4a3e17e0d96010b43b6d49912fc84e28b14697ee1024",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
-    {
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-      "instance": "object",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
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-          "runs": [
-            {
-              "file": "masks/12933256/hand_B/run0001_t0000-0400.npz",
-              "sha256": "fa27ef5e55a86b16120dd16583843f0b0048416ec0642c08e4d47e362d0510d4"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12933256/hand_B/t0000_v01.json",
-              "sha256": "929eeb9f53645f0da038557a119b764b89af07ebf8ef66a14edc6a894b0201bc"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 372,
-      "visible_frames": 372
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:20Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff_occluder.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff_occluder.json
deleted file mode 100644
index 8a49e25769ebaf3de75959f02d4db99ebbc77ec1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/12933256/review_signoff_occluder.json
+++ /dev/null
@@ -1,1185 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_233350_440979",
-    "window_sha256": "75240bd85ebe96f5db10b8b88daaf8cd0014b2f1af74241152a71319558cf4d0",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      358,
-      730
-    ],
-    "anchor_time_ns_first_last": [
-      1790048068529085976,
-      1790048080938732878
-    ]
-  },
-  "frames_npz_sha256": "6118d29b38eb0e2bb4dc4a3e17e0d96010b43b6d49912fc84e28b14697ee1024",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "12933256",
-      "instance": "occluder",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
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-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:22Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
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-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/inspection/frames.npz b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/inspection/frames.npz
deleted file mode 100644
index 30c3cc5d96783cb074a7a3e87e857f10235c564a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3af1fcdd7716b2267ea52c52e22319436efaf44a1801e24186498c5b27b981c7
-size 92392
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff.json
deleted file mode 100644
index 6aa929bd5fc155bc45aa08e289d356d92715295d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff.json
+++ /dev/null
@@ -1,3481 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
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-    "hand_A",
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-          "runs": [
-            {
-              "file": "masks/17736741/hand_B/run0001_t0000-0400.npz",
-              "sha256": "6cf50969f0291034d9ff6b46e1ac95325b6a76c02495c0835c1b062c3e40b24b"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/17736741/hand_B/t0000_v01.json",
-              "sha256": "6e465694c9189222487eb91083869817b2053ecdeecd7d1ffbf4c37e3799064a"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 372,
-      "visible_frames": 372
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:24Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff_occluder.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff_occluder.json
deleted file mode 100644
index 939da824114c21e46f2ce61016fc4b55f0d3476c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/17736741/review_signoff_occluder.json
+++ /dev/null
@@ -1,1185 +0,0 @@
-{
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-              "sha256": "7576f1e23b196e3b4fa3b27243e9d0369531ea68182b062a1f3d5f2c434ada7f"
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-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:26Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/inspection/frames.npz b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/inspection/frames.npz
deleted file mode 100644
index 87dc06a6ceda2b1547dc7eb04ea65603e4cf4ad3..0000000000000000000000000000000000000000
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diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/review_signoff.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/review_signoff.json
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+++ /dev/null
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-{
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-          "runs": [
-            {
-              "file": "masks/23007103/hand_B/run0001_t0000-0400.npz",
-              "sha256": "c4e7729f96c1ec43fbf9e739d1ad64b489c05438abf4a0e13ccd6fdb2874f932"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/23007103/hand_B/t0000_v01.json",
-              "sha256": "f0ce1779670d05b73cd860abeb841426b12a20a79eb23bf301490abf0c361f0a"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 372,
-      "visible_frames": 372
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:28Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/review_signoff_occluder.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/review_signoff_occluder.json
deleted file mode 100644
index 0233848fa57cd807bdd13dbcd479e1ac3df3cc7c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/cameras/23007103/review_signoff_occluder.json
+++ /dev/null
@@ -1,1185 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_233350_440979",
-    "window_sha256": "75240bd85ebe96f5db10b8b88daaf8cd0014b2f1af74241152a71319558cf4d0",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      357,
-      729
-    ],
-    "anchor_time_ns_first_last": [
-      1790048068520351361,
-      1790048080930114014
-    ]
-  },
-  "frames_npz_sha256": "c4ad4b8a67375180f65129c0f24b071dbf60cb5d78b6b7a950c261263f01a94e",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "23007103",
-      "instance": "occluder",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735/inspection/frames.npz",
-          "frames_npz_sha256": "74456ad2e57de46cd9e69a225d50ddf31f4320bbfb10addd0ff9d796946f062d",
-          "source_rows": [
-            23,
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-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:31:30Z",
-  "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "review_material": [
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/inspection.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/inspection.json
deleted file mode 100644
index 90557b773677f02653cd61a6cbe492647a3d9c83..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/inspection.json
+++ /dev/null
@@ -1,497 +0,0 @@
-{
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-        "window_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml",
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-        "calibration": {
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-          "world_frame": "table",
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-          "source_run_name": "20260921_200440",
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-          "world_T_camera_bundle": "world_T_camera_by_serial.npz",
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-          "depth_stream_id": "zed_17736741_depth_zed_sdk_neural_plus",
-          "converted_frame_index_half_open": [
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-      "lineage": {
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-        "window_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml",
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-          "start_sync_index": 357
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-        "anchor_stream_id": "zed_17736741_left_rgb",
-        "sync_clock": "sync_time_ns (host_unix_time_ns)",
-        "device_clock": "device_time_ns",
-        "frame_association": "own camera: each consecutive capture in the original sidecar range; other nearest-associated columns are review metadata only",
-        "intrinsics_source": "metadata/calibration.json camera_intrinsics at the recorded stream size",
-        "calibration": {
-          "package_dir": "metadata/calibration_package",
-          "world_frame": "table",
-          "pose_source": "phase_05_final",
-          "final_transform_source": "combined_fixed_movable_ba",
-          "source_run_name": "20260921_200440",
-          "candidate_pose_set_name": "fixed020_movable1",
-          "world_T_camera_bundle": "world_T_camera_by_serial.npz",
-          "world_T_camera_bundle_sha256": "2bcc404a8e3c4315527d0573dfdecaac7feec797a2b8cb5b581fbe9f94fbf8d5"
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-        "owning_serial": "17736741"
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-      "sync_index_half_open": [
-        357,
-        729
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-      "views": [
-        {
-          "serial": "23007103",
-          "rgb_stream_id": "zed_23007103_left_rgb",
-          "depth_stream_id": "zed_23007103_depth_zed_sdk_neural_plus",
-          "converted_frame_index_half_open": [
-            358,
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-          "repeated_steps": 0,
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-          "rgb_depth_index_equal": true,
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-          "K_fx_fy_cx_cy": [
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-          "depth_unit_m": 0.001,
-          "depth_saturated_raw": 8191
-        }
-      ],
-      "lineage": {
-        "session_id": "session_20260921_233350_440979",
-        "session_path": "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-        "window_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml",
-        "window_sha256": "75240bd85ebe96f5db10b8b88daaf8cd0014b2f1af74241152a71319558cf4d0",
-        "window_resolved": {
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-          "end_sync_index_exclusive": 729,
-          "frame_count": 372,
-          "start_anchor_timestamp_ns": 1790048068527115074,
-          "start_sync_index": 357
-        },
-        "manual_annotation_ns": [
-          1790048068527115074,
-          1790048080936730404
-        ],
-        "anchor_stream_id": "zed_23007103_left_rgb",
-        "sync_clock": "sync_time_ns (host_unix_time_ns)",
-        "device_clock": "device_time_ns",
-        "frame_association": "own camera: each consecutive capture in the original sidecar range; other nearest-associated columns are review metadata only",
-        "intrinsics_source": "metadata/calibration.json camera_intrinsics at the recorded stream size",
-        "calibration": {
-          "package_dir": "metadata/calibration_package",
-          "world_frame": "table",
-          "pose_source": "phase_05_final",
-          "final_transform_source": "combined_fixed_movable_ba",
-          "source_run_name": "20260921_200440",
-          "candidate_pose_set_name": "fixed020_movable1",
-          "world_T_camera_bundle": "world_T_camera_by_serial.npz",
-          "world_T_camera_bundle_sha256": "2bcc404a8e3c4315527d0573dfdecaac7feec797a2b8cb5b581fbe9f94fbf8d5"
-        },
-        "owning_serial": "23007103"
-      }
-    }
-  ],
-  "non_own_columns": "review metadata only; tracking and lifting consume each owning view"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/per_camera_inputs.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/per_camera_inputs.json
deleted file mode 100644
index 2157ca7c0e5b53d2619ea3d39a02285abe5189d4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/native_inputs/per_camera_inputs.json
+++ /dev/null
@@ -1,33 +0,0 @@
-{
-  "annotation_ns": [
-    1790048068527115074,
-    1790048080936730404
-  ],
-  "anchor_view": 0,
-  "cameras": [
-    {
-      "view_index": 0,
-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311"
-    },
-    {
-      "view_index": 1,
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256"
-    },
-    {
-      "view_index": 2,
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741"
-    },
-    {
-      "view_index": 3,
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_appearance_acceptance_c6a_v1.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_appearance_acceptance_c6a_v1.json
deleted file mode 100644
index 01dcfa89ff6681fdda77d2110c8998b4cd4e3e35..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_appearance_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,16 +0,0 @@
-{
-  "requested_utc": "2026-10-28T23:42:05.274049+00:00",
-  "appearance_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "1c2afe1d359159c3085b304b47d895bd2802f3a1845c0f9e3d94a7972c34476c",
-  "prior_manifest_sha256": "8205a9d675b72e61c4d63d5866d045d7ab325326b245ebef127c552db859bb59",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md",
-  "reference_opacity_filter": "strict opacity >0.1",
-  "owner_decision": "accepted",
-  "physical_fitting": "not authorized by this request",
-  "candidate": "stronger_reprojection",
-  "owner_text": "I approve of all chain priors/appearances",
-  "recorded_utc": "2026-10-29T14:05:19.320193+00:00",
-  "scope": "Accept this exact reviewed static appearance from the stronger-reprojection prior with its disclosed limitations. No physical fitting is authorized.",
-  "approval_source": "direct user message in this conversation"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_chain_fit_settings_20261028.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_chain_fit_settings_20261028.json
deleted file mode 100644
index c2ad48c07a59099479f22ae9b7085aade02f484b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_chain_fit_settings_20261028.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "Use 18 controls and 5e-9 for both",
-  "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-  "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-  "control_count": 18,
-  "lambda_curvature_cost": 5e-09,
-  "settings_source": "233248 variant B",
-  "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-  "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect.log b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect.log
deleted file mode 100644
index 0c79cbb1492bf2bd38d5ed90a1b88fad64a71e7a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/per_camera_inputs.json and /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/inspection.json
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect_argv.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect_argv.json
deleted file mode 100644
index 14f2336061df9604e6cd2c22187bbcd025ace756..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_inspect_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "inspect",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-  "--window",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml",
-  "--per-camera",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs"
-]
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_mask_acceptance_c6a_selected_20261028.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_mask_acceptance_c6a_selected_20261028.json
deleted file mode 100644
index 44f692e9fb95e635c9b51c7815791da3ee3c870f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_mask_acceptance_c6a_selected_20261028.json
+++ /dev/null
@@ -1,16 +0,0 @@
-{
-  "owner_text": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though.",
-  "recorded_utc": "2026-10-28T16:08:00.248304+00:00",
-  "accepted_window_anchor_inclusive": [
-    359,
-    730
-  ],
-  "participating_hands": [
-    "hand_A",
-    "hand_B"
-  ],
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/C6A_REVIEW.md",
-  "review_media": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/review_tiled_c6a_20261028/media_index.json",
-  "selection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json",
-  "scope": "Accept the reviewed object, hand_A, hand_B and whole-person occluder masks in all four cameras on the owner-selected window for reference input preparation. Prior, appearance and push fixed-attachment decisions remain separate."
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_acceptance_c6a_v1.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_acceptance_c6a_v1.json
deleted file mode 100644
index c80289852829c5b7c80cdcda8533d85ab10582d4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,23 +0,0 @@
-{
-  "owner_text": "the stronger reprojection priors look good, please proceed with those.",
-  "recorded_utc": "2026-10-28T23:14:46.631676+00:00",
-  "selected_candidate": "stronger_reprojection",
-  "sessions": [
-    "233248",
-    "232950",
-    "233045",
-    "233144",
-    "233350"
-  ],
-  "control_count": 18,
-  "curvature_weight": 5e-09,
-  "reprojection_weight": 8.0,
-  "scope": "Accept these five reviewed priors and continue the existing mechanical-input and static-appearance preparation workflow. Trained appearance acceptance remains separate. No physical fitting.",
-  "disclosed_limitations": "Image/depth tradeoff, soft-length excess, nominal-table offsets, hidden geometry and existing later tracking/depth limitations remain recorded.",
-  "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "prior_manifest_sha256": "8205a9d675b72e61c4d63d5866d045d7ab325326b245ebef127c552db859bb59",
-  "mesh_sha256": "82315b9e177ecd6500d61f6e2d985b9b5529c402e86c68fce6c54f0128efae97",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md",
-  "comparison_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/c6a_20261027/chain_weight_comparison_20261028/COMPARISON.md",
-  "supersedes": "Earlier chain revocation for this newly selected artifact only; historical decisions and outputs remain preserved."
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_review_request_m18_c6a_v1.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_review_request_m18_c6a_v1.json
deleted file mode 100644
index e5aacc83a3a6abc9d0e86601f739b59f50517d8c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_review_request_m18_c6a_v1.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-  "requested_utc": "2026-10-28T22:21:35.596249+00:00",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-  "manifest_sha256": "2868aa9e17b56b62b665ef54f64598c6954f80183cd20a8d62850ff5abb0680f",
-  "mesh_sha256": "61a762ebbbbf034af08558a3e89042f74ed1b2600a632b70caa25d845129553f",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_m18_lowcurvature_v1/PRIOR_REVIEW_c6a_v1.md",
-  "requested_scope": [
-    "mechanical input preparation",
-    "reference static appearance training"
-  ],
-  "owner_decision": "pending",
-  "physical_fitting": "not authorized by this request",
-  "variant": "18controls/curvature5e-9; first prior, no nine-control baseline"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_revocation_20261028.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_revocation_20261028.json
deleted file mode 100644
index e1306086695d57cf10099c953ce6af79de38c697..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_prior_revocation_20261028.json
+++ /dev/null
@@ -1,18 +0,0 @@
-{
-  "owner_text": "Ok I accepted all the chain priors, but I actually want to revert those prior acceptances. The priors are better than before now that we lowered the curvature cost and added more control points. though there are still small sharp kinks/curves that aren't perfectly being captured and I wonder if lowering the curvature penalty even further might help for all the chain spline fitting cases. And/or perhaps increase the mask reprojection cost",
-  "question_item_id": "[\"request_user_input_async\",\"call_db88702732ab4c17ba332e50ccad44b9\",0]",
-  "common_settings_owner_text": "refer to my answer for the other chain prior spline fit. I want the same settings to be used across all bike chain sessions",
-  "common_settings_question_item_id": "[\"request_user_input_async\",\"call_db88702732ab4c17ba332e50ccad44b9\",1]",
-  "recorded_utc": "2026-10-28T22:27:21.459869+00:00",
-  "scope": "Revoke all current bike-chain prior acceptances and hold dependent preparation. Preserve all saved science and historical decisions. Investigate a shared fitting recipe with lower curvature penalty and/or higher mask reprojection weight; exact next settings are unresolved.",
-  "sessions": [
-    "233248",
-    "232950",
-    "233045",
-    "233144",
-    "233350"
-  ],
-  "new_refits_authorized": false,
-  "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-  "previous_acceptance_record_present": false
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window.log b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window.log
deleted file mode 100644
index f097b0cd713c4550ec752f75a631d7f6c282a19c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_argv.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_argv.json
deleted file mode 100644
index 07bfb44f62bb292c92bd6c9f71d7d41a3b3eb63b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_argv.json
+++ /dev/null
@@ -1,22 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_annotate_converted_session_window.py",
-  "--session-path",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-  "--anchor-serial",
-  "12540311",
-  "--start-timestamp-ns",
-  "1790048068527115074",
-  "--end-timestamp-ns",
-  "1790048080936730404",
-  "--expected-visible-hands-or-arms",
-  "2",
-  "--object-description",
-  "bike chain",
-  "--controller-description",
-  "hand_A = person's right hand (bracelet); hand_B = person's left hand. Participating: hand_A+hand_B",
-  "--notes",
-  "Owner selected anchor12540311 converted frames 359-730 inclusive on 2026-10-28. Masks remain unapproved.",
-  "--output-path",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/phystwin_window.yaml"
-]
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_decision.json b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_decision.json
deleted file mode 100644
index a102045449a88390aa61a82efceb665936303de9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/owner_window_decision.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "I've now inspected the best windows for the remaining sessions, but haven't yet fully inspected all the masks. please use these windows: 225524: 471-708, 225744: 335-775, 230338: 305-744, 230446: 282-676, 230550: 293-547, 230830: 349-805, 230937: 362-817, 231046: 364-711, 232051: 260-385, 232242: 307-584, 232344: 308-680, 232447: 336-500, 232616: 311-690, 232717: 340-691, 232822: 331-765, 232950: 220-428, 233045: 256-546, 233144: 268-673, 233350: 359-730",
-  "anchor_serial": "12540311",
-  "anchor_converted_frames_inclusive": [
-    359,
-    730
-  ],
-  "mask_acceptance": "pending",
-  "previous_case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0336-0735"
-}
diff --git a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/phystwin_window.yaml b/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/phystwin_window.yaml
deleted file mode 100644
index 04fdc5f8fde7482ead9841889473ec18194fc43b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/annotations/windows/window_anchor0359-0730/native/phystwin_window.yaml
+++ /dev/null
@@ -1,81 +0,0 @@
-schema_version: 1
-kind: phystwin_interaction_window
-session:
-  path: /mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979
-  session_id: session_20260921_233350_440979
-annotation_interface:
-  method: rerun
-  rerun_timeline: sync_time_ns
-  rerun_launch_command: uv run --no-sync python -m dataset_converter.visualize_rerun
-    --session-path /mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979
-    --sensor-types zed
-  timestamp_copy_instructions: Scrub the sync_time_ns timeline in Rerun. Copy the
-    current integer-nanosecond timestamp at the desired start/end moments.
-  notes: ''
-timebase:
-  policy: native_anchor_overlap
-  sync_policy: AnchorStreamSyncPolicy
-  overlap: true
-  anchor_serial: '12540311'
-  anchor_stream_id: zed_12540311_left_rgb
-  timestamp_unit: ns
-  timestamp_reference: sync_time_ns
-  period_ns_estimate: 33453659
-  fps_estimate: 29.892096
-manual_annotation:
-  start_global_timestamp_ns: 1790048068527115074
-  end_global_timestamp_ns: 1790048080936730404
-  start_condition: hand_or_forearm_visible_and_in_contact_with_object
-  end_condition: before_release_or_contact_break
-  expected_visible_hands_or_arms: 2
-  object_description: bike chain
-  controller_description: 'hand_A = person''s right hand (bracelet); hand_B = person''s
-    left hand. Participating: hand_A+hand_B'
-  annotator_notes: Owner selected anchor12540311 converted frames 359-730 inclusive
-    on 2026-10-28. Masks remain unapproved.
-resolved_window:
-  start_sync_index: 357
-  end_sync_index_exclusive: 729
-  start_anchor_timestamp_ns: 1790048068527115074
-  end_anchor_timestamp_ns: 1790048080936730404
-  frame_count: 372
-  duration_s: 12.409615
-per_camera_resolution:
-  '12540311':
-    start_source_frame_index: 359
-    end_source_frame_index_exclusive: 731
-    start_source_timestamp_ns: 1790048068527115074
-    end_source_timestamp_ns: 1790048080936730404
-    start_delta_ns: 0
-    end_delta_ns: 0
-  '12933256':
-    start_source_frame_index: 358
-    end_source_frame_index_exclusive: 730
-    start_source_timestamp_ns: 1790048068529085976
-    end_source_timestamp_ns: 1790048080938732878
-    start_delta_ns: 1970902
-    end_delta_ns: 2002474
-  '17736741':
-    start_source_frame_index: 359
-    end_source_frame_index_exclusive: 731
-    start_source_timestamp_ns: 1790048068522885392
-    end_source_timestamp_ns: 1790048080931536450
-    start_delta_ns: -4229682
-    end_delta_ns: -5193954
-  '23007103':
-    start_source_frame_index: 358
-    end_source_frame_index_exclusive: 730
-    start_source_timestamp_ns: 1790048068520351361
-    end_source_timestamp_ns: 1790048080930114014
-    start_delta_ns: -6763713
-    end_delta_ns: -6616390
-validation:
-  within_all_camera_overlap: true
-  start_before_end: true
-  min_abs_camera_delta_ns: 0
-  max_abs_camera_delta_ns: 6763713
-  warnings: []
-created_by: manual
-created_at: '2026-10-28T14:40:05+00:00'
-updated_at: '2026-10-28T14:40:05+00:00'
-
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/color_summary.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/color_summary.json
deleted file mode 100644
index 86315ec2c5b2bb8a35a73a14f71f74bd076fa09c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/color_summary.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
-  "rule": "native sRGB/255, cosine weighted over mask/depth/first-hit visible views",
-  "two_sided": false,
-  "depth_tolerance_m": 0.025,
-  "first_hit_tolerance_m": 0.0002,
-  "per_view": [
-    {
-      "view": 0,
-      "serial": "12540311",
-      "observed_vertices": 592,
-      "projected_inside": 1728,
-      "first_hit": 927
-    },
-    {
-      "view": 1,
-      "serial": "12933256",
-      "observed_vertices": 417,
-      "projected_inside": 1728,
-      "first_hit": 914
-    },
-    {
-      "view": 2,
-      "serial": "17736741",
-      "observed_vertices": 617,
-      "projected_inside": 1728,
-      "first_hit": 925
-    },
-    {
-      "view": 3,
-      "serial": "23007103",
-      "observed_vertices": 557,
-      "projected_inside": 1728,
-      "first_hit": 917
-    }
-  ],
-  "observed_vertices": 1037,
-  "filled_vertices": 691,
-  "fill_color_rgb": [
-    0.19215686274509805,
-    0.14901960784313725,
-    0.1404657230738269
-  ],
-  "glb_roundtrip": {
-    "float32_positions_exact": true,
-    "vertex_colors_exact": true,
-    "uv_count": 0,
-    "vertex_reordered_on_open3d_load": true
-  }
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/vertex_colors.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/vertex_colors.npz
deleted file mode 100644
index e6c995a6eda1be46699c6116cb4ffed3a4f33755..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/colors/vertex_colors.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1a7d0ac0910ac34436fe019bb1f96edb608f18c639370de3ffa31877c8f1665d
-size 56328
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors.log
deleted file mode 100644
index 17a36a02e4f9e6193e4ba60672b2ba7ef3e8c077..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors.log
+++ /dev/null
@@ -1 +0,0 @@
-colors: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/colors.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_argv.json
deleted file mode 100644
index af9e5c7b2d1daed593e4b85f93511d07a82d5791..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "colors",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:51:50.944832+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_result.json
deleted file mode 100644
index 2ad6796af6b8d8b34c14d654c5a826009b81da81..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_colors_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 2.5773124219995225,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit.log
deleted file mode 100644
index 2238d6be65f3f4813c22077de4b3da12992a3f8e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit.log
+++ /dev/null
@@ -1,43 +0,0 @@
-compiling!
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-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/fit.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_argv.json
deleted file mode 100644
index 67b4c573e4e59a79cfbdafeaf8044b42b5cc76f9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_argv.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4.0",
-    "--baseline-run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "--chain-curvature-weight",
-    "5e-10",
-    "--chain-control-count",
-    "18"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:51:23.807709+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_result.json
deleted file mode 100644
index 0f0bab6aa7ac735b0220cdfdd5911fdd90090b3b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_fit_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 22.1476013000065,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid.log
deleted file mode 100644
index 3e0493d07dc02c4edf43f27d62b86d8bfe01cb36..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid.log
+++ /dev/null
@@ -1 +0,0 @@
-hybrid: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/hybrid.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_argv.json
deleted file mode 100644
index 503c6191caebf26c627acf23d6d5ca3c526c2c5c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "hybrid",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:51:53.522340+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_result.json
deleted file mode 100644
index 864eaf15f4916d240f71ec5f3165f64d96794ac4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_hybrid_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 2.2466138129966566,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest.log
deleted file mode 100644
index 7a27665ecb459d3079730d5b446787b261f68031..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/manifest.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_argv.json
deleted file mode 100644
index 2fe403f191dccb3875552594faa6b4bf8d39f764..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "manifest",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:08.235557+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_result.json
deleted file mode 100644
index ecb83828d6cc1e244b8a4f840bc4eed3e9678e05..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_manifest_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 1.3317684799985727,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review.log
deleted file mode 100644
index fffe6a5ec856592708fdfc8cec6bb5b3c7203112..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review.log
+++ /dev/null
@@ -1 +0,0 @@
-review: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/review.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_argv.json
deleted file mode 100644
index d8c05cf9e79b0d071b694b9ea16cf743c235cff3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "review",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:51:55.769157+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_result.json
deleted file mode 100644
index 8b426d41939f3918271d644062ea8261c872787d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 12.464863779998268,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube.log
deleted file mode 100644
index cc0a105b0215b7a9f7e672ae54e60d2e4e503b73..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube.log
+++ /dev/null
@@ -1 +0,0 @@
-tube: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/tube.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_argv.json
deleted file mode 100644
index 4adaceb5348c6daf53a5a9119e4d833fa16a357f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "tube",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:51:45.955598+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_result.json
deleted file mode 100644
index 57eb68078c9830ef89fdad5f55aa6d155fad8eff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/comparison_tube_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 4.989028149007936,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/full_prior_complete.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/full_prior_complete.json
deleted file mode 100644
index 3e4bbe4949b88467ed20ffa3095255e0efd127e6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/full_prior_complete.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-  "case_id": "233350",
-  "candidate": "lower_curvature",
-  "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-  "failed_stage": null,
-  "completed_utc": "2026-10-28T22:52:09.567523+00:00",
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/gaussian_data/session_20260921_233350_440979/camera_meta.pkl b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/gaussian_data/session_20260921_233350_440979/camera_meta.pkl
deleted file mode 100644
index b4f30235f312dcdef1c2ddc0a9a854efa80067cb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/gaussian_data/session_20260921_233350_440979/camera_meta.pkl
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f9c9256acec117e1352c4a1af2ed20789ebcbb39088276a9f7d9424e0e5592d8
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deleted file mode 100644
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+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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+++ /dev/null
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/hybrid/populations.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/hybrid/populations.npz
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/inputs/depth_offset_diagnostic.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/inputs/depth_offset_diagnostic.json
deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/inputs/depth_offset_diagnostic.json
+++ /dev/null
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-{
-  "annulus_px": [
-    20,
-    80
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-  "interior_erosion_px": 2,
-  "correction_applied": false,
-  "views": [
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/inputs/observed_cloud.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/inputs/observed_cloud.npz
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-{
-  "case": "session_20260921_233350_440979",
-  "grid_sample": 0,
-  "views": [
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-      "serial": "12540311",
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-      "serial": "17736741",
-      "native_frame": 0,
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-  "observed_points": 22415,
-  "mask_erosion_px": 2
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/manifest.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/manifest.json
deleted file mode 100644
index 71504a3995a7e62a54b4eb62a36ea140ec42568d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/manifest.json
+++ /dev/null
@@ -1,887 +0,0 @@
-{
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-  "code": {
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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-    "colors": {
-      "status": "ok",
-      "settings": {
-        "depth_tolerance_m": 0.025
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-      "outputs": {
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-        "two_sided": false,
-        "depth_tolerance_m": 0.025,
-        "first_hit_tolerance_m": 0.0002,
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-            "projected_inside": 1728,
-            "first_hit": 927
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-            "observed_vertices": 417,
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-            "first_hit": 914
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-          {
-            "view": 2,
-            "serial": "17736741",
-            "observed_vertices": 617,
-            "projected_inside": 1728,
-            "first_hit": 925
-          },
-          {
-            "view": 3,
-            "serial": "23007103",
-            "observed_vertices": 557,
-            "projected_inside": 1728,
-            "first_hit": 917
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-        "observed_vertices": 1037,
-        "filled_vertices": 691,
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-          "uv_count": 0,
-          "vertex_reordered_on_open3d_load": true
-        },
-        "files": {
-          "colors/vertex_colors.npz": "1a7d0ac0910ac34436fe019bb1f96edb608f18c639370de3ffa31877c8f1665d",
-          "colors/color_summary.json": "40e50752c6385066a0a54be476ec89cea924704d6f681ad3f028eb31be970549",
-          "tube/shape_prior.glb": "49e2bb8fe884a6b67ba3bfa46b46d6f594f2ac151a4809b09c8db24b8b2ac3f9",
-          "tube/tube.ply": "c1477520f43c55185f61b23359d1dadec01e46d93ab8f032fcc6ac2499ac9529",
-          "gaussian_data/session_20260921_233350_440979/shape_prior.glb": "49e2bb8fe884a6b67ba3bfa46b46d6f594f2ac151a4809b09c8db24b8b2ac3f9"
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-      "settings": {
-        "correction": "none",
-        "annulus_px": [
-          20,
-          80
-        ]
-      },
-      "outputs": {
-        "report": {
-          "annulus_px": [
-            20,
-            80
-          ],
-          "interior_erosion_px": 2,
-          "correction_applied": false,
-          "views": [
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-              "serial": "12540311",
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-        "object": {
-          "name": "bike_chain",
-          "representation": "tube",
-          "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-          "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
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-          "ribbon_width_m": null,
-          "step_t": 0.125,
-          "step_angle_deg": 30,
-          "u_resolution": null,
-          "overlap_rule": "surface_intersection",
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-        "control_count": 18,
-        "relative_loss_tolerance": 1e-07,
-        "reprojection": {
-          "weight": 4.0,
-          "direction": "visible mask pixels to projected centerline",
-          "ribbon_twist_stage": null,
-          "mask": "accepted object outside hand/occluder union",
-          "view_aggregation": "equal view means",
-          "distance": "metric image plane using per-view median visible belt depth and fx/fy",
-          "samples": 360,
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-          "baseline_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection.json
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-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection_comparison.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection_comparison.json
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-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection_residuals.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/reprojection_residuals.npz
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deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/rounds.jsonl
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@@ -1 +0,0 @@
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_fit.json
deleted file mode 100644
index 1ab2d68e2ca899a0a6774ec6bba88c2a2dde483d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_fit.json
+++ /dev/null
@@ -1,98 +0,0 @@
-{
-  "version": 1,
-  "M": 18,
-  "basis_function": "JaxB3",
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-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_init.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_init.json
deleted file mode 100644
index bc37b8ff8dfffb794ae98cd735176a6903148c03..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/spline/spline_init.json
+++ /dev/null
@@ -1,98 +0,0 @@
-{
-  "version": 1,
-  "M": 18,
-  "basis_function": "JaxB3",
-  "closed": true,
-  "control_points": [
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-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/colors.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/colors.json
deleted file mode 100644
index a5a3bb6b2bfac06c97cdc9ae2ac2b213f8cdfa6d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/colors.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "depth_tolerance_m": 0.025
-  },
-  "outputs": {
-    "rule": "native sRGB/255, cosine weighted over mask/depth/first-hit visible views",
-    "two_sided": false,
-    "depth_tolerance_m": 0.025,
-    "first_hit_tolerance_m": 0.0002,
-    "per_view": [
-      {
-        "view": 0,
-        "serial": "12540311",
-        "observed_vertices": 592,
-        "projected_inside": 1728,
-        "first_hit": 927
-      },
-      {
-        "view": 1,
-        "serial": "12933256",
-        "observed_vertices": 417,
-        "projected_inside": 1728,
-        "first_hit": 914
-      },
-      {
-        "view": 2,
-        "serial": "17736741",
-        "observed_vertices": 617,
-        "projected_inside": 1728,
-        "first_hit": 925
-      },
-      {
-        "view": 3,
-        "serial": "23007103",
-        "observed_vertices": 557,
-        "projected_inside": 1728,
-        "first_hit": 917
-      }
-    ],
-    "observed_vertices": 1037,
-    "filled_vertices": 691,
-    "fill_color_rgb": [
-      0.19215686274509805,
-      0.14901960784313725,
-      0.1404657230738269
-    ],
-    "glb_roundtrip": {
-      "float32_positions_exact": true,
-      "vertex_colors_exact": true,
-      "uv_count": 0,
-      "vertex_reordered_on_open3d_load": true
-    },
-    "files": {
-      "colors/vertex_colors.npz": "1a7d0ac0910ac34436fe019bb1f96edb608f18c639370de3ffa31877c8f1665d",
-      "colors/color_summary.json": "40e50752c6385066a0a54be476ec89cea924704d6f681ad3f028eb31be970549",
-      "tube/shape_prior.glb": "49e2bb8fe884a6b67ba3bfa46b46d6f594f2ac151a4809b09c8db24b8b2ac3f9",
-      "tube/tube.ply": "c1477520f43c55185f61b23359d1dadec01e46d93ab8f032fcc6ac2499ac9529",
-      "gaussian_data/session_20260921_233350_440979/shape_prior.glb": "49e2bb8fe884a6b67ba3bfa46b46d6f594f2ac151a4809b09c8db24b8b2ac3f9"
-    }
-  },
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 1.133122444152832
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/diagnose-depth.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/diagnose-depth.json
deleted file mode 100644
index 2fde307275dfcbf1c33849fe24eb51bce4feffaa..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/diagnose-depth.json
+++ /dev/null
@@ -1,110 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "correction": "none",
-    "annulus_px": [
-      20,
-      80
-    ]
-  },
-  "outputs": {
-    "report": {
-      "annulus_px": [
-        20,
-        80
-      ],
-      "interior_erosion_px": 2,
-      "correction_applied": false,
-      "views": [
-        {
-          "view": 0,
-          "serial": "12540311",
-          "annulus_count": 62964,
-          "belt_interior_count": 7620,
-          "belt_edge_count": 2750,
-          "table_median_z_m": -7.655212073059969e-05,
-          "belt_interior_median_z_m": 0.01055925031413879,
-          "belt_edge_median_z_m": 0.00024912902950402493,
-          "belt_minus_table_m": 0.01063580243486939,
-          "edge_minus_table_m": 0.00032568115023462463,
-          "table_p10_p90_z_m": [
-            -0.001958645012908189,
-            0.0011031486467430573
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-          "belt_interior_p10_p90_z_m": [
-            0.00037109482275370374,
-            0.015236898731755622
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-        },
-        {
-          "view": 1,
-          "serial": "12933256",
-          "annulus_count": 43337,
-          "belt_interior_count": 4253,
-          "belt_edge_count": 1729,
-          "table_median_z_m": -0.0009368307413537558,
-          "belt_interior_median_z_m": 0.005894032159887264,
-          "belt_edge_median_z_m": 0.000950817590460673,
-          "belt_minus_table_m": 0.006830862901241019,
-          "edge_minus_table_m": 0.0018876483318144288,
-          "table_p10_p90_z_m": [
-            -0.0016646231352850816,
-            -0.0003330011544799169
-          ],
-          "belt_interior_p10_p90_z_m": [
-            0.0013929230206320311,
-            0.00885023143788315
-          ]
-        },
-        {
-          "view": 2,
-          "serial": "17736741",
-          "annulus_count": 64210,
-          "belt_interior_count": 7178,
-          "belt_edge_count": 2939,
-          "table_median_z_m": 0.0013811225349885103,
-          "belt_interior_median_z_m": 0.011255177064247501,
-          "belt_edge_median_z_m": 0.001770530286694716,
-          "belt_minus_table_m": 0.009874054529258991,
-          "edge_minus_table_m": 0.00038940775170620556,
-          "table_p10_p90_z_m": [
-            0.00013622346882600223,
-            0.0025687680789306944
-          ],
-          "belt_interior_p10_p90_z_m": [
-            0.002513644893010925,
-            0.014696697391169756
-          ]
-        },
-        {
-          "view": 3,
-          "serial": "23007103",
-          "annulus_count": 42176,
-          "belt_interior_count": 4322,
-          "belt_edge_count": 2086,
-          "table_median_z_m": -3.088470725581827e-05,
-          "belt_interior_median_z_m": 0.008122605762869106,
-          "belt_edge_median_z_m": 0.0017639871212786762,
-          "belt_minus_table_m": 0.008153490470124924,
-          "edge_minus_table_m": 0.0017948718285344945,
-          "table_p10_p90_z_m": [
-            -0.0006555988662426682,
-            0.001863406973073245
-          ],
-          "belt_interior_p10_p90_z_m": [
-            0.0021249908671892802,
-            0.010988996893434166
-          ]
-        }
-      ]
-    },
-    "files": {
-      "inputs/depth_offset_diagnostic.json": "860e3cfcf72860a1d3fb44c195f0289846db5b6090842caee5adf58d001fef74"
-    }
-  },
-  "code": {
-    "commit": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 0.3075852394104004
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/fit.json
deleted file mode 100644
index 7cf95e54c80a7bbd6538c0d6d10f3182d656e04a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/fit.json
+++ /dev/null
@@ -1,215 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "object": {
-      "name": "bike_chain",
-      "representation": "tube",
-      "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-      "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
-      "radius_m": 0.00475,
-      "ribbon_width_m": null,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "u_resolution": null,
-      "overlap_rule": "surface_intersection",
-      "twist_penalty": null
-    },
-    "max_rounds": 400,
-    "control_count": 18,
-    "relative_loss_tolerance": 1e-07,
-    "reprojection": {
-      "weight": 4.0,
-      "direction": "visible mask pixels to projected centerline",
-      "ribbon_twist_stage": null,
-      "mask": "accepted object outside hand/occluder union",
-      "view_aggregation": "equal view means",
-      "distance": "metric image plane using per-view median visible belt depth and fx/fy",
-      "samples": 360,
-      "huber_delta_m": 0.005,
-      "smooth_cap_m": 0.035,
-      "baseline_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-    },
-    "loss_config": {
-      "eval_distances": true,
-      "max_saturation_distance": 0.035,
-      "distance_huber_delta": 0.005,
-      "eval_curvature_cost": true,
-      "num_eval_reg_points": 250,
-      "lambda_curvature_cost": 5e-10,
-      "max_curvature": 10.0,
-      "curvature_huber_delta": 30.0,
-      "max_saturation_curvature": 80.0,
-      "eval_curvilinear_energy": false,
-      "lambda_curvilinear_energy": 0.001,
-      "eval_length_constraint": true,
-      "lambda_length_constraint": 0.1,
-      "arclength_bounds": [
-        0.5830000042915344,
-        0.5849999785423279
-      ]
-    },
-    "solver_config": {
-      "solver_type": "lbfgs",
-      "linesearch_type": "zoom",
-      "max_linesearch_steps": 10,
-      "grad_norm_tolerance": 0.0001,
-      "max_iter": 25
-    },
-    "ribbon_twist_refinement": null
-  },
-  "outputs": {
-    "filter": {
-      "method": "Open3D.remove_statistical_outlier",
-      "nb_neighbors": 20,
-      "std_ratio": 2.0,
-      "input_count": 23373,
-      "kept_count": 22415,
-      "removed_count": 958,
-      "per_view": [
-        {
-          "view": 0,
-          "input": 7620,
-          "kept": 7290,
-          "removed": 330,
-          "live_20_0.05_kept": 5404,
-          "no_filter_kept": 7620
-        },
-        {
-          "view": 1,
-          "input": 4253,
-          "kept": 4154,
-          "removed": 99,
-          "live_20_0.05_kept": 2921,
-          "no_filter_kept": 4253
-        },
-        {
-          "view": 2,
-          "input": 7178,
-          "kept": 6985,
-          "removed": 193,
-          "live_20_0.05_kept": 4904,
-          "no_filter_kept": 7178
-        },
-        {
-          "view": 3,
-          "input": 4322,
-          "kept": 3986,
-          "removed": 336,
-          "live_20_0.05_kept": 1070,
-          "no_filter_kept": 4322
-        }
-      ]
-    },
-    "rounds": 1,
-    "stop": "gradient_tolerance",
-    "final": {
-      "loss": 5.9031030104961246e-05,
-      "components": {
-        "distance": 2.2463513232651167e-05,
-        "curvature": 4.391957375560196e-08,
-        "arclength": 4.9960036108132044e-09,
-        "mask_reprojection_2d": 3.651859879028052e-05
-      },
-      "grad_norm": 8.475646609440446e-05,
-      "arclength_m": 0.5852234959602356,
-      "arclength_bound_active_within_1mm": true,
-      "max_curvature_per_m": 77.98448944091797,
-      "curvature_p50_p90_per_m": [
-        11.468396186828613,
-        42.086771392822264
-      ],
-      "curvature_above_max_fraction": 0.564,
-      "mean_distance_m": 0.0070839541500012865,
-      "max_distance_m": 0.022682657465338707,
-      "beyond_2delta_fraction": 0.12933303591345083,
-      "at_cap_fraction": 0.0,
-      "per_view": [
-        {
-          "view": 0,
-          "count": 7290,
-          "median_m": 0.007497706217691302,
-          "p90_m": 0.011154823936522007,
-          "max_m": 0.014353872276842594,
-          "beyond_2delta_fraction": 0.200960219478738,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 4154,
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/hybrid.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/hybrid.json
deleted file mode 100644
index c68fab554a661f9cbc50ffbb17557a374af32e75..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/hybrid.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/inputs.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/inputs.json
deleted file mode 100644
index 47c8737fc9d3cf901c0ba4e029cff2cc3ef53cfa..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/inputs.json
+++ /dev/null
@@ -1,216 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/review.json
deleted file mode 100644
index a628232a73941596b8caad63917687bc45d388d8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/review.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
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-    "historical_sha256": null,
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/tube.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/tube.json
deleted file mode 100644
index 99529c2eee9e4ba615b91c477de8dea7ea201522..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/steps/tube.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/tube/geometry.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-lower-curvature-v2/native/tube/geometry.npz
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/colors/color_summary.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/colors/color_summary.json
deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/colors/color_summary.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/colors/vertex_colors.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/colors/vertex_colors.npz
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+++ /dev/null
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/full_prior_complete.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/full_prior_complete.json
deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/full_prior_complete.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/hybrid/populations.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/hybrid/populations.npz
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/spline/spline_fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/spline/spline_fit.json
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/colors.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/colors.json
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+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/fit.json
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+++ /dev/null
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-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/hybrid.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/hybrid.json
deleted file mode 100644
index fab3ecdaab208bd6c338d879953dbfeb0d7b9d04..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/hybrid.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
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-    "numpy_seed": 0,
-    "points_per_triangle": 30
-  },
-  "outputs": {
-    "counts": {
-      "observed": 22415,
-      "mesh": 103680,
-      "total": 126095,
-      "mesh_to_observed": 4.625474012937765
-    },
-    "files": {
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-  "code": {
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/review.json
deleted file mode 100644
index d8a2174d9d522320bb19b4cc734e69e3c5d519c4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/review.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "historical_prior": null,
-    "historical_sha256": null,
-    "baseline_fit": null
-  },
-  "outputs": {
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/tube.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/tube.json
deleted file mode 100644
index e469c59a4e940de93690c2c5444604527d315d1c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/steps/tube.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "radius_m": 0.00475,
-    "step_t": 0.125,
-    "step_angle_deg": 30
-  },
-  "outputs": {
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 3.956278791192756e-05,
-      "minimum_outward_normal_dot_m": 0.00455353984958401,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 7.689644228661696e-09,
-      "maximum_diameter_error_m": 1.5348802845024934e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.004108392938893334,
-      "triangle_area_m2": {
-        "min": 2.152043776562718e-06,
-        "median": 5.102835213310572e-06,
-        "mean": 4.992817718519569e-06,
-        "max": 7.559738818039819e-06,
-        "density_max_over_min": 3.512818326639417
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-      "bounds_m": [
-        [
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-          -0.1839023381471634,
-          -0.0014119537081569433
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-        [
-          0.14597740769386292,
-          -0.013479825109243393,
-          0.022065378725528717
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-      ],
-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
-    },
-    "vertex_count": 1728,
-    "triangle_count": 3456,
-    "files": {
-      "tube/tube_checks.json": "b571c217a17fc64f28ca4833de161dc0dce12f455e1ceba2aabbef346a0fd4e7",
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-      "tube/geometry.npz": "634527fe727bf5477f3a893c503402242ecf8d9ba97d6a289cc819ff630acdc0"
-    }
-  },
-  "code": {
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 3.3168327808380127
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/geometry.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/geometry.npz
deleted file mode 100644
index a96acd9c6885ff763abe9324c7983f411ea8b10d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/geometry.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:634527fe727bf5477f3a893c503402242ecf8d9ba97d6a289cc819ff630acdc0
-size 170348
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/triangle_areas.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/triangle_areas.npz
deleted file mode 100644
index 599451fe8d5524984c809ff55512ea0df82518ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/triangle_areas.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:30ca61cdd6d683db8adfac2abb8bc0d5654ebf7ffd668eaae8b2e97885acadd3
-size 27916
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/tube.ply b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/tube.ply
deleted file mode 100644
index 46a46c96b78cccf2a26e91d0f3ae3013f692d5ac..0000000000000000000000000000000000000000
Binary files a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-m18-lowcurvature-v1/native/tube/tube.ply and /dev/null differ
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/color_summary.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/color_summary.json
deleted file mode 100644
index b0d9921327442bdee45b36455cd603a7840b8108..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/color_summary.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
-  "rule": "native sRGB/255, cosine weighted over mask/depth/first-hit visible views",
-  "two_sided": false,
-  "depth_tolerance_m": 0.025,
-  "first_hit_tolerance_m": 0.0002,
-  "per_view": [
-    {
-      "view": 0,
-      "serial": "12540311",
-      "observed_vertices": 615,
-      "projected_inside": 1728,
-      "first_hit": 925
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-    {
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-      "serial": "12933256",
-      "observed_vertices": 423,
-      "projected_inside": 1728,
-      "first_hit": 916
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-    {
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-      "serial": "17736741",
-      "observed_vertices": 627,
-      "projected_inside": 1728,
-      "first_hit": 911
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-    {
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-      "serial": "23007103",
-      "observed_vertices": 550,
-      "projected_inside": 1728,
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-  "observed_vertices": 1030,
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-    0.13333333333333333
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-  "glb_roundtrip": {
-    "float32_positions_exact": true,
-    "vertex_colors_exact": true,
-    "uv_count": 0,
-    "vertex_reordered_on_open3d_load": true
-  }
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/vertex_colors.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/vertex_colors.npz
deleted file mode 100644
index ae1259e1c4e3d6453498ee57eb12b440e2b14589..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/colors/vertex_colors.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:50b7b9119c965a1464048960e1be4cea9b5553932cb21ca98aa2f01adb782938
-size 56328
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors.log
deleted file mode 100644
index 6259c2219f9d2fccc69a0fa5596136d63530951b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors.log
+++ /dev/null
@@ -1 +0,0 @@
-colors: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/colors.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_argv.json
deleted file mode 100644
index e1bda49ae2930e0e313d017da9b7cb5f07a0c998..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "colors",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:37.401174+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_result.json
deleted file mode 100644
index 82be8a0882d7ff9b19629b6cdb08ee04b2461b5b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_colors_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 2.596737204003148,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit.log
deleted file mode 100644
index bd2a31834f2271bf4fcde3da0c03f7c401c55027..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit.log
+++ /dev/null
@@ -1,43 +0,0 @@
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/fit.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_argv.json
deleted file mode 100644
index 5d432d2496586f9d0afd9c4c725dda06e3690ff7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_argv.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "8.0",
-    "--baseline-run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "--chain-curvature-weight",
-    "5e-09",
-    "--chain-control-count",
-    "18"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:09.567754+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_result.json
deleted file mode 100644
index ed9388d3adc3665ffa9af2955bc1760430f2ddfd..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_fit_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 22.440481073994306,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid.log
deleted file mode 100644
index 126f32c138506c062e6fa561940407def2d66321..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid.log
+++ /dev/null
@@ -1 +0,0 @@
-hybrid: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/hybrid.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_argv.json
deleted file mode 100644
index 275ed85c9aeaf96c672d30e08efc5621dc830ea4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "hybrid",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:39.998144+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_result.json
deleted file mode 100644
index 1157cee45837b07b4db8b5cbb97f54800c4e36b6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_hybrid_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 2.2559706430038204,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest.log
deleted file mode 100644
index 430840cb953b413a45f0c8ceac63ec42ad98599d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/manifest.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_argv.json
deleted file mode 100644
index 0ee4da0730fdc8bb7009139d8abc79575a22f0d7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "manifest",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:54.706734+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_result.json
deleted file mode 100644
index ad315e06e36ee7ccc85881126ebf9603e4f6578f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_manifest_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 1.3236111230071401,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review.log
deleted file mode 100644
index 3637ff3a18e701b086dac9a5349c32ec7a2e756b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review.log
+++ /dev/null
@@ -1 +0,0 @@
-review: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/review.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_argv.json
deleted file mode 100644
index 3b5643c7852b9bf9c8f15c56dd7914d76fde355c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "review",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:42.254322+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_result.json
deleted file mode 100644
index e1af386d2835829e405ae8326c428de979e77ee5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 12.45220019799308,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube.log b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube.log
deleted file mode 100644
index 7bc0388393d7463f588918b9c492c233692a370b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube.log
+++ /dev/null
@@ -1 +0,0 @@
-tube: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/tube.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_argv.json
deleted file mode 100644
index 569a890e25db95e9fa46071ee97c52584325d132..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "tube",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2"
-  ],
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-  "started_utc": "2026-10-28T22:52:32.455166+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_result.json
deleted file mode 100644
index 742be17020cd4e7ad0abdcd9f8ef50485762d369..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/comparison_tube_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s_excluding_queue": 4.945783842005767,
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/full_prior_complete.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/full_prior_complete.json
deleted file mode 100644
index 0925a62fa85bce8a487a128dbbf0bd062b301f0f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/full_prior_complete.json
+++ /dev/null
@@ -1,8 +0,0 @@
-{
-  "case_id": "233350",
-  "candidate": "stronger_reprojection",
-  "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "failed_stage": null,
-  "completed_utc": "2026-10-28T22:52:56.030547+00:00",
-  "source_commit": "98ebffe13629edeb0a9b29df973bebc5730d7026"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/gaussian_data/session_20260921_233350_440979/shape_prior.glb b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/gaussian_data/session_20260921_233350_440979/shape_prior.glb
deleted file mode 100644
index 74836096f7ca0437ba52cdd54cb8369a4de4f102..0000000000000000000000000000000000000000
Binary files a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/gaussian_data/session_20260921_233350_440979/shape_prior.glb and /dev/null differ
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/hybrid/populations.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/hybrid/populations.npz
deleted file mode 100644
index 398b368d7ee88b338d1a2b61aadb5867081925d5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/hybrid/populations.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c33aba4fe16fda993741f1ecbc2c5d8dc4fbb5cb7e6104777cdb865c38e92e72
-size 4809710
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/manifest.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/manifest.json
deleted file mode 100644
index fbf70491c2efb6caf707ad89b87ac6f65fa0cbd4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/manifest.json
+++ /dev/null
@@ -1,887 +0,0 @@
-{
-  "kind": "real_rgbd_appearance_spline_prior_v1",
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "steps": {
-    "colors": {
-      "status": "ok",
-      "settings": {
-        "depth_tolerance_m": 0.025
-      },
-      "outputs": {
-        "rule": "native sRGB/255, cosine weighted over mask/depth/first-hit visible views",
-        "two_sided": false,
-        "depth_tolerance_m": 0.025,
-        "first_hit_tolerance_m": 0.0002,
-        "per_view": [
-          {
-            "view": 0,
-            "serial": "12540311",
-            "observed_vertices": 615,
-            "projected_inside": 1728,
-            "first_hit": 925
-          },
-          {
-            "view": 1,
-            "serial": "12933256",
-            "observed_vertices": 423,
-            "projected_inside": 1728,
-            "first_hit": 916
-          },
-          {
-            "view": 2,
-            "serial": "17736741",
-            "observed_vertices": 627,
-            "projected_inside": 1728,
-            "first_hit": 911
-          },
-          {
-            "view": 3,
-            "serial": "23007103",
-            "observed_vertices": 550,
-            "projected_inside": 1728,
-            "first_hit": 903
-          }
-        ],
-        "observed_vertices": 1030,
-        "filled_vertices": 698,
-        "fill_color_rgb": [
-          0.18992743922091831,
-          0.14788261845512962,
-          0.13333333333333333
-        ],
-        "glb_roundtrip": {
-          "float32_positions_exact": true,
-          "vertex_colors_exact": true,
-          "uv_count": 0,
-          "vertex_reordered_on_open3d_load": true
-        },
-        "files": {
-          "colors/vertex_colors.npz": "50b7b9119c965a1464048960e1be4cea9b5553932cb21ca98aa2f01adb782938",
-          "colors/color_summary.json": "6dc16c8f9768c204ed52a328a22117f1cf272caccf5a9d30f7e0ea1e9d311887",
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deleted file mode 100644
index 437812efb426247ce63a529a7df0b4fbe2ca9a10..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-  "samples": 360,
-  "direction": "visible mask pixels to projected centerline",
-  "per_view": [
-    {
-      "view": 0,
-      "serial": "12540311",
-      "mask_pixels": 10370,
-      "median_depth_m": 1.111,
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-      "outside_mask_fraction": 0.01107011070110701
-    },
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-      "serial": "12933256",
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_comparison.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_comparison.json
deleted file mode 100644
index 0397ed1e135dc71f15ee4aa01f32800c685231ac..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_comparison.json
+++ /dev/null
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-{
-  "baseline_fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/spline/spline_fit.json",
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_residuals.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_residuals.npz
deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/reprojection_residuals.npz
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@@ -1,3 +0,0 @@
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deleted file mode 100644
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--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/residuals.npz
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/rounds.jsonl b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/rounds.jsonl
deleted file mode 100644
index 362a77a6763ba2338990544f46768e5642af1057..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/rounds.jsonl
+++ /dev/null
@@ -1 +0,0 @@
-{"loss": 9.475286060478538e-05, "components": {"distance": 2.489980215614196e-05, "curvature": 4.163993310157821e-07, "arclength": 1.418244743867092e-09, "mask_reprojection_2d": 6.943524203961715e-05}, "grad_norm": 7.425606600008905e-05, "arclength_m": 0.5851190686225891, "arclength_bound_active_within_1mm": true, "max_curvature_per_m": 79.92413330078125, "curvature_p50_p90_per_m": [9.036579608917236, 41.88096885681152], "curvature_above_max_fraction": 0.48, "mean_distance_m": 0.007621072024776594, "max_distance_m": 0.024312755092978477, "beyond_2delta_fraction": 0.20370287753736338, "at_cap_fraction": 0.0, "per_view": [{"view": 0, "count": 7290, "median_m": 0.007933512330055237, "p90_m": 0.012128474935889245, "max_m": 0.015374738723039627, "beyond_2delta_fraction": 0.30356652949245544, "at_cap_fraction": 0.0}, {"view": 1, "count": 4154, "median_m": 0.005080787930637598, "p90_m": 0.0076240714173763996, "max_m": 0.010997118428349495, "beyond_2delta_fraction": 0.007944150216658643, "at_cap_fraction": 0.0}, {"view": 2, "count": 6985, "median_m": 0.007874934002757072, "p90_m": 0.011218605749309064, "max_m": 0.01544024795293808, "beyond_2delta_fraction": 0.23092340730136005, "at_cap_fraction": 0.0}, {"view": 3, "count": 3986, "median_m": 0.007615995826199651, "p90_m": 0.012031114660203457, "max_m": 0.024312755092978477, "beyond_2delta_fraction": 0.17737079779227297, "at_cap_fraction": 0.0}], "round": 1, "relative_loss_change": 0.9772382899752382}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/spline_fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/spline_fit.json
deleted file mode 100644
index 6146848220c22e9837b3461a168275046d147f29..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/spline/spline_fit.json
+++ /dev/null
@@ -1,98 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/colors.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/colors.json
deleted file mode 100644
index 88dc2dd8c9778f8801af90ea23bc0f688a59b01c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/colors.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "depth_tolerance_m": 0.025
-  },
-  "outputs": {
-    "rule": "native sRGB/255, cosine weighted over mask/depth/first-hit visible views",
-    "two_sided": false,
-    "depth_tolerance_m": 0.025,
-    "first_hit_tolerance_m": 0.0002,
-    "per_view": [
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-        "serial": "12540311",
-        "observed_vertices": 615,
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-        "first_hit": 925
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-      {
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-        "serial": "12933256",
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-        "first_hit": 916
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-        "serial": "17736741",
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-        "first_hit": 911
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-        "serial": "23007103",
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-      "uv_count": 0,
-      "vertex_reordered_on_open3d_load": true
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-    "files": {
-      "colors/vertex_colors.npz": "50b7b9119c965a1464048960e1be4cea9b5553932cb21ca98aa2f01adb782938",
-      "colors/color_summary.json": "6dc16c8f9768c204ed52a328a22117f1cf272caccf5a9d30f7e0ea1e9d311887",
-      "tube/shape_prior.glb": "82315b9e177ecd6500d61f6e2d985b9b5529c402e86c68fce6c54f0128efae97",
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-      "gaussian_data/session_20260921_233350_440979/shape_prior.glb": "82315b9e177ecd6500d61f6e2d985b9b5529c402e86c68fce6c54f0128efae97"
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-  "code": {
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\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/fit.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/fit.json
deleted file mode 100644
index 12137ca9192c80aea77e9ee3d61f2b4bcf254961..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/fit.json
+++ /dev/null
@@ -1,215 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "object": {
-      "name": "bike_chain",
-      "representation": "tube",
-      "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-      "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
-      "radius_m": 0.00475,
-      "ribbon_width_m": null,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "u_resolution": null,
-      "overlap_rule": "surface_intersection",
-      "twist_penalty": null
-    },
-    "max_rounds": 400,
-    "control_count": 18,
-    "relative_loss_tolerance": 1e-07,
-    "reprojection": {
-      "weight": 8.0,
-      "direction": "visible mask pixels to projected centerline",
-      "ribbon_twist_stage": null,
-      "mask": "accepted object outside hand/occluder union",
-      "view_aggregation": "equal view means",
-      "distance": "metric image plane using per-view median visible belt depth and fx/fy",
-      "samples": 360,
-      "huber_delta_m": 0.005,
-      "smooth_cap_m": 0.035,
-      "baseline_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-    },
-    "loss_config": {
-      "eval_distances": true,
-      "max_saturation_distance": 0.035,
-      "distance_huber_delta": 0.005,
-      "eval_curvature_cost": true,
-      "num_eval_reg_points": 250,
-      "lambda_curvature_cost": 5e-09,
-      "max_curvature": 10.0,
-      "curvature_huber_delta": 30.0,
-      "max_saturation_curvature": 80.0,
-      "eval_curvilinear_energy": false,
-      "lambda_curvilinear_energy": 0.001,
-      "eval_length_constraint": true,
-      "lambda_length_constraint": 0.1,
-      "arclength_bounds": [
-        0.5830000042915344,
-        0.5849999785423279
-      ]
-    },
-    "solver_config": {
-      "solver_type": "lbfgs",
-      "linesearch_type": "zoom",
-      "max_linesearch_steps": 10,
-      "grad_norm_tolerance": 0.0001,
-      "max_iter": 25
-    },
-    "ribbon_twist_refinement": null
-  },
-  "outputs": {
-    "filter": {
-      "method": "Open3D.remove_statistical_outlier",
-      "nb_neighbors": 20,
-      "std_ratio": 2.0,
-      "input_count": 23373,
-      "kept_count": 22415,
-      "removed_count": 958,
-      "per_view": [
-        {
-          "view": 0,
-          "input": 7620,
-          "kept": 7290,
-          "removed": 330,
-          "live_20_0.05_kept": 5404,
-          "no_filter_kept": 7620
-        },
-        {
-          "view": 1,
-          "input": 4253,
-          "kept": 4154,
-          "removed": 99,
-          "live_20_0.05_kept": 2921,
-          "no_filter_kept": 4253
-        },
-        {
-          "view": 2,
-          "input": 7178,
-          "kept": 6985,
-          "removed": 193,
-          "live_20_0.05_kept": 4904,
-          "no_filter_kept": 7178
-        },
-        {
-          "view": 3,
-          "input": 4322,
-          "kept": 3986,
-          "removed": 336,
-          "live_20_0.05_kept": 1070,
-          "no_filter_kept": 4322
-        }
-      ]
-    },
-    "rounds": 1,
-    "stop": "gradient_tolerance",
-    "final": {
-      "loss": 9.475286060478538e-05,
-      "components": {
-        "distance": 2.489980215614196e-05,
-        "curvature": 4.163993310157821e-07,
-        "arclength": 1.418244743867092e-09,
-        "mask_reprojection_2d": 6.943524203961715e-05
-      },
-      "grad_norm": 7.425606600008905e-05,
-      "arclength_m": 0.5851190686225891,
-      "arclength_bound_active_within_1mm": true,
-      "max_curvature_per_m": 79.92413330078125,
-      "curvature_p50_p90_per_m": [
-        9.036579608917236,
-        41.88096885681152
-      ],
-      "curvature_above_max_fraction": 0.48,
-      "mean_distance_m": 0.007621072024776594,
-      "max_distance_m": 0.024312755092978477,
-      "beyond_2delta_fraction": 0.20370287753736338,
-      "at_cap_fraction": 0.0,
-      "per_view": [
-        {
-          "view": 0,
-          "count": 7290,
-          "median_m": 0.007933512330055237,
-          "p90_m": 0.012128474935889245,
-          "max_m": 0.015374738723039627,
-          "beyond_2delta_fraction": 0.30356652949245544,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 4154,
-          "median_m": 0.005080787930637598,
-          "p90_m": 0.0076240714173763996,
-          "max_m": 0.010997118428349495,
-          "beyond_2delta_fraction": 0.007944150216658643,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 2,
-          "count": 6985,
-          "median_m": 0.007874934002757072,
-          "p90_m": 0.011218605749309064,
-          "max_m": 0.01544024795293808,
-          "beyond_2delta_fraction": 0.23092340730136005,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
-          "count": 3986,
-          "median_m": 0.007615995826199651,
-          "p90_m": 0.012031114660203457,
-          "max_m": 0.024312755092978477,
-          "beyond_2delta_fraction": 0.17737079779227297,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "round": 1,
-      "relative_loss_change": 0.9772382899752382
-    },
-    "deterministic": true,
-    "partial_view_witness": {
-      "source": "synthetic rounded trapezoid, four retained RP2 camera centres",
-      "control_count": 18,
-      "curvature_weight": 5e-09,
-      "seed": 5,
-      "noise_sigma_m": 0.0015,
-      "points": 288,
-      "tube_radius_m": 0.00475,
-      "truth_arclength_m": 0.5839999999999999,
-      "truth_corner_curvature_per_m": 100.0,
-      "fit_arclength_m": 0.5848261713981628,
-      "mean_centerline_distance_to_truth_m": 0.0033057606075813984,
-      "max_centerline_distance_to_truth_m": 0.00574637227071573,
-      "corner_truth_to_fit_mean_max_m": [
-        0.0034471907212280492,
-        0.004112132806429916
-      ],
-      "straight_truth_to_fit_mean_m": 0.0032905154061825467,
-      "fit_max_curvature_per_m": 123.19891357421875,
-      "fit_curvature_nearest_corners_p50_max_per_m": [
-        49.564300537109375,
-        123.19891357421875
-      ],
-      "rounds": 1,
-      "stop": "gradient_tolerance"
-    },
-    "files": {
-      "spline/reprojection_residuals.npz": "e8e0f1f611bcdb3273794d482feacae8cf9e6cd8753f9854f15a2645cef7bba5",
-      "spline/residuals.npz": "dbc97c0289fa1290be2c47ac894d2921d048bef5cd3fada6905e87b364ccd57f",
-      "spline/filtered_cloud.npz": "70d80c1643a2a4f4a6799f2dbfe29cc9a2f9a69530b0dd1aeb77dfed7500d3f1",
-      "spline/spline_init.json": "a31ae13e76d533b82cddcf408c5f865e7af0b32bd0b3bf028b0f9de3ec462aee",
-      "spline/determinism.json": "773d1a02e2924f0d7df2d5d0011979c4e408678ebfdb9633a8348b9788132683",
-      "spline/filter.json": "4d2bee842164b0dd0b8eeab567edd28a02828ab7712e27301104bea7ad1a8cf5",
-      "spline/witness.json": "2e2b05643b7d4b5b27fa363133a00d709afe07cf7bec6b77fdc6a54ed0232924",
-      "spline/filter_removed.npz": "400f4ceb028d0cd46d8e09a54c43ca36d6aceb341fc998fbbde503631071d70f",
-      "spline/spline_fit.json": "5198ecbfa760b2ef777498d71e6767569c20c3c0cc0fa83cc04e5de8bab760c8",
-      "spline/reprojection_comparison.json": "6f8862af63c1e50e455e1f1208293e3c91b5ec594e2fa952e4b6fa7bf16f073c",
-      "spline/rounds.jsonl": "d4289ad48780bf47fe9fccdc4f1bc9d2687608174927f8e8ace2467652e44867",
-      "spline/init_ellipse.json": "27d464a292a3d50a9fa0417ec117ee2b28f13a5f58f401f33f6de218ef265d6f",
-      "spline/reprojection.json": "ce8c525a7e3a93ed4e322951e49d954f11d8ecdc4b33fa7cc621c699ab41b19d"
-    }
-  },
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 20.37205982208252
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/hybrid.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/hybrid.json
deleted file mode 100644
index d5831a4cdbe153570162fdc5b01ff84fac1ce11f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/hybrid.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f",
-    "numpy_seed": 0,
-    "points_per_triangle": 30
-  },
-  "outputs": {
-    "counts": {
-      "observed": 22415,
-      "mesh": 103680,
-      "total": 126095,
-      "mesh_to_observed": 4.625474012937765
-    },
-    "files": {
-      "hybrid/populations.npz": "c33aba4fe16fda993741f1ecbc2c5d8dc4fbb5cb7e6104777cdb865c38e92e72"
-    }
-  },
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 0.8272638320922852
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/review.json
deleted file mode 100644
index 5153ca93805b3409a0a7522330ec92239bab53b5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/review.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "historical_prior": null,
-    "historical_sha256": null,
-    "baseline_fit": null
-  },
-  "outputs": {
-    "review_files": 52,
-    "files": {
-      "review/hybrid/combined.png": "109a5133f3c14c6a0277b7f04ae1db63d198fa30a13b4d43707aac184fec090f",
-      "review/hybrid/mesh.png": "0d786c3d21ed26bc66a2a9c22fc20aae90af0effe088c5887b9a96eb1e4be019",
-      "review/hybrid/observed.png": "2d3da767d7b0c3cef312e5348f9ee232989e16d8e1baf4cc9ca8c953d4751723",
-      "review/tube/tube_profiles.png": "f19706a2fb4d20fc805f2acbe2e2c3f7db26fe735438086c36404f9e5ee9f1a5",
-      "review/tube/silhouette_1_unmasked.png": "06b49795298ac5885cb5379f79c790df803242ae7d8ca32c714c0319c678d90d",
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-      "review/tube/silhouette_2_unmasked.png": "9a1911a2694866e9b59eaa914e92df50d327ad9543f9b7829579786adfee305a",
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-      "review/spline/centerline_2_with_masks.png": "a3a4cfb2bfccd21ae63cd309c4ca8a7c395696e385265816174045f451d9ac7c",
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-      "review/spline/round_curves.png": "4b161dc2dd1e9312ba1a4bd52c66e2b9e2383d2c6f3e3a0954a36680e8c97f4d",
-      "review/spline/curvature_profile.png": "c7643eca8ff2a1a25fccdf6490aa2e0bf0efc44c683da0548861e576e0a31b47",
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-      "review/spline/centerline_3_with_masks.png": "fdf9f2154254df5add4dcb8221bdc240d17d3d0615cfa76f432c8fd86b0bad85",
-      "review/spline/fit_3d.png": "64df1db4a3441fed547417a09fa7bacdfd2541bc699b2ef4fd604ce6d696326a",
-      "review/spline/centerline_0_unmasked.png": "09e79f6c3acdd0c5af2993e4e97aaf69e36ca35157b500365bc51b44e9205703",
-      "review/colors/fill_swatch.txt": "35b5fc512e3b8ad2ab40baaee154bf124131df66478dfe2c65221578e2ede13a",
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-      "review/colors/view_1_visibility.png": "ec2a43f3287af012ee2f21b06026c66999ffa2f013f4a6d6339973a350b00a38",
-      "review/colors/visibility_and_fill.png": "b37a49206a439277ffabe3c6d5a6e601401253f8ad4d5bb1865ba5483157f28f",
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-      "review/colors/fill_swatch.png": "ac720749298f81844d229869f9278d6bc288ab157115f0a8e3c82e22f39d3090",
-      "review/colors/view_3_visibility.png": "22a1591211cee7f8fc2a2725ec71d5db531f34af5a8c7ce6d830a79171043e06",
-      "rerun/appearance_spline_prior.rrd": "88db41234250ee09b5a23a8782d9e1af95f6b8b4fe8874aefb4ab5194b1892b3"
-    }
-  },
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
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-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/tube.json b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/tube.json
deleted file mode 100644
index 55c0c450b7f140675bdb882077e98002912415f1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/steps/tube.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "radius_m": 0.00475,
-    "step_t": 0.125,
-    "step_angle_deg": 30
-  },
-  "outputs": {
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 3.955789510779147e-05,
-      "minimum_outward_normal_dot_m": 0.004555073239229351,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 8.069591304199486e-09,
-      "maximum_diameter_error_m": 1.5562093185275683e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.005790911781101063,
-      "triangle_area_m2": {
-        "min": 2.323553704321123e-06,
-        "median": 5.067165388493385e-06,
-        "mean": 4.992316353555025e-06,
-        "max": 7.387532625378796e-06,
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-      "bounds_m": [
-        [
-          -0.041409850120544434,
-          -0.1842680275440216,
-          -0.0029834769666194916
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-        [
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-          -0.013516617938876152,
-          0.022970059886574745
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-      ],
-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
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-    "vertex_count": 1728,
-    "triangle_count": 3456,
-    "files": {
-      "tube/tube_checks.json": "bb37c50a2a2c6625c2a73a5b0535c385031a276f18cc7492df0a6eef887fb4ca",
-      "tube/triangle_areas.npz": "7ccf818d695ca0b6f6331df8495571571148c25aea4daef433b48bf0000ce2e7",
-      "tube/geometry.npz": "2e4ab2ec9a754db2f4808a164c0582c40f97b83e83c1ffde89732fa59bc23f9b"
-    }
-  },
-  "code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 3.2506752014160156
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/geometry.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/geometry.npz
deleted file mode 100644
index 525e4e725bfbcca47d2e6259bd3db0d25df37cd5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/geometry.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2e4ab2ec9a754db2f4808a164c0582c40f97b83e83c1ffde89732fa59bc23f9b
-size 170348
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/triangle_areas.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/triangle_areas.npz
deleted file mode 100644
index 0638e63a55bd97bba5f138e745490139a830017d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/triangle_areas.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7ccf818d695ca0b6f6331df8495571571148c25aea4daef433b48bf0000ce2e7
-size 27916
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/tube.ply b/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/tube.ply
deleted file mode 100644
index b3b7a6f009f54907463d697c242f91bcaec9bb61..0000000000000000000000000000000000000000
Binary files a/sessions/session_20260921_233350_440979/preprocessing/chain-prior-stronger-reprojection-v2/native/tube/tube.ply and /dev/null differ
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors.log
deleted file mode 100644
index 6b88989754dda8b332868726cd648b5686153fbc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors.log
+++ /dev/null
@@ -1 +0,0 @@
-colors: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/colors.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_argv.json
deleted file mode 100644
index 4ec4fed52a5f27dcb65fb393559d576ce0ee4a36..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "colors",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:45.006008+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_result.json
deleted file mode 100644
index 9ce11ae2df2e6aaf212e9d5952d2c16f0134c6c3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_colors_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.5801406809914624,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth.log
deleted file mode 100644
index c9b5b0e012cdd3af4d1fb02247fb0655cba113fa..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth.log
+++ /dev/null
@@ -1 +0,0 @@
-diagnose-depth: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/diagnose-depth.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_argv.json
deleted file mode 100644
index 97538128083f1ee11987937b7219d600def46948..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "diagnose-depth",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:16.110763+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_result.json
deleted file mode 100644
index 1490998236e81ddf441bcc6bc0c8c30cde61eb84..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_diagnose_depth_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 1.5677661869995063,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit.log
deleted file mode 100644
index dd540668cfd5dfb724520bb96f2f42cf2ef1c87a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit.log
+++ /dev/null
@@ -1,43 +0,0 @@
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-compiling!
-fit: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/fit.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_argv.json
deleted file mode 100644
index fb8767fb3dd7bc1c84a554c88bb96a3fa0eeb686..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_argv.json
+++ /dev/null
@@ -1,35 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "fit",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4",
-    "--chain-control-count",
-    "18",
-    "--chain-curvature-weight",
-    "5e-9"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:17.678944+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_result.json
deleted file mode 100644
index a63294e3ecd9a3b5c2eaf66ed4d25ad20107e5f2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_fit_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 22.309130203007953,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid.log
deleted file mode 100644
index 062f43865f143abaa612eee3c290e3a511604fcb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid.log
+++ /dev/null
@@ -1 +0,0 @@
-hybrid: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/hybrid.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_argv.json
deleted file mode 100644
index 60d55fe90d44fa73bd868d92b4aa4ed6c3996a93..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "hybrid",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:47.586316+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_result.json
deleted file mode 100644
index c99bd723a37ab4b4ead3f5732f3c1b50dbe797cc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_hybrid_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.2458752670063404,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs.log
deleted file mode 100644
index 67782020cc6c7effa8e229160832fc17f4b7c3c2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs.log
+++ /dev/null
@@ -1 +0,0 @@
-inputs: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/inputs.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_argv.json
deleted file mode 100644
index eacb70ed5b76ffcd0a647c5e358688948817ffee..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_argv.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "inputs",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "--object",
-    "bike_chain",
-    "--unfitted-inputs",
-    "--fitting-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/rt3_lifts/fitting/fitting_observations.npz",
-    "--frames-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-    "--depth-source",
-    "waft_stereo_dav2l5",
-    "--mask-erosion-px",
-    "2",
-    "--out",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:14:41.200068+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_result.json
deleted file mode 100644
index aa483cb52dc1b11a7a861067ade63226ef96ef5f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_inputs_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 34.91050139600702,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest.log
deleted file mode 100644
index c741bad0d7d1caa6ac28ae2e1bc2ca82fa3d5037..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/manifest.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_argv.json
deleted file mode 100644
index 7a4fed869976f943f9ba132fb5552c26e97ca103..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "manifest",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:16:02.298454+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_result.json
deleted file mode 100644
index 209dbdf3767a58f74bc5e84cdc1e35ef0f517656..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_manifest_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 1.36235857300926,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review.log
deleted file mode 100644
index c839f32c4e449671029f3ec487b11c76305c3eaa..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review.log
+++ /dev/null
@@ -1 +0,0 @@
-review: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/review.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_argv.json
deleted file mode 100644
index 64d3a7dab6069cae57358724cdfea9558819c697..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "review",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:49.832359+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_result.json
deleted file mode 100644
index cd923361bfc95c8169b70d3a7756fb1b4ab8ed0a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 12.46593309599848,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube.log
deleted file mode 100644
index f92846ec74076512cfe9fe7ed0ef02e60f20a80b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube.log
+++ /dev/null
@@ -1 +0,0 @@
-tube: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/tube.json
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_argv.json
deleted file mode 100644
index 323b21f66852ddd283a73f39d26b4adac8256bc8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-{
-  "argv": [
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py",
-    "tube",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "started_utc": "2026-10-28T22:15:39.988331+00:00"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_result.json
deleted file mode 100644
index 3104b469a2e824249ecbd39dcce30f9b1f323c1f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_prior_tube_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 5.017477997011156,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_complete.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_complete.json
deleted file mode 100644
index 58119fd84918bddfe50dd2f28888ffb85d9d45d7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_complete.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "phase": "reference",
-  "completed_utc": "2026-10-28T22:02:24.875622+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_argv.json
deleted file mode 100644
index 9f139a4824636f04e7d8993a97f73d42815541ea..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_argv.json
+++ /dev/null
@@ -1,35 +0,0 @@
-{
-  "argv": [
-    "flock",
-    "-x",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/prepare_rt3_lifting.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--cotracker-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/query_tracks",
-    "--support-rule",
-    "rt_d7_depth_consistency_v1",
-    "--observations-only",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/rt3_lifts"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T21:56:51.715361+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_result.json
deleted file mode 100644
index 7f682d81e325d19711cd34ea0220d274afa1bc67..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_lift_depth_consistency_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 185.65677309036255,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks.log
deleted file mode 100644
index 6ce1af1034f3a0ed22b309b5ef38101984b2f621..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks.log
+++ /dev/null
@@ -1,8 +0,0 @@
-12540311: tracked 5000 queries
-12933256: tracked 5000 queries
-17736741: tracked 5000 queries
-23007103: tracked 5000 queries
-12540311: members {'object': 875, 'hand_A': 2381, 'hand_B': 1706}
-12933256: members {'object': 732, 'hand_A': 1802, 'hand_B': 2321}
-17736741: members {'object': 761, 'hand_A': 2405, 'hand_B': 1788}
-23007103: members {'object': 834, 'hand_A': 1718, 'hand_B': 2340}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_argv.json
deleted file mode 100644
index 4f1c9aff0b975ad26b27d0d93010ed6ada38e8df..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_argv.json
+++ /dev/null
@@ -1,29 +0,0 @@
-{
-  "argv": [
-    "flock",
-    "-x",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/phystwin_real_rgbd.py",
-    "track",
-    "--session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-    "--frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/per_camera_inputs.json",
-    "--checkpoint",
-    "/mnt/data0/magna/.cache/torch/hub/checkpoints/scaled_online.pth",
-    "--seed",
-    "20260923",
-    "--device",
-    "cuda",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/query_tracks"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T21:42:09.238983+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_result.json
deleted file mode 100644
index 79dec8092a2b656ed7788812daffdc4023a5dabd..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_query_tracks_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 568.1810455322266,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review.log
deleted file mode 100644
index e39442bd2a10d63d0de2905df505537165749d5c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review.log
+++ /dev/null
@@ -1,41 +0,0 @@
-12540311: diagnostics 0/371
-12540311: diagnostics 100/371
-12540311: diagnostics 200/371
-12540311: diagnostics 300/371
-12540311: diagnostics 371/371
-12540311: visual frame 0/371
-12540311: visual frame 100/371
-12540311: visual frame 200/371
-12540311: visual frame 300/371
-12540311: visual frame 371/371
-12933256: diagnostics 0/371
-12933256: diagnostics 100/371
-12933256: diagnostics 200/371
-12933256: diagnostics 300/371
-12933256: diagnostics 371/371
-12933256: visual frame 0/371
-12933256: visual frame 100/371
-12933256: visual frame 200/371
-12933256: visual frame 300/371
-12933256: visual frame 371/371
-17736741: diagnostics 0/371
-17736741: diagnostics 100/371
-17736741: diagnostics 200/371
-17736741: diagnostics 300/371
-17736741: diagnostics 371/371
-17736741: visual frame 0/371
-17736741: visual frame 100/371
-17736741: visual frame 200/371
-17736741: visual frame 300/371
-17736741: visual frame 371/371
-23007103: diagnostics 0/371
-23007103: diagnostics 100/371
-23007103: diagnostics 200/371
-23007103: diagnostics 300/371
-23007103: diagnostics 371/371
-23007103: visual frame 0/371
-23007103: visual frame 100/371
-23007103: visual frame 200/371
-23007103: visual frame 300/371
-23007103: visual frame 371/371
-{"views": {"12540311": {"T": 372, "queries": 5000, "keyframes": [0, 46, 79, 82, 92, 139, 185, 231, 278, 324, 371], "source_seed_counts": {"object": 880, "hand_A": 2396, "hand_B": 1724}, "tap_visible_fraction_min_mean_max": [0.9588, 0.9814940860215053, 1.0], "accepted_object_min_max": [473, 653], "paired_common_min_max": [4024, 4736]}, "12933256": {"T": 372, "queries": 5000, "keyframes": [0, 46, 92, 139, 185, 231, 278, 302, 324, 371], "source_seed_counts": {"object": 748, "hand_A": 1886, "hand_B": 2363}, "tap_visible_fraction_min_mean_max": [0.4446, 0.773141935483871, 1.0], "accepted_object_min_max": [0, 522], "paired_common_min_max": [2245, 4669]}, "17736741": {"T": 372, "queries": 5000, "keyframes": [0, 46, 63, 92, 139, 185, 231, 272, 278, 324, 371], "source_seed_counts": {"object": 763, "hand_A": 2429, "hand_B": 1808}, "tap_visible_fraction_min_mean_max": [0.9682, 0.9874725806451613, 1.0], "accepted_object_min_max": [302, 553], "paired_common_min_max": [4097, 4747]}, "23007103": {"T": 372, "queries": 5000, "keyframes": [0, 46, 92, 139, 172, 185, 231, 278, 322, 324, 371], "source_seed_counts": {"object": 839, "hand_A": 1765, "hand_B": 2395}, "tap_visible_fraction_min_mean_max": [0.8968, 0.9778629032258065, 1.0], "accepted_object_min_max": [218, 598], "paired_common_min_max": [3952, 4639]}}, "complete": true, "observations_only": true, "controller_pool": {"controller_gate_m": 0.04, "participating_hands": ["hand_A", "hand_B"], "survivors": {"12540311": {"hand_A": 856, "hand_B": 305}, "12933256": {"hand_A": 0, "hand_B": 979}, "17736741": {"hand_A": 1138, "hand_B": 658}, "23007103": {"hand_A": 700, "hand_B": 769}}, "pool": {"12540311": {"hand_A": 0, "hand_B": 0}, "12933256": {"hand_A": 0, "hand_B": 0}, "17736741": {"hand_A": 6, "hand_B": 41}, "23007103": {"hand_A": 131, "hand_B": 27}}, "survivor_distance_to_belt_mm_p5_p50_p95": {"hand_A": [39.4, 92.9, 177.4], "hand_B": [52.0, 90.1, 163.8]}, "selected_distance_to_belt_mm_max": 39.458389804415944}, "participating_hands": ["hand_A", "hand_B"], "derived_samples": 373, "observed_object_points": 769, "controls": 30, "controller_initial_distance_m_max": 0.03945838980441595, "selected_controls_per_hand": {"hand_A": 18, "hand_B": 12}}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_argv.json
deleted file mode 100644
index b0b3655c8edb47a17894d7105ca04806e22d910a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_argv.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-  "argv": [
-    "flock",
-    "-x",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/agent_drafts/accepted_batch_recipe/review_reference_case.py",
-    "--case",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "--session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-    "--frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-    "--prep",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1",
-    "--participating-hand",
-    "hand_A",
-    "--participating-hand",
-    "hand_B",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T21:59:57.433674+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_result.json
deleted file mode 100644
index fe54c454bcc9700c489133f91340299042ffcfe1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 147.378080368042,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks.log
deleted file mode 100644
index 4d0667005e6f71d0c47bae9f66c23b7cbeccb8d8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks.log
+++ /dev/null
@@ -1,6 +0,0 @@
-/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/lib/python3.11/site-packages/torch/functional.py:505: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4381.)
-  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
-12540311: saved 372 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz
-12933256: saved 372 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz
-17736741: saved 372 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz
-23007103: saved 372 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_argv.json
deleted file mode 100644
index 84e435cf36eba6fd6a43e702941ea0cd9f426c4f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_argv.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-  "argv": [
-    "flock",
-    "-x",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-    "uv",
-    "run",
-    "--no-sync",
-    "python",
-    "-B",
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/run_rt2_tapnextpp_tracks.py",
-    "--result-root",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-    "--saved-query-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/query_tracks",
-    "--checkpoint",
-    "/mnt/data2/magna/belt_perception/results/phystwin_real_rgbd/session_20260921_225630_786148/rt_waft_tapnextpp_refit_01/checkpoints/tapnextpp_512.ckpt",
-    "--device",
-    "cuda",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks"
-  ],
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T21:51:38.239313+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_result.json
deleted file mode 100644
index 7f7e04ac3a012ad9ebb2daffe075875edeb9ebf7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/batch_reference_tapnextpp_tracks_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 313.3605868816376,
-  "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/chain_prior_revocation_preparation_state_20261028.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/chain_prior_revocation_preparation_state_20261028.json
deleted file mode 100644
index a6b3b50c4bd7b31128d7501032e2084e16b1d2ac..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/chain_prior_revocation_preparation_state_20261028.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-  "owner_revocation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_prior_revocation_20261028.json",
-  "stage_snapshot": {
-    "appearance_check_v1": {
-      "state": "not started"
-    },
-    "appearance_train_v1": {
-      "state": "not started"
-    },
-    "appearance_review_v1": {
-      "state": "not started"
-    },
-    "mech_v2": {
-      "state": "not started"
-    },
-    "mech_v3": {
-      "state": "not started"
-    },
-    "mech_center_v3": {
-      "state": "not started"
-    },
-    "mech_supervision": {
-      "state": "not started"
-    },
-    "mech_center_supervision": {
-      "state": "not started"
-    }
-  },
-  "completed_and_partial_outputs": "preserved without deletion or retry"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12540311/inspection/frames.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12540311/inspection/frames.npz
deleted file mode 100644
index fd2a42026f64c3b3fc3f052aa09db4dd2e83b48a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12540311/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d2c9b3f290b737635ed209ff9ced770d38ed0832741e91065d79ee8dd4387dc4
-size 93784
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12933256/inspection/frames.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12933256/inspection/frames.npz
deleted file mode 100644
index 4d526ea8cb2452f676b74c8b361665140972f334..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/12933256/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:89157707e50b5ff6292b6e07dd06db7388f0cfdee4a2b252deb34b95ba7182a0
-size 93784
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/17736741/inspection/frames.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/17736741/inspection/frames.npz
deleted file mode 100644
index 17dc21ee6f97b9d95e2a57686c5edd1b5a6ccc78..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/17736741/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ea83d3c91117acaf658860eb13caefc25b996548a69699be35a288d8b53793bc
-size 93784
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/23007103/inspection/frames.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/23007103/inspection/frames.npz
deleted file mode 100644
index 5c56eb2f8ad63e33c761347346db45aa7fa728fc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/cameras/23007103/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0c8aff30ba22897e806b1847f3a0b7307da29366e75a254a3380d09aa758ab9e
-size 93784
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/per_camera_inputs.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/per_camera_inputs.json
deleted file mode 100644
index 1c142078f77213b49d86b2a53b1ecbf68fac6d62..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/frames_waft/per_camera_inputs.json
+++ /dev/null
@@ -1,33 +0,0 @@
-{
-  "annotation_ns": [
-    1790048068527115074,
-    1790048080936730404
-  ],
-  "anchor_view": 0,
-  "cameras": [
-    {
-      "view_index": 0,
-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/cameras/12540311/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311"
-    },
-    {
-      "view_index": 1,
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/cameras/12933256/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256"
-    },
-    {
-      "view_index": 2,
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/cameras/17736741/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741"
-    },
-    {
-      "view_index": 3,
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/cameras/23007103/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index 0d57f91900e677a9b2987b67188fe5b32c447470..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,73 +0,0 @@
-# session_20260921_233350_440979 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent numerical and visual review is complete. This candidate is not accepted; all old chain-prior acceptances remain revoked. This packet reports the observations and tradeoffs below and grants no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 359 / 360 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_0_12540311.png>) |
-| 12933256 | 0 / 358 / 359 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 359 / 360 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 358 / 359 | [centerline](<../prior_chain_lower_curvature_v2/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_chain_lower_curvature_v2/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_chain_lower_curvature_v2/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_chain_lower_curvature_v2/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_chain_lower_curvature_v2/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_chain_lower_curvature_v2/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_chain_lower_curvature_v2/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_chain_lower_curvature_v2/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.223 mm**, maximum curvature **77.984/m**, final gradient norm **8.47565e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.224 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_chain_lower_curvature_v2/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 7.498 / 11.155 | 99.63% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 4.821 / 7.528 | 96.92% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 7.063 / 10.263 | 97.88% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 7.189 / 10.692 | 98.87% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **22415 of 23373** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **4**.
-
-Appearance initialization contains **22415 observed + 103680 mesh-derived = 126095 seeds**. Vertex colors are observed for 1037 mesh vertices and median-filled for 691. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../prior_chain_lower_curvature_v2/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_chain_lower_curvature_v2/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Full saved 30 Hz observations](<../review_v1/derived/derived_30hz_xyz.mp4>)
-
-[Manifest](<../prior_chain_lower_curvature_v2/manifest.json>) · [Fit settings and metrics](<../prior_chain_lower_curvature_v2/steps/fit.json>) · [Reference observations](<../prior_chain_lower_curvature_v2/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The agent inspected 21 actual initial-prior panels and 9 orbit samples. [Exact findings and paired metrics](<agent_findings.json>) retain the coverage. No owner approval, case status, mechanics or appearance authorization is changed.
-
-## Comparison with the retained M18 baseline
-
-Both owner-authorized candidates are complete and reviewed. **Neither is accepted, and all old chain-prior acceptances remain revoked.** Lower curvature uses M18 / 5e-10 / reprojection 4; stronger reprojection uses M18 / 5e-9 / reprojection 8. Every other fit, input and geometry setting matches the designated baseline.
-
-| Run | Mean 2D distance (mm) | Mean 3D distance (mm) | Length (mm) | Soft upper excess (mm) | Max curvature (/m) | Surface z range (mm) |
-|---|---:|---:|---:|---:|---:|---|
-| retained_M18_baseline | 3.798174 | 7.080405 | 585.177660 | 0.177681 | 76.955490 | -1.411954 to 22.065379 |
-| lower_curvature | 3.799692 | 7.083954 | 585.223496 | 0.223517 | 77.984489 | -1.413506 to 22.151601 |
-| stronger_reprojection | 3.702846 | 7.621072 | 585.119069 | 0.119090 | 79.924133 | -2.983477 to 22.970060 |
-
-Reducing curvature weight from 5e-9 to 5e-10 leaves visible geometry and common raw residuals nearly unchanged under the unchanged solver. Mean 2D distance changes from 3.798174 to 3.799692 mm; mean 3D distance from 7.080405 to 7.083954 mm. Soft upper-length excess grows from 0.177681 to 0.223517 mm. These small changes do not show an improvement for this case.
-
-Doubling reprojection weight improves mean mask-to-centerline distance in every camera, with the equal-view mean falling from 3.798174 to 3.702846 mm. Pooled lifted-point distance to the centerline increases from 7.080405 to 7.621072 mm. Soft upper-length excess decreases to 0.119090 mm, while minimum surface z shifts from -1.411954 to -2.983477 mm. This is an image/depth tradeoff with a changed height profile, not demonstrated physical accuracy or a global winner.
-
-The 2D metric is the equal-view mean visible-mask-pixel distance to the projected centerline; it is not silhouette IoU. The 3D metric is pooled lifted-point distance to the centerline; it is not tube-surface error or ground-truth accuracy. Differently weighted total objectives are not ranked. The results have no new noise or significance bound.
-
-Both candidates follow the broad, rounded rectangular chain loop in all four views. Closures across both grasping hands remain inferred; camera 12933256 has substantial foreground hand, forearm and sleeve occlusion. Projection across a hand is not direct evidence of the hidden chain contour or of physical hand penetration.
-
-The baseline and both candidates have very similar visible corners and exposed arcs. Lower curvature gives no clear visual improvement; stronger reprojection produces modest shifts of exposed arcs and inferred closures. Neither candidate resolves hidden-shape uncertainty or explicitly represents individual chain links.
-
-Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations.
-
-The circular tube radius remains 4.75 mm. Ring samples are cross-sections of a continuous approximation, not rollers, link plates, gaps or joint articulation. Colors remain median-filled on the underside and occluded sections. Object-to-local-table depth offsets are retained without correction. The saved surface extends below z=0 in all three runs (most in stronger reprojection), so this prior review does not establish table-contact feasibility.
-
-This candidate stops after 1 outer round(s) at `gradient_tolerance`, gradient norm 8.4756466e-05. Soft length and curvature thresholds remain penalties, not hard feasibility limits. Its tube has 144 rings, 1728 vertices and 3456 triangles at 4.75 mm radius; the saved surface-intersection checks pass. Colors are observed for 1037 vertices and median-filled for 691. Hybrid seeds remain 22,415 observed + 103,680 mesh-derived = 126,095; these are appearance seeds, not mechanical particles or mass.
-
-Actual inspection covered 21 panels per candidate: four inputs, four masked centerlines, eight masked/unmasked silhouettes, and scale/depth cloud, depth offset, residual histograms, colors/fill, hybrid populations. Nine orbit samples 0, 4, 8, 13, 17, 21, 26, 30, 35 of 36 at 12 fps were inspected per candidate. The four retained baseline centerline overlays were also inspected. This is bounded sampled viewing, not continuous playback.
-
-Both hands are represented by 30 measured controls (18 hand_A, 12 hand_B), selected from 205 eligible candidates after the inclusive initial 4 cm gate; maximum initial distance is 39.458390 mm. The retained reference review records zero camera 12933256 object support at native-relative frames 139–192 and 293–325, and zero hand_A support at 152–187 and 302–321. Its 83 nonfinite coverage entries remain unfilled; paired native-minus-WAFT p95 reaches +274.4 mm at frame 296 on common support, including hands. Camera 23007103 falls to 218 object points at frame 322. Later derived samples contain partial arcs and isolated points. The reference review inspected 16 samples per video; this initial-prior review grants no full-sequence physical-fitting clearance. [Reference review](<../review_v1/REVIEW.md>). These initial priors do not clear later observations for physical fitting.
-
-[Other candidate](<../prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md>) · [Numerical checks](<numeric_prior_review.json>) · [Exact visual findings](<agent_findings.json>).
-
-All six scientific stages and the single explicit-run packager/check returned zero. All 27 reused input payloads match the designated baseline byte-for-byte, and the copied inputs exclude the derived shape GLB. Both designated old M18 baseline fits and manifests remain unchanged. Saved controls and all seven numerical array families are finite; per-view residual quantiles, geometry radius/bounds, vertex colors and hybrid correspondence were checked. Only the assigned new review packets and unique scratch were written; no source, scientific product, global status or owner record was changed.
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json
deleted file mode 100644
index 3b23b782a4350ff0db8e9ae9d8c9c18977df66f6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/agent_findings.json
+++ /dev/null
@@ -1,1971 +0,0 @@
-{
-  "case_id": "233350",
-  "candidate": "lower_curvature",
-  "reviewed_utc": "2026-10-28T22:57:10.435141+00:00",
-  "scope": {
-    "goal": "Review both owner-authorized parameter candidates and compare with the retained M18 prior",
-    "done_when": "Per candidate: six science results zero, one package/check,21 actual panels+9 orbit samples, numerical identity/geometry checks and paired findings",
-    "non_goals": [
-      "No science execution or modified scientific products",
-      "No global selection or restoration of revoked acceptances",
-      "No mechanics, trained appearance or physical fitting"
-    ],
-    "validation": "Saved stage results, exact requested settings and unchanged remaining settings, 27 input-byte comparisons, both designated baseline identities, numerical arrays, actual images, and linked packet"
-  },
-  "job": {
-    "case_id": "233350",
-    "session_id": "session_20260921_233350_440979",
-    "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1",
-    "candidate": "lower_curvature",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-    "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_chain_lower_curvature_v2",
-    "baseline": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "settings": {
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
-      "reprojection_weight": 4.0
-    },
-    "baseline_manifest_sha256": "2868aa9e17b56b62b665ef54f64598c6954f80183cd20a8d62850ff5abb0680f",
-    "baseline_fit_sha256": "69f21731d4ca6e9fd869caf908c5a1b0730a642907af31ed2a95d7604dc0a074"
-  },
-  "owner_prior_approval": "not accepted; old chain-prior acceptances remain revoked",
-  "full_sequence_physical_fitting_clearance": false,
-  "readiness": "both_candidates_ready_for_owner_comparison_with_preserved_limitations",
-  "inspected_images_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_inspection": {
-    "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
-    "reported_frames": 36,
-    "fps": 12.0,
-    "selected_frame_indices": [
-      0,
-      4,
-      8,
-      13,
-      17,
-      21,
-      26,
-      30,
-      35
-    ],
-    "method": "Nine selected direct reads; no continuous playback or full decode claim",
-    "visual_inspection_pending": false,
-    "visual_inspection_complete": true,
-    "observations": "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations."
-  },
-  "baseline_additional_visual_inspection": [
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png"
-  ],
-  "common_visual_findings": [
-    "Both candidates follow the broad, rounded rectangular chain loop in all four views. Closures across both grasping hands remain inferred; camera 12933256 has substantial foreground hand, forearm and sleeve occlusion. Projection across a hand is not direct evidence of the hidden chain contour or of physical hand penetration.",
-    "The baseline and both candidates have very similar visible corners and exposed arcs. Lower curvature gives no clear visual improvement; stronger reprojection produces modest shifts of exposed arcs and inferred closures. Neither candidate resolves hidden-shape uncertainty or explicitly represents individual chain links.",
-    "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations.",
-    "The circular tube radius remains 4.75 mm. Ring samples are cross-sections of a continuous approximation, not rollers, link plates, gaps or joint articulation. Colors remain median-filled on the underside and occluded sections. Object-to-local-table depth offsets are retained without correction. The saved surface extends below z=0 in all three runs (most in stronger reprojection), so this prior review does not establish table-contact feasibility."
-  ],
-  "candidate_interpretation": "Reducing curvature weight from 5e-9 to 5e-10 leaves visible geometry and common raw residuals nearly unchanged under the unchanged solver. Mean 2D distance changes from 3.798174 to 3.799692 mm; mean 3D distance from 7.080405 to 7.083954 mm. Soft upper-length excess grows from 0.177681 to 0.223517 mm. These small changes do not show an improvement for this case.",
-  "paired_metrics": [
-    {
-      "label": "retained_M18_baseline",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 4.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 7.994358747964725e-05,
-      "length_mm": 585.1776599884033,
-      "soft_length_excess_mm": 0.17768144607543945,
-      "max_curvature_per_m": 76.95549011230469,
-      "mean_3d_point_to_centerline_mm": 7.080405422905114,
-      "mean_2d_mask_to_centerline_mm": 3.798173503352089,
-      "surface_z_min_max_mm": [
-        -1.4119537081569433,
-        22.065378725528717
-      ],
-      "observed_filled_vertices": [
-        1033,
-        695
-      ],
-      "reprojection_per_view": [
-        {
-          "view": 0,
-          "serial": "12540311",
-          "mask_pixels": 10370,
-          "median_depth_m": 1.111,
-          "mean_m": 0.003844704921815472,
-          "median_m": 0.0035417342106970557,
-          "p90_m": 0.007379674288908009,
-          "mean_px": 5.210511910230167,
-          "median_px": 4.799909304029113,
-          "p90_px": 10.00124116239806,
-          "visible_centerline_samples": 269,
-          "outside_mask_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "serial": "12933256",
-          "mask_pixels": 5954,
-          "median_depth_m": 1.116,
-          "mean_m": 0.0038101257089329416,
-          "median_m": 0.0035444493214184265,
-          "p90_m": 0.007228442556042374,
-          "mean_px": 5.069618944349611,
-          "median_px": 4.716129126745396,
-          "p90_px": 9.617918404964243,
-          "visible_centerline_samples": 193,
-          "outside_mask_fraction": 0.015544041450777202
-        },
-        {
-          "view": 2,
-          "serial": "17736741",
-          "mask_pixels": 10117,
-          "median_depth_m": 1.125,
-          "mean_m": 0.003525536514360341,
-          "median_m": 0.0033802527699573846,
-          "p90_m": 0.006383246967434594,
-          "mean_px": 4.729089623177235,
-          "median_px": 4.534240472124178,
-          "p90_px": 8.56236200857139,
-          "visible_centerline_samples": 283,
-          "outside_mask_fraction": 0.0176678445229682
-        },
-        {
-          "view": 3,
-          "serial": "23007103",
-          "mask_pixels": 6403,
-          "median_depth_m": 0.9430000000000001,
-          "mean_m": 0.004012326868299603,
-          "median_m": 0.003776406050852384,
-          "p90_m": 0.007641502149421236,
-          "mean_px": 4.485178180697876,
-          "median_px": 4.221458458950085,
-          "p90_px": 8.542064589344292,
-          "visible_centerline_samples": 263,
-          "outside_mask_fraction": 0.0076045627376425855
-        }
-      ],
-      "point_to_centerline_per_view": [
-        {
-          "view": 0,
-          "count": 7290,
-          "median_m": 0.007497213548049331,
-          "p90_m": 0.011150617804378277,
-          "max_m": 0.01435480173677206,
-          "beyond_2delta_fraction": 0.200960219478738,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 4154,
-          "median_m": 0.004817647626623511,
-          "p90_m": 0.0075666192919015916,
-          "max_m": 0.011014209128916264,
-          "beyond_2delta_fraction": 0.01203659123736158,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 2,
-          "count": 6985,
-          "median_m": 0.007075323257595301,
-          "p90_m": 0.010250700637698175,
-          "max_m": 0.013602840714156628,
-          "beyond_2delta_fraction": 0.11739441660701504,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
-          "count": 3986,
-          "median_m": 0.0071439913008362055,
-          "p90_m": 0.01072401087731123,
-          "max_m": 0.0223002340644598,
-          "beyond_2delta_fraction": 0.13898645258404416,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "geometry_passed": true
-    },
-    {
-      "label": "lower_curvature",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
-      "reprojection_weight": 4.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 8.475646609440446e-05,
-      "length_mm": 585.2234959602356,
-      "soft_length_excess_mm": 0.22351741790771484,
-      "max_curvature_per_m": 77.98448944091797,
-      "mean_3d_point_to_centerline_mm": 7.083954150001286,
-      "mean_2d_mask_to_centerline_mm": 3.7996915875223034,
-      "surface_z_min_max_mm": [
-        -1.413506455719471,
-        22.151600569486618
-      ],
-      "observed_filled_vertices": [
-        1037,
-        691
-      ],
-      "reprojection_per_view": [
-        {
-          "view": 0,
-          "serial": "12540311",
-          "mask_pixels": 10370,
-          "median_depth_m": 1.111,
-          "mean_m": 0.0038473531762712215,
-          "median_m": 0.0035449809578781484,
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-        "coverage_nonfinite_count": 0,
-        "coverage_nonfinite_spans_inclusive": [],
-        "coverage_finite_only_min_median_max": [
-          0.37931033968925476,
-          0.53229820728302,
-          0.8774193525314331
-        ],
-        "paired_depth_p5_min_mm": -37.0,
-        "paired_depth_p5_min_frames": [
-          359
-        ],
-        "paired_depth_p95_max_mm": 39.0,
-        "paired_depth_p95_max_frames": [
-          359
-        ],
-        "paired_depth_p95_gt_100mm_spans": []
-      }
-    },
-    "nonfinite_metric_note": "The original camera 12933256 object mask-bin coverage summary is NaN because 83 entries are nonfinite. These summary values are represented as null here, with finite-only descriptive statistics separately labeled in supplemental_metrics. No scientific data was replaced or imputed.",
-    "actual_visual_inspection": {
-      "camera_diagnostic_plot_count": 20,
-      "native_keyframe_count": 43,
-      "native_keyframes": {
-        "12540311": [
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-          79,
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-      "derived_coverage_plot": true,
-      "derived_snapshot_indices": [
-        0,
-        186,
-        372
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-      "video_samples": {
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-          "declared_frames": 372,
-          "decoded_frames": 372,
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-            346,
-            371
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-        },
-        "12933256": {
-          "path": "12933256/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.898,
-          "selected_frames": [
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-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "17736741": {
-          "path": "17736741/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.84,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            98,
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-            173,
-            197,
-            222,
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-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "23007103": {
-          "path": "23007103/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.877,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            98,
-            123,
-            148,
-            173,
-            197,
-            222,
-            247,
-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "derived": {
-          "path": "derived/derived_30hz_xyz.mp4",
-          "declared_frames": 373,
-          "decoded_frames": 373,
-          "fps": 30.0,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            99,
-            124,
-            148,
-            173,
-            198,
-            223,
-            248,
-            272,
-            297,
-            322,
-            347,
-            372
-          ]
-        }
-      },
-      "video_sample_count": 80,
-      "scope_note": "All five videos decoded completely for readability/count checks. Visual inspection covered all saved keyframes, plots, three derived snapshots and the listed 16 samples per video, rather than every decoded frame."
-    },
-    "initial_reference_findings": [
-      "The four initial RGB/depth views place accepted object points on the visible broad chain loop and represent both grasping hands.",
-      "The initial derived cloud forms a compact, approximately table-aligned rounded rectangular loop with expected gaps near the grasp sites. No initial-reference blocker was found.",
-      "The initial 4 cm inclusive gate leaves 205 eligible controller candidates, then pooled global FPS selects 30 measured trajectories: 18 hand_A and 12 hand_B. Maximum saved initial distance is 39.458389804415944 mm."
-    ],
-    "material_limitations": [
-      "Camera 12933256 has zero admitted object support at native-relative frames 139\u2013192 and 293\u2013325 inclusive. Hand_A support is zero at 152\u2013187 and 302\u2013321. The foreground hand/forearm visibly obscures the object and the other hand in these intervals; rejected/hidden predictions remain visible in the diagnostic overlays.",
-      "Camera 12933256 object mask-bin coverage is nonfinite for 83 frames: 140\u2013191 and 294\u2013324 inclusive. No coverage or observation values were imputed.",
-      "Camera 12933256 paired native-minus-WAFT p95 reaches +274.4 mm at native-relative 296. Values exceed +100 mm at 144\u2013146, 190\u2013191, 294\u2013296 and 325. These are common-support depth comparisons, including hands, rather than ground-truth accuracy measurements.",
-      "The other three cameras retain some admitted object points throughout, but support is partial along visible arcs and around the grasps, especially late. Camera 23007103 falls to 218 admitted object points at native-relative 322, and its visible-point p10 certainty reaches 0.6195.",
-      "The derived sampled sequence retains the broad shearing motion and both hand groups, while showing partial or split arcs. Isolated object points appear at derived samples 24 and 248; sample 297 has a distinctly detached point below the main cloud in XZ/YZ. These later observations are not cleared for physical fitting by this initial-prior review."
-    ],
-    "next_step": "Root may proceed with the already-authorized current C2 initial chain-prior preparation and review that prior separately. This review does not adopt another case\u2019s spline variant, accept a prior or appearance, or authorize a physical fit.",
-    "scientific_outputs_modified": false,
-    "review_does_not_supply_owner_acceptance": true
-  },
-  "numeric_review": "numeric_prior_review.json",
-  "scientific_outputs_modified": false,
-  "source_code_modified": false,
-  "global_or_owner_records_modified": false,
-  "blocking_review_completion_findings": []
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json
deleted file mode 100644
index 24b7b47d52b8bd896804a154eabc850e7388468a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/numeric_prior_review.json
+++ /dev/null
@@ -1,832 +0,0 @@
-{
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json
deleted file mode 100644
index d2e0c57a144003630722c5b47cbd4949ef02b755..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_lower_curvature_v2/orbit_frames.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
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-    13,
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-    26,
-    30,
-    35
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-  "method": "Nine selected direct reads; no continuous playback or full decode claim",
-  "visual_inspection_pending": false,
-  "visual_inspection_complete": true,
-  "observations": "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations."
-}
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-        "visibility_certainty": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/23007103/23007103_visibility_certainty.png",
-        "support_rejections": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/23007103/support_and_rejections.png",
-        "paired_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/23007103/paired_depth.png"
-      }
-    }
-  ],
-  "recipe": {
-    "depth_source": "waft_stereo_dav2l5",
-    "mask_erosion_px": 2,
-    "filter": {
-      "method": "Open3D.remove_statistical_outlier",
-      "nb_neighbors": 20,
-      "std_ratio": 2.0,
-      "input_count": 23373,
-      "kept_count": 22415,
-      "removed_count": 958,
-      "per_view": [
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-          "no_filter_kept": 7620
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-        }
-      ]
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-    "max_rounds": 400,
-    "reprojection": {
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-      "direction": "visible mask pixels to projected centerline",
-      "ribbon_twist_stage": null,
-      "mask": "accepted object outside hand/occluder union",
-      "view_aggregation": "equal view means",
-      "distance": "metric image plane using per-view median visible belt depth and fx/fy",
-      "samples": 360,
-      "huber_delta_m": 0.005,
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-    },
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-      "linesearch_type": "zoom",
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-      "grad_norm_tolerance": 0.0001,
-      "max_iter": 25
-    },
-    "ribbon_twist_refinement": null
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-  "fit": {
-    "stage1_rounds": 1,
-    "stage1_stop": "gradient_tolerance",
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-          "beyond_2delta_fraction": 0.13948820873055695,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "round": 1,
-      "relative_loss_change": 0.9847691103594011
-    },
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-      0.5830000042915344,
-      0.5849999785423279
-    ],
-    "arclength_outside_soft_bounds_m": 0.00022351741790771484
-  },
-  "geometry": {
-    "vertex_count": 1728,
-    "triangle_count": 3456,
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 3.9564960270954776e-05,
-      "minimum_outward_normal_dot_m": 0.004553195774262832,
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-      "maximum_radius_error_m": 7.834360467653956e-09,
-      "maximum_diameter_error_m": 1.4621262632921739e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.003962846286791258,
-      "triangle_area_m2": {
-        "min": 1.9235560876537427e-06,
-        "median": 5.111982282511243e-06,
-        "mean": 4.9931428139748e-06,
-        "max": 7.568709142656369e-06,
-        "density_max_over_min": 3.93474835032666
-      },
-      "bounds_m": [
-        [
-          -0.041020505130290985,
-          -0.1838671863079071,
-          -0.001413506455719471
-        ],
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-          0.1459730565547943,
-          -0.013492164202034473,
-          0.022151600569486618
-        ]
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-      "radius_m": 0.00475,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "overlap_rule": "surface_intersection",
-      "open3d_reported_intersecting_pairs": 0,
-      "confirmed_intersecting_pairs": [],
-      "passed": true,
-      "orientation_flipped": true
-    }
-  },
-  "appearance_seed_counts": {
-    "observed": 22415,
-    "mesh": 103680,
-    "total": 126095,
-    "mesh_to_observed": 4.625474012937765
-  },
-  "vertex_colors": {
-    "observed_vertices": 1037,
-    "filled_vertices": 691
-  },
-  "mechanical_population": {
-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-  },
-  "source_code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png",
-    "derived_30hz_movie": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_30hz_xyz.mp4"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json"
-  }
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index 2a6dac4c9d17ff74bf6c66c02f796baa3c93b9df..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,73 +0,0 @@
-# session_20260921_233350_440979 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent numerical and visual review is complete. This candidate is not accepted; all old chain-prior acceptances remain revoked. This packet reports the observations and tradeoffs below and grants no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 359 / 360 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_0_12540311.png>) |
-| 12933256 | 0 / 358 / 359 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 359 / 360 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 358 / 359 | [centerline](<../prior_chain_stronger_reprojection_v2/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_chain_stronger_reprojection_v2/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_chain_stronger_reprojection_v2/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_chain_stronger_reprojection_v2/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_chain_stronger_reprojection_v2/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_chain_stronger_reprojection_v2/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.119 mm**, maximum curvature **79.924/m**, final gradient norm **7.42561e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.119 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_chain_stronger_reprojection_v2/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 7.934 / 12.128 | 98.89% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 5.081 / 7.624 | 97.95% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 7.875 / 11.219 | 97.89% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 7.616 / 12.031 | 99.25% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **22415 of 23373** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **8**.
-
-Appearance initialization contains **22415 observed + 103680 mesh-derived = 126095 seeds**. Vertex colors are observed for 1030 mesh vertices and median-filled for 698. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../prior_chain_stronger_reprojection_v2/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_chain_stronger_reprojection_v2/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Full saved 30 Hz observations](<../review_v1/derived/derived_30hz_xyz.mp4>)
-
-[Manifest](<../prior_chain_stronger_reprojection_v2/manifest.json>) · [Fit settings and metrics](<../prior_chain_stronger_reprojection_v2/steps/fit.json>) · [Reference observations](<../prior_chain_stronger_reprojection_v2/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The agent inspected 21 actual initial-prior panels and 9 orbit samples. [Exact findings and paired metrics](<agent_findings.json>) retain the coverage. No owner approval, case status, mechanics or appearance authorization is changed.
-
-## Comparison with the retained M18 baseline
-
-Both owner-authorized candidates are complete and reviewed. **Neither is accepted, and all old chain-prior acceptances remain revoked.** Lower curvature uses M18 / 5e-10 / reprojection 4; stronger reprojection uses M18 / 5e-9 / reprojection 8. Every other fit, input and geometry setting matches the designated baseline.
-
-| Run | Mean 2D distance (mm) | Mean 3D distance (mm) | Length (mm) | Soft upper excess (mm) | Max curvature (/m) | Surface z range (mm) |
-|---|---:|---:|---:|---:|---:|---|
-| retained_M18_baseline | 3.798174 | 7.080405 | 585.177660 | 0.177681 | 76.955490 | -1.411954 to 22.065379 |
-| lower_curvature | 3.799692 | 7.083954 | 585.223496 | 0.223517 | 77.984489 | -1.413506 to 22.151601 |
-| stronger_reprojection | 3.702846 | 7.621072 | 585.119069 | 0.119090 | 79.924133 | -2.983477 to 22.970060 |
-
-Reducing curvature weight from 5e-9 to 5e-10 leaves visible geometry and common raw residuals nearly unchanged under the unchanged solver. Mean 2D distance changes from 3.798174 to 3.799692 mm; mean 3D distance from 7.080405 to 7.083954 mm. Soft upper-length excess grows from 0.177681 to 0.223517 mm. These small changes do not show an improvement for this case.
-
-Doubling reprojection weight improves mean mask-to-centerline distance in every camera, with the equal-view mean falling from 3.798174 to 3.702846 mm. Pooled lifted-point distance to the centerline increases from 7.080405 to 7.621072 mm. Soft upper-length excess decreases to 0.119090 mm, while minimum surface z shifts from -1.411954 to -2.983477 mm. This is an image/depth tradeoff with a changed height profile, not demonstrated physical accuracy or a global winner.
-
-The 2D metric is the equal-view mean visible-mask-pixel distance to the projected centerline; it is not silhouette IoU. The 3D metric is pooled lifted-point distance to the centerline; it is not tube-surface error or ground-truth accuracy. Differently weighted total objectives are not ranked. The results have no new noise or significance bound.
-
-Both candidates follow the broad, rounded rectangular chain loop in all four views. Closures across both grasping hands remain inferred; camera 12933256 has substantial foreground hand, forearm and sleeve occlusion. Projection across a hand is not direct evidence of the hidden chain contour or of physical hand penetration.
-
-The baseline and both candidates have very similar visible corners and exposed arcs. Lower curvature gives no clear visual improvement; stronger reprojection produces modest shifts of exposed arcs and inferred closures. Neither candidate resolves hidden-shape uncertainty or explicitly represents individual chain links.
-
-Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations.
-
-The circular tube radius remains 4.75 mm. Ring samples are cross-sections of a continuous approximation, not rollers, link plates, gaps or joint articulation. Colors remain median-filled on the underside and occluded sections. Object-to-local-table depth offsets are retained without correction. The saved surface extends below z=0 in all three runs (most in stronger reprojection), so this prior review does not establish table-contact feasibility.
-
-This candidate stops after 1 outer round(s) at `gradient_tolerance`, gradient norm 7.4256066e-05. Soft length and curvature thresholds remain penalties, not hard feasibility limits. Its tube has 144 rings, 1728 vertices and 3456 triangles at 4.75 mm radius; the saved surface-intersection checks pass. Colors are observed for 1030 vertices and median-filled for 698. Hybrid seeds remain 22,415 observed + 103,680 mesh-derived = 126,095; these are appearance seeds, not mechanical particles or mass.
-
-Actual inspection covered 21 panels per candidate: four inputs, four masked centerlines, eight masked/unmasked silhouettes, and scale/depth cloud, depth offset, residual histograms, colors/fill, hybrid populations. Nine orbit samples 0, 4, 8, 13, 17, 21, 26, 30, 35 of 36 at 12 fps were inspected per candidate. The four retained baseline centerline overlays were also inspected. This is bounded sampled viewing, not continuous playback.
-
-Both hands are represented by 30 measured controls (18 hand_A, 12 hand_B), selected from 205 eligible candidates after the inclusive initial 4 cm gate; maximum initial distance is 39.458390 mm. The retained reference review records zero camera 12933256 object support at native-relative frames 139–192 and 293–325, and zero hand_A support at 152–187 and 302–321. Its 83 nonfinite coverage entries remain unfilled; paired native-minus-WAFT p95 reaches +274.4 mm at frame 296 on common support, including hands. Camera 23007103 falls to 218 object points at frame 322. Later derived samples contain partial arcs and isolated points. The reference review inspected 16 samples per video; this initial-prior review grants no full-sequence physical-fitting clearance. [Reference review](<../review_v1/REVIEW.md>). These initial priors do not clear later observations for physical fitting.
-
-[Other candidate](<../prior_review_chain_lower_curvature_v2/PRIOR_REVIEW_c6a_v1.md>) · [Numerical checks](<numeric_prior_review.json>) · [Exact visual findings](<agent_findings.json>).
-
-All six scientific stages and the single explicit-run packager/check returned zero. All 27 reused input payloads match the designated baseline byte-for-byte, and the copied inputs exclude the derived shape GLB. Both designated old M18 baseline fits and manifests remain unchanged. Saved controls and all seven numerical array families are finite; per-view residual quantiles, geometry radius/bounds, vertex colors and hybrid correspondence were checked. Only the assigned new review packets and unique scratch were written; no source, scientific product, global status or owner record was changed.
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json
deleted file mode 100644
index b5377806a579db93aa42534c3f418e62a381bafd..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/agent_findings.json
+++ /dev/null
@@ -1,1971 +0,0 @@
-{
-  "case_id": "233350",
-  "candidate": "stronger_reprojection",
-  "reviewed_utc": "2026-10-28T22:57:10.436838+00:00",
-  "scope": {
-    "goal": "Review both owner-authorized parameter candidates and compare with the retained M18 prior",
-    "done_when": "Per candidate: six science results zero, one package/check,21 actual panels+9 orbit samples, numerical identity/geometry checks and paired findings",
-    "non_goals": [
-      "No science execution or modified scientific products",
-      "No global selection or restoration of revoked acceptances",
-      "No mechanics, trained appearance or physical fitting"
-    ],
-    "validation": "Saved stage results, exact requested settings and unchanged remaining settings, 27 input-byte comparisons, both designated baseline identities, numerical arrays, actual images, and linked packet"
-  },
-  "job": {
-    "case_id": "233350",
-    "session_id": "session_20260921_233350_440979",
-    "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-    "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1",
-    "candidate": "stronger_reprojection",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2",
-    "baseline": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "settings": {
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 8.0
-    },
-    "baseline_manifest_sha256": "2868aa9e17b56b62b665ef54f64598c6954f80183cd20a8d62850ff5abb0680f",
-    "baseline_fit_sha256": "69f21731d4ca6e9fd869caf908c5a1b0730a642907af31ed2a95d7604dc0a074"
-  },
-  "owner_prior_approval": "not accepted; old chain-prior acceptances remain revoked",
-  "full_sequence_physical_fitting_clearance": false,
-  "readiness": "both_candidates_ready_for_owner_comparison_with_preserved_limitations",
-  "inspected_images_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_inspection": {
-    "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
-    "reported_frames": 36,
-    "fps": 12.0,
-    "selected_frame_indices": [
-      0,
-      4,
-      8,
-      13,
-      17,
-      21,
-      26,
-      30,
-      35
-    ],
-    "method": "Nine selected direct reads; no continuous playback or full decode claim",
-    "visual_inspection_pending": false,
-    "visual_inspection_complete": true,
-    "observations": "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations."
-  },
-  "baseline_additional_visual_inspection": [
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png"
-  ],
-  "common_visual_findings": [
-    "Both candidates follow the broad, rounded rectangular chain loop in all four views. Closures across both grasping hands remain inferred; camera 12933256 has substantial foreground hand, forearm and sleeve occlusion. Projection across a hand is not direct evidence of the hidden chain contour or of physical hand penetration.",
-    "The baseline and both candidates have very similar visible corners and exposed arcs. Lower curvature gives no clear visual improvement; stronger reprojection produces modest shifts of exposed arcs and inferred closures. Neither candidate resolves hidden-shape uncertainty or explicitly represents individual chain links.",
-    "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations.",
-    "The circular tube radius remains 4.75 mm. Ring samples are cross-sections of a continuous approximation, not rollers, link plates, gaps or joint articulation. Colors remain median-filled on the underside and occluded sections. Object-to-local-table depth offsets are retained without correction. The saved surface extends below z=0 in all three runs (most in stronger reprojection), so this prior review does not establish table-contact feasibility."
-  ],
-  "candidate_interpretation": "Doubling reprojection weight improves mean mask-to-centerline distance in every camera, with the equal-view mean falling from 3.798174 to 3.702846 mm. Pooled lifted-point distance to the centerline increases from 7.080405 to 7.621072 mm. Soft upper-length excess decreases to 0.119090 mm, while minimum surface z shifts from -1.411954 to -2.983477 mm. This is an image/depth tradeoff with a changed height profile, not demonstrated physical accuracy or a global winner.",
-  "paired_metrics": [
-    {
-      "label": "retained_M18_baseline",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "reprojection_weight": 4.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 7.994358747964725e-05,
-      "length_mm": 585.1776599884033,
-      "soft_length_excess_mm": 0.17768144607543945,
-      "max_curvature_per_m": 76.95549011230469,
-      "mean_3d_point_to_centerline_mm": 7.080405422905114,
-      "mean_2d_mask_to_centerline_mm": 3.798173503352089,
-      "surface_z_min_max_mm": [
-        -1.4119537081569433,
-        22.065378725528717
-      ],
-      "observed_filled_vertices": [
-        1033,
-        695
-      ],
-      "reprojection_per_view": [
-        {
-          "view": 0,
-          "serial": "12540311",
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-          "median_depth_m": 1.111,
-          "mean_m": 0.003844704921815472,
-          "median_m": 0.0035417342106970557,
-          "p90_m": 0.007379674288908009,
-          "mean_px": 5.210511910230167,
-          "median_px": 4.799909304029113,
-          "p90_px": 10.00124116239806,
-          "visible_centerline_samples": 269,
-          "outside_mask_fraction": 0.0
-        },
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-          "serial": "12933256",
-          "mask_pixels": 5954,
-          "median_depth_m": 1.116,
-          "mean_m": 0.0038101257089329416,
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-          "median_px": 4.716129126745396,
-          "p90_px": 9.617918404964243,
-          "visible_centerline_samples": 193,
-          "outside_mask_fraction": 0.015544041450777202
-        },
-        {
-          "view": 2,
-          "serial": "17736741",
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-          "median_depth_m": 1.125,
-          "mean_m": 0.003525536514360341,
-          "median_m": 0.0033802527699573846,
-          "p90_m": 0.006383246967434594,
-          "mean_px": 4.729089623177235,
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-          "outside_mask_fraction": 0.0176678445229682
-        },
-        {
-          "view": 3,
-          "serial": "23007103",
-          "mask_pixels": 6403,
-          "median_depth_m": 0.9430000000000001,
-          "mean_m": 0.004012326868299603,
-          "median_m": 0.003776406050852384,
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-          "median_px": 4.221458458950085,
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-          "visible_centerline_samples": 263,
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-      ],
-      "point_to_centerline_per_view": [
-        {
-          "view": 0,
-          "count": 7290,
-          "median_m": 0.007497213548049331,
-          "p90_m": 0.011150617804378277,
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-          "beyond_2delta_fraction": 0.200960219478738,
-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 1,
-          "count": 4154,
-          "median_m": 0.004817647626623511,
-          "p90_m": 0.0075666192919015916,
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-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 2,
-          "count": 6985,
-          "median_m": 0.007075323257595301,
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-          "at_cap_fraction": 0.0
-        },
-        {
-          "view": 3,
-          "count": 3986,
-          "median_m": 0.0071439913008362055,
-          "p90_m": 0.01072401087731123,
-          "max_m": 0.0223002340644598,
-          "beyond_2delta_fraction": 0.13898645258404416,
-          "at_cap_fraction": 0.0
-        }
-      ],
-      "geometry_passed": true
-    },
-    {
-      "label": "lower_curvature",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_lower_curvature_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-10,
-      "reprojection_weight": 4.0,
-      "rounds": 1,
-      "stop": "gradient_tolerance",
-      "grad_norm": 8.475646609440446e-05,
-      "length_mm": 585.2234959602356,
-      "soft_length_excess_mm": 0.22351741790771484,
-      "max_curvature_per_m": 77.98448944091797,
-      "mean_3d_point_to_centerline_mm": 7.083954150001286,
-      "mean_2d_mask_to_centerline_mm": 3.7996915875223034,
-      "surface_z_min_max_mm": [
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-        22.151600569486618
-      ],
-      "observed_filled_vertices": [
-        1037,
-        691
-      ],
-      "reprojection_per_view": [
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-          "view": 0,
-          "serial": "12540311",
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-      "delta_from_baseline": {
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-    {
-      "label": "stronger_reprojection",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
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-      "observed_filled_vertices": [
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-        698
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-            "12933256": {
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-        },
-        "controllers": {
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-            "hand_B": 12
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-          "per_view_hand": {
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-          "failure": null
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-        "missing_controller_gate": {
-          "passed": true,
-          "controls_per_hand": {
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-        "grid": {
-          "rate_hz": 30,
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-              39.4,
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-              52.0,
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-          "selected_distance_to_belt_mm_max": 39.458389804415944
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-          "0": "valid",
-          "1": "exact raw sample not valid",
-          "2": "left raw bracket sample not valid",
-          "3": "right raw bracket sample not valid",
-          "4": "both raw bracket samples not valid",
-          "5": "target outside the view's recorded times (no extrapolation)"
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-        "candidate_samples_by_reason": {
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-            "valid": 626828,
-            "left raw bracket sample not valid": 16891,
-            "right raw bracket sample not valid": 17559,
-            "both raw bracket samples not valid": 206320
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-          "hand": {
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-            "left raw bracket sample not valid": 37702,
-            "right raw bracket sample not valid": 38198,
-            "both raw bracket samples not valid": 392874
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-      "paired_depth": [
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-          "native_rejections": {
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-          "native_rejections": {
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-        {
-          "serial": "23007103",
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-          "native_only_samples": 454,
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-          "native_rejections": {
-            "seed_unassigned": 372,
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-            "raw_human_occlusion": 22921,
-            "depth_zero": 90705,
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-            "object_depth_inconsistent": 6700
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-          "waft_rejections": {
-            "seed_unassigned": 372,
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-            "object_depth_inconsistent": 35070
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-      "array_checks": {
-        "all_views_supported": true,
-        "all_controls_valid": true,
-        "finite_visible_objects": true,
-        "finite_controls": true
-      }
-    },
-    "supplemental_metrics": {
-      "12540311": {
-        "object_zero_spans_inclusive": [],
-        "hand_A_zero_spans_inclusive": [],
-        "hand_B_zero_spans_inclusive": [],
-        "object_min_indices": [
-          333
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-        "initial_final_object": [
-          653,
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-        "coverage_nonfinite_count": 0,
-        "coverage_nonfinite_spans_inclusive": [],
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-          0.3357933461666107,
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-        "paired_depth_p5_min_mm": -33.0,
-        "paired_depth_p5_min_frames": [
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-        "paired_depth_p95_max_mm": 33.0,
-        "paired_depth_p95_max_frames": [
-          359,
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-        "paired_depth_p95_gt_100mm_spans": []
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-      "12933256": {
-        "object_zero_spans_inclusive": [
-          [
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-          [
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-        "hand_A_zero_spans_inclusive": [
-          [
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-          [
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-        "hand_B_zero_spans_inclusive": [],
-        "object_min_indices": [
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-          293,
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-          298,
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-          300,
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-          302,
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-          311,
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-          313,
-          314,
-          315,
-          316,
-          317,
-          318,
-          319,
-          320,
-          321,
-          322,
-          323,
-          324,
-          325
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-        "initial_final_object": [
-          522,
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-        "coverage_nonfinite_count": 83,
-        "coverage_nonfinite_spans_inclusive": [
-          [
-            140,
-            191
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-          [
-            294,
-            324
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-        ],
-        "coverage_finite_only_min_median_max": [
-          0.10000000149011612,
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-          0.8873239159584045
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-        "paired_depth_p5_min_mm": -35.0,
-        "paired_depth_p5_min_frames": [
-          357
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-        "paired_depth_p95_max_mm": 274.4000000000001,
-        "paired_depth_p95_max_frames": [
-          296
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-        "paired_depth_p95_gt_100mm_spans": [
-          [
-            144,
-            146
-          ],
-          [
-            190,
-            191
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-          [
-            294,
-            296
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-          [
-            325,
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-      "17736741": {
-        "object_zero_spans_inclusive": [],
-        "hand_A_zero_spans_inclusive": [],
-        "hand_B_zero_spans_inclusive": [],
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-          310
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-        "initial_final_object": [
-          553,
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-        "coverage_nonfinite_count": 0,
-        "coverage_nonfinite_spans_inclusive": [],
-        "coverage_finite_only_min_median_max": [
-          0.3425605595111847,
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-        "paired_depth_p5_min_mm": -41.0,
-        "paired_depth_p5_min_frames": [
-          353,
-          357
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-        "paired_depth_p95_max_mm": 14.0,
-        "paired_depth_p95_max_frames": [
-          20,
-          23
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-        "paired_depth_p95_gt_100mm_spans": []
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-      "23007103": {
-        "object_zero_spans_inclusive": [],
-        "hand_A_zero_spans_inclusive": [],
-        "hand_B_zero_spans_inclusive": [],
-        "object_min_indices": [
-          322
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-        "initial_final_object": [
-          598,
-          343
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-        "coverage_nonfinite_count": 0,
-        "coverage_nonfinite_spans_inclusive": [],
-        "coverage_finite_only_min_median_max": [
-          0.37931033968925476,
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-        "paired_depth_p5_min_mm": -37.0,
-        "paired_depth_p5_min_frames": [
-          359
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-        "paired_depth_p95_max_mm": 39.0,
-        "paired_depth_p95_max_frames": [
-          359
-        ],
-        "paired_depth_p95_gt_100mm_spans": []
-      }
-    },
-    "nonfinite_metric_note": "The original camera 12933256 object mask-bin coverage summary is NaN because 83 entries are nonfinite. These summary values are represented as null here, with finite-only descriptive statistics separately labeled in supplemental_metrics. No scientific data was replaced or imputed.",
-    "actual_visual_inspection": {
-      "camera_diagnostic_plot_count": 20,
-      "native_keyframe_count": 43,
-      "native_keyframes": {
-        "12540311": [
-          0,
-          46,
-          79,
-          82,
-          92,
-          139,
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-          231,
-          278,
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-          231,
-          278,
-          302,
-          324,
-          371
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-          63,
-          92,
-          139,
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-          231,
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-          278,
-          324,
-          371
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-        "23007103": [
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-          92,
-          139,
-          172,
-          185,
-          231,
-          278,
-          322,
-          324,
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-      },
-      "derived_coverage_plot": true,
-      "derived_snapshot_indices": [
-        0,
-        186,
-        372
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-      "video_samples": {
-        "12540311": {
-          "path": "12540311/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.87,
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-            24,
-            49,
-            74,
-            98,
-            123,
-            148,
-            173,
-            197,
-            222,
-            247,
-            272,
-            296,
-            321,
-            346,
-            371
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-        },
-        "12933256": {
-          "path": "12933256/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.898,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            98,
-            123,
-            148,
-            173,
-            197,
-            222,
-            247,
-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "17736741": {
-          "path": "17736741/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.84,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            98,
-            123,
-            148,
-            173,
-            197,
-            222,
-            247,
-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "23007103": {
-          "path": "23007103/rgb_waft_depth_full_window.mp4",
-          "declared_frames": 372,
-          "decoded_frames": 372,
-          "fps": 29.877,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            98,
-            123,
-            148,
-            173,
-            197,
-            222,
-            247,
-            272,
-            296,
-            321,
-            346,
-            371
-          ]
-        },
-        "derived": {
-          "path": "derived/derived_30hz_xyz.mp4",
-          "declared_frames": 373,
-          "decoded_frames": 373,
-          "fps": 30.0,
-          "selected_frames": [
-            0,
-            24,
-            49,
-            74,
-            99,
-            124,
-            148,
-            173,
-            198,
-            223,
-            248,
-            272,
-            297,
-            322,
-            347,
-            372
-          ]
-        }
-      },
-      "video_sample_count": 80,
-      "scope_note": "All five videos decoded completely for readability/count checks. Visual inspection covered all saved keyframes, plots, three derived snapshots and the listed 16 samples per video, rather than every decoded frame."
-    },
-    "initial_reference_findings": [
-      "The four initial RGB/depth views place accepted object points on the visible broad chain loop and represent both grasping hands.",
-      "The initial derived cloud forms a compact, approximately table-aligned rounded rectangular loop with expected gaps near the grasp sites. No initial-reference blocker was found.",
-      "The initial 4 cm inclusive gate leaves 205 eligible controller candidates, then pooled global FPS selects 30 measured trajectories: 18 hand_A and 12 hand_B. Maximum saved initial distance is 39.458389804415944 mm."
-    ],
-    "material_limitations": [
-      "Camera 12933256 has zero admitted object support at native-relative frames 139\u2013192 and 293\u2013325 inclusive. Hand_A support is zero at 152\u2013187 and 302\u2013321. The foreground hand/forearm visibly obscures the object and the other hand in these intervals; rejected/hidden predictions remain visible in the diagnostic overlays.",
-      "Camera 12933256 object mask-bin coverage is nonfinite for 83 frames: 140\u2013191 and 294\u2013324 inclusive. No coverage or observation values were imputed.",
-      "Camera 12933256 paired native-minus-WAFT p95 reaches +274.4 mm at native-relative 296. Values exceed +100 mm at 144\u2013146, 190\u2013191, 294\u2013296 and 325. These are common-support depth comparisons, including hands, rather than ground-truth accuracy measurements.",
-      "The other three cameras retain some admitted object points throughout, but support is partial along visible arcs and around the grasps, especially late. Camera 23007103 falls to 218 admitted object points at native-relative 322, and its visible-point p10 certainty reaches 0.6195.",
-      "The derived sampled sequence retains the broad shearing motion and both hand groups, while showing partial or split arcs. Isolated object points appear at derived samples 24 and 248; sample 297 has a distinctly detached point below the main cloud in XZ/YZ. These later observations are not cleared for physical fitting by this initial-prior review."
-    ],
-    "next_step": "Root may proceed with the already-authorized current C2 initial chain-prior preparation and review that prior separately. This review does not adopt another case\u2019s spline variant, accept a prior or appearance, or authorize a physical fit.",
-    "scientific_outputs_modified": false,
-    "review_does_not_supply_owner_acceptance": true
-  },
-  "numeric_review": "numeric_prior_review.json",
-  "scientific_outputs_modified": false,
-  "source_code_modified": false,
-  "global_or_owner_records_modified": false,
-  "blocking_review_completion_findings": []
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json
deleted file mode 100644
index 7eb44cbd81290b67ce0a4aab8c9f76cdfeb8a556..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/numeric_prior_review.json
+++ /dev/null
@@ -1,832 +0,0 @@
-{
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-    "mesh": 103680,
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-  "hybrid_observed_arrays_equal_filtered_cloud": true,
-  "panels_to_inspect_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "owner_prior_approval": "not accepted; all old chain-prior acceptances revoked"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json
deleted file mode 100644
index d8204ce65b7eeaf7c05d466b8e9e3e02927dd65a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/orbit_frames.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
-  "reported_frames": 36,
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-    4,
-    8,
-    13,
-    17,
-    21,
-    26,
-    30,
-    35
-  ],
-  "method": "Nine selected direct reads; no continuous playback or full decode claim",
-  "visual_inspection_pending": false,
-  "visual_inspection_complete": true,
-  "observations": "Both sets of nine orbit samples show one continuous closed loop with rounded corners and a smooth local height rise near an occluded grasp; no gross crossing, detached component, seam opening or collapsed section is apparent. These sampled views do not establish the true hidden shape. Scale and hybrid panels retain multiview cloud thickness and a visible separation between the tube and some depth observations."
-}
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/prior_metrics.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_chain_stronger_reprojection_v2/prior_metrics.json
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+++ /dev/null
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-{
-  "session_id": "session_20260921_233350_440979",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "owner_prior_approval": "pending",
-  "visual_quality_assessment": "not performed by this packager",
-  "object": {
-    "name": "bike_chain",
-    "representation": "tube",
-    "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-    "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
-    "radius_m": 0.00475,
-    "ribbon_width_m": null,
-    "step_t": 0.125,
-    "step_angle_deg": 30,
-    "u_resolution": null,
-    "overlap_rule": "surface_intersection",
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-    "filled_vertices": 698
-  },
-  "mechanical_population": {
-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-  },
-  "source_code": {
-    "commit": "98ebffe13629edeb0a9b29df973bebc5730d7026",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png",
-    "derived_30hz_movie": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_30hz_xyz.mp4"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json"
-  }
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index c29ed0e43219f4cb3e3f4edc9cdc832b1a8371a8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,67 +0,0 @@
-> **Current status:** owner prior acceptance revoked/on hold on 2026-10-28. Shared chain fitting settings are under review; downstream preparation is held. Earlier review and approval statements below are historical.
-
-# session_20260921_233350_440979 — prior approval pending
-
-Saved C2 **bike_chain** prior evidence (radius 4.75 mm). Agent visual review is complete; owner prior approval remains pending. This packet reports saved values and existing media with the findings below and records no acceptance.
-
-Initial reference frames are the saved nearest-camera observations of the first 30 Hz sample. The local row, converted frame, native-container frame and capture clock remain distinct in [the metrics JSON](<prior_metrics.json>).
-
-| Camera | Local / converted / native | Centerline / geometry / native input |
-|---|---|---|
-| 12540311 | 0 / 359 / 360 | [centerline](<../prior_chain_m18_lowcurvature_v1/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_chain_m18_lowcurvature_v1/review/inputs/view_0_12540311.png>) |
-| 12933256 | 0 / 358 / 359 | [centerline](<../prior_chain_m18_lowcurvature_v1/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_chain_m18_lowcurvature_v1/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 359 / 360 | [centerline](<../prior_chain_m18_lowcurvature_v1/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_chain_m18_lowcurvature_v1/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 358 / 359 | [centerline](<../prior_chain_m18_lowcurvature_v1/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_chain_m18_lowcurvature_v1/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_chain_m18_lowcurvature_v1/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_chain_m18_lowcurvature_v1/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_chain_m18_lowcurvature_v1/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_chain_m18_lowcurvature_v1/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_chain_m18_lowcurvature_v1/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 rounds**, stop `gradient_tolerance`; final length **585.178 mm**, maximum curvature **76.955/m**, final gradient norm **7.99436e-05**. Soft length bounds are 583.000–585.000 mm; distance outside those bounds is 0.178 mm.
-
-Saved geometry checks report `passed=True`: **1728 mesh vertices / 3456 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_chain_m18_lowcurvature_v1/tube/tube_checks.json>).
-
-The following 3D residuals are lifted-depth point distances to the **centerline**, not measured reconstruction errors. The centerline-in-mask fraction is a separate saved diagnostic; it is not silhouette IoU or a visual quality decision.
-
-| Camera | Median / p90 3D residual (mm) | Visible centerline inside mask | Native depth and visibility evidence |
-|---|---|---|---|
-| 12540311 | 7.497 / 11.151 | 100.00% | [Full native video](<../review_v1/12540311/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12540311/12540311_visibility_certainty.png>) · [Support/rejections](<../review_v1/12540311/support_and_rejections.png>) · [Paired depth](<../review_v1/12540311/paired_depth.png>) |
-| 12933256 | 4.818 / 7.567 | 98.45% | [Full native video](<../review_v1/12933256/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/12933256/12933256_visibility_certainty.png>) · [Support/rejections](<../review_v1/12933256/support_and_rejections.png>) · [Paired depth](<../review_v1/12933256/paired_depth.png>) |
-| 17736741 | 7.075 / 10.251 | 98.23% | [Full native video](<../review_v1/17736741/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/17736741/17736741_visibility_certainty.png>) · [Support/rejections](<../review_v1/17736741/support_and_rejections.png>) · [Paired depth](<../review_v1/17736741/paired_depth.png>) |
-| 23007103 | 7.144 / 10.724 | 99.24% | [Full native video](<../review_v1/23007103/rgb_waft_depth_full_window.mp4>) · [Visibility/certainty](<../review_v1/23007103/23007103_visibility_certainty.png>) · [Support/rejections](<../review_v1/23007103/support_and_rejections.png>) · [Paired depth](<../review_v1/23007103/paired_depth.png>) |
-
-The saved statistical filter used 20 neighbours / 2 sigma and kept **22415 of 23373** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **4**.
-
-Appearance initialization contains **22415 observed + 103680 mesh-derived = 126095 seeds**. Vertex colors are observed for 1033 mesh vertices and median-filled for 695. Mesh vertices and appearance seeds are not mechanical particles. No post-prior mechanical population or unit-mass total is supplied by this prior run; trained appearance and physical fitting are separate stages.
-
-[Appearance seed populations](<../prior_chain_m18_lowcurvature_v1/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_chain_m18_lowcurvature_v1/review/colors/visibility_and_fill.png>) · [30 Hz observation coverage](<../review_v1/derived/derived_coverage.png>)
-
-[Full saved 30 Hz observations](<../review_v1/derived/derived_30hz_xyz.mp4>)
-
-[Manifest](<../prior_chain_m18_lowcurvature_v1/manifest.json>) · [Fit settings and metrics](<../prior_chain_m18_lowcurvature_v1/steps/fit.json>) · [Reference observations](<../prior_chain_m18_lowcurvature_v1/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-The agent inspected the 21 initial-prior panels and nine orbit samples listed in [the findings](<agent_findings.json>). Owner prior approval remains pending. No case status, prior acceptance, mechanics approval or trained-appearance approval is changed here.
-
-## Agent review
-
-**Ready for owner review of the initial M18 prior, with hidden-shape and depth limitations.** No blocking tube-construction defect was found. The inferred grip-side span is visibly raised and remains an owner-review consideration. This initial review does not clear later observations for physical fitting.
-
-Goal: review the saved owner-selected initial prior. Done when: one package, saved-numeric checks, 21 actual panels and nine orbit samples, and linked findings are complete. Non-goals: refitting, changing observations or scientific settings, trained appearance, physical fitting, or owner acceptance.
-
-All four input views show the broad rounded rectangular chain loop and **both grasping hands**. The four centerline overlays and eight masked/unmasked tube silhouettes follow the exposed contour, with small residual offsets near corners and grasps. The hidden closure crosses the hand/forearm in the unmasked projections, especially camera 12933256; that projection is inferred geometry, not direct evidence of hidden shape or physical hand penetration.
-
-The scale/depth-cloud and hybrid plots show a **raised grip-side span above the main observed cloud**. Much of that span is median-filled in the color plot. The complete tube surface ranges from **−1.412 to +22.065 mm** relative to nominal table z=0. Its below-table portion and raised hidden segment are retained without correction; neither contact nor the hidden vertical shape is validated by this review.
-
-Visual coverage comprises **21 panels**: four inputs, four masked centerlines, eight masked/unmasked silhouettes, scale/depth cloud, depth offset, residual histograms, colors/fill, and hybrid populations. Nine orbit frames **0, 4, 8, 13, 17, 21, 26, 30, 35** from the 36-frame video at 12 fps show one closed loop with consistent ring samples, without a gross crossing, detached segment or local collapse. These are sampled views, not continuous playback. Ring samples represent a continuous circular tube, not individual chain links.
-
-The owner selected **18 controls and curvature weight 5e-9 before this first prior fit**. No nine-control baseline exists for this case and no comparative improvement is claimed. The fit stops after one outer round at `gradient_tolerance`, with gradient norm **7.99436e-5**. Spline length is **585.177660 mm**, **0.177681 mm above the saved soft upper bound** (approximately 583–585 mm). Maximum curvature is **76.95549/m**, with 53.6% above the soft 10/m threshold. The active-bound flag is not a hard-feasibility certificate.
-
-The **144-ring, 1728-vertex, 3456-triangle** tube has a 4.75 mm radius and the saved `surface_intersection` overlap rule. Saved checks report one component, watertight and consistently outward winding, positive volume, no degenerate triangles, and no proposed or confirmed self-intersections. Radius error and bounds were recomputed from the saved geometry and match the reports. The minimum nonadjacent ring-center distance, 4.108 mm, is a descriptive sampling diagnostic; it is not the adopted overlap test.
-
-The filter retains **22,415 of 23,373** eroded input points. Saved controls, residuals, geometry, colors and hybrid arrays are finite; per-view residual counts and quantiles agree with the reports. The histograms describe point-to-centerline distances, not tube-surface or ground-truth errors, and the centerline-in-mask percentages are not silhouette IoU. Chain-interior-minus-local-table medians are **10.636 / 6.831 / 9.874 / 8.153 mm** in camera order 12540311 / 12933256 / 17736741 / 23007103. No depth correction was applied.
-
-Colors are observed on **1033 vertices** and median-filled on **695**. Hybrid initialization contains **22,415 observed + 103,680 mesh-derived = 126,095 seeds**; observed positions and colors exactly match the filtered cloud arrays. These are appearance initialization populations, not mechanical particles or a mass total. Separate link plates, rollers, gaps and articulation are outside the continuous-tube approximation.
-
-The initial references use local row 0 in all views, converted frames **359 / 358 / 359 / 358**, and saved first-grid offsets **1.970902 / 0 / 6.200584 / 8.734615 ms**. Local, converted and native-container indices remain distinct. Equal local row numbers do not imply equal capture clocks.
-
-The [completed reference review](<../review_v1/REVIEW.md>) remains applicable. Camera 12933256 has zero admitted object support at native-relative **139–192 and 293–325**, and zero hand_A support at **152–187 and 302–321**. Its mask-bin coverage has **83 nonfinite frames** (140–191 and 294–324); nothing was imputed. Its paired native-minus-WAFT p95 reaches **+274.4 mm at 296**, a common-support comparison including hands rather than a ground-truth error. The derived sequence retains both hand groups but has partial/split arcs and a distinctly detached point at **derived sample 297**, with isolated points also at 24 and 248. These later observations are not cleared for physical fitting by this initial review. The saved initial inclusive 4 cm controller gate retains 205 candidates, and pooled FPS selects 30 measured trajectories: 18 hand_A and 12 hand_B; this review changes none of them.
-
-All eight prior commands and the one explicit-run packaging invocation returned zero. Saved numeric and packet-link checks passed. [Numeric details](<numeric_prior_review.json>) and [actual visual findings](<agent_findings.json>) retain the evidence. Only this new packet and task scratch were written; source, scientific products, case status and approval records were unchanged.
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/agent_findings.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/agent_findings.json
deleted file mode 100644
index 8e529f83248afd03bc25244b2b19cec471a12384..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/agent_findings.json
+++ /dev/null
@@ -1,731 +0,0 @@
-{
-  "case": "session_20260921_233350_440979/window_anchor0359-0730",
-  "reviewed_utc": "2026-10-28T22:20:47.744295+00:00",
-  "scope": {
-    "goal": "Review the completed owner-selected initial M18 chain prior",
-    "done_when": "Single package, saved-numeric checks, actual 21-panel and nine-orbit-sample inspection, linked findings",
-    "non_goals": [
-      "No refit or scientific setting changes",
-      "No observation repair, full-sequence physical fitting, or trained appearance",
-      "No owner acceptance or global case-status changes"
-    ],
-    "validation": "Saved stage reports, numeric arrays and metrics, case/frame mappings, actual images, and review links"
-  },
-  "readiness": "ready_for_owner_initial_prior_review_with_hidden_shape_and_depth_limitations",
-  "blocking_tube_construction_findings": [],
-  "owner_prior_approval": "pending; this review grants no acceptance",
-  "full_sequence_physical_fitting_clearance": false,
-  "owner_settings": {
-    "owner_text": "Use 18 controls and 5e-9 for both",
-    "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-    "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-    "control_count": 18,
-    "lambda_curvature_cost": 5e-09,
-    "settings_source": "233248 variant B",
-    "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-    "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-  },
-  "comparison_baseline": "No nine-control prior exists for this case; M18 was the first prior fit.",
-  "inspected_image_base": "../prior_chain_m18_lowcurvature_v1",
-  "inspected_images": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "orbit_visual_inspection": {
-    "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/tube/orbit.mp4",
-    "reported_frames": 36,
-    "fps": 12.0,
-    "selected_frame_indices": [
-      0,
-      4,
-      8,
-      13,
-      17,
-      21,
-      26,
-      30,
-      35
-    ],
-    "method": "Nine direct selected-frame reads, no continuous playback or full decode claim",
-    "visual_inspection_pending": false,
-    "visual_inspection_complete": true,
-    "observations": "One closed rounded rectangular loop with consistent circular ring samples and a visibly raised grip-side segment. No gross crossing, detached segment, or local tube collapse was seen in the nine samples. Rings represent tube cross-sections, not individual chain links."
-  },
-  "visual_findings": [
-    "All four initial RGB/depth panels show the broad chain loop with two grasping hands. Accepted object masks follow the visible chain; the hand/occluder union masks both grasps. Camera 12933256 has substantial hand/forearm occlusion already at the initial view.",
-    "The four centerline and eight masked/unmasked tube overlays follow the exposed rounded rectangular outline. Small edge offsets remain near corners and grasps. In camera 12933256, the hidden closure projects across the foreground forearm/sleeve; the other views also show inferred spans under fingers. These spans are not observed surface evidence or proof of physical hand penetration.",
-    "Scale/depth-cloud and hybrid panels show a raised grip-side tube segment above the main observed cloud. The color plot marks much of this raised hidden segment, and portions of the underside, as median-filled. The initial data do not fully constrain the hidden shape.",
-    "The tube remains a continuous circular approximation and does not encode individual chain plates, rollers, link gaps, or articulated joints. The nine orbit samples show no gross tube crossing, detached geometry, or local collapse.",
-    "The residual histograms retain camera-dependent point-to-centerline spread, with a longer tail in camera 23007103. These are not ground-truth errors or tube-surface distances. The depth diagnostic reports differing chain-interior-minus-local-table heights without applying a correction."
-  ],
-  "material_limitations": [
-    "The raised grip-side span is weakly observed; its shape and vertical position must remain visible to the owner. The surface z range is -1.411954 to +22.065379 mm relative to nominal table z=0. This review does not validate contact or apply a table snap.",
-    "The analytic spline length is 585.177660 mm, 0.177681 mm above the saved soft upper bound. The saved active-bound flag and gradient stopping condition are not hard-feasibility certificates.",
-    "Eighteen controls with curvature weight 5e-9 were selected by the owner before this first prior fit. There is no nine-control prior for this case, and no comparative improvement claim is supported.",
-    "A continuous 4.75 mm radius tube approximates the chain outline, without separate link geometry or articulation. Median-filled vertex colors are an initialization assumption; this is not trained appearance.",
-    "Camera 12933256 has zero admitted object support at native-relative frames 139\u2013192 and 293\u2013325 inclusive. Hand_A support is zero at 152\u2013187 and 302\u2013321. The foreground hand/forearm visibly obscures the object and the other hand in these intervals; rejected/hidden predictions remain visible in the diagnostic overlays.",
-    "Camera 12933256 object mask-bin coverage is nonfinite for 83 frames: 140\u2013191 and 294\u2013324 inclusive. No coverage or observation values were imputed.",
-    "Camera 12933256 paired native-minus-WAFT p95 reaches +274.4 mm at native-relative 296. Values exceed +100 mm at 144\u2013146, 190\u2013191, 294\u2013296 and 325. These are common-support depth comparisons, including hands, rather than ground-truth accuracy measurements.",
-    "The other three cameras retain some admitted object points throughout, but support is partial along visible arcs and around the grasps, especially late. Camera 23007103 falls to 218 admitted object points at native-relative 322, and its visible-point p10 certainty reaches 0.6195.",
-    "The derived sampled sequence retains the broad shearing motion and both hand groups, while showing partial or split arcs. Isolated object points appear at derived samples 24 and 248; sample 297 has a distinctly detached point below the main cloud in XZ/YZ. These later observations are not cleared for physical fitting by this initial-prior review."
-  ],
-  "numeric_review": "numeric_prior_review.json",
-  "saved_metrics": {
-    "fit": {
-      "stage1_rounds": 1,
-      "stage1_stop": "gradient_tolerance",
-      "stage1_final": null,
-      "twist": null,
-      "final": {
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-          "belt_minus_table_m": 0.008153490470124924,
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-      "direction": "visible mask pixels to projected centerline",
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-  "reference_review": {
-    "path": "../review_v1/REVIEW.md",
-    "status": "review_complete_ready_for_initial_prior_with_later_sequence_limitations",
-    "ready_for_initial_prior": true,
-    "full_sequence_physical_fitting_clearance": false,
-    "initial_reference_findings": [
-      "The four initial RGB/depth views place accepted object points on the visible broad chain loop and represent both grasping hands.",
-      "The initial derived cloud forms a compact, approximately table-aligned rounded rectangular loop with expected gaps near the grasp sites. No initial-reference blocker was found.",
-      "The initial 4 cm inclusive gate leaves 205 eligible controller candidates, then pooled global FPS selects 30 measured trajectories: 18 hand_A and 12 hand_B. Maximum saved initial distance is 39.458389804415944 mm."
-    ],
-    "material_limitations": [
-      "Camera 12933256 has zero admitted object support at native-relative frames 139\u2013192 and 293\u2013325 inclusive. Hand_A support is zero at 152\u2013187 and 302\u2013321. The foreground hand/forearm visibly obscures the object and the other hand in these intervals; rejected/hidden predictions remain visible in the diagnostic overlays.",
-      "Camera 12933256 object mask-bin coverage is nonfinite for 83 frames: 140\u2013191 and 294\u2013324 inclusive. No coverage or observation values were imputed.",
-      "Camera 12933256 paired native-minus-WAFT p95 reaches +274.4 mm at native-relative 296. Values exceed +100 mm at 144\u2013146, 190\u2013191, 294\u2013296 and 325. These are common-support depth comparisons, including hands, rather than ground-truth accuracy measurements.",
-      "The other three cameras retain some admitted object points throughout, but support is partial along visible arcs and around the grasps, especially late. Camera 23007103 falls to 218 admitted object points at native-relative 322, and its visible-point p10 certainty reaches 0.6195.",
-      "The derived sampled sequence retains the broad shearing motion and both hand groups, while showing partial or split arcs. Isolated object points appear at derived samples 24 and 248; sample 297 has a distinctly detached point below the main cloud in XZ/YZ. These later observations are not cleared for physical fitting by this initial-prior review."
-    ],
-    "inspection_note": "Read the completed case-specific reference review; no temporal video review was repeated here."
-  },
-  "prior_stage_results": {
-    "inputs": {
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-  "prior_completion": {
-    "completed_utc": "2026-10-28T22:16:03.660976+00:00",
-    "code": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-    "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-    "owner_settings": {
-      "owner_text": "Use 18 controls and 5e-9 for both",
-      "question_item_id": "[\"request_user_input_async\",\"call_4f3ca5db567e45e7a0e793e0329a9bf9\",0]",
-      "recorded_utc": "2026-10-28T22:07:04.723232+00:00",
-      "control_count": 18,
-      "lambda_curvature_cost": 5e-09,
-      "settings_source": "233248 variant B",
-      "scope": "Prepare233350 with18controls and curvature5e-9; all other current C2 settings unchanged. Individual prior review and acceptance remain separate.",
-      "run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1"
-    },
-    "baseline_fit": "not run; owner selected M18 before first prior fit"
-  },
-  "package_result": {
-    "returncode": 0,
-    "argv": [
-      "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-      "-B",
-      "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/agent_drafts/accepted_batch_recipe/package_prior_case.py",
-      "--run",
-      "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-      "--output",
-      "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_m18_lowcurvature_v1"
-    ]
-  },
-  "validation": {
-    "all_eight_prior_stages_zero": true,
-    "single_explicit_run_packager_zero": true,
-    "owner_M18_5e9_settings_match": true,
-    "no_nine_control_baseline_exists": true,
-    "finite_saved_controls_and_numeric_arrays": true,
-    "last_round_matches_final": true,
-    "recomputed_per_view_quantiles_and_geometry_match_saved": true,
-    "radius_4_75mm_and_surface_intersection_rule": true,
-    "tube_geometry_checks_passed": true,
-    "hybrid_observed_arrays_equal_filtered_cloud": true,
-    "gaussian_geometry_equals_colored_tube": true,
-    "actual_21_panels_and_9_orbit_samples_inspected": true,
-    "reference_both_hands_and_later_limitations_retained": true
-  },
-  "scientific_outputs_modified": false,
-  "source_code_modified": false,
-  "acceptance_records_modified": false
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/numeric_prior_review.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/numeric_prior_review.json
deleted file mode 100644
index 02b36519d0f10ff9198c28f1a50c8788e6d33297..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/numeric_prior_review.json
+++ /dev/null
@@ -1,633 +0,0 @@
-{
-  "scope": "Saved initial M18 prior only; no refit, resampling or scientific edits",
-  "stage_results": {
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-  "settings": {
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-      "representation": "tube",
-      "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-      "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
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-      "overlap_rule": "surface_intersection",
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-    "control_count": 18,
-    "relative_loss_tolerance": 1e-07,
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-      "direction": "visible mask pixels to projected centerline",
-      "ribbon_twist_stage": null,
-      "mask": "accepted object outside hand/occluder union",
-      "view_aggregation": "equal view means",
-      "distance": "metric image plane using per-view median visible belt depth and fx/fy",
-      "samples": 360,
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-    "loss_config": {
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-      "max_iter": 25
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-  "hybrid_observed_arrays_equal_filtered_cloud": true,
-  "gaussian_geometry_equals_colored_tube": true,
-  "panels_to_inspect_relative_to_run": [
-    "review/inputs/view_0_12540311.png",
-    "review/inputs/view_1_12933256.png",
-    "review/inputs/view_2_17736741.png",
-    "review/inputs/view_3_23007103.png",
-    "review/spline/centerline_0_with_masks.png",
-    "review/spline/centerline_1_with_masks.png",
-    "review/spline/centerline_2_with_masks.png",
-    "review/spline/centerline_3_with_masks.png",
-    "review/tube/silhouette_0_unmasked.png",
-    "review/tube/silhouette_1_unmasked.png",
-    "review/tube/silhouette_2_unmasked.png",
-    "review/tube/silhouette_3_unmasked.png",
-    "review/tube/silhouette_0_with_masks.png",
-    "review/tube/silhouette_1_with_masks.png",
-    "review/tube/silhouette_2_with_masks.png",
-    "review/tube/silhouette_3_with_masks.png",
-    "review/tube/tube_scale_views.png",
-    "review/inputs/depth_offset.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png"
-  ],
-  "owner_prior_approval": "pending"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/orbit_frames.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/orbit_frames.json
deleted file mode 100644
index 13ea9e39336d9e5debc5ea18b4c81bc1f6c29079..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/orbit_frames.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "source": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/tube/orbit.mp4",
-  "reported_frames": 36,
-  "fps": 12.0,
-  "selected_frame_indices": [
-    0,
-    4,
-    8,
-    13,
-    17,
-    21,
-    26,
-    30,
-    35
-  ],
-  "method": "Nine direct selected-frame reads, no continuous playback or full decode claim",
-  "visual_inspection_pending": false,
-  "visual_inspection_complete": true,
-  "observations": "One closed rounded rectangular loop with consistent circular ring samples and a visibly raised grip-side segment. No gross crossing, detached segment, or local tube collapse was seen in the nine samples. Rings represent tube cross-sections, not individual chain links."
-}
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/packet_validation.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/packet_validation.json
deleted file mode 100644
index 4390f0dfb834aaeac475b060854d5f1ab2e9c674..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/packet_validation.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
-  "all_eight_prior_stages_zero": true,
-  "single_explicit_run_packager_zero": true,
-  "owner_M18_5e9_settings_match": true,
-  "no_nine_control_baseline_exists": true,
-  "finite_saved_controls_and_numeric_arrays": true,
-  "last_round_matches_final": true,
-  "recomputed_per_view_quantiles_and_geometry_match_saved": true,
-  "radius_4_75mm_and_surface_intersection_rule": true,
-  "tube_geometry_checks_passed": true,
-  "hybrid_observed_arrays_equal_filtered_cloud": true,
-  "gaussian_geometry_equals_colored_tube": true,
-  "actual_21_panels_and_9_orbit_samples_inspected": true,
-  "reference_both_hands_and_later_limitations_retained": true,
-  "all_packet_markdown_links_exist": true,
-  "markdown_link_count": 50
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/prior_metrics.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/prior_metrics.json
deleted file mode 100644
index 5718da49b355af84976144d5663bf11049c220b2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/prior_review_m18_lowcurvature_v1/prior_metrics.json
+++ /dev/null
@@ -1,492 +0,0 @@
-{
-  "session_id": "session_20260921_233350_440979",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1",
-  "owner_prior_approval": "pending",
-  "visual_quality_assessment": "not performed by this packager",
-  "object": {
-    "name": "bike_chain",
-    "representation": "tube",
-    "fitter_source": "scripts/chain_state_estimation.py loss/solver literals",
-    "dimension_source": "owner approximate 9.5 mm diameter (corpus Q2, 2026-10-25)",
-    "radius_m": 0.00475,
-    "ribbon_width_m": null,
-    "step_t": 0.125,
-    "step_angle_deg": 30,
-    "u_resolution": null,
-    "overlap_rule": "surface_intersection",
-    "twist_penalty": null
-  },
-  "initial_grid_sample": 0,
-  "views": [
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-    "commit": "d1d2f1381470138dfbb3c58d448e53bfed1e0d7e",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "media": {
-    "full_rotation": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/tube/orbit.mp4",
-    "geometry_depth_cloud": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/tube/tube_scale_views.png",
-    "depth_offset_diagnostic": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/inputs/depth_offset.png",
-    "residual_histograms": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/spline/residual_histograms.png",
-    "color_visibility_fill": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/colors/visibility_and_fill.png",
-    "hybrid_seed_populations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/review/hybrid/combined.png",
-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_coverage.png",
-    "derived_30hz_movie": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/derived/derived_30hz_xyz.mp4"
-  },
-  "sources": {
-    "manifest": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/manifest.json",
-    "fit": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/steps/fit.json",
-    "geometry_checks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/tube/tube_checks.json",
-    "reference_views": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/inputs/reference_views.json",
-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_m18_lowcurvature_v1/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json"
-  }
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json
deleted file mode 100644
index 636e32dbe3b4e0419e08d68dec4ce9b92e8f30e7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/track_report.json
+++ /dev/null
@@ -1,178 +0,0 @@
-{
-  "inputs": {
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/per_camera_inputs.json"
-  },
-  "mask_signoff": {
-    "12540311": {
-      "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/review_signoff.json",
-      "signoff_sha256": "c230fe6872f6f464fafa3aff039c55b5ae4987410c22f8fa6add62626cfc829a",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:31:16Z",
-      "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though."
-    },
-    "12933256": {
-      "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/review_signoff.json",
-      "signoff_sha256": "824a892b6b9208de7df64977c3579500385cd21c8e3b6652be4d87212a8688a1",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:31:20Z",
-      "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though."
-    },
-    "17736741": {
-      "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/review_signoff.json",
-      "signoff_sha256": "19027531f6942720853279918d143a9cf34183acb1444098e277c8810cf7b1e7",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:31:24Z",
-      "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though."
-    },
-    "23007103": {
-      "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/review_signoff.json",
-      "signoff_sha256": "d153e3e1088351e2557ba6d2b287daff4c4a6fbd9f0c189d0ec32623852ae228",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:31:28Z",
-      "labelling_as_accepted": "inspected all masks. All of them look good except for 232616, occluder mask in view 17736741 the bracelet flickers in and out. Again, if possible try to use at most 5 point prompts as anecdotally SAM2 seems to degrade if too many point prompts are provided. choose them wisely. If it can't be fixed its not a huge issue though."
-    }
-  },
-  "tracker": {
-    "tracker": "CoTracker3 online (CoTrackerOnlinePredictor, v2=False)",
-    "source": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/co-tracker",
-    "commit": "82e02e8029753ad4ef13cf06be7f4fc5facdda4d",
-    "checkpoint": "/mnt/data0/magna/.cache/torch/hub/checkpoints/scaled_online.pth",
-    "checkpoint_sha256": "205d34789f19699d64b22cf93f9b697f15f28d4025240e31532e504109837218",
-    "window_len": 16,
-    "step": 8,
-    "model_size_hw": [
-      384,
-      512
-    ],
-    "iters": 6,
-    "visibility_rule": "sigmoid(vis) * sigmoid(conf) > 0.6",
-    "resize": "bilinear align_corners=True native -> model; query/track scale (size_model - 1) / (size_native - 1)",
-    "crop": null,
-    "support_grid": false,
-    "device": "cuda",
-    "torch": "2.11.0+cu128"
-  },
-  "views": [
-    {
-      "serial": "12540311",
-      "seed": 20260923,
-      "queries": 5000,
-      "tracker_visible_fraction": 0.8723827956989247,
-      "frame0_status": {
-        "invalid_depth_at_frame0": 25,
-        "member": 4962,
-        "no_instance_mask_at_frame0": 13
-      },
-      "frame0_members": {
-        "object": 875,
-        "hand_A": 2381,
-        "hand_B": 1706
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    },
-    {
-      "serial": "12933256",
-      "seed": 20260924,
-      "queries": 5000,
-      "tracker_visible_fraction": 0.7957881720430108,
-      "frame0_status": {
-        "invalid_depth_at_frame0": 135,
-        "member": 4855,
-        "no_instance_mask_at_frame0": 10
-      },
-      "frame0_members": {
-        "object": 732,
-        "hand_A": 1802,
-        "hand_B": 2321
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    },
-    {
-      "serial": "17736741",
-      "seed": 20260925,
-      "queries": 5000,
-      "tracker_visible_fraction": 0.9072112903225806,
-      "frame0_status": {
-        "invalid_depth_at_frame0": 37,
-        "member": 4954,
-        "no_instance_mask_at_frame0": 9
-      },
-      "frame0_members": {
-        "object": 761,
-        "hand_A": 2405,
-        "hand_B": 1788
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [],
-        "instances": []
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    },
-    {
-      "serial": "23007103",
-      "seed": 20260926,
-      "queries": 5000,
-      "tracker_visible_fraction": 0.9182413978494623,
-      "frame0_status": {
-        "ambiguous_frame0_instance": 2,
-        "invalid_depth_at_frame0": 99,
-        "member": 4892,
-        "no_instance_mask_at_frame0": 7
-      },
-      "frame0_members": {
-        "object": 834,
-        "hand_A": 1718,
-        "hand_B": 2340
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [
-          2333,
-          4113
-        ],
-        "instances": [
-          [
-            "object",
-            "hand_A"
-          ],
-          [
-            "object",
-            "hand_A"
-          ]
-        ]
-      },
-      "mask_uncovered_frames": {
-        "object": 0,
-        "hand_A": 0,
-        "hand_B": 0
-      }
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12540311.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12540311.npz
deleted file mode 100644
index b09446d53cdf36727ee824eba6ef5116ea1f030e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12540311.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:509c5dec3197bb195ce332edbf9fb7aab1cebd0f63dd222f35fec983667a0a81
-size 31752420
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12933256.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12933256.npz
deleted file mode 100644
index 21d002f3d67ccd756360d78be1c158587bc26013..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_12933256.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0d7fa3de4a0057c546561caf41a22fdbc391b0136081826eac0cf3561e1d9d4b
-size 31752416
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_17736741.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_17736741.npz
deleted file mode 100644
index 86b5a6d21d14c806573e58ed7bdaa893cc9b879a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_17736741.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8a1b48a8120d56e70996a489509183f9e4d1e6dc8ae0dcd3f2753653d4dcb9f6
-size 31752420
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_23007103.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_23007103.npz
deleted file mode 100644
index dcee98703a3b874368d31f70221e9d9d2601e621..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/query_tracks/tracks_23007103.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a6eefe03717ab7c124d4ad528bf909358fb060c0b81c964834f125af042708bf
-size 31752416
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_association.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_association.npz
deleted file mode 100644
index 54b472971231a7fa3e2992915263a77ebc72ff43..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_association.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d0ff42439d83e964ce6efa55f803e137492f5fa31add2d138f8c507e7b4ca37c
-size 19095406
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_observations.npz b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_observations.npz
deleted file mode 100644
index a096445929eac300a3ecb9788017c711ffdc4e3b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/fitting/fitting_observations.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:62048240a6f804b44bf459cdc864c8c299804e37fc50738f45c7f40e22d68b19
-size 11470138
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/report.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/report.json
deleted file mode 100644
index 80c4bb211f209bb0ae6ab1470a49109cb88cc09b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/rt3_lifts/report.json
+++ /dev/null
@@ -1,21723 +0,0 @@
-{
-  "kind": "real_rgbd_rt3_lifting_v1",
-  "depth_source": "waft_stereo_dav2l5",
-  "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-  "signed_native_frames": null,
-  "tap_raw_dir": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-  "cotracker_raw_dir": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/query_tracks",
-  "support_rule": "rt_d7_depth_consistency_v1",
-  "observations_only": true,
-  "views": [
-    {
-      "serial": "12540311",
-      "queries": 5000,
-      "fixed_seed_labels": {
-        "object": 880,
-        "hand_A": 2396,
-        "hand_B": 1724,
-        "": 0
-      },
-      "admitted_frame0_labels": {
-        "object": 653,
-        "hand_A": 2363,
-        "hand_B": 1701,
-        "": 283
-      },
-      "frame0_status": {
-        "member": 4717,
-        "no_instance_mask_at_frame0": 283
-      },
-      "valid_sample_support_per_native_frame": [
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-      "native_rejections": {
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-        "depth_zero": 62602,
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-        "object_depth_inconsistent": 4236
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-        "mask_unknown": 0,
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-    {
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-      "native_only_samples": 70,
-      "waft_only_samples": 10189,
-      "native_minus_waft_depth_m_p5_p50_p95": [
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-      "native_rejections": {
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-        "depth_zero": 31616,
-        "depth_saturated": 0,
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-    {
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-      "native_only_samples": 454,
-      "waft_only_samples": 23820,
-      "native_minus_waft_depth_m_p5_p50_p95": [
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-      "native_rejections": {
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-        "object_depth_inconsistent": 35070
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-    "transition_count": 372,
-    "native_frame_count": [
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-      372,
-      372,
-      372
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-    "physics_frame": "table",
-    "hand_validity": "union of both hand masks (U pooled rule); frame-zero physical label fixed",
-    "source_constants": {
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-      "controller_count": 30
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-          "hand_B": 0
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-          0.0,
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-        "frame0_members": {
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-        "frame0_members": {
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-          "hand_A": 2401,
-          "hand_B": 1796
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-        "mask_uncovered_frames": {
-          "object": 0,
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-        "member_samples_with_unknown_mask": 0,
-        "hand_samples_off_own_hand_mask": 29,
-        "offset_from_anchor_ms_min_median_max": [
-          0.0,
-          0.0,
-          0.0
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-      {
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-        "queries": 5000,
-        "frame0_status": {
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-          "member": 4716,
-          "no_instance_mask_at_frame0": 283
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-        "frame0_members": {
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-          "hand_A": 1739,
-          "hand_B": 2379
-        },
-        "mask_uncovered_frames": {
-          "object": 0,
-          "hand_A": 0,
-          "hand_B": 0
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-        "member_samples_with_unknown_mask": 0,
-        "hand_samples_off_own_hand_mask": 0,
-        "offset_from_anchor_ms_min_median_max": [
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-          0.0,
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-        ]
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-    "object": {
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-        "12933256": {
-          "object": 522
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-        "17736741": {
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-        "23007103": {
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-      "no_valid_first_sample": {
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-          "object": 0
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-        "17736741": {
-          "object": 47
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-        "23007103": {
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-      },
-      "exact_frame0_duplicate": {
-        "12540311": {
-          "object": 5
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-        "12933256": {
-          "object": 93
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-        "17736741": {
-          "object": 0
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-        "23007103": {
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-      "voxel_mate": {
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-        "17736741": {
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-        "23007103": {
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-      "selected": {
-        "12540311": {
-          "object": 228
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-        "12933256": {
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-        "17736741": {
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-        "23007103": {
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-      "representatives": 769,
-      "visible_per_sample_min_median_max": [
-        357,
-        589,
-        769
-      ],
-      "motion_valid_per_transition_min_median_max": [
-        331,
-        562,
-        726
-      ],
-      "captured_denominators": {
-        "D_V = sum V[1]": 748,
-        "D_M = sum M[0]": 726
-      },
-      "admitted_motion_valid_per_transition_min_median_max": [
-        913,
-        1527,
-        2064
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-    },
-    "hands": {
-      "candidates": {
-        "12540311": {
-          "hand_A": 2363,
-          "hand_B": 1701
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-        "12933256": {
-          "hand_A": 1867,
-          "hand_B": 2348
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-        "17736741": {
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-          "hand_B": 1796
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-        "23007103": {
-          "hand_A": 1739,
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-      "not_visible_all_frames": {
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-          "hand_A": 316,
-          "hand_B": 304
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-        "12933256": {
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-        "23007103": {
-          "hand_A": 448,
-          "hand_B": 456
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-      "motion_filter_rejected": {
-        "12540311": {
-          "hand_A": 1191,
-          "hand_B": 1092
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-        "12933256": {
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-      "not_fps_selected": {
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-        "12933256": {
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-      "per_hand": {
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-        "hand_B": 12
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-      "per_view_hand": {
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-      "failure": null
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-    "missing_controller_gate": {
-      "passed": true,
-      "controls_per_hand": {
-        "hand_A": 18,
-        "hand_B": 12
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-    "grid": {
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-          92.9,
-          177.4
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-      "1": "exact raw sample not valid",
-      "2": "left raw bracket sample not valid",
-      "3": "right raw bracket sample not valid",
-      "4": "both raw bracket samples not valid",
-      "5": "target outside the view's recorded times (no extrapolation)"
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-    "candidate_samples_by_reason": {
-      "object": {
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-        "left raw bracket sample not valid": 16891,
-        "right raw bracket sample not valid": 17559,
-        "both raw bracket samples not valid": 206320
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-      "hand": {
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-        "left raw bracket sample not valid": 37702,
-        "right raw bracket sample not valid": 38198,
-        "both raw bracket samples not valid": 392874
-      }
-    }
-  }
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft.log
deleted file mode 100644
index 7ccd77bb4f6a69991db9747074acc6b906bfebc1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json; native RGB/mask identities and interaction bounds are unchanged
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_argv.json
deleted file mode 100644
index 088994dddc639abb2dc5fd7a7b6ae56ca1ed2355..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_argv.json
+++ /dev/null
@@ -1,13 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "select-depth",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_233350_440979",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/per_camera_inputs.json",
-  "--depth-source",
-  "waft_stereo_dav2l5",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/frames_waft"
-]
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_result.json
deleted file mode 100644
index 879e5e892690aa3da1c17d216e182b8cf369340e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/select_waft_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.1591434478759766
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/selected_mask_admission.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/selected_mask_admission.json
deleted file mode 100644
index 2d4922e39511aa7198e6eb0c7c1fb95010f18525..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/selected_mask_admission.json
+++ /dev/null
@@ -1,147 +0,0 @@
-{
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_mask_acceptance_c6a_selected_20261028.json",
-  "source_selection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/mask_review_selection.json",
-  "cameras": [
-    {
-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/inspection/frames.npz",
-      "T": 372,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12540311/review_signoff_occluder.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/inspection/frames.npz",
-      "T": 372,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 289,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 322,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/12933256/review_signoff_occluder.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/inspection/frames.npz",
-      "T": 372,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/17736741/review_signoff_occluder.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/inspection/frames.npz",
-      "T": 372,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/native_inputs/cameras/23007103/review_signoff_occluder.json",
-          "covered_frames": 372,
-          "visible_frames": 372,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    }
-  ]
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md
deleted file mode 100644
index ce4c9f62c1427523dffc890e4ad43decafd37dcd..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/APPEARANCE_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,35 +0,0 @@
-# 233350: stronger-reprojection static appearance review
-
-**The new static appearance is reviewed; owner appearance acceptance is recorded below.** This run uses the exact newly accepted stronger-reprojection prior: 18 controls, curvature weight 5e-9, reprojection weight 8 and 4.75 mm tube radius. Earlier appearance products and decisions remain historical.
-
-[Rotation video](appearance_train_v1/review/novel_view.mp4) · [Loss curves](appearance_train_v1/review/loss_curves.png) · [Accepted prior review](../prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md)
-
-- [Camera 12540311: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_0_sheet.png): Exposed corners and link texture align with the broad rectangular loop. Both hand-hidden intervals are open in the render; the foreground left endpoint has a broad dark diffuse patch with speckles below it.
-- [Camera 12933256: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_1_sheet.png): The visible upper and lower arc segments retain link texture. The forearm-hidden right arc is thick, mottled and fringed; both grasp intervals remain visibly open, with small diffuse protrusions near the endpoints.
-- [Camera 17736741: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_2_sheet.png): The two exposed arcs follow the observation and retain rounded corners. Large top and lower-left hand gaps remain; the lower-left endpoint has a dark diffuse lobe and scattered fringe.
-- [Camera 23007103: observed/rendered RGB, masks and depth](appearance_train_v1/review/iteration_10000/view_3_sheet.png): The broad diamond-like projected contour aligns on exposed segments. Both grasp sites remain open, and the right hidden interval has thick dark filling and local protrusions around the gap.
-
-All eight sampled orbit frames retain the broad rectangular arrangement of two open arcs without frame clipping or gross global collapse. Gaps at both hand-hidden intervals are conspicuous across the sampled angles. A thickened diffuse section and fringe remain near one grasp. The trained appearance does not preserve the closed-loop coverage of the geometric prior.
-
-The plotted L1 and total losses decline, with sharp transients near iterations 3000, 6000 and 9000. The late total loss oscillates within a settled band; no sustained late divergence is visible.
-
-The reference loop used **10,000 iterations / 9,999 optimizer updates**, masks, hybrid initialization and isotropic scales, with depth/normal/anisotropic/segmentation weights 0.001/0/0/1. Final spherical-harmonic degree is 3. Runtime overrides are recorded in the linked run record.
-
-- Initial hybrid seeds: **126,095**. Final saved Gaussians: **128,423**; reference strict-opacity >0.1 export: **84,059**. These are appearance primitives, not mechanical particles or mass.
-- Mean same-training-view source total: **0.003709499 → 0.000426623**. This is the masked, occlusion-aware source objective on the four training views, not held-out reconstruction or physical accuracy.
-- All 12 saved view NPZs, three PLY payloads and three complete scalar histories are finite; scalar steps 1–10000 are present. Saved and filtered populations agree at both 7000 and 10000. Check, train and review stages returned zero, and the accepted prior identity matches.
-- Actual viewing covered all four final sheets, the loss curves and orbit frames 0/25/50/75/100/125/150/175 of 200. This is sampled viewing, not continuous visual playback.
-
-The black background is an object-only diagnostic. Full-scene raw residual panels are not the masked training objective. Rendering and low training loss do not determine unobserved geometry, table contact or dynamic accuracy.
-
-The retained reference review represents both hands with 30 measured controls (18 hand_A and 12 hand_B), selected after the inclusive initial 4 cm gate. It records zero camera 12933256 object support at native-relative frames 139–192 and 293–325, and zero hand_A support at 152–187 and 302–321. Its 83 nonfinite coverage entries remain unfilled; paired native-minus-WAFT p95 reaches +274.4 mm at frame 296 on common support, including hands. Camera 23007103 falls to 218 admitted object points at frame 322. Later derived samples contain partial arcs and isolated points. The reference review sampled 16 times per video. This static appearance does not clear those later observations for physical fitting or establish hidden shape or table contact.
-
-[Retained reference review](../review_v1/REVIEW.md) · [Saved findings and inspection coverage](appearance_train_v1/review/agent_findings.json) · [Saved summary](appearance_train_v1/review/summary.json) · [Run record](appearance_train_v1/run_record.json)
-
-Appearance acceptance is separate from the accepted prior and any future physical fitting. This review changed only its new packet, findings and private scratch; no science, mechanics, source, global status or owner record was changed.
-
-## Owner decision
-
-The owner accepted this exact new static appearance: I approve of all chain priors/appearances
-
-The initial review above predates this decision. Its limitations remain; physical fitting is separate. [Recorded acceptance](owner_appearance_acceptance.json).
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log
deleted file mode 100644
index fc611616625f8612545a3936c5fe5e170986f6f9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1.log
+++ /dev/null
@@ -1,57 +0,0 @@
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:37:15]
-Init points from pcd... [28/10 19:37:16]
-Init points from mesh... [28/10 19:37:16]
-Loading Training Cameras [28/10 19:37:16]
-Loading Test Cameras [28/10 19:37:16]
-Number of points at initialisation :  126095 [28/10 19:37:16]
-Sampling 100000 points from mesh [28/10 19:37:16]
-{
-  "cameras": [
-    {
-      "id": 0,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 10370,
-      "occlusion_px": 370910,
-      "valid_depth_px": 1917170,
-      "boundary_px": 2750,
-      "projection_max_error_px": 2.1135738671845797e-05
-    },
-    {
-      "id": 1,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 5982,
-      "occlusion_px": 295720,
-      "valid_depth_px": 2027295,
-      "boundary_px": 1729,
-      "projection_max_error_px": 1.026464015114202e-06
-    },
-    {
-      "id": 2,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 10117,
-      "occlusion_px": 393758,
-      "valid_depth_px": 1968109,
-      "boundary_px": 2939,
-      "projection_max_error_px": 4.361000443542485e-06
-    },
-    {
-      "id": 3,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 6408,
-      "occlusion_px": 188400,
-      "valid_depth_px": 1906548,
-      "boundary_px": 2086,
-      "projection_max_error_px": 3.231818942591454e-06
-    }
-  ],
-  "hybrid": {
-    "vertex_color_branch": true,
-    "mesh": 103680,
-    "observed": 22415,
-    "total": 126095
-  }
-} [28/10 19:37:16]
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json
deleted file mode 100644
index cec87571d4916a92b4b1ac3d4aa6f81c622a64cb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/bin/python",
-    "scripts/real_rgbd_appearance_train.py",
-    "check",
-    "--prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-    "--accepted-prior-manifest-sha256",
-    "8205a9d675b72e61c4d63d5866d045d7ab325326b245ebef127c552db859bb59",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_check_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json
deleted file mode 100644
index 53a4857f257906707be56f07c38b01f1ad2271c9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_check_v1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.8181651839986444,
-  "completed_utc": "2026-10-28T23:37:17.154238+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json
deleted file mode 100644
index aa8851860ebb1bc4507d9b120f935e37fc292d60..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_complete.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "case_id": "233350",
-  "phase": "appearance",
-  "failed_stage": null,
-  "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2",
-  "completed_utc": "2026-10-28T23:39:48.903084+00:00"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log
deleted file mode 100644
index 986efa0d4e973c47f9aa1fc31b87fcb6717d58ae..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1.log
+++ /dev/null
@@ -1,32 +0,0 @@
-/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1965: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
-If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
-  warnings.warn(
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:39:37]
-Init points from pcd... [28/10 19:39:37]
-Init points from mesh... [28/10 19:39:37]
-Loading Training Cameras [28/10 19:39:37]
-Loading Test Cameras [28/10 19:39:37]
-Number of points at initialisation :  126095 [28/10 19:39:37]
-Sampling 100000 points from mesh [28/10 19:39:37]
-Loading trained model at iteration 7000 [28/10 19:39:39] [28/10 19:39:39]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:39:39] [28/10 19:39:39]
-Init points from pcd... [28/10 19:39:40] [28/10 19:39:40]
-Init points from mesh... [28/10 19:39:40] [28/10 19:39:40]
-Loading Training Cameras [28/10 19:39:40] [28/10 19:39:40]
-Loading Test Cameras [28/10 19:39:40] [28/10 19:39:40]
-Sampling 100000 points from mesh [28/10 19:39:40] [28/10 19:39:40]
-Loading trained model at iteration 10000 [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Init points from pcd... [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Init points from mesh... [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Loading Training Cameras [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Loading Test Cameras [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-Sampling 100000 points from mesh [28/10 19:39:42] [28/10 19:39:42] [28/10 19:39:42]
-{
-  "snapshots": [
-    "0",
-    "7000",
-    "10000"
-  ],
-  "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/review"
-} [28/10 19:39:48] [28/10 19:39:48] [28/10 19:39:48]
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json
deleted file mode 100644
index a4202d0c9a317a6479378734db862905ae8efc90..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_argv.json
+++ /dev/null
@@ -1,15 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/bin/python",
-    "scripts/real_rgbd_appearance_review.py",
-    "--run",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  },
-  "resource_lock": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/outputs/c6a_recovery/resource_lane.lock",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json
deleted file mode 100644
index 617221c859d6329823fb43b0f162aa21a52abba0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_review_v1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 16.0896699839941,
-  "completed_utc": "2026-10-28T23:39:48.902846+00:00",
-  "source_commit": "5e33a51eb977bdc3ab7e51277b87c41a57bd728d"
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log
deleted file mode 100644
index c82b976ee078c7d94c754eb736a5b36c035f8187..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1.log
+++ /dev/null
@@ -1,19 +0,0 @@
-Optimizing /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model
-Output folder: /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model [28/10 19:37:18]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 19:37:18]
-Init points from pcd... [28/10 19:37:19]
-Init points from mesh... [28/10 19:37:19]
-Loading Training Cameras [28/10 19:37:19]
-Loading Test Cameras [28/10 19:37:19]
-Number of points at initialisation :  126095 [28/10 19:37:19]
-Sampling 100000 points from mesh [28/10 19:37:19]
-
Training progress:   0%|          | 0/10000 [00:00<?, ?it/s]/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_gs_train_env/.venv/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1965: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
-If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
-  warnings.warn(
-
Training progress:   0%|          | 0/10000 [00:00<?, ?it/s, Loss=0.00289, L1 Loss=0.00035, Depth Loss=0.00139, Normal Loss=0.00000, Seg Loss=0.00147, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:23, 19.84it/s, Loss=0.00289, L1 Loss=0.00035, Depth Loss=0.00139, Normal Loss=0.00000, Seg Loss=0.00147, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:23, 19.84it/s, Loss=0.00240, L1 Loss=0.00044, Depth Loss=0.00197, Normal Loss=0.00000, Seg Loss=0.00146, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:46, 34.78it/s, Loss=0.00240, L1 Loss=0.00044, Depth Loss=0.00197, Normal Loss=0.00000, Seg Loss=0.00146, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:46, 34.78it/s, Loss=0.00194, L1 Loss=0.00032, Depth Loss=0.00096, Normal Loss=0.00000, Seg Loss=0.00098, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:35, 46.26it/s, Loss=0.00194, L1 Loss=0.00032, Depth Loss=0.00096, Normal Loss=0.00000, Seg Loss=0.00098, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:35, 46.26it/s, Loss=0.00171, L1 Loss=0.00034, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00093, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:00<03:01, 54.83it/s, Loss=0.00171, L1 Loss=0.00034, Depth Loss=0.00121, Normal Loss=0.00000, Seg Loss=0.00093, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:01<03:01, 54.83it/s, Loss=0.00151, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00085, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:42, 61.12it/s, Loss=0.00151, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00085, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:42, 61.12it/s, Loss=0.00144, L1 Loss=0.00035, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00078, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:31, 65.51it/s, Loss=0.00144, L1 Loss=0.00035, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00078, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:31, 65.51it/s, Loss=0.00137, L1 Loss=0.00032, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00068, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:24, 68.52it/s, Loss=0.00137, L1 Loss=0.00032, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00068, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:24, 68.52it/s, Loss=0.00121, L1 Loss=0.00024, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:20, 70.69it/s, Loss=0.00121, L1 Loss=0.00024, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:20, 70.69it/s, Loss=0.00114, L1 Loss=0.00022, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:17, 72.29it/s, Loss=0.00114, L1 Loss=0.00022, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:17, 72.29it/s, Loss=0.00115, L1 Loss=0.00020, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00070, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:14, 73.43it/s, Loss=0.00115, L1 Loss=0.00020, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00070, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:14, 73.43it/s, Loss=0.00116, L1 Loss=0.00026, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:13, 74.10it/s, Loss=0.00116, L1 Loss=0.00026, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:13, 74.10it/s, Loss=0.00109, L1 Loss=0.00026, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00061, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:12, 74.46it/s, Loss=0.00109, L1 Loss=0.00026, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00061, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:02<02:12, 74.46it/s, Loss=0.00108, L1 Loss=0.00028, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<02:12, 74.66it/s, Loss=0.00108, L1 Loss=0.00028, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<02:12, 74.66it/s, Loss=0.00099, L1 Loss=0.00020, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<02:11, 74.95it/s, Loss=0.00099, L1 Loss=0.00020, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<02:11, 74.95it/s, Loss=0.00106, L1 Loss=0.00027, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<02:10, 75.51it/s, Loss=0.00106, L1 Loss=0.00027, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<02:10, 75.51it/s, Loss=0.00102, L1 Loss=0.00027, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<02:10, 75.65it/s, Loss=0.00102, L1 Loss=0.00027, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<02:10, 75.65it/s, Loss=0.00102, L1 Loss=0.00018, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<02:09, 75.85it/s, Loss=0.00102, L1 Loss=0.00018, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<02:09, 75.85it/s, Loss=0.00101, L1 Loss=0.00026, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<02:09, 75.75it/s, Loss=0.00101, L1 Loss=0.00026, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<02:09, 75.75it/s, Loss=0.00096, L1 Loss=0.00025, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<02:09, 75.86it/s, Loss=0.00096, L1 Loss=0.00025, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:03<02:09, 75.86it/s, Loss=0.00090, L1 Loss=0.00018, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:03<02:09, 75.78it/s, Loss=0.00090, L1 Loss=0.00018, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:03<02:09, 75.78it/s, Loss=0.00089, L1 Loss=0.00021, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<02:08, 76.02it/s, Loss=0.00089, L1 Loss=0.00021, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<02:08, 76.02it/s, Loss=0.00092, L1 Loss=0.00024, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<02:08, 76.20it/s, Loss=0.00092, L1 Loss=0.00024, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<02:08, 76.20it/s, Loss=0.00094, L1 Loss=0.00017, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<02:07, 76.45it/s, Loss=0.00094, L1 Loss=0.00017, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<02:07, 76.45it/s, Loss=0.00086, L1 Loss=0.00017, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<02:07, 76.62it/s, Loss=0.00086, L1 Loss=0.00017, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<02:07, 76.62it/s, Loss=0.00090, L1 Loss=0.00017, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<02:07, 76.51it/s, Loss=0.00090, L1 Loss=0.00017, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<02:07, 76.51it/s, Loss=0.00092, L1 Loss=0.00022, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<02:06, 76.73it/s, Loss=0.00092, L1 Loss=0.00022, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<02:06, 76.73it/s, Loss=0.00091, L1 Loss=0.00023, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<02:06, 76.71it/s, Loss=0.00091, L1 Loss=0.00023, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:04<02:06, 76.71it/s, Loss=0.00092, L1 Loss=0.00017, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:04<02:07, 76.51it/s, Loss=0.00092, L1 Loss=0.00017, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00060, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:04<02:07, 76.51it/s, Loss=0.00087, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:04<02:07, 76.25it/s, Loss=0.00087, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:04<02:07, 76.25it/s, Loss=0.00092, L1 Loss=0.00017, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00059, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<02:06, 76.61it/s, Loss=0.00092, L1 Loss=0.00017, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00059, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<02:06, 76.61it/s, Loss=0.00089, L1 Loss=0.00020, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<02:06, 76.76it/s, Loss=0.00089, L1 Loss=0.00020, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<02:06, 76.76it/s, Loss=0.00088, L1 Loss=0.00024, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<02:06, 76.80it/s, Loss=0.00088, L1 Loss=0.00024, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<02:06, 76.80it/s, Loss=0.00090, L1 Loss=0.00016, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<02:05, 76.92it/s, Loss=0.00090, L1 Loss=0.00016, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<02:05, 76.92it/s, Loss=0.00090, L1 Loss=0.00016, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<02:05, 76.92it/s, Loss=0.00090, L1 Loss=0.00016, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<02:05, 76.92it/s, Loss=0.00084, L1 Loss=0.00022, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<02:05, 76.80it/s, Loss=0.00084, L1 Loss=0.00022, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:05<02:05, 76.80it/s, Loss=0.00085, L1 Loss=0.00020, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:05<02:05, 76.76it/s, Loss=0.00085, L1 Loss=0.00020, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:05<02:05, 76.76it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:05<02:05, 76.93it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:05<02:05, 76.93it/s, Loss=0.00078, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<02:04, 77.05it/s, Loss=0.00078, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<02:04, 77.05it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<02:04, 77.12it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<02:04, 77.12it/s, Loss=0.00084, L1 Loss=0.00017, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<02:04, 77.12it/s, Loss=0.00084, L1 Loss=0.00017, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<02:04, 77.12it/s, Loss=0.00084, L1 Loss=0.00019, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<02:04, 77.06it/s, Loss=0.00084, L1 Loss=0.00019, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<02:04, 77.06it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<02:04, 77.03it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:06<02:04, 77.03it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:06<02:04, 77.06it/s, Loss=0.00083, L1 Loss=0.00016, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:06<02:04, 77.06it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:06<02:04, 77.09it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:06<02:04, 77.09it/s, Loss=0.00074, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:06<02:03, 77.07it/s, Loss=0.00074, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:06<02:03, 77.07it/s, Loss=0.00072, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:06<02:03, 77.21it/s, Loss=0.00072, L1 Loss=0.00015, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:06<02:03, 77.21it/s, Loss=0.00083, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<02:04, 76.77it/s, Loss=0.00083, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<02:04, 76.77it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<02:03, 76.90it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<02:03, 76.90it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<02:03, 77.12it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<02:03, 77.12it/s, Loss=0.00076, L1 Loss=0.00021, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<02:03, 77.12it/s, Loss=0.00076, L1 Loss=0.00021, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:07<02:03, 77.12it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:07<02:03, 76.89it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:07<02:03, 76.89it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:07<02:03, 76.74it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:07<02:03, 76.74it/s, Loss=0.00079, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:07<02:03, 76.89it/s, Loss=0.00079, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:07<02:03, 76.89it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:07<02:02, 76.99it/s, Loss=0.00078, L1 Loss=0.00018, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:07<02:02, 76.99it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<02:03, 76.82it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<02:03, 76.82it/s, Loss=0.00077, L1 Loss=0.00016, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<02:02, 77.34it/s, Loss=0.00077, L1 Loss=0.00016, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<02:02, 77.34it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<02:02, 77.24it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<02:02, 77.24it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<02:02, 77.14it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:08<02:02, 77.14it/s, Loss=0.00078, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:08<02:01, 77.34it/s, Loss=0.00078, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:08<02:01, 77.34it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:08<02:01, 77.18it/s, Loss=0.00069, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:08<02:01, 77.18it/s, Loss=0.00071, L1 Loss=0.00017, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:08<02:08, 72.94it/s, Loss=0.00071, L1 Loss=0.00017, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:08<02:08, 72.94it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:08<02:06, 74.19it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:08<02:06, 74.19it/s, Loss=0.00070, L1 Loss=0.00014, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<02:04, 75.03it/s, Loss=0.00070, L1 Loss=0.00014, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<02:04, 75.03it/s, Loss=0.00073, L1 Loss=0.00015, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<02:03, 75.95it/s, Loss=0.00073, L1 Loss=0.00015, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<02:03, 75.95it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<02:02, 76.28it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:09<02:02, 76.28it/s, Loss=0.00075, L1 Loss=0.00019, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:09<02:02, 76.41it/s, Loss=0.00075, L1 Loss=0.00019, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:09<02:02, 76.41it/s, Loss=0.00068, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:09<02:01, 76.54it/s, Loss=0.00068, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:09<02:01, 76.54it/s, Loss=0.00079, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:09<02:01, 76.84it/s, Loss=0.00079, L1 Loss=0.00016, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00057, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:09<02:01, 76.84it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:09<02:01, 76.93it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:09<02:01, 76.93it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:09<02:00, 77.08it/s, Loss=0.00075, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:09<02:00, 77.08it/s, Loss=0.00070, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:09<02:04, 74.33it/s, Loss=0.00070, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:09<02:04, 74.33it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<02:03, 75.00it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<02:03, 75.00it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<02:02, 75.79it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:10<02:02, 75.79it/s, Loss=0.00073, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:10<02:01, 76.08it/s, Loss=0.00073, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:10<02:01, 76.08it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:10<02:01, 76.08it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:10<02:01, 76.08it/s, Loss=0.00067, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:10<02:00, 76.44it/s, Loss=0.00067, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:10<02:00, 76.44it/s, Loss=0.00070, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:10<01:59, 76.92it/s, Loss=0.00070, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:10<01:59, 76.92it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:10<01:59, 76.93it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:10<01:59, 76.93it/s, Loss=0.00062, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:10<01:59, 76.98it/s, Loss=0.00062, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:10<01:59, 76.98it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:59, 77.23it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:59, 77.23it/s, Loss=0.00076, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<02:02, 74.88it/s, Loss=0.00076, L1 Loss=0.00019, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:11<02:02, 74.88it/s, Loss=0.00066, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:11<02:01, 75.58it/s, Loss=0.00066, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:11<02:01, 75.58it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:11<02:00, 76.26it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:11<02:00, 76.26it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:11<01:59, 76.76it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:11<01:59, 76.76it/s, Loss=0.00071, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:11<01:59, 76.88it/s, Loss=0.00071, L1 Loss=0.00014, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:11<01:59, 76.88it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:11<01:58, 77.24it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:11<01:58, 77.24it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:11<01:57, 77.49it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:11<01:57, 77.49it/s, Loss=0.00070, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:11<01:57, 77.40it/s, Loss=0.00070, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:12<01:57, 77.40it/s, Loss=0.00063, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:12<01:57, 77.36it/s, Loss=0.00063, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:12<01:57, 77.36it/s, Loss=0.00074, L1 Loss=0.00019, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:12<01:57, 77.43it/s, Loss=0.00074, L1 Loss=0.00019, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:12<01:57, 77.43it/s, Loss=0.00078, L1 Loss=0.00019, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:12<02:01, 75.06it/s, Loss=0.00078, L1 Loss=0.00019, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:12<02:01, 75.06it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:12<02:00, 75.56it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:12<02:00, 75.56it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:12<01:58, 76.22it/s, Loss=0.00076, L1 Loss=0.00015, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00053, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:12<01:58, 76.22it/s, Loss=0.00065, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:12<01:58, 76.52it/s, Loss=0.00065, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:12<01:58, 76.52it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:12<01:57, 76.74it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:12<01:57, 76.74it/s, Loss=0.00073, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:12<01:57, 76.95it/s, Loss=0.00073, L1 Loss=0.00014, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:13<01:57, 76.95it/s, Loss=0.00072, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:13<01:57, 77.17it/s, Loss=0.00072, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:13<01:57, 77.17it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:13<01:56, 77.18it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:13<01:56, 77.18it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:13<01:56, 77.29it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:13<01:56, 77.29it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:13<01:56, 77.37it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:13<01:56, 77.37it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:13<01:59, 74.99it/s, Loss=0.00074, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:13<01:59, 74.99it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:13<01:58, 75.98it/s, Loss=0.00068, L1 Loss=0.00014, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:13<01:58, 75.98it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:13<01:57, 76.51it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:13<01:57, 76.51it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:13<01:56, 76.99it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:14<01:56, 76.99it/s, Loss=0.00071, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:14<01:55, 77.33it/s, Loss=0.00071, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:14<01:55, 77.33it/s, Loss=0.00072, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:14<01:55, 77.47it/s, Loss=0.00072, L1 Loss=0.00014, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:14<01:55, 77.47it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:14<01:55, 77.63it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:14<01:55, 77.63it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:14<01:54, 77.71it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:14<01:54, 77.71it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:14<01:54, 77.61it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:14<01:54, 77.61it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:14<01:54, 77.70it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:14<01:54, 77.70it/s, Loss=0.00068, L1 Loss=0.00013, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:14<01:58, 75.23it/s, Loss=0.00068, L1 Loss=0.00013, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:15<01:58, 75.23it/s, Loss=0.00061, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:15<01:56, 76.16it/s, Loss=0.00061, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:15<01:56, 76.16it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:15<01:55, 76.74it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:15<01:55, 76.74it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:15<01:55, 76.99it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:15<01:55, 76.99it/s, Loss=0.00069, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:15<01:54, 77.25it/s, Loss=0.00069, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:15<01:54, 77.25it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:15<01:54, 77.40it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:15<01:54, 77.40it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:15<01:53, 77.53it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:15<01:53, 77.53it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:15<01:53, 77.83it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:15<01:53, 77.83it/s, Loss=0.00056, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:15<01:53, 77.69it/s, Loss=0.00056, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:16<01:53, 77.69it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:16<01:53, 77.33it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:16<01:53, 77.33it/s, Loss=0.00070, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:16<01:57, 74.74it/s, Loss=0.00070, L1 Loss=0.00013, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:16<01:57, 74.74it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:16<01:56, 75.37it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:16<01:56, 75.37it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:16<01:55, 75.91it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:16<01:55, 75.91it/s, Loss=0.00065, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:16<01:54, 76.46it/s, Loss=0.00065, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:16<01:54, 76.46it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:16<01:54, 76.56it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:16<01:54, 76.56it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:16<01:53, 76.74it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:16<01:53, 76.74it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:16<01:53, 76.89it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:17<01:53, 76.89it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:17<01:52, 77.30it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:17<01:52, 77.30it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:17<01:52, 77.26it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:17<01:52, 77.26it/s, Loss=0.00060, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:17<01:52, 77.41it/s, Loss=0.00060, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:17<01:52, 77.41it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:17<01:55, 75.15it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:17<01:55, 75.15it/s, Loss=0.00066, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:17<01:54, 75.63it/s, Loss=0.00066, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:17<01:54, 75.63it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:17<01:53, 76.16it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:17<01:53, 76.16it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:17<01:52, 76.64it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:18<01:52, 76.64it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:18<01:52, 77.01it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:18<01:52, 77.01it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:18<01:51, 77.33it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:18<01:51, 77.33it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:18<01:51, 77.57it/s, Loss=0.00065, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:18<01:51, 77.57it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:18<01:51, 77.53it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:18<01:51, 77.53it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:18<01:51, 77.56it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:18<01:51, 77.56it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:18<01:50, 77.52it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:18<01:50, 77.52it/s, Loss=0.00068, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:18<01:54, 75.04it/s, Loss=0.00068, L1 Loss=0.00012, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:18<01:54, 75.04it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:18<01:52, 75.99it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:19<01:52, 75.99it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:19<01:51, 76.55it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:19<01:51, 76.55it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:19<01:51, 77.09it/s, Loss=0.00066, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:19<01:51, 77.09it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:19<01:50, 77.20it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:19<01:50, 77.20it/s, Loss=0.00064, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:19<01:50, 77.46it/s, Loss=0.00064, L1 Loss=0.00013, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:19<01:50, 77.46it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:19<01:49, 77.64it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:19<01:49, 77.64it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:19<01:49, 77.74it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:19<01:49, 77.74it/s, Loss=0.00061, L1 Loss=0.00013, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:19<01:49, 77.77it/s, Loss=0.00061, L1 Loss=0.00013, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:19<01:49, 77.77it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:19<01:49, 77.98it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:20<01:49, 77.98it/s, Loss=0.00065, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:20<01:52, 75.19it/s, Loss=0.00065, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:20<01:52, 75.19it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:20<01:51, 76.10it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:20<01:51, 76.10it/s, Loss=0.00067, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:20<01:50, 76.86it/s, Loss=0.00067, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:20<01:50, 76.86it/s, Loss=0.00057, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:20<01:49, 77.37it/s, Loss=0.00057, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:20<01:49, 77.37it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:20<01:49, 77.49it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:20<01:49, 77.49it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:20<01:48, 77.62it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:20<01:48, 77.62it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:20<01:48, 77.59it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:20<01:48, 77.59it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:20<01:48, 77.76it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:21<01:48, 77.76it/s, Loss=0.00062, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:21<01:48, 77.70it/s, Loss=0.00062, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:21<01:48, 77.70it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:21<01:47, 77.89it/s, Loss=0.00057, L1 Loss=0.00013, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:21<01:47, 77.89it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:21<01:51, 75.28it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:21<01:51, 75.28it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:21<01:50, 75.92it/s, Loss=0.00060, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:21<01:50, 75.92it/s, Loss=0.00061, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:21<01:49, 76.31it/s, Loss=0.00061, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:21<01:49, 76.31it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:21<01:48, 76.79it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:21<01:48, 76.79it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:21<01:48, 76.88it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:22<01:48, 76.88it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:22<01:48, 77.00it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:22<01:48, 77.00it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:22<01:47, 77.29it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:22<01:47, 77.29it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:22<01:47, 77.36it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:22<01:47, 77.36it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:22<01:47, 77.59it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:22<01:47, 77.59it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:22<01:47, 77.50it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:22<01:47, 77.50it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:22<01:50, 74.81it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:22<01:50, 74.81it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:22<01:49, 75.28it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:22<01:49, 75.28it/s, Loss=0.00066, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:22<01:49, 75.78it/s, Loss=0.00066, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:23<01:49, 75.78it/s, Loss=0.00058, L1 Loss=0.00012, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:23<01:48, 76.31it/s, Loss=0.00058, L1 Loss=0.00012, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:23<01:48, 76.31it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:23<01:47, 76.84it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:23<01:47, 76.84it/s, Loss=0.00057, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:23<01:46, 77.10it/s, Loss=0.00057, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:23<01:46, 77.10it/s, Loss=0.00056, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:23<01:46, 77.18it/s, Loss=0.00056, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:23<01:46, 77.18it/s, Loss=0.00055, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:23<01:45, 77.57it/s, Loss=0.00055, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:23<01:45, 77.57it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:23<01:45, 77.57it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:23<01:45, 77.57it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:23<01:45, 77.52it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:24<01:45, 77.52it/s, Loss=0.00068, L1 Loss=0.00011, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:24<01:49, 75.11it/s, Loss=0.00068, L1 Loss=0.00011, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:24<01:49, 75.11it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:24<01:47, 75.93it/s, Loss=0.00063, L1 Loss=0.00012, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:24<01:47, 75.93it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:24<01:46, 76.55it/s, Loss=0.00051, L1 Loss=0.00011, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:24<01:46, 76.55it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:24<01:46, 76.79it/s, Loss=0.00058, L1 Loss=0.00013, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:24<01:46, 76.79it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:24<01:45, 77.09it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:24<01:45, 77.09it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:24<01:45, 77.28it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:24<01:45, 77.28it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:24<01:44, 77.45it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:24<01:44, 77.45it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:24<01:44, 77.50it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:25<01:44, 77.50it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:25<01:44, 77.46it/s, Loss=0.00064, L1 Loss=0.00012, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:25<01:44, 77.46it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:25<01:44, 77.75it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:25<01:44, 77.75it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:25<01:47, 75.32it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:25<01:47, 75.32it/s, Loss=0.00063, L1 Loss=0.00011, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:25<01:46, 76.08it/s, Loss=0.00063, L1 Loss=0.00011, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:25<01:46, 76.08it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:25<01:45, 76.53it/s, Loss=0.00054, L1 Loss=0.00011, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:25<01:45, 76.53it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:25<01:45, 76.58it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:25<01:45, 76.58it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:25<01:44, 77.01it/s, Loss=0.00054, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:25<01:44, 77.01it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:25<01:44, 77.18it/s, Loss=0.00060, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:26<01:44, 77.18it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:26<01:43, 77.29it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:26<01:43, 77.29it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:26<01:43, 77.60it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:26<01:43, 77.60it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:26<01:43, 77.53it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:26<01:43, 77.53it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:26<01:42, 77.68it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:26<01:42, 77.68it/s, Loss=0.00056, L1 Loss=0.00013, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:26<01:46, 75.33it/s, Loss=0.00056, L1 Loss=0.00013, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:26<01:46, 75.33it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:26<01:44, 76.12it/s, Loss=0.00060, L1 Loss=0.00012, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:26<01:44, 76.12it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:26<01:44, 76.59it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:26<01:44, 76.59it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:26<01:44, 76.49it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:27<01:44, 76.49it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:27<01:43, 76.76it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:27<01:43, 76.76it/s, Loss=0.00059, L1 Loss=0.00011, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:27<01:42, 77.13it/s, Loss=0.00059, L1 Loss=0.00011, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:27<01:42, 77.13it/s, Loss=0.00057, L1 Loss=0.00012, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:27<01:42, 77.65it/s, Loss=0.00057, L1 Loss=0.00012, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:27<01:42, 77.65it/s, Loss=0.00062, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:27<01:41, 77.68it/s, Loss=0.00062, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:27<01:41, 77.68it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:27<01:42, 77.54it/s, Loss=0.00062, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:27<01:42, 77.54it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:27<01:42, 77.44it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:27<01:42, 77.44it/s, Loss=0.00061, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:27<01:45, 75.07it/s, Loss=0.00061, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:28<01:45, 75.07it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:28<01:43, 75.95it/s, Loss=0.00056, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:28<01:43, 75.95it/s, Loss=0.00059, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:28<01:42, 76.42it/s, Loss=0.00059, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:28<01:42, 76.42it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:28<01:42, 76.69it/s, Loss=0.00055, L1 Loss=0.00011, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:28<01:42, 76.69it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:28<01:42, 76.91it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:28<01:42, 76.91it/s, Loss=0.00049, L1 Loss=0.00010, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:28<01:41, 77.24it/s, Loss=0.00049, L1 Loss=0.00010, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:28<01:41, 77.24it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:28<01:41, 77.45it/s, Loss=0.00052, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:28<01:41, 77.45it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:28<01:40, 77.46it/s, Loss=0.00057, L1 Loss=0.00011, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:28<01:40, 77.46it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:28<01:40, 77.53it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:29<01:40, 77.53it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:29<01:40, 77.87it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:29<01:40, 77.87it/s, Loss=0.00049, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:29<01:43, 75.57it/s, Loss=0.00049, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:29<01:43, 75.57it/s, Loss=0.00058, L1 Loss=0.00012, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:29<01:41, 76.33it/s, Loss=0.00058, L1 Loss=0.00012, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:29<01:41, 76.33it/s, Loss=0.00058, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:29<01:41, 76.76it/s, Loss=0.00058, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:29<01:41, 76.76it/s, Loss=0.00059, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:29<01:40, 77.32it/s, Loss=0.00059, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:29<01:40, 77.32it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:29<01:39, 77.63it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:29<01:39, 77.63it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:29<01:39, 77.58it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:29<01:39, 77.58it/s, Loss=0.00053, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:29<01:39, 77.58it/s, Loss=0.00053, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:30<01:39, 77.58it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:30<01:39, 77.86it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:30<01:39, 77.86it/s, Loss=0.00058, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:30<01:38, 77.90it/s, Loss=0.00058, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:30<01:38, 77.90it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:30<01:38, 77.85it/s, Loss=0.00055, L1 Loss=0.00010, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:30<01:38, 77.85it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:30<01:41, 75.40it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:30<01:41, 75.40it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:30<01:41, 76.03it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:30<01:41, 76.03it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:30<01:40, 76.59it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:30<01:40, 76.59it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:30<01:39, 76.77it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:31<01:39, 76.77it/s, Loss=0.00057, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:31<01:39, 76.94it/s, Loss=0.00057, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:31<01:39, 76.94it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:31<01:38, 77.26it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:31<01:38, 77.26it/s, Loss=0.00056, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:31<01:38, 77.19it/s, Loss=0.00056, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:31<01:38, 77.19it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:31<01:38, 77.32it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:31<01:38, 77.32it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:31<01:38, 77.39it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:31<01:38, 77.39it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:31<01:37, 77.61it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:31<01:37, 77.61it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:31<01:41, 75.06it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:31<01:41, 75.06it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:31<01:39, 75.92it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:32<01:39, 75.92it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:32<01:39, 76.35it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:32<01:39, 76.35it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:32<01:38, 76.93it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:32<01:38, 76.93it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:32<01:37, 77.16it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:32<01:37, 77.16it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:32<01:37, 77.48it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:32<01:37, 77.48it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:32<01:36, 77.64it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:32<01:36, 77.64it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:32<01:36, 77.77it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:32<01:36, 77.77it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:32<01:36, 77.69it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:32<01:36, 77.69it/s, Loss=0.00053, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:32<01:36, 77.71it/s, Loss=0.00053, L1 Loss=0.00010, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:33<01:36, 77.71it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:33<01:39, 75.10it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:33<01:39, 75.10it/s, Loss=0.00047, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:33<01:38, 76.00it/s, Loss=0.00047, L1 Loss=0.00010, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:33<01:38, 76.00it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:33<01:37, 76.56it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:33<01:37, 76.56it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:33<01:36, 77.03it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:33<01:36, 77.03it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:33<01:36, 77.27it/s, Loss=0.00054, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:33<01:36, 77.27it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:33<01:36, 77.43it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:33<01:36, 77.43it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:33<01:36, 77.24it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:33<01:36, 77.24it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:33<01:35, 77.49it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:34<01:35, 77.49it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:34<01:35, 77.68it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:34<01:35, 77.68it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:34<01:35, 77.76it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:34<01:35, 77.76it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:34<01:38, 75.31it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:34<01:38, 75.31it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:34<01:36, 76.25it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:34<01:36, 76.25it/s, Loss=0.00040, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:34<01:36, 76.75it/s, Loss=0.00040, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:34<01:36, 76.75it/s, Loss=0.00045, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:34<01:35, 77.09it/s, Loss=0.00045, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:34<01:35, 77.09it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:34<01:34, 77.59it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:35<01:34, 77.59it/s, Loss=0.00052, L1 Loss=0.00011, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:35<01:34, 77.72it/s, Loss=0.00052, L1 Loss=0.00011, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:35<01:34, 77.72it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:35<01:34, 77.90it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:35<01:34, 77.90it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:35<01:33, 77.90it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:35<01:33, 77.90it/s, Loss=0.00055, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:35<01:33, 78.05it/s, Loss=0.00055, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:35<01:33, 78.05it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:35<01:33, 78.17it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:35<01:33, 78.17it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:35<01:36, 75.86it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:35<01:36, 75.86it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:35<01:35, 76.44it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:35<01:35, 76.44it/s, Loss=0.00053, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:35<01:34, 76.84it/s, Loss=0.00053, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:36<01:34, 76.84it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:36<01:33, 77.36it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:36<01:33, 77.36it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:36<01:33, 77.74it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:36<01:33, 77.74it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:36<01:32, 77.96it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:36<01:32, 77.96it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:36<01:32, 77.96it/s, Loss=0.00041, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:36<01:32, 77.96it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:36<01:32, 78.07it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:36<01:32, 78.07it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:36<01:32, 78.12it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:36<01:32, 78.12it/s, Loss=0.00053, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:36<01:32, 78.20it/s, Loss=0.00053, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:36<01:32, 78.20it/s, Loss=0.00051, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:36<01:34, 75.75it/s, Loss=0.00051, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:37<01:34, 75.75it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:37<01:33, 76.60it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:37<01:33, 76.60it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:37<01:32, 77.19it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:37<01:32, 77.19it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:37<01:32, 77.69it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:37<01:32, 77.69it/s, Loss=0.00054, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:37<01:31, 77.84it/s, Loss=0.00054, L1 Loss=0.00008, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:37<01:31, 77.84it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:37<01:31, 77.90it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:37<01:31, 77.90it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:37<01:31, 78.01it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:37<01:31, 78.01it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:37<01:31, 78.03it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:38<01:31, 78.03it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:38<01:31, 78.06it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:38<01:31, 78.06it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:38<01:31, 77.99it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:38<01:31, 77.99it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:38<01:33, 75.64it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:38<01:33, 75.64it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:38<01:32, 76.46it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:38<01:32, 76.46it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:38<01:31, 77.05it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:38<01:31, 77.05it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:38<01:30, 77.70it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:38<01:30, 77.70it/s, Loss=0.00042, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:38<01:30, 78.07it/s, Loss=0.00042, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:38<01:30, 78.07it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:38<01:29, 78.31it/s, Loss=0.00051, L1 Loss=0.00009, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:39<01:29, 78.31it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:39<01:29, 78.38it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:39<01:29, 78.38it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:39<01:29, 78.48it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:39<01:29, 78.48it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:39<01:29, 78.40it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:39<01:29, 78.40it/s, Loss=0.00042, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:39<01:29, 78.28it/s, Loss=0.00042, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:39<01:29, 78.28it/s, Loss=0.00319, L1 Loss=0.00040, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00169, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:39<01:32, 75.72it/s, Loss=0.00319, L1 Loss=0.00040, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00169, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:39<01:32, 75.72it/s, Loss=0.00155, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:39<01:31, 75.98it/s, Loss=0.00155, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:39<01:31, 75.98it/s, Loss=0.00091, L1 Loss=0.00019, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:39<01:31, 75.93it/s, Loss=0.00091, L1 Loss=0.00019, Depth Loss=0.00098, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:39<01:31, 75.93it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:39<01:31, 76.07it/s, Loss=0.00062, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:40<01:31, 76.07it/s, Loss=0.00059, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:40<01:31, 75.71it/s, Loss=0.00059, L1 Loss=0.00010, Depth Loss=0.00038, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:40<01:31, 75.71it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:40<01:31, 75.99it/s, Loss=0.00050, L1 Loss=0.00010, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:40<01:31, 75.99it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:40<01:31, 76.06it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:40<01:31, 76.06it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:40<01:30, 76.13it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:40<01:30, 76.13it/s, Loss=0.00056, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:40<01:30, 76.04it/s, Loss=0.00056, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:40<01:30, 76.04it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:40<01:30, 75.83it/s, Loss=0.00048, L1 Loss=0.00010, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:40<01:30, 75.83it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:40<01:33, 73.61it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:41<01:33, 73.61it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:41<01:32, 74.36it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:41<01:32, 74.36it/s, Loss=0.00054, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:41<01:31, 75.14it/s, Loss=0.00054, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:41<01:31, 75.14it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:41<01:30, 75.67it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:41<01:30, 75.67it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:41<01:30, 76.01it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:41<01:30, 76.01it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:41<01:29, 76.45it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:41<01:29, 76.45it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:41<01:29, 76.59it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:41<01:29, 76.59it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:41<01:28, 76.82it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:41<01:28, 76.82it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:41<01:28, 76.74it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:42<01:28, 76.74it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:42<01:28, 76.61it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:42<01:28, 76.61it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:42<01:31, 74.15it/s, Loss=0.00054, L1 Loss=0.00010, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:42<01:31, 74.15it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:42<01:30, 74.99it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:42<01:30, 74.99it/s, Loss=0.00055, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:42<01:29, 75.58it/s, Loss=0.00055, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:42<01:29, 75.58it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:42<01:28, 75.98it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:42<01:28, 75.98it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:42<01:28, 76.21it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:42<01:28, 76.21it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:42<01:28, 76.46it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:42<01:28, 76.46it/s, Loss=0.00042, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:42<01:27, 76.59it/s, Loss=0.00042, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:43<01:27, 76.59it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:43<01:27, 76.56it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:43<01:27, 76.56it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:43<01:27, 76.52it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:43<01:27, 76.52it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:43<01:27, 76.47it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:43<01:27, 76.47it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:43<01:30, 74.13it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:43<01:30, 74.13it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:43<01:29, 74.74it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:43<01:29, 74.74it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:43<01:28, 75.38it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:43<01:28, 75.38it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:43<01:27, 75.83it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:44<01:27, 75.83it/s, Loss=0.00040, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:44<01:27, 76.16it/s, Loss=0.00040, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:44<01:27, 76.16it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:44<01:27, 76.24it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:44<01:27, 76.24it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:44<01:26, 76.26it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:44<01:26, 76.26it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:44<01:26, 76.50it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:44<01:26, 76.50it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:44<01:26, 76.50it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:44<01:26, 76.50it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:44<01:25, 76.76it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:44<01:25, 76.76it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:44<01:28, 74.31it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:44<01:28, 74.31it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:44<01:27, 75.04it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:45<01:27, 75.04it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:45<01:26, 75.54it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:45<01:26, 75.54it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:45<01:26, 75.99it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:45<01:26, 75.99it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:45<01:25, 76.33it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:45<01:25, 76.33it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:45<01:25, 76.48it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:45<01:25, 76.48it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:45<01:25, 76.51it/s, Loss=0.00053, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:45<01:25, 76.51it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:45<01:25, 76.58it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:45<01:25, 76.58it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:45<01:25, 76.55it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:46<01:25, 76.55it/s, Loss=0.00039, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:46<01:24, 76.50it/s, Loss=0.00039, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:46<01:24, 76.50it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:46<01:27, 74.05it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:46<01:27, 74.05it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:46<01:26, 74.63it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:46<01:26, 74.63it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:46<01:25, 75.44it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:46<01:25, 75.44it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:46<01:25, 75.84it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:46<01:25, 75.84it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:46<01:24, 76.22it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:46<01:24, 76.22it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:46<01:24, 76.54it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:46<01:24, 76.54it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:46<01:23, 76.75it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:47<01:23, 76.75it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:47<01:23, 76.56it/s, Loss=0.00042, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:47<01:23, 76.56it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:47<01:23, 76.60it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:47<01:23, 76.60it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:47<01:23, 76.74it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:47<01:23, 76.74it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:47<01:25, 74.44it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:47<01:25, 74.44it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:47<01:24, 75.23it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:47<01:24, 75.23it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:47<01:24, 75.67it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:47<01:24, 75.67it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:47<01:23, 76.26it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:47<01:23, 76.26it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:47<01:23, 76.50it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:48<01:23, 76.50it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:48<01:22, 76.60it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:48<01:22, 76.60it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:48<01:22, 76.66it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:48<01:22, 76.66it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:48<01:22, 76.84it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:48<01:22, 76.84it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:48<01:22, 76.90it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:48<01:22, 76.90it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:48<01:21, 76.97it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:48<01:21, 76.97it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:48<01:24, 74.61it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:48<01:24, 74.61it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:48<01:23, 75.47it/s, Loss=0.00044, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:49<01:23, 75.47it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:49<01:22, 76.02it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:49<01:22, 76.02it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:49<01:22, 76.33it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:49<01:22, 76.33it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:49<01:21, 76.50it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:49<01:21, 76.50it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:49<01:21, 76.75it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:49<01:21, 76.75it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:49<01:20, 76.98it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:49<01:20, 76.98it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:49<01:20, 77.17it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:49<01:20, 77.17it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:49<01:20, 77.46it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:49<01:20, 77.46it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:49<01:20, 77.45it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:50<01:20, 77.45it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:50<01:22, 74.81it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:50<01:22, 74.81it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:50<01:21, 75.41it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:50<01:21, 75.41it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:50<01:21, 75.96it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:50<01:21, 75.96it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:50<01:20, 76.27it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:50<01:20, 76.27it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:50<01:20, 76.73it/s, Loss=0.00050, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:50<01:20, 76.73it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:50<01:19, 76.93it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:50<01:19, 76.93it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:50<01:19, 77.17it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:50<01:19, 77.17it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:50<01:19, 77.42it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:51<01:19, 77.42it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:51<01:18, 77.44it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:51<01:18, 77.44it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:51<01:18, 77.38it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:51<01:18, 77.38it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:51<01:21, 74.57it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:51<01:21, 74.57it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:51<01:20, 75.49it/s, Loss=0.00048, L1 Loss=0.00009, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:51<01:20, 75.49it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:51<01:19, 76.07it/s, Loss=0.00052, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:51<01:19, 76.07it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:51<01:19, 76.45it/s, Loss=0.00044, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:51<01:19, 76.45it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:51<01:19, 76.35it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:52<01:19, 76.35it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:52<01:18, 76.49it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:52<01:18, 76.49it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:52<01:18, 76.70it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:52<01:18, 76.70it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:52<01:18, 76.94it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:52<01:18, 76.94it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:52<01:18, 77.01it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:52<01:18, 77.01it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:52<01:17, 77.16it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:52<01:17, 77.16it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:52<01:20, 74.58it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:52<01:20, 74.58it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:52<01:19, 75.63it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:52<01:19, 75.63it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:52<01:18, 76.21it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:53<01:18, 76.21it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:53<01:17, 76.59it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:53<01:17, 76.59it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:53<01:17, 77.12it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:53<01:17, 77.12it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:53<01:16, 77.38it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:53<01:16, 77.38it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:53<01:16, 77.48it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:53<01:16, 77.48it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:53<01:16, 77.65it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:53<01:16, 77.65it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:53<01:15, 77.84it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:53<01:15, 77.84it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:53<01:15, 77.84it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:54<01:15, 77.84it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:54<01:18, 75.27it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:54<01:18, 75.27it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:54<01:17, 76.02it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:54<01:17, 76.02it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:54<01:16, 76.73it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:54<01:16, 76.73it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:54<01:16, 76.87it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:54<01:16, 76.87it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:54<01:15, 77.06it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:54<01:15, 77.06it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:54<01:15, 77.28it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:54<01:15, 77.28it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:54<01:15, 77.44it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:54<01:15, 77.44it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:54<01:15, 77.47it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:55<01:15, 77.47it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:55<01:14, 77.51it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:55<01:14, 77.51it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:55<01:14, 77.57it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:55<01:14, 77.57it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:55<01:17, 75.18it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:55<01:17, 75.18it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:55<01:16, 75.79it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:55<01:16, 75.79it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:55<01:15, 76.47it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:55<01:15, 76.47it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:55<01:14, 76.87it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:55<01:14, 76.87it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:55<01:14, 76.92it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:55<01:14, 76.92it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:55<01:14, 77.05it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:56<01:14, 77.05it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:56<01:14, 77.17it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:56<01:14, 77.17it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:56<01:13, 77.30it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:56<01:13, 77.30it/s, Loss=0.00045, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:56<01:13, 77.32it/s, Loss=0.00045, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:56<01:13, 77.32it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:56<01:13, 77.43it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:56<01:13, 77.43it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:56<01:16, 74.75it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:56<01:16, 74.75it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:56<01:15, 75.34it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:56<01:15, 75.34it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:56<01:14, 76.00it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:57<01:14, 76.00it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:57<01:14, 76.30it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:57<01:14, 76.30it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:57<01:13, 76.66it/s, Loss=0.00050, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:57<01:13, 76.66it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:57<01:13, 76.98it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:57<01:13, 76.98it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:57<01:12, 77.21it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:57<01:12, 77.21it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:57<01:12, 77.45it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:57<01:12, 77.45it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:57<01:12, 77.27it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:57<01:12, 77.27it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:57<01:12, 77.39it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:57<01:12, 77.39it/s, Loss=0.00038, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:57<01:14, 75.08it/s, Loss=0.00038, L1 Loss=0.00007, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:58<01:14, 75.08it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:58<01:13, 76.04it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:58<01:13, 76.04it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:58<01:12, 76.57it/s, Loss=0.00049, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:58<01:12, 76.57it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:58<01:12, 77.04it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:58<01:12, 77.04it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:58<01:11, 77.50it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:58<01:11, 77.50it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:58<01:11, 77.66it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:58<01:11, 77.66it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:58<01:11, 77.75it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:58<01:11, 77.75it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:58<01:10, 77.80it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:58<01:10, 77.80it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:58<01:10, 77.96it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:59<01:10, 77.96it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:59<01:10, 78.01it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:59<01:10, 78.01it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:59<01:12, 75.50it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:59<01:12, 75.50it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:59<01:11, 76.16it/s, Loss=0.00041, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:59<01:11, 76.16it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:59<01:11, 76.47it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:59<01:11, 76.47it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:59<01:11, 76.90it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:59<01:11, 76.90it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:59<01:10, 77.21it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:59<01:10, 77.21it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:59<01:10, 77.32it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:59<01:10, 77.32it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:59<01:10, 77.45it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [01:00<01:10, 77.45it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [01:00<01:09, 77.55it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [01:00<01:09, 77.55it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [01:00<01:09, 77.70it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [01:00<01:09, 77.70it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [01:00<01:09, 77.79it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [01:00<01:09, 77.79it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [01:00<01:11, 75.52it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [01:00<01:11, 75.52it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [01:00<01:10, 75.91it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [01:00<01:10, 75.91it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [01:00<01:10, 76.43it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [01:00<01:10, 76.43it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [01:00<01:09, 76.71it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [01:01<01:09, 76.71it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [01:01<01:09, 76.86it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [01:01<01:09, 76.86it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [01:01<01:09, 77.00it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [01:01<01:09, 77.00it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [01:01<01:09, 76.92it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [01:01<01:09, 76.92it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [01:01<01:09, 77.10it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [01:01<01:09, 77.10it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [01:01<01:08, 77.29it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [01:01<01:08, 77.29it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [01:01<01:08, 77.42it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [01:01<01:08, 77.42it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [01:01<01:10, 74.95it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [01:01<01:10, 74.95it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [01:01<01:09, 75.70it/s, Loss=0.00045, L1 Loss=0.00008, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [01:02<01:09, 75.70it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [01:02<01:09, 76.37it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [01:02<01:09, 76.37it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [01:02<01:08, 76.73it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [01:02<01:08, 76.73it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [01:02<01:08, 77.20it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [01:02<01:08, 77.20it/s, Loss=0.00040, L1 Loss=0.00007, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [01:02<01:07, 77.59it/s, Loss=0.00040, L1 Loss=0.00007, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [01:02<01:07, 77.59it/s, Loss=0.00039, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [01:02<01:07, 77.64it/s, Loss=0.00039, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [01:02<01:07, 77.64it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [01:02<01:07, 77.56it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [01:02<01:07, 77.56it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [01:02<01:07, 77.71it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [01:02<01:07, 77.71it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [01:02<01:06, 77.81it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [01:03<01:06, 77.81it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [01:03<01:08, 75.32it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [01:03<01:08, 75.32it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [01:03<01:08, 76.06it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [01:03<01:08, 76.06it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [01:03<01:07, 76.31it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [01:03<01:07, 76.31it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [01:03<01:07, 76.68it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [01:03<01:07, 76.68it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [01:03<01:07, 76.85it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [01:03<01:07, 76.85it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [01:03<01:06, 77.25it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [01:03<01:06, 77.25it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [01:03<01:06, 77.61it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [01:04<01:06, 77.61it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [01:04<01:05, 77.66it/s, Loss=0.00047, L1 Loss=0.00009, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [01:04<01:05, 77.66it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [01:04<01:05, 77.75it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [01:04<01:05, 77.75it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [01:04<01:05, 77.83it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [01:04<01:05, 77.83it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [01:04<01:07, 75.59it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [01:04<01:07, 75.59it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [01:04<01:06, 76.29it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [01:04<01:06, 76.29it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [01:04<01:06, 76.65it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [01:04<01:06, 76.65it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [01:04<01:05, 76.89it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [01:04<01:05, 76.89it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [01:04<01:05, 77.12it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [01:05<01:05, 77.12it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:05<01:05, 77.30it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:05<01:05, 77.30it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:05<01:04, 77.61it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:05<01:04, 77.61it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:05<01:04, 77.68it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:05<01:04, 77.68it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:05<01:04, 77.87it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:05<01:04, 77.87it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:05<01:04, 77.98it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:05<01:04, 77.98it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:05<01:06, 75.47it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:05<01:06, 75.47it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:05<01:05, 76.33it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:05<01:05, 76.33it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:05<01:04, 76.89it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:06<01:04, 76.89it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:06<01:04, 77.25it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:06<01:04, 77.25it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:06<01:03, 77.52it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:06<01:03, 77.52it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:06<01:03, 77.62it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:06<01:03, 77.62it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:06<01:03, 77.53it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:06<01:03, 77.53it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:06<01:03, 77.82it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:06<01:03, 77.82it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:06<01:02, 78.02it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:06<01:02, 78.02it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:06<01:02, 77.87it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:07<01:02, 77.87it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:07<01:05, 75.16it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:07<01:05, 75.16it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:07<01:04, 75.99it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:07<01:04, 75.99it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:07<01:03, 76.56it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:07<01:03, 76.56it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:07<01:02, 77.20it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:07<01:02, 77.20it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:07<01:02, 77.59it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:07<01:02, 77.59it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:07<01:02, 77.74it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:07<01:02, 77.74it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:07<01:02, 77.88it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:07<01:02, 77.88it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:07<01:01, 77.95it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:08<01:01, 77.95it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:08<01:01, 77.87it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:08<01:01, 77.87it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:08<01:01, 78.01it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:08<01:01, 78.01it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:08<01:03, 75.54it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:08<01:03, 75.54it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:08<01:02, 76.43it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:08<01:02, 76.43it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:08<01:02, 76.91it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:08<01:02, 76.91it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:08<01:01, 77.23it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:08<01:01, 77.23it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:08<01:01, 77.57it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:08<01:01, 77.57it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:08<01:00, 77.78it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:09<01:00, 77.78it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:09<01:00, 77.84it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:09<01:00, 77.84it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:09<01:00, 77.87it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:09<01:00, 77.87it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:09<01:00, 78.05it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:09<01:00, 78.05it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:09<01:00, 78.05it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:09<01:00, 78.05it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:09<01:02, 75.56it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:09<01:02, 75.56it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:09<01:01, 76.34it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:09<01:01, 76.34it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:09<01:00, 76.94it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:09<01:00, 76.94it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:09<01:00, 77.18it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:10<01:00, 77.18it/s, Loss=0.00046, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:10<00:59, 77.50it/s, Loss=0.00046, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:10<00:59, 77.50it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:10<00:59, 77.84it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:10<00:59, 77.84it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:10<00:59, 78.05it/s, Loss=0.00051, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:10<00:59, 78.05it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:10<00:59, 78.25it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:10<00:59, 78.25it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:10<00:59, 78.06it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:10<00:59, 78.06it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:10<00:58, 78.16it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:10<00:58, 78.16it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:10<01:00, 75.60it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:11<01:00, 75.60it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:11<01:00, 76.22it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:11<01:00, 76.22it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:11<00:59, 76.83it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:11<00:59, 76.83it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:11<00:59, 77.25it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:11<00:59, 77.25it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:11<00:58, 77.69it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:11<00:58, 77.69it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:11<00:58, 77.87it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:11<00:58, 77.87it/s, Loss=0.00047, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:11<00:58, 77.94it/s, Loss=0.00047, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:11<00:58, 77.94it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:11<00:57, 78.11it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:11<00:57, 78.11it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:11<00:57, 78.20it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:12<00:57, 78.20it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:12<00:57, 78.10it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:12<00:57, 78.10it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:12<00:59, 75.62it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:12<00:59, 75.62it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:12<00:58, 76.52it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:12<00:58, 76.52it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:12<00:58, 76.99it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:12<00:58, 76.99it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:12<00:57, 77.46it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:12<00:57, 77.46it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:12<00:57, 77.89it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:12<00:57, 77.89it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:12<00:56, 78.10it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:12<00:56, 78.10it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:12<00:56, 77.97it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:13<00:56, 77.97it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:13<00:56, 78.16it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:13<00:56, 78.16it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:13<00:56, 78.26it/s, Loss=0.00048, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:13<00:56, 78.26it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:13<00:56, 78.31it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:13<00:56, 78.31it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:13<00:57, 75.98it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:13<00:57, 75.98it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:13<00:57, 76.65it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:13<00:57, 76.65it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:13<00:56, 76.79it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:13<00:56, 76.79it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:13<00:56, 77.19it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:13<00:56, 77.19it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:13<00:56, 77.49it/s, Loss=0.00034, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:14<00:56, 77.49it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:14<00:56, 77.35it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:14<00:56, 77.35it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:14<00:55, 77.36it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:14<00:55, 77.36it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:14<00:55, 77.74it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:14<00:55, 77.74it/s, Loss=0.00046, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:14<00:55, 77.76it/s, Loss=0.00046, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:14<00:55, 77.76it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:14<00:55, 77.96it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:14<00:55, 77.96it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:14<00:56, 75.37it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:14<00:56, 75.37it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:14<00:56, 76.25it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:15<00:56, 76.25it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:15<00:55, 76.87it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:15<00:55, 76.87it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:15<00:55, 77.30it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:15<00:55, 77.30it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:15<00:54, 77.66it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:15<00:54, 77.66it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:15<00:54, 77.89it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:15<00:54, 77.89it/s, Loss=0.00042, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:15<00:54, 77.93it/s, Loss=0.00042, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:15<00:54, 77.93it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:15<00:53, 78.22it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:15<00:53, 78.22it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:15<00:53, 78.25it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:15<00:53, 78.25it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:15<00:53, 78.48it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:16<00:53, 78.48it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:16<00:55, 76.00it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:16<00:55, 76.00it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:16<00:54, 76.59it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:16<00:54, 76.59it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:16<00:54, 77.04it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:16<00:54, 77.04it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:16<00:53, 77.45it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:16<00:53, 77.45it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:16<00:53, 77.69it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:16<00:53, 77.69it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:16<00:53, 77.82it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:16<00:53, 77.82it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:16<00:52, 78.00it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:16<00:52, 78.00it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:16<00:52, 78.11it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:17<00:52, 78.11it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:17<00:52, 78.24it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:17<00:52, 78.24it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:17<00:52, 78.24it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:17<00:52, 78.24it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:17<00:53, 75.88it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:17<00:53, 75.88it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:17<00:53, 76.65it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:17<00:53, 76.65it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:17<00:52, 77.12it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:17<00:52, 77.12it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:17<00:52, 77.59it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:17<00:52, 77.59it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:17<00:51, 77.90it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:17<00:51, 77.90it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:17<00:51, 78.16it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:18<00:51, 78.16it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:18<00:51, 78.36it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:18<00:51, 78.36it/s, Loss=0.00041, L1 Loss=0.00008, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:18<00:51, 78.38it/s, Loss=0.00041, L1 Loss=0.00008, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:18<00:51, 78.38it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:18<00:51, 78.43it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:18<00:51, 78.43it/s, Loss=0.00041, L1 Loss=0.00008, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:18<00:50, 78.53it/s, Loss=0.00041, L1 Loss=0.00008, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:18<00:50, 78.53it/s, Loss=0.00346, L1 Loss=0.00035, Depth Loss=0.00019, Normal Loss=0.00000, Seg Loss=0.00147, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:18<00:52, 75.69it/s, Loss=0.00346, L1 Loss=0.00035, Depth Loss=0.00019, Normal Loss=0.00000, Seg Loss=0.00147, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:18<00:52, 75.69it/s, Loss=0.00139, L1 Loss=0.00018, Depth Loss=0.00110, Normal Loss=0.00000, Seg Loss=0.00081, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:18<00:52, 75.73it/s, Loss=0.00139, L1 Loss=0.00018, Depth Loss=0.00110, Normal Loss=0.00000, Seg Loss=0.00081, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:18<00:52, 75.73it/s, Loss=0.00065, L1 Loss=0.00010, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:18<00:52, 75.67it/s, Loss=0.00065, L1 Loss=0.00010, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:19<00:52, 75.67it/s, Loss=0.00059, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:19<00:52, 75.84it/s, Loss=0.00059, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:19<00:52, 75.84it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:19<00:52, 75.62it/s, Loss=0.00042, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:19<00:52, 75.62it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:19<00:52, 75.60it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:19<00:52, 75.60it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:19<00:52, 75.50it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:19<00:52, 75.50it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:19<00:52, 75.31it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:19<00:52, 75.31it/s, Loss=0.00052, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:19<00:51, 75.46it/s, Loss=0.00052, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:19<00:51, 75.46it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:19<00:51, 75.34it/s, Loss=0.00047, L1 Loss=0.00008, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:19<00:51, 75.34it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:19<00:53, 72.99it/s, Loss=0.00036, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:20<00:53, 72.99it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:20<00:52, 73.83it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:20<00:52, 73.83it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:20<00:52, 74.41it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:20<00:52, 74.41it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:20<00:51, 74.72it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:20<00:51, 74.72it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:20<00:51, 75.32it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:20<00:51, 75.32it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:20<00:50, 75.37it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:20<00:50, 75.37it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:20<00:50, 75.51it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:20<00:50, 75.51it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:20<00:50, 75.76it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:21<00:50, 75.76it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:21<00:50, 75.84it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:21<00:50, 75.84it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:21<00:49, 76.00it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:21<00:49, 76.00it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:21<00:51, 73.96it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:21<00:51, 73.96it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:21<00:50, 74.69it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:21<00:50, 74.69it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:21<00:50, 75.23it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:21<00:50, 75.23it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:21<00:49, 75.59it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:21<00:49, 75.59it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:21<00:49, 76.07it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:21<00:49, 76.07it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:21<00:49, 76.31it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:22<00:49, 76.31it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:22<00:48, 76.54it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:22<00:48, 76.54it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:22<00:48, 76.56it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:22<00:48, 76.56it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:22<00:48, 76.61it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:22<00:48, 76.61it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:22<00:48, 76.71it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:22<00:48, 76.71it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:22<00:49, 74.25it/s, Loss=0.00043, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:22<00:49, 74.25it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:22<00:49, 74.96it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:22<00:49, 74.96it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:22<00:48, 75.23it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:23<00:48, 75.23it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:23<00:48, 75.76it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:23<00:48, 75.76it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:23<00:48, 75.99it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:23<00:48, 75.99it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:23<00:47, 76.10it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:23<00:47, 76.10it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:23<00:47, 75.78it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:23<00:47, 75.78it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:23<00:47, 75.97it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:23<00:47, 75.97it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:23<00:47, 76.03it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:23<00:47, 76.03it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:23<00:47, 76.09it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:23<00:47, 76.09it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:23<00:48, 73.77it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:24<00:48, 73.77it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:24<00:47, 74.75it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:24<00:47, 74.75it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:24<00:47, 75.21it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:24<00:47, 75.21it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:24<00:46, 75.75it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:24<00:46, 75.75it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:24<00:46, 75.90it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:24<00:46, 75.90it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:24<00:46, 76.08it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:24<00:46, 76.08it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:24<00:46, 76.14it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:24<00:46, 76.14it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:24<00:46, 76.38it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:24<00:46, 76.38it/s, Loss=0.00043, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:24<00:45, 76.39it/s, Loss=0.00043, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:25<00:45, 76.39it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:25<00:45, 76.69it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:25<00:45, 76.69it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:25<00:46, 74.35it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:25<00:46, 74.35it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:25<00:46, 74.90it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:25<00:46, 74.90it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:25<00:46, 75.28it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:25<00:46, 75.28it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:25<00:45, 75.72it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:25<00:45, 75.72it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:25<00:45, 76.01it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:25<00:45, 76.01it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:25<00:45, 76.03it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:26<00:45, 76.03it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:26<00:45, 76.16it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:26<00:45, 76.16it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:26<00:44, 76.27it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:26<00:44, 76.27it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:26<00:44, 76.31it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:26<00:44, 76.31it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:26<00:44, 76.55it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:26<00:44, 76.55it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:26<00:45, 74.20it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:26<00:45, 74.20it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:26<00:45, 74.94it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:26<00:45, 74.94it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:26<00:44, 75.36it/s, Loss=0.00050, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:26<00:44, 75.36it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:26<00:44, 75.41it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:27<00:44, 75.41it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:27<00:44, 75.87it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:27<00:44, 75.87it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:27<00:43, 75.99it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:27<00:43, 75.99it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:27<00:43, 76.38it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:27<00:43, 76.38it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:27<00:43, 76.48it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:27<00:43, 76.48it/s, Loss=0.00043, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:27<00:43, 76.53it/s, Loss=0.00043, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:27<00:43, 76.53it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:27<00:43, 76.58it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:27<00:43, 76.58it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:27<00:44, 74.49it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:28<00:44, 74.49it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:28<00:43, 75.19it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:28<00:43, 75.19it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:28<00:43, 75.79it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:28<00:43, 75.79it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:28<00:42, 76.36it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:28<00:42, 76.36it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:28<00:42, 76.71it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:28<00:42, 76.71it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:28<00:42, 76.80it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:28<00:42, 76.80it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:28<00:42, 76.87it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:28<00:42, 76.87it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:28<00:42, 76.66it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:28<00:42, 76.66it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:28<00:41, 76.58it/s, Loss=0.00046, L1 Loss=0.00008, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:29<00:41, 76.58it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:29<00:41, 76.63it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:29<00:41, 76.63it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:29<00:43, 74.11it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:29<00:43, 74.11it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:29<00:42, 74.88it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:29<00:42, 74.88it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:29<00:42, 75.47it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:29<00:42, 75.47it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:29<00:41, 75.71it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:29<00:41, 75.71it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:29<00:41, 76.04it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:29<00:41, 76.04it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:29<00:41, 76.28it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:29<00:41, 76.28it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:29<00:40, 76.48it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:30<00:40, 76.48it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:30<00:40, 76.30it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:30<00:40, 76.30it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:30<00:40, 76.41it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:30<00:40, 76.41it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:30<00:40, 76.36it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:30<00:40, 76.36it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:30<00:41, 74.08it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:30<00:41, 74.08it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:30<00:41, 74.88it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:30<00:41, 74.88it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:30<00:40, 75.57it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:30<00:40, 75.57it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:30<00:40, 76.01it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:31<00:40, 76.01it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:31<00:39, 76.49it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:31<00:39, 76.49it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:31<00:39, 76.50it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:31<00:39, 76.50it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:31<00:39, 76.62it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:31<00:39, 76.62it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:31<00:39, 76.61it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:31<00:39, 76.61it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:31<00:39, 76.75it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:31<00:39, 76.75it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:31<00:39, 76.74it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:32<00:39, 76.74it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:32<01:13, 40.45it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:32<01:13, 40.45it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:32<01:03, 47.21it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:32<01:03, 47.21it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:32<00:55, 53.40it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:32<00:55, 53.40it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:32<00:50, 58.84it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:32<00:50, 58.84it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:32<00:46, 63.22it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:32<00:46, 63.22it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:32<00:44, 66.67it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:33<00:44, 66.67it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:33<00:42, 69.41it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:33<00:42, 69.41it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:33<00:40, 71.44it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:33<00:40, 71.44it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:33<00:39, 73.09it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:33<00:39, 73.09it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:33<00:39, 74.17it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:33<00:39, 74.17it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:33<00:39, 72.75it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:33<00:39, 72.75it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:33<00:38, 73.92it/s, Loss=0.00037, L1 Loss=0.00006, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:33<00:38, 73.92it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:33<00:38, 74.74it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:33<00:38, 74.74it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:33<00:37, 75.56it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:34<00:37, 75.56it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:34<00:37, 76.11it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:34<00:37, 76.11it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:34<00:37, 76.55it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:34<00:37, 76.55it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:34<00:36, 76.71it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:34<00:36, 76.71it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:34<00:36, 76.72it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:34<00:36, 76.72it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:34<00:36, 76.61it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:34<00:36, 76.61it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:34<00:36, 77.06it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:34<00:36, 77.06it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:34<00:37, 74.16it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:34<00:37, 74.16it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:34<00:37, 74.89it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:35<00:37, 74.89it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:35<00:36, 75.61it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:35<00:36, 75.61it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:35<00:36, 75.99it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:35<00:36, 75.99it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:35<00:36, 76.21it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:35<00:36, 76.21it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:35<00:35, 76.52it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:35<00:35, 76.52it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:35<00:35, 76.93it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:35<00:35, 76.93it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:35<00:35, 77.05it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:35<00:35, 77.05it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:35<00:35, 76.94it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:36<00:35, 76.94it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:36<00:35, 77.04it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:36<00:35, 77.04it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:36<00:36, 74.65it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:36<00:36, 74.65it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:36<00:35, 75.36it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:36<00:35, 75.36it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:36<00:35, 75.80it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:36<00:35, 75.80it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:36<00:35, 75.24it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:36<00:35, 75.24it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:36<00:35, 75.71it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:36<00:35, 75.71it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:36<00:34, 76.22it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:36<00:34, 76.22it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:36<00:34, 76.29it/s, Loss=0.00033, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:37<00:34, 76.29it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:37<00:34, 76.56it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:37<00:34, 76.56it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:37<00:34, 76.51it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:37<00:34, 76.51it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:37<00:33, 76.78it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:37<00:33, 76.78it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:37<00:34, 74.37it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:37<00:34, 74.37it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:37<00:34, 75.23it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:37<00:34, 75.23it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:37<00:33, 75.72it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:37<00:33, 75.72it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:37<00:33, 75.91it/s, Loss=0.00035, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:38<00:33, 75.91it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:38<00:33, 76.19it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:38<00:33, 76.19it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:38<00:33, 76.31it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:38<00:33, 76.31it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:38<00:33, 76.41it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:38<00:33, 76.41it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:38<00:32, 76.56it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:38<00:32, 76.56it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:38<00:32, 76.83it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:38<00:32, 76.83it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:38<00:32, 77.09it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:38<00:32, 77.09it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:38<00:33, 74.79it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:38<00:33, 74.79it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:38<00:32, 75.72it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:39<00:32, 75.72it/s, Loss=0.00030, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:39<00:32, 76.11it/s, Loss=0.00030, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:39<00:32, 76.11it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:39<00:32, 76.57it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:39<00:32, 76.57it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:39<00:31, 76.93it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:39<00:31, 76.93it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:39<00:31, 77.03it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:39<00:31, 77.03it/s, Loss=0.00030, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:39<00:31, 77.18it/s, Loss=0.00030, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:39<00:31, 77.18it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:39<00:31, 77.13it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:39<00:31, 77.13it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:39<00:31, 77.19it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:39<00:31, 77.19it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:39<00:31, 77.10it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:40<00:31, 77.10it/s, Loss=0.00042, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:40<00:32, 74.68it/s, Loss=0.00042, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:40<00:32, 74.68it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:40<00:31, 75.45it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:40<00:31, 75.45it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:40<00:31, 75.73it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:40<00:31, 75.73it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:40<00:30, 76.29it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:40<00:30, 76.29it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:40<00:30, 76.44it/s, Loss=0.00046, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:40<00:30, 76.44it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:40<00:30, 76.61it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:40<00:30, 76.61it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:40<00:30, 76.66it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:41<00:30, 76.66it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:41<00:30, 76.93it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:41<00:30, 76.93it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:41<00:30, 76.95it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:41<00:30, 76.95it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:41<00:29, 77.23it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:41<00:29, 77.23it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:41<00:30, 74.79it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:41<00:30, 74.79it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:41<00:30, 75.47it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:41<00:30, 75.47it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:41<00:29, 76.10it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:41<00:29, 76.10it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:41<00:29, 76.57it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:41<00:29, 76.57it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:41<00:29, 76.84it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:42<00:29, 76.84it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:42<00:29, 76.77it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:42<00:29, 76.77it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:42<00:28, 76.94it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:42<00:28, 76.94it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:42<00:28, 77.19it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:42<00:28, 77.19it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:42<00:28, 77.27it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:42<00:28, 77.27it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:42<00:28, 77.38it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:42<00:28, 77.38it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:42<00:29, 74.87it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:42<00:29, 74.87it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:42<00:28, 75.35it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:42<00:28, 75.35it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:42<00:28, 75.83it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:43<00:28, 75.83it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:43<00:28, 76.35it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:43<00:28, 76.35it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:43<00:28, 76.69it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:43<00:28, 76.69it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:43<00:27, 76.93it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:43<00:27, 76.93it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:43<00:27, 77.10it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:43<00:27, 77.10it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:43<00:27, 77.09it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:43<00:27, 77.09it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:43<00:27, 77.09it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:43<00:27, 77.09it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:43<00:27, 76.96it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:44<00:27, 76.96it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:44<00:28, 74.62it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:44<00:28, 74.62it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:44<00:27, 75.42it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:44<00:27, 75.42it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:44<00:27, 75.91it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:44<00:27, 75.91it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:44<00:26, 76.51it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:44<00:26, 76.51it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:44<00:26, 76.71it/s, Loss=0.00043, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:44<00:26, 76.71it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:44<00:26, 76.84it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:44<00:26, 76.84it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:44<00:26, 76.86it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:44<00:26, 76.86it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:44<00:26, 77.08it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:45<00:26, 77.08it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:45<00:25, 77.33it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:45<00:25, 77.33it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:45<00:25, 77.31it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:45<00:25, 77.31it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:45<00:26, 74.75it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:45<00:26, 74.75it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:45<00:26, 75.73it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:45<00:26, 75.73it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:45<00:25, 76.21it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:45<00:25, 76.21it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:45<00:25, 76.61it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:45<00:25, 76.61it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:45<00:25, 76.28it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:45<00:25, 76.28it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:45<00:25, 76.51it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:46<00:25, 76.51it/s, Loss=0.00039, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:46<00:25, 76.63it/s, Loss=0.00039, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:46<00:25, 76.63it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:46<00:24, 76.86it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:46<00:24, 76.86it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:46<00:24, 77.24it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:46<00:24, 77.24it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:46<00:24, 77.29it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:46<00:24, 77.29it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:46<00:25, 74.93it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:46<00:25, 74.93it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:46<00:24, 75.51it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:46<00:24, 75.51it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:46<00:24, 76.11it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:47<00:24, 76.11it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:47<00:24, 76.36it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:47<00:24, 76.36it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:47<00:24, 76.58it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:47<00:24, 76.58it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:47<00:23, 76.73it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:47<00:23, 76.73it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:47<00:23, 76.91it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:47<00:23, 76.91it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:47<00:23, 77.17it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:47<00:23, 77.17it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:47<00:23, 77.35it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:47<00:23, 77.35it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:47<00:23, 77.25it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:47<00:23, 77.25it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:47<00:23, 74.81it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:48<00:23, 74.81it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:48<00:23, 75.63it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:48<00:23, 75.63it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:48<00:23, 76.21it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:48<00:23, 76.21it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:48<00:22, 76.54it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:48<00:22, 76.54it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:48<00:22, 76.93it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:48<00:22, 76.93it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:48<00:22, 77.02it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:48<00:22, 77.02it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:48<00:22, 77.16it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:48<00:22, 77.16it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:48<00:22, 77.01it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:48<00:22, 77.01it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:48<00:22, 77.06it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:49<00:22, 77.06it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:49<00:22, 77.22it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:49<00:22, 77.22it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:49<00:22, 74.85it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:49<00:22, 74.85it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:49<00:22, 75.55it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:49<00:22, 75.55it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:49<00:21, 76.19it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:49<00:21, 76.19it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:49<00:21, 76.37it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:49<00:21, 76.37it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:49<00:21, 76.67it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:49<00:21, 76.67it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:49<00:21, 77.09it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:50<00:21, 77.09it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:50<00:21, 77.24it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:50<00:21, 77.24it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:50<00:20, 77.38it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:50<00:20, 77.38it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:50<00:20, 77.10it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:50<00:20, 77.10it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:50<00:20, 77.16it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:50<00:20, 77.16it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:50<00:21, 74.78it/s, Loss=0.00042, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:50<00:21, 74.78it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:50<00:20, 75.60it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:50<00:20, 75.60it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:50<00:20, 76.14it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:50<00:20, 76.14it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:50<00:20, 76.69it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:51<00:20, 76.69it/s, Loss=0.00048, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:51<00:20, 76.84it/s, Loss=0.00048, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:51<00:20, 76.84it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:51<00:20, 76.97it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:51<00:20, 76.97it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:51<00:19, 77.25it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:51<00:19, 77.25it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:51<00:19, 77.35it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:51<00:19, 77.35it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:51<00:19, 77.45it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:51<00:19, 77.45it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:51<00:19, 77.46it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:51<00:19, 77.46it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:51<00:19, 74.80it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:51<00:19, 74.80it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:51<00:19, 75.38it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:52<00:19, 75.38it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:52<00:19, 76.05it/s, Loss=0.00045, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:52<00:19, 76.05it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:52<00:19, 76.54it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:52<00:19, 76.54it/s, Loss=0.00044, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:52<00:18, 76.74it/s, Loss=0.00044, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:52<00:18, 76.74it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:52<00:18, 77.04it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:52<00:18, 77.04it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:52<00:18, 76.98it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:52<00:18, 76.98it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:52<00:18, 76.99it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:52<00:18, 76.99it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:52<00:18, 77.06it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:53<00:18, 77.06it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:53<00:18, 77.21it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:53<00:18, 77.21it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:53<00:18, 74.66it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:53<00:18, 74.66it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:53<00:18, 75.54it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:53<00:18, 75.54it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:53<00:17, 76.39it/s, Loss=0.00032, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:53<00:17, 76.39it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:53<00:17, 76.59it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:53<00:17, 76.59it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:53<00:17, 76.86it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:53<00:17, 76.86it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:53<00:17, 77.15it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:53<00:17, 77.15it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:53<00:17, 77.42it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:54<00:17, 77.42it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:54<00:17, 77.60it/s, Loss=0.00040, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:54<00:17, 77.60it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:54<00:16, 77.63it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:54<00:16, 77.63it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:54<00:16, 77.63it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:54<00:16, 77.63it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:54<00:17, 74.68it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:54<00:17, 74.68it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:54<00:17, 74.94it/s, Loss=0.00038, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:54<00:17, 74.94it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:54<00:16, 75.11it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:54<00:16, 75.11it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:54<00:16, 75.84it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:55<00:16, 75.84it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:55<00:16, 76.14it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:55<00:16, 76.14it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:55<00:16, 76.61it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:55<00:16, 76.61it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:55<00:15, 76.99it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:55<00:15, 76.99it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:55<00:15, 77.23it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:55<00:15, 77.23it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:55<00:15, 77.31it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:55<00:15, 77.31it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:55<00:15, 77.06it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:55<00:15, 77.06it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:55<00:16, 74.36it/s, Loss=0.00031, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:55<00:16, 74.36it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:55<00:15, 75.00it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:56<00:15, 75.00it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:56<00:15, 75.70it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:56<00:15, 75.70it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:56<00:15, 76.16it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:56<00:15, 76.16it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:56<00:15, 76.61it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:56<00:15, 76.61it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:56<00:14, 76.63it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:56<00:14, 76.63it/s, Loss=0.00037, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:56<00:14, 76.17it/s, Loss=0.00037, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:56<00:14, 76.17it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:56<00:14, 76.08it/s, Loss=0.00035, L1 Loss=0.00003, Depth Loss=0.00026, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:56<00:14, 76.08it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:56<00:14, 75.80it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:56<00:14, 75.80it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:56<00:14, 76.40it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:57<00:14, 76.40it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:57<00:14, 74.42it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:57<00:14, 74.42it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:57<00:14, 75.27it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:57<00:14, 75.27it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:57<00:14, 75.95it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:57<00:14, 75.95it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:57<00:13, 76.45it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:57<00:13, 76.45it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:57<00:13, 76.46it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:57<00:13, 76.46it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:57<00:13, 76.32it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:57<00:13, 76.32it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:57<00:13, 76.69it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:58<00:13, 76.69it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:58<00:13, 76.88it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:58<00:13, 76.88it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:58<00:13, 77.19it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:58<00:13, 77.19it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:58<00:12, 77.40it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:58<00:12, 77.40it/s, Loss=0.00305, L1 Loss=0.00048, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00197, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:58<00:13, 74.67it/s, Loss=0.00305, L1 Loss=0.00048, Depth Loss=0.00025, Normal Loss=0.00000, Seg Loss=0.00197, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:58<00:13, 74.67it/s, Loss=0.00118, L1 Loss=0.00017, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:58<00:13, 74.30it/s, Loss=0.00118, L1 Loss=0.00017, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:58<00:13, 74.30it/s, Loss=0.00066, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:58<00:13, 74.29it/s, Loss=0.00066, L1 Loss=0.00010, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:58<00:13, 74.29it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:58<00:12, 74.29it/s, Loss=0.00052, L1 Loss=0.00009, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:58<00:12, 74.29it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:58<00:12, 74.19it/s, Loss=0.00039, L1 Loss=0.00006, Depth Loss=0.00036, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:59<00:12, 74.19it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:59<00:12, 74.18it/s, Loss=0.00041, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:59<00:12, 74.18it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:59<00:12, 74.27it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:59<00:12, 74.27it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:59<00:12, 74.56it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:59<00:12, 74.56it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:59<00:12, 74.84it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:59<00:12, 74.84it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:59<00:12, 74.65it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:59<00:12, 74.65it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:59<00:12, 72.48it/s, Loss=0.00047, L1 Loss=0.00007, Depth Loss=0.00037, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:59<00:12, 72.48it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:59<00:11, 73.49it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [02:00<00:11, 73.49it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [02:00<00:11, 74.04it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [02:00<00:11, 74.04it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [02:00<00:11, 74.33it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [02:00<00:11, 74.33it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [02:00<00:11, 74.52it/s, Loss=0.00044, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [02:00<00:11, 74.52it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [02:00<00:11, 74.64it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [02:00<00:11, 74.64it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [02:00<00:11, 74.71it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [02:00<00:11, 74.71it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [02:00<00:10, 74.89it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00031, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [02:00<00:10, 74.89it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [02:00<00:10, 74.79it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [02:00<00:10, 74.79it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [02:00<00:10, 74.95it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [02:01<00:10, 74.95it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [02:01<00:10, 72.75it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [02:01<00:10, 72.75it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [02:01<00:10, 73.30it/s, Loss=0.00038, L1 Loss=0.00006, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [02:01<00:10, 73.30it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [02:01<00:10, 73.89it/s, Loss=0.00046, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [02:01<00:10, 73.89it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [02:01<00:10, 74.29it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [02:01<00:10, 74.29it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [02:01<00:10, 74.46it/s, Loss=0.00048, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [02:01<00:10, 74.46it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [02:01<00:09, 74.76it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [02:01<00:09, 74.76it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [02:01<00:09, 75.09it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [02:02<00:09, 75.09it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [02:02<00:09, 75.14it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [02:02<00:09, 75.14it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [02:02<00:09, 75.37it/s, Loss=0.00041, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [02:02<00:09, 75.37it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [02:02<00:09, 75.37it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [02:02<00:09, 75.37it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [02:02<00:09, 73.04it/s, Loss=0.00032, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [02:02<00:09, 73.04it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [02:02<00:09, 73.72it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [02:02<00:09, 73.72it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [02:02<00:09, 74.12it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [02:02<00:09, 74.12it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [02:02<00:08, 74.38it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [02:02<00:08, 74.38it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [02:02<00:08, 74.47it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00030, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [02:03<00:08, 74.47it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [02:03<00:08, 74.98it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [02:03<00:08, 74.98it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [02:03<00:08, 74.97it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [02:03<00:08, 74.97it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [02:03<00:08, 75.01it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [02:03<00:08, 75.01it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [02:03<00:08, 75.07it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [02:03<00:08, 75.07it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [02:03<00:07, 75.37it/s, Loss=0.00041, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [02:03<00:07, 75.37it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [02:03<00:08, 72.98it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [02:03<00:08, 72.98it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [02:03<00:07, 73.70it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [02:04<00:07, 73.70it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [02:04<00:07, 74.29it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [02:04<00:07, 74.29it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [02:04<00:07, 74.68it/s, Loss=0.00036, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [02:04<00:07, 74.68it/s, Loss=0.00044, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [02:04<00:07, 74.97it/s, Loss=0.00044, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [02:04<00:07, 74.97it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [02:04<00:07, 75.03it/s, Loss=0.00037, L1 Loss=0.00005, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [02:04<00:07, 75.03it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [02:04<00:07, 75.01it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [02:04<00:07, 75.01it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [02:04<00:06, 75.33it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [02:04<00:06, 75.33it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [02:04<00:06, 75.40it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [02:04<00:06, 75.40it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [02:04<00:06, 75.56it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [02:05<00:06, 75.56it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [02:05<00:06, 73.28it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [02:05<00:06, 73.28it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [02:05<00:06, 73.83it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [02:05<00:06, 73.83it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [02:05<00:06, 74.35it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [02:05<00:06, 74.35it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [02:05<00:06, 74.94it/s, Loss=0.00034, L1 Loss=0.00005, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [02:05<00:06, 74.94it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [02:05<00:05, 75.07it/s, Loss=0.00033, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [02:05<00:05, 75.07it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [02:05<00:05, 75.20it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [02:05<00:05, 75.20it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [02:05<00:05, 75.14it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [02:06<00:05, 75.14it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [02:06<00:05, 75.44it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [02:06<00:05, 75.44it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [02:06<00:05, 75.39it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [02:06<00:05, 75.39it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [02:06<00:05, 75.40it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [02:06<00:05, 75.40it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [02:06<00:05, 72.99it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [02:06<00:05, 72.99it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [02:06<00:05, 73.71it/s, Loss=0.00040, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [02:06<00:05, 73.71it/s, Loss=0.00030, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [02:06<00:04, 74.12it/s, Loss=0.00030, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [02:06<00:04, 74.12it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [02:06<00:04, 74.53it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00035, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [02:07<00:04, 74.53it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [02:07<00:04, 74.73it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [02:07<00:04, 74.73it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [02:07<00:04, 74.90it/s, Loss=0.00035, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [02:07<00:04, 74.90it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [02:07<00:04, 75.27it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [02:07<00:04, 75.27it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [02:07<00:04, 75.36it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [02:07<00:04, 75.36it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [02:07<00:04, 75.39it/s, Loss=0.00044, L1 Loss=0.00006, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [02:07<00:04, 75.39it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [02:07<00:03, 75.30it/s, Loss=0.00045, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [02:07<00:03, 75.30it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [02:07<00:03, 73.07it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [02:07<00:03, 73.07it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [02:07<00:03, 73.85it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [02:08<00:03, 73.85it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [02:08<00:03, 74.39it/s, Loss=0.00033, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [02:08<00:03, 74.39it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [02:08<00:03, 74.77it/s, Loss=0.00032, L1 Loss=0.00003, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [02:08<00:03, 74.77it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [02:08<00:03, 74.95it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [02:08<00:03, 74.95it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [02:08<00:03, 75.16it/s, Loss=0.00038, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [02:08<00:03, 75.16it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [02:08<00:03, 75.05it/s, Loss=0.00038, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [02:08<00:03, 75.05it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [02:08<00:02, 75.21it/s, Loss=0.00034, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [02:08<00:02, 75.21it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [02:08<00:02, 75.39it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [02:09<00:02, 75.39it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [02:09<00:02, 75.54it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [02:09<00:02, 75.54it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [02:09<00:02, 73.31it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [02:09<00:02, 73.31it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [02:09<00:02, 74.00it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [02:09<00:02, 74.00it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [02:09<00:02, 74.55it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [02:09<00:02, 74.55it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [02:09<00:02, 75.01it/s, Loss=0.00039, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [02:09<00:02, 75.01it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [02:09<00:02, 74.97it/s, Loss=0.00034, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [02:09<00:02, 74.97it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [02:09<00:01, 75.08it/s, Loss=0.00039, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [02:09<00:01, 75.08it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [02:09<00:01, 75.11it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [02:10<00:01, 75.11it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [02:10<00:01, 75.32it/s, Loss=0.00040, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [02:10<00:01, 75.32it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [02:10<00:01, 75.51it/s, Loss=0.00031, L1 Loss=0.00003, Depth Loss=0.00027, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [02:10<00:01, 75.51it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [02:10<00:01, 75.63it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00029, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [02:10<00:01, 75.63it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [02:10<00:01, 73.32it/s, Loss=0.00035, L1 Loss=0.00004, Depth Loss=0.00028, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [02:10<00:01, 73.32it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [02:10<00:01, 74.31it/s, Loss=0.00043, L1 Loss=0.00007, Depth Loss=0.00034, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [02:10<00:01, 74.31it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [02:10<00:00, 74.68it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [02:10<00:00, 74.68it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:10<00:00, 75.05it/s, Loss=0.00037, L1 Loss=0.00004, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:11<00:00, 75.05it/s, Loss=0.00030, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:11<00:00, 75.15it/s, Loss=0.00030, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:11<00:00, 75.15it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:11<00:00, 75.41it/s, Loss=0.00036, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:11<00:00, 75.41it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:11<00:00, 75.61it/s, Loss=0.00047, L1 Loss=0.00006, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:11<00:00, 75.61it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:11<00:00, 75.94it/s, Loss=0.00045, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:11<00:00, 75.94it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:11<00:00, 75.88it/s, Loss=0.00049, L1 Loss=0.00007, Depth Loss=0.00032, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:11<00:00, 75.88it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:11<00:00, 75.89it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:11<00:00, 75.94it/s, Loss=0.00044, L1 Loss=0.00007, Depth Loss=0.00033, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
-
-[ITER 7000] Saving Gaussians [28/10 19:38:51]
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-[ITER 10000] Saving Gaussians [28/10 19:39:31]
-
-Training complete. [28/10 19:39:32]
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233350_440979/points3D.ply b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233350_440979/points3D.ply
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/model/cfg_args b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/model/cfg_args
deleted file mode 100644
index 82c8ca696616646cb5bf5244e2d2380f887cbe5a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/model/cfg_args
+++ /dev/null
@@ -1 +0,0 @@
-Namespace(sh_degree=3, source_path='/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/input_case/session_20260921_233350_440979', model_path='/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model', images='images', depths='', resolution=1, white_background=False, train_test_exp=False, data_device='cuda', gs_init_opt='hybrid', pts_per_triangles=30, use_high_res=False, use_masks=True, isotropic=True, disable_sh=False, eval=False)
\ No newline at end of file
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/model/events.out.tfevents.1793230638.labcomputer.1430151.0 b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/model/events.out.tfevents.1793230638.labcomputer.1430151.0
deleted file mode 100644
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deleted file mode 100644
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diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/agent_findings.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/agent_findings.json
deleted file mode 100644
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+++ /dev/null
@@ -1,438 +0,0 @@
-{
-  "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-  "case_id": "233350",
-  "reviewed_at_utc": "2026-10-28T23:41:27.238257+00:00",
-  "scope": {
-    "goal": "Review this new static appearance trained from the owner-accepted stronger-reprojection prior",
-    "done_when": "Three completed stages, one saved-output checker, 13 actual inspected images and linked numerical/visual findings",
-    "non_goals": [
-      "No science launch or product alteration",
-      "No global/owner record changes",
-      "No mechanical or dynamic validation"
-    ],
-    "validation": "12 saved view NPZs, three PLYs, three 10000-step histories, populations/opacity counts, exact accepted prior, all packet links"
-  },
-  "status": "ready_for_owner_static_appearance_review",
-  "owner_acceptance": "pending for this new run",
-  "accepted_prior_identity_matches": true,
-  "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-  "appearance_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1",
-  "numerical_evidence": {
-    "job": {
-      "case_id": "233350",
-      "session_id": "session_20260921_233350_440979",
-      "case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730",
-      "reference_prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1",
-      "prep": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2",
-      "prior": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-      "owner_prior_record": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/owner_prior_acceptance_c6a_v1.json",
-      "approval": {
-        "owner_text": "the stronger reprojection priors look good, please proceed with those.",
-        "recorded_utc": "2026-10-28T23:14:46.631676+00:00",
-        "selected_candidate": "stronger_reprojection",
-        "sessions": [
-          "233248",
-          "232950",
-          "233045",
-          "233144",
-          "233350"
-        ],
-        "control_count": 18,
-        "curvature_weight": 5e-09,
-        "reprojection_weight": 8.0,
-        "scope": "Accept these five reviewed priors and continue the existing mechanical-input and static-appearance preparation workflow. Trained appearance acceptance remains separate. No physical fitting.",
-        "disclosed_limitations": "Image/depth tradeoff, soft-length excess, nominal-table offsets, hidden geometry and existing later tracking/depth limitations remain recorded.",
-        "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_chain_stronger_reprojection_v2",
-        "prior_manifest_sha256": "8205a9d675b72e61c4d63d5866d045d7ab325326b245ebef127c552db859bb59",
-        "mesh_sha256": "82315b9e177ecd6500d61f6e2d985b9b5529c402e86c68fce6c54f0128efae97",
-        "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/prior_review_chain_stronger_reprojection_v2/PRIOR_REVIEW_c6a_v1.md",
-        "comparison_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/c6a_20261027/chain_weight_comparison_20261028/COMPARISON.md",
-        "supersedes": "Earlier chain revocation for this newly selected artifact only; historical decisions and outputs remain preserved."
-      },
-      "appearance_stage_names": [
-        "appearance_check_v1",
-        "appearance_train_v1",
-        "appearance_review_v1"
-      ],
-      "mechanical_stage_names": [
-        "mech_v2",
-        "mech_v3",
-        "mech_center_v3",
-        "mech_supervision",
-        "mech_center_supervision"
-      ]
-    },
-    "stage_results": {
-      "appearance_check_v1": {
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-      "appearance_review_v1": {
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-      "source_script": "third_party/phystwin_original/gs_train.py",
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-        "-m",
-        "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_233350_440979/window_anchor0359-0730/accepted_input_preparation_c6a_v1/stronger_reprojection_preparation_v2/appearance_train_v1/model",
-        "--iterations",
-        "10000",
-        "--lambda_depth",
-        "0.001",
-        "--lambda_normal",
-        "0.0",
-        "--lambda_anisotropic",
-        "0.0",
-        "--lambda_seg",
-        "1.0",
-        "--use_masks",
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-        "hybrid",
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-      "owner_text": "the stronger reprojection priors look good, please proceed with those.",
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-      "supersedes": "Earlier chain revocation for this newly selected artifact only; historical decisions and outputs remain preserved."
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-        "novel_frames": 200
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-    "panels_to_inspect": [
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-      "iteration_10000/view_1_sheet.png",
-      "iteration_10000/view_2_sheet.png",
-      "iteration_10000/view_3_sheet.png",
-      "loss_curves.png",
-      "novel_frames/frame_000.jpg",
-      "novel_frames/frame_025.jpg",
-      "novel_frames/frame_050.jpg",
-      "novel_frames/frame_075.jpg",
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-      "novel_frames/frame_125.jpg",
-      "novel_frames/frame_150.jpg",
-      "novel_frames/frame_175.jpg"
-    ],
-    "owner_appearance_acceptance": "pending; historical appearance decisions do not accept this run"
-  },
-  "visual_evidence": {
-    "case_id": "233350",
-    "inspected_images": [
-      "iteration_10000/view_0_sheet.png",
-      "iteration_10000/view_1_sheet.png",
-      "iteration_10000/view_2_sheet.png",
-      "iteration_10000/view_3_sheet.png",
-      "loss_curves.png",
-      "novel_frames/frame_000.jpg",
-      "novel_frames/frame_025.jpg",
-      "novel_frames/frame_050.jpg",
-      "novel_frames/frame_075.jpg",
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-      "novel_frames/frame_125.jpg",
-      "novel_frames/frame_150.jpg",
-      "novel_frames/frame_175.jpg"
-    ],
-    "view_findings": {
-      "12540311": "Exposed corners and link texture align with the broad rectangular loop. Both hand-hidden intervals are open in the render; the foreground left endpoint has a broad dark diffuse patch with speckles below it.",
-      "12933256": "The visible upper and lower arc segments retain link texture. The forearm-hidden right arc is thick, mottled and fringed; both grasp intervals remain visibly open, with small diffuse protrusions near the endpoints.",
-      "17736741": "The two exposed arcs follow the observation and retain rounded corners. Large top and lower-left hand gaps remain; the lower-left endpoint has a dark diffuse lobe and scattered fringe.",
-      "23007103": "The broad diamond-like projected contour aligns on exposed segments. Both grasp sites remain open, and the right hidden interval has thick dark filling and local protrusions around the gap."
-    },
-    "orbit": "All eight sampled orbit frames retain the broad rectangular arrangement of two open arcs without frame clipping or gross global collapse. Gaps at both hand-hidden intervals are conspicuous across the sampled angles. A thickened diffuse section and fringe remain near one grasp. The trained appearance does not preserve the closed-loop coverage of the geometric prior.",
-    "loss": "The plotted L1 and total losses decline, with sharp transients near iterations 3000, 6000 and 9000. The late total loss oscillates within a settled band; no sustained late divergence is visible.",
-    "temporal_and_hand_context": "The retained reference review represents both hands with 30 measured controls (18 hand_A and 12 hand_B), selected after the inclusive initial 4 cm gate. It records zero camera 12933256 object support at native-relative frames 139\u2013192 and 293\u2013325, and zero hand_A support at 152\u2013187 and 302\u2013321. Its 83 nonfinite coverage entries remain unfilled; paired native-minus-WAFT p95 reaches +274.4 mm at frame 296 on common support, including hands. Camera 23007103 falls to 218 admitted object points at frame 322. Later derived samples contain partial arcs and isolated points. The reference review sampled 16 times per video. This static appearance does not clear those later observations for physical fitting or establish hidden shape or table contact.",
-    "sampling_scope": "All 13 images were actually inspected individually: four final sheets, one loss plot and eight of 200 saved orbit frames."
-  },
-  "training_recipe": {
-    "iterations": 10000,
-    "optimizer_updates": 9999,
-    "held_out": false,
-    "reference_opacity_export": "strict >0.1"
-  },
-  "preserved_reference_limitations": [
-    "Camera 12933256 has zero admitted object support at native-relative frames 139\u2013192 and 293\u2013325 inclusive. Hand_A support is zero at 152\u2013187 and 302\u2013321. The foreground hand/forearm visibly obscures the object and the other hand in these intervals; rejected/hidden predictions remain visible in the diagnostic overlays.",
-    "Camera 12933256 object mask-bin coverage is nonfinite for 83 frames: 140\u2013191 and 294\u2013324 inclusive. No coverage or observation values were imputed.",
-    "Camera 12933256 paired native-minus-WAFT p95 reaches +274.4 mm at native-relative 296. Values exceed +100 mm at 144\u2013146, 190\u2013191, 294\u2013296 and 325. These are common-support depth comparisons, including hands, rather than ground-truth accuracy measurements.",
-    "The other three cameras retain some admitted object points throughout, but support is partial along visible arcs and around the grasps, especially late. Camera 23007103 falls to 218 admitted object points at native-relative 322, and its visible-point p10 certainty reaches 0.6195.",
-    "The derived sampled sequence retains the broad shearing motion and both hand groups, while showing partial or split arcs. Isolated object points appear at derived samples 24 and 248; sample 297 has a distinctly detached point below the main cloud in XZ/YZ. These later observations are not cleared for physical fitting by this initial-prior review."
-  ],
-  "physical_fitting_authorized": false,
-  "scientific_outputs_modified": false,
-  "source_or_global_or_owner_records_modified": false
-}
diff --git a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json b/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json
deleted file mode 100644
index b2e03f251973ce879995b4416a85f5ead681fb60..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_233350_440979/preprocessing/chain-stronger-reprojection-v2/native/stronger_reprojection_preparation_v2/appearance_train_v1/review/curves.json
+++ /dev/null
@@ -1,120008 +0,0 @@
-{
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