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deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "status": "trained and agent-reviewed; owner appearance acceptance pending",
-  "training_iterations": 10000,
-  "gaussian_optimizer_update_calls": 9999,
-  "initial_gaussians": 67984,
-  "saved_gaussians": 73252,
-  "export_gaussians_strict_opacity_gt_0_1": 64142,
-  "finite_saved_view_arrays": [
-    "iteration_0/view_0.npz",
-    "iteration_0/view_1.npz",
-    "iteration_0/view_2.npz",
-    "iteration_0/view_3.npz",
-    "iteration_10000/view_0.npz",
-    "iteration_10000/view_1.npz",
-    "iteration_10000/view_2.npz",
-    "iteration_10000/view_3.npz",
-    "iteration_7000/view_0.npz",
-    "iteration_7000/view_1.npz",
-    "iteration_7000/view_2.npz",
-    "iteration_7000/view_3.npz"
-  ],
-  "scalar_steps_verified": [
-    1,
-    10000
-  ],
-  "mean_training_view_source_total_initial": 0.005388009327240842,
-  "mean_training_view_source_total_final": 0.00019746291483542267,
-  "source_metric_scope": "same four t0 training views, existing source full-image averaging; not held-out evidence",
-  "visually_inspected": [
-    "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",
-    "inspected_orbit_samples.png"
-  ],
-  "orbit_frames_inspected": [
-    0,
-    25,
-    50,
-    75,
-    100,
-    125,
-    150,
-    175
-  ],
-  "observations": [
-    "Visible orange ring and purple tape align with the observations across all four views.",
-    "The grasp region retains a gap and diffuse fringe under/near the occluding hand; this also appears in the sampled novel views.",
-    "No overall collapse or broad floating cloud was observed in the sampled views.",
-    "Loss curves settle after repeated sharp transients near steps3000/6000/9000, consistent with the unchanged source opacity-reset schedule."
-  ],
-  "limitations": [
-    "Only the initial frame is trained; four-camera fit quality does not establish dynamic or held-out rendering quality.",
-    "The hidden grasp region is weakly constrained; lower loss does not certify complete occluded geometry.",
-    "Black backgrounds are object-only diagnostic renders; images are not scene-composite validation."
-  ]
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
deleted file mode 100644
index 87a9c42e4efc23fc1d185cd9d5e22a78fe266624..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
+++ /dev/null
@@ -1,120008 +0,0 @@
-{
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-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/run_record.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/run_record.json
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+++ /dev/null
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-{
-  "kind": "rp3_static_appearance_v1",
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json
deleted file mode 100644
index 99d11278452c6a8de02a04d9e41099367a8ac3f3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json
+++ /dev/null
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-{
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-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--accepted-prior-manifest-sha256",
-    "03150af1696414ab83bc4544d13ccb51b42e42327e55a3d16a17d97bf91b483b",
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json
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--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json
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-{
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-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/frames_waft.npz b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/frames_waft.npz
deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/frames_waft.npz
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-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_argv.json
deleted file mode 100644
index 1516d66d05ff32b04b3d21324f74a34c3c7cbf98..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/prepare_rt3_lifting.py",
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-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560",
-  "--selected-session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-  "--selected-frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-  "--tap-tracks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-  "--cotracker-tracks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/query_tracks",
-  "--support-rule",
-  "rt_d7_depth_consistency_v1",
-  "--participating-hand",
-  "hand_A",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/rt3_lifts"
-]
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_result.json
deleted file mode 100644
index 5aa0c5334500a17597cfc939990bcd0423e5c29e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/lift_depth_consistency_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log
deleted file mode 100644
index 1e6b8eb8fae2576d65b0262e73a01411ee83643d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log
+++ /dev/null
@@ -1,44 +0,0 @@
-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json
deleted file mode 100644
index 8d097f75a80ee3f79debccf5846ff0e7a7a8ee20..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/supervision"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
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-  "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_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json
deleted file mode 100644
index 4a5f466dc651c098f6881c1631a621dca915f62f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log
deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log
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-{
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-  "S": 908,
-  "A": 908,
-  "added_surface": 114,
-  "interior": 0,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 30
-  }
- },
- "denominators": {
-  "D_V": 738,
-  "D_M": 732
- },
- "graph": {
-  "object_springs": 14283,
-  "controller_springs": 818,
-  "object_rest_min_max_m": [
-   0.0001658037945162505,
-   0.019900908693671227
-  ],
-  "controller_rest_min_max_m": [
-   0.010631152428686619,
-   0.039996400475502014
-  ],
-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 81,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 818
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json
deleted file mode 100644
index 649c3c560cdbf9bce506dc93e70893171f2c1ece..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json
deleted file mode 100644
index d7b9d452f5934efb96f1f30f782e2790789dfbc8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.307360016005987
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_static_review.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_static_review.log
deleted file mode 100644
index ebdb646448a8c88b57b88b60fa6b9f30603ab4c3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_static_review.log
+++ /dev/null
@@ -1,174 +0,0 @@
-{
-  "scope": "Static input and geometry review only; no dynamics, optimization, fit or altered selection",
-  "root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/supervision",
-  "populations": {
-    "P_chamfer_targets": 3124,
-    "genuine_t_pairs": 794,
-    "N": 794,
-    "S": 908,
-    "A": 908,
-    "added_surface": 114,
-    "interior": 0,
-    "controls": 30,
-    "controls_by_hand": {
-      "hand_A": 30
-    }
-  },
-  "total_source_mass_units": 908.0,
-  "mass_values": [
-    1.0
-  ],
-  "raw_bank": {
-    "surface": 1024,
-    "core": 128,
-    "core_winner_categories": {
-      "original": 83,
-      "surface": 45
-    }
-  },
-  "controllers": {
-    "survivors": 7198,
-    "eligible": 443,
-    "selected": 30,
-    "initial_distance_min_median_max_m": [
-      0.010631148837828258,
-      0.03143188814532929,
-      0.03994480021577554
-    ]
-  },
-  "denominators": {
-    "D_C": 2952,
-    "D_T": 732,
-    "rule": "RT-S2, fixed for the whole run; C/T weights unchanged"
-  },
-  "initialization_groups": {
-    "initialized_original": 794,
-    "in_band_not_initialized": 2319,
-    "outside_initial_band": 11
-  },
-  "graph": {
-    "nodes": 908,
-    "object_springs": 14283,
-    "object_rest_min_median_max_m": [
-      0.0001658037945162505,
-      0.009543917141854763,
-      0.019900908693671227
-    ],
-    "degree_min_median_max": [
-      25,
-      31.0,
-      40
-    ],
-    "degree_by_category_min_median_max": {
-      "original": [
-        25,
-        31.0,
-        40
-      ],
-      "surface": [
-        25,
-        31.0,
-        39
-      ]
-    },
-    "isolated_nodes": 0,
-    "components": 1,
-    "component_sizes_desc": [
-      908
-    ],
-    "near_arc_shortcuts": {
-      "definition": "object spring whose endpoints' prior-centerline arc separation exceeds 0.04 m",
-      "count": 0,
-      "fraction": 0.0,
-      "count_with_unambiguous_endpoints": 0,
-      "nodes_touching_shortcuts": 0,
-      "gap_p50_p90_max_m": [
-        0.0058259216303983286,
-        0.011320513892101466,
-        0.01994555120842767
-      ]
-    },
-    "ambiguous_centerline_nodes": 0,
-    "node_distance_to_centerline_p50_p90_max_m": [
-      0.005288076917686495,
-      0.009322027118547961,
-      0.012873539856871915
-    ],
-    "attachments": {
-      "count": 818,
-      "rest_min_median_max_m": [
-        0.010631152428686619,
-        0.03149959444999695,
-        0.039996400475502014
-      ],
-      "per_control_min_median_max": [
-        1,
-        30.5,
-        50
-      ],
-      "controls_without_attachment": 0,
-      "by_hand": {
-        "hand_A": 818,
-        "hand_B": 0
-      },
-      "attached_nodes": 81,
-      "attached_nodes_by_category": {
-        "original": 58,
-        "surface": 23,
-        "interior": 0
-      },
-      "attached_arc_bins_by_hand": {
-        "hand_A": {
-          "bins": [
-            41,
-            42,
-            43,
-            44,
-            45,
-            46,
-            47,
-            48,
-            49,
-            50,
-            51
-          ],
-          "count": 11,
-          "of": 64
-        },
-        "hand_B": {
-          "bins": [],
-          "count": 0,
-          "of": 64
-        }
-      }
-    }
-  },
-  "checks": {
-    "native_model_reload_checks": true,
-    "supervision_reuse_checks": true,
-    "all_twenty_mechanical_arrays_reused_bitwise": true,
-    "v2_to_v3_raw_bank_retained_exactly": true,
-    "recomputed_shared_voxels_equal_saved": true,
-    "masses_are_one_per_actual_object_particle": true,
-    "velocity_zero_all_object_particles": true,
-    "gate_references_are_all_initialized_particles": true,
-    "gate_reference_categories_match_actual_particles": true,
-    "eligible_pool_is_survivors_with_inclusive_4cm_gate": true,
-    "selected_ids_match_gate": true,
-    "selected_controllers_all_eligible": true,
-    "selected_controllers_within_4cm_initially": true,
-    "selected_distances_recompute_exactly": true,
-    "thirty_hand_A_controllers": true,
-    "controller_trajectories_valid_every_sample": true,
-    "native_controls_equal_measured_float32_trajectories": true,
-    "genuine_pairs_name_original_own_tracks": true,
-    "genuine_pairs_cover_only_all_originals": true,
-    "original_q0_equals_own_measured_initial_targets": true,
-    "all_chamfer_targets_initially_valid": true,
-    "fixed_denominators_match_saved": true,
-    "connected_object_graph": true,
-    "no_isolated_object_nodes": true,
-    "all_controllers_attached": true
-  },
-  "passed": true
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json
deleted file mode 100644
index 749eee338229b406b7fcf8ffb23fb08a7ebba5c8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_225908_522335/window_anchor0328-0560",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd",
-    "--accepted-prior-manifest-sha256",
-    "03150af1696414ab83bc4544d13ccb51b42e42327e55a3d16a17d97bf91b483b",
-    "--participating-hand",
-    "hand_A",
-    "--supervision-policy",
-    "initialization_only_mesh_gate_v1",
-    "--mechanical-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/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_225908_522335/window_anchor0328-0560/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/supervision"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json
deleted file mode 100644
index 8f616b1395b96a26319fb3ea95d223eed6660eef..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 18.050638500004425
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json
deleted file mode 100644
index 1859568feb176b35a8b77c743799f2ad10b83f89..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_225908_522335/window_anchor0328-0560",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd",
-    "--accepted-prior-manifest-sha256",
-    "03150af1696414ab83bc4544d13ccb51b42e42327e55a3d16a17d97bf91b483b",
-    "--participating-hand",
-    "hand_A",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--mesh-rules",
-    "m2_10mm_centerline_core_v2",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/mechanics_v2"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json
deleted file mode 100644
index b61c669be9f13420a49143ac26e2c6eeba58e9b1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 255.86685495100392
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json
deleted file mode 100644
index 4cfa376b3450f4143e4c110c9e3ca6ca813b1d56..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json
+++ /dev/null
@@ -1,34 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_225908_522335/window_anchor0328-0560",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--tap-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd",
-    "--accepted-prior-manifest-sha256",
-    "03150af1696414ab83bc4544d13ccb51b42e42327e55a3d16a17d97bf91b483b",
-    "--participating-hand",
-    "hand_A",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--retained-samples-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/mechanics_v2/mesh/binding.json",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_result.json
deleted file mode 100644
index ba8f8f7d2b76a8f9fd6b58d44304d7039da89d80..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/mech_v3_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 60.410428383002
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1.log
deleted file mode 100644
index ff0426cb991972e711f5c541cc2841e47e2a7f6c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1.log
+++ /dev/null
@@ -1 +0,0 @@
-colors: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/colors.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_argv.json
deleted file mode 100644
index 4750e4545c5cf0d38b57cdac8f2e41ebfa4c8bdc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_result.json
deleted file mode 100644
index f2c249f62f0f1983018a6e3c42f7d1ef63b4c9b9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_colors_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.6468838319997303
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth.log
deleted file mode 100644
index 7a52547082f3380a37fb163111c985208eebd028..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/diagnose-depth.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth_argv.json
deleted file mode 100644
index c9532cbb2bb7024cd0cedb6e891c279a1e39d689..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth_result.json
deleted file mode 100644
index 5d1daa687426eaac226aa6072d2e89e0071e29d6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_diagnose_depth_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 1.525221023000995
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit.log
deleted file mode 100644
index 4c8bced48a5991fce86b6ad67cce5c0b417e0257..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit.log
+++ /dev/null
@@ -1,29 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py", line 240, in <module>
-    sys.exit(main())
-             ^^^^^^
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py", line 216, in main
-    record = cmd_fit(run, args)
-             ^^^^^^^^^^^^^^^^^^
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/scripts/real_rgbd_appearance_spline_prior.py", line 152, in cmd_fit
-    return sp.save_fit(run, cloud, max_rounds=args.max_rounds,
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/real_rgbd/appearance_spline_prior.py", line 796, in save_fit
-    fitter, initial, rounds, residual, reason = fit_rounds(
-                                                ^^^^^^^^^^^
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/real_rgbd/appearance_spline_prior.py", line 653, in fit_rounds
-    fitter = build_fitter(object_name)
-             ^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/real_rgbd/appearance_spline_prior.py", line 209, in build_fitter
-    from belt_perception.spline_estimation.round_belt_backend import RoundBeltBackend
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/spline_estimation/__init__.py", line 3, in <module>
-    from belt_perception.spline_estimation.live_runner import run_spline_live_state_estimation
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/spline_estimation/live_runner.py", line 26, in <module>
-    from belt_perception.cameras.round_belt_depth_validation import (
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/cameras/round_belt_depth_validation.py", line 7, in <module>
-    from belt_perception.foundation_stereo_wrapper.round_belt_depth_defaults import (
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/foundation_stereo_wrapper/round_belt_depth_defaults.py", line 8, in <module>
-    from belt_perception.foundation_stereo_wrapper.foundation_stereo_wrapper import (
-  File "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/belt_perception/foundation_stereo_wrapper/foundation_stereo_wrapper.py", line 42, in <module>
-    from FoundationStereo.core.utils.utils import InputPadder
-ModuleNotFoundError: No module named 'FoundationStereo.core'
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_argv.json
deleted file mode 100644
index 6cfdda8f2eeb8c6f6fe70d01e882b1c58efaf643..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_result.json
deleted file mode 100644
index 1c8466863023cb53f6e45f2dd7785e7ca8a48e7e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 1,
-  "elapsed_s": 3.2659666079998715
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1.log
deleted file mode 100644
index 61f7b18e3acb0a041b73afbc8d3328aa2e57b789..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1.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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/fit.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1_result.json
deleted file mode 100644
index 9657810abd577f9abe09339406d4c476a484e343..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_fit_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 64.77503325499856
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1.log
deleted file mode 100644
index 04c97815fec23cd6491282eb21eab2aa3fe6ac5a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1.log
+++ /dev/null
@@ -1 +0,0 @@
-hybrid: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/hybrid.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_argv.json
deleted file mode 100644
index 60540479dedf1e5461dd7cad4f17b242779f5b5b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_result.json
deleted file mode 100644
index d65fa5edf935c8b91de16bc1f01c22369a4737d4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_hybrid_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.2445749519993115
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs.log
deleted file mode 100644
index 300f48b5fe5698c586910e0eb4d541abbd15f872..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs.log
+++ /dev/null
@@ -1 +0,0 @@
-inputs: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/inputs.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs_argv.json
deleted file mode 100644
index 398165ee34c5bc50edc71e2fc3795d7595430423..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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_225908_522335/window_anchor0328-0560",
-    "--object",
-    "orange_round_belt",
-    "--unfitted-inputs",
-    "--fitting-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-    "--occluder-signoff",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs_interruption.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs_interruption.json
deleted file mode 100644
index 3e98de8faff3f3321b1578d0068a57cdd145d663..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_inputs_interruption.json
+++ /dev/null
@@ -1,7 +0,0 @@
-{
-  "launcher_exit_code": 143,
-  "inputs_step_status": "ok",
-  "verified_saved_files": 24,
-  "inputs_process_returncode": null,
-  "note": "Launcher received SIGTERM after the inputs step and its scientific files were saved; no subprocess exit record was written. Continue from verified saved inputs, preserving the original files and log."
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1.log
deleted file mode 100644
index 254e14b39024dd45e00d9306740406beaf10f115..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/manifest.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_argv.json
deleted file mode 100644
index 2f326b02a758dbeb9d6878d3989a4e7959099c7f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_result.json
deleted file mode 100644
index 2432d8f93c3c97284bb4a9499cd7d2db0e004c8b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_manifest_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 1.3003010819993506
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1.log
deleted file mode 100644
index 52fd4f6221273831735a2cc07288a11ebbf537fa..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1.log
+++ /dev/null
@@ -1 +0,0 @@
-review: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/review.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_argv.json
deleted file mode 100644
index c3104eccc2f5dcaef3fd5f7516e8696f41148cf0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_result.json
deleted file mode 100644
index be78f18ae8aa482e4260f675232f9b7f6226c814..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 15.98112691300048
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json
deleted file mode 100644
index 3112e970074066ba3c19df2c0a8dd109de7e502a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json
+++ /dev/null
@@ -1,110 +0,0 @@
-{
-  "reviewer": "C6a agent",
-  "owner_acceptance": false,
-  "manifest_sha256": "03150af1696414ab83bc4544d13ccb51b42e42327e55a3d16a17d97bf91b483b",
-  "mesh_sha256": "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd",
-  "manifest_verification_differences": [],
-  "inspected_prior_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/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/spline/fit_3d.png",
-    "review/tube/tube_scale_views.png",
-    "review/spline/round_curves.png",
-    "review/spline/residual_histograms.png",
-    "review/colors/visibility_and_fill.png",
-    "review/hybrid/combined.png",
-    "review/rerun/headless_contact_sheet.png"
-  ],
-  "inspected_orbit_frames": [
-    0,
-    5,
-    10,
-    15,
-    20,
-    25,
-    30,
-    35
-  ],
-  "observations": [
-    "Projected centerline and tube follow the visible ring in all four reference views; occluded arc is a prior continuation, not observed geometry.",
-    "Rotation and geometry checks show one closed tube without self intersection; no geometric shift or clamp was applied.",
-    "Source depth clouds show camera-dependent vertical spread; tube minimum z is about -0.996 mm relative to table.",
-    "The one-round curve figure has no visible line segment; rounds.jsonl supplies the reported numerical stop and metrics.",
-    "Rerun also shows the smaller PCA initialization ellipse; it is not the fitted tube.",
-    "274 of 864 tube vertex colours are median-filled by the prescribed recipe; static appearance has not been trained."
-  ],
-  "fit": {
-    "rounds": 1,
-    "stop": "gradient_tolerance",
-    "length_m": 0.639922559261322,
-    "max_curvature_per_m": 18.291027069091797,
-    "per_view_residuals": [
-      {
-        "view": 0,
-        "count": 4638,
-        "median_m": 0.006107456749305129,
-        "p90_m": 0.009142554365098476,
-        "max_m": 0.012404278852045536,
-        "beyond_2delta_fraction": 0.047003018542475204,
-        "at_cap_fraction": 0.0
-      },
-      {
-        "view": 1,
-        "count": 4381,
-        "median_m": 0.004484528210014105,
-        "p90_m": 0.006504482124000788,
-        "max_m": 0.008759399875998497,
-        "beyond_2delta_fraction": 0.0,
-        "at_cap_fraction": 0.0
-      },
-      {
-        "view": 2,
-        "count": 4548,
-        "median_m": 0.008214747067540884,
-        "p90_m": 0.011150478944182396,
-        "max_m": 0.014343439601361752,
-        "beyond_2delta_fraction": 0.20602462620932277,
-        "at_cap_fraction": 0.0
-      },
-      {
-        "view": 3,
-        "count": 2577,
-        "median_m": 0.00661792978644371,
-        "p90_m": 0.009271836467087268,
-        "max_m": 0.01244825404137373,
-        "beyond_2delta_fraction": 0.059371362048894066,
-        "at_cap_fraction": 0.0
-      }
-    ]
-  },
-  "tube_passed": true,
-  "tube_bounds_m": [
-    [
-      -0.03460824489593506,
-      -0.182035431265831,
-      -0.0009961067698895931
-    ],
-    [
-      0.20378842949867249,
-      -0.0007619347888976336,
-      0.007366076577454805
-    ]
-  ],
-  "hybrid_counts": {
-    "observed": 16144,
-    "mesh": 51840,
-    "total": 67984,
-    "mesh_to_observed": 3.2111000991080276
-  },
-  "next_stage": "Await owner prior approval before mechanical input construction and static appearance training; no physical fitting."
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/orbit_samples.png b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/orbit_samples.png
deleted file mode 100644
index fb8d8a0350b1b613383618874a55eb3384460fc6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/orbit_samples.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d9213d6a99b990e8152953462206dc7d91ec06108eb0159b372c160a709c82ce
-size 382549
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/source_frame_mapping.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/source_frame_mapping.json
deleted file mode 100644
index 04399ef2fd9e4dbea6d9b50ec1883f7a7488d9b8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/source_frame_mapping.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
-  "views": [
-    {
-      "serial": "12540311",
-      "window_local_t": 0,
-      "converted_frame": 328,
-      "native_container_frame": 329,
-      "capture_time_ns": 1790045983632727797,
-      "offset_from_initial_30hz_sample_ms": 12.471081
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-    {
-      "serial": "12933256",
-      "window_local_t": 1,
-      "converted_frame": 328,
-      "native_container_frame": 329,
-      "capture_time_ns": 1790045983657992606,
-      "offset_from_initial_30hz_sample_ms": -12.793728
-    },
-    {
-      "serial": "17736741",
-      "window_local_t": 0,
-      "converted_frame": 328,
-      "native_container_frame": 329,
-      "capture_time_ns": 1790045983645198878,
-      "offset_from_initial_30hz_sample_ms": 0.0
-    },
-    {
-      "serial": "23007103",
-      "window_local_t": 0,
-      "converted_frame": 328,
-      "native_container_frame": 329,
-      "capture_time_ns": 1790045983643680625,
-      "offset_from_initial_30hz_sample_ms": 1.518253
-    }
-  ],
-  "orbit_frames": 36,
-  "orbit_fps": 12.0,
-  "inspected_orbit_indices": [
-    0,
-    5,
-    10,
-    15,
-    20,
-    25,
-    30,
-    35
-  ]
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1.log
deleted file mode 100644
index 7b685493c9b16afa79ecc75bf11db1003cc121ef..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1.log
+++ /dev/null
@@ -1 +0,0 @@
-tube: ok -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/tube.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_argv.json
deleted file mode 100644
index 5ee663129934f1cc75d10455ea3b4548d758f064..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "environment": {
-    "JAX_PLATFORMS": "cpu"
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_result.json
deleted file mode 100644
index f226064fd9a14d3d750be3cd5d63ecaf2bf39db4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/prior_tube_setup_retry1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 4.910648922999826
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks.log
deleted file mode 100644
index 31750355ffe18f0db946efd872a6acf54af9f1ed..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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': 1225, 'hand_A': 3701, 'hand_B': 0}
-12933256: members {'object': 1842, 'hand_A': 3054, 'hand_B': 0}
-17736741: members {'object': 1149, 'hand_A': 3808, 'hand_B': 0}
-23007103: members {'object': 1629, 'hand_A': 3238, 'hand_B': 0}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json
deleted file mode 100644
index 1852960267f953d6007a4cc74cb35c75fca6e333..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json
+++ /dev/null
@@ -1,200 +0,0 @@
-{
-  "inputs": {
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/inspection/frames.npz",
-    "annotations": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/annotations",
-    "masks": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/masks"
-  },
-  "mask_signoff": {
-    "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/review_signoff.json",
-    "signoff_sha256": "5b3489c5e5edb71537f8a065af832892b4628289a2e60c79bb7c61193bbe6299",
-    "reviewed_by": "owner",
-    "decision": "Accept these corrected masks",
-    "date": "2026-10-27T23:31:58Z",
-    "labelling_as_accepted": "object is orange taped round belt; hand_A is right bracelet hand, bare forearm through fingertips excluding bracelet/sleeve; hand_B absent as a controller; occluder is whole person including clothes and accessories"
-  },
-  "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": 0.9805639484978541,
-      "frame0_status": {
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-        "invalid_depth_at_frame0": 32,
-        "member": 4926,
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-      "frame0_members": {
-        "object": 1225,
-        "hand_A": 3701,
-        "hand_B": 0
-      },
-      "ambiguous_frame0": {
-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
-        "queries": [
-          2839,
-          4364
-        ],
-        "instances": [
-          [
-            "object",
-            "hand_A"
-          ],
-          [
-            "object",
-            "hand_A"
-          ]
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-      "mask_uncovered_frames": {
-        "object": 0,
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-        "rule": "frame-zero pixel in more than one instance mask: excluded from every population (owner decision 2026-09-23)",
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-      "frame0_members": {
-        "object": 1149,
-        "hand_A": 3808,
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-      "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": {
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-        "hand_B": 0
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-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12540311.npz b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12540311.npz
deleted file mode 100644
index 94d6c667583054d7a87e33f6c95827ec7de07b14..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12540311.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12933256.npz b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12933256.npz
deleted file mode 100644
index d7accaa0a1f4e83f9c2f6f63a3042daf9ba3aace..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_12933256.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_17736741.npz b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_17736741.npz
deleted file mode 100644
index e0e8e59b9e5e65a09b6cacb5ba6b63884e76ce75..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_17736741.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_23007103.npz b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_23007103.npz
deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks/tracks_23007103.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks_argv.json
deleted file mode 100644
index 30cf3df763e623d2f92ec99755a92e851df70fee..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/query_tracks_argv.json
+++ /dev/null
@@ -1,23 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "track",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/masks",
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index 652a5d990f5c35ec20a7fa9e7c6a9d50ca8fcb58..0000000000000000000000000000000000000000
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-{
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+++ /dev/null
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-[
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-        "12540311": {
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-          "hand_B": 0
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-        "17736741": {
-          "hand_A": 489,
-          "hand_B": 0
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-        "23007103": {
-          "hand_A": 804,
-          "hand_B": 0
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-      "motion_filter_rejected": {
-        "12540311": {
-          "hand_A": 926,
-          "hand_B": 0
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-        "12933256": {
-          "hand_A": 783,
-          "hand_B": 0
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-          "hand_A": 1271,
-          "hand_B": 0
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-        "23007103": {
-          "hand_A": 1172,
-          "hand_B": 0
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-      },
-      "beyond_controller_gate": {
-        "12540311": {
-          "hand_A": 2231,
-          "hand_B": 0
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-        "12933256": {
-          "hand_A": 1471,
-          "hand_B": 0
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-        "17736741": {
-          "hand_A": 1988,
-          "hand_B": 0
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-        "23007103": {
-          "hand_A": 1079,
-          "hand_B": 0
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-      },
-      "not_fps_selected": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "12933256": {
-          "hand_A": 122,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 47,
-          "hand_B": 0
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-        "23007103": {
-          "hand_A": 230,
-          "hand_B": 0
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-      },
-      "selected": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "12933256": {
-          "hand_A": 9,
-          "hand_B": 0
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-        "17736741": {
-          "hand_A": 5,
-          "hand_B": 0
-        },
-        "23007103": {
-          "hand_A": 16,
-          "hand_B": 0
-        }
-      }
-    },
-    "controllers": {
-      "selected": 30,
-      "per_hand": {
-        "hand_A": 30,
-        "hand_B": 0
-      },
-      "per_view_hand": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "12933256": {
-          "hand_A": 9,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 5,
-          "hand_B": 0
-        },
-        "23007103": {
-          "hand_A": 16,
-          "hand_B": 0
-        }
-      },
-      "failure": null
-    },
-    "missing_controller_gate": {
-      "passed": true,
-      "controls_per_hand": {
-        "hand_A": 30
-      }
-    },
-    "grid": {
-      "rate_hz": 30,
-      "period_ns": "1000000000/30",
-      "origin_ns": 1790045983645198878,
-      "sample_count_F": 233,
-      "transition_count_K": 232,
-      "last_sample_ns": "5370137974135596634/3",
-      "common_support_ns": [
-        1790045983645198878,
-        1790045991385776450
-      ],
-      "annotation_half_open_ns": [
-        1790045983632727797,
-        1790045991393256615
-      ],
-      "unsampled_leading_ms_vs_annotation": 12.471081,
-      "unsampled_trailing_ms_vs_annotation": 14.724403666666666,
-      "unsampled_trailing_ms_vs_common_support": 7.244238666666667
-    },
-    "controller_pool": {
-      "controller_gate_m": 0.04,
-      "participating_hands": [
-        "hand_A"
-      ],
-      "survivors": {
-        "12540311": {
-          "hand_A": 2231,
-          "hand_B": 0
-        },
-        "12933256": {
-          "hand_A": 1602,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 2040,
-          "hand_B": 0
-        },
-        "23007103": {
-          "hand_A": 1325,
-          "hand_B": 0
-        }
-      },
-      "pool": {
-        "12540311": {
-          "hand_A": 0,
-          "hand_B": 0
-        },
-        "12933256": {
-          "hand_A": 131,
-          "hand_B": 0
-        },
-        "17736741": {
-          "hand_A": 52,
-          "hand_B": 0
-        },
-        "23007103": {
-          "hand_A": 246,
-          "hand_B": 0
-        }
-      },
-      "survivor_distance_to_belt_mm_p5_p50_p95": {
-        "hand_A": [
-          37.7,
-          93.5,
-          140.6
-        ]
-      },
-      "selected_distance_to_belt_mm_max": 39.94480021577554
-    },
-    "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": 689946,
-        "left raw bracket sample not valid": 21760,
-        "right raw bracket sample not valid": 21934,
-        "both raw bracket samples not valid": 49706
-      },
-      "hand": {
-        "valid": 3018680,
-        "left raw bracket sample not valid": 20141,
-        "right raw bracket sample not valid": 20438,
-        "both raw bracket samples not valid": 185732
-      }
-    }
-  },
-  "initialization": {
-    "nodes": 796,
-    "controls": 30,
-    "total_source_mass_units": 796.0,
-    "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": 232,
-      "consumed_total_minus_period_total_s": 9.357269542912642e-08,
-      "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
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-      [
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-        1.0,
-        0.0,
-        0.0
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-      [
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-        0.0,
-        1.0,
-        0.0
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-      [
-        0.0,
-        0.0,
-        0.0,
-        1.0
-      ]
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-    "staging": {
-      "max_abs_object_staging_shift_m": 7.433333060191671e-09,
-      "max_abs_controller_staging_shift_m": 4.7287247451066605e-09,
-      "object_nodes": 796,
-      "populations": {
-        "N": 796,
-        "S": 796,
-        "A": 796,
-        "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": 12325,
-      "controller_springs": 570,
-      "object_rest_min_max_m": [
-        0.0001658037945162505,
-        0.019997308030724525
-      ],
-      "controller_rest_min_max_m": [
-        0.011519250459969044,
-        0.039996400475502014
-      ],
-      "isolated_object_nodes": 0,
-      "attached_object_nodes": 66,
-      "controls_without_attachment": 0,
-      "attachments_by_hand": {
-        "hand_A": 570
-      }
-    },
-    "source_center_model": {
-      "directory": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/rt3_lifts/fitting/source_center_model",
-      "purpose": "pre-fit inspection",
-      "device": "cpu"
-    }
-  }
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands.log
deleted file mode 100644
index 83081bec3710c413d697be3f350f0c40109e810e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/review_signoff.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_argv.json
deleted file mode 100644
index 978917b93e1c093f9ced62e9e93006fe94b680cc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_argv.json
+++ /dev/null
@@ -1,29 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "signoff",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/masks",
-  "--reviewed-by",
-  "owner",
-  "--decision",
-  "Accept these corrected masks",
-  "--labelling-as-accepted",
-  "object is orange taped round belt; hand_A is right bracelet hand, bare forearm through fingertips excluding bracelet/sleeve; hand_B absent as a controller; occluder is whole person including clothes and accessories",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/MASK_REVIEW_c6a_owner_sparse_v3.md",
-  "--code",
-  "03793712dfbce80650569f886b6e800b9c6cace4",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/review_signoff.json",
-  "--instance",
-  "object",
-  "--instance",
-  "hand_A",
-  "--instance",
-  "hand_B"
-]
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_result.json
deleted file mode 100644
index 23400b961dd4514e7dc2a4e00465b130c879b82e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_object_hands_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 445.5109946550001
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder.log
deleted file mode 100644
index 81b5e5e38305b344ecc0e87beaa7fa473a465dfe..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/review_signoff_occluder.json
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_argv.json
deleted file mode 100644
index cebfd91c9fd2b1e170f91ca8178b6f6206aa3947..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_argv.json
+++ /dev/null
@@ -1,25 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "signoff",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/masks",
-  "--reviewed-by",
-  "owner",
-  "--decision",
-  "Accept these corrected masks",
-  "--labelling-as-accepted",
-  "object is orange taped round belt; hand_A is right bracelet hand, bare forearm through fingertips excluding bracelet/sleeve; hand_B absent as a controller; occluder is whole person including clothes and accessories",
-  "--review-material",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/MASK_REVIEW_c6a_owner_sparse_v3.md",
-  "--code",
-  "03793712dfbce80650569f886b6e800b9c6cace4",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/review_signoff_occluder.json",
-  "--instance",
-  "occluder"
-]
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_result.json
deleted file mode 100644
index bd477bee401106887247eb10125aa181e1566ec3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/signoff_occluder_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 537.0101726829998
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tap_raw_integrity.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tap_raw_integrity.json
deleted file mode 100644
index 3eabbac32ddcb686c3e640b091c1c7eba28c5652..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tap_raw_integrity.json
+++ /dev/null
@@ -1,46 +0,0 @@
-[
-  {
-    "view": "12540311",
-    "T": 233,
-    "Q": 5000,
-    "visible_fraction_min_mean_max": [
-      0.8986,
-      0.9426712446351931,
-      1.0
-    ],
-    "queries_and_times_unchanged": true
-  },
-  {
-    "view": "12933256",
-    "T": 233,
-    "Q": 5000,
-    "visible_fraction_min_mean_max": [
-      0.9048,
-      0.9505244635193133,
-      1.0
-    ],
-    "queries_and_times_unchanged": true
-  },
-  {
-    "view": "17736741",
-    "T": 233,
-    "Q": 5000,
-    "visible_fraction_min_mean_max": [
-      0.944,
-      0.9660892703862661,
-      1.0
-    ],
-    "queries_and_times_unchanged": true
-  },
-  {
-    "view": "23007103",
-    "T": 233,
-    "Q": 5000,
-    "visible_fraction_min_mean_max": [
-      0.9616,
-      0.9833957081545064,
-      1.0
-    ],
-    "queries_and_times_unchanged": true
-  }
-]
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks.log b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks.log
deleted file mode 100644
index ae564ae570b03a7665cf6af63c32b13f1b87e115..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/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 233 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz
-12933256: saved 233 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz
-17736741: saved 233 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz
-23007103: saved 233 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks/track_report.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks/track_report.json
deleted file mode 100644
index 8520028e98111069c6ee0ac791e44e41c170699b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks/track_report.json
+++ /dev/null
@@ -1,99 +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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-  "selected_frames_sha256": "9791a6c06cfaca506cef646ab82b81246e6798fcbdab9f8de165b95eb8a4ecdf",
-  "selected_session": "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-  "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/inspection/frames.npz",
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-    }
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-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_argv.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_argv.json
deleted file mode 100644
index ec796be2fd6f8fd0448ac92ef880eac3fe58c2a2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_argv.json
+++ /dev/null
@@ -1,18 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/run_rt2_tapnextpp_tracks.py",
-  "--result-root",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560",
-  "--selected-session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_225908_522335",
-  "--selected-frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/frames_waft.npz",
-  "--saved-query-tracks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_225908_522335/window_anchor0328-0560/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_225908_522335/window_anchor0328-0560/accepted_input_preparation_c6a_v1/tapnextpp_tracks"
-]
diff --git a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_result.json b/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_result.json
deleted file mode 100644
index 7378252e977870f246e7f63dc83e507a9b05c73d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 885.923278233
-}
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/colors/color_summary.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/colors/color_summary.json
deleted file mode 100644
index 9e20fb7ae1e0d2519e7f27c5eb2b556c6628e522..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/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,
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-      "projected_inside": 864,
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-    "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_225908_522335/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz
deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fcac8f180684431659cc5651427086a46d5bc42da6ccd8bb492ff4e8565a7f3b
-size 28680
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz
deleted file mode 100644
index bdb216aa937b637d7ca9535d9fce4ad42a352750..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:85727d2fec2549a2b90d209d6cf52a5f87c251213c960ae9280df2ad23dca94b
-size 2642462
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json
deleted file mode 100644
index f7038dea52b7e09c3502f88bbe5f032aff3acebc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json
+++ /dev/null
@@ -1,90 +0,0 @@
-{
-  "annulus_px": [
-    20,
-    80
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-  "interior_erosion_px": 2,
-  "correction_applied": false,
-  "views": [
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/observed_cloud.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/observed_cloud.npz
deleted file mode 100644
index 5083b8bf25653bba359e2285f958c25788ff79fb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/observed_cloud.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:523b130f9f3a71dad83e698c055fc34f9289f9eba74b377877168d8ead97ad7a
-size 1163740
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/reference_views.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/reference_views.json
deleted file mode 100644
index 52844c45cf28e3748f346822c6e615e2ab15f279..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/inputs/reference_views.json
+++ /dev/null
@@ -1,100 +0,0 @@
-{
-  "case": "session_20260921_225908_522335",
-  "grid_sample": 0,
-  "views": [
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-      "outlier_removed_points": 150
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-      "serial": "12933256",
-      "native_frame": 1,
-      "offset_ms": -12.793728,
-      "object_mask_px": 7757,
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-      "occlusion_union_px": 145891,
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-      "lifted_points": 4381,
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-      "uneroded_lifted_z_min_max_m": [
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-      "eroded_lifted_points": 4527,
-      "erosion_removed_points": 3230,
-      "outlier_removed_points": 146
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-      "index": 2,
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-      "native_frame": 0,
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-      "occlusion_union_px": 194798,
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-  "mask_erosion_px": 2
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/manifest.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/manifest.json
deleted file mode 100644
index d9a27086f8be868ba98dbb5ba0339136c04eacd9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/manifest.json
+++ /dev/null
@@ -1,835 +0,0 @@
-{
-  "kind": "real_rgbd_appearance_spline_prior_v1",
-  "code": {
-    "commit": "03793712dfbce80650569f886b6e800b9c6cace4",
-    "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,
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-          {
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-            "serial": "12540311",
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-            "projected_inside": 864,
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-          },
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-        "filled_vertices": 274,
-        "fill_color_rgb": [
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-          0.30196078431372547,
-          0.09352521974469497
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-        "glb_roundtrip": {
-          "float32_positions_exact": true,
-          "vertex_colors_exact": true,
-          "uv_count": 0,
-          "vertex_reordered_on_open3d_load": true
-        },
-        "files": {
-          "colors/vertex_colors.npz": "fcac8f180684431659cc5651427086a46d5bc42da6ccd8bb492ff4e8565a7f3b",
-          "colors/color_summary.json": "8eaa5104279b59a68ea55d3d5e6824f36f0d01aba652742f095dc6cc171cc3f1",
-          "tube/shape_prior.glb": "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd",
-          "tube/tube.ply": "5d44f6f16c2c81734bd17e784ea854c23d879763f3a8dfeddf4ab6b23430c38a",
-          "gaussian_data/session_20260921_225908_522335/shape_prior.glb": "f967bddaa129d459e54be51335b8019460c824236b3cdad262dd6e3b01f03dfd"
-        }
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-      "settings": {
-        "correction": "none",
-        "annulus_px": [
-          20,
-          80
-        ]
-      },
-      "outputs": {
-        "report": {
-          "annulus_px": [
-            20,
-            80
-          ],
-          "interior_erosion_px": 2,
-          "correction_applied": false,
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/init_ellipse.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/init_ellipse.json
deleted file mode 100644
index 3a77488b95d925d282037555ac92c6b7f406834a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/init_ellipse.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json
deleted file mode 100644
index 1d3c15593b576410dc534c612120ca7400de8b91..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/reprojection_residuals.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/reprojection_residuals.npz
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deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/residuals.npz
+++ /dev/null
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deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/rounds.jsonl
+++ /dev/null
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json
deleted file mode 100644
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--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json
deleted file mode 100644
index 137e09c794f859f956737d2fc96f35120b7133bf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json
+++ /dev/null
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-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/colors.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/colors.json
deleted file mode 100644
index 5e6c85e41e2d654a621865a9befe6cb19fc6a9d4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/colors.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
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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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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/diagnose-depth.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/diagnose-depth.json
deleted file mode 100644
index 236f3090d5fd49606561e97236ae904c4e0e8954..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/diagnose-depth.json
+++ /dev/null
@@ -1,110 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "correction": "none",
-    "annulus_px": [
-      20,
-      80
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-  },
-  "outputs": {
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-        80
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-      "interior_erosion_px": 2,
-      "correction_applied": false,
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/fit.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/fit.json
deleted file mode 100644
index da4531e5be57b383df8882b67a8585bec1497a56..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/fit.json
+++ /dev/null
@@ -1,202 +0,0 @@
-{
-  "status": "ok",
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-      "name": "orange_round_belt",
-      "representation": "tube",
-      "fitter_source": "spline_estimation.round_belt_backend (accepted A/B priors)",
-      "dimension_source": "owner 2.95 mm cord radius (RP S-E, 2026-09-26)",
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-      "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",
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diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/hybrid.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/hybrid.json
deleted file mode 100644
index af22c1845a8758b83fc432275f52ad16ef2691f7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/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_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/inputs.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/inputs.json
deleted file mode 100644
index ba8624cfed274d40e093ccc5306f7f29832637df..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/inputs.json
+++ /dev/null
@@ -1,199 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/review.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/review.json
deleted file mode 100644
index 76ef04a2677daf0316fda310d723079ea0a836c9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/review.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
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-    "historical_prior": null,
-    "historical_sha256": null,
-    "baseline_fit": null
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-      "review/spline/round_curves.png": "2b0b6bc02a903f5e6d95a18481ed52eea696c07e34f2f0bad8cb3e247d09ccd1",
-      "review/spline/curvature_profile.png": "b677c750fcc2a302a1ef299af745afa0365b46b2fa9a8c277bb047642c27df3b",
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-      "review/colors/view_3_visibility.png": "301626f03f3f4a3f83c718677260ebcb670afa6d166dd83d957966e6d07be4fc",
-      "rerun/appearance_spline_prior.rrd": "f65f2d1a54b6b7620790367e862d675fa63b4a765cd4c8ee548b2603af74dd03"
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 13.663579225540161
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/tube.json b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/tube.json
deleted file mode 100644
index 30285b77f23d057641c53889f5c1feb0c606add2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/steps/tube.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "radius_m": 0.00295,
-    "step_t": 0.125,
-    "step_angle_deg": 30
-  },
-  "outputs": {
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 1.66843606958389e-05,
-      "minimum_outward_normal_dot_m": 0.002842365412735976,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 7.503313237660486e-09,
-      "maximum_diameter_error_m": 1.4946250681546758e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.01436957621459548,
-      "triangle_area_m2": {
-        "min": 5.195113028192032e-06,
-        "median": 6.751127031054331e-06,
-        "mean": 6.78027713408869e-06,
-        "max": 8.284457731867011e-06,
-        "density_max_over_min": 1.5946636169242523
-      },
-      "bounds_m": [
-        [
-          -0.03460824489593506,
-          -0.182035431265831,
-          -0.0009961067698895931
-        ],
-        [
-          0.20378842949867249,
-          -0.0007619347888976336,
-          0.007366076577454805
-        ]
-      ],
-      "radius_m": 0.00295,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "passed": true,
-      "orientation_flipped": true
-    },
-    "vertex_count": 864,
-    "triangle_count": 1728,
-    "files": {
-      "tube/tube_checks.json": "42cf6c64ffb0aaa8ef57994120a4156586eaac43060e6349d6df40322357bb99",
-      "tube/triangle_areas.npz": "ef21ed6a1d4d6a323474601cea75fd68aeb455c86b9cdf686ce59a87cb341993",
-      "tube/geometry.npz": "590c9c88de2b411083e242ac19b0c2e5c71deef60e16e16524fa7a3b6b3dbc24"
-    }
-  },
-  "code": {
-    "commit": "03793712dfbce80650569f886b6e800b9c6cace4",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 3.2678916454315186
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz
deleted file mode 100644
index 3ef63b4b0f4ce099f73efbc63259d31b5bc3969d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:590c9c88de2b411083e242ac19b0c2e5c71deef60e16e16524fa7a3b6b3dbc24
-size 85676
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz
deleted file mode 100644
index 6c0f8b203788388f256156a9531e33680d6f166f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ef21ed6a1d4d6a323474601cea75fd68aeb455c86b9cdf686ce59a87cb341993
-size 14092
diff --git a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/tube.ply b/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/tube.ply
deleted file mode 100644
index aef59cddde997d0b83eb025b8fc48765665b1e40..0000000000000000000000000000000000000000
Binary files a/sessions/session_20260921_225908_522335/preprocessing/orange-belt-prior-v1/native/tube/tube.ply and /dev/null differ
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/C6A_REVIEW.md b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/C6A_REVIEW.md
deleted file mode 100644
index 3063862bc1672f034368bc9ddd8e3fc288a485a7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/C6A_REVIEW.md
+++ /dev/null
@@ -1,58 +0,0 @@
-# session_20260921_230338_900969: selected-window mask review
-
-**window, masks, prior and trained appearance accepted; mechanical inputs and static review complete.**
-
-Owner-selected anchor camera 12540311 converted frames: **305–744 inclusive**.
-Object: taped round belt. Motion: right-handed lift completely off the table, let object pivot relative to grasp and compress against the table, then place down.
-Participating controllers: `hand_A`. 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 | 0–439 | 305–744 | 306–745 | 1790046253578688599 / 1790046268267288108 |
-| 12933256 | 0–439 | 304–743 | 305–744 | 1790046253569807751 / 1790046268251484432 |
-| 17736741 | 0–439 | 305–744 | 306–745 | 1790046253574614326 / 1790046268264608576 |
-| 23007103 | 0–439 | 304–743 | 305–744 | 1790046253569705540 / 1790046268262722757 |
-
-[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_230338_900969/window_anchor0280-0759/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.
-
-## Accepted preparation
-
-[Reference observations](accepted_input_preparation_c6a_v1/review_v1/REVIEW.md) · [Accepted initial prior](accepted_input_preparation_c6a_v1/prior_review_v1/PRIOR_REVIEW_c6a_v1.md) · [Prior acceptance](owner_prior_acceptance_c6a_v1.json).
-
-These are prepared inputs and static appearance results. No physical fitting or dynamics has run.
-
-[Accepted trained appearance](accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md) · [Appearance acceptance record](owner_appearance_acceptance_c6a_v1.json). The disclosed open grasp gap and diffuse fringe remain.
-
-Mechanical preparation and static review are complete: 758 observed +187 surface +1 core =946 unit-mass particles and 30 measured hand A controls. All 25 numerical checks passed, all 20 mechanical arrays were reused exactly, and both plots were inspected. The original runner exited 143 before recording the v3 exit; [saved-stage readback](accepted_input_preparation_c6a_v1/mech_v3_completion_readback.json) verifies complete v3 science, followed by three successful continuation stages. No resampling occurred. [Numerical review](accepted_input_preparation_c6a_v1/supervision/review_c6a_v1/numerical_review.json) · [Visual findings](accepted_input_preparation_c6a_v1/supervision/review_c6a_v1/visual_review.json) · [Initial geometry](accepted_input_preparation_c6a_v1/supervision/review_c6a_v1/initial_geometry.png) · [Graph and measured controls](accepted_input_preparation_c6a_v1/supervision/review_c6a_v1/graph_and_observed_controls.png).
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/mask_review_selection.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/mask_review_selection.json
deleted file mode 100644
index 35dde2540677e9d3234cf2bbb10747372568d26f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/mask_review_selection.json
+++ /dev/null
@@ -1,1896 +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_230338_900969/window_anchor0305-0744/owner_window_decision.json",
-  "previous_packet": {
-    "session_id": "session_20260921_230338_900969",
-    "object": "taped round belt",
-    "motion": "right-handed lift completely off the table, let object pivot relative to grasp and compress against the table, then place down",
-    "proposed_anchor_frames": "280-759",
-    "T": "480",
-    "per_camera_counts": "480/480/480/480",
-    "rectangular": "true",
-    "participating_hands": "hand_A",
-    "alternatives": "",
-    "masks": "not yet proposed",
-    "case_dir": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-    "status": "window proposed; pending owner review",
-    "source_proposal": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_proposal_c1/proposal.json",
-    "current_proposal": {
-      "start_anchor_frame": 280,
-      "end_anchor_frame_inclusive": 759,
-      "start_ns": 1790046252741453604,
-      "end_ns": 1790046268764897011,
-      "rationale": "12933256 zoom: fingertip above loop with gap 264-270, approaching 272-276, on the loop from 278 (=anchor 279); anchor view shows fingers over the loop end from 272. 280 = first anchor frame with contact in both opposing views. Same pinch on the same (person-side) point of the loop through on-table grip (~280-340), lift (~340-400), hanging/pivoting carry (~400-500), lowering and compression against the table (~508-628), re-lift (~628-700), set-down (~708-740) and hold. End: 12933256 single frames show fingers on the loop through conv 758 (=anchor 759) and the hand lifting with blur at 759 (9.5 ms before anchor 760); anchor shows fingers still curled at 760, hand sliding off at 761-763. 759 = conservative last held frame."
-    },
-    "amendment": null,
-    "owner_accepted": false,
-    "products": [
-      {
-        "root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-        "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-        "serials": [
-          "12540311",
-          "12933256",
-          "17736741",
-          "23007103"
-        ],
-        "T": 480,
-        "use": "rectangular proposed captures"
-      }
-    ]
-  },
-  "cameras": [
-    {
-      "serial": "12540311",
-      "view_index": 0,
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/inspection/frames.npz",
-      "source_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-      "source_mask_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-      "source_rows": [
-        25,
-        26,
-        27,
-        28,
-        29,
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-        31,
-        32,
-        33,
-        34,
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-        38,
-        39,
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-        42,
-        43,
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-        45,
-        46,
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-        48,
-        49,
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-        51,
-        52,
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diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12540311/review_signoff.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12540311/review_signoff.json
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-          "runs": [
-            {
-              "file": "masks/12540311/hand_B/run0001_t0000-0480.npz",
-              "sha256": "96aeb9044eeaad804ca85519e68b1e701dc452a72116c6c7460d8908f7a8c8a8"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12540311/hand_B/t0000_v01.json",
-              "sha256": "88f690808211f7e2131d043c97142f2207ac37c223ed9fd57186a951ab77d429"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 440,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:38Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12540311/review_signoff_occluder.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12540311/review_signoff_occluder.json
deleted file mode 100644
index 6b269c819a286016d17d1bdc4d4a8fbd7d558351..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12540311/review_signoff_occluder.json
+++ /dev/null
@@ -1,1389 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      305,
-      745
-    ],
-    "anchor_time_ns_first_last": [
-      1790046253578688599,
-      1790046268267288108
-    ]
-  },
-  "frames_npz_sha256": "71af213503e0bec1e32e10bbb538bdf47c54d6f8e905222c979f016dc6389375",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "12540311",
-      "instance": "occluder",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-          "frames_npz_sha256": "60ff1bfb872ec4bd5e6de94815b3aea0d442da50eddbdc3c664339f77575468d",
-          "source_rows": [
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-          "runs": [
-            {
-              "file": "masks/12540311/occluder/run0002_t0000-0480.npz",
-              "sha256": "405a98eeb2c4d73ed378e89e78b5bec24d32d8ed798c3b6f7bbbada7cc4b5261"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12540311/occluder/t0000_v02.json",
-              "sha256": "4700f7f8403c09e8a12262433ed9096c12a45c00e2ba6d0853cc0fec6eddaae2"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 440,
-      "visible_frames": 440
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:41Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/inspection/frames.npz b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/inspection/frames.npz
deleted file mode 100644
index bdc31ccf3b8b18cbed4cf77d8ceaa486fafeb7e1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9840bb63d84396dc497dc679061b22db0daaf840d6db7bd2a3a4097ba3e60241
-size 106800
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff.json
deleted file mode 100644
index fc04aab909284d2b63e4553fd3a82848c6ba50d3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff.json
+++ /dev/null
@@ -1,4093 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      303,
-      743
-    ],
-    "anchor_time_ns_first_last": [
-      1790046253569807751,
-      1790046268251484432
-    ]
-  },
-  "frames_npz_sha256": "9840bb63d84396dc497dc679061b22db0daaf840d6db7bd2a3a4097ba3e60241",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
-    {
-      "serial": "12933256",
-      "instance": "object",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-          "frames_npz_sha256": "60ff1bfb872ec4bd5e6de94815b3aea0d442da50eddbdc3c664339f77575468d",
-          "source_rows": [
-            25,
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-          ],
-          "runs": [
-            {
-              "file": "masks/12933256/hand_B/run0001_t0000-0480.npz",
-              "sha256": "e2a5e7d2ecd99098eb09229265f68395c3cad6190249459694586c00eaa470b6"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12933256/hand_B/t0000_v01.json",
-              "sha256": "9699f31e2af670380332bba3e58d0d9b5b865b44acfe7e506b5f5978ae507c51"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 440,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:43Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff_occluder.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff_occluder.json
deleted file mode 100644
index 2199821781e34b234539bbad3d4424793ec76d88..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/12933256/review_signoff_occluder.json
+++ /dev/null
@@ -1,1389 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      743
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-    "anchor_time_ns_first_last": [
-      1790046253569807751,
-      1790046268251484432
-    ]
-  },
-  "frames_npz_sha256": "9840bb63d84396dc497dc679061b22db0daaf840d6db7bd2a3a4097ba3e60241",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
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-      "instance": "occluder",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
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-              "sha256": "47d49d8849811f937a1844209a38d61c11044987b0fffa50499cf6c448e9a0f2"
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-      ],
-      "covered_frames": 440,
-      "visible_frames": 440
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:45Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/inspection/frames.npz b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/inspection/frames.npz
deleted file mode 100644
index e3e94e683c6c09194170a663f45b62f80f3406b5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3e15363b9b9e5dd7f27ba27160bff2ad0b29b0f902645f7e35f1cb2ec16d2c75
-size 106800
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff.json
deleted file mode 100644
index d08accff6136153ae52ae3866d41d2e8800139c8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff.json
+++ /dev/null
@@ -1,4093 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
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-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      744
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-    "anchor_time_ns_first_last": [
-      1790046253574614326,
-      1790046268264608576
-    ]
-  },
-  "frames_npz_sha256": "3e15363b9b9e5dd7f27ba27160bff2ad0b29b0f902645f7e35f1cb2ec16d2c75",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
-    {
-      "serial": "17736741",
-      "instance": "object",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
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-              "file": "masks/17736741/hand_B/run0001_t0000-0480.npz",
-              "sha256": "96affbf488bae1c4f5db753de1211049e5f9059f367c6f9d9eecc83277c54cc4"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/17736741/hand_B/t0000_v01.json",
-              "sha256": "8fb03349ec2c2d7861d0a4e9d4fbfdcd30065957edcff76259798350d9880cf2"
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-      ],
-      "covered_frames": 440,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:47Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff_occluder.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff_occluder.json
deleted file mode 100644
index f5ce383126c63b07ea43d513e599260628dcba10..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/17736741/review_signoff_occluder.json
+++ /dev/null
@@ -1,1389 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      304,
-      744
-    ],
-    "anchor_time_ns_first_last": [
-      1790046253574614326,
-      1790046268264608576
-    ]
-  },
-  "frames_npz_sha256": "3e15363b9b9e5dd7f27ba27160bff2ad0b29b0f902645f7e35f1cb2ec16d2c75",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-          "frames_npz_sha256": "60ff1bfb872ec4bd5e6de94815b3aea0d442da50eddbdc3c664339f77575468d",
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-          "runs": [
-            {
-              "file": "masks/17736741/occluder/run0002_t0000-0480.npz",
-              "sha256": "786c3e61596324eff62ab1e244b5ae2961bd7a0aab30e8f4e4301855cc44bcc3"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/17736741/occluder/t0000_v02.json",
-              "sha256": "8964e46805c7a9ea9d9939d83c0182038f12ffe30fd3b160e83c47f4cb85bb3e"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 440,
-      "visible_frames": 440
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:50Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/inspection/frames.npz b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/inspection/frames.npz
deleted file mode 100644
index 4ee9533bc95b45d24c30b05595d40d9b9bcdd363..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:13bf0eb4bf83df5132414da508b5f5e8a023068218ac0ab673c77821cdf04efc
-size 106800
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff.json
deleted file mode 100644
index c66a186adbf4b53415477ce8489a05df8ef48f5a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff.json
+++ /dev/null
@@ -1,4093 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      303,
-      743
-    ],
-    "anchor_time_ns_first_last": [
-      1790046253569705540,
-      1790046268262722757
-    ]
-  },
-  "frames_npz_sha256": "13bf0eb4bf83df5132414da508b5f5e8a023068218ac0ab673c77821cdf04efc",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
-    {
-      "serial": "23007103",
-      "instance": "object",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-          "frames_npz_sha256": "60ff1bfb872ec4bd5e6de94815b3aea0d442da50eddbdc3c664339f77575468d",
-          "source_rows": [
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-          "runs": [
-            {
-              "file": "masks/23007103/hand_B/run0001_t0000-0480.npz",
-              "sha256": "9eac503002fa487cdc066fc7d517ba0ef44d9ad20d24d300f895dd517d41934a"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/23007103/hand_B/t0000_v01.json",
-              "sha256": "ddece89b5328296f7bd77867951f52b284e675feabb37ccfe331360d8e23fd90"
-            }
-          ]
-        }
-      ],
-      "covered_frames": 440,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:52Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff_occluder.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff_occluder.json
deleted file mode 100644
index 90bc0d2a51e739cbe471ed701508a2cf33cf9e0c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/cameras/23007103/review_signoff_occluder.json
+++ /dev/null
@@ -1,1389 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "89acbd0483ac54d4076dda9e9b8ee1a0d7327c20e39efafdf6cf6452159d660e",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      303,
-      743
-    ],
-    "anchor_time_ns_first_last": [
-      1790046253569705540,
-      1790046268262722757
-    ]
-  },
-  "frames_npz_sha256": "13bf0eb4bf83df5132414da508b5f5e8a023068218ac0ab673c77821cdf04efc",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
-      "serial": "23007103",
-      "instance": "occluder",
-      "sources": [
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-              "sha256": "a3e599d611dc5eb2f3004d1446fbc563045f7ced47859dfb0c4d43b2b9f49542"
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-              "sha256": "89da62f9f291ff319e40fa1e43b6c64e684d59fbbba49c23808215ab1ad09313"
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-      "covered_frames": 440,
-      "visible_frames": 440
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-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:55Z",
-  "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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json"
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-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/inspection.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/inspection.json
deleted file mode 100644
index de60d25ca07b24213eabe9f56b326f560ed8705f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/inspection.json
+++ /dev/null
@@ -1,497 +0,0 @@
-{
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diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/per_camera_inputs.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/per_camera_inputs.json
deleted file mode 100644
index 3a024e96a5836e255c8bf475620b3adc2a0b44f9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/native_inputs/per_camera_inputs.json
+++ /dev/null
@@ -1,33 +0,0 @@
-{
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-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_acceptance_c6a_v1.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_acceptance_c6a_v1.json
deleted file mode 100644
index c5a618433336bee4d83d45df9ec60a95064a710f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "Accept 230338\u2019s appearance",
-  "question_item_id": "[\"request_user_input_async\",\"call_0cc902e04d1f485d97005a89e7d401e8\",0]",
-  "recorded_utc": "2026-10-28T18:02:27.021500+00:00",
-  "run_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "8d7e0d80444e79083b443e4b3c330f0ae5f777912a0e52a0239c6e56d1170aa2",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md",
-  "scope": "Accept the saved trained appearance with documented hidden-grasp gap and diffuse fringe. Physical fitting remains a separate decision."
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_review_request_c6a_v1.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_review_request_c6a_v1.json
deleted file mode 100644
index f742acc07bbd1092ac4ebc5da9f8874f50f71dc7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_appearance_review_request_c6a_v1.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "requested_utc": "2026-10-28T18:00:49.527850+00:00",
-  "run_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "8d7e0d80444e79083b443e4b3c330f0ae5f777912a0e52a0239c6e56d1170aa2",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md",
-  "owner_decision": "pending",
-  "physical_fitting": "not authorized by appearance acceptance"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_inspect.log b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_inspect.log
deleted file mode 100644
index 15ec3ad835b11aebe3aaa95fa4d101de734ce6d0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_inspect.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/per_camera_inputs.json and /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/inspection.json
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_inspect_argv.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_inspect_argv.json
deleted file mode 100644
index eb36414e2f29d3150139b55c5c8d2dc5c244f04c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/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_230338_900969",
-  "--window",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/phystwin_window.yaml",
-  "--per-camera",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs"
-]
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_mask_acceptance_c6a_selected_20261028.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_mask_acceptance_c6a_selected_20261028.json
deleted file mode 100644
index dbc2980da8b4842b89e330829abc036d8823c54a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_mask_acceptance_c6a_selected_20261028.json
+++ /dev/null
@@ -1,15 +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": [
-    305,
-    744
-  ],
-  "participating_hands": [
-    "hand_A"
-  ],
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/C6A_REVIEW.md",
-  "review_media": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/review_tiled_c6a_20261028/media_index.json",
-  "selection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_acceptance_c6a_v1.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_acceptance_c6a_v1.json
deleted file mode 100644
index 07f2e96bab8ae98a4fd93f8823fca89bcc37a6f7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "Approve 230338\u2019s prior",
-  "question_item_id": "[\"request_user_input_async\",\"call_8806bd1c8c204587891bec2989f5ecdb\",0]",
-  "recorded_utc": "2026-10-28T17:41:45.212956+00:00",
-  "scope": "Accept this reviewed orange-belt prior for mechanical input preparation and reference static appearance training. Trained appearance acceptance and physical fitting remain separate.",
-  "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "prior_manifest_sha256": "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-  "mesh_sha256": "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_review_v1/PRIOR_REVIEW_c6a_v1.md"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_review_request_c6a_v1.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_review_request_c6a_v1.json
deleted file mode 100644
index c7e638e4162e68e51fe6cff4aa4c3c4c1377c507..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_prior_review_request_c6a_v1.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
-  "requested_utc": "2026-10-28T17:40:04.859673+00:00",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "manifest_sha256": "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-  "mesh_sha256": "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_review_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"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window.log b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window.log
deleted file mode 100644
index 47904a9de22e93d7ca610680f343fb2c92491543..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/phystwin_window.yaml
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window_argv.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window_argv.json
deleted file mode 100644
index 5cf79e00bf1d36f65ad4bc7cbad301570ed032b9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/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_230338_900969",
-  "--anchor-serial",
-  "12540311",
-  "--start-timestamp-ns",
-  "1790046253578688599",
-  "--end-timestamp-ns",
-  "1790046268267288108",
-  "--expected-visible-hands-or-arms",
-  "1",
-  "--object-description",
-  "taped round belt",
-  "--controller-description",
-  "hand_A = person's right hand (bracelet); hand_B = person's left hand. Participating: hand_A",
-  "--notes",
-  "Owner selected anchor12540311 converted frames 305-744 inclusive on 2026-10-28. Masks remain unapproved.",
-  "--output-path",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/phystwin_window.yaml"
-]
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window_decision.json b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/owner_window_decision.json
deleted file mode 100644
index e82809e38711ec566321499d007e4858d91d1f57..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/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": [
-    305,
-    744
-  ],
-  "mask_acceptance": "pending",
-  "previous_case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759"
-}
diff --git a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/phystwin_window.yaml b/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/native/phystwin_window.yaml
deleted file mode 100644
index 73ad3cc5e367b9212d98f47313715ce9d99de81b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/annotations/windows/window_anchor0305-0744/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_230338_900969
-  session_id: session_20260921_230338_900969
-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_230338_900969
-    --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: 33432089
-  fps_estimate: 29.911382
-manual_annotation:
-  start_global_timestamp_ns: 1790046253578688599
-  end_global_timestamp_ns: 1790046268267288108
-  start_condition: hand_or_forearm_visible_and_in_contact_with_object
-  end_condition: before_release_or_contact_break
-  expected_visible_hands_or_arms: 1
-  object_description: taped round belt
-  controller_description: 'hand_A = person''s right hand (bracelet); hand_B = person''s
-    left hand. Participating: hand_A'
-  annotator_notes: Owner selected anchor12540311 converted frames 305-744 inclusive
-    on 2026-10-28. Masks remain unapproved.
-resolved_window:
-  start_sync_index: 305
-  end_sync_index_exclusive: 745
-  start_anchor_timestamp_ns: 1790046253578688599
-  end_anchor_timestamp_ns: 1790046268267288108
-  frame_count: 440
-  duration_s: 14.6886
-per_camera_resolution:
-  '12540311':
-    start_source_frame_index: 305
-    end_source_frame_index_exclusive: 745
-    start_source_timestamp_ns: 1790046253578688599
-    end_source_timestamp_ns: 1790046268267288108
-    start_delta_ns: 0
-    end_delta_ns: 0
-  '12933256':
-    start_source_frame_index: 304
-    end_source_frame_index_exclusive: 744
-    start_source_timestamp_ns: 1790046253569807751
-    end_source_timestamp_ns: 1790046268251484432
-    start_delta_ns: -8880848
-    end_delta_ns: -15803676
-  '17736741':
-    start_source_frame_index: 305
-    end_source_frame_index_exclusive: 745
-    start_source_timestamp_ns: 1790046253574614326
-    end_source_timestamp_ns: 1790046268264608576
-    start_delta_ns: -4074273
-    end_delta_ns: -2679532
-  '23007103':
-    start_source_frame_index: 304
-    end_source_frame_index_exclusive: 744
-    start_source_timestamp_ns: 1790046253569705540
-    end_source_timestamp_ns: 1790046268262722757
-    start_delta_ns: -8983059
-    end_delta_ns: -4565351
-validation:
-  within_all_camera_overlap: true
-  start_before_end: true
-  min_abs_camera_delta_ns: 0
-  max_abs_camera_delta_ns: 15803676
-  warnings: []
-created_by: manual
-created_at: '2026-10-28T14:39:11+00:00'
-updated_at: '2026-10-28T14:39:11+00:00'
-
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md
deleted file mode 100644
index f9c0caaae0053a2a99c614fdaa1feee74d73c335..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# 230338: static appearance review
-
-**Status: reference training and agent review complete; owner appearance accepted.**
-
-Owner accepted this exact saved artifact at 2026-10-28T18:02:27.021500+00:00. [Acceptance record](../owner_appearance_acceptance_c6a_v1.json). The disclosed limitations remain.
-
-This appearance uses the accepted 305–744 window, masks and orange prior. It is trained on the four initial reference images with the unchanged recipe: 10,000 loop iterations and 9,999 Gaussian optimizer updates. The prior packet retains each camera’s own capture mapping. This review assesses static appearance only.
-
-[Rotation video](appearance_train_v1/review/novel_view.mp4) · [loss curves](appearance_train_v1/review/loss_curves.png)
-
-- [Camera 12540311: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_0_sheet.png)
-- [Camera 12933256: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_1_sheet.png)
-- [Camera 17736741: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_2_sheet.png)
-- [Camera 23007103: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_3_sheet.png)
-
-The visible orange belt and purple tape align across all four views. **The hand-hidden grasp arc remains incomplete**, with an open gap and a substantial local diffuse fringe, particularly visible in cameras 12540311 and 17736741. Small protrusions beside the gap remain in 12933256 and 23007103. The same gap and fringe persist in the sampled rotation views; no overall collapse or broad detached cloud was observed. These limitations are preserved in the saved result. The raw residual display compares against the full scene and is not the masked training objective.
-
-- Initial hybrid seeds: 67,023. Final saved Gaussians: 71,574; reference export after strict opacity >0.1: 62,910.
-- One isotropic scale column; final spherical-harmonic degree 3.
-- Mean same-view source total: 0.005413941 initially → 0.000231573 at iteration 10000. This averages the source full-image losses over the four training views; final review uses the reference opacity filter. It is not held-out evidence or a physical-accuracy measurement.
-- All arrays in 12 saved view files at iterations 0/7000/10000 and the input, iteration-7000 and final PLY payloads are finite. All three scalar histories cover every step 1–10000 with finite values.
-- Training and review returned zero; elapsed wall times 391.30 s and 217.59 s include shared resource-lane waiting.
-- [Summary](appearance_train_v1/review/summary.json) · [agent findings and exact coverage](appearance_train_v1/review/agent_findings.json) · [run flags](appearance_train_v1/run_record.json).
-
-The four final sheets, loss curves and orbit frames 0, 25, 50, 75, 100, 125, 150 and 175 of 200 were visually inspected. The curves settle after transients near 3000/6000/9000, consistent with the unchanged source opacity-reset schedule. Sampled inspection is not certification of every orbit frame.
-
-Owner appearance acceptance was recorded on 2026-10-28. It is separate from prior acceptance and does not authorize physical fitting.
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log
deleted file mode 100644
index bca1c5296e08385b90ed329cbda70e56fd22e833..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log
+++ /dev/null
@@ -1,57 +0,0 @@
-Found metadata.json file, assuming customized QQTT dataset! [28/10 13:42:53]
-Init points from pcd... [28/10 13:42:53]
-Init points from mesh... [28/10 13:42:53]
-Loading Training Cameras [28/10 13:42:53]
-Loading Test Cameras [28/10 13:42:53]
-Number of points at initialisation :  67023 [28/10 13:42:54]
-Sampling 100000 points from mesh [28/10 13:42:54]
-{
-  "cameras": [
-    {
-      "id": 0,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 7522,
-      "occlusion_px": 148319,
-      "valid_depth_px": 1978073,
-      "boundary_px": 3248,
-      "projection_max_error_px": 2.1509852530818225e-05
-    },
-    {
-      "id": 1,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 7856,
-      "occlusion_px": 152382,
-      "valid_depth_px": 2025899,
-      "boundary_px": 3297,
-      "projection_max_error_px": 2.3486082607385405e-07
-    },
-    {
-      "id": 2,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 8156,
-      "occlusion_px": 187146,
-      "valid_depth_px": 1990147,
-      "boundary_px": 3374,
-      "projection_max_error_px": 4.360702968703356e-06
-    },
-    {
-      "id": 3,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 4719,
-      "occlusion_px": 163019,
-      "valid_depth_px": 1906121,
-      "boundary_px": 2444,
-      "projection_max_error_px": 3.4120331901117232e-06
-    }
-  ],
-  "hybrid": {
-    "vertex_color_branch": true,
-    "mesh": 51840,
-    "observed": 15183,
-    "total": 67023
-  }
-} [28/10 13:42:54]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json
deleted file mode 100644
index 8217c49b4257271f91b0602f4e62ed5a5750f74f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json
+++ /dev/null
@@ -1,18 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--accepted-prior-manifest-sha256",
-    "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_check_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  }
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json
deleted file mode 100644
index 58753346ea0c0ea073da97513e182b3e02e27492..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 64.00823215600394
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1.log
deleted file mode 100644
index 1c5e5efc2caeab81139cd8947e59a7466c54bd66..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/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 13:52:52]
-Init points from pcd... [28/10 13:52:52]
-Init points from mesh... [28/10 13:52:52]
-Loading Training Cameras [28/10 13:52:52]
-Loading Test Cameras [28/10 13:52:52]
-Number of points at initialisation :  67023 [28/10 13:52:52]
-Sampling 100000 points from mesh [28/10 13:52:52]
-Loading trained model at iteration 7000 [28/10 13:52:54] [28/10 13:52:54]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 13:52:54] [28/10 13:52:54]
-Init points from pcd... [28/10 13:52:55] [28/10 13:52:55]
-Init points from mesh... [28/10 13:52:55] [28/10 13:52:55]
-Loading Training Cameras [28/10 13:52:55] [28/10 13:52:55]
-Loading Test Cameras [28/10 13:52:55] [28/10 13:52:55]
-Sampling 100000 points from mesh [28/10 13:52:55] [28/10 13:52:55]
-Loading trained model at iteration 10000 [28/10 13:52:56] [28/10 13:52:56] [28/10 13:52:56]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 13:52:56] [28/10 13:52:56] [28/10 13:52:56]
-Init points from pcd... [28/10 13:52:57] [28/10 13:52:57] [28/10 13:52:57]
-Init points from mesh... [28/10 13:52:57] [28/10 13:52:57] [28/10 13:52:57]
-Loading Training Cameras [28/10 13:52:57] [28/10 13:52:57] [28/10 13:52:57]
-Loading Test Cameras [28/10 13:52:57] [28/10 13:52:57] [28/10 13:52:57]
-Sampling 100000 points from mesh [28/10 13:52:57] [28/10 13:52:57] [28/10 13:52:57]
-{
-  "snapshots": [
-    "0",
-    "7000",
-    "10000"
-  ],
-  "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/review"
-} [28/10 13:53:03] [28/10 13:53:03] [28/10 13:53:03]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json
deleted file mode 100644
index 20e3a6d56b97678dba8a924046c807f30c8fcc9a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json
+++ /dev/null
@@ -1,13 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  }
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json
deleted file mode 100644
index a70fd6d3f4a6a78c6558b5c19d60c17bbfc2f039..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 217.59252788200683
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log
deleted file mode 100644
index efb14ff836cc51e45792a1b977009923c971e73b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log
+++ /dev/null
@@ -1,19 +0,0 @@
-Optimizing /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/model
-Output folder: /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/model [28/10 13:47:23]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 13:47:23]
-Init points from pcd... [28/10 13:47:23]
-Init points from mesh... [28/10 13:47:23]
-Loading Training Cameras [28/10 13:47:23]
-Loading Test Cameras [28/10 13:47:23]
-Number of points at initialisation :  67023 [28/10 13:47:23]
-Sampling 100000 points from mesh [28/10 13:47:23]
-
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=0.00488, L1 Loss=0.00101, Depth Loss=0.00428, Normal Loss=0.00000, Seg Loss=0.00316, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:42, 19.11it/s, Loss=0.00488, L1 Loss=0.00101, Depth Loss=0.00428, Normal Loss=0.00000, Seg Loss=0.00316, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:42, 19.11it/s, Loss=0.00345, L1 Loss=0.00062, Depth Loss=0.00279, Normal Loss=0.00000, Seg Loss=0.00198, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:44, 35.02it/s, Loss=0.00345, L1 Loss=0.00062, Depth Loss=0.00279, Normal Loss=0.00000, Seg Loss=0.00198, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:44, 35.02it/s, Loss=0.00256, L1 Loss=0.00044, Depth Loss=0.00161, Normal Loss=0.00000, Seg Loss=0.00128, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:28, 47.73it/s, Loss=0.00256, L1 Loss=0.00044, Depth Loss=0.00161, Normal Loss=0.00000, Seg Loss=0.00128, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:28, 47.73it/s, Loss=0.00225, L1 Loss=0.00039, Depth Loss=0.00150, Normal Loss=0.00000, Seg Loss=0.00117, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:00<02:53, 57.48it/s, Loss=0.00225, L1 Loss=0.00039, Depth Loss=0.00150, Normal Loss=0.00000, Seg Loss=0.00117, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:01<02:53, 57.48it/s, Loss=0.00205, L1 Loss=0.00046, Depth Loss=0.00238, Normal Loss=0.00000, Seg Loss=0.00134, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:33, 64.71it/s, Loss=0.00205, L1 Loss=0.00046, Depth Loss=0.00238, Normal Loss=0.00000, Seg Loss=0.00134, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:33, 64.71it/s, Loss=0.00176, L1 Loss=0.00034, Depth Loss=0.00145, Normal Loss=0.00000, Seg Loss=0.00091, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:22, 69.97it/s, Loss=0.00176, L1 Loss=0.00034, Depth Loss=0.00145, Normal Loss=0.00000, Seg Loss=0.00091, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:22, 69.97it/s, Loss=0.00150, L1 Loss=0.00029, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00072, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:13, 74.21it/s, Loss=0.00150, L1 Loss=0.00029, Depth Loss=0.00118, Normal Loss=0.00000, Seg Loss=0.00072, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:13, 74.21it/s, Loss=0.00137, L1 Loss=0.00027, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00069, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:08, 76.97it/s, Loss=0.00137, L1 Loss=0.00027, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00069, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:08, 76.97it/s, Loss=0.00123, L1 Loss=0.00025, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00064, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:05, 78.71it/s, Loss=0.00123, L1 Loss=0.00025, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00064, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:05, 78.71it/s, Loss=0.00126, L1 Loss=0.00031, Depth Loss=0.00130, Normal Loss=0.00000, Seg Loss=0.00075, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:03, 80.34it/s, Loss=0.00126, L1 Loss=0.00031, Depth Loss=0.00130, Normal Loss=0.00000, Seg Loss=0.00075, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:03, 80.34it/s, Loss=0.00118, L1 Loss=0.00028, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:01, 81.47it/s, Loss=0.00118, L1 Loss=0.00028, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:01, 81.47it/s, Loss=0.00113, L1 Loss=0.00028, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:00, 82.08it/s, Loss=0.00113, L1 Loss=0.00028, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00067, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:00, 82.08it/s, Loss=0.00101, L1 Loss=0.00024, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:01<01:59, 82.63it/s, Loss=0.00101, L1 Loss=0.00024, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<01:59, 82.63it/s, Loss=0.00097, L1 Loss=0.00020, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<01:59, 82.78it/s, Loss=0.00097, L1 Loss=0.00020, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<01:59, 82.78it/s, Loss=0.00096, L1 Loss=0.00024, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<01:58, 83.23it/s, Loss=0.00096, L1 Loss=0.00024, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<01:58, 83.23it/s, Loss=0.00094, L1 Loss=0.00024, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<01:58, 83.23it/s, Loss=0.00094, L1 Loss=0.00024, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<01:58, 83.23it/s, Loss=0.00094, L1 Loss=0.00022, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<01:57, 83.48it/s, Loss=0.00094, L1 Loss=0.00022, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<01:57, 83.48it/s, Loss=0.00095, L1 Loss=0.00023, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<01:58, 83.20it/s, Loss=0.00095, L1 Loss=0.00023, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<01:58, 83.20it/s, Loss=0.00093, L1 Loss=0.00022, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<01:57, 83.36it/s, Loss=0.00093, L1 Loss=0.00022, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<01:57, 83.36it/s, Loss=0.00084, L1 Loss=0.00018, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:02<01:57, 83.10it/s, Loss=0.00084, L1 Loss=0.00018, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:02<01:57, 83.10it/s, Loss=0.00090, L1 Loss=0.00025, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:02<01:57, 83.26it/s, Loss=0.00090, L1 Loss=0.00025, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<01:57, 83.26it/s, Loss=0.00087, L1 Loss=0.00022, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<01:57, 83.40it/s, Loss=0.00087, L1 Loss=0.00022, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<01:57, 83.40it/s, Loss=0.00077, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<01:56, 83.71it/s, Loss=0.00077, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<01:56, 83.71it/s, Loss=0.00077, L1 Loss=0.00018, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<01:56, 83.77it/s, Loss=0.00077, L1 Loss=0.00018, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<01:56, 83.77it/s, Loss=0.00076, L1 Loss=0.00020, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<01:56, 83.56it/s, Loss=0.00076, L1 Loss=0.00020, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<01:56, 83.56it/s, Loss=0.00088, L1 Loss=0.00025, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<01:56, 83.76it/s, Loss=0.00088, L1 Loss=0.00025, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<01:56, 83.76it/s, Loss=0.00076, L1 Loss=0.00021, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<01:56, 83.76it/s, Loss=0.00076, L1 Loss=0.00021, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<01:56, 83.76it/s, Loss=0.00081, L1 Loss=0.00021, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:03<01:56, 83.74it/s, Loss=0.00081, L1 Loss=0.00021, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:03<01:56, 83.74it/s, Loss=0.00072, L1 Loss=0.00019, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:03<01:56, 83.60it/s, Loss=0.00072, L1 Loss=0.00019, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:03<01:56, 83.60it/s, Loss=0.00081, L1 Loss=0.00020, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:03<01:55, 83.84it/s, Loss=0.00081, L1 Loss=0.00020, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<01:55, 83.84it/s, Loss=0.00084, L1 Loss=0.00024, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<01:55, 84.02it/s, Loss=0.00084, L1 Loss=0.00024, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00052, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<01:55, 84.02it/s, Loss=0.00075, L1 Loss=0.00021, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<01:55, 84.02it/s, Loss=0.00075, L1 Loss=0.00021, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<01:55, 84.02it/s, Loss=0.00072, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<01:55, 84.08it/s, Loss=0.00072, L1 Loss=0.00018, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<01:55, 84.08it/s, Loss=0.00074, L1 Loss=0.00019, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<01:55, 83.97it/s, Loss=0.00074, L1 Loss=0.00019, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<01:55, 83.97it/s, Loss=0.00076, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<01:54, 84.29it/s, Loss=0.00076, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<01:54, 84.29it/s, Loss=0.00080, L1 Loss=0.00024, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:04<01:54, 83.88it/s, Loss=0.00080, L1 Loss=0.00024, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:04<01:54, 83.88it/s, Loss=0.00072, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:04<01:54, 84.13it/s, Loss=0.00072, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:04<01:54, 84.13it/s, Loss=0.00068, L1 Loss=0.00016, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:04<01:54, 84.17it/s, Loss=0.00068, L1 Loss=0.00016, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<01:54, 84.17it/s, Loss=0.00080, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<01:54, 84.24it/s, Loss=0.00080, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<01:54, 84.24it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<01:54, 84.15it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<01:54, 84.15it/s, Loss=0.00078, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<01:53, 84.19it/s, Loss=0.00078, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<01:53, 84.19it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<01:53, 84.05it/s, Loss=0.00071, L1 Loss=0.00019, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<01:53, 84.05it/s, Loss=0.00067, L1 Loss=0.00018, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:05<01:53, 84.00it/s, Loss=0.00067, L1 Loss=0.00018, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:05<01:53, 84.00it/s, Loss=0.00071, L1 Loss=0.00016, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:05<01:53, 83.96it/s, Loss=0.00071, L1 Loss=0.00016, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:05<01:53, 83.96it/s, Loss=0.00074, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:05<01:53, 83.99it/s, Loss=0.00074, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:05<01:53, 83.99it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:05<01:53, 84.14it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:06<01:53, 84.14it/s, Loss=0.00065, L1 Loss=0.00017, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<01:53, 83.99it/s, Loss=0.00065, L1 Loss=0.00017, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<01:53, 83.99it/s, Loss=0.00075, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<01:53, 83.98it/s, Loss=0.00075, L1 Loss=0.00022, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<01:53, 83.98it/s, Loss=0.00074, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<01:53, 84.02it/s, Loss=0.00074, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00046, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<01:53, 84.02it/s, Loss=0.00067, L1 Loss=0.00020, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<01:52, 84.12it/s, Loss=0.00067, L1 Loss=0.00020, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<01:52, 84.12it/s, Loss=0.00071, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:06<01:53, 83.95it/s, Loss=0.00071, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:06<01:53, 83.95it/s, Loss=0.00069, L1 Loss=0.00020, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:06<01:53, 83.77it/s, Loss=0.00069, L1 Loss=0.00020, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:06<01:53, 83.77it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:06<01:52, 83.90it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:06<01:52, 83.90it/s, Loss=0.00074, L1 Loss=0.00021, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:06<01:52, 83.99it/s, Loss=0.00074, L1 Loss=0.00021, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:06<01:52, 83.99it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:06<01:52, 84.01it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<01:52, 84.01it/s, Loss=0.00066, L1 Loss=0.00018, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<01:52, 84.17it/s, Loss=0.00066, L1 Loss=0.00018, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<01:52, 84.17it/s, Loss=0.00065, L1 Loss=0.00015, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<01:51, 84.26it/s, Loss=0.00065, L1 Loss=0.00015, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<01:51, 84.26it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<01:51, 84.41it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<01:51, 84.41it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:07<01:51, 84.44it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:07<01:51, 84.44it/s, Loss=0.00069, L1 Loss=0.00021, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:07<01:51, 84.36it/s, Loss=0.00069, L1 Loss=0.00021, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:07<01:51, 84.36it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:07<01:58, 79.18it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:07<01:58, 79.18it/s, Loss=0.00067, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:07<01:56, 80.33it/s, Loss=0.00067, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:07<01:56, 80.33it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:07<01:55, 81.23it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<01:55, 81.23it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<01:53, 82.20it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<01:53, 82.20it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<01:52, 82.86it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<01:52, 82.86it/s, Loss=0.00072, L1 Loss=0.00022, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:08<01:52, 83.24it/s, Loss=0.00072, L1 Loss=0.00022, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00048, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:08<01:52, 83.24it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:08<01:51, 83.61it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:08<01:51, 83.61it/s, Loss=0.00072, L1 Loss=0.00019, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:08<01:51, 83.70it/s, Loss=0.00072, L1 Loss=0.00019, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:08<01:51, 83.70it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:08<01:50, 83.87it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:08<01:50, 83.87it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:08<01:50, 83.94it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:08<01:50, 83.94it/s, Loss=0.00070, L1 Loss=0.00020, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:08<01:54, 81.29it/s, Loss=0.00070, L1 Loss=0.00020, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:09<01:54, 81.29it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<01:52, 82.24it/s, Loss=0.00068, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<01:52, 82.24it/s, Loss=0.00065, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<01:51, 83.08it/s, Loss=0.00065, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<01:51, 83.08it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:09<01:50, 83.57it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:09<01:50, 83.57it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:09<01:50, 83.93it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:09<01:50, 83.93it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:09<01:49, 84.39it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:09<01:49, 84.39it/s, Loss=0.00070, L1 Loss=0.00020, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:09<01:49, 84.61it/s, Loss=0.00070, L1 Loss=0.00020, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:09<01:49, 84.61it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:09<01:49, 84.40it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:09<01:49, 84.40it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:09<01:49, 84.36it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:09<01:49, 84.36it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:09<01:48, 84.47it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:48, 84.47it/s, Loss=0.00062, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<01:52, 81.66it/s, Loss=0.00062, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<01:52, 81.66it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:10<01:51, 82.35it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:10<01:51, 82.35it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:10<01:50, 82.84it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:10<01:50, 82.84it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:10<01:49, 83.42it/s, Loss=0.00070, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:10<01:49, 83.42it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:10<01:49, 83.46it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:10<01:49, 83.46it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:10<01:48, 83.93it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:10<01:48, 83.93it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:10<01:48, 84.07it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:10<01:48, 84.07it/s, Loss=0.00068, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:10<01:48, 83.97it/s, Loss=0.00068, L1 Loss=0.00021, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:11<01:48, 83.97it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:11<01:48, 83.93it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:11<01:48, 83.93it/s, Loss=0.00066, L1 Loss=0.00019, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:11<01:48, 84.10it/s, Loss=0.00066, L1 Loss=0.00019, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:11<01:48, 84.10it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:11<01:51, 81.20it/s, Loss=0.00063, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:11<01:51, 81.20it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:11<01:51, 81.61it/s, Loss=0.00065, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:11<01:51, 81.61it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:11<01:50, 82.20it/s, Loss=0.00064, L1 Loss=0.00017, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:11<01:50, 82.20it/s, Loss=0.00066, L1 Loss=0.00020, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:11<01:49, 82.51it/s, Loss=0.00066, L1 Loss=0.00020, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:11<01:49, 82.51it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:11<01:49, 82.84it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:11<01:49, 82.84it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:11<01:48, 83.33it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:12<01:48, 83.33it/s, Loss=0.00062, L1 Loss=0.00015, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:12<01:48, 83.50it/s, Loss=0.00062, L1 Loss=0.00015, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:12<01:48, 83.50it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:12<01:47, 83.66it/s, Loss=0.00058, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:12<01:47, 83.66it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:12<01:47, 83.78it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:12<01:47, 83.78it/s, Loss=0.00062, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:12<01:47, 83.88it/s, Loss=0.00062, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:12<01:47, 83.88it/s, Loss=0.00056, L1 Loss=0.00016, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:12<01:50, 80.99it/s, Loss=0.00056, L1 Loss=0.00016, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:12<01:50, 80.99it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:12<01:49, 82.08it/s, Loss=0.00061, L1 Loss=0.00015, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:12<01:49, 82.08it/s, Loss=0.00057, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:12<01:48, 82.61it/s, Loss=0.00057, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:12<01:48, 82.61it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:12<01:47, 83.09it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:12<01:47, 83.09it/s, Loss=0.00065, L1 Loss=0.00019, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:12<01:47, 83.46it/s, Loss=0.00065, L1 Loss=0.00019, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:13<01:47, 83.46it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:13<01:47, 83.50it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:13<01:47, 83.50it/s, Loss=0.00064, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:13<01:46, 83.63it/s, Loss=0.00064, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:13<01:46, 83.63it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:13<01:46, 83.90it/s, Loss=0.00061, L1 Loss=0.00014, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:13<01:46, 83.90it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:13<01:46, 83.97it/s, Loss=0.00059, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:13<01:46, 83.97it/s, Loss=0.00060, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:13<01:45, 84.06it/s, Loss=0.00060, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:13<01:45, 84.06it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:13<01:49, 81.31it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:13<01:49, 81.31it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:13<01:47, 82.41it/s, Loss=0.00059, L1 Loss=0.00014, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:13<01:47, 82.41it/s, Loss=0.00059, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:13<01:47, 82.89it/s, Loss=0.00059, L1 Loss=0.00018, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:14<01:47, 82.89it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:14<01:46, 83.33it/s, Loss=0.00062, L1 Loss=0.00019, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:14<01:46, 83.33it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:14<01:45, 83.62it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:14<01:45, 83.62it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:14<01:45, 83.75it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:14<01:45, 83.75it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:14<01:45, 83.82it/s, Loss=0.00055, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:14<01:45, 83.82it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:14<01:44, 84.02it/s, Loss=0.00055, L1 Loss=0.00015, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:14<01:44, 84.02it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:14<01:44, 83.99it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:14<01:44, 83.99it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:14<01:44, 84.17it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:14<01:44, 84.17it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:14<01:47, 81.53it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:15<01:47, 81.53it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:15<01:46, 82.34it/s, Loss=0.00053, L1 Loss=0.00013, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:15<01:46, 82.34it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:15<01:45, 82.93it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:15<01:45, 82.93it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:15<01:45, 83.35it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:15<01:45, 83.35it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:15<01:44, 83.52it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:15<01:44, 83.52it/s, Loss=0.00054, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:15<01:44, 83.92it/s, Loss=0.00054, L1 Loss=0.00016, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:15<01:44, 83.92it/s, Loss=0.00058, L1 Loss=0.00018, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:15<01:43, 83.96it/s, Loss=0.00058, L1 Loss=0.00018, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:15<01:43, 83.96it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:15<01:43, 84.09it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:15<01:43, 84.09it/s, Loss=0.00048, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:15<01:43, 84.21it/s, Loss=0.00048, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:15<01:43, 84.21it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:15<01:43, 84.45it/s, Loss=0.00054, L1 Loss=0.00015, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:16<01:43, 84.45it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:16<01:46, 81.62it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:16<01:46, 81.62it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:16<01:45, 82.27it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:16<01:45, 82.27it/s, Loss=0.00049, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:16<01:44, 82.76it/s, Loss=0.00049, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:16<01:44, 82.76it/s, Loss=0.00059, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:16<01:44, 83.16it/s, Loss=0.00059, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:16<01:44, 83.16it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:16<01:43, 83.59it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:16<01:43, 83.59it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:16<01:43, 83.80it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:16<01:43, 83.80it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:16<01:42, 83.87it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:16<01:42, 83.87it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:16<01:42, 83.82it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:17<01:42, 83.82it/s, Loss=0.00055, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:17<01:42, 83.84it/s, Loss=0.00055, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:17<01:42, 83.84it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:17<01:42, 83.95it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:17<01:42, 83.95it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:17<01:45, 81.11it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:17<01:45, 81.11it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:17<01:44, 82.17it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:17<01:44, 82.17it/s, Loss=0.00058, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:17<01:43, 82.92it/s, Loss=0.00058, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:17<01:43, 82.92it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:17<01:42, 83.49it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:17<01:42, 83.49it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:17<01:42, 83.63it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:17<01:42, 83.63it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:17<01:41, 83.82it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:18<01:41, 83.82it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:18<01:41, 84.18it/s, Loss=0.00061, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:18<01:41, 84.18it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:18<01:41, 84.19it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:18<01:41, 84.19it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:18<01:40, 84.37it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:18<01:40, 84.37it/s, Loss=0.00052, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:18<01:40, 84.33it/s, Loss=0.00052, L1 Loss=0.00015, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:18<01:40, 84.33it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:18<01:44, 81.21it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:18<01:44, 81.21it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:18<01:43, 82.18it/s, Loss=0.00053, L1 Loss=0.00012, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:18<01:43, 82.18it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:18<01:42, 82.68it/s, Loss=0.00050, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:18<01:42, 82.68it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:18<01:41, 83.05it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:18<01:41, 83.05it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:18<01:41, 83.30it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:19<01:41, 83.30it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:19<01:41, 83.49it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:19<01:41, 83.49it/s, Loss=0.00043, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:19<01:40, 83.48it/s, Loss=0.00043, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:19<01:40, 83.48it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:19<01:40, 83.75it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:19<01:40, 83.75it/s, Loss=0.00042, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:19<01:40, 83.61it/s, Loss=0.00042, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:19<01:40, 83.61it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:19<01:40, 83.79it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:19<01:40, 83.79it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:19<01:43, 81.09it/s, Loss=0.00049, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:19<01:43, 81.09it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:19<01:42, 81.99it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:19<01:42, 81.99it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:19<01:41, 82.39it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:20<01:41, 82.39it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:20<01:40, 83.06it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:20<01:40, 83.06it/s, Loss=0.00052, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:20<01:40, 83.36it/s, Loss=0.00052, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:20<01:40, 83.36it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:20<01:39, 83.48it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:20<01:39, 83.48it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:20<01:39, 83.51it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:20<01:39, 83.51it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:20<01:39, 83.37it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:20<01:39, 83.37it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:20<01:39, 83.59it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:20<01:39, 83.59it/s, Loss=0.00051, 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 [00:20<01:39, 83.51it/s, Loss=0.00051, 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 [00:20<01:39, 83.51it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:20<01:43, 80.33it/s, Loss=0.00048, L1 Loss=0.00011, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:21<01:43, 80.33it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:21<01:41, 81.58it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:21<01:41, 81.58it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:21<01:40, 82.45it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:21<01:40, 82.45it/s, Loss=0.00054, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:21<01:39, 82.83it/s, Loss=0.00054, L1 Loss=0.00016, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:21<01:39, 82.83it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:21<01:39, 83.17it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:21<01:39, 83.17it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:21<01:38, 83.34it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:21<01:38, 83.34it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:21<01:38, 83.47it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:21<01:38, 83.47it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:21<01:38, 83.71it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:21<01:38, 83.71it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:21<01:38, 83.30it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:21<01:38, 83.30it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:21<01:38, 83.46it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:22<01:38, 83.46it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:22<01:41, 80.86it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:22<01:41, 80.86it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:22<01:40, 81.60it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:22<01:40, 81.60it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:22<01:39, 82.34it/s, Loss=0.00053, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:22<01:39, 82.34it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:22<01:38, 82.87it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:22<01:38, 82.87it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:22<01:38, 83.14it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:22<01:38, 83.14it/s, Loss=0.00057, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:22<01:37, 83.43it/s, Loss=0.00057, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:22<01:37, 83.43it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:22<01:37, 83.58it/s, Loss=0.00046, L1 Loss=0.00014, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:22<01:37, 83.58it/s, Loss=0.00050, L1 Loss=0.00011, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:22<01:36, 83.81it/s, Loss=0.00050, L1 Loss=0.00011, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:23<01:36, 83.81it/s, Loss=0.00048, L1 Loss=0.00013, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:23<01:36, 83.80it/s, Loss=0.00048, L1 Loss=0.00013, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:23<01:36, 83.80it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:23<01:36, 84.04it/s, Loss=0.00049, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:23<01:36, 84.04it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:23<01:39, 81.23it/s, Loss=0.00047, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:23<01:39, 81.23it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:23<01:38, 81.76it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:23<01:38, 81.76it/s, Loss=0.00055, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:23<01:37, 82.60it/s, Loss=0.00055, L1 Loss=0.00016, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:23<01:37, 82.60it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:23<01:37, 83.06it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:23<01:37, 83.06it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:23<01:36, 83.47it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:23<01:36, 83.47it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:23<01:36, 83.50it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:24<01:36, 83.50it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:24<01:36, 83.59it/s, Loss=0.00044, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:24<01:36, 83.59it/s, Loss=0.00053, L1 Loss=0.00017, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:24<01:35, 83.88it/s, Loss=0.00053, L1 Loss=0.00017, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:24<01:35, 83.88it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:24<01:35, 83.99it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:24<01:35, 83.99it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:24<01:35, 84.02it/s, Loss=0.00050, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:24<01:35, 84.02it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:24<01:38, 81.29it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:24<01:38, 81.29it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:24<01:37, 82.02it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:24<01:37, 82.02it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:24<01:36, 82.77it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:24<01:36, 82.77it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:24<01:36, 82.80it/s, Loss=0.00046, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:25<01:36, 82.80it/s, Loss=0.00047, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:25<01:35, 83.02it/s, Loss=0.00047, L1 Loss=0.00010, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:25<01:35, 83.02it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:25<01:35, 83.35it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:25<01:35, 83.35it/s, Loss=0.00053, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:25<01:34, 83.60it/s, Loss=0.00053, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:25<01:34, 83.60it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:25<01:34, 83.49it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:25<01:34, 83.49it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:25<01:34, 83.61it/s, Loss=0.00047, L1 Loss=0.00014, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:25<01:34, 83.61it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:25<01:34, 83.72it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:25<01:34, 83.72it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:25<01:37, 80.93it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:25<01:37, 80.93it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:25<01:36, 81.70it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:25<01:36, 81.70it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:25<01:35, 82.46it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:26<01:35, 82.46it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:26<01:35, 82.67it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:26<01:35, 82.67it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:26<01:34, 82.92it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:26<01:34, 82.92it/s, Loss=0.00045, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:26<01:34, 83.38it/s, Loss=0.00045, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:26<01:34, 83.38it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:26<01:33, 83.78it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:26<01:33, 83.78it/s, Loss=0.00038, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:26<01:33, 83.72it/s, Loss=0.00038, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:26<01:33, 83.72it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:26<01:33, 83.77it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:26<01:33, 83.77it/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:  22%|██▏       | 2200/10000 [00:26<01:32, 84.06it/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:  22%|██▏       | 2200/10000 [00:26<01:32, 84.06it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:26<01:35, 81.20it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:27<01:35, 81.20it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:27<01:35, 81.60it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:27<01:35, 81.60it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:27<01:34, 82.09it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:27<01:34, 82.09it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:27<01:33, 82.80it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:27<01:33, 82.80it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:27<01:32, 83.35it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:27<01:32, 83.35it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:27<01:32, 83.24it/s, Loss=0.00039, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:27<01:32, 83.24it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:27<01:32, 83.34it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:27<01:32, 83.34it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:27<01:32, 83.62it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:27<01:32, 83.62it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:27<01:32, 83.77it/s, Loss=0.00040, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:28<01:32, 83.77it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:28<01:31, 84.04it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:28<01:31, 84.04it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:28<01:34, 81.31it/s, Loss=0.00043, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:28<01:34, 81.31it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:28<01:33, 82.26it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:28<01:33, 82.26it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:28<01:32, 83.07it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:28<01:32, 83.07it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:28<01:31, 83.34it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:28<01:31, 83.34it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:28<01:31, 83.40it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:28<01:31, 83.40it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:28<01:31, 83.88it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:28<01:31, 83.88it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:28<01:30, 84.09it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:28<01:30, 84.09it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:28<01:30, 83.98it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:29<01:30, 83.98it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:29<01:30, 84.14it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:29<01:30, 84.14it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:29<01:30, 84.12it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2400/10000 [00:29<01:30, 84.12it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:29<01:33, 80.99it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:29<01:33, 80.99it/s, Loss=0.00042, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:29<01:32, 81.87it/s, Loss=0.00042, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:29<01:32, 81.87it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:29<01:32, 82.23it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:29<01:32, 82.23it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:29<01:31, 82.75it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2440/10000 [00:29<01:31, 82.75it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:29<01:31, 82.88it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:29<01:31, 82.88it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:29<01:30, 83.32it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:30<01:30, 83.32it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:30<01:30, 83.50it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:30<01:30, 83.50it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:30<01:29, 83.57it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:30<01:29, 83.57it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:30<01:30, 83.36it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:30<01:30, 83.36it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:30<01:29, 83.70it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:30<01:29, 83.70it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:30<01:32, 80.88it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:30<01:32, 80.88it/s, Loss=0.00039, L1 Loss=0.00010, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:30<01:31, 81.81it/s, Loss=0.00039, L1 Loss=0.00010, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:30<01:31, 81.81it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:30<01:30, 82.39it/s, Loss=0.00036, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:30<01:30, 82.39it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:30<01:29, 82.96it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:31<01:29, 82.96it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:31<01:29, 83.20it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:31<01:29, 83.20it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:31<01:29, 83.56it/s, Loss=0.00034, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:31<01:29, 83.56it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:31<01:28, 83.76it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:31<01:28, 83.76it/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:  26%|██▌       | 2580/10000 [00:31<01:28, 83.70it/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:  26%|██▌       | 2580/10000 [00:31<01:28, 83.70it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:31<01:28, 83.78it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:31<01:28, 83.78it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:31<01:28, 83.96it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:31<01:28, 83.96it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:31<01:31, 81.08it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:31<01:31, 81.08it/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:  26%|██▌       | 2620/10000 [00:31<01:30, 81.97it/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:  26%|██▌       | 2620/10000 [00:32<01:30, 81.97it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:32<01:29, 82.34it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:32<01:29, 82.34it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:32<01:28, 82.94it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:32<01:28, 82.94it/s, Loss=0.00042, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:32<01:28, 83.16it/s, Loss=0.00042, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:32<01:28, 83.16it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:32<01:28, 83.24it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:32<01:28, 83.24it/s, Loss=0.00037, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:32<01:27, 83.43it/s, Loss=0.00037, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:32<01:27, 83.43it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:32<01:27, 83.67it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:32<01:27, 83.67it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:32<01:27, 83.88it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:32<01:27, 83.88it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:32<01:27, 83.65it/s, Loss=0.00035, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:32<01:27, 83.65it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:32<01:29, 81.02it/s, Loss=0.00041, L1 Loss=0.00012, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:33<01:29, 81.02it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:33<01:29, 81.66it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:33<01:29, 81.66it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:33<01:28, 82.38it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:33<01:28, 82.38it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:33<01:27, 83.06it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:33<01:27, 83.06it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:33<01:27, 83.33it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:33<01:27, 83.33it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:33<01:27, 83.17it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:33<01:27, 83.17it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:33<01:26, 83.33it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:33<01:26, 83.33it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:33<01:26, 83.62it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:33<01:26, 83.62it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:33<01:26, 83.66it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:34<01:26, 83.66it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:34<01:25, 83.84it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:34<01:25, 83.84it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:34<01:28, 80.93it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:34<01:28, 80.93it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:34<01:27, 82.16it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:34<01:27, 82.16it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:34<01:26, 82.84it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:34<01:26, 82.84it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:34<01:25, 83.30it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2840/10000 [00:34<01:25, 83.30it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:34<01:25, 83.67it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:34<01:25, 83.67it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:34<01:25, 83.62it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:34<01:25, 83.62it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:34<01:25, 83.84it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:35<01:25, 83.84it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:35<01:24, 83.88it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:35<01:24, 83.88it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:35<01:24, 84.14it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:35<01:24, 84.14it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:35<01:24, 84.07it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:35<01:24, 84.07it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:35<01:27, 81.15it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:35<01:27, 81.15it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:35<01:26, 81.76it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:35<01:26, 81.76it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:35<01:26, 82.12it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:35<01:26, 82.12it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:35<01:25, 82.91it/s, Loss=0.00037, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:35<01:25, 82.91it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:35<01:24, 83.34it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:35<01:24, 83.34it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:35<01:24, 83.27it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2960/10000 [00:36<01:24, 83.27it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:36<01:24, 83.47it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:36<01:24, 83.47it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:36<01:23, 83.60it/s, Loss=0.00038, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:36<01:23, 83.60it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:36<01:23, 83.76it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:36<01:23, 83.76it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:36<01:23, 83.83it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:36<01:23, 83.83it/s, Loss=0.00348, L1 Loss=0.00046, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00133, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:36<01:26, 80.62it/s, Loss=0.00348, L1 Loss=0.00046, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00133, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:36<01:26, 80.62it/s, Loss=0.00144, L1 Loss=0.00020, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:36<01:25, 81.70it/s, Loss=0.00144, L1 Loss=0.00020, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00051, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:36<01:25, 81.70it/s, Loss=0.00080, L1 Loss=0.00021, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:36<01:24, 82.15it/s, Loss=0.00080, L1 Loss=0.00021, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:36<01:24, 82.15it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:36<01:24, 82.43it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:37<01:24, 82.43it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:37<01:24, 82.47it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:37<01:24, 82.47it/s, Loss=0.00039, L1 Loss=0.00010, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:37<01:23, 82.71it/s, Loss=0.00039, L1 Loss=0.00010, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:37<01:23, 82.71it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:37<01:23, 82.74it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:37<01:23, 82.74it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:37<01:23, 82.97it/s, Loss=0.00039, L1 Loss=0.00011, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:37<01:23, 82.97it/s, Loss=0.00037, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:37<01:23, 83.12it/s, Loss=0.00037, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3090/10000 [00:37<01:23, 83.12it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:37<01:22, 83.17it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:37<01:22, 83.17it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:37<01:25, 80.32it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:37<01:25, 80.32it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:37<01:24, 81.07it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:38<01:24, 81.07it/s, Loss=0.00033, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:38<01:24, 81.67it/s, Loss=0.00033, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3130/10000 [00:38<01:24, 81.67it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:38<01:23, 82.25it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  31%|███▏      | 3140/10000 [00:38<01:23, 82.25it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:38<01:22, 82.62it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3150/10000 [00:38<01:22, 82.62it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:38<01:22, 82.91it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:38<01:22, 82.91it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:38<01:22, 82.90it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3170/10000 [00:38<01:22, 82.90it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:38<01:22, 83.16it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:38<01:22, 83.16it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:38<01:21, 83.29it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:38<01:21, 83.29it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:38<01:21, 83.38it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:39<01:21, 83.38it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:39<01:24, 80.52it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:39<01:24, 80.52it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:39<01:23, 81.37it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:39<01:23, 81.37it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:39<01:22, 82.07it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:39<01:22, 82.07it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:39<01:21, 82.48it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:39<01:21, 82.48it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:39<01:21, 82.95it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:39<01:21, 82.95it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:39<01:21, 83.15it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:39<01:21, 83.15it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:39<01:20, 83.23it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:39<01:20, 83.23it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:39<01:20, 83.21it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:39<01:20, 83.21it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:39<01:20, 83.22it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:40<01:20, 83.22it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:40<01:20, 83.58it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:40<01:20, 83.58it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:40<01:22, 80.70it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3310/10000 [00:40<01:22, 80.70it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:40<01:21, 81.69it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:40<01:21, 81.69it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:40<01:20, 82.40it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:40<01:20, 82.40it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:40<01:20, 82.86it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:40<01:20, 82.86it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:40<01:19, 83.23it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:40<01:19, 83.23it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:40<01:19, 83.25it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:40<01:19, 83.25it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:40<01:19, 83.29it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:41<01:19, 83.29it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:41<01:19, 83.57it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:41<01:19, 83.57it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:41<01:19, 83.54it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:41<01:19, 83.54it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:41<01:19, 83.54it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:41<01:19, 83.54it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:41<01:21, 80.69it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:41<01:21, 80.69it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:41<01:20, 81.72it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3420/10000 [00:41<01:20, 81.72it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:41<01:19, 82.25it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3430/10000 [00:41<01:19, 82.25it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:41<01:19, 82.76it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:41<01:19, 82.76it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:41<01:18, 82.97it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3450/10000 [00:42<01:18, 82.97it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:42<01:18, 82.95it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:42<01:18, 82.95it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:42<01:18, 83.17it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:42<01:18, 83.17it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:42<01:18, 83.22it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:42<01:18, 83.22it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:42<01:18, 83.45it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:42<01:18, 83.45it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:42<01:18, 83.32it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:42<01:18, 83.32it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:42<01:20, 80.77it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:42<01:20, 80.77it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:42<01:19, 81.93it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3520/10000 [00:42<01:19, 81.93it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:42<01:18, 82.76it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:42<01:18, 82.76it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:42<01:17, 83.04it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:43<01:17, 83.04it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:43<01:17, 83.18it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:43<01:17, 83.18it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:43<01:17, 83.58it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:43<01:17, 83.58it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:43<01:16, 83.76it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3570/10000 [00:43<01:16, 83.76it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:43<01:16, 83.65it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:43<01:16, 83.65it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:43<01:16, 83.76it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3590/10000 [00:43<01:16, 83.76it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:43<01:16, 83.72it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:43<01:16, 83.72it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:43<01:18, 81.10it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:43<01:18, 81.10it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:43<01:18, 81.75it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:44<01:18, 81.75it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:44<01:17, 82.22it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:44<01:17, 82.22it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:44<01:16, 82.85it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:44<01:16, 82.85it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:44<01:16, 83.27it/s, Loss=0.00034, L1 Loss=0.00010, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:44<01:16, 83.27it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:44<01:15, 83.47it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:44<01:15, 83.47it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:44<01:15, 83.72it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:44<01:15, 83.72it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:44<01:15, 83.94it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:44<01:15, 83.94it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:44<01:15, 84.00it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:44<01:15, 84.00it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:44<01:15, 83.96it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:45<01:15, 83.96it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:45<01:17, 81.26it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:45<01:17, 81.26it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:45<01:16, 82.15it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:45<01:16, 82.15it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:45<01:15, 82.67it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:45<01:15, 82.67it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:45<01:15, 83.28it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:45<01:15, 83.28it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:45<01:14, 83.70it/s, Loss=0.00034, L1 Loss=0.00009, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:45<01:14, 83.70it/s, Loss=0.00036, L1 Loss=0.00010, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:45<01:14, 83.89it/s, Loss=0.00036, L1 Loss=0.00010, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:45<01:14, 83.89it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:45<01:14, 83.87it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3770/10000 [00:45<01:14, 83.87it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:45<01:13, 84.07it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:46<01:13, 84.07it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:46<01:14, 83.89it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:46<01:14, 83.89it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:46<01:13, 83.93it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:46<01:13, 83.93it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:46<01:16, 81.20it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:46<01:16, 81.20it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:46<01:15, 81.98it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:46<01:15, 81.98it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:46<01:14, 82.65it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3830/10000 [00:46<01:14, 82.65it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:46<01:14, 83.10it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:46<01:14, 83.10it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:46<01:13, 83.50it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3850/10000 [00:46<01:13, 83.50it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:46<01:13, 83.54it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:46<01:13, 83.54it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:46<01:13, 83.81it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:47<01:13, 83.81it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:47<01:12, 83.91it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3880/10000 [00:47<01:12, 83.91it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:47<01:12, 84.15it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3890/10000 [00:47<01:12, 84.15it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:47<01:12, 84.12it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:47<01:12, 84.12it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:47<01:15, 81.18it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3910/10000 [00:47<01:15, 81.18it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:47<01:13, 82.28it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:47<01:13, 82.28it/s, Loss=0.00031, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:47<01:13, 82.84it/s, Loss=0.00031, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3930/10000 [00:47<01:13, 82.84it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:47<01:12, 83.33it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:47<01:12, 83.33it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:47<01:12, 83.83it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:48<01:12, 83.83it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:48<01:12, 83.80it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:48<01:12, 83.80it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:48<01:11, 83.96it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:48<01:11, 83.96it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:48<01:11, 84.19it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:48<01:11, 84.19it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:48<01:11, 84.32it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:48<01:11, 84.32it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:48<01:11, 84.38it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:48<01:11, 84.38it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:48<01:13, 81.34it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:48<01:13, 81.34it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:48<01:12, 82.40it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:48<01:12, 82.40it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:48<01:11, 82.95it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:49<01:11, 82.95it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:49<01:11, 83.40it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:49<01:11, 83.40it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:49<01:11, 83.74it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:49<01:11, 83.74it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:49<01:10, 83.98it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:49<01:10, 83.98it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:49<01:10, 84.10it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:49<01:10, 84.10it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:49<01:10, 84.11it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:49<01:10, 84.11it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:49<01:10, 84.31it/s, Loss=0.00031, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:49<01:10, 84.31it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:49<01:09, 84.31it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4100/10000 [00:49<01:09, 84.31it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:49<01:12, 81.14it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:49<01:12, 81.14it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:49<01:11, 82.14it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:50<01:11, 82.14it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:50<01:10, 82.83it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:50<01:10, 82.83it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:50<01:10, 83.34it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:50<01:10, 83.34it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:50<01:09, 83.77it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4150/10000 [00:50<01:09, 83.77it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:50<01:09, 83.82it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4160/10000 [00:50<01:09, 83.82it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:50<01:09, 83.79it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:50<01:09, 83.79it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:50<01:09, 83.96it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:50<01:09, 83.96it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:50<01:09, 84.18it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4190/10000 [00:50<01:09, 84.18it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:50<01:08, 84.25it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:51<01:08, 84.25it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:51<01:11, 81.24it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:51<01:11, 81.24it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:51<01:10, 81.93it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:51<01:10, 81.93it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:51<01:09, 82.59it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:51<01:09, 82.59it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:51<01:09, 83.08it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4240/10000 [00:51<01:09, 83.08it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:51<01:08, 83.46it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:51<01:08, 83.46it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:51<01:08, 83.62it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:51<01:08, 83.62it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:51<01:08, 83.82it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:51<01:08, 83.82it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:51<01:08, 83.97it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:52<01:08, 83.97it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:52<01:08, 83.87it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:52<01:08, 83.87it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:52<01:07, 83.86it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:52<01:07, 83.86it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:52<01:10, 81.17it/s, Loss=0.00030, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:52<01:10, 81.17it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:52<01:09, 81.77it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:52<01:09, 81.77it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:52<01:08, 82.61it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:52<01:08, 82.61it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:52<01:08, 83.02it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:52<01:08, 83.02it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:52<01:07, 83.41it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:52<01:07, 83.41it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:52<01:07, 83.51it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:52<01:07, 83.51it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:52<01:07, 83.72it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:53<01:07, 83.72it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:53<01:07, 83.82it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:53<01:07, 83.82it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:53<01:06, 83.95it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:53<01:06, 83.95it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:53<01:06, 84.17it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:53<01:06, 84.17it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:53<01:08, 81.26it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:53<01:08, 81.26it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:53<01:07, 82.14it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:53<01:07, 82.14it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:53<01:07, 82.79it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:53<01:07, 82.79it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:53<01:06, 83.20it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:53<01:06, 83.20it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:53<01:06, 83.41it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:54<01:06, 83.41it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:54<01:06, 83.65it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:54<01:06, 83.65it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:54<01:05, 83.83it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4470/10000 [00:54<01:05, 83.83it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:54<01:05, 83.70it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:54<01:05, 83.70it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:54<01:05, 84.08it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:54<01:05, 84.08it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:54<01:05, 84.01it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:54<01:05, 84.01it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:54<01:07, 81.43it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:54<01:07, 81.43it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:54<01:06, 82.10it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:54<01:06, 82.10it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:54<01:06, 82.74it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:55<01:06, 82.74it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:55<01:05, 83.24it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:55<01:05, 83.24it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:55<01:05, 83.82it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:55<01:05, 83.82it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:55<01:04, 83.82it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4560/10000 [00:55<01:04, 83.82it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:55<01:04, 83.92it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:55<01:04, 83.92it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [00:55<01:04, 84.02it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4580/10000 [00:55<01:04, 84.02it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:55<01:04, 83.98it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:55<01:04, 83.98it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [00:55<01:04, 84.14it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4600/10000 [00:55<01:04, 84.14it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [00:55<01:06, 81.44it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [00:55<01:06, 81.44it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [00:55<01:05, 82.21it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [00:56<01:05, 82.21it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [00:56<01:04, 82.66it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [00:56<01:04, 82.66it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [00:56<01:04, 83.13it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [00:56<01:04, 83.13it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [00:56<01:04, 83.48it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [00:56<01:04, 83.48it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [00:56<01:03, 83.63it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4660/10000 [00:56<01:03, 83.63it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [00:56<01:03, 83.89it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [00:56<01:03, 83.89it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [00:56<01:03, 84.02it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [00:56<01:03, 84.02it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [00:56<01:03, 84.23it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [00:56<01:03, 84.23it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [00:56<01:02, 84.38it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4700/10000 [00:57<01:02, 84.38it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [00:57<01:04, 81.41it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [00:57<01:04, 81.41it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [00:57<01:03, 82.50it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [00:57<01:03, 82.50it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [00:57<01:03, 83.36it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [00:57<01:03, 83.36it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [00:57<01:02, 83.61it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4740/10000 [00:57<01:02, 83.61it/s, Loss=0.00028, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [00:57<01:02, 83.87it/s, Loss=0.00028, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [00:57<01:02, 83.87it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [00:57<01:02, 84.08it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [00:57<01:02, 84.08it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [00:57<01:01, 84.36it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [00:57<01:01, 84.36it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [00:57<01:01, 84.43it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [00:58<01:01, 84.43it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [00:58<01:01, 84.73it/s, Loss=0.00029, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [00:58<01:01, 84.73it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [00:58<01:01, 84.60it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [00:58<01:01, 84.60it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [00:58<01:03, 81.55it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [00:58<01:03, 81.55it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [00:58<01:02, 82.41it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [00:58<01:02, 82.41it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [00:58<01:02, 82.93it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [00:58<01:02, 82.93it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [00:58<01:02, 83.01it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [00:58<01:02, 83.01it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [00:58<01:01, 83.37it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [00:58<01:01, 83.37it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [00:58<01:01, 83.63it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [00:58<01:01, 83.63it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [00:58<01:01, 83.95it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [00:59<01:01, 83.95it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [00:59<01:01, 83.79it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [00:59<01:01, 83.79it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [00:59<01:00, 84.12it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [00:59<01:00, 84.12it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [00:59<01:00, 84.27it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [00:59<01:00, 84.27it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [00:59<01:02, 81.56it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [00:59<01:02, 81.56it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [00:59<01:01, 82.48it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4920/10000 [00:59<01:01, 82.48it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [00:59<01:00, 83.31it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [00:59<01:00, 83.31it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [00:59<01:00, 83.55it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [00:59<01:00, 83.55it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [00:59<01:00, 83.79it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [01:00<01:00, 83.79it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:00<00:59, 84.20it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [01:00<00:59, 84.20it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:00<00:59, 84.23it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4970/10000 [01:00<00:59, 84.23it/s, Loss=0.00030, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:00<00:59, 83.96it/s, Loss=0.00030, L1 Loss=0.00009, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [01:00<00:59, 83.96it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:00<00:59, 84.21it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:00<00:59, 84.21it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:00<00:59, 84.27it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:00<00:59, 84.27it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:00<01:01, 81.52it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:00<01:01, 81.52it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:00<01:00, 82.34it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:00<01:00, 82.34it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:00<00:59, 82.90it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:01<00:59, 82.90it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:01<00:59, 83.28it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5040/10000 [01:01<00:59, 83.28it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:01<00:59, 83.55it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:01<00:59, 83.55it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:01<00:58, 83.98it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:01<00:58, 83.98it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:01<00:58, 84.05it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:01<00:58, 84.05it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:01<00:58, 84.26it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:01<00:58, 84.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:01<00:58, 83.88it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:01<00:58, 83.88it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:01<00:58, 83.73it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:01<00:58, 83.73it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:01<01:00, 80.84it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:01<01:00, 80.84it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:01<00:59, 82.02it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5120/10000 [01:02<00:59, 82.02it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:02<00:58, 82.55it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:02<00:58, 82.55it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:02<00:58, 83.25it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:02<00:58, 83.25it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:02<00:57, 83.87it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:02<00:57, 83.87it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:02<00:57, 84.13it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:02<00:57, 84.13it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:02<00:57, 84.43it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:02<00:57, 84.43it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:02<00:57, 84.31it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5180/10000 [01:02<00:57, 84.31it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:02<00:56, 84.66it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:02<00:56, 84.66it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:02<00:56, 84.86it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:03<00:56, 84.86it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:03<00:58, 81.93it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:03<00:58, 81.93it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:03<00:57, 82.80it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:03<00:57, 82.80it/s, Loss=0.00028, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:03<00:57, 83.48it/s, Loss=0.00028, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:03<00:57, 83.48it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:03<00:56, 83.97it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:03<00:56, 83.97it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:03<00:56, 84.43it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:03<00:56, 84.43it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:03<00:55, 84.72it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:03<00:55, 84.72it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:03<00:55, 84.93it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:03<00:55, 84.93it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:03<00:55, 84.92it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:03<00:55, 84.92it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:03<00:55, 84.94it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:04<00:55, 84.94it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:04<00:55, 84.92it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:04<00:55, 84.92it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:04<00:57, 81.74it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5310/10000 [01:04<00:57, 81.74it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:04<00:56, 82.73it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5320/10000 [01:04<00:56, 82.73it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:04<00:55, 83.40it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:04<00:55, 83.40it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:04<00:55, 83.71it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:04<00:55, 83.71it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:04<00:55, 83.97it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:04<00:55, 83.97it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:04<00:55, 84.31it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:04<00:55, 84.31it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:04<00:54, 84.32it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5370/10000 [01:05<00:54, 84.32it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:05<00:54, 84.38it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:05<00:54, 84.38it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:05<00:54, 84.55it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:05<00:54, 84.55it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:05<00:54, 84.44it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:05<00:54, 84.44it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:05<00:56, 81.69it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:05<00:56, 81.69it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:05<00:55, 82.65it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:05<00:55, 82.65it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:05<00:54, 83.25it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5430/10000 [01:05<00:54, 83.25it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:05<00:54, 83.71it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:05<00:54, 83.71it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:05<00:54, 84.12it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5450/10000 [01:06<00:54, 84.12it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:06<00:53, 84.22it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:06<00:53, 84.22it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:06<00:53, 84.41it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:06<00:53, 84.41it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:06<00:53, 84.30it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:06<00:53, 84.30it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:06<00:53, 84.36it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:06<00:53, 84.36it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:06<00:53, 84.47it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:06<00:53, 84.47it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:06<00:55, 81.61it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:06<00:55, 81.61it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:06<00:54, 82.54it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:06<00:54, 82.54it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:06<00:53, 83.23it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:06<00:53, 83.23it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:06<00:53, 83.90it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:07<00:53, 83.90it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:07<00:52, 84.41it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:07<00:52, 84.41it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:07<00:52, 84.61it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:07<00:52, 84.61it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:07<00:52, 84.76it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5570/10000 [01:07<00:52, 84.76it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:07<00:52, 84.98it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:07<00:52, 84.98it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:07<00:51, 84.94it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5590/10000 [01:07<00:51, 84.94it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:07<00:51, 84.86it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:07<00:51, 84.86it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:07<00:53, 81.96it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:07<00:53, 81.96it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:07<00:52, 82.77it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:08<00:52, 82.77it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:08<00:52, 83.32it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:08<00:52, 83.32it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:08<00:51, 84.04it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:08<00:51, 84.04it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:08<00:51, 84.39it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:08<00:51, 84.39it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:08<00:51, 84.75it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5660/10000 [01:08<00:51, 84.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:08<00:51, 84.79it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:08<00:51, 84.79it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:08<00:50, 85.01it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:08<00:50, 85.01it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:08<00:50, 85.13it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:08<00:50, 85.13it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:08<00:50, 85.17it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5700/10000 [01:09<00:50, 85.17it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:09<00:52, 82.11it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:09<00:52, 82.11it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:09<00:51, 82.98it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:09<00:51, 82.98it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:09<00:51, 83.46it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:09<00:51, 83.46it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:09<00:50, 83.80it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:09<00:50, 83.80it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:09<00:50, 84.10it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:09<00:50, 84.10it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:09<00:50, 84.34it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:09<00:50, 84.34it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:09<00:50, 84.42it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:09<00:50, 84.42it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:09<00:49, 84.68it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:09<00:49, 84.68it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:09<00:49, 84.77it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:10<00:49, 84.77it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:10<00:49, 84.77it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:10<00:49, 84.77it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:10<00:51, 81.92it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:10<00:51, 81.92it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:10<00:50, 82.57it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:10<00:50, 82.57it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:10<00:50, 83.29it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:10<00:50, 83.29it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:10<00:49, 83.68it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:10<00:49, 83.68it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:10<00:49, 84.10it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:10<00:49, 84.10it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:10<00:49, 84.39it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:10<00:49, 84.39it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:10<00:48, 84.53it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:11<00:48, 84.53it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:11<00:48, 84.65it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:11<00:48, 84.65it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:11<00:48, 84.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:11<00:48, 84.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:11<00:48, 84.63it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:11<00:48, 84.63it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:11<00:50, 81.69it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:11<00:50, 81.69it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:11<00:49, 82.76it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:11<00:49, 82.76it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:11<00:48, 83.42it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5930/10000 [01:11<00:48, 83.42it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:11<00:48, 84.15it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:11<00:48, 84.15it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:11<00:47, 84.46it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:11<00:47, 84.46it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:11<00:47, 84.41it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:12<00:47, 84.41it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:12<00:47, 84.47it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:12<00:47, 84.47it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:12<00:47, 84.64it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:12<00:47, 84.64it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:12<00:47, 84.46it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:12<00:47, 84.46it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:12<00:47, 84.73it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:12<00:47, 84.73it/s, Loss=0.00335, L1 Loss=0.00042, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00126, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:12<00:48, 81.92it/s, Loss=0.00335, L1 Loss=0.00042, Depth Loss=0.00024, Normal Loss=0.00000, Seg Loss=0.00126, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:12<00:48, 81.92it/s, Loss=0.00157, L1 Loss=0.00033, Depth Loss=0.00218, Normal Loss=0.00000, Seg Loss=0.00105, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:12<00:48, 82.60it/s, Loss=0.00157, L1 Loss=0.00033, Depth Loss=0.00218, Normal Loss=0.00000, Seg Loss=0.00105, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:12<00:48, 82.60it/s, Loss=0.00056, L1 Loss=0.00010, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:12<00:48, 82.70it/s, Loss=0.00056, L1 Loss=0.00010, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:12<00:48, 82.70it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:12<00:47, 83.00it/s, Loss=0.00040, L1 Loss=0.00011, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:13<00:47, 83.00it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:13<00:47, 83.08it/s, Loss=0.00032, L1 Loss=0.00006, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:13<00:47, 83.08it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:13<00:47, 83.31it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:13<00:47, 83.31it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:13<00:47, 83.34it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:13<00:47, 83.34it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:13<00:46, 83.62it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:13<00:46, 83.62it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:13<00:46, 83.52it/s, Loss=0.00028, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:13<00:46, 83.52it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:13<00:46, 83.48it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6100/10000 [01:13<00:46, 83.48it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:13<00:48, 80.64it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:13<00:48, 80.64it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:13<00:47, 81.63it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:14<00:47, 81.63it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:14<00:47, 82.20it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:14<00:47, 82.20it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:14<00:46, 82.72it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:14<00:46, 82.72it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:14<00:46, 83.15it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:14<00:46, 83.15it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:14<00:46, 83.22it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:14<00:46, 83.22it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:14<00:45, 83.31it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6170/10000 [01:14<00:45, 83.31it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:14<00:45, 83.44it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:14<00:45, 83.44it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:14<00:45, 83.66it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6190/10000 [01:14<00:45, 83.66it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:14<00:45, 83.65it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:14<00:45, 83.65it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:14<00:46, 80.74it/s, Loss=0.00027, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:15<00:46, 80.74it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:15<00:46, 81.64it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:15<00:46, 81.64it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:15<00:45, 82.31it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:15<00:45, 82.31it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:15<00:45, 82.82it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:15<00:45, 82.82it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:15<00:45, 83.19it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:15<00:45, 83.19it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:15<00:44, 83.44it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:15<00:44, 83.44it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:15<00:44, 83.65it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:15<00:44, 83.65it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:15<00:44, 83.63it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:15<00:44, 83.63it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:15<00:44, 83.61it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:16<00:44, 83.61it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:16<00:44, 83.55it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:16<00:44, 83.55it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:16<00:45, 80.60it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:16<00:45, 80.60it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:16<00:45, 81.34it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:16<00:45, 81.34it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:16<00:44, 81.78it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:16<00:44, 81.78it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:16<00:44, 82.43it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:16<00:44, 82.43it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:16<00:43, 83.03it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:16<00:43, 83.03it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:16<00:43, 83.10it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:16<00:43, 83.10it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:16<00:43, 83.06it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:17<00:43, 83.06it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:17<00:43, 83.37it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:17<00:43, 83.37it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:17<00:43, 83.51it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:17<00:43, 83.51it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:17<00:43, 83.44it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:17<00:43, 83.44it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:17<00:44, 80.87it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:17<00:44, 80.87it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:17<00:43, 81.87it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:17<00:43, 81.87it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:17<00:43, 82.50it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:17<00:43, 82.50it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:17<00:42, 83.13it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:17<00:42, 83.13it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:17<00:42, 83.37it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:18<00:42, 83.37it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:18<00:42, 83.46it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:18<00:42, 83.46it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:18<00:42, 83.79it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:18<00:42, 83.79it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:18<00:41, 83.95it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:18<00:41, 83.95it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:18<00:41, 83.94it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:18<00:41, 83.94it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:18<00:41, 84.18it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:18<00:41, 84.18it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:18<00:42, 81.23it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6510/10000 [01:18<00:42, 81.23it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:18<00:42, 82.04it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:18<00:42, 82.04it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:18<00:41, 82.62it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:18<00:41, 82.62it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:18<00:41, 83.09it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6540/10000 [01:19<00:41, 83.09it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:19<00:41, 83.28it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:19<00:41, 83.28it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:19<00:41, 83.45it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:19<00:41, 83.45it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:19<00:41, 83.52it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:19<00:41, 83.52it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:19<00:40, 83.69it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6580/10000 [01:19<00:40, 83.69it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:19<00:40, 83.68it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:19<00:40, 83.68it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:19<00:40, 83.76it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:19<00:40, 83.76it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:19<00:41, 81.02it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:19<00:41, 81.02it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:19<00:41, 82.04it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:20<00:41, 82.04it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:20<00:40, 82.72it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:20<00:40, 82.72it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:20<00:40, 83.19it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6640/10000 [01:20<00:40, 83.19it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:20<00:40, 83.40it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:20<00:40, 83.40it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:20<00:40, 83.48it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:20<00:40, 83.48it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:20<00:39, 83.53it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6670/10000 [01:20<00:39, 83.53it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:20<00:39, 83.63it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:20<00:39, 83.63it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:20<00:39, 83.82it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:20<00:39, 83.82it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:20<00:39, 83.87it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:21<00:39, 83.87it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:21<00:40, 81.16it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:21<00:40, 81.16it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:21<00:39, 82.08it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:21<00:39, 82.08it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:21<00:39, 82.71it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:21<00:39, 82.71it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:21<00:39, 83.12it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:21<00:39, 83.12it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:21<00:38, 83.62it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:21<00:38, 83.62it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:21<00:38, 83.69it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:21<00:38, 83.69it/s, Loss=0.00026, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:21<00:38, 83.83it/s, Loss=0.00026, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:21<00:38, 83.83it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:21<00:38, 84.15it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:21<00:38, 84.15it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:21<00:38, 84.46it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:22<00:38, 84.46it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:22<00:37, 84.40it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:22<00:37, 84.40it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:22<00:39, 81.16it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:22<00:39, 81.16it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:22<00:38, 81.90it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:22<00:38, 81.90it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:22<00:38, 82.62it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:22<00:38, 82.62it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:22<00:37, 83.20it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:22<00:37, 83.20it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:22<00:37, 83.72it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:22<00:37, 83.72it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:22<00:37, 83.94it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:22<00:37, 83.94it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:22<00:37, 84.09it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:23<00:37, 84.09it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:23<00:37, 83.98it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:23<00:37, 83.98it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:23<00:36, 84.21it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:23<00:36, 84.21it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:23<00:36, 84.06it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6900/10000 [01:23<00:36, 84.06it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:23<00:38, 81.00it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:23<00:38, 81.00it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:23<00:37, 82.03it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:23<00:37, 82.03it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:23<00:37, 82.67it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:23<00:37, 82.67it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:23<00:36, 83.19it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:23<00:36, 83.19it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:23<00:36, 83.56it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:24<00:36, 83.56it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:24<00:36, 83.39it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:24<00:36, 83.39it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:24<00:36, 83.64it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:24<00:36, 83.64it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:24<00:36, 83.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:24<00:36, 83.75it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:24<00:35, 83.82it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:24<00:35, 83.82it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:24<00:35, 83.96it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:24<00:35, 83.96it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:24<00:55, 53.55it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:24<00:55, 53.55it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:24<00:49, 60.19it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:25<00:49, 60.19it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:25<00:45, 65.78it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:25<00:45, 65.78it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:25<00:42, 70.37it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:25<00:42, 70.37it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:25<00:39, 73.88it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7050/10000 [01:25<00:39, 73.88it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:25<00:38, 76.73it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:25<00:38, 76.73it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:25<00:37, 78.91it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:25<00:37, 78.91it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:25<00:36, 80.48it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:25<00:36, 80.48it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:25<00:35, 81.66it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:25<00:35, 81.66it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:25<00:35, 82.29it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:26<00:35, 82.29it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:26<00:36, 79.81it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:26<00:36, 79.81it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:26<00:35, 81.26it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:26<00:35, 81.26it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:26<00:35, 81.99it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:26<00:35, 81.99it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:26<00:34, 82.66it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:26<00:34, 82.66it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:26<00:34, 83.15it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:26<00:34, 83.15it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:26<00:33, 83.54it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:26<00:33, 83.54it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:26<00:33, 84.02it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:26<00:33, 84.02it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:26<00:33, 83.86it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:26<00:33, 83.86it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:26<00:33, 83.85it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:27<00:33, 83.85it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:27<00:33, 84.08it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:27<00:33, 84.08it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:27<00:34, 81.26it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:27<00:34, 81.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:27<00:33, 82.29it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:27<00:33, 82.29it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:27<00:33, 83.07it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:27<00:33, 83.07it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:27<00:33, 83.43it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:27<00:33, 83.43it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:27<00:32, 83.75it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:27<00:32, 83.75it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:27<00:32, 83.96it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:27<00:32, 83.96it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:27<00:32, 84.16it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:28<00:32, 84.16it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:28<00:32, 84.35it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:28<00:32, 84.35it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:28<00:32, 84.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:28<00:32, 84.26it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:28<00:31, 84.58it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:28<00:31, 84.58it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:28<00:33, 81.50it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:28<00:33, 81.50it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:28<00:32, 81.90it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:28<00:32, 81.90it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:28<00:32, 82.46it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:28<00:32, 82.46it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:28<00:32, 82.63it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:28<00:32, 82.63it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:28<00:31, 83.09it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:29<00:31, 83.09it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:29<00:31, 83.39it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:29<00:31, 83.39it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:29<00:31, 83.65it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:29<00:31, 83.65it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:29<00:31, 83.76it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:29<00:31, 83.76it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:29<00:31, 83.70it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:29<00:31, 83.70it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:29<00:30, 84.05it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:29<00:30, 84.05it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:29<00:31, 81.37it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:29<00:31, 81.37it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:29<00:31, 82.26it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:29<00:31, 82.26it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:29<00:31, 82.67it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:30<00:31, 82.67it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:30<00:30, 83.04it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:30<00:30, 83.04it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:30<00:30, 83.42it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:30<00:30, 83.42it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:30<00:30, 83.28it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:30<00:30, 83.28it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:30<00:30, 83.69it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:30<00:30, 83.69it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:30<00:30, 83.74it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:30<00:30, 83.74it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:30<00:29, 84.04it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:30<00:29, 84.04it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:30<00:29, 83.91it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:30<00:29, 83.91it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:30<00:30, 80.98it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7510/10000 [01:30<00:30, 80.98it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:30<00:30, 82.21it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:31<00:30, 82.21it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:31<00:29, 82.70it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:31<00:29, 82.70it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:31<00:29, 83.35it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:31<00:29, 83.35it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:31<00:29, 83.71it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:31<00:29, 83.71it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:31<00:29, 83.98it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:31<00:29, 83.98it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:31<00:28, 84.04it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:31<00:28, 84.04it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:31<00:28, 84.29it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:31<00:28, 84.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:31<00:28, 84.45it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:31<00:28, 84.45it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:31<00:28, 84.57it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:32<00:28, 84.57it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:32<00:29, 81.71it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:32<00:29, 81.71it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:32<00:28, 82.52it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:32<00:28, 82.52it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:32<00:28, 83.03it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:32<00:28, 83.03it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:32<00:28, 83.46it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:32<00:28, 83.46it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:32<00:28, 83.79it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:32<00:28, 83.79it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:32<00:27, 83.86it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:32<00:27, 83.86it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:32<00:27, 84.05it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:32<00:27, 84.05it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:32<00:27, 84.33it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:32<00:27, 84.33it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:32<00:27, 84.49it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:33<00:27, 84.49it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:33<00:27, 84.74it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:33<00:27, 84.74it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:33<00:28, 81.52it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:33<00:28, 81.52it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:33<00:27, 82.19it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:33<00:27, 82.19it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:33<00:27, 82.77it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:33<00:27, 82.77it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:33<00:27, 83.23it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:33<00:27, 83.23it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:33<00:26, 83.57it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:33<00:26, 83.57it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:33<00:26, 83.64it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:33<00:26, 83.64it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:33<00:26, 83.86it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:34<00:26, 83.86it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:34<00:26, 83.99it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:34<00:26, 83.99it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:34<00:26, 83.97it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:34<00:26, 83.97it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:34<00:26, 84.07it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:34<00:26, 84.07it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:34<00:26, 81.37it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:34<00:26, 81.37it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:34<00:26, 82.26it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:34<00:26, 82.26it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:34<00:26, 82.89it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:34<00:26, 82.89it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:34<00:25, 83.45it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:34<00:25, 83.45it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:34<00:25, 83.97it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:35<00:25, 83.97it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:35<00:25, 83.91it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:35<00:25, 83.91it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:35<00:25, 84.14it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:35<00:25, 84.14it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:35<00:25, 84.28it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:35<00:25, 84.28it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:35<00:25, 84.35it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:35<00:25, 84.35it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:35<00:24, 84.34it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:35<00:24, 84.34it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:35<00:25, 81.32it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:35<00:25, 81.32it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:35<00:25, 82.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:35<00:25, 82.24it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:35<00:24, 82.95it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:35<00:24, 82.95it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:36<00:24, 83.52it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:36<00:24, 83.52it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:36<00:24, 83.89it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:36<00:24, 83.89it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:36<00:24, 84.12it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:36<00:24, 84.12it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:36<00:24, 84.30it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:36<00:24, 84.30it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:36<00:23, 84.35it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:36<00:23, 84.35it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:36<00:23, 84.37it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:36<00:23, 84.37it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:36<00:23, 84.44it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:36<00:23, 84.44it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:36<00:24, 81.57it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:36<00:24, 81.57it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:36<00:24, 82.30it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:37<00:24, 82.30it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:37<00:23, 82.99it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:37<00:23, 82.99it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:37<00:23, 83.40it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:37<00:23, 83.40it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:37<00:23, 83.97it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:37<00:23, 83.97it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:37<00:23, 84.15it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:37<00:23, 84.15it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:37<00:22, 84.08it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:37<00:22, 84.08it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:37<00:22, 84.31it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:37<00:22, 84.31it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:37<00:22, 84.51it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:37<00:22, 84.51it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:37<00:22, 84.26it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:38<00:22, 84.26it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:38<00:23, 81.37it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:38<00:23, 81.37it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:38<00:22, 82.27it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:38<00:22, 82.27it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:38<00:22, 83.10it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:38<00:22, 83.10it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:38<00:22, 83.36it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:38<00:22, 83.36it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:38<00:22, 83.60it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:38<00:22, 83.60it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:38<00:21, 83.90it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:38<00:21, 83.90it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:38<00:21, 83.91it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:38<00:21, 83.91it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:38<00:21, 84.05it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:38<00:21, 84.05it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:38<00:21, 84.22it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:39<00:21, 84.22it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:39<00:21, 84.27it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:39<00:21, 84.27it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:39<00:21, 81.55it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:39<00:21, 81.55it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:39<00:21, 82.61it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:39<00:21, 82.61it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:39<00:21, 83.33it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:39<00:21, 83.33it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:39<00:20, 83.88it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:39<00:20, 83.88it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:39<00:20, 84.21it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:39<00:20, 84.21it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:39<00:20, 84.41it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:39<00:20, 84.41it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:39<00:20, 84.61it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:40<00:20, 84.61it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:40<00:20, 84.63it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:40<00:20, 84.63it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:40<00:20, 84.53it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:40<00:20, 84.53it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:40<00:20, 84.78it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:40<00:20, 84.78it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:40<00:20, 81.84it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:40<00:20, 81.84it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:40<00:20, 82.61it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:40<00:20, 82.61it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:40<00:20, 83.35it/s, Loss=0.00026, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:40<00:20, 83.35it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:40<00:19, 83.60it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:40<00:19, 83.60it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:40<00:19, 83.69it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:41<00:19, 83.69it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:41<00:19, 83.63it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:41<00:19, 83.63it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:41<00:19, 83.88it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:41<00:19, 83.88it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:41<00:19, 83.98it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:41<00:19, 83.98it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:41<00:19, 83.96it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:41<00:19, 83.96it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:41<00:19, 84.15it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:41<00:19, 84.15it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:41<00:19, 81.45it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:41<00:19, 81.45it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:41<00:19, 82.35it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:41<00:19, 82.35it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:41<00:18, 83.01it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:41<00:18, 83.01it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:41<00:18, 83.67it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:42<00:18, 83.67it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:42<00:18, 84.03it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:42<00:18, 84.03it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:42<00:18, 84.28it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:42<00:18, 84.28it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:42<00:18, 84.50it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:42<00:18, 84.50it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:42<00:17, 84.69it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:42<00:17, 84.69it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:42<00:17, 84.77it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:42<00:17, 84.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:42<00:17, 84.75it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:42<00:17, 84.75it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:42<00:18, 81.70it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:42<00:18, 81.70it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:42<00:17, 82.48it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:43<00:17, 82.48it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:43<00:17, 83.08it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:43<00:17, 83.08it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:43<00:17, 83.45it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:43<00:17, 83.45it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:43<00:17, 83.72it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:43<00:17, 83.72it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:43<00:17, 84.01it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:43<00:17, 84.01it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:43<00:17, 83.88it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:43<00:17, 83.88it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:43<00:16, 83.93it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:43<00:16, 83.93it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:43<00:16, 83.95it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:43<00:16, 83.95it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:43<00:16, 84.06it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:44<00:16, 84.06it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:44<00:17, 81.33it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:44<00:17, 81.33it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:44<00:16, 82.36it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:44<00:16, 82.36it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:44<00:16, 83.19it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:44<00:16, 83.19it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:44<00:16, 83.54it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:44<00:16, 83.54it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:44<00:16, 83.96it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:44<00:16, 83.96it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:44<00:15, 84.22it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:44<00:15, 84.22it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:44<00:15, 84.44it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:44<00:15, 84.44it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:44<00:15, 84.59it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:44<00:15, 84.59it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:44<00:15, 84.58it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:45<00:15, 84.58it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:45<00:15, 84.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:45<00:15, 84.78it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:45<00:15, 81.83it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:45<00:15, 81.83it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:45<00:15, 82.68it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:45<00:15, 82.68it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:45<00:15, 83.26it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:45<00:15, 83.26it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:45<00:15, 83.73it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:45<00:15, 83.73it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:45<00:14, 83.74it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:45<00:14, 83.74it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:45<00:14, 84.13it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:45<00:14, 84.13it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:45<00:14, 84.22it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:46<00:14, 84.22it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:46<00:14, 84.20it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:46<00:14, 84.20it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:46<00:14, 84.28it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:46<00:14, 84.28it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:46<00:14, 84.35it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:46<00:14, 84.35it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:46<00:14, 81.58it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:46<00:14, 81.58it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:46<00:14, 82.09it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:46<00:14, 82.09it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:46<00:14, 82.80it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:46<00:14, 82.80it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:46<00:13, 83.51it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:46<00:13, 83.51it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:46<00:13, 83.94it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:47<00:13, 83.94it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:47<00:13, 84.18it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:47<00:13, 84.18it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:47<00:13, 84.20it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:47<00:13, 84.20it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:47<00:13, 84.39it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:47<00:13, 84.39it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:47<00:13, 84.31it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:47<00:13, 84.31it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:47<00:13, 84.39it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:47<00:13, 84.39it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:47<00:13, 81.31it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:47<00:13, 81.31it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:47<00:13, 82.02it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:47<00:13, 82.02it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:47<00:12, 82.75it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:47<00:12, 82.75it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:47<00:12, 83.12it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:48<00:12, 83.12it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:48<00:12, 83.50it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:48<00:12, 83.50it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:48<00:12, 83.84it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:48<00:12, 83.84it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:48<00:12, 84.08it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:48<00:12, 84.08it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:48<00:12, 84.21it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:48<00:12, 84.21it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:48<00:11, 84.18it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:48<00:11, 84.18it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:48<00:11, 84.29it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:48<00:11, 84.29it/s, Loss=0.00359, L1 Loss=0.00078, Depth Loss=0.00020, Normal Loss=0.00000, Seg Loss=0.00238, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:48<00:12, 81.54it/s, Loss=0.00359, L1 Loss=0.00078, Depth Loss=0.00020, Normal Loss=0.00000, Seg Loss=0.00238, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:48<00:12, 81.54it/s, Loss=0.00113, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:48<00:11, 82.23it/s, Loss=0.00113, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:49<00:11, 82.23it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:49<00:11, 82.15it/s, Loss=0.00049, L1 Loss=0.00009, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9030/10000 [01:49<00:11, 82.15it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:49<00:11, 82.44it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:49<00:11, 82.44it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:49<00:11, 82.73it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:49<00:11, 82.73it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:49<00:11, 83.01it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:49<00:11, 83.01it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:49<00:11, 82.85it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:49<00:11, 82.85it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:49<00:11, 83.11it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:49<00:11, 83.11it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:49<00:10, 83.41it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:49<00:10, 83.41it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:49<00:10, 83.31it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:50<00:10, 83.31it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:50<00:11, 80.25it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:50<00:11, 80.25it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:50<00:10, 81.30it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:50<00:10, 81.30it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:50<00:10, 82.11it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:50<00:10, 82.11it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:50<00:10, 82.44it/s, Loss=0.00025, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:50<00:10, 82.44it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:50<00:10, 82.93it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:50<00:10, 82.93it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:50<00:10, 83.14it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:50<00:10, 83.14it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:50<00:09, 83.44it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:50<00:09, 83.44it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:50<00:09, 83.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:50<00:09, 83.53it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:50<00:09, 83.67it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:51<00:09, 83.67it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:51<00:09, 83.57it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:51<00:09, 83.57it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:51<00:09, 80.53it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:51<00:09, 80.53it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [01:51<00:09, 81.36it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [01:51<00:09, 81.36it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [01:51<00:09, 81.92it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [01:51<00:09, 81.92it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [01:51<00:09, 82.33it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [01:51<00:09, 82.33it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [01:51<00:09, 82.59it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [01:51<00:09, 82.59it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [01:51<00:08, 82.69it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [01:51<00:08, 82.69it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [01:51<00:08, 83.02it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [01:52<00:08, 83.02it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [01:52<00:08, 83.00it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [01:52<00:08, 83.00it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [01:52<00:08, 83.13it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [01:52<00:08, 83.13it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [01:52<00:08, 83.01it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [01:52<00:08, 83.01it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [01:52<00:08, 80.30it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [01:52<00:08, 80.30it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [01:52<00:08, 81.33it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [01:52<00:08, 81.33it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [01:52<00:08, 82.04it/s, Loss=0.00024, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [01:52<00:08, 82.04it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [01:52<00:07, 82.50it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [01:52<00:07, 82.50it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [01:52<00:07, 82.87it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [01:53<00:07, 82.87it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [01:53<00:07, 83.18it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [01:53<00:07, 83.18it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [01:53<00:07, 83.30it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [01:53<00:07, 83.30it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [01:53<00:07, 83.27it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [01:53<00:07, 83.27it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [01:53<00:07, 83.38it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [01:53<00:07, 83.38it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [01:53<00:07, 83.40it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [01:53<00:07, 83.40it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [01:53<00:07, 80.47it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [01:53<00:07, 80.47it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [01:53<00:07, 81.56it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [01:53<00:07, 81.56it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [01:53<00:06, 82.20it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [01:54<00:06, 82.20it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [01:54<00:06, 82.61it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [01:54<00:06, 82.61it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [01:54<00:06, 82.89it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [01:54<00:06, 82.89it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [01:54<00:06, 83.14it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [01:54<00:06, 83.14it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [01:54<00:06, 83.40it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [01:54<00:06, 83.40it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [01:54<00:06, 83.58it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [01:54<00:06, 83.58it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [01:54<00:06, 83.61it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [01:54<00:06, 83.61it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [01:54<00:05, 83.66it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [01:54<00:05, 83.66it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [01:54<00:06, 80.90it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [01:54<00:06, 80.90it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [01:54<00:05, 81.67it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [01:55<00:05, 81.67it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [01:55<00:05, 82.30it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [01:55<00:05, 82.30it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [01:55<00:05, 82.89it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [01:55<00:05, 82.89it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [01:55<00:05, 83.26it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [01:55<00:05, 83.26it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [01:55<00:05, 83.44it/s, Loss=0.00021, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [01:55<00:05, 83.44it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [01:55<00:05, 83.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [01:55<00:05, 83.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [01:55<00:05, 83.86it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [01:55<00:05, 83.86it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [01:55<00:04, 83.89it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [01:55<00:04, 83.89it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [01:55<00:04, 84.14it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [01:56<00:04, 84.14it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [01:56<00:04, 81.17it/s, Loss=0.00025, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [01:56<00:04, 81.17it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [01:56<00:04, 81.82it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [01:56<00:04, 81.82it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [01:56<00:04, 82.36it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [01:56<00:04, 82.36it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [01:56<00:04, 82.88it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [01:56<00:04, 82.88it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [01:56<00:04, 83.14it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [01:56<00:04, 83.14it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [01:56<00:04, 83.40it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [01:56<00:04, 83.40it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [01:56<00:03, 83.71it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [01:56<00:03, 83.71it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [01:56<00:03, 83.28it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [01:57<00:03, 83.28it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [01:57<00:03, 83.41it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [01:57<00:03, 83.41it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [01:57<00:03, 83.39it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [01:57<00:03, 83.39it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [01:57<00:03, 80.58it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [01:57<00:03, 80.58it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [01:57<00:03, 81.45it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [01:57<00:03, 81.45it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [01:57<00:03, 82.13it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [01:57<00:03, 82.13it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [01:57<00:03, 82.76it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [01:57<00:03, 82.76it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [01:57<00:03, 82.89it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00039, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [01:57<00:03, 82.89it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [01:57<00:02, 82.88it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [01:57<00:02, 82.88it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [01:57<00:02, 83.19it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [01:58<00:02, 83.19it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [01:58<00:02, 83.45it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [01:58<00:02, 83.45it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [01:58<00:02, 83.78it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [01:58<00:02, 83.78it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [01:58<00:02, 83.60it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [01:58<00:02, 83.60it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [01:58<00:02, 80.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [01:58<00:02, 80.29it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [01:58<00:02, 81.14it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [01:58<00:02, 81.14it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [01:58<00:02, 81.95it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [01:58<00:02, 81.95it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [01:58<00:01, 82.53it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [01:58<00:01, 82.53it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [01:58<00:01, 82.88it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [01:59<00:01, 82.88it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [01:59<00:01, 83.25it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [01:59<00:01, 83.25it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [01:59<00:01, 83.46it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [01:59<00:01, 83.46it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [01:59<00:01, 83.72it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [01:59<00:01, 83.72it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [01:59<00:01, 83.69it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [01:59<00:01, 83.69it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [01:59<00:01, 83.74it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [01:59<00:01, 83.74it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [01:59<00:01, 80.77it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00040, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [01:59<00:01, 80.77it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [01:59<00:00, 81.59it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [01:59<00:00, 81.59it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [01:59<00:00, 82.32it/s, Loss=0.00023, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [02:00<00:00, 82.32it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:00<00:00, 82.78it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [02:00<00:00, 82.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:00<00:00, 82.92it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [02:00<00:00, 82.92it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:00<00:00, 83.20it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [02:00<00:00, 83.20it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:00<00:00, 83.13it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [02:00<00:00, 83.13it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:00<00:00, 83.43it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [02:00<00:00, 83.43it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:00<00:00, 83.63it/s, Loss=0.00022, L1 Loss=0.00003, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:00<00:00, 83.63it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:00<00:00, 83.66it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:00<00:00, 82.80it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
-
-[ITER 7000] Saving Gaussians [28/10 13:48:48]
-
-[ITER 10000] Saving Gaussians [28/10 13:49:25]
-
-Training complete. [28/10 13:49:25]
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cameras.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cameras.json
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cfg_args b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cfg_args
deleted file mode 100644
index df57cf547925e6d35b04a87427305ee4c832f277..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/input_case/session_20260921_230338_900969', model_path='/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/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_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793209643.labcomputer.1065395.0 b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793209643.labcomputer.1065395.0
deleted file mode 100644
index d131c5e972e4bce5f153b7e484556347bebc9a5e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793209643.labcomputer.1065395.0
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d5cd8eb96a7d2922e94e5edaab2bf1bad74f92317eefe46365cd300f87715ff7
-size 1809707
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply
deleted file mode 100644
index 6b6c056f6024c391edb4d7b0b2dc47277212a618..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8d7e0d80444e79083b443e4b3c330f0ae5f777912a0e52a0239c6e56d1170aa2
-size 17179244
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_7000/point_cloud.ply b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_7000/point_cloud.ply
deleted file mode 100644
index 3c5a6f4f0e2139deba2c656ed4946c81da497909..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_7000/point_cloud.ply
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dfc41034d727d10f7746b4523ff09715bc80548a6a2a66ab659f19216824f890
-size 17088044
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json
deleted file mode 100644
index 277b65697b88223aa8312448debd2f38be9e39d3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json
+++ /dev/null
@@ -1,83 +0,0 @@
-{
-  "status": "trained and agent-reviewed; owner appearance acceptance pending",
-  "training_iterations": 10000,
-  "gaussian_optimizer_update_calls": 9999,
-  "initial_gaussians": 67023,
-  "saved_gaussians": 71574,
-  "export_gaussians_strict_opacity_gt_0_1": 62910,
-  "final_isotropic_log_scale_columns": 1,
-  "final_active_sh_degree": 3,
-  "finite_saved_view_arrays": [
-    "iteration_0/view_0.npz",
-    "iteration_0/view_1.npz",
-    "iteration_0/view_2.npz",
-    "iteration_0/view_3.npz",
-    "iteration_7000/view_0.npz",
-    "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"
-  ],
-  "finite_ply_snapshots": [
-    "model/input.ply",
-    "model/point_cloud/iteration_7000/point_cloud.ply",
-    "model/point_cloud/iteration_10000/point_cloud.ply"
-  ],
-  "scalar_steps_verified": [
-    1,
-    10000
-  ],
-  "scalar_steps_contiguous": true,
-  "finite_scalar_tags": [
-    "train_loss_patches/l1_loss",
-    "train_loss_patches/total_loss",
-    "iter_time"
-  ],
-  "mean_training_view_source_total_initial": 0.005413941381469343,
-  "mean_training_view_source_total_final": 0.00023157251812867556,
-  "source_metric_scope": "same four initial training views, source full-image averaging; final review uses strict opacity >0.1 export filter; not held-out evidence",
-  "training_stage_elapsed_s_including_lane_wait": 391.2990897760028,
-  "review_stage_elapsed_s_including_lane_wait": 217.59252788200683,
-  "visually_inspected": [
-    "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"
-  ],
-  "orbit_frames_inspected": [
-    0,
-    25,
-    50,
-    75,
-    100,
-    125,
-    150,
-    175
-  ],
-  "orbit_frame_count": 200,
-  "observations": [
-    "The visible orange belt and purple tape align with the four initial observations.",
-    "The hand-hidden grasp arc remains incomplete, with an open gap and a substantial local diffuse fringe in views 0 and 2 (12540311 and 17736741). Views 1 and 3 retain small protrusions beside the gap.",
-    "The same localized gap and diffuse fringe remain visible around the eight sampled orbit views. No overall collapse or broad detached cloud was observed.",
-    "Loss curves settle after sharp transients near steps 3000, 6000 and 9000, consistent with the unchanged source opacity-reset schedule."
-  ],
-  "limitations": [
-    "Only the four initial images were trained; this does not establish held-out or dynamic rendering quality.",
-    "The hidden grasp region remains weakly constrained. Low same-view losses do not establish complete occluded geometry or physical accuracy.",
-    "Black backgrounds are object-only diagnostic renders. The raw RGB residual compares against the full scene and is not the masked training objective.",
-    "Eight sampled orbit frames were inspected; every orbit frame was not individually inspected.",
-    "Owner appearance acceptance is pending and remains separate from physical fitting."
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
deleted file mode 100644
index 1ed602ab8a8e617becebbeaa2e3348733a0f26b3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
+++ /dev/null
@@ -1,120008 +0,0 @@
-{
-  "train_loss_patches/l1_loss": [
-    [
-      1,
-      0.0008433249313384295
-    ],
-    [
-      2,
-      0.0012883722083643079
-    ],
-    [
-      3,
-      0.0010399754391983151
-    ],
-    [
-      4,
-      0.0010161044774577022
-    ],
-    [
-      5,
-      0.0007275850512087345
-    ],
-    [
-      6,
-      0.0011272846022620797
-    ],
-    [
-      7,
-      0.0008998002740554512
-    ],
-    [
-      8,
-      0.000885749002918601
-    ],
-    [
-      9,
-      0.0008500473340973258
-    ],
-    [
-      10,
-      0.0010135434567928314
-    ],
-    [
-      11,
-      0.0007992382743395865
-    ],
-    [
-      12,
-      0.0006398637779057026
-    ],
-    [
-      13,
-      0.0007318108691833913
-    ],
-    [
-      14,
-      0.0006127922097221017
-    ],
-    [
-      15,
-      0.0009047018247656524
-    ],
-    [
-      16,
-      0.0007340520969592035
-    ],
-    [
-      17,
-      0.000714204041287303
-    ],
-    [
-      18,
-      0.000840423337649554
-    ],
-    [
-      19,
-      0.000548363896086812
-    ],
-    [
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-          "depth": 0.0005766434233594272,
-          "rgb_loss": 0.00013453328574541956,
-          "seg_loss": 0.00025501311756670475,
-          "total": 0.0003901230321835685
-        },
-        "3": {
-          "l1": 3.7488978705368936e-05,
-          "ssim_fused": 0.9998318552970886,
-          "seg_l1": 9.70315741142258e-05,
-          "seg_ssim_ref": 0.9998318552970886,
-          "depth": 0.00037695270755086784,
-          "rgb_loss": 6.362012209137902e-05,
-          "seg_loss": 0.00011125420860480517,
-          "total": 0.00017525127612777743
-        }
-      },
-      "novel_frames": 200
-    }
-  }
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/run_record.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/run_record.json
deleted file mode 100644
index eca6374f5c1e1bf1db49020fc525a88493d2e873..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "prior_manifest_sha256": "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-  "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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1/input_case/session_20260921_230338_900969",
-    "-m",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/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_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json
deleted file mode 100644
index c4ab61bcfbaf81d9eb196e5c42ca3c39c2bebd6d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_argv.json
+++ /dev/null
@@ -1,18 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--accepted-prior-manifest-sha256",
-    "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  }
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json
deleted file mode 100644
index ae66fc10ec1adc02b589ee2895cb8930545c87a5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 391.2990897760028
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors.log
deleted file mode 100644
index 299d71c489900aecef312340f8a1508bf6975eea..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/colors.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_argv.json
deleted file mode 100644
index fad1940830dc0a413ab8fe82fc13f692206083a6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:31:09.312506+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_result.json
deleted file mode 100644
index 941d278ee9abe5112c25a8af00e8e0cb2ff3d2cb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_colors_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.6579346656799316,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_complete.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_complete.json
deleted file mode 100644
index 641f41dcf9fadbfec04114d958123914152e35ca..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_complete.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "phase": "prior",
-  "completed_utc": "2026-10-28T17:31:30.882584+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth.log
deleted file mode 100644
index 2a1178795072f486ef29dece235790c433a6d68f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/diagnose-depth.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_argv.json
deleted file mode 100644
index 6d818d8c9010e76f099fb384c16018778bcd68cc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:30:37.238202+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_result.json
deleted file mode 100644
index 55f234e411d43f9c05525fa7b92556a18aed6399..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_diagnose_depth_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 1.529754638671875,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit.log
deleted file mode 100644
index 4f7b541e1ae8eac2eea51862611378d791c0a73c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/fit.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_argv.json
deleted file mode 100644
index 17b90a9f7cd9645aae36e68a99aaadba7d84576d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_argv.json
+++ /dev/null
@@ -1,22 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--outlier-filter",
-    "statistical:20:2.0",
-    "--max-rounds",
-    "400",
-    "--reprojection-weight",
-    "4"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:30:38.770258+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_result.json
deleted file mode 100644
index 46603ebc8d14739bce4751142841d7f5c78cea3c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_fit_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 25.57951784133911,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid.log
deleted file mode 100644
index dc7e2fdb99a9ddd41788d44a280eed7a4841f696..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/hybrid.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_argv.json
deleted file mode 100644
index 3c9c0eb49d5821dd2567b205d49a7340c9a39cde..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:31:11.973288+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_result.json
deleted file mode 100644
index 08cb955a30acb9b26174a3a5ee44ee91b6a713a4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_hybrid_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.2978744506835938,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs.log
deleted file mode 100644
index 41fff7b700537a8c491aa070d4c31e0adb3fa448..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/inputs.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_argv.json
deleted file mode 100644
index 9ba4850e9b758729917b1b36ffa6690c6f51e755..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_argv.json
+++ /dev/null
@@ -1,29 +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_230338_900969/window_anchor0305-0744",
-    "--object",
-    "orange_round_belt",
-    "--unfitted-inputs",
-    "--fitting-bundle",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:30:05.300752+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_result.json
deleted file mode 100644
index 528c1e8dbf371e9fa91953ca0363824f5a249038..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_inputs_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 31.90690541267395,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest.log
deleted file mode 100644
index 5d6d0fdac5e3b7c625ef31d0797f505dfaa08b63..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest.log
+++ /dev/null
@@ -1 +0,0 @@
-/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/manifest.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_argv.json
deleted file mode 100644
index 99010424380a17b95cc64ee7afef07df8cd8db76..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:31:29.568595+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_result.json
deleted file mode 100644
index 06476ec7aa8e38a30ceab5c55cbc1830a3a4fe1b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_manifest_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 1.3115313053131104,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review.log
deleted file mode 100644
index 3cdf43b2ce3b1fbb0551762bd13510c676ce38e4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/review.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_argv.json
deleted file mode 100644
index a8fc551868c1c368802f7a63e32de51f2631dafd..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:31:14.279196+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_result.json
deleted file mode 100644
index b6ea7a7cf82e10fbc94d1d66e3c6b84395cc7173..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 15.223763227462769,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube.log
deleted file mode 100644
index 5e17c814bcc4b3612f21130616af1555a4c213bf..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/steps/tube.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_argv.json
deleted file mode 100644
index a209ecb653407fffd06641e525683427f31bb021..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_argv.json
+++ /dev/null
@@ -1,16 +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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:31:04.352520+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_result.json
deleted file mode 100644
index c64b988eb226f263ad3614acda38a210e1e69c9c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_prior_tube_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 4.956799507141113,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_complete.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_complete.json
deleted file mode 100644
index 4739e3a1921e20f9a8d0cdecb5d66db63618e259..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_complete.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "phase": "reference",
-  "completed_utc": "2026-10-28T17:13:50.557971+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_argv.json
deleted file mode 100644
index ecf051c83a20250e2cd3b7ea44c4ae236255b582..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_argv.json
+++ /dev/null
@@ -1,33 +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_230338_900969/window_anchor0305-0744",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--cotracker-tracks",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/query_tracks",
-    "--support-rule",
-    "rt_d7_depth_consistency_v1",
-    "--observations-only",
-    "--participating-hand",
-    "hand_A",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/rt3_lifts"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:06:20.662612+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_result.json
deleted file mode 100644
index f3fce5db50a94b3f96ed4efe68cdeaab85e02ef7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_lift_depth_consistency_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 199.43039274215698,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks.log
deleted file mode 100644
index acc94de97f3afa4abf3272e3549726aede53bf53..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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': 1124, 'hand_A': 3819, 'hand_B': 0}
-12933256: members {'object': 1756, 'hand_A': 3146, 'hand_B': 0}
-17736741: members {'object': 1174, 'hand_A': 3770, 'hand_B': 0}
-23007103: members {'object': 1558, 'hand_A': 3322, 'hand_B': 0}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks_argv.json
deleted file mode 100644
index 8484321f844067f0cde14b63f913529d5846c58f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969",
-    "--frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/query_tracks"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T16:55:03.971491+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks_result.json
deleted file mode 100644
index e8c8aa9a17754fd1b7ca24c5bb5f82c5399020b0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_query_tracks_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 435.0563008785248,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review.log
deleted file mode 100644
index 8b016369bf9b41e401d10af28ca226583a4d6e0a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review.log
+++ /dev/null
@@ -1,49 +0,0 @@
-12540311: diagnostics 0/439
-12540311: diagnostics 100/439
-12540311: diagnostics 200/439
-12540311: diagnostics 300/439
-12540311: diagnostics 400/439
-12540311: diagnostics 439/439
-12540311: visual frame 0/439
-12540311: visual frame 100/439
-12540311: visual frame 200/439
-12540311: visual frame 300/439
-12540311: visual frame 400/439
-12540311: visual frame 439/439
-12933256: diagnostics 0/439
-12933256: diagnostics 100/439
-12933256: diagnostics 200/439
-12933256: diagnostics 300/439
-12933256: diagnostics 400/439
-12933256: diagnostics 439/439
-12933256: visual frame 0/439
-12933256: visual frame 100/439
-12933256: visual frame 200/439
-12933256: visual frame 300/439
-12933256: visual frame 400/439
-12933256: visual frame 439/439
-17736741: diagnostics 0/439
-17736741: diagnostics 100/439
-17736741: diagnostics 200/439
-17736741: diagnostics 300/439
-17736741: diagnostics 400/439
-17736741: diagnostics 439/439
-17736741: visual frame 0/439
-17736741: visual frame 100/439
-17736741: visual frame 200/439
-17736741: visual frame 300/439
-17736741: visual frame 400/439
-17736741: visual frame 439/439
-23007103: diagnostics 0/439
-23007103: diagnostics 100/439
-23007103: diagnostics 200/439
-23007103: diagnostics 300/439
-23007103: diagnostics 400/439
-23007103: diagnostics 439/439
-23007103: visual frame 0/439
-23007103: visual frame 100/439
-23007103: visual frame 200/439
-23007103: visual frame 300/439
-23007103: visual frame 400/439
-23007103: visual frame 439/439
-{"views": {"12540311": {"T": 440, "queries": 5000, "keyframes": [0, 54, 80, 109, 164, 219, 274, 329, 384, 439], "source_seed_counts": {"object": 1152, "hand_A": 3848, "hand_B": 0}, "tap_visible_fraction_min_mean_max": [0.7852, 0.9403604545454546, 1.0], "accepted_object_min_max": [166, 628], "paired_common_min_max": [3706, 4464]}, "12933256": {"T": 440, "queries": 5000, "keyframes": [0, 54, 96, 109, 164, 170, 219, 274, 329, 384, 439], "source_seed_counts": {"object": 1798, "hand_A": 3201, "hand_B": 0}, "tap_visible_fraction_min_mean_max": [0.9022, 0.9472122727272727, 1.0], "accepted_object_min_max": [554, 1020], "paired_common_min_max": [3187, 4174]}, "17736741": {"T": 440, "queries": 5000, "keyframes": [0, 54, 80, 109, 164, 219, 274, 329, 384, 391, 439], "source_seed_counts": {"object": 1201, "hand_A": 3790, "hand_B": 0}, "tap_visible_fraction_min_mean_max": [0.8898, 0.9554572727272728, 1.0], "accepted_object_min_max": [289, 703], "paired_common_min_max": [3854, 4483]}, "23007103": {"T": 440, "queries": 5000, "keyframes": [0, 54, 109, 164, 219, 274, 299, 300, 329, 384, 439], "source_seed_counts": {"object": 1594, "hand_A": 3406, "hand_B": 0}, "tap_visible_fraction_min_mean_max": [0.8712, 0.9669913636363636, 1.0], "accepted_object_min_max": [483, 753], "paired_common_min_max": [3022, 4071]}}, "complete": true, "observations_only": true, "controller_pool": {"controller_gate_m": 0.04, "participating_hands": ["hand_A"], "survivors": {"12540311": {"hand_A": 1275, "hand_B": 0}, "12933256": {"hand_A": 1355, "hand_B": 0}, "17736741": {"hand_A": 1459, "hand_B": 0}, "23007103": {"hand_A": 1299, "hand_B": 0}}, "pool": {"12540311": {"hand_A": 0, "hand_B": 0}, "12933256": {"hand_A": 101, "hand_B": 0}, "17736741": {"hand_A": 67, "hand_B": 0}, "23007103": {"hand_A": 275, "hand_B": 0}}, "survivor_distance_to_belt_mm_p5_p50_p95": {"hand_A": [32.1, 81.9, 129.1]}, "selected_distance_to_belt_mm_max": 39.8718431655663}, "participating_hands": ["hand_A"], "derived_samples": 441, "observed_object_points": 762, "controls": 30, "controller_initial_distance_m_max": 0.039871843165566294, "selected_controls_per_hand": {"hand_A": 30}}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_argv.json
deleted file mode 100644
index 18576c91356a74f61a15a57a7075b8912c4708d8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_argv.json
+++ /dev/null
@@ -1,28 +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_230338_900969/window_anchor0305-0744",
-    "--session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1",
-    "--participating-hand",
-    "hand_A",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:09:40.160196+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_result.json
deleted file mode 100644
index 7b83b17e1fbc37591c36ed01331b2480df11fd7a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_review_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 250.30757808685303,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks.log
deleted file mode 100644
index 085e4807ca9bc5f0b1280e5b5c08fa761ecc6c2a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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 440 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz
-12933256: saved 440 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz
-17736741: saved 440 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz
-23007103: saved 440 native frames and 5000 joint queries to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks_argv.json
deleted file mode 100644
index a73e93b744bc50415f03f888900f7550c0470dbb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-  "owner_acceptance": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "started_utc": "2026-10-28T17:02:19.995749+00:00"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks_result.json
deleted file mode 100644
index c8079fd79c22326d013a67ef8283d86b2cd60934..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/batch_reference_tapnextpp_tracks_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 240.52926874160767,
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/cameras/12540311/inspection/frames.npz b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/cameras/12540311/inspection/frames.npz
deleted file mode 100644
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@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3c67ab51d0ff4c0c06c6002ea35c1b11bccdff4e6ebf57d9fb5f0bff47c428ba
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--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/cameras/23007103/inspection/frames.npz
+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/per_camera_inputs.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/per_camera_inputs.json
deleted file mode 100644
index 59990cabad25bc161f5dff32eaeae9fb2f99f1d8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/frames_waft/per_camera_inputs.json
+++ /dev/null
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-{
-  "annotation_ns": [
-    1790046253578688599,
-    1790046268267288108
-  ],
-  "anchor_view": 0,
-  "cameras": [
-    {
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-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311"
-    },
-    {
-      "view_index": 1,
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256"
-    },
-    {
-      "view_index": 2,
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741"
-    },
-    {
-      "view_index": 3,
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log
deleted file mode 100644
index d9caa8e512de96ac7b10635922578da24dd88e42..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision.log
+++ /dev/null
@@ -1,44 +0,0 @@
-{
- "populations": {
-  "P_chamfer_targets": 2868,
-  "genuine_t_pairs": 758,
-  "N": 758,
-  "S": 945,
-  "A": 946,
-  "added_surface": 187,
-  "interior": 1,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 30
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- },
- "initialization_groups": {
-  "initialized_original": 758,
-  "in_band_not_initialized": 2098,
-  "outside_initial_band": 12
- },
- "denominators": {
-  "D_C": 2794,
-  "D_T": 724,
-  "rule": "RT-S2, fixed for the whole run; C/T weights unchanged"
- },
- "graph": {
-  "object_springs": 14903,
-  "controller_springs": 796,
-  "object_rest_min_max_m": [
-   0.0003297919756732881,
-   0.01999635435640812
-  ],
-  "controller_rest_min_max_m": [
-   0.002989849541336298,
-   0.0399949811398983
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-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 111,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 796
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json
deleted file mode 100644
index c127b0493ea1872454648c6c36089e5d56373ca5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/supervision"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json
deleted file mode 100644
index 7e758a049882e4a3781788a109a92ff244e6007a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_supervision_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 269.63762669400603
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log
deleted file mode 100644
index 68582ea94ae7b6e9735b222232b621dccb8735f0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3.log
+++ /dev/null
@@ -1,36 +0,0 @@
-{
- "populations": {
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-  "S": 945,
-  "A": 946,
-  "added_surface": 187,
-  "interior": 1,
-  "controls": 30,
-  "controls_by_hand": {
-   "hand_A": 30
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- },
- "denominators": {
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-  "D_M": 724
- },
- "graph": {
-  "object_springs": 14903,
-  "controller_springs": 796,
-  "object_rest_min_max_m": [
-   0.0003297919756732881,
-   0.01999635435640812
-  ],
-  "controller_rest_min_max_m": [
-   0.002989849541336298,
-   0.0399949811398983
-  ],
-  "isolated_object_nodes": 0,
-  "attached_object_nodes": 111,
-  "controls_without_attachment": 0,
-  "attachments_by_hand": {
-   "hand_A": 796
-  }
- },
- "passed": true
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json
deleted file mode 100644
index 2cc93064ab368f904ebe968662b233eda5ff147d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_argv.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json
deleted file mode 100644
index 53ff9cf49cf2b2bd4838f8c7a0fdad91e383d05f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_center_v3_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 2.228849135004566
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json
deleted file mode 100644
index 1f8019fad833f9ec9384cf2b71b08066fa12dcbc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_argv.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_230338_900969/window_anchor0305-0744",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-    "--accepted-prior-manifest-sha256",
-    "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-    "--participating-hand",
-    "hand_A",
-    "--supervision-policy",
-    "initialization_only_mesh_gate_v1",
-    "--mechanical-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/supervision"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json
deleted file mode 100644
index c3e97248eb6cff251e6e203ef6a08b22b0bbf5db..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_supervision_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 399.4576463400008
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json
deleted file mode 100644
index 5c798e938021486223e03009af4a19e15234333e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_argv.json
+++ /dev/null
@@ -1,32 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_230338_900969/window_anchor0305-0744",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-    "--accepted-prior-manifest-sha256",
-    "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-    "--participating-hand",
-    "hand_A",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--mesh-rules",
-    "m2_10mm_centerline_core_v2",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/mechanics_v2"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json
deleted file mode 100644
index d5a850beb437e888a4ad1606d3da481ff9860d0e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v2_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 139.4714807029959
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json
deleted file mode 100644
index 130225b66aaacd0c39314fb4a4b10ddb5d607962..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_argv.json
+++ /dev/null
@@ -1,34 +0,0 @@
-{
-  "argv": [
-    "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-    "/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_230338_900969/window_anchor0305-0744",
-    "--selected-session",
-    "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-    "--selected-frames",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks",
-    "--retained-lifts",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/rt3_lifts/lifted",
-    "--accepted-mesh-sha256",
-    "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-    "--accepted-prior-manifest-sha256",
-    "aefd70fed5f138346defe44e16ef88a3fdccb08e8ac85686390cb451b64b39b6",
-    "--participating-hand",
-    "hand_A",
-    "--mechanical-prior",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--mesh-rules",
-    "m2_10mm_centerline_voxels_v3",
-    "--retained-samples-binding",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/mechanics_v2/mesh/binding.json",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/mechanics_v3"
-  ],
-  "environment": {
-    "CUDA_VISIBLE_DEVICES": ""
-  },
-  "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_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_completion_readback.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_completion_readback.json
deleted file mode 100644
index a434c8de1af5efd0f3050881570b7052ecf8e667..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/mech_v3_completion_readback.json
+++ /dev/null
@@ -1,30 +0,0 @@
-{
-  "verified_utc": "2026-10-28T17:59:06.262985+00:00",
-  "runner_exit_code": 143,
-  "stage_exit_code": null,
-  "cause": "Runner terminated by signal15; initiating source unknown. Stage exit record unavailable.",
-  "status": "complete scientific outputs verified without rerun",
-  "checks": {
-    "raw_samples": "bound hash and full array read passed",
-    "selection": "bound hash and full array read passed",
-    "initial_distances": "bound hash and full array read passed",
-    "association": "bound hash and full array read passed",
-    "controller_gate": "bound hash and full array read passed",
-    "fitting_observations": "bound hash and full array read passed",
-    "raw_v2_sample_arrays_retained_exactly": true,
-    "raw_lineage_note": "Lineage differs as expected: v3 records shared voxel rules and retained_from source; sample arrays are unchanged."
-  },
-  "input_gate_passed": true,
-  "populations": {
-    "N": 758,
-    "S": 945,
-    "A": 946
-  },
-  "source_write_order": "prepare_retained_mesh writes report.json after all bound scientific outputs, then returns the input gate result.",
-  "remaining_stages": [
-    "mech_center_v3",
-    "mech_supervision",
-    "mech_center_supervision"
-  ],
-  "passed": true
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/PRIOR_REVIEW_c6a_v1.md b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/PRIOR_REVIEW_c6a_v1.md
deleted file mode 100644
index cf7aa92b120117539add05c1949704e06fcc3127..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/PRIOR_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,45 +0,0 @@
-# session_20260921_230338_900969 — prior accepted
-
-Saved C2 **orange_round_belt** prior evidence (radius 2.95 mm). **Agent numerical/visual review is complete; owner prior approval was recorded on 2026-10-28.** The projected centerlines and tube silhouettes follow the visible orange loop in all four initial views, with small local edge offsets. The hand-hidden arc and underside remain inferred geometry.
-
-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 / 305 / 306 | [centerline](<../prior_orange_v1/review/spline/centerline_0_with_masks.png>) · [tube](<../prior_orange_v1/review/tube/silhouette_0_unmasked.png>) · [geometry + mask](<../prior_orange_v1/review/tube/silhouette_0_with_masks.png>) · [RGB/depth](<../prior_orange_v1/review/inputs/view_0_12540311.png>) |
-| 12933256 | 0 / 304 / 305 | [centerline](<../prior_orange_v1/review/spline/centerline_1_with_masks.png>) · [tube](<../prior_orange_v1/review/tube/silhouette_1_unmasked.png>) · [geometry + mask](<../prior_orange_v1/review/tube/silhouette_1_with_masks.png>) · [RGB/depth](<../prior_orange_v1/review/inputs/view_1_12933256.png>) |
-| 17736741 | 0 / 305 / 306 | [centerline](<../prior_orange_v1/review/spline/centerline_2_with_masks.png>) · [tube](<../prior_orange_v1/review/tube/silhouette_2_unmasked.png>) · [geometry + mask](<../prior_orange_v1/review/tube/silhouette_2_with_masks.png>) · [RGB/depth](<../prior_orange_v1/review/inputs/view_2_17736741.png>) |
-| 23007103 | 0 / 304 / 305 | [centerline](<../prior_orange_v1/review/spline/centerline_3_with_masks.png>) · [tube](<../prior_orange_v1/review/tube/silhouette_3_unmasked.png>) · [geometry + mask](<../prior_orange_v1/review/tube/silhouette_3_with_masks.png>) · [RGB/depth](<../prior_orange_v1/review/inputs/view_3_23007103.png>) |
-
-[Full rotation video](<../prior_orange_v1/review/tube/orbit.mp4>) · [Geometry and depth cloud](<../prior_orange_v1/review/tube/tube_scale_views.png>) · [Residual histograms](<../prior_orange_v1/review/spline/residual_histograms.png>) · [Depth offset diagnostic](<../prior_orange_v1/review/inputs/depth_offset.png>)
-
-Saved fit: **1 stage-1 round**, stop `gradient_tolerance`; final length **640.020 mm**, maximum curvature **18.590/m**, final gradient norm **5.9177e-05**. Soft length bounds are 635.000–660.000 mm; distance outside those bounds is 0.000 mm.
-
-Saved geometry checks report `passed=True`: **864 mesh vertices / 1728 triangles**, 1 component(s), `watertight=True`, `self_intersecting=False`. [Full geometry checks](<../prior_orange_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 | 5.521 / 9.577 | 99.66% | [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 | 5.499 / 7.570 | 99.43% | [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 | 8.123 / 9.948 | 98.40% | [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 | 6.715 / 8.939 | 99.41% | [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 **15183 of 15890** eroded points. The run used `waft_stereo_dav2l5`, 2 px erosion, a 400-round budget and reprojection weight **4**.
-
-Appearance initialization contains **15183 observed + 51840 mesh-derived = 67023 seeds**. Vertex colors are observed for 599 mesh vertices and median-filled for 265. 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_orange_v1/review/hybrid/combined.png>) · [Observed and filled colors](<../prior_orange_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_orange_v1/manifest.json>) · [Fit settings and metrics](<../prior_orange_v1/steps/fit.json>) · [Reference observations](<../prior_orange_v1/inputs/reference_views.json>) · [Tracking/lift summary](<../review_v1/summary.json>)
-
-**Depth and contact limitation:** the observed cloud is spread laterally and above the fitted tube, with a local higher-z patch in the spatial plots. Minimum tube z is **−0.989 mm** relative to the nominal z=0 table plane. The read-only depth diagnostic gives belt-interior-minus-local-table medians of **9.372, 5.265, 9.158 and 6.046 mm** in the listed camera order. These camera-dependent offsets and the depth spread leave vertical placement and table contact uncertain. No depth correction was applied.
-
-The smooth, nearly planar oval shows no gross crossing, detached component or kink in the inspected views. One round stopped at the configured gradient tolerance; maximum curvature is 18.590/m and 36% of evaluated samples exceed the soft 10/m curvature regularization threshold. That threshold is not a hard acceptance bound, and this review does not establish global optimality. Median-filled colors on the underside and occluded arc are initialization values, not observed texture.
-
-[Agent findings and exact review coverage](<agent_findings.json>) record inspection of all four initial native RGB/mask/occluder/invalid-depth panels, all four centerline overlays, four tube-with-mask plus four unmasked tube overlays, the five spatial/residual/depth/color/hybrid plots linked above, and orbit frames **0, 4, 8, 12, 16, 20, 24, 28, 32** of 36. The orbit displays sampled tube rings/vertices; continuous surface topology is supported by the saved numerical checks, not inferred from that visualization. The prior payload was read only, and the completed temporal-reference review was not repeated.
-
-Owner accepted this exact prior on 2026-10-28 for mechanical input preparation and reference static appearance training. Trained-appearance acceptance and physical fitting remain separate. The agent findings preserve their original pre-approval review time.
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json
deleted file mode 100644
index 844730c5c84cbb49fe46f4af5ff1064c24ce05a6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/agent_findings.json
+++ /dev/null
@@ -1,184 +0,0 @@
-{
-  "case": "session_20260921_230338_900969/window_anchor0305-0744",
-  "reviewed_at_utc": "2026-10-28T17:37:21.536579+00:00",
-  "review_kind": "bounded agent review of the completed C2 orange-round-belt prior",
-  "readiness": "ready_for_owner_prior_review_with_recorded_depth_and_table_plane_limitations",
-  "blocking_findings": [],
-  "owner_prior_approval": "pending; this record does not grant owner acceptance or authorize downstream stages",
-  "scope": {
-    "goal": "Assess saved initial prior geometry and appearance initialization against the native observations.",
-    "done_when": "Four input panels, four centerline overlays, eight tube overlays, five spatial/diagnostic plots and at least eight orbit samples have been inspected and limitations recorded.",
-    "non_goals": [
-      "No prior, tracking, lifting or settings changes or reruns",
-      "No mechanics, static appearance training or physical fitting",
-      "No acceptance or case-status changes"
-    ],
-    "validation": "21 saved images and 9 evenly spaced frames from the 36-frame orbit; saved metrics, fit settings, geometry checks and depth/color reports. The prior payload was read only."
-  },
-  "image_path_base": "../prior_orange_v1/review",
-  "inspected_images": [
-    "inputs/view_0_12540311.png",
-    "inputs/view_1_12933256.png",
-    "inputs/view_2_17736741.png",
-    "inputs/view_3_23007103.png",
-    "spline/centerline_0_with_masks.png",
-    "spline/centerline_1_with_masks.png",
-    "spline/centerline_2_with_masks.png",
-    "spline/centerline_3_with_masks.png",
-    "tube/silhouette_0_with_masks.png",
-    "tube/silhouette_1_with_masks.png",
-    "tube/silhouette_2_with_masks.png",
-    "tube/silhouette_3_with_masks.png",
-    "tube/silhouette_0_unmasked.png",
-    "tube/silhouette_1_unmasked.png",
-    "tube/silhouette_2_unmasked.png",
-    "tube/silhouette_3_unmasked.png",
-    "tube/tube_scale_views.png",
-    "inputs/depth_offset.png",
-    "spline/residual_histograms.png",
-    "colors/visibility_and_fill.png",
-    "hybrid/combined.png"
-  ],
-  "inspected_videos": {
-    "../prior_orange_v1/review/tube/orbit.mp4": {
-      "frame_count": 36,
-      "fps": 12,
-      "duration_s": 3,
-      "visually_inspected_frame_indices": [
-        0,
-        4,
-        8,
-        12,
-        16,
-        20,
-        24,
-        28,
-        32
-      ],
-      "visual_method": "Individual decoded frames at 0.333-second intervals; no continuous-playback claim. The video plots tube rings/vertices rather than a shaded continuous surface."
-    }
-  },
-  "inspected_data": [
-    "prior_metrics.json",
-    "../prior_orange_v1/steps/fit.json",
-    "../prior_orange_v1/spline/spline_fit.json",
-    "../prior_orange_v1/spline/witness.json",
-    "../prior_orange_v1/tube/tube_checks.json",
-    "../prior_orange_v1/inputs/depth_offset_diagnostic.json",
-    "../prior_orange_v1/colors/color_summary.json"
-  ],
-  "saved_metrics": {
-    "radius_mm": 2.9499999999999997,
-    "reprojection_weight": 4.0,
-    "fit_rounds": 1,
-    "fit_stop": "gradient_tolerance",
-    "gradient_norm": 5.917699309065938e-05,
-    "length_mm": 640.0197744369507,
-    "soft_length_bounds_mm": [
-      634.9999904632568,
-      660.0000262260437
-    ],
-    "max_curvature_per_m": 18.589725494384766,
-    "curvature_regularization_threshold_per_m": 10.0,
-    "fraction_above_curvature_regularization_threshold": 0.36,
-    "tube_vertices": 864,
-    "tube_triangles": 1728,
-    "saved_geometry_checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 1.668704307142589e-05,
-      "minimum_outward_normal_dot_m": 0.0028421423179890845,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 8.794837171467035e-09,
-      "maximum_diameter_error_m": 1.758201219857758e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.01427265990989064,
-      "triangle_area_m2": {
-        "min": 5.157579039383711e-06,
-        "median": 6.7428646527948815e-06,
-        "mean": 6.7813282125382675e-06,
-        "max": 8.304900161123297e-06,
-        "density_max_over_min": 1.6102322616301903
-      },
-      "bounds_m": [
-        [
-          -0.02774692326784134,
-          -0.2032533884048462,
-          -0.0009890948422253132
-        ],
-        [
-          0.21154151856899261,
-          -0.022891705855727196,
-          0.007565349340438843
-        ]
-      ],
-      "radius_m": 0.00295,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "passed": true,
-      "orientation_flipped": true
-    },
-    "depth_belt_minus_local_table_mm_by_serial": {
-      "12540311": 9.37155277700713,
-      "12933256": 5.264600075344017,
-      "17736741": 9.157560649502184,
-      "23007103": 6.0464728028572505
-    },
-    "depth_correction_applied": false,
-    "per_view": {
-      "12540311": {
-        "median_centerline_distance_mm": 5.5206334218382835,
-        "p90_centerline_distance_mm": 9.576503932476044,
-        "visible_centerline_inside_mask_fraction": 0.9965753424657534
-      },
-      "12933256": {
-        "median_centerline_distance_mm": 5.499081220477819,
-        "p90_centerline_distance_mm": 7.569953892379999,
-        "visible_centerline_inside_mask_fraction": 0.9942528735632183
-      },
-      "17736741": {
-        "median_centerline_distance_mm": 8.122828789055347,
-        "p90_centerline_distance_mm": 9.948355052620173,
-        "visible_centerline_inside_mask_fraction": 0.983974358974359
-      },
-      "23007103": {
-        "median_centerline_distance_mm": 6.715373136103153,
-        "p90_centerline_distance_mm": 8.938538283109665,
-        "visible_centerline_inside_mask_fraction": 0.9941348973607038
-      }
-    },
-    "appearance_seeds": {
-      "observed": 15183,
-      "mesh": 51840,
-      "total": 67023,
-      "mesh_to_observed": 3.4143449911084764
-    },
-    "vertex_colors": {
-      "observed_vertices": 599,
-      "filled_vertices": 265
-    },
-    "mechanical_population": {
-      "particle_count": null,
-      "total_unit_mass": null,
-      "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
-    }
-  },
-  "observations": [
-    "The four native input panels show one orange oval loop and a local hand-occluded arc. Object masks follow the visible loop, with a narrow visible segment beside the fingers in view2. No conspicuous invalid-depth overlay patch was seen inside the visible belt at displayed resolution.",
-    "All four projected centerlines and tube silhouettes follow the visible orange contour closely. Small local edge offsets remain, including inward placement on portions of the lower/front arc in view1; no gross wrong-loop displacement, crossing, detached component or kink was observed.",
-    "The spatial views and nine orbit samples show a coherent nearly planar oval with small height variation. Saved geometry checks report one watertight component, consistent winding, zero degenerate triangles and no self-intersection; these are saved numerical checks rather than conclusions from the ring-rendered orbit.",
-    "The depth-cloud and hybrid plots show observed points spread laterally and above the fitted tube. A localized higher-z patch is visible in the front/side spatial plots. Centerline residual histograms have tails beyond 10 mm in views 0, 2 and 3; view 2 has the largest median residual, 8.123 mm.",
-    "The color plot distinguishes 599 observed-color vertices from 265 median-filled vertices. The filled population lies mainly on the underside and the occluded arc. Hybrid initialization has 15,183 observed plus 51,840 mesh-derived seeds, total 67,023."
-  ],
-  "limitations": [
-    "The hand-hidden arc and underside remain inferred geometry. Projecting the prior across the hand does not reveal the hidden shape, and filled vertex colors are not observed texture.",
-    "Minimum tube z is -0.989095 mm relative to the nominal z=0 table plane. The read-only depth diagnostic gives belt-interior-minus-local-table medians of 9.372, 5.265, 9.158 and 6.046 mm by listed camera order. Camera-dependent offsets and depth spread leave vertical placement and table contact uncertain; no depth correction was applied.",
-    "The 5.499\u20138.123 mm per-view median 3D residuals are observed-point-to-centerline distances, including tube surface radius and measurement/model differences; they are not ground-truth reconstruction errors. The 98.40\u201399.66 percent centerline-in-mask fractions are not silhouette IoU.",
-    "One optimization round stopped at the configured gradient tolerance. Maximum curvature is 18.590/m and 36 percent of samples exceed the configured 10/m curvature regularization threshold. That threshold is part of the soft loss, not a hard geometry acceptance test, and this review does not establish global optimality.",
-    "The orbit is a sampled vertex/ring plot, not a continuous mesh-surface render. This review samples nine of its 36 frames and does not repeat the already completed temporal-reference review.",
-    "Mesh vertices and appearance seeds are separate populations from mechanical particles. This prior run supplies no post-prior mechanical particle count, unit-mass total, trained appearance or physical-fit result."
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/prior_metrics.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/prior_metrics.json
deleted file mode 100644
index 3dc64373e7d7d7d20302c6d0b54a15067bec89d3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/prior_review_v1/prior_metrics.json
+++ /dev/null
@@ -1,500 +0,0 @@
-{
-  "session_id": "session_20260921_230338_900969",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "owner_prior_approval": "accepted",
-  "visual_quality_assessment": "not performed by this packager",
-  "object": {
-    "name": "orange_round_belt",
-    "representation": "tube",
-    "fitter_source": "spline_estimation.round_belt_backend (accepted A/B priors)",
-    "dimension_source": "owner 2.95 mm cord radius (RP S-E, 2026-09-26)",
-    "radius_m": 0.00295,
-    "ribbon_width_m": null,
-    "step_t": 0.125,
-    "step_angle_deg": 30,
-    "u_resolution": null,
-    "overlap_rule": "ring_separation",
-    "twist_penalty": null
-  },
-  "initial_grid_sample": 0,
-  "views": [
-    {
-      "serial": "12540311",
-      "view_index": 0,
-      "selected_window_local_index": 0,
-      "converted_frame": 305,
-      "native_container_frame": 306,
-      "official_frame": 305,
-      "depth_frame": 305,
-      "capture_timestamp_ns": 1790046253578688599,
-      "device_timestamp_ns": 1790046253536720391,
-      "initial_grid_offset_ms": 0.0,
-      "native_count": 440,
-      "initial_observed_depth_points": 4083,
-      "median_3d_residual_m": 0.0055206334218382835,
-      "p90_3d_residual_m": 0.009576503932476044,
-      "visible_centerline_inside_mask_fraction": 0.9965753424657534,
-      "track_diagnostics": {
-        "T": 440,
-        "queries": 5000,
-        "keyframes": [
-          0,
-          54,
-          80,
-          109,
-          164,
-          219,
-          274,
-          329,
-          384,
-          439
-        ],
-        "source_seed_counts": {
-          "object": 1152,
-          "hand_A": 3848,
-          "hand_B": 0
-        },
-        "tap_visible_fraction_min_mean_max": [
-          0.7852,
-          0.9403604545454546,
-          1.0
-        ],
-        "accepted_object_min_max": [
-          166,
-          628
-        ],
-        "paired_common_min_max": [
-          3706,
-          4464
-        ]
-      },
-      "links": {
-        "centerline_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/spline/centerline_0_with_masks.png",
-        "geometry_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_0_unmasked.png",
-        "geometry_with_mask": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_0_with_masks.png",
-        "initial_rgb_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/inputs/view_0_12540311.png",
-        "native_rgb_depth_video": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12540311/rgb_waft_depth_full_window.mp4",
-        "visibility_certainty": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12540311/12540311_visibility_certainty.png",
-        "support_rejections": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12540311/support_and_rejections.png",
-        "paired_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12540311/paired_depth.png"
-      }
-    },
-    {
-      "serial": "12933256",
-      "view_index": 1,
-      "selected_window_local_index": 0,
-      "converted_frame": 304,
-      "native_container_frame": 305,
-      "official_frame": 304,
-      "depth_frame": 304,
-      "capture_timestamp_ns": 1790046253569807751,
-      "device_timestamp_ns": 1790046253521363637,
-      "initial_grid_offset_ms": 8.880848,
-      "native_count": 440,
-      "initial_observed_depth_points": 4457,
-      "median_3d_residual_m": 0.0054990812204778194,
-      "p90_3d_residual_m": 0.007569953892379999,
-      "visible_centerline_inside_mask_fraction": 0.9942528735632183,
-      "track_diagnostics": {
-        "T": 440,
-        "queries": 5000,
-        "keyframes": [
-          0,
-          54,
-          96,
-          109,
-          164,
-          170,
-          219,
-          274,
-          329,
-          384,
-          439
-        ],
-        "source_seed_counts": {
-          "object": 1798,
-          "hand_A": 3201,
-          "hand_B": 0
-        },
-        "tap_visible_fraction_min_mean_max": [
-          0.9022,
-          0.9472122727272727,
-          1.0
-        ],
-        "accepted_object_min_max": [
-          554,
-          1020
-        ],
-        "paired_common_min_max": [
-          3187,
-          4174
-        ]
-      },
-      "links": {
-        "centerline_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/spline/centerline_1_with_masks.png",
-        "geometry_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_1_unmasked.png",
-        "geometry_with_mask": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_1_with_masks.png",
-        "initial_rgb_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/inputs/view_1_12933256.png",
-        "native_rgb_depth_video": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12933256/rgb_waft_depth_full_window.mp4",
-        "visibility_certainty": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12933256/12933256_visibility_certainty.png",
-        "support_rejections": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12933256/support_and_rejections.png",
-        "paired_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/12933256/paired_depth.png"
-      }
-    },
-    {
-      "serial": "17736741",
-      "view_index": 2,
-      "selected_window_local_index": 0,
-      "converted_frame": 305,
-      "native_container_frame": 306,
-      "official_frame": 305,
-      "depth_frame": 305,
-      "capture_timestamp_ns": 1790046253574614326,
-      "device_timestamp_ns": 1790046253530573964,
-      "initial_grid_offset_ms": 4.074273,
-      "native_count": 440,
-      "initial_observed_depth_points": 4510,
-      "median_3d_residual_m": 0.008122828789055347,
-      "p90_3d_residual_m": 0.009948355052620173,
-      "visible_centerline_inside_mask_fraction": 0.983974358974359,
-      "track_diagnostics": {
-        "T": 440,
-        "queries": 5000,
-        "keyframes": [
-          0,
-          54,
-          80,
-          109,
-          164,
-          219,
-          274,
-          329,
-          384,
-          391,
-          439
-        ],
-        "source_seed_counts": {
-          "object": 1201,
-          "hand_A": 3790,
-          "hand_B": 0
-        },
-        "tap_visible_fraction_min_mean_max": [
-          0.8898,
-          0.9554572727272728,
-          1.0
-        ],
-        "accepted_object_min_max": [
-          289,
-          703
-        ],
-        "paired_common_min_max": [
-          3854,
-          4483
-        ]
-      },
-      "links": {
-        "centerline_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/spline/centerline_2_with_masks.png",
-        "geometry_overlay": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_2_unmasked.png",
-        "geometry_with_mask": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/tube/silhouette_2_with_masks.png",
-        "initial_rgb_depth": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/review/inputs/view_2_17736741.png",
-        "native_rgb_depth_video": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/17736741/rgb_waft_depth_full_window.mp4",
-        "visibility_certainty": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/17736741/17736741_visibility_certainty.png",
-        "support_rejections": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/17736741/support_and_rejections.png",
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-    "particle_count": null,
-    "total_unit_mass": null,
-    "status": "not produced by the prior run; no post-prior mechanics are evaluated here"
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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-    "derived_coverage": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/derived/derived_30hz_xyz.mp4"
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-    "reprojection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1/spline/reprojection.json",
-    "tracking_summary": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/review_v1/summary.json",
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json"
-  },
-  "owner_prior_acceptance": {
-    "owner_text": "Approve 230338\u2019s prior",
-    "question_item_id": "[\"request_user_input_async\",\"call_8806bd1c8c204587891bec2989f5ecdb\",0]",
-    "recorded_utc": "2026-10-28T17:41:45.212956+00:00",
-    "scope": "Accept this reviewed orange-belt prior for mechanical input preparation and reference static appearance training. Trained appearance acceptance and physical fitting remain separate.",
-    "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_orange_v1",
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-    "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/prior_review_v1/PRIOR_REVIEW_c6a_v1.md"
-  },
-  "owner_acceptance_record": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/owner_prior_acceptance_c6a_v1.json"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json
deleted file mode 100644
index 40c679d5b92b8a23210206cf2bcf41534eff9897..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/query_tracks/track_report.json
+++ /dev/null
@@ -1,226 +0,0 @@
-{
-  "inputs": {
-    "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/per_camera_inputs.json"
-  },
-  "mask_signoff": {
-    "12540311": {
-      "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/review_signoff.json",
-      "signoff_sha256": "1ec3bfd4532f7fca65bd4503cc7ecdca058b1a5cf7aa9d26c66d95c3028f95ee",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:27:38Z",
-      "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_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/review_signoff.json",
-      "signoff_sha256": "bbedfbac7bd76fac5073f3546c6c335a5246bd599020b1aa56dd917fe8a00829",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:27:43Z",
-      "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_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/review_signoff.json",
-      "signoff_sha256": "0acf6b832d67bc5b1cd0d1211894be48b826868aa95eb302c92772958c19ba76",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:27:47Z",
-      "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_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/review_signoff.json",
-      "signoff_sha256": "e129d5a0ce4f975bf294c100e3cc619152691b615bbf228e7a550a92eb1d8b09",
-      "reviewed_by": "owner",
-      "decision": "accept",
-      "date": "2026-10-28T16:27:52Z",
-      "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": [
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-      "serial": "12540311",
-      "seed": 20260923,
-      "queries": 5000,
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-      "frame0_status": {
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-        "member": 4943,
-        "no_instance_mask_at_frame0": 35
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft.log b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft.log
deleted file mode 100644
index 6cc048c37168d2e950dbc08434ceefcaf3453bc9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft_argv.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft_argv.json
deleted file mode 100644
index d99d9c02d24fbfcc26f25b5e7f755de8e219d9ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft_result.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft_result.json
deleted file mode 100644
index 5bac64a3e4b5d65cd23d87b9ad94d5f0050c06b6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/select_waft_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 2.155740737915039
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/selected_mask_admission.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/selected_mask_admission.json
deleted file mode 100644
index 2b0070322503ddc78c3b94d96a4bd72702bd066f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/owner_mask_acceptance_c6a_selected_20261028.json",
-  "source_selection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/mask_review_selection.json",
-  "cameras": [
-    {
-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/inspection/frames.npz",
-      "T": 440,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 0,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/review_signoff_occluder.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/inspection/frames.npz",
-      "T": 440,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 0,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/review_signoff_occluder.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/inspection/frames.npz",
-      "T": 440,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 0,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/review_signoff_occluder.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    },
-    {
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/inspection/frames.npz",
-      "T": 440,
-      "roles": {
-        "object": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_A": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "hand_B": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/review_signoff.json",
-          "covered_frames": 440,
-          "visible_frames": 0,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        },
-        "occluder": {
-          "signoff": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/review_signoff_occluder.json",
-          "covered_frames": 440,
-          "visible_frames": 440,
-          "reviewed_pixel_counts_equal": true,
-          "source_segments": 1
-        }
-      }
-    }
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks/track_report.json b/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/native/tapnextpp_tracks/track_report.json
deleted file mode 100644
index 7efb25a8fa52336f40b62d356b53405c78d084a6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/c6a-input-preparation-v1/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_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/per_camera_inputs.json",
-  "selected_frames_sha256": "8ccdd8861e4fcc6695bf5393fe3bbd544969ebf3dad611c0afb0c5e35ebbd251",
-  "selected_session": "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "signed_native_frames": null,
-  "signed_native_frames_sha256": null,
-  "views": [
-    {
-      "crop_xyxy": [
-        444,
-        394,
-        1113,
-        1063
-      ],
-      "frames": 440,
-      "queries": 5000,
-      "saved_query_product_sha256": "6292af1919713cb824125ee73474afa2925f702ab0cd8c142c9748dc37ecbb0f",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/cameras/12540311/inspection/frames.npz",
-      "selected_frames_sha256": "3c67ab51d0ff4c0c06c6002ea35c1b11bccdff4e6ebf57d9fb5f0bff47c428ba",
-      "serial": "12540311",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12540311/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12540311.npz"
-    },
-    {
-      "crop_xyxy": [
-        744,
-        80,
-        1381,
-        717
-      ],
-      "frames": 440,
-      "queries": 5000,
-      "saved_query_product_sha256": "177e82ad5ac36bd1b4231f86a723f63b4dd245fd433dac6bf04ce9edc881795f",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/cameras/12933256/inspection/frames.npz",
-      "selected_frames_sha256": "8ab16fa099c5f33cfaf6e912a6a10f1582f3f33df2c2671b52badac95c7b72c0",
-      "serial": "12933256",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/12933256/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_12933256.npz"
-    },
-    {
-      "crop_xyxy": [
-        532,
-        258,
-        1184,
-        910
-      ],
-      "frames": 440,
-      "queries": 5000,
-      "saved_query_product_sha256": "601f48042e874ee752882173489c91f67c7d05ac773baba25e49042edf935092",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/cameras/17736741/inspection/frames.npz",
-      "selected_frames_sha256": "3e1876f244d3a3dab4e3ce94c977e24b2b84eef9ed2d6ce6ebe2a47c4a00955f",
-      "serial": "17736741",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/17736741/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_17736741.npz"
-    },
-    {
-      "crop_xyxy": [
-        827,
-        80,
-        1368,
-        621
-      ],
-      "frames": 440,
-      "queries": 5000,
-      "saved_query_product_sha256": "2aaa735c1a5ad28802a52ec45dd302b56d2b032999636e390d68a26a3fd8eeb7",
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/frames_waft/cameras/23007103/inspection/frames.npz",
-      "selected_frames_sha256": "1b2c740957c83ff33b23b4c8c02b03af7f2d908422eb5dd614f9b4e2370c7489",
-      "serial": "23007103",
-      "signed_native_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/native_inputs/cameras/23007103/inspection/frames.npz",
-      "track_file": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0305-0744/accepted_input_preparation_c6a_v1/tapnextpp_tracks/tracks_23007103.npz"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/C6A_REVIEW.md b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/C6A_REVIEW.md
deleted file mode 100644
index a6fa6c9efdcce3a3c56393bb1075a6e5e982b310..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/C6A_REVIEW.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# session_20260921_230338_900969: C6a proposal review
-
-**Status: agent proposal; owner mask/window/contact decisions pending.**
-
-Object: taped round belt. Motion: right-handed lift completely off the table, let object pivot relative to grasp and compress against the table, then place down.
-Current packet anchor converted frames: **280–759 inclusive**.
-Current packet endpoint sync timestamps: `1790046252741453604` / `1790046268764897011` ns.
-Participating identities: `hand_A`; A is the right, bracelet-wearing hand, B the left.
-Hands mean visible bare forearm through fingertips, excluding bracelet/sleeve. Occluder means the whole visible person, including clothing, accessories and nonparticipating hands.
-
-C1 evidence: `/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_proposal_c1/proposal.json`.
-
-## Exact own-camera mapping
-
-| Camera | Window-local t | Converted frames | Native container frames | First / last capture timestamp ns |
-|---|---|---|---|---|
-| 12540311 | 0–479 | 280–759 | 281–760 | 1790046252741453604 / 1790046268764897011 |
-| 12933256 | 0–479 | 279–758 | 280–759 | 1790046252729020540 / 1790046268755157236 |
-| 17736741 | 0–479 | 280–759 | 281–760 | 1790046252736850159 / 1790046268759497934 |
-| 23007103 | 0–479 | 279–758 | 280–759 | 1790046252732421055 / 1790046268754263129 |
-
-## Review products
-
-The newest completed media for each view/role currently present are listed below. A correction directory may cover only its changed views/roles; its media_index.json lists the exact coverage. Earlier prompts, propagation runs and media remain on disk. A new correction can make an older media directory historical; use current supplier admission before signoff or downstream processing.
-
-- Views 12540311: [occluder](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_125_accessory_sparse_v1/role_occluder.mp4); [start context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_125_accessory_sparse_v1/boundary_start.mp4), [end context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_125_accessory_sparse_v1/boundary_end.mp4).
-- Views 12540311, 12933256, 17736741, 23007103: [object](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/role_object.mp4), [hand_A](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/role_hand_A.mp4), [hand_B](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/role_hand_B.mp4), [occluder](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/role_occluder.mp4); [start context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/boundary_start.mp4), [end context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2/boundary_end.mp4).
-- Views 17736741: [occluder](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_sparse_v2/role_occluder.mp4); [start context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_sparse_v2/boundary_start.mp4), [end context](/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_sparse_v2/boundary_end.mp4).
-
-## Decisions and downstream boundary
-
-This card records the decisions above and grants no additional stage. Actual owner mask/window decisions must be recorded before final tracking. The three pushes also require an explicit decision about the fixed material-attachment approximation. After prompt corrections, perform fresh current-input admission; an old fitting identity alone does not detect every C1 F3 correction.
-
-C6a review findings and decisions are collected under `lab/c6a_20261027/`; source C1 records and protected A/B inputs remain unchanged.
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01.json
deleted file mode 100644
index 5a6f4bf41f469d718626b14c8c092dc12d3a2864..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01.json
+++ /dev/null
@@ -1,110 +0,0 @@
-{
-  "schema": "real_rgbd_instance_prompt_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "9fd66400bb106084db377a9f458464886c6160d733b85670411f83a1dd111595",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      760
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-    "anchor_time_ns_first_last": [
-      1790046252741453604,
-      1790046268764897011
-    ],
-    "frame_association_mode": "per_camera_native_range"
-  },
-  "serial": "12540311",
-  "view_index": 0,
-  "instance": "hand_A",
-  "frame": {
-    "t": 0,
-    "sync_index": 280,
-    "converted_frame_index": 280,
-    "official_frame_index": 280,
-    "native_container_frame_index": 281,
-    "view_time_ns": 1790046252741453604
-  },
-  "version": 1,
-  "supersedes": null,
-  "image_size_hw": [
-    1080,
-    1920
-  ],
-  "pixel_convention": "native rectified-left pixels: u = column, v = row, integer values at pixel centres",
-  "points_uv": [
-    [
-      605.0,
-      857.0
-    ],
-    [
-      735.0,
-      875.0
-    ],
-    [
-      786.0,
-      930.0
-    ],
-    [
-      678.0,
-      844.0
-    ],
-    [
-      508.0,
-      875.0
-    ],
-    [
-      827.0,
-      863.0
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-  ],
-  "labels": [
-    1,
-    1,
-    1,
-    0,
-    0,
-    0
-  ],
-  "box_uv": [
-    552.0,
-    800.0,
-    850.0,
-    983.0
-  ],
-  "source": "agent:c6a_20261027",
-  "note": "Right bracelet hand: bare forearm through fingertips; bracelet and sleeve excluded. Pinch partly hides orange cord.",
-  "seed_mask_file": "t0000_v01_seed_mask.npz",
-  "seed_mask_sha256": "0cbace280d4a3499aba8e495b762fe109a9db2b92c188fcb0485872a81610acb",
-  "seed_mask_pixels": 27424,
-  "seed_model": {
-    "predictor": "sam2_video_predictor",
-    "config": "configs/sam2.1/sam2.1_hiera_l.yaml",
-    "config_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2/configs/sam2.1/sam2.1_hiera_l.yaml",
-    "checkpoint": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-    "checkpoint_sha256": "2647878d5dfa5098f2f8649825738a9345572bae2d4350a2468587ece47dd318",
-    "sam2_package": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2",
-    "sam2_git": {
-      "commit": "969dad578a42d4c75624f87821497d37aabfbe99",
-      "clean": true
-    },
-    "build": "build_sam2_video_predictor(apply_postprocessing=True)",
-    "fill_hole_area": 0,
-    "binarize_mask_from_pts_for_mem_enc": true,
-    "non_overlap_masks": false,
-    "image_size": 1024,
-    "frame_preprocessing": "decoded native RGB, PIL default resize to image_size^2, /255, ImageNet mean/std (no JPEG)",
-    "coordinate_normalization": "native (u, v) / (W, H) * image_size (normalize_coords=True)",
-    "mask_logit_threshold": 0.0,
-    "autocast": "bfloat16",
-    "tf32": true,
-    "device": "cuda",
-    "torch": "2.11.0+cu128"
-  },
-  "created_utc": "2026-10-27T19:46:33Z"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01_seed_mask.npz
deleted file mode 100644
index 43539b5a9a5a6d055167420e7f607f03f6d6ca1a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_A/t0000_v01_seed_mask.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0cbace280d4a3499aba8e495b762fe109a9db2b92c188fcb0485872a81610acb
-size 1876
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_B/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_B/t0000_v01.json
deleted file mode 100644
index fda89ddec8575229102400ad4ca50e935d2e6662..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/hand_B/t0000_v01.json
+++ /dev/null
@@ -1,56 +0,0 @@
-{
-  "schema": "real_rgbd_instance_prompt_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "9fd66400bb106084db377a9f458464886c6160d733b85670411f83a1dd111595",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      280,
-      760
-    ],
-    "anchor_time_ns_first_last": [
-      1790046252741453604,
-      1790046268764897011
-    ],
-    "frame_association_mode": "per_camera_native_range"
-  },
-  "serial": "12540311",
-  "view_index": 0,
-  "instance": "hand_B",
-  "frame": {
-    "t": 0,
-    "sync_index": 280,
-    "converted_frame_index": 280,
-    "official_frame_index": 280,
-    "native_container_frame_index": 281,
-    "view_time_ns": 1790046252741453604
-  },
-  "version": 1,
-  "supersedes": null,
-  "image_size_hw": [
-    1080,
-    1920
-  ],
-  "pixel_convention": "native rectified-left pixels: u = column, v = row, integer values at pixel centres",
-  "points_uv": [],
-  "labels": [],
-  "box_uv": null,
-  "source": "agent:c6a_20261027",
-  "note": "C1 proposed one-hand episode: nonparticipating physical left hand. Empty controller role for full proposed window; any visible left-hand pixels belong to occluder. Agent proposal, owner review pending.",
-  "seed_mask_file": "t0000_v01_seed_mask.npz",
-  "seed_mask_sha256": "6e854e62e28996ac78abed3a72856e00f27ba852d1e4f076149062d512afe1d0",
-  "seed_mask_pixels": 0,
-  "seed_model": {
-    "predictor": "agent_proposed_absence"
-  },
-  "created_utc": "2026-10-27T19:46:33Z",
-  "reviewed_absence_half_open": [
-    0,
-    480
-  ]
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01.json
deleted file mode 100644
index 3e88aa2952168027f97e831d156c2fa57109aa1e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01.json
+++ /dev/null
@@ -1,115 +0,0 @@
-{
-  "schema": "real_rgbd_instance_prompt_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "9fd66400bb106084db377a9f458464886c6160d733b85670411f83a1dd111595",
-    "serials": [
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-      "23007103"
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-    "view_time_ns": 1790046252741453604
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-  "version": 1,
-  "supersedes": null,
-  "image_size_hw": [
-    1080,
-    1920
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-  "points_uv": [
-    [
-      775.0,
-      648.0
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-    [
-      935.0,
-      750.0
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-    [
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-  "box_uv": [
-    615.0,
-    640.0,
-    946.0,
-    875.0
-  ],
-  "source": "agent:c6a_20261027",
-  "note": "Visible orange cord only; exclude loop interior and grasping fingers. Native source frame 280, proposal-local t0.",
-  "seed_mask_file": "t0000_v01_seed_mask.npz",
-  "seed_mask_sha256": "7dd80b0da599a1c5eac771552bd60cbce2135446d65b67d36c8604d7d9bd4185",
-  "seed_mask_pixels": 8074,
-  "seed_model": {
-    "predictor": "sam2_video_predictor",
-    "config": "configs/sam2.1/sam2.1_hiera_l.yaml",
-    "config_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2/configs/sam2.1/sam2.1_hiera_l.yaml",
-    "checkpoint": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-    "checkpoint_sha256": "2647878d5dfa5098f2f8649825738a9345572bae2d4350a2468587ece47dd318",
-    "sam2_package": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2",
-    "sam2_git": {
-      "commit": "969dad578a42d4c75624f87821497d37aabfbe99",
-      "clean": true
-    },
-    "build": "build_sam2_video_predictor(apply_postprocessing=True)",
-    "fill_hole_area": 0,
-    "binarize_mask_from_pts_for_mem_enc": true,
-    "non_overlap_masks": false,
-    "image_size": 1024,
-    "frame_preprocessing": "decoded native RGB, PIL default resize to image_size^2, /255, ImageNet mean/std (no JPEG)",
-    "coordinate_normalization": "native (u, v) / (W, H) * image_size (normalize_coords=True)",
-    "mask_logit_threshold": 0.0,
-    "autocast": "bfloat16",
-    "tf32": true,
-    "device": "cuda",
-    "torch": "2.11.0+cu128"
-  },
-  "created_utc": "2026-10-27T19:46:33Z"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01_seed_mask.npz
deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/object/t0000_v01_seed_mask.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7dd80b0da599a1c5eac771552bd60cbce2135446d65b67d36c8604d7d9bd4185
-size 2130
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01.json
deleted file mode 100644
index b25a62bf966828a4d074971f24d5e08e0651646a..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01.json
+++ /dev/null
@@ -1,115 +0,0 @@
-{
-  "schema": "real_rgbd_instance_prompt_v1",
-  "binding": {
-    "session_id": "session_20260921_230338_900969",
-    "window_sha256": "9fd66400bb106084db377a9f458464886c6160d733b85670411f83a1dd111595",
-    "serials": [
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-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      280,
-      760
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-    "anchor_time_ns_first_last": [
-      1790046252741453604,
-      1790046268764897011
-    ],
-    "frame_association_mode": "per_camera_native_range"
-  },
-  "serial": "12540311",
-  "view_index": 0,
-  "instance": "occluder",
-  "frame": {
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-    "official_frame_index": 280,
-    "native_container_frame_index": 281,
-    "view_time_ns": 1790046252741453604
-  },
-  "version": 1,
-  "supersedes": null,
-  "image_size_hw": [
-    1080,
-    1920
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-  "pixel_convention": "native rectified-left pixels: u = column, v = row, integer values at pixel centres",
-  "points_uv": [
-    [
-      151.0,
-      906.0
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-    [
-      483.0,
-      863.0
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-    [
-      601.0,
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-  "source": "agent:c6a_20261027",
-  "note": "Whole visible person at t0: right sleeve, bare forearm, bracelet and hand. No visible head at this exact seed frame; later entry requires review.",
-  "seed_mask_file": "t0000_v01_seed_mask.npz",
-  "seed_mask_sha256": "d53944756695f92bacbb6feb31f7460ac46e6a64e4579a863ca0ba9c51f03ff9",
-  "seed_mask_pixels": 137780,
-  "seed_model": {
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-    "config": "configs/sam2.1/sam2.1_hiera_l.yaml",
-    "config_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2/configs/sam2.1/sam2.1_hiera_l.yaml",
-    "checkpoint": "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-    "checkpoint_sha256": "2647878d5dfa5098f2f8649825738a9345572bae2d4350a2468587ece47dd318",
-    "sam2_package": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2",
-    "sam2_git": {
-      "commit": "969dad578a42d4c75624f87821497d37aabfbe99",
-      "clean": true
-    },
-    "build": "build_sam2_video_predictor(apply_postprocessing=True)",
-    "fill_hole_area": 0,
-    "binarize_mask_from_pts_for_mem_enc": true,
-    "non_overlap_masks": false,
-    "image_size": 1024,
-    "frame_preprocessing": "decoded native RGB, PIL default resize to image_size^2, /255, ImageNet mean/std (no JPEG)",
-    "coordinate_normalization": "native (u, v) / (W, H) * image_size (normalize_coords=True)",
-    "mask_logit_threshold": 0.0,
-    "autocast": "bfloat16",
-    "tf32": true,
-    "device": "cuda",
-    "torch": "2.11.0+cu128"
-  },
-  "created_utc": "2026-10-27T19:46:34Z"
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01_seed_mask.npz
deleted file mode 100644
index 1276fa3c33cf404c1189023c5cfc68de40aee4c3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12540311/occluder/t0000_v01_seed_mask.npz
+++ /dev/null
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-{
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-{
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-{
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12933256/occluder/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/12933256/occluder/t0000_v01_seed_mask.npz
deleted file mode 100644
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+++ /dev/null
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-{
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-{
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deleted file mode 100644
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+++ /dev/null
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-{
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-{
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deleted file mode 100644
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deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/17736741/occluder/t0000_v02.json
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-{
-  "schema": "real_rgbd_instance_prompt_v1",
-  "binding": {
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-    "window_sha256": "9fd66400bb106084db377a9f458464886c6160d733b85670411f83a1dd111595",
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-    "sam2_git": {
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-      "clean": true
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-    "build": "build_sam2_video_predictor(apply_postprocessing=True)",
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-    "image_size": 1024,
-    "frame_preprocessing": "decoded native RGB, PIL default resize to image_size^2, /255, ImageNet mean/std (no JPEG)",
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/17736741/occluder/t0000_v02_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/17736741/occluder/t0000_v02_seed_mask.npz
deleted file mode 100644
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/hand_A/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/hand_A/t0000_v01.json
deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/hand_A/t0000_v01.json
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-{
-  "schema": "real_rgbd_instance_prompt_v1",
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-    "config_file": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/segment-anything-2/sam2/configs/sam2.1/sam2.1_hiera_l.yaml",
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/hand_A/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/hand_A/t0000_v01_seed_mask.npz
deleted file mode 100644
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@@ -1,56 +0,0 @@
-{
-  "schema": "real_rgbd_instance_prompt_v1",
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/object/t0000_v01.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/object/t0000_v01.json
deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/object/t0000_v01.json
+++ /dev/null
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-{
-  "schema": "real_rgbd_instance_prompt_v1",
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/object/t0000_v01_seed_mask.npz b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/annotations/prompts/23007103/object/t0000_v01_seed_mask.npz
deleted file mode 100644
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deleted file mode 100644
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-{
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--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/inspect.log
+++ /dev/null
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-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz and /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/inspection.json
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/inspect_command.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/inspect_command.json
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-[
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-{
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/phystwin_window.yaml b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/phystwin_window.yaml
deleted file mode 100644
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+++ /dev/null
@@ -1,90 +0,0 @@
-schema_version: 1
-kind: phystwin_interaction_window
-session:
-  path: /mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969
-  session_id: session_20260921_230338_900969
-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_230338_900969
-    --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: 33432089
-  fps_estimate: 29.911382
-manual_annotation:
-  start_global_timestamp_ns: 1790046252741453604
-  end_global_timestamp_ns: 1790046268764897011
-  start_condition: hand_or_forearm_visible_and_in_contact_with_object
-  end_condition: before_release_or_contact_break
-  expected_visible_hands_or_arms: 1
-  object_description: taped round belt
-  controller_description: 'hand_A = person''s right hand, bracelet; hand_B = left
-    hand. Participating: hand_A'
-  annotator_notes: 'C6a AGENT PROPOSAL, NOT owner accepted. Continue C1 exact proposed
-    interaction. 12933256 zoom: fingertip above loop with gap 264-270, approaching
-    272-276, on the loop from 278 (=anchor 279); anchor view shows fingers over the
-    loop end from 272. 280 = first anchor frame with contact in both opposing views.
-    Same pinch on the same (person-side) point of the loop through on-table grip (~280-340),
-    lift (~340-400), hanging/pivoting carry (~400-500), lowering and compression against
-    the table (~508-628), re-lift (~628-700), set-down (~708-740) and hold. End: 12933256
-    single frames show fingers on the loop through conv 758 (=anchor 759) and the
-    hand lifting with blur at 759 (9.5 ms before anchor 760); anchor shows fingers
-    still curled at 760, hand sliding off at 761-763. 759 = conservative last held
-    frame.'
-resolved_window:
-  start_sync_index: 280
-  end_sync_index_exclusive: 760
-  start_anchor_timestamp_ns: 1790046252741453604
-  end_anchor_timestamp_ns: 1790046268764897011
-  frame_count: 480
-  duration_s: 16.023443
-per_camera_resolution:
-  '12540311':
-    start_source_frame_index: 280
-    end_source_frame_index_exclusive: 760
-    start_source_timestamp_ns: 1790046252741453604
-    end_source_timestamp_ns: 1790046268764897011
-    start_delta_ns: 0
-    end_delta_ns: 0
-  '12933256':
-    start_source_frame_index: 279
-    end_source_frame_index_exclusive: 759
-    start_source_timestamp_ns: 1790046252729020540
-    end_source_timestamp_ns: 1790046268755157236
-    start_delta_ns: -12433064
-    end_delta_ns: -9739775
-  '17736741':
-    start_source_frame_index: 280
-    end_source_frame_index_exclusive: 760
-    start_source_timestamp_ns: 1790046252736850159
-    end_source_timestamp_ns: 1790046268759497934
-    start_delta_ns: -4603445
-    end_delta_ns: -5399077
-  '23007103':
-    start_source_frame_index: 279
-    end_source_frame_index_exclusive: 759
-    start_source_timestamp_ns: 1790046252732421055
-    end_source_timestamp_ns: 1790046268754263129
-    start_delta_ns: -9032549
-    end_delta_ns: -10633882
-validation:
-  within_all_camera_overlap: true
-  start_before_end: true
-  min_abs_camera_delta_ns: 0
-  max_abs_camera_delta_ns: 12433064
-  warnings: []
-created_by: manual
-created_at: '2026-10-27T19:21:51+00:00'
-updated_at: '2026-10-27T19:21:51+00:00'
-
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1.log
deleted file mode 100644
index 4e12354cb757b3a87a66ef9ffd07dd14bd09c7d6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1.log
+++ /dev/null
@@ -1 +0,0 @@
-12540311/occluder t=0: 139327 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_125_accessory_sparse_v1/12540311/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_argv.json
deleted file mode 100644
index 4e796a749cc3374878ec88f060d1148bfc6f718c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_125_accessory_sparse_v1.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_125_accessory_sparse_v1",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--preview-only"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_result.json
deleted file mode 100644
index 69fc14974e84f14c1b758600b84004fb252a980c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_125_accessory_sparse_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 9.380317211151123,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1.log
deleted file mode 100644
index 91dc1f58877c5f95dd9fb389939e8e5cee2f352c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1.log
+++ /dev/null
@@ -1 +0,0 @@
-17736741/occluder t=0: 170503 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v1/17736741/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_argv.json
deleted file mode 100644
index e859b35fe57789ef1553d720bc220cf09f4aeec5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_sparse_v1.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v1",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--preview-only"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_result.json
deleted file mode 100644
index 17873e8a43243262f25f2c377e62f2887bc5df3f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 7.357560634613037,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2.log
deleted file mode 100644
index dd5063d990590c2118a077c090131fe86dfafcf9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2.log
+++ /dev/null
@@ -1 +0,0 @@
-17736741/occluder t=0: 173452 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v2/17736741/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_argv.json
deleted file mode 100644
index bd461692b89b623ce2833ac61ee4d47514a11b15..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_sparse_v2.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v2",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--preview-only"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_result.json
deleted file mode 100644
index 6cb989836cd96dd32acf7c6e27d2289b2eb48d23..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v2_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 7.234131097793579,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3.log
deleted file mode 100644
index 9d29c87af2f31d3fafdd7f331e475cf19c8acc9e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3.log
+++ /dev/null
@@ -1 +0,0 @@
-17736741/occluder t=0: 165643 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v3/17736741/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_argv.json
deleted file mode 100644
index 3febc540d49cb576e20f5292f4f4041783128d11..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_sparse_v3.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_sparse_v3",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--preview-only"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_result.json
deleted file mode 100644
index 281056df2083a65861bc4faf665907ef675e3ea8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_sparse_v3_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 7.298281908035278,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1.log
deleted file mode 100644
index f04757653937744d49aab89b2aa6b0887dbe7d2b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1.log
+++ /dev/null
@@ -1 +0,0 @@
-17736741/occluder t=0: 164003 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_v1/17736741/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_argv.json
deleted file mode 100644
index aecb2f57b3250fbf1051cd6442a0892a8501e87e..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_argv.json
+++ /dev/null
@@ -1,20 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_v1.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_preview_c6a_v1",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--preview-only"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_result.json
deleted file mode 100644
index 43a33d4666ee7fb201d6db05108a9c7518b385e6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/preview_c6a_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 7.48892879486084,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1.log
deleted file mode 100644
index 20a3abb8b2d9160d68189c1e9db2d2295b4ddecc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1.log
+++ /dev/null
@@ -1,3 +0,0 @@
-
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-
propagate in video: 0it [00:00, ?it/s]
propagate in video: 0it [00:00, ?it/s]
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/12540311/occluder/run0002_t0000-0480.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_argv.json
deleted file mode 100644
index 207cf52721466d20b8c082e1377afa4caa08f16c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_argv.json
+++ /dev/null
@@ -1,27 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "12540311",
-  "--instance",
-  "occluder",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a agent correction; no owner acceptance"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_result.json
deleted file mode 100644
index 65925ab08eecf789fc5a7c50b667f8be2161a40f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12540311_occluder_c6a_125_accessory_sparse_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 46.088937759399414,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1.log
deleted file mode 100644
index f169c9e133e4c673cfd31ce1858a9737b0556376..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1.log
+++ /dev/null
@@ -1,3 +0,0 @@
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-
propagate in video: 0it [00:00, ?it/s]
propagate in video: 0it [00:00, ?it/s]
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/12933256/occluder/run0001_t0000-0480.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_argv.json
deleted file mode 100644
index bc485b78748c493e06072ea9729e4de702611ef9..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_argv.json
+++ /dev/null
@@ -1,27 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "12933256",
-  "--instance",
-  "occluder",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a resumed after power interruption; same pinned predictor and prompts; owner acceptance pending"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_result.json
deleted file mode 100644
index 6401d7b46924ffbd2c4791c6e5241b1f8acc29f4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_12933256_c6a_recovery1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 45.752230405807495,
-  "started_unix": 1793134541.306835,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1.log
deleted file mode 100644
index 9bbca7463a567e5b0d64e1897b64eb629883c5d8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1.log
+++ /dev/null
@@ -1,10 +0,0 @@
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-
propagate in video: 0it [00:00, ?it/s]
propagate in video: 0it [00:00, ?it/s]
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/17736741/occluder/run0001_t0000-0480.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_argv.json
deleted file mode 100644
index e15ff0ac3364d64c367a4c8cf75d6b386c7dfae3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_argv.json
+++ /dev/null
@@ -1,33 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "17736741",
-  "--instance",
-  "object",
-  "--instance",
-  "hand_A",
-  "--instance",
-  "hand_B",
-  "--instance",
-  "occluder",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a resumed after power interruption; same pinned predictor and prompts; owner acceptance pending"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_result.json
deleted file mode 100644
index c1e9af5b72f3175d9cbcb73da69791fc84369f73..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_c6a_recovery1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 123.1732189655304,
-  "started_unix": 1793134587.9877183,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2.log
deleted file mode 100644
index 180b943aefac6ba9c48c98e290e6218f22c17723..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2.log
+++ /dev/null
@@ -1,3 +0,0 @@
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-
propagate in video: 0it [00:00, ?it/s]
propagate in video: 0it [00:00, ?it/s]
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/17736741/occluder/run0002_t0000-0480.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_argv.json
deleted file mode 100644
index 4091ae585d1a4da36932025365554763916f4f65..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_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",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "17736741",
-  "--instance",
-  "occluder",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a agent correction; no owner acceptance"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_result.json
deleted file mode 100644
index 7605bf80d62a6534de4ea411f27c3ffba35d5ed8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_17736741_occluder_c6a_sparse_v2_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 39.04318380355835,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1.log
deleted file mode 100644
index 6aef7b4d40c9349a25148fc88d9cb33542535b11..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1.log
+++ /dev/null
@@ -1,10 +0,0 @@
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-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/23007103/object/run0001_t0000-0480.npz
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-
propagate in video: 0it [00:00, ?it/s]
propagate in video: 0it [00:00, ?it/s]
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/23007103/occluder/run0001_t0000-0480.npz
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_argv.json
deleted file mode 100644
index 45ec496191b5de62e7420fb9c7b6ee8837387d60..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_argv.json
+++ /dev/null
@@ -1,33 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "23007103",
-  "--instance",
-  "object",
-  "--instance",
-  "hand_A",
-  "--instance",
-  "hand_B",
-  "--instance",
-  "occluder",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a resumed after power interruption; same pinned predictor and prompts; owner acceptance pending"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_result.json
deleted file mode 100644
index 71dc9c1f7106895d3f32636bfe71eafb0755b717..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_23007103_c6a_recovery1_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 212.72755122184753,
-  "started_unix": 1793134712.1006348,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a.log
deleted file mode 100644
index 3c638bf85fb03144fc61a2acaea4f787981cefd3..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a.log
+++ /dev/null
@@ -1,18 +0,0 @@
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-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/12540311/hand_B/run0001_t0000-0480.npz
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-
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-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/12933256/hand_A/run0001_t0000-0480.npz
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks/12933256/hand_B/run0001_t0000-0480.npz
-
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a_argv.json
deleted file mode 100644
index a0751339ba8f1927e5a9a5cd6ed99248837a7ae2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propagate_c6a_argv.json
+++ /dev/null
@@ -1,31 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propagate",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--view",
-  "12540311",
-  "--view",
-  "12933256",
-  "--view",
-  "17736741",
-  "--view",
-  "23007103",
-  "--t-start",
-  "0",
-  "--t-stop",
-  "480",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda",
-  "--note",
-  "C6a first proposal; pending owner mask/window decisions"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_125_accessory_sparse_v1.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_125_accessory_sparse_v1.json
deleted file mode 100644
index 5068e7b97429665b93519c866ff28ab6beedb9ae..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_125_accessory_sparse_v1.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "12540311",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          151,
-          906
-        ],
-        [
-          742,
-          878
-        ],
-        [
-          676,
-          825
-        ],
-        [
-          678,
-          844
-        ],
-        [
-          670,
-          890
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1
-      ],
-      "box": [
-        0,
-        785,
-        852,
-        1079
-      ],
-      "supersede": true,
-      "note": "Sparse replacement for material near-complete bracelet-band omission in the original t0 occluder. Five native-verified positives: sleeve, hand, upper/central/lower bracelet. Same box/time/role. Root preview required; no multipart union or fill."
-    }
-  ],
-  "notes": "Native RGB, seed overlay and packed seed mask re-inspected2026-10-27. The125 bracelet omission is a broad band;129 has only small highlight/edge residuals and is deliberately unchanged."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v1.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v1.json
deleted file mode 100644
index c35fa47513ed71372c11a536a0f37e5a9759de21..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v1.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          75,
-          516
-        ],
-        [
-          120,
-          650
-        ],
-        [
-          817,
-          720
-        ],
-        [
-          750,
-          658
-        ],
-        [
-          120,
-          140
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        0
-      ],
-      "box": [
-        0,
-        90,
-        919,
-        814
-      ],
-      "note": "Sparse replacement t0 whole-person occluder prompt. Native RGB re-inspected; four positive points prioritize omitted clothing/body, visible person parts and bracelet, with one negative on actual background/robot. Total five points follows owner instruction; use existing SAM2 method with no multipart union. Box preserved from previous correction proposal. Full propagation review and owner mask acceptance remain pending.",
-      "supersede": true
-    }
-  ],
-  "notes": "Owner-directed sparse SAM2 correction, at most five total positive plus negative points per prompt. Case annotations and masks untouched by this draft."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v2.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v2.json
deleted file mode 100644
index ae2de418337c1f6a906f7d0a62aa0ecbeebb2aa6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v2.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          75,
-          516
-        ],
-        [
-          120,
-          650
-        ],
-        [
-          817,
-          720
-        ],
-        [
-          750,
-          658
-        ],
-        [
-          155,
-          610
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1
-      ],
-      "box": [
-        0,
-        90,
-        919,
-        814
-      ],
-      "note": "Sparse replacement t0 whole-person occluder prompt. Native RGB re-inspected; four positive points prioritize omitted clothing/body, visible person parts and bracelet, with one negative on actual background/robot. Total five points follows owner instruction; use existing SAM2 method with no multipart union. Box preserved from previous correction proposal. Full propagation review and owner mask acceptance remain pending. Replace background negative by an observed omitted coat point; still five total points.",
-      "supersede": true
-    }
-  ],
-  "notes": "Owner-directed sparse SAM2 correction, at most five total positive plus negative points per prompt. Case annotations and masks untouched by this draft."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v3.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v3.json
deleted file mode 100644
index ed611de39df9eb472e8fc4ab2dd0fe58f32fdd6c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_sparse_v3.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          765,
-          637
-        ],
-        [
-          120,
-          650
-        ],
-        [
-          817,
-          720
-        ],
-        [
-          746,
-          668
-        ],
-        [
-          155,
-          610
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1
-      ],
-      "box": [
-        0,
-        90,
-        919,
-        814
-      ],
-      "note": "Five positives on lower clothing, hand and two separate visible bracelet links. Replaces sparse v2 because the whole coat improved but a bright bracelet link remained omitted. Same SAM2, no multipart union.",
-      "supersede": true
-    }
-  ],
-  "notes": "Owner-directed sparse SAM2 correction, at most five total positive plus negative points per prompt. Case annotations and masks untouched by this draft."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_v1.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_v1.json
deleted file mode 100644
index 6162a72d89b34a2d9bf324e339572c6447038dc6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_corrections_c6a_v1.json
+++ /dev/null
@@ -1,107 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          24,
-          265
-        ],
-        [
-          33,
-          315
-        ],
-        [
-          75,
-          516
-        ],
-        [
-          370,
-          531
-        ],
-        [
-          585,
-          594
-        ],
-        [
-          693,
-          646
-        ],
-        [
-          817,
-          720
-        ],
-        [
-          421,
-          352
-        ],
-        [
-          856,
-          533
-        ],
-        [
-          950,
-          825
-        ],
-        [
-          150,
-          600
-        ],
-        [
-          120,
-          650
-        ],
-        [
-          70,
-          690
-        ],
-        [
-          12,
-          155
-        ],
-        [
-          120,
-          140
-        ],
-        [
-          200,
-          250
-        ],
-        [
-          60,
-          750
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        0,
-        90,
-        919,
-        814
-      ],
-      "note": "Superseding whole-human t0 occluder: existing mask omits outer black coat panel below sleeve, leaves lower torso holes and clips upper garment fragment at image left. Native1920x1080 source and saved proposal overlay inspected. Include garment panel, sleeve, bare arm, hand and bracelet; exclude static blue backdrop and floor. Proposal only; no owner acceptance."
-    }
-  ],
-  "notes": "Not previewed, applied or propagated. Root owns SAM steps."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_prompts_c6a_v1.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_prompts_c6a_v1.json
deleted file mode 100644
index 7f3923d67f7fdb2148e43134f1aaf01c1453e6c7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/proposal_prompts_c6a_v1.json
+++ /dev/null
@@ -1,631 +0,0 @@
-{
-  "proposer": "c6a_20261027",
-  "prompts": [
-    {
-      "serial": "12540311",
-      "instance": "object",
-      "t": 0,
-      "points": [
-        [
-          775,
-          648
-        ],
-        [
-          935,
-          750
-        ],
-        [
-          626,
-          759
-        ],
-        [
-          859,
-          851
-        ],
-        [
-          780,
-          743
-        ],
-        [
-          749,
-          900
-        ],
-        [
-          959,
-          701
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        615,
-        640,
-        946,
-        875
-      ],
-      "note": "Visible orange cord only; exclude loop interior and grasping fingers. Native source frame 280, proposal-local t0."
-    },
-    {
-      "serial": "12540311",
-      "instance": "hand_A",
-      "t": 0,
-      "points": [
-        [
-          605,
-          857
-        ],
-        [
-          735,
-          875
-        ],
-        [
-          786,
-          930
-        ],
-        [
-          678,
-          844
-        ],
-        [
-          508,
-          875
-        ],
-        [
-          827,
-          863
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        552,
-        800,
-        850,
-        983
-      ],
-      "note": "Right bracelet hand: bare forearm through fingertips; bracelet and sleeve excluded. Pinch partly hides orange cord."
-    },
-    {
-      "serial": "12540311",
-      "instance": "hand_B",
-      "t": 0,
-      "absence_stop": 480,
-      "note": "C1 proposed one-hand episode: nonparticipating physical left hand. Empty controller role for full proposed window; any visible left-hand pixels belong to occluder. Agent proposal, owner review pending."
-    },
-    {
-      "serial": "12540311",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          151,
-          906
-        ],
-        [
-          483,
-          863
-        ],
-        [
-          601,
-          856
-        ],
-        [
-          742,
-          878
-        ],
-        [
-          800,
-          935
-        ],
-        [
-          900,
-          946
-        ],
-        [
-          100,
-          600
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0
-      ],
-      "box": [
-        0,
-        785,
-        852,
-        1079
-      ],
-      "note": "Whole visible person at t0: right sleeve, bare forearm, bracelet and hand. No visible head at this exact seed frame; later entry requires review."
-    },
-    {
-      "serial": "12933256",
-      "instance": "object",
-      "t": 0,
-      "points": [
-        [
-          990,
-          539
-        ],
-        [
-          884,
-          594
-        ],
-        [
-          1025,
-          674
-        ],
-        [
-          1168,
-          607
-        ],
-        [
-          1019,
-          603
-        ],
-        [
-          1135,
-          504
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        0,
-        0
-      ],
-      "box": [
-        875,
-        531,
-        1180,
-        682
-      ],
-      "note": "Visible orange loop, interior and hand excluded. Source frame 279, proposal-local t0."
-    },
-    {
-      "serial": "12933256",
-      "instance": "hand_A",
-      "t": 0,
-      "points": [
-        [
-          1136,
-          498
-        ],
-        [
-          1247,
-          489
-        ],
-        [
-          1087,
-          543
-        ],
-        [
-          1183,
-          507
-        ],
-        [
-          1338,
-          480
-        ],
-        [
-          1157,
-          627
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        1071,
-        439,
-        1303,
-        564
-      ],
-      "note": "Right hand and bare forearm on both sides of bracelet; bracelet and black sleeve excluded."
-    },
-    {
-      "serial": "12933256",
-      "instance": "hand_B",
-      "t": 0,
-      "absence_stop": 480,
-      "note": "C1 proposed one-hand episode: nonparticipating physical left hand. Empty controller role for full proposed window; any visible left-hand pixels belong to occluder. Agent proposal, owner review pending."
-    },
-    {
-      "serial": "12933256",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          1130,
-          495
-        ],
-        [
-          1260,
-          486
-        ],
-        [
-          1420,
-          445
-        ],
-        [
-          1682,
-          335
-        ],
-        [
-          1840,
-          170
-        ],
-        [
-          1132,
-          270
-        ],
-        [
-          1500,
-          595
-        ],
-        [
-          1018,
-          606
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        1068,
-        0,
-        1919,
-        580
-      ],
-      "note": "Whole visible person: sleeve/partial torso and bare forearm through fingertips, including bracelet; exclude robot and wood."
-    },
-    {
-      "serial": "17736741",
-      "instance": "object",
-      "t": 0,
-      "points": [
-        [
-          952,
-          554
-        ],
-        [
-          1099,
-          666
-        ],
-        [
-          961,
-          759
-        ],
-        [
-          825,
-          605
-        ],
-        [
-          952,
-          660
-        ],
-        [
-          842,
-          747
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        0,
-        0
-      ],
-      "box": [
-        808,
-        549,
-        1111,
-        768
-      ],
-      "note": "Visible orange loop only; fingers hide lower-left section. Source frame 280, proposal-local t0."
-    },
-    {
-      "serial": "17736741",
-      "instance": "hand_A",
-      "t": 0,
-      "points": [
-        [
-          681,
-          641
-        ],
-        [
-          801,
-          706
-        ],
-        [
-          852,
-          774
-        ],
-        [
-          750,
-          658
-        ],
-        [
-          609,
-          609
-        ],
-        [
-          961,
-          757
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        629,
-        592,
-        917,
-        813
-      ],
-      "note": "Right hand and exposed forearm; silver bracelet and sleeve excluded."
-    },
-    {
-      "serial": "17736741",
-      "instance": "hand_B",
-      "t": 0,
-      "absence_stop": 480,
-      "note": "C1 proposed one-hand episode: nonparticipating physical left hand. Empty controller role for full proposed window; any visible left-hand pixels belong to occluder. Agent proposal, owner review pending."
-    },
-    {
-      "serial": "17736741",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          24,
-          265
-        ],
-        [
-          33,
-          315
-        ],
-        [
-          75,
-          516
-        ],
-        [
-          370,
-          531
-        ],
-        [
-          585,
-          594
-        ],
-        [
-          693,
-          646
-        ],
-        [
-          817,
-          720
-        ],
-        [
-          421,
-          352
-        ],
-        [
-          856,
-          533
-        ],
-        [
-          950,
-          825
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        0,
-        170,
-        919,
-        814
-      ],
-      "note": "Whole partial person at left edge including upper body fragment, sleeve and right hand; not robot."
-    },
-    {
-      "serial": "23007103",
-      "instance": "object",
-      "t": 0,
-      "points": [
-        [
-          1078,
-          467
-        ],
-        [
-          1179,
-          523
-        ],
-        [
-          1075,
-          576
-        ],
-        [
-          964,
-          520
-        ],
-        [
-          1065,
-          520
-        ],
-        [
-          1026,
-          446
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        0,
-        0
-      ],
-      "box": [
-        957,
-        461,
-        1187,
-        584
-      ],
-      "note": "Visible orange cord only, no loop interior or gripping fingers. Source frame 279, proposal-local t0."
-    },
-    {
-      "serial": "23007103",
-      "instance": "hand_A",
-      "t": 0,
-      "points": [
-        [
-          1048,
-          417
-        ],
-        [
-          1137,
-          361
-        ],
-        [
-          1109,
-          389
-        ],
-        [
-          1180,
-          370
-        ],
-        [
-          993,
-          487
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        975,
-        322,
-        1178,
-        485
-      ],
-      "note": "Right bare forearm and pinching hand; bracelet and black cuff excluded."
-    },
-    {
-      "serial": "23007103",
-      "instance": "hand_B",
-      "t": 0,
-      "absence_stop": 480,
-      "note": "C1 proposed one-hand episode: nonparticipating physical left hand. Empty controller role for full proposed window; any visible left-hand pixels belong to occluder. Agent proposal, owner review pending."
-    },
-    {
-      "serial": "23007103",
-      "instance": "occluder",
-      "t": 0,
-      "points": [
-        [
-          1138,
-          363
-        ],
-        [
-          1054,
-          416
-        ],
-        [
-          1241,
-          282
-        ],
-        [
-          1486,
-          201
-        ],
-        [
-          1590,
-          252
-        ],
-        [
-          1108,
-          275
-        ],
-        [
-          1740,
-          350
-        ],
-        [
-          1078,
-          573
-        ]
-      ],
-      "labels": [
-        1,
-        1,
-        1,
-        1,
-        1,
-        0,
-        0,
-        0
-      ],
-      "box": [
-        970,
-        0,
-        1706,
-        488
-      ],
-      "note": "Whole visible person: torso, right arm/hand and exposed resting left-hand patch at pocket; head is outside this seed frame."
-    }
-  ],
-  "notes": "Native 1920x1080 t0 RGB inspected in all four cameras. C1 280-759 retained; no owner acceptance. Pivot/slip semantics and full-window mask quality still require review."
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a.log
deleted file mode 100644
index 9575add0f43f99d7e4bc93e0f0ba821b05b35de6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a.log
+++ /dev/null
@@ -1,16 +0,0 @@
-12540311/object t=0: 8074 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12540311/object_t0000.png
-12540311/hand_A t=0: 27424 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12540311/hand_A_t0000.png
-12540311/hand_B t=0: 0 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12540311/hand_B_t0000.png
-12540311/occluder t=0: 137780 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12540311/occluder_t0000.png
-12933256/object t=0: 7921 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12933256/object_t0000.png
-12933256/hand_A t=0: 13806 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12933256/hand_A_t0000.png
-12933256/hand_B t=0: 0 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12933256/hand_B_t0000.png
-12933256/occluder t=0: 141349 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/12933256/occluder_t0000.png
-17736741/object t=0: 8641 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/17736741/object_t0000.png
-17736741/hand_A t=0: 25803 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/17736741/hand_A_t0000.png
-17736741/hand_B t=0: 0 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/17736741/hand_B_t0000.png
-17736741/occluder t=0: 159830 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/17736741/occluder_t0000.png
-23007103/object t=0: 4994 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/23007103/object_t0000.png
-23007103/hand_A t=0: 10618 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/23007103/hand_A_t0000.png
-23007103/hand_B t=0: 0 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/23007103/hand_B_t0000.png
-23007103/occluder t=0: 155679 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1/23007103/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1.log
deleted file mode 100644
index c9e6fe14d3375fd24bac9c7d768a1e708741c15f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1.log
+++ /dev/null
@@ -1 +0,0 @@
-12540311/occluder t=0: 139327 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_overlays_c6a_125_accessory_sparse_v1/12540311/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_argv.json
deleted file mode 100644
index 17718ecce2608d5e4528719d87633d7308c61172..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_argv.json
+++ /dev/null
@@ -1,19 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_125_accessory_sparse_v1.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_overlays_c6a_125_accessory_sparse_v1",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_result.json
deleted file mode 100644
index f834a8758525749cbb0c16031abc7285c545b2a1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_125_accessory_sparse_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 8.368605613708496,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_argv.json
deleted file mode 100644
index 22509e95f8d32c6b9d61c0f90049ec813113dfe4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_argv.json
+++ /dev/null
@@ -1,19 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_prompts_c6a_v1.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_overlays_c6a_v1",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_result.json
deleted file mode 100644
index e9eecabd98565ec8fa89fe2f933538c36d9d0e04..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 29.471046686172485,
-  "started_unix": 1793130381.384323,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2.log
deleted file mode 100644
index 5da1c234ca531edf1e8942875b6df6ab40989066..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2.log
+++ /dev/null
@@ -1 +0,0 @@
-17736741/occluder t=0: 173452 seed px -> /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_overlays_c6a_sparse_v2/17736741/occluder_t0000.png
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_argv.json
deleted file mode 100644
index df719913e5808efcef81781fa7d5f3f67bea57e7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_argv.json
+++ /dev/null
@@ -1,19 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "propose",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--proposal",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/proposal_corrections_c6a_sparse_v2.json",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--overlays",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/correction_overlays_c6a_sparse_v2",
-  "--checkpoint",
-  "/mnt/data2/magna/belt_perception/third_party/phystwin_external/checkpoints/sam2.1_hiera_large.pt",
-  "--device",
-  "cuda"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_result.json
deleted file mode 100644
index 67a5041b50f71248b708b9fe2f5753d8fe3d81c8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/propose_c6a_sparse_v2_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 7.254737854003906,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery2_admission.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery2_admission.json
deleted file mode 100644
index 792358cc82ec48ab8d7cacbdcb499833e0573c6b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery2_admission.json
+++ /dev/null
@@ -1,118 +0,0 @@
-{
-  "completed_before_resume": [
-    {
-      "serial": "12540311",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "occluder",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "occluder",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "17736741",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "17736741",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "17736741",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "17736741",
-      "role": "occluder",
-      "supplier_runs": [
-        2
-      ]
-    },
-    {
-      "serial": "23007103",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "23007103",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "23007103",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "23007103",
-      "role": "occluder",
-      "supplier_runs": [
-        1
-      ]
-    }
-  ],
-  "full_current_mask_admission": true,
-  "owner_accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery_admission.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery_admission.json
deleted file mode 100644
index c3d55771e956a1e75262ed6bedb20b5611df91cc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/recovery_admission.json
+++ /dev/null
@@ -1,55 +0,0 @@
-{
-  "completed_before_resume": [
-    {
-      "serial": "12540311",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12540311",
-      "role": "occluder",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "object",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "hand_A",
-      "supplier_runs": [
-        1
-      ]
-    },
-    {
-      "serial": "12933256",
-      "role": "hand_B",
-      "supplier_runs": [
-        1
-      ]
-    }
-  ],
-  "full_current_mask_admission": true,
-  "owner_accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery1_argv.json
deleted file mode 100644
index 46f8311e5175d781810e33a0f4cd1fc121f871e0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery1_argv.json
+++ /dev/null
@@ -1,33 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "review-media",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery1",
-  "--view",
-  "12540311",
-  "--view",
-  "12933256",
-  "--view",
-  "17736741",
-  "--view",
-  "23007103",
-  "--t",
-  "0",
-  "--t",
-  "120",
-  "--t",
-  "240",
-  "--t",
-  "360",
-  "--t",
-  "479"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2.log
deleted file mode 100644
index 4ed77bc33535226ccec76ca9d1e81a0ec28ffc12..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote 4 role videos, 5 sheets and boundary clips to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_argv.json
deleted file mode 100644
index 120662e57f0e3b231385619235d65cff61cd5034..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_argv.json
+++ /dev/null
@@ -1,33 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "review-media",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_recovery2",
-  "--view",
-  "12540311",
-  "--view",
-  "12933256",
-  "--view",
-  "17736741",
-  "--view",
-  "23007103",
-  "--t",
-  "0",
-  "--t",
-  "120",
-  "--t",
-  "240",
-  "--t",
-  "360",
-  "--t",
-  "479"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_result.json
deleted file mode 100644
index d83fbcfd32210055122f3ca303ddd244921f9cae..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review-media_c6a_recovery2_result.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 428.80845952033997,
-  "started_unix": 1793135989.2952096,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1.log
deleted file mode 100644
index 8ab59193e1acf2df425de6bea25c933583854f19..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote 1 role videos, 5 sheets and boundary clips to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_125_accessory_sparse_v1
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_argv.json
deleted file mode 100644
index 3cca78e1bdf04b882b93791754f68d47664242bb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_argv.json
+++ /dev/null
@@ -1,29 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_real_rgbd.py",
-  "review-media",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_125_accessory_sparse_v1",
-  "--view",
-  "12540311",
-  "--instance",
-  "occluder",
-  "--t",
-  "0",
-  "--t",
-  "120",
-  "--t",
-  "240",
-  "--t",
-  "360",
-  "--t",
-  "479"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_result.json
deleted file mode 100644
index 351e54f2fe2764c10c72346e9fe33e6842d96334..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_125_accessory_sparse_v1_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 43.68873715400696,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2.log b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2.log
deleted file mode 100644
index 8af51fd5bf3a2bcd11c0380795ba98a1b9ba4dec..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote 1 role videos, 5 sheets and boundary clips to /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_sparse_v2
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_argv.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_argv.json
deleted file mode 100644
index bd80c7c4641fd98010766c035751d756565f0948..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_argv.json
+++ /dev/null
@@ -1,29 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python",
-  "scripts/phystwin_real_rgbd.py",
-  "review-media",
-  "--session",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--frames",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/inspection/frames.npz",
-  "--annotations",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/annotations",
-  "--masks",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/masks",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/review_media_c6a_sparse_v2",
-  "--view",
-  "17736741",
-  "--instance",
-  "occluder",
-  "--t",
-  "0",
-  "--t",
-  "120",
-  "--t",
-  "240",
-  "--t",
-  "360",
-  "--t",
-  "479"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_result.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_result.json
deleted file mode 100644
index b7dd2baeb50f7ebb2222528e17ffed30626804e1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/review_c6a_sparse_v2_result.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "returncode": 0,
-  "wall_seconds": 37.64790415763855,
-  "accepted": false
-}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/window_command.json b/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/window_command.json
deleted file mode 100644
index e6d86ddf022e4074c33d4aefb265b3fffbe5b507..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/mask-supplier-window-anchor0280-0759/native/window_command.json
+++ /dev/null
@@ -1,22 +0,0 @@
-[
-  "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027/.venv/bin/python3",
-  "scripts/phystwin_annotate_converted_session_window.py",
-  "--session-path",
-  "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230338_900969",
-  "--anchor-serial",
-  "12540311",
-  "--start-timestamp-ns",
-  "1790046252741453604",
-  "--end-timestamp-ns",
-  "1790046268764897011",
-  "--expected-visible-hands-or-arms",
-  "1",
-  "--object-description",
-  "taped round belt",
-  "--controller-description",
-  "hand_A = person's right hand, bracelet; hand_B = left hand. Participating: hand_A",
-  "--notes",
-  "C6a AGENT PROPOSAL, NOT owner accepted. Continue C1 exact proposed interaction. 12933256 zoom: fingertip above loop with gap 264-270, approaching 272-276, on the loop from 278 (=anchor 279); anchor view shows fingers over the loop end from 272. 280 = first anchor frame with contact in both opposing views. Same pinch on the same (person-side) point of the loop through on-table grip (~280-340), lift (~340-400), hanging/pivoting carry (~400-500), lowering and compression against the table (~508-628), re-lift (~628-700), set-down (~708-740) and hold. End: 12933256 single frames show fingers on the loop through conv 758 (=anchor 759) and the hand lifting with blur at 759 (9.5 ms before anchor 760); anchor shows fingers still curled at 760, hand sliding off at 761-763. 759 = conservative last held frame.",
-  "--output-path",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230338_900969/window_anchor0280-0759/phystwin_window.yaml"
-]
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/colors/color_summary.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/colors/color_summary.json
deleted file mode 100644
index ff1083e48a7b8c07f01a0949e1700f06f9f791cc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/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": 329,
-      "projected_inside": 864,
-      "first_hit": 459
-    },
-    {
-      "view": 1,
-      "serial": "12933256",
-      "observed_vertices": 351,
-      "projected_inside": 864,
-      "first_hit": 458
-    },
-    {
-      "view": 2,
-      "serial": "17736741",
-      "observed_vertices": 334,
-      "projected_inside": 864,
-      "first_hit": 460
-    },
-    {
-      "view": 3,
-      "serial": "23007103",
-      "observed_vertices": 336,
-      "projected_inside": 864,
-      "first_hit": 462
-    }
-  ],
-  "observed_vertices": 599,
-  "filled_vertices": 265,
-  "fill_color_rgb": [
-    0.6894239221544157,
-    0.3068748072609609,
-    0.08501200259634674
-  ],
-  "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_230338_900969/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz
deleted file mode 100644
index 0dc6881980ab0321cdb7d8368b95e3a033fcc6ff..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/colors/vertex_colors.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f02883744e259c598f05ec7ff955f6c982868f0215d6bf76c7cca8586749dd12
-size 28680
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz
deleted file mode 100644
index e79da5c3b3854e09ce900dfc8730a56e9d48c351..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/hybrid/populations.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json
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--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/depth_offset_diagnostic.json
+++ /dev/null
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-{
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/observed_cloud.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/observed_cloud.npz
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--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/inputs/reference_views.json
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-{
-  "case": "session_20260921_230338_900969",
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/manifest.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/manifest.json
deleted file mode 100644
index 304161ada486ca050cdf16ae0719cba4ac06301d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/manifest.json
+++ /dev/null
@@ -1,852 +0,0 @@
-{
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-        "two_sided": false,
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-          "colors/color_summary.json": "1c40887ce6a4a0a9a720a6c7cad24690acc139a1aa8b30d8de1f7e1c842da993",
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-      "settings": {
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-        "annulus_px": [
-          20,
-          80
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-      "outputs": {
-        "report": {
-          "annulus_px": [
-            20,
-            80
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-          "interior_erosion_px": 2,
-          "correction_applied": false,
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-          "fitter_source": "spline_estimation.round_belt_backend (accepted A/B priors)",
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-          "direction": "visible mask pixels to projected centerline",
-          "ribbon_twist_stage": null,
-          "mask": "accepted object outside hand/occluder union",
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-{
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-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/filter_removed.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/filter_removed.npz
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json
deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/reprojection.json
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-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/reprojection_residuals.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/reprojection_residuals.npz
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index 80cd91402764fb4baa699d3adf3e3ec25cd0a7f7..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/residuals.npz
+++ /dev/null
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/rounds.jsonl b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/rounds.jsonl
deleted file mode 100644
index 78fd668a0a3b9909223e1afae83b9282468889e5..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/rounds.jsonl
+++ /dev/null
@@ -1 +0,0 @@
-{"loss": 3.7318444810807705e-05, "components": {"distance": 1.9513840015861206e-05, "curvature": 2.0738985995194525e-07, "arclength": 0.0, "mask_reprojection_2d": 1.7597216356080025e-05}, "grad_norm": 5.917699309065938e-05, "arclength_m": 0.6400197744369507, "arclength_bound_active_within_1mm": false, "max_curvature_per_m": 18.589725494384766, "curvature_p50_p90_per_m": [8.535405158996582, 16.200920867919923], "curvature_above_max_fraction": 0.36, "mean_distance_m": 0.00642038067218801, "max_distance_m": 0.015581940300762653, "beyond_2delta_fraction": 0.05795956003424883, "at_cap_fraction": 0.0, "per_view": [{"view": 0, "count": 4083, "median_m": 0.0055206334218382835, "p90_m": 0.009576503932476044, "max_m": 0.014619763009250164, "beyond_2delta_fraction": 0.08180259613029635, "at_cap_fraction": 0.0}, {"view": 1, "count": 4457, "median_m": 0.0054990812204778194, "p90_m": 0.007569953892379999, "max_m": 0.010084941983222961, "beyond_2delta_fraction": 0.0004487323311644604, "at_cap_fraction": 0.0}, {"view": 2, "count": 4510, "median_m": 0.008122828789055347, "p90_m": 0.009948355052620173, "max_m": 0.015581940300762653, "beyond_2delta_fraction": 0.09445676274944567, "at_cap_fraction": 0.0}, {"view": 3, "count": 2133, "median_m": 0.006715373136103153, "p90_m": 0.008938538283109665, "max_m": 0.012418552301824093, "beyond_2delta_fraction": 0.05532114392873887, "at_cap_fraction": 0.0}], "round": 1, "relative_loss_change": 0.9905650209253493}
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json
deleted file mode 100644
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--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_fit.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json
deleted file mode 100644
index c348064b92e4db8a3fa5f4cf9c8f40e549013b51..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/spline/spline_init.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/colors.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/colors.json
deleted file mode 100644
index bfa6ebade0ddfd56f0e097805bb015a0144b9746..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/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": 329,
-        "projected_inside": 864,
-        "first_hit": 459
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-      {
-        "view": 1,
-        "serial": "12933256",
-        "observed_vertices": 351,
-        "projected_inside": 864,
-        "first_hit": 458
-      },
-      {
-        "view": 2,
-        "serial": "17736741",
-        "observed_vertices": 334,
-        "projected_inside": 864,
-        "first_hit": 460
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-      {
-        "view": 3,
-        "serial": "23007103",
-        "observed_vertices": 336,
-        "projected_inside": 864,
-        "first_hit": 462
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-      "vertex_colors_exact": true,
-      "uv_count": 0,
-      "vertex_reordered_on_open3d_load": true
-    },
-    "files": {
-      "colors/vertex_colors.npz": "f02883744e259c598f05ec7ff955f6c982868f0215d6bf76c7cca8586749dd12",
-      "colors/color_summary.json": "1c40887ce6a4a0a9a720a6c7cad24690acc139a1aa8b30d8de1f7e1c842da993",
-      "tube/shape_prior.glb": "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3",
-      "tube/tube.ply": "a584e2e50d61e90127e03a00506dd923abcc281f27edb3918a89a7cdef7d3950",
-      "gaussian_data/session_20260921_230338_900969/shape_prior.glb": "ee9e6311affcc4949fb30e0bd5f90c2e9a848a26e6f53566f6c559eb87ad06d3"
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-  "code": {
-    "commit": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/diagnose-depth.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/diagnose-depth.json
deleted file mode 100644
index bd22cbeda89e148c1dcca0042b9e8834784baffe..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/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": 77573,
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-          "belt_interior_count": 4559,
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-          "belt_interior_count": 4782,
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-          "belt_edge_count": 2444,
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-    "files": {
-      "inputs/depth_offset_diagnostic.json": "32c53da9ef9ee367155473101bf1ab646ace52005513f27db3498000792c71c7"
-    }
-  },
-  "code": {
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-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/fit.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/fit.json
deleted file mode 100644
index 91b76c2579214d53518c842d6e2d304a102fa891..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/fit.json
+++ /dev/null
@@ -1,202 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "object": {
-      "name": "orange_round_belt",
-      "representation": "tube",
-      "fitter_source": "spline_estimation.round_belt_backend (accepted A/B priors)",
-      "dimension_source": "owner 2.95 mm cord radius (RP S-E, 2026-09-26)",
-      "radius_m": 0.00295,
-      "ribbon_width_m": null,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "u_resolution": null,
-      "overlap_rule": "ring_separation",
-      "twist_penalty": null
-    },
-    "max_rounds": 400,
-    "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": null
-    },
-    "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-08,
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-      "curvature_huber_delta": 30.0,
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-      "eval_curvilinear_energy": false,
-      "lambda_curvilinear_energy": 0.001,
-      "eval_length_constraint": true,
-      "lambda_length_constraint": 0.1,
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-        0.6600000262260437
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-    "solver_config": {
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-      "linesearch_type": "zoom",
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-      "grad_norm_tolerance": 0.0001,
-      "max_iter": 25
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-    "ribbon_twist_refinement": null
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-  "outputs": {
-    "filter": {
-      "method": "Open3D.remove_statistical_outlier",
-      "nb_neighbors": 20,
-      "std_ratio": 2.0,
-      "input_count": 15890,
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-    "stop": "gradient_tolerance",
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-    "partial_view_witness": {
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-      "stop": "gradient_tolerance",
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-    "files": {
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diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/hybrid.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/hybrid.json
deleted file mode 100644
index da34ffc6511d35f4523e5fc1f0f775f3aa8bf973..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/hybrid.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
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-      "total": 67023,
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/inputs.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/inputs.json
deleted file mode 100644
index b3c2116a3c237c437de5864148337ddcf54527fb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/inputs.json
+++ /dev/null
@@ -1,216 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "object": "orange_round_belt",
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-      "zed_23007103_depth_waft_stereo_synlarge_dav2l5_zdepth"
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\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/review.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/review.json
deleted file mode 100644
index 95e40173466c8a6d57f4267d492404b76130a9c6..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/review.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
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-    "historical_prior": null,
-    "historical_sha256": null,
-    "baseline_fit": null
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-      "review/spline/round_curves.png": "15bd56e8956bf761274baf90b2353a5765ddef55cb9bab32017e707b80ca33e0",
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-      "review/colors/view_3_visibility.png": "9073f1100f966dfc66a1a95f455112f4c569660e2d555bec1a0d6849df1fa36a",
-      "rerun/appearance_spline_prior.rrd": "136777132eee1805a30d14e15a62a88890a7165a1b4d388c4e6511021586a241"
-    }
-  },
-  "code": {
-    "commit": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 12.882538080215454
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/tube.json b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/tube.json
deleted file mode 100644
index 58014e25824ab301387e173169d0b64eeeb46084..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/steps/tube.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "status": "ok",
-  "settings": {
-    "radius_m": 0.00295,
-    "step_t": 0.125,
-    "step_angle_deg": 30
-  },
-  "outputs": {
-    "checks": {
-      "euler_characteristic": 0,
-      "watertight": true,
-      "components": 1,
-      "winding_consistent": true,
-      "signed_volume_m3": 1.668704307142589e-05,
-      "minimum_outward_normal_dot_m": 0.0028421423179890845,
-      "degenerate_triangles": 0,
-      "self_intersecting": false,
-      "maximum_radius_error_m": 8.794837171467035e-09,
-      "maximum_diameter_error_m": 1.758201219857758e-08,
-      "bishop_seam_error": 5.960464477539063e-08,
-      "minimum_nonadjacent_centerline_distance_m": 0.01427265990989064,
-      "triangle_area_m2": {
-        "min": 5.157579039383711e-06,
-        "median": 6.7428646527948815e-06,
-        "mean": 6.7813282125382675e-06,
-        "max": 8.304900161123297e-06,
-        "density_max_over_min": 1.6102322616301903
-      },
-      "bounds_m": [
-        [
-          -0.02774692326784134,
-          -0.2032533884048462,
-          -0.0009890948422253132
-        ],
-        [
-          0.21154151856899261,
-          -0.022891705855727196,
-          0.007565349340438843
-        ]
-      ],
-      "radius_m": 0.00295,
-      "step_t": 0.125,
-      "step_angle_deg": 30,
-      "passed": true,
-      "orientation_flipped": true
-    },
-    "vertex_count": 864,
-    "triangle_count": 1728,
-    "files": {
-      "tube/tube_checks.json": "0c5db04ee9a26fcdf6078fd2abb1e6c507c696fadf6de22895c41cb6ca2f236c",
-      "tube/triangle_areas.npz": "1ccd4fb79da0cc82f244869f733254695cb85bcde8731758aa6ebd857fd6e874",
-      "tube/geometry.npz": "e52a346b0c5cbab6b9b37f6ae48007725fcb5f0795901463779ebd99c245f6cc"
-    }
-  },
-  "code": {
-    "commit": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5",
-    "u_pin": "81c718790a37e5e0102eb77af2c6edd34a9db25f"
-  },
-  "wall_time_s": 3.274606943130493
-}
\ No newline at end of file
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz
deleted file mode 100644
index 3aad1dd3f96fbb4c4dc8703cba3f99e821dc3469..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/geometry.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e52a346b0c5cbab6b9b37f6ae48007725fcb5f0795901463779ebd99c245f6cc
-size 85676
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz
deleted file mode 100644
index 8c1a9c8b0e05a780305bd48b752df754d98a52e8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/triangle_areas.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1ccd4fb79da0cc82f244869f733254695cb85bcde8731758aa6ebd857fd6e874
-size 14092
diff --git a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/tube.ply b/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/tube.ply
deleted file mode 100644
index a30471c2e397b2dcef774a0930a07043c761b318..0000000000000000000000000000000000000000
Binary files a/sessions/session_20260921_230338_900969/preprocessing/orange-belt-prior-v1/native/tube/tube.ply and /dev/null differ
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/C6A_REVIEW.md b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/C6A_REVIEW.md
deleted file mode 100644
index f82684254375769f582b1ba76d8fad52e1e1e224..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/C6A_REVIEW.md
+++ /dev/null
@@ -1,54 +0,0 @@
-# session_20260921_230446_039759: selected-window mask review
-
-**window, masks, prior and appearance accepted; mechanical inputs complete.**
-
-Owner-selected anchor camera 12540311 converted frames: **282–676 inclusive**.
-Object: taped round belt. Motion: right-handed lift completely off the table on the major axis, allowing object to pivot relative to grasp and compress against the table, then place down.
-Participating controllers: `hand_A`. 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 | 0–394 | 282–676 | 283–677 | 1790046321139557321 / 1790046334324924484 |
-| 12933256 | 0–395 | 282–677 | 283–678 | 1790046321126504280 / 1790046334339578853 |
-| 17736741 | 0–394 | 282–676 | 283–677 | 1790046321143751372 / 1790046334325738383 |
-| 23007103 | 0–394 | 282–676 | 283–677 | 1790046321142648195 / 1790046334324846775 |
-
-[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_230446_039759/window_anchor0256-0682_c6a_recovery2/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.
-
-## Accepted preparation
-
-[Reference observations](accepted_input_preparation_c6a_v1/review_v1/REVIEW.md) · [Accepted prior](accepted_input_preparation_c6a_v1/prior_review_v1/PRIOR_REVIEW_c6a_v1.md) · [Prior acceptance](owner_prior_acceptance_c6a_v1.json). [Mechanical inputs and review](accepted_input_preparation_c6a_v1/supervision/review_c6a_v1/visual_review.txt) are complete: 982 unit-mass particles, all 25 checks passed, and 31 centers below nominal ground retained (minimum −0.839 mm). [Trained appearance and rotation](accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md) await owner acceptance, with the hidden-arc gap and local diffuse protrusions disclosed. No physical fitting has run.
-
-Owner appearance decision: “Accept 230446’s appearance”. [Recorded candidate and scope](owner_appearance_acceptance_c6a_v1.json). Accept the saved trained appearance with documented hidden-grasp gap and diffuse protrusions. Physical fitting remains a separate decision.
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/mask_review_selection.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/mask_review_selection.json
deleted file mode 100644
index 7247845419b4d319980e38f8a4c4106b23e18f23..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/mask_review_selection.json
+++ /dev/null
@@ -1,1721 +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_230446_039759/window_anchor0282-0676/owner_window_decision.json",
-  "previous_packet": {
-    "session_id": "session_20260921_230446_039759",
-    "object": "taped round belt",
-    "motion": "right-handed lift completely off the table on the major axis, allowing object to pivot relative to grasp and compress against the table, then place down",
-    "proposed_anchor_frames": "256-682",
-    "T": "427",
-    "per_camera_counts": "427/427/427/427",
-    "rectangular": "true",
-    "participating_hands": "hand_A",
-    "alternatives": "",
-    "masks": "not yet proposed",
-    "case_dir": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
-    "status": "window proposed; pending owner review",
-    "source_proposal": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_proposal_c1/proposal.json",
-    "current_proposal": {
-      "start_anchor_frame": 256,
-      "end_anchor_frame_inclusive": 682,
-      "start_ns": 1790046320273324755,
-      "end_ns": 1790046334519685694,
-      "rationale": "12933256 zoom: index fingertip reaches the person-side end of the loop (end of the major axis) at conv 252, fingers wrap 254-258, pinch from 260; anchor view shows fingers over that end from 250. 256 = first anchor frame with contact in both views (12933256 conv 256 at -15 ms). Same pinch at the same point through: end lifted while the far end stays on table (~292-340), full lift (~340-400), hanging/pivoting carry (~400-604), lowering with the far end pressed on the table (~612-644), loop placed flat (~652-676) and held. Release: 12933256 pinch intact at conv 682 (=anchor 682, -12.9 ms), hand lifting at 683-684; anchor hand gone by 687. 682 = last held frame."
-    },
-    "amendment": null,
-    "owner_accepted": false,
-    "products": [
-      {
-        "root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
-        "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
-        "serials": [
-          "12540311",
-          "12933256",
-          "17736741",
-          "23007103"
-        ],
-        "T": 427,
-        "use": "rectangular proposed captures"
-      }
-    ],
-    "recovery_previous_case_dirs": [
-      "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682"
-    ],
-    "recovery_reason": "Second power interruption left four initial12540311 prompt JSON and preview files empty; preserved failed attempt, regenerated same proposal/window in a fresh namespace."
-  },
-  "cameras": [
-    {
-      "serial": "12540311",
-      "view_index": 0,
-      "selected_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/12540311/inspection/frames.npz",
-      "source_frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
-      "source_mask_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
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diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/inspection/frames.npz b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/inspection/frames.npz
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--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/inspection/frames.npz
+++ /dev/null
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diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff.json
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--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff.json
+++ /dev/null
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-          "runs": [
-            {
-              "file": "masks/12540311/hand_B/run0001_t0000-0427.npz",
-              "sha256": "b03318207e50640c2f4fddc57b238a9ab5488dafe25fa8f155e98cec02c34d56"
-            }
-          ],
-          "prompts": [
-            {
-              "file": "annotations/prompts/12540311/hand_B/t0000_v01.json",
-              "sha256": "3b1d9279a4293586569196f997b8981f0df8add9413067dfb43d31b854cd3e23"
-            }
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-      ],
-      "covered_frames": 395,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:56Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff_occluder.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff_occluder.json
deleted file mode 100644
index 79e86f5689298ce690c99bc81e1c100cab1e8e40..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12540311/review_signoff_occluder.json
+++ /dev/null
@@ -1,1254 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      676
-    ],
-    "anchor_time_ns_first_last": [
-      1790046321139557321,
-      1790046334324924484
-    ]
-  },
-  "frames_npz_sha256": "a8f9b3ddfac77955491b1396db79476173c70619dc04a36f14a689ef49e87db4",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
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-      "serial": "12540311",
-      "instance": "occluder",
-      "sources": [
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-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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-      "covered_frames": 395,
-      "visible_frames": 395
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-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:27:59Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/inspection/frames.npz b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/inspection/frames.npz
deleted file mode 100644
index a6dc918f0acec298ff8fb26a9dc468ae2b6adfc8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:551f0fff68db32c1e042d82c427919e30b43a09dedd2c8a1d12c2cd4abd2ca20
-size 97480
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff.json
deleted file mode 100644
index 4bcf23fafef2b32f9517323f93241deaec057206..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff.json
+++ /dev/null
@@ -1,3697 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
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-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
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-      "23007103"
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-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
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-      "instance": "object",
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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-          "runs": [
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-              "file": "masks/12933256/hand_B/run0001_t0000-0427.npz",
-              "sha256": "f459557abda67eb923f6f097ff42bb62297b310599461ab2d7ca18eee51b7f66"
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-          "prompts": [
-            {
-              "file": "annotations/prompts/12933256/hand_B/t0000_v01.json",
-              "sha256": "04c0c9b5850a006e08f229c6ab176fa26a9214e4360a8503ab1730227536e733"
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-      ],
-      "covered_frames": 396,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:28:01Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff_occluder.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff_occluder.json
deleted file mode 100644
index 8253b63c4d855637f770a3f5f5999f9925c147ba..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/12933256/review_signoff_occluder.json
+++ /dev/null
@@ -1,1257 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      678
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-    "anchor_time_ns_first_last": [
-      1790046321126504280,
-      1790046334339578853
-    ]
-  },
-  "frames_npz_sha256": "551f0fff68db32c1e042d82c427919e30b43a09dedd2c8a1d12c2cd4abd2ca20",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
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-      "instance": "occluder",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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-              "sha256": "83e734bac355edf69eea4f669a6397c95cf09b01e8cbd4aaed21fa5151013235"
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-      "covered_frames": 396,
-      "visible_frames": 396
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:28:03Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/inspection/frames.npz b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/inspection/frames.npz
deleted file mode 100644
index a5804afa0ab3c005c0125b800206ee2ca579ccfc..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:726b1ca47f6881d5c9b540d95f988487a621a5bea6d70cf0590938c3942c2fe7
-size 97268
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff.json
deleted file mode 100644
index e9c04905dd7adc56c721f076392a6c6d6abb3dc8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff.json
+++ /dev/null
@@ -1,3688 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
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-      "12933256",
-      "17736741",
-      "23007103"
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-      1790046334325738383
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-  "frames_npz_sha256": "726b1ca47f6881d5c9b540d95f988487a621a5bea6d70cf0590938c3942c2fe7",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
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-      "serial": "17736741",
-      "instance": "object",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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-          "runs": [
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-              "file": "masks/17736741/hand_B/run0001_t0000-0427.npz",
-              "sha256": "74b7aad75980e7f1a460213f2e5a1b288e82ebe457fcea5a9d90dd4c7fa45acc"
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-          "prompts": [
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-              "file": "annotations/prompts/17736741/hand_B/t0000_v01.json",
-              "sha256": "90ea81dcfe3e22b0f93d1e29cb3f81614ef99d62619f33a1672d24137a7fef34"
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-      ],
-      "covered_frames": 395,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:28:05Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff_occluder.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff_occluder.json
deleted file mode 100644
index 8322eab21c92f0d10194d8de75d725f837d6b79d..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/17736741/review_signoff_occluder.json
+++ /dev/null
@@ -1,1254 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
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-      676
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-    "anchor_time_ns_first_last": [
-      1790046321143751372,
-      1790046334325738383
-    ]
-  },
-  "frames_npz_sha256": "726b1ca47f6881d5c9b540d95f988487a621a5bea6d70cf0590938c3942c2fe7",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
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-      "instance": "occluder",
-      "sources": [
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-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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-              "file": "masks/17736741/occluder/run0002_t0000-0427.npz",
-              "sha256": "5dd0601f0ea889ad440c4f86f29b8db304815b27a832c09eaa52a02b04ec8377"
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-              "sha256": "e2c58b47f8b63d5d925045dd1daf237771c91ca54e1a586c7b77150914e84aa4"
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-      ],
-      "covered_frames": 395,
-      "visible_frames": 395
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:28:07Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/inspection/frames.npz b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/inspection/frames.npz
deleted file mode 100644
index 029d7534f06159f94a18a4f91c8c0ce036da8ed1..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/inspection/frames.npz
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e38cf680df98f4e053a5fce9a5ed03eb9a32db8dbb4acccffc2972b5a4cc5469
-size 97268
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff.json
deleted file mode 100644
index 53df547b42e04d9dff365ddaedeaa3019e3bc4e2..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff.json
+++ /dev/null
@@ -1,3688 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      281,
-      676
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-    "anchor_time_ns_first_last": [
-      1790046321142648195,
-      1790046334324846775
-    ]
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-  "frames_npz_sha256": "e38cf680df98f4e053a5fce9a5ed03eb9a32db8dbb4acccffc2972b5a4cc5469",
-  "instances": [
-    "object",
-    "hand_A",
-    "hand_B"
-  ],
-  "accepted": [
-    {
-      "serial": "23007103",
-      "instance": "object",
-      "sources": [
-        {
-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
-          "frames_npz_sha256": "86c147eb000d6545f6a9ad803fedd9617821d732946645d536d531ae5d1cb638",
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-          "runs": [
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-              "file": "masks/23007103/hand_B/run0001_t0000-0427.npz",
-              "sha256": "13ce39560fa41c366163dc0321262fb9bf0b6efdce6a7072ea9deb57c561ebf9"
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-          "prompts": [
-            {
-              "file": "annotations/prompts/23007103/hand_B/t0000_v01.json",
-              "sha256": "ec0bf6b7bdce47046c425d155df7fc59acfcd330751beb7c61ca05e9e5c17b22"
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-      ],
-      "covered_frames": 395,
-      "visible_frames": 0
-    }
-  ],
-  "reviewed_by": "owner",
-  "decision": "accept",
-  "date": "2026-10-28T16:28:09Z",
-  "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_230446_039759/window_anchor0282-0676/owner_mask_acceptance_c6a_selected_20261028.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/mask_review_selection.json"
-  ],
-  "code": "5e1b4258a3efb3620c533a4073a37212d8bf9ee5"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff_occluder.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff_occluder.json
deleted file mode 100644
index 56529577b7b72807188357d650dec10626e6b80f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/cameras/23007103/review_signoff_occluder.json
+++ /dev/null
@@ -1,1254 +0,0 @@
-{
-  "kind": "real_rgbd_selected_mask_review_signoff_v1",
-  "binding": {
-    "session_id": "session_20260921_230446_039759",
-    "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-    "serials": [
-      "12540311",
-      "12933256",
-      "17736741",
-      "23007103"
-    ],
-    "sync_index_half_open": [
-      281,
-      676
-    ],
-    "anchor_time_ns_first_last": [
-      1790046321142648195,
-      1790046334324846775
-    ]
-  },
-  "frames_npz_sha256": "e38cf680df98f4e053a5fce9a5ed03eb9a32db8dbb4acccffc2972b5a4cc5469",
-  "instances": [
-    "occluder"
-  ],
-  "accepted": [
-    {
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-      "instance": "occluder",
-      "sources": [
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-          "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2",
-          "frames_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2/inspection/frames.npz",
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diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/inspection.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/inspection.json
deleted file mode 100644
index 655c73ed5958fa5a913237479cafef8786f1ed16..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/inspection.json
+++ /dev/null
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-          "world_T_camera_translation_m": [
-            -0.5916520560802326,
-            -0.6322488212026725,
-            0.5168520851731121
-          ],
-          "depth_unit_m": 0.001,
-          "depth_saturated_raw": 8191
-        }
-      ],
-      "lineage": {
-        "session_id": "session_20260921_230446_039759",
-        "session_path": "/mnt/data2/magna/belt_perception/converted_datasets/sessions/session_20260921_230446_039759",
-        "window_path": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/phystwin_window.yaml",
-        "window_sha256": "3f8dd3e34e290fd515822a46a1a638679cb3caa95ac704c1ed763ee2c76d2e65",
-        "window_resolved": {
-          "duration_s": 13.185367,
-          "end_anchor_timestamp_ns": 1790046334324924484,
-          "end_sync_index_exclusive": 676,
-          "frame_count": 395,
-          "start_anchor_timestamp_ns": 1790046321139557321,
-          "start_sync_index": 281
-        },
-        "manual_annotation_ns": [
-          1790046321139557321,
-          1790046334324924484
-        ],
-        "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_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/per_camera_inputs.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/per_camera_inputs.json
deleted file mode 100644
index 95de18dfa22c3e952cb7bc1b6dab1078b2867dee..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/native_inputs/per_camera_inputs.json
+++ /dev/null
@@ -1,33 +0,0 @@
-{
-  "annotation_ns": [
-    1790046321139557321,
-    1790046334324924484
-  ],
-  "anchor_view": 0,
-  "cameras": [
-    {
-      "view_index": 0,
-      "serial": "12540311",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/12540311/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/12540311"
-    },
-    {
-      "view_index": 1,
-      "serial": "12933256",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/12933256/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/12933256"
-    },
-    {
-      "view_index": 2,
-      "serial": "17736741",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/17736741/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/17736741"
-    },
-    {
-      "view_index": 3,
-      "serial": "23007103",
-      "frames": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/23007103/inspection/frames.npz",
-      "result_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/cameras/23007103"
-    }
-  ]
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_acceptance_c6a_v1.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_acceptance_c6a_v1.json
deleted file mode 100644
index 8d576206ab75be7719d43a96991e736c068e5848..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "Accept 230446\u2019s appearance",
-  "question_item_id": "[\"request_user_input_async\", \"call_363f3b0c175b4b08b51ff778cad2e7b8\", 0]",
-  "recorded_utc": "2026-10-28T19:44:03.334573+00:00",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md",
-  "run_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "f0b223675bf8d9d28f6316f7395e7ed900b2a15252e595aaad6b6eceac01481a",
-  "scope": "Accept the saved trained appearance with documented hidden-grasp gap and diffuse protrusions. Physical fitting remains a separate decision."
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_review_request_c6a_v1.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_review_request_c6a_v1.json
deleted file mode 100644
index e9403c9f76c337d8eed7ae94903e4e19e2cd49ed..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_appearance_review_request_c6a_v1.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "requested_utc": "2026-10-28T18:36:21.652453+00:00",
-  "run_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1",
-  "final_ply": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply",
-  "final_ply_sha256": "f0b223675bf8d9d28f6316f7395e7ed900b2a15252e595aaad6b6eceac01481a",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/APPEARANCE_REVIEW_c6a_v1.md",
-  "owner_decision": "pending",
-  "physical_fitting": "not authorized by appearance acceptance"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_inspect.log b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_inspect.log
deleted file mode 100644
index 942cb5700ea1381cbe53aa8c3a76ee05f20c87fb..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_inspect.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/per_camera_inputs.json and /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs/inspection.json
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_inspect_argv.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_inspect_argv.json
deleted file mode 100644
index ab58be14f2626baf459782cf74303db8f4f5e989..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/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_230446_039759",
-  "--window",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/phystwin_window.yaml",
-  "--per-camera",
-  "--output",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/native_inputs"
-]
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_mask_acceptance_c6a_selected_20261028.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_mask_acceptance_c6a_selected_20261028.json
deleted file mode 100644
index 80ee4b3502214726117f40df4c92adb716e46b2b..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_mask_acceptance_c6a_selected_20261028.json
+++ /dev/null
@@ -1,15 +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": [
-    282,
-    676
-  ],
-  "participating_hands": [
-    "hand_A"
-  ],
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/C6A_REVIEW.md",
-  "review_media": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/review_tiled_c6a_20261028/media_index.json",
-  "selection": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/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_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_acceptance_c6a_v1.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_acceptance_c6a_v1.json
deleted file mode 100644
index 274812b3094ea995708909ad5ca14a303913d2c4..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_acceptance_c6a_v1.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-  "owner_text": "Approve 230446\u2019s prior",
-  "question_item_id": "[\"request_user_input_async\",\"call_5fb6892ea24d4dc3b58915c27098a1f6\",0]",
-  "recorded_utc": "2026-10-28T18:10:57.219123+00:00",
-  "scope": "Accept this reviewed orange-belt prior for mechanical input preparation and reference static appearance training. Trained appearance acceptance and physical fitting remain separate.",
-  "prior_root": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "prior_manifest_sha256": "a3afc1e29fe0e65c8b67efbaf359bbcfca1bbdecff329c28c31358a222ac8033",
-  "mesh_sha256": "4cbeea94486cd2768bf0688215dfb418521c94742674ff5e6820588feb9a07ca",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/prior_review_v1/PRIOR_REVIEW_c6a_v1.md"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_review_request_c6a_v1.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_review_request_c6a_v1.json
deleted file mode 100644
index 7186738792828fcc6cddecc249a7ea67ebf44fc0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_prior_review_request_c6a_v1.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
-  "requested_utc": "2026-10-28T18:08:25.861225+00:00",
-  "prior_run": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/prior_orange_v1",
-  "manifest_sha256": "a3afc1e29fe0e65c8b67efbaf359bbcfca1bbdecff329c28c31358a222ac8033",
-  "mesh_sha256": "4cbeea94486cd2768bf0688215dfb418521c94742674ff5e6820588feb9a07ca",
-  "review_packet": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/prior_review_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"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window.log b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window.log
deleted file mode 100644
index 2853f518e6851a072d87ae674c683da68fa76454..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window.log
+++ /dev/null
@@ -1 +0,0 @@
-Wrote /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/phystwin_window.yaml
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window_argv.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window_argv.json
deleted file mode 100644
index 09cd4d7aacce695a12dda8c2e2fdcadf5a7060db..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/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_230446_039759",
-  "--anchor-serial",
-  "12540311",
-  "--start-timestamp-ns",
-  "1790046321139557321",
-  "--end-timestamp-ns",
-  "1790046334324924484",
-  "--expected-visible-hands-or-arms",
-  "1",
-  "--object-description",
-  "taped round belt",
-  "--controller-description",
-  "hand_A = person's right hand (bracelet); hand_B = person's left hand. Participating: hand_A",
-  "--notes",
-  "Owner selected anchor12540311 converted frames 282-676 inclusive on 2026-10-28. Masks remain unapproved.",
-  "--output-path",
-  "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/phystwin_window.yaml"
-]
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window_decision.json b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/owner_window_decision.json
deleted file mode 100644
index a4f9a0aacaa737003d9c7ee1521897279f1d7f49..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/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": [
-    282,
-    676
-  ],
-  "mask_acceptance": "pending",
-  "previous_case": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0256-0682_c6a_recovery2"
-}
diff --git a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/phystwin_window.yaml b/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/native/phystwin_window.yaml
deleted file mode 100644
index c87a7acbeb52b06fa64d2f68a73f639e785fcbe8..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/annotations/windows/window_anchor0282-0676/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_230446_039759
-  session_id: session_20260921_230446_039759
-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_230446_039759
-    --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: 33438451
-  fps_estimate: 29.905692
-manual_annotation:
-  start_global_timestamp_ns: 1790046321139557321
-  end_global_timestamp_ns: 1790046334324924484
-  start_condition: hand_or_forearm_visible_and_in_contact_with_object
-  end_condition: before_release_or_contact_break
-  expected_visible_hands_or_arms: 1
-  object_description: taped round belt
-  controller_description: 'hand_A = person''s right hand (bracelet); hand_B = person''s
-    left hand. Participating: hand_A'
-  annotator_notes: Owner selected anchor12540311 converted frames 282-676 inclusive
-    on 2026-10-28. Masks remain unapproved.
-resolved_window:
-  start_sync_index: 281
-  end_sync_index_exclusive: 676
-  start_anchor_timestamp_ns: 1790046321139557321
-  end_anchor_timestamp_ns: 1790046334324924484
-  frame_count: 395
-  duration_s: 13.185367
-per_camera_resolution:
-  '12540311':
-    start_source_frame_index: 282
-    end_source_frame_index_exclusive: 677
-    start_source_timestamp_ns: 1790046321139557321
-    end_source_timestamp_ns: 1790046334324924484
-    start_delta_ns: 0
-    end_delta_ns: 0
-  '12933256':
-    start_source_frame_index: 282
-    end_source_frame_index_exclusive: 678
-    start_source_timestamp_ns: 1790046321126504280
-    end_source_timestamp_ns: 1790046334339578853
-    start_delta_ns: -13053041
-    end_delta_ns: 14654369
-  '17736741':
-    start_source_frame_index: 282
-    end_source_frame_index_exclusive: 677
-    start_source_timestamp_ns: 1790046321143751372
-    end_source_timestamp_ns: 1790046334325738383
-    start_delta_ns: 4194051
-    end_delta_ns: 813899
-  '23007103':
-    start_source_frame_index: 282
-    end_source_frame_index_exclusive: 677
-    start_source_timestamp_ns: 1790046321142648195
-    end_source_timestamp_ns: 1790046334324846775
-    start_delta_ns: 3090874
-    end_delta_ns: -77709
-validation:
-  within_all_camera_overlap: true
-  start_before_end: true
-  min_abs_camera_delta_ns: 0
-  max_abs_camera_delta_ns: 14654369
-  warnings: []
-created_by: manual
-created_at: '2026-10-28T14:39:15+00:00'
-updated_at: '2026-10-28T14:39:15+00:00'
-
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md
deleted file mode 100644
index 775a827abcb7cf08d0dd9c2be6fac33886395d36..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/APPEARANCE_REVIEW_c6a_v1.md
+++ /dev/null
@@ -1,32 +0,0 @@
-# 230446: static appearance review
-
-**Status: reference training and agent review complete; owner appearance acceptance pending.**
-
-This appearance uses the accepted 282–676 window, masks and orange prior. It is trained on the four initial reference images with the unchanged recipe: 10,000 loop iterations and 9,999 Gaussian optimizer updates. The prior packet retains each camera’s own capture mapping. This review assesses static appearance only.
-
-[Rotation video](appearance_train_v1/review/novel_view.mp4) · [loss curves](appearance_train_v1/review/loss_curves.png)
-
-- [Camera 12540311: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_0_sheet.png)
-- [Camera 12933256: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_1_sheet.png)
-- [Camera 17736741: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_2_sheet.png)
-- [Camera 23007103: observed/rendered RGB, mask/alpha and depth](appearance_train_v1/review/iteration_10000/view_3_sheet.png)
-
-The visible orange belt contour and purple/grey tape align across all four views. **The hand-hidden grasp arc remains open.** Local diffuse protrusions or blobs beside the gap are strongest in cameras 12540311 and 12933256; 17736741 has smaller rough endpoints, while 23007103 retains a narrow break. The opening and view-dependent fringe persist in the eight sampled rotation views. No overall collapse or broad detached cloud was observed. These limitations are preserved in the saved result.
-
-The black background is an object-only diagnostic render. The raw RGB residual compares against the full scene and is not the masked training objective. The depth panels do not independently establish the hidden geometry or physical hand/table contact.
-
-- Initial hybrid seeds: 68,967. Final saved Gaussians: 71,482; reference export after strict opacity >0.1: 61,802.
-- One isotropic scale column; final spherical-harmonic degree 3.
-- Mean same-view source total: 0.005744945 initially → 0.000201935 at iteration 10000. This averages the source full-image losses over the four training views; final review uses the reference opacity filter. It is not held-out evidence or a physical-accuracy measurement.
-- All arrays in 12 saved view files at iterations 0/7000/10000 and the input, iteration-7000 and final PLY payloads are finite. All three scalar histories cover every step 1–10000 with finite values.
-- Run flags match the reference settings: hybrid initialization, masks, isotropic scales, depth/normal/anisotropic/segmentation weights 0.001/0/0/1, and the recorded native-loader and depth-loss runtime overrides.
-- Check, training and review returned zero; training and review elapsed wall times 448.88 s and 386.08 s include shared resource-lane waiting.
-- [Summary](appearance_train_v1/review/summary.json) · [agent findings and exact coverage](appearance_train_v1/review/agent_findings.json) · [run flags](appearance_train_v1/run_record.json).
-
-The four final sheets, loss curves and orbit frames 0, 25, 50, 75, 100, 125, 150 and 175 of 200 were visually inspected. The curves settle after transients near 3000/6000/9000, consistent with the unchanged source opacity-reset schedule. Sampled inspection is not certification of every orbit frame.
-
-Appearance acceptance is pending. It is separate from prior acceptance and does not authorize physical fitting.
-
-## Owner decision, 2026-10-28
-
-“Accept 230446’s appearance”. Accept the saved trained appearance with documented hidden-grasp gap and diffuse protrusions. Physical fitting remains a separate decision.
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log
deleted file mode 100644
index e3a4c9711da7beba1eb6a2752d1ee8648c0bec72..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1.log
+++ /dev/null
@@ -1,57 +0,0 @@
-Found metadata.json file, assuming customized QQTT dataset! [28/10 14:15:35]
-Init points from pcd... [28/10 14:15:35]
-Init points from mesh... [28/10 14:15:35]
-Loading Training Cameras [28/10 14:15:35]
-Loading Test Cameras [28/10 14:15:35]
-Number of points at initialisation :  68967 [28/10 14:15:35]
-Sampling 100000 points from mesh [28/10 14:15:35]
-{
-  "cameras": [
-    {
-      "id": 0,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 9691,
-      "occlusion_px": 118005,
-      "valid_depth_px": 1979091,
-      "boundary_px": 3830,
-      "projection_max_error_px": 2.1468411289774267e-05
-    },
-    {
-      "id": 1,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 5974,
-      "occlusion_px": 150016,
-      "valid_depth_px": 2027017,
-      "boundary_px": 2606,
-      "projection_max_error_px": 5.002263582438398e-07
-    },
-    {
-      "id": 2,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 9639,
-      "occlusion_px": 192628,
-      "valid_depth_px": 1988018,
-      "boundary_px": 3679,
-      "projection_max_error_px": 5.075107575164883e-06
-    },
-    {
-      "id": 3,
-      "width": 1920,
-      "height": 1080,
-      "object_px": 5224,
-      "occlusion_px": 176657,
-      "valid_depth_px": 1906358,
-      "boundary_px": 2515,
-      "projection_max_error_px": 3.5107102637088016e-06
-    }
-  ],
-  "hybrid": {
-    "vertex_color_branch": true,
-    "mesh": 51840,
-    "observed": 17127,
-    "total": 68967
-  }
-} [28/10 14:15:35]
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json
deleted file mode 100644
index 2ca7ad71085b761eda8e82d023fbebbcb6e6d899..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_argv.json
+++ /dev/null
@@ -1,18 +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_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/prior_orange_v1",
-    "--accepted-prior-manifest-sha256",
-    "a3afc1e29fe0e65c8b67efbaf359bbcfca1bbdecff329c28c31358a222ac8033",
-    "--output",
-    "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_check_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  }
-}
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json
deleted file mode 100644
index 773ad1181b50281a6a096d3f8890eb5df46bcb3c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_check_v1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 278.90026464698894
-}
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1.log b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1.log
deleted file mode 100644
index 2cf44196510369fb037620f824e63d49d37f2ff0..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/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 14:29:19]
-Init points from pcd... [28/10 14:29:19]
-Init points from mesh... [28/10 14:29:19]
-Loading Training Cameras [28/10 14:29:19]
-Loading Test Cameras [28/10 14:29:20]
-Number of points at initialisation :  68967 [28/10 14:29:20]
-Sampling 100000 points from mesh [28/10 14:29:20]
-Loading trained model at iteration 7000 [28/10 14:29:22] [28/10 14:29:22]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 14:29:22] [28/10 14:29:22]
-Init points from pcd... [28/10 14:29:22] [28/10 14:29:22]
-Init points from mesh... [28/10 14:29:22] [28/10 14:29:22]
-Loading Training Cameras [28/10 14:29:22] [28/10 14:29:22]
-Loading Test Cameras [28/10 14:29:22] [28/10 14:29:22]
-Sampling 100000 points from mesh [28/10 14:29:22] [28/10 14:29:22]
-Loading trained model at iteration 10000 [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Init points from pcd... [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Init points from mesh... [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Loading Training Cameras [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Loading Test Cameras [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-Sampling 100000 points from mesh [28/10 14:29:24] [28/10 14:29:24] [28/10 14:29:24]
-{
-  "snapshots": [
-    "0",
-    "7000",
-    "10000"
-  ],
-  "review": "/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/review"
-} [28/10 14:29:30] [28/10 14:29:30] [28/10 14:29:30]
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json
deleted file mode 100644
index 6c841053a1992b0f122d9f31f068956c49573020..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_argv.json
+++ /dev/null
@@ -1,13 +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_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1"
-  ],
-  "cwd": "/mnt/data0/magna/belt_perception_wt_c6a_lab_input_preparation_20261027",
-  "environment": {
-    "PYTHONDONTWRITEBYTECODE": "1",
-    "MPLBACKEND": "Agg"
-  }
-}
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json
deleted file mode 100644
index de686ba6283ea67b70c487a9586e7a75a6124786..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_review_v1_result.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
-  "returncode": 0,
-  "elapsed_s": 386.07725234600366
-}
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log
deleted file mode 100644
index af3c9c3ddf4c87ecb46543171e94cb774be9fa3c..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1.log
+++ /dev/null
@@ -1,19 +0,0 @@
-Optimizing /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/model
-Output folder: /mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/model [28/10 14:21:02]
-Found metadata.json file, assuming customized QQTT dataset! [28/10 14:21:02]
-Init points from pcd... [28/10 14:21:03]
-Init points from mesh... [28/10 14:21:03]
-Loading Training Cameras [28/10 14:21:03]
-Loading Test Cameras [28/10 14:21:03]
-Number of points at initialisation :  68967 [28/10 14:21:03]
-Sampling 100000 points from mesh [28/10 14:21:03]
-
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=0.00484, L1 Loss=0.00087, Depth Loss=0.00383, Normal Loss=0.00000, Seg Loss=0.00271, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:47, 18.93it/s, Loss=0.00484, L1 Loss=0.00087, Depth Loss=0.00383, Normal Loss=0.00000, Seg Loss=0.00271, Anisotropic Loss=0.00000]
Training progress:   0%|          | 10/10000 [00:00<08:47, 18.93it/s, Loss=0.00369, L1 Loss=0.00065, Depth Loss=0.00329, Normal Loss=0.00000, Seg Loss=0.00211, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:50, 34.38it/s, Loss=0.00369, L1 Loss=0.00065, Depth Loss=0.00329, Normal Loss=0.00000, Seg Loss=0.00211, Anisotropic Loss=0.00000]
Training progress:   0%|          | 20/10000 [00:00<04:50, 34.38it/s, Loss=0.00281, L1 Loss=0.00052, Depth Loss=0.00190, Normal Loss=0.00000, Seg Loss=0.00157, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:31, 47.16it/s, Loss=0.00281, L1 Loss=0.00052, Depth Loss=0.00190, Normal Loss=0.00000, Seg Loss=0.00157, Anisotropic Loss=0.00000]
Training progress:   0%|          | 30/10000 [00:00<03:31, 47.16it/s, Loss=0.00234, L1 Loss=0.00040, Depth Loss=0.00166, Normal Loss=0.00000, Seg Loss=0.00113, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:00<02:54, 57.11it/s, Loss=0.00234, L1 Loss=0.00040, Depth Loss=0.00166, Normal Loss=0.00000, Seg Loss=0.00113, Anisotropic Loss=0.00000]
Training progress:   0%|          | 40/10000 [00:01<02:54, 57.11it/s, Loss=0.00214, L1 Loss=0.00045, Depth Loss=0.00227, Normal Loss=0.00000, Seg Loss=0.00132, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:34, 64.56it/s, Loss=0.00214, L1 Loss=0.00045, Depth Loss=0.00227, Normal Loss=0.00000, Seg Loss=0.00132, Anisotropic Loss=0.00000]
Training progress:   0%|          | 50/10000 [00:01<02:34, 64.56it/s, Loss=0.00187, L1 Loss=0.00040, Depth Loss=0.00137, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:22, 69.90it/s, Loss=0.00187, L1 Loss=0.00040, Depth Loss=0.00137, Normal Loss=0.00000, Seg Loss=0.00096, Anisotropic Loss=0.00000]
Training progress:   1%|          | 60/10000 [00:01<02:22, 69.90it/s, Loss=0.00154, L1 Loss=0.00035, Depth Loss=0.00110, Normal Loss=0.00000, Seg Loss=0.00076, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:14, 74.09it/s, Loss=0.00154, L1 Loss=0.00035, Depth Loss=0.00110, Normal Loss=0.00000, Seg Loss=0.00076, Anisotropic Loss=0.00000]
Training progress:   1%|          | 70/10000 [00:01<02:14, 74.09it/s, Loss=0.00159, L1 Loss=0.00035, Depth Loss=0.00127, Normal Loss=0.00000, Seg Loss=0.00099, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:08, 76.97it/s, Loss=0.00159, L1 Loss=0.00035, Depth Loss=0.00127, Normal Loss=0.00000, Seg Loss=0.00099, Anisotropic Loss=0.00000]
Training progress:   1%|          | 80/10000 [00:01<02:08, 76.97it/s, Loss=0.00151, L1 Loss=0.00033, Depth Loss=0.00119, Normal Loss=0.00000, Seg Loss=0.00092, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:05, 78.96it/s, Loss=0.00151, L1 Loss=0.00033, Depth Loss=0.00119, Normal Loss=0.00000, Seg Loss=0.00092, Anisotropic Loss=0.00000]
Training progress:   1%|          | 90/10000 [00:01<02:05, 78.96it/s, Loss=0.00146, L1 Loss=0.00031, Depth Loss=0.00145, Normal Loss=0.00000, Seg Loss=0.00084, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:02, 80.67it/s, Loss=0.00146, L1 Loss=0.00031, Depth Loss=0.00145, Normal Loss=0.00000, Seg Loss=0.00084, Anisotropic Loss=0.00000]
Training progress:   1%|          | 100/10000 [00:01<02:02, 80.67it/s, Loss=0.00120, L1 Loss=0.00029, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:00, 81.81it/s, Loss=0.00120, L1 Loss=0.00029, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|          | 110/10000 [00:01<02:00, 81.81it/s, Loss=0.00124, L1 Loss=0.00029, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:00, 82.32it/s, Loss=0.00124, L1 Loss=0.00029, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00056, Anisotropic Loss=0.00000]
Training progress:   1%|          | 120/10000 [00:01<02:00, 82.32it/s, Loss=0.00119, L1 Loss=0.00030, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:01<01:58, 82.96it/s, Loss=0.00119, L1 Loss=0.00030, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 130/10000 [00:02<01:58, 82.96it/s, Loss=0.00118, L1 Loss=0.00027, Depth Loss=0.00092, Normal Loss=0.00000, Seg Loss=0.00068, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<01:58, 83.31it/s, Loss=0.00118, L1 Loss=0.00027, Depth Loss=0.00092, Normal Loss=0.00000, Seg Loss=0.00068, Anisotropic Loss=0.00000]
Training progress:   1%|▏         | 140/10000 [00:02<01:58, 83.31it/s, Loss=0.00114, L1 Loss=0.00030, Depth Loss=0.00093, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<01:58, 83.44it/s, Loss=0.00114, L1 Loss=0.00030, Depth Loss=0.00093, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 150/10000 [00:02<01:58, 83.44it/s, Loss=0.00112, L1 Loss=0.00030, Depth Loss=0.00095, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<01:57, 83.79it/s, Loss=0.00112, L1 Loss=0.00030, Depth Loss=0.00095, Normal Loss=0.00000, Seg Loss=0.00058, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 160/10000 [00:02<01:57, 83.79it/s, Loss=0.00103, L1 Loss=0.00023, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<01:57, 83.53it/s, Loss=0.00103, L1 Loss=0.00023, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 170/10000 [00:02<01:57, 83.53it/s, Loss=0.00104, L1 Loss=0.00029, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<01:57, 83.83it/s, Loss=0.00104, L1 Loss=0.00029, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00055, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 180/10000 [00:02<01:57, 83.83it/s, Loss=0.00100, L1 Loss=0.00027, Depth Loss=0.00089, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<01:56, 84.23it/s, Loss=0.00100, L1 Loss=0.00027, Depth Loss=0.00089, Normal Loss=0.00000, Seg Loss=0.00050, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 190/10000 [00:02<01:56, 84.23it/s, Loss=0.00100, L1 Loss=0.00023, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:02<01:56, 84.29it/s, Loss=0.00100, L1 Loss=0.00023, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00054, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 200/10000 [00:02<01:56, 84.29it/s, Loss=0.00092, L1 Loss=0.00026, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:02<01:56, 84.37it/s, Loss=0.00092, L1 Loss=0.00026, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 210/10000 [00:03<01:56, 84.37it/s, Loss=0.00092, L1 Loss=0.00027, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<01:55, 84.41it/s, Loss=0.00092, L1 Loss=0.00027, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 220/10000 [00:03<01:55, 84.41it/s, Loss=0.00088, L1 Loss=0.00020, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<01:55, 84.50it/s, Loss=0.00088, L1 Loss=0.00020, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 230/10000 [00:03<01:55, 84.50it/s, Loss=0.00090, L1 Loss=0.00021, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<01:55, 84.64it/s, Loss=0.00090, L1 Loss=0.00021, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00049, Anisotropic Loss=0.00000]
Training progress:   2%|▏         | 240/10000 [00:03<01:55, 84.64it/s, Loss=0.00086, L1 Loss=0.00019, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<01:55, 84.52it/s, Loss=0.00086, L1 Loss=0.00019, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   2%|▎         | 250/10000 [00:03<01:55, 84.52it/s, Loss=0.00091, L1 Loss=0.00027, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<01:55, 84.49it/s, Loss=0.00091, L1 Loss=0.00027, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00043, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 260/10000 [00:03<01:55, 84.49it/s, Loss=0.00085, L1 Loss=0.00026, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<01:55, 84.42it/s, Loss=0.00085, L1 Loss=0.00026, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 270/10000 [00:03<01:55, 84.42it/s, Loss=0.00087, L1 Loss=0.00020, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:03<01:55, 84.39it/s, Loss=0.00087, L1 Loss=0.00020, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00045, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 280/10000 [00:03<01:55, 84.39it/s, Loss=0.00083, L1 Loss=0.00019, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:03<01:54, 84.44it/s, Loss=0.00083, L1 Loss=0.00019, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 290/10000 [00:03<01:54, 84.44it/s, Loss=0.00083, L1 Loss=0.00020, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:03<01:54, 84.56it/s, Loss=0.00083, L1 Loss=0.00020, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 300/10000 [00:04<01:54, 84.56it/s, Loss=0.00078, L1 Loss=0.00025, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<01:54, 84.68it/s, Loss=0.00078, L1 Loss=0.00025, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 310/10000 [00:04<01:54, 84.68it/s, Loss=0.00083, L1 Loss=0.00026, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<01:54, 84.55it/s, Loss=0.00083, L1 Loss=0.00026, Depth Loss=0.00091, Normal Loss=0.00000, Seg Loss=0.00047, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 320/10000 [00:04<01:54, 84.55it/s, Loss=0.00079, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<01:54, 84.60it/s, Loss=0.00079, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 330/10000 [00:04<01:54, 84.60it/s, Loss=0.00080, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<01:54, 84.46it/s, Loss=0.00080, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   3%|▎         | 340/10000 [00:04<01:54, 84.46it/s, Loss=0.00079, L1 Loss=0.00024, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<01:53, 84.80it/s, Loss=0.00079, L1 Loss=0.00024, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00042, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 350/10000 [00:04<01:53, 84.80it/s, Loss=0.00078, L1 Loss=0.00026, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:04<01:54, 84.55it/s, Loss=0.00078, L1 Loss=0.00026, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 360/10000 [00:04<01:54, 84.55it/s, Loss=0.00070, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:04<01:53, 84.70it/s, Loss=0.00070, L1 Loss=0.00017, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   4%|▎         | 370/10000 [00:04<01:53, 84.70it/s, Loss=0.00074, L1 Loss=0.00018, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:04<01:53, 84.70it/s, Loss=0.00074, L1 Loss=0.00018, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 380/10000 [00:05<01:53, 84.70it/s, Loss=0.00077, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<01:53, 84.88it/s, Loss=0.00077, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 390/10000 [00:05<01:53, 84.88it/s, Loss=0.00073, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<01:53, 84.67it/s, Loss=0.00073, L1 Loss=0.00018, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 400/10000 [00:05<01:53, 84.67it/s, Loss=0.00069, L1 Loss=0.00024, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<01:53, 84.64it/s, Loss=0.00069, L1 Loss=0.00024, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 410/10000 [00:05<01:53, 84.64it/s, Loss=0.00071, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<01:53, 84.72it/s, Loss=0.00071, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 420/10000 [00:05<01:53, 84.72it/s, Loss=0.00071, L1 Loss=0.00016, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:05<01:52, 84.75it/s, Loss=0.00071, L1 Loss=0.00016, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 430/10000 [00:05<01:52, 84.75it/s, Loss=0.00077, L1 Loss=0.00018, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:05<01:52, 84.67it/s, Loss=0.00077, L1 Loss=0.00018, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00039, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 440/10000 [00:05<01:52, 84.67it/s, Loss=0.00072, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:05<01:52, 84.74it/s, Loss=0.00072, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   4%|▍         | 450/10000 [00:05<01:52, 84.74it/s, Loss=0.00073, L1 Loss=0.00019, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:05<01:52, 84.84it/s, Loss=0.00073, L1 Loss=0.00019, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 460/10000 [00:05<01:52, 84.84it/s, Loss=0.00066, L1 Loss=0.00016, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:05<01:52, 84.78it/s, Loss=0.00066, L1 Loss=0.00016, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 470/10000 [00:06<01:52, 84.78it/s, Loss=0.00071, L1 Loss=0.00023, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<01:52, 84.76it/s, Loss=0.00071, L1 Loss=0.00023, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 480/10000 [00:06<01:52, 84.76it/s, Loss=0.00069, L1 Loss=0.00023, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<01:52, 84.61it/s, Loss=0.00069, L1 Loss=0.00023, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▍         | 490/10000 [00:06<01:52, 84.61it/s, Loss=0.00073, L1 Loss=0.00024, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<01:52, 84.76it/s, Loss=0.00073, L1 Loss=0.00024, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 500/10000 [00:06<01:52, 84.76it/s, Loss=0.00071, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:06<01:51, 84.88it/s, Loss=0.00071, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 510/10000 [00:06<01:51, 84.88it/s, Loss=0.00073, L1 Loss=0.00024, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:06<01:51, 84.71it/s, Loss=0.00073, L1 Loss=0.00024, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00041, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 520/10000 [00:06<01:51, 84.71it/s, Loss=0.00069, L1 Loss=0.00022, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:06<01:51, 84.85it/s, Loss=0.00069, L1 Loss=0.00022, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 530/10000 [00:06<01:51, 84.85it/s, Loss=0.00071, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:06<01:51, 84.74it/s, Loss=0.00071, L1 Loss=0.00023, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   5%|▌         | 540/10000 [00:06<01:51, 84.74it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:06<01:51, 84.52it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 550/10000 [00:07<01:51, 84.52it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<01:51, 84.78it/s, Loss=0.00067, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 560/10000 [00:07<01:51, 84.78it/s, Loss=0.00068, L1 Loss=0.00017, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<01:51, 84.56it/s, Loss=0.00068, L1 Loss=0.00017, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00035, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 570/10000 [00:07<01:51, 84.56it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<01:51, 84.53it/s, Loss=0.00069, L1 Loss=0.00018, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 580/10000 [00:07<01:51, 84.53it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:07<01:51, 84.69it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 590/10000 [00:07<01:51, 84.69it/s, Loss=0.00066, L1 Loss=0.00022, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:07<01:50, 84.69it/s, Loss=0.00066, L1 Loss=0.00022, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 600/10000 [00:07<01:50, 84.69it/s, Loss=0.00068, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:07<01:57, 79.60it/s, Loss=0.00068, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 610/10000 [00:07<01:57, 79.60it/s, Loss=0.00069, L1 Loss=0.00022, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:07<01:55, 80.96it/s, Loss=0.00069, L1 Loss=0.00022, Depth Loss=0.00086, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   6%|▌         | 620/10000 [00:07<01:55, 80.96it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:07<01:54, 81.96it/s, Loss=0.00063, L1 Loss=0.00017, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 630/10000 [00:08<01:54, 81.96it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<01:52, 82.93it/s, Loss=0.00063, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 640/10000 [00:08<01:52, 82.93it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<01:51, 83.69it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   6%|▋         | 650/10000 [00:08<01:51, 83.69it/s, Loss=0.00070, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:08<01:50, 84.22it/s, Loss=0.00070, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 660/10000 [00:08<01:50, 84.22it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:08<01:50, 84.52it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 670/10000 [00:08<01:50, 84.52it/s, Loss=0.00066, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:08<01:50, 84.53it/s, Loss=0.00066, L1 Loss=0.00017, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 680/10000 [00:08<01:50, 84.53it/s, Loss=0.00067, L1 Loss=0.00021, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:08<01:50, 84.64it/s, Loss=0.00067, L1 Loss=0.00021, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 690/10000 [00:08<01:50, 84.64it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:08<01:49, 84.81it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 700/10000 [00:08<01:49, 84.81it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:08<01:53, 81.73it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 710/10000 [00:08<01:53, 81.73it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:08<01:51, 82.87it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 720/10000 [00:09<01:51, 82.87it/s, Loss=0.00065, L1 Loss=0.00021, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<01:50, 83.66it/s, Loss=0.00065, L1 Loss=0.00021, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 730/10000 [00:09<01:50, 83.66it/s, Loss=0.00062, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:09<01:50, 84.00it/s, Loss=0.00062, L1 Loss=0.00016, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   7%|▋         | 740/10000 [00:09<01:50, 84.00it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:09<01:50, 84.05it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 750/10000 [00:09<01:50, 84.05it/s, Loss=0.00062, L1 Loss=0.00016, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:09<01:49, 84.21it/s, Loss=0.00062, L1 Loss=0.00016, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 760/10000 [00:09<01:49, 84.21it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:09<01:49, 84.60it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 770/10000 [00:09<01:49, 84.60it/s, Loss=0.00059, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:09<01:49, 84.55it/s, Loss=0.00059, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 780/10000 [00:09<01:49, 84.55it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:09<01:48, 84.69it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 790/10000 [00:09<01:48, 84.69it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:09<01:48, 84.77it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 800/10000 [00:10<01:48, 84.77it/s, Loss=0.00066, L1 Loss=0.00023, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<01:52, 81.79it/s, Loss=0.00066, L1 Loss=0.00023, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 810/10000 [00:10<01:52, 81.79it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:10<01:50, 82.91it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 820/10000 [00:10<01:50, 82.91it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:10<01:49, 83.57it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 830/10000 [00:10<01:49, 83.57it/s, Loss=0.00068, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:10<01:49, 83.98it/s, Loss=0.00068, L1 Loss=0.00024, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 840/10000 [00:10<01:49, 83.98it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:10<01:48, 84.22it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   8%|▊         | 850/10000 [00:10<01:48, 84.22it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:10<01:47, 84.70it/s, Loss=0.00064, L1 Loss=0.00016, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 860/10000 [00:10<01:47, 84.70it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:10<01:47, 84.92it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:   9%|▊         | 870/10000 [00:10<01:47, 84.92it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:10<01:47, 85.06it/s, Loss=0.00065, L1 Loss=0.00022, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 880/10000 [00:10<01:47, 85.06it/s, Loss=0.00064, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:10<01:46, 85.18it/s, Loss=0.00064, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 890/10000 [00:11<01:46, 85.18it/s, Loss=0.00067, L1 Loss=0.00023, Depth Loss=0.00089, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:11<01:46, 85.11it/s, Loss=0.00067, L1 Loss=0.00023, Depth Loss=0.00089, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 900/10000 [00:11<01:46, 85.11it/s, Loss=0.00066, L1 Loss=0.00022, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:11<01:50, 82.19it/s, Loss=0.00066, L1 Loss=0.00022, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 910/10000 [00:11<01:50, 82.19it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:11<01:49, 82.81it/s, Loss=0.00067, L1 Loss=0.00022, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00037, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 920/10000 [00:11<01:49, 82.81it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:11<01:48, 83.36it/s, Loss=0.00063, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 930/10000 [00:11<01:48, 83.36it/s, Loss=0.00062, L1 Loss=0.00021, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:11<01:48, 83.73it/s, Loss=0.00062, L1 Loss=0.00021, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:   9%|▉         | 940/10000 [00:11<01:48, 83.73it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:11<01:47, 84.06it/s, Loss=0.00061, L1 Loss=0.00016, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 950/10000 [00:11<01:47, 84.06it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:11<01:47, 84.38it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 960/10000 [00:11<01:47, 84.38it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:11<01:46, 84.61it/s, Loss=0.00055, L1 Loss=0.00014, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 970/10000 [00:12<01:46, 84.61it/s, Loss=0.00059, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:12<01:46, 84.82it/s, Loss=0.00059, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 980/10000 [00:12<01:46, 84.82it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:12<01:46, 84.96it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  10%|▉         | 990/10000 [00:12<01:46, 84.96it/s, Loss=0.00064, L1 Loss=0.00022, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:12<01:45, 85.05it/s, Loss=0.00064, L1 Loss=0.00022, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00038, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1000/10000 [00:12<01:45, 85.05it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:12<01:49, 81.89it/s, Loss=0.00057, L1 Loss=0.00015, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1010/10000 [00:12<01:49, 81.89it/s, Loss=0.00065, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:12<01:48, 82.91it/s, Loss=0.00065, L1 Loss=0.00016, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1020/10000 [00:12<01:48, 82.91it/s, Loss=0.00061, L1 Loss=0.00020, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:12<01:47, 83.48it/s, Loss=0.00061, L1 Loss=0.00020, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1030/10000 [00:12<01:47, 83.48it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:12<01:46, 83.84it/s, Loss=0.00060, L1 Loss=0.00016, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1040/10000 [00:12<01:46, 83.84it/s, Loss=0.00059, L1 Loss=0.00019, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:12<01:46, 84.18it/s, Loss=0.00059, L1 Loss=0.00019, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  10%|█         | 1050/10000 [00:13<01:46, 84.18it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:13<01:45, 84.49it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1060/10000 [00:13<01:45, 84.49it/s, Loss=0.00059, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:13<01:45, 84.71it/s, Loss=0.00059, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1070/10000 [00:13<01:45, 84.71it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:13<01:44, 84.95it/s, Loss=0.00060, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1080/10000 [00:13<01:44, 84.95it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:13<01:44, 84.96it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1090/10000 [00:13<01:44, 84.96it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:13<01:44, 85.03it/s, Loss=0.00058, L1 Loss=0.00015, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1100/10000 [00:13<01:44, 85.03it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:13<01:48, 81.88it/s, Loss=0.00057, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1110/10000 [00:13<01:48, 81.88it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:13<01:47, 82.87it/s, Loss=0.00056, L1 Loss=0.00015, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  11%|█         | 1120/10000 [00:13<01:47, 82.87it/s, Loss=0.00054, L1 Loss=0.00018, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:13<01:46, 83.33it/s, Loss=0.00054, L1 Loss=0.00018, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1130/10000 [00:13<01:46, 83.33it/s, Loss=0.00058, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:13<01:45, 83.77it/s, Loss=0.00058, L1 Loss=0.00020, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  11%|█▏        | 1140/10000 [00:14<01:45, 83.77it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:14<01:45, 83.88it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1150/10000 [00:14<01:45, 83.88it/s, Loss=0.00057, L1 Loss=0.00019, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:14<01:45, 84.15it/s, Loss=0.00057, L1 Loss=0.00019, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1160/10000 [00:14<01:45, 84.15it/s, Loss=0.00053, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:14<01:44, 84.25it/s, Loss=0.00053, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1170/10000 [00:14<01:44, 84.25it/s, Loss=0.00053, L1 Loss=0.00014, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:14<01:44, 84.55it/s, Loss=0.00053, L1 Loss=0.00014, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1180/10000 [00:14<01:44, 84.55it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:14<01:44, 84.51it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1190/10000 [00:14<01:44, 84.51it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:14<01:44, 84.61it/s, Loss=0.00052, L1 Loss=0.00014, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1200/10000 [00:14<01:44, 84.61it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:14<01:47, 81.76it/s, Loss=0.00054, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1210/10000 [00:14<01:47, 81.76it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:14<01:46, 82.73it/s, Loss=0.00054, L1 Loss=0.00014, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1220/10000 [00:15<01:46, 82.73it/s, Loss=0.00056, L1 Loss=0.00019, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:15<01:45, 83.29it/s, Loss=0.00056, L1 Loss=0.00019, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00033, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1230/10000 [00:15<01:45, 83.29it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:15<01:44, 83.81it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▏        | 1240/10000 [00:15<01:44, 83.81it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:15<01:44, 83.61it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  12%|█▎        | 1250/10000 [00:15<01:44, 83.61it/s, Loss=0.00057, L1 Loss=0.00020, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:15<01:44, 83.77it/s, Loss=0.00057, L1 Loss=0.00020, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00034, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1260/10000 [00:15<01:44, 83.77it/s, Loss=0.00052, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:15<01:43, 84.29it/s, Loss=0.00052, L1 Loss=0.00018, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1270/10000 [00:15<01:43, 84.29it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:15<01:42, 84.68it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1280/10000 [00:15<01:42, 84.68it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:15<01:43, 84.49it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1290/10000 [00:15<01:43, 84.49it/s, Loss=0.00053, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:15<01:42, 84.65it/s, Loss=0.00053, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1300/10000 [00:15<01:42, 84.65it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:15<01:46, 81.89it/s, Loss=0.00055, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1310/10000 [00:16<01:46, 81.89it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:16<01:45, 82.51it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1320/10000 [00:16<01:45, 82.51it/s, Loss=0.00054, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:16<01:44, 83.08it/s, Loss=0.00054, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1330/10000 [00:16<01:44, 83.08it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:16<01:43, 83.34it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  13%|█▎        | 1340/10000 [00:16<01:43, 83.34it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:16<01:43, 83.68it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1350/10000 [00:16<01:43, 83.68it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:16<01:42, 84.09it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1360/10000 [00:16<01:42, 84.09it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:16<01:42, 84.34it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▎        | 1370/10000 [00:16<01:42, 84.34it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:16<01:42, 84.45it/s, Loss=0.00051, L1 Loss=0.00014, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1380/10000 [00:16<01:42, 84.45it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:16<01:41, 84.52it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1390/10000 [00:17<01:41, 84.52it/s, Loss=0.00057, L1 Loss=0.00020, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:17<01:41, 84.63it/s, Loss=0.00057, L1 Loss=0.00020, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00036, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1400/10000 [00:17<01:41, 84.63it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:17<01:46, 80.58it/s, Loss=0.00051, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1410/10000 [00:17<01:46, 80.58it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:17<01:44, 81.91it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1420/10000 [00:17<01:44, 81.91it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:17<01:43, 82.77it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1430/10000 [00:17<01:43, 82.77it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:17<01:42, 83.34it/s, Loss=0.00052, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1440/10000 [00:17<01:42, 83.34it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:17<01:42, 83.65it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  14%|█▍        | 1450/10000 [00:17<01:42, 83.65it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:17<01:41, 84.01it/s, Loss=0.00049, L1 Loss=0.00013, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1460/10000 [00:17<01:41, 84.01it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:17<01:41, 84.31it/s, Loss=0.00054, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1470/10000 [00:18<01:41, 84.31it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:18<01:41, 84.30it/s, Loss=0.00055, L1 Loss=0.00018, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1480/10000 [00:18<01:41, 84.30it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:18<01:40, 84.60it/s, Loss=0.00051, L1 Loss=0.00017, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  15%|█▍        | 1490/10000 [00:18<01:40, 84.60it/s, Loss=0.00053, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:18<01:40, 84.60it/s, Loss=0.00053, L1 Loss=0.00018, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1500/10000 [00:18<01:40, 84.60it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:18<01:44, 81.47it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1510/10000 [00:18<01:44, 81.47it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:18<01:42, 82.56it/s, Loss=0.00051, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1520/10000 [00:18<01:42, 82.56it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:18<01:41, 83.32it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1530/10000 [00:18<01:41, 83.32it/s, Loss=0.00047, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:18<01:41, 83.67it/s, Loss=0.00047, L1 Loss=0.00013, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  15%|█▌        | 1540/10000 [00:18<01:41, 83.67it/s, Loss=0.00048, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:18<01:40, 83.99it/s, Loss=0.00048, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1550/10000 [00:18<01:40, 83.99it/s, Loss=0.00051, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:18<01:40, 84.27it/s, Loss=0.00051, L1 Loss=0.00018, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1560/10000 [00:19<01:40, 84.27it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:19<01:39, 84.36it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1570/10000 [00:19<01:39, 84.36it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:19<01:39, 84.62it/s, Loss=0.00050, L1 Loss=0.00013, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1580/10000 [00:19<01:39, 84.62it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:19<01:39, 84.50it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1590/10000 [00:19<01:39, 84.50it/s, Loss=0.00049, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:19<01:39, 84.80it/s, Loss=0.00049, L1 Loss=0.00017, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1600/10000 [00:19<01:39, 84.80it/s, Loss=0.00053, L1 Loss=0.00017, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:19<01:42, 81.81it/s, Loss=0.00053, L1 Loss=0.00017, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1610/10000 [00:19<01:42, 81.81it/s, Loss=0.00052, L1 Loss=0.00018, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:19<01:41, 82.71it/s, Loss=0.00052, L1 Loss=0.00018, Depth Loss=0.00085, Normal Loss=0.00000, Seg Loss=0.00031, Anisotropic Loss=0.00000]
Training progress:  16%|█▌        | 1620/10000 [00:19<01:41, 82.71it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:19<01:40, 83.28it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1630/10000 [00:19<01:40, 83.28it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:19<01:39, 83.79it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1640/10000 [00:20<01:39, 83.79it/s, Loss=0.00044, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:20<01:39, 84.19it/s, Loss=0.00044, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  16%|█▋        | 1650/10000 [00:20<01:39, 84.19it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:20<01:38, 84.49it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1660/10000 [00:20<01:38, 84.49it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:20<01:38, 84.81it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1670/10000 [00:20<01:38, 84.81it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:20<01:38, 84.57it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1680/10000 [00:20<01:38, 84.57it/s, Loss=0.00049, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:20<01:38, 84.73it/s, Loss=0.00049, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1690/10000 [00:20<01:38, 84.73it/s, Loss=0.00049, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:20<01:38, 84.42it/s, Loss=0.00049, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00030, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1700/10000 [00:20<01:38, 84.42it/s, Loss=0.00052, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:20<01:41, 81.52it/s, Loss=0.00052, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1710/10000 [00:20<01:41, 81.52it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:20<01:40, 82.43it/s, Loss=0.00049, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1720/10000 [00:21<01:40, 82.43it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:21<01:39, 83.27it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1730/10000 [00:21<01:39, 83.27it/s, Loss=0.00047, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:21<01:38, 83.82it/s, Loss=0.00047, L1 Loss=0.00015, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  17%|█▋        | 1740/10000 [00:21<01:38, 83.82it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:21<01:38, 84.08it/s, Loss=0.00048, L1 Loss=0.00015, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1750/10000 [00:21<01:38, 84.08it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:21<01:37, 84.25it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1760/10000 [00:21<01:37, 84.25it/s, Loss=0.00044, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:21<01:37, 84.34it/s, Loss=0.00044, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1770/10000 [00:21<01:37, 84.34it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:21<01:37, 84.51it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1780/10000 [00:21<01:37, 84.51it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:21<01:36, 84.69it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1790/10000 [00:21<01:36, 84.69it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:21<01:36, 84.62it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1800/10000 [00:21<01:36, 84.62it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:21<01:40, 81.81it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1810/10000 [00:22<01:40, 81.81it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:22<01:38, 82.76it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1820/10000 [00:22<01:38, 82.76it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:22<01:38, 83.21it/s, Loss=0.00046, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1830/10000 [00:22<01:38, 83.21it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:22<01:37, 83.85it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1840/10000 [00:22<01:37, 83.85it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:22<01:36, 84.13it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  18%|█▊        | 1850/10000 [00:22<01:36, 84.13it/s, Loss=0.00050, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:22<01:36, 84.33it/s, Loss=0.00050, L1 Loss=0.00017, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1860/10000 [00:22<01:36, 84.33it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:22<01:36, 84.53it/s, Loss=0.00051, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  19%|█▊        | 1870/10000 [00:22<01:36, 84.53it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:22<01:35, 84.66it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1880/10000 [00:22<01:35, 84.66it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:22<01:35, 84.56it/s, Loss=0.00045, L1 Loss=0.00012, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1890/10000 [00:23<01:35, 84.56it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:23<01:35, 84.80it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1900/10000 [00:23<01:35, 84.80it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:23<01:38, 82.03it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1910/10000 [00:23<01:38, 82.03it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:23<01:37, 82.90it/s, Loss=0.00046, L1 Loss=0.00011, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1920/10000 [00:23<01:37, 82.90it/s, Loss=0.00045, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:23<01:36, 83.69it/s, Loss=0.00045, L1 Loss=0.00015, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1930/10000 [00:23<01:36, 83.69it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:23<01:35, 84.00it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  19%|█▉        | 1940/10000 [00:23<01:35, 84.00it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:23<01:35, 84.43it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1950/10000 [00:23<01:35, 84.43it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:23<01:35, 84.46it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1960/10000 [00:23<01:35, 84.46it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:23<01:35, 84.46it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1970/10000 [00:23<01:35, 84.46it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:23<01:34, 84.49it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1980/10000 [00:24<01:34, 84.49it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:24<01:34, 84.57it/s, Loss=0.00047, L1 Loss=0.00012, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|█▉        | 1990/10000 [00:24<01:34, 84.57it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:24<01:34, 84.81it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2000/10000 [00:24<01:34, 84.81it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:24<01:37, 81.83it/s, Loss=0.00047, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2010/10000 [00:24<01:37, 81.83it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:24<01:36, 82.57it/s, Loss=0.00046, L1 Loss=0.00012, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2020/10000 [00:24<01:36, 82.57it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:24<01:35, 83.10it/s, Loss=0.00048, L1 Loss=0.00016, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2030/10000 [00:24<01:35, 83.10it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:24<01:35, 83.55it/s, Loss=0.00044, L1 Loss=0.00011, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2040/10000 [00:24<01:35, 83.55it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:24<01:34, 83.98it/s, Loss=0.00045, L1 Loss=0.00011, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  20%|██        | 2050/10000 [00:24<01:34, 83.98it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:24<01:34, 84.24it/s, Loss=0.00048, L1 Loss=0.00012, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2060/10000 [00:25<01:34, 84.24it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:25<01:33, 84.50it/s, Loss=0.00046, L1 Loss=0.00013, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2070/10000 [00:25<01:33, 84.50it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:25<01:33, 84.56it/s, Loss=0.00041, L1 Loss=0.00010, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2080/10000 [00:25<01:33, 84.56it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:25<01:33, 84.52it/s, Loss=0.00040, L1 Loss=0.00012, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2090/10000 [00:25<01:33, 84.52it/s, Loss=0.00043, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:25<01:33, 84.61it/s, Loss=0.00043, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2100/10000 [00:25<01:33, 84.61it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:25<01:36, 81.71it/s, Loss=0.00043, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2110/10000 [00:25<01:36, 81.71it/s, Loss=0.00044, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:25<01:35, 82.53it/s, Loss=0.00044, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  21%|██        | 2120/10000 [00:25<01:35, 82.53it/s, Loss=0.00042, L1 Loss=0.00014, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:25<01:34, 83.36it/s, Loss=0.00042, L1 Loss=0.00014, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2130/10000 [00:25<01:34, 83.36it/s, Loss=0.00042, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:25<01:33, 83.79it/s, Loss=0.00042, L1 Loss=0.00015, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  21%|██▏       | 2140/10000 [00:26<01:33, 83.79it/s, Loss=0.00040, L1 Loss=0.00010, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:26<01:33, 83.99it/s, Loss=0.00040, L1 Loss=0.00010, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2150/10000 [00:26<01:33, 83.99it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:26<01:32, 84.47it/s, Loss=0.00039, L1 Loss=0.00012, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2160/10000 [00:26<01:32, 84.47it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:26<01:32, 84.64it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2170/10000 [00:26<01:32, 84.64it/s, Loss=0.00038, L1 Loss=0.00010, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:26<01:32, 84.58it/s, Loss=0.00038, L1 Loss=0.00010, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2180/10000 [00:26<01:32, 84.58it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:26<01:32, 84.41it/s, Loss=0.00037, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2190/10000 [00:26<01:32, 84.41it/s, Loss=0.00038, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:26<01:32, 84.64it/s, Loss=0.00038, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2200/10000 [00:26<01:32, 84.64it/s, Loss=0.00041, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:26<01:35, 81.90it/s, Loss=0.00041, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2210/10000 [00:26<01:35, 81.90it/s, Loss=0.00041, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:26<01:34, 82.57it/s, Loss=0.00041, L1 Loss=0.00013, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2220/10000 [00:26<01:34, 82.57it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:26<01:33, 83.19it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2230/10000 [00:27<01:33, 83.19it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:27<01:32, 83.93it/s, Loss=0.00040, L1 Loss=0.00013, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  22%|██▏       | 2240/10000 [00:27<01:32, 83.93it/s, Loss=0.00036, L1 Loss=0.00010, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:27<01:32, 84.17it/s, Loss=0.00036, L1 Loss=0.00010, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  22%|██▎       | 2250/10000 [00:27<01:32, 84.17it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:27<01:31, 84.25it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2260/10000 [00:27<01:31, 84.25it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:27<01:31, 84.22it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2270/10000 [00:27<01:31, 84.22it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:27<01:31, 84.32it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2280/10000 [00:27<01:31, 84.32it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:27<01:31, 84.68it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2290/10000 [00:27<01:31, 84.68it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:27<01:30, 84.90it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2300/10000 [00:27<01:30, 84.90it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:27<01:33, 81.82it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2310/10000 [00:28<01:33, 81.82it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:28<01:32, 82.91it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00053, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2320/10000 [00:28<01:32, 82.91it/s, Loss=0.00038, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:28<01:31, 83.56it/s, Loss=0.00038, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2330/10000 [00:28<01:31, 83.56it/s, Loss=0.00040, L1 Loss=0.00014, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:28<01:31, 83.94it/s, Loss=0.00040, L1 Loss=0.00014, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00028, Anisotropic Loss=0.00000]
Training progress:  23%|██▎       | 2340/10000 [00:28<01:31, 83.94it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:28<01:30, 84.20it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2350/10000 [00:28<01:30, 84.20it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:28<01:30, 84.69it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2360/10000 [00:28<01:30, 84.69it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:28<01:29, 85.04it/s, Loss=0.00036, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▎       | 2370/10000 [00:28<01:29, 85.04it/s, Loss=0.00041, L1 Loss=0.00014, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:28<01:29, 85.06it/s, Loss=0.00041, L1 Loss=0.00014, Depth Loss=0.00087, Normal Loss=0.00000, Seg Loss=0.00029, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2380/10000 [00:28<01:29, 85.06it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:28<01:29, 85.15it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2390/10000 [00:28<01:29, 85.15it/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:  24%|██▍       | 2400/10000 [00:28<01:29, 84.99it/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:  24%|██▍       | 2400/10000 [00:29<01:29, 84.99it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:29<01:32, 81.83it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2410/10000 [00:29<01:32, 81.83it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:29<01:31, 82.90it/s, Loss=0.00035, L1 Loss=0.00010, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2420/10000 [00:29<01:31, 82.90it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:29<01:30, 83.42it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2430/10000 [00:29<01:30, 83.42it/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:  24%|██▍       | 2440/10000 [00:29<01:30, 83.86it/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:  24%|██▍       | 2440/10000 [00:29<01:30, 83.86it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:29<01:29, 83.90it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  24%|██▍       | 2450/10000 [00:29<01:29, 83.90it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:29<01:29, 84.36it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2460/10000 [00:29<01:29, 84.36it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:29<01:29, 84.53it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2470/10000 [00:29<01:29, 84.53it/s, Loss=0.00036, L1 Loss=0.00012, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:29<01:28, 84.80it/s, Loss=0.00036, L1 Loss=0.00012, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2480/10000 [00:30<01:28, 84.80it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:30<01:28, 84.74it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▍       | 2490/10000 [00:30<01:28, 84.74it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:30<01:28, 85.03it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2500/10000 [00:30<01:28, 85.03it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:30<01:31, 82.11it/s, Loss=0.00037, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2510/10000 [00:30<01:31, 82.11it/s, Loss=0.00037, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:30<01:30, 83.06it/s, Loss=0.00037, L1 Loss=0.00013, Depth Loss=0.00083, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2520/10000 [00:30<01:30, 83.06it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:30<01:29, 83.72it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2530/10000 [00:30<01:29, 83.72it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:30<01:28, 84.26it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  25%|██▌       | 2540/10000 [00:30<01:28, 84.26it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:30<01:28, 84.40it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2550/10000 [00:30<01:28, 84.40it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:30<01:27, 84.73it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2560/10000 [00:31<01:27, 84.73it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:31<01:27, 84.95it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2570/10000 [00:31<01:27, 84.95it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:31<01:27, 85.18it/s, Loss=0.00035, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2580/10000 [00:31<01:27, 85.18it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:31<01:27, 85.12it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2590/10000 [00:31<01:27, 85.12it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:31<01:26, 85.18it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2600/10000 [00:31<01:26, 85.18it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:31<01:29, 82.17it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2610/10000 [00:31<01:29, 82.17it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:31<01:28, 83.02it/s, Loss=0.00034, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▌       | 2620/10000 [00:31<01:28, 83.02it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:31<01:28, 83.52it/s, Loss=0.00033, L1 Loss=0.00010, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2630/10000 [00:31<01:28, 83.52it/s, Loss=0.00036, L1 Loss=0.00012, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:31<01:27, 83.84it/s, Loss=0.00036, L1 Loss=0.00012, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2640/10000 [00:31<01:27, 83.84it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:31<01:27, 84.14it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  26%|██▋       | 2650/10000 [00:32<01:27, 84.14it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:32<01:26, 84.38it/s, Loss=0.00037, L1 Loss=0.00012, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2660/10000 [00:32<01:26, 84.38it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:32<01:27, 84.15it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2670/10000 [00:32<01:27, 84.15it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:32<01:26, 84.29it/s, Loss=0.00033, L1 Loss=0.00008, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2680/10000 [00:32<01:26, 84.29it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:32<01:26, 84.35it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2690/10000 [00:32<01:26, 84.35it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:32<01:26, 84.45it/s, Loss=0.00032, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2700/10000 [00:32<01:26, 84.45it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:32<01:29, 81.71it/s, Loss=0.00033, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2710/10000 [00:32<01:29, 81.71it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:32<01:28, 82.56it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2720/10000 [00:32<01:28, 82.56it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:32<01:27, 83.12it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2730/10000 [00:33<01:27, 83.12it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:33<01:26, 83.86it/s, Loss=0.00031, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  27%|██▋       | 2740/10000 [00:33<01:26, 83.86it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:33<01:26, 84.25it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2750/10000 [00:33<01:26, 84.25it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:33<01:25, 84.42it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2760/10000 [00:33<01:25, 84.42it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:33<01:25, 84.63it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2770/10000 [00:33<01:25, 84.63it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:33<01:25, 84.71it/s, Loss=0.00034, L1 Loss=0.00011, Depth Loss=0.00082, Normal Loss=0.00000, Seg Loss=0.00024, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2780/10000 [00:33<01:25, 84.71it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:33<01:25, 84.74it/s, Loss=0.00033, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2790/10000 [00:33<01:25, 84.74it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:33<01:25, 84.70it/s, Loss=0.00032, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2800/10000 [00:33<01:25, 84.70it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:33<01:28, 81.60it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2810/10000 [00:34<01:28, 81.60it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:34<01:27, 82.46it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2820/10000 [00:34<01:27, 82.46it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:34<01:26, 83.29it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2830/10000 [00:34<01:26, 83.29it/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:  28%|██▊       | 2840/10000 [00:34<01:25, 83.65it/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:  28%|██▊       | 2840/10000 [00:34<01:25, 83.65it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:34<01:25, 84.04it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  28%|██▊       | 2850/10000 [00:34<01:25, 84.04it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:34<01:24, 84.33it/s, Loss=0.00031, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2860/10000 [00:34<01:24, 84.33it/s, Loss=0.00031, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:34<01:24, 84.65it/s, Loss=0.00031, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▊       | 2870/10000 [00:34<01:24, 84.65it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:34<01:23, 84.92it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2880/10000 [00:34<01:23, 84.92it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:34<01:23, 85.19it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2890/10000 [00:34<01:23, 85.19it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:34<01:23, 84.92it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2900/10000 [00:35<01:23, 84.92it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:35<01:26, 82.06it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00021, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2910/10000 [00:35<01:26, 82.06it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:35<01:25, 82.79it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2920/10000 [00:35<01:25, 82.79it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:35<01:24, 83.47it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2930/10000 [00:35<01:24, 83.47it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:35<01:24, 84.00it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  29%|██▉       | 2940/10000 [00:35<01:24, 84.00it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:35<01:23, 84.46it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2950/10000 [00:35<01:23, 84.46it/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:  30%|██▉       | 2960/10000 [00:35<01:23, 84.70it/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:  30%|██▉       | 2960/10000 [00:35<01:23, 84.70it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:35<01:22, 84.84it/s, Loss=0.00029, L1 Loss=0.00006, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2970/10000 [00:35<01:22, 84.84it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:35<01:22, 84.98it/s, Loss=0.00029, L1 Loss=0.00008, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2980/10000 [00:36<01:22, 84.98it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:36<01:22, 85.05it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  30%|██▉       | 2990/10000 [00:36<01:22, 85.05it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:36<01:22, 85.01it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00051, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3000/10000 [00:36<01:22, 85.01it/s, Loss=0.00348, L1 Loss=0.00051, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00161, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:36<01:25, 82.06it/s, Loss=0.00348, L1 Loss=0.00051, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00161, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3010/10000 [00:36<01:25, 82.06it/s, Loss=0.00158, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00059, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:36<01:24, 83.04it/s, Loss=0.00158, L1 Loss=0.00021, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00059, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3020/10000 [00:36<01:24, 83.04it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:36<01:23, 83.23it/s, Loss=0.00075, L1 Loss=0.00020, Depth Loss=0.00094, Normal Loss=0.00000, Seg Loss=0.00040, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3030/10000 [00:36<01:23, 83.23it/s, Loss=0.00052, L1 Loss=0.00016, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:36<01:23, 83.38it/s, Loss=0.00052, L1 Loss=0.00016, Depth Loss=0.00090, Normal Loss=0.00000, Seg Loss=0.00032, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3040/10000 [00:36<01:23, 83.38it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:36<01:23, 83.68it/s, Loss=0.00036, L1 Loss=0.00009, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  30%|███       | 3050/10000 [00:36<01:23, 83.68it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:36<01:22, 84.07it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00025, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3060/10000 [00:36<01:22, 84.07it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:36<01:22, 84.21it/s, Loss=0.00035, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3070/10000 [00:37<01:22, 84.21it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:37<01:22, 83.96it/s, Loss=0.00031, L1 Loss=0.00008, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3080/10000 [00:37<01:22, 83.96it/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:  31%|███       | 3090/10000 [00:37<01:22, 83.85it/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:  31%|███       | 3090/10000 [00:37<01:22, 83.85it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:37<01:22, 84.02it/s, Loss=0.00032, L1 Loss=0.00009, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3100/10000 [00:37<01:22, 84.02it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:37<01:24, 81.24it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3110/10000 [00:37<01:24, 81.24it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:37<01:23, 82.23it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  31%|███       | 3120/10000 [00:37<01:23, 82.23it/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:  31%|███▏      | 3130/10000 [00:37<01:22, 82.98it/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:  31%|███▏      | 3130/10000 [00:37<01:22, 82.98it/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:  31%|███▏      | 3140/10000 [00:37<01:22, 83.51it/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:  31%|███▏      | 3140/10000 [00:37<01:22, 83.51it/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:  32%|███▏      | 3150/10000 [00:37<01:21, 83.85it/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:  32%|███▏      | 3150/10000 [00:38<01:21, 83.85it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:38<01:21, 83.82it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3160/10000 [00:38<01:21, 83.82it/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:  32%|███▏      | 3170/10000 [00:38<01:21, 83.79it/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:  32%|███▏      | 3170/10000 [00:38<01:21, 83.79it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:38<01:21, 83.86it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3180/10000 [00:38<01:21, 83.86it/s, Loss=0.00030, L1 Loss=0.00009, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:38<01:21, 83.97it/s, Loss=0.00030, L1 Loss=0.00009, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3190/10000 [00:38<01:21, 83.97it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:38<01:21, 83.94it/s, Loss=0.00032, L1 Loss=0.00010, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00023, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3200/10000 [00:38<01:21, 83.94it/s, Loss=0.00033, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:38<01:23, 81.31it/s, Loss=0.00033, L1 Loss=0.00011, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3210/10000 [00:38<01:23, 81.31it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:38<01:22, 82.29it/s, Loss=0.00030, L1 Loss=0.00007, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3220/10000 [00:38<01:22, 82.29it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:38<01:21, 83.01it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3230/10000 [00:39<01:21, 83.01it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:39<01:20, 83.50it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  32%|███▏      | 3240/10000 [00:39<01:20, 83.50it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:39<01:20, 83.76it/s, Loss=0.00030, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  32%|███▎      | 3250/10000 [00:39<01:20, 83.76it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:39<01:20, 84.13it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3260/10000 [00:39<01:20, 84.13it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:39<01:19, 84.31it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3270/10000 [00:39<01:19, 84.31it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:39<01:19, 84.60it/s, Loss=0.00028, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3280/10000 [00:39<01:19, 84.60it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:39<01:19, 84.56it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3290/10000 [00:39<01:19, 84.56it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:39<01:19, 84.59it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3300/10000 [00:39<01:19, 84.59it/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:  33%|███▎      | 3310/10000 [00:39<01:21, 81.82it/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:  33%|███▎      | 3310/10000 [00:39<01:21, 81.82it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:39<01:20, 82.80it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3320/10000 [00:40<01:20, 82.80it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:40<01:20, 83.37it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3330/10000 [00:40<01:20, 83.37it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:40<01:19, 83.58it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  33%|███▎      | 3340/10000 [00:40<01:19, 83.58it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:40<01:19, 83.95it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3350/10000 [00:40<01:19, 83.95it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:40<01:18, 84.08it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3360/10000 [00:40<01:18, 84.08it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:40<01:18, 84.29it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  34%|███▎      | 3370/10000 [00:40<01:18, 84.29it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:40<01:18, 84.62it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3380/10000 [00:40<01:18, 84.62it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:40<01:18, 84.58it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3390/10000 [00:40<01:18, 84.58it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:40<01:17, 84.75it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3400/10000 [00:41<01:17, 84.75it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:41<01:20, 81.74it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3410/10000 [00:41<01:20, 81.74it/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:  34%|███▍      | 3420/10000 [00:41<01:19, 82.59it/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:  34%|███▍      | 3420/10000 [00:41<01:19, 82.59it/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:  34%|███▍      | 3430/10000 [00:41<01:19, 82.91it/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:  34%|███▍      | 3430/10000 [00:41<01:19, 82.91it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:41<01:18, 83.40it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  34%|███▍      | 3440/10000 [00:41<01:18, 83.40it/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:  34%|███▍      | 3450/10000 [00:41<01:18, 83.79it/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:  34%|███▍      | 3450/10000 [00:41<01:18, 83.79it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:41<01:17, 84.07it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3460/10000 [00:41<01:17, 84.07it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:41<01:17, 84.27it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3470/10000 [00:41<01:17, 84.27it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:41<01:17, 84.40it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3480/10000 [00:42<01:17, 84.40it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:42<01:16, 84.66it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  35%|███▍      | 3490/10000 [00:42<01:16, 84.66it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:42<01:16, 84.52it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3500/10000 [00:42<01:16, 84.52it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:42<01:19, 81.79it/s, Loss=0.00028, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3510/10000 [00:42<01:19, 81.79it/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:  35%|███▌      | 3520/10000 [00:42<01:18, 82.93it/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:  35%|███▌      | 3520/10000 [00:42<01:18, 82.93it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:42<01:17, 83.52it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3530/10000 [00:42<01:17, 83.52it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:42<01:16, 83.95it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  35%|███▌      | 3540/10000 [00:42<01:16, 83.95it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:42<01:16, 84.28it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3550/10000 [00:42<01:16, 84.28it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:42<01:16, 84.60it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3560/10000 [00:42<01:16, 84.60it/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:  36%|███▌      | 3570/10000 [00:42<01:15, 84.85it/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:  36%|███▌      | 3570/10000 [00:43<01:15, 84.85it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:43<01:15, 84.94it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3580/10000 [00:43<01:15, 84.94it/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:  36%|███▌      | 3590/10000 [00:43<01:15, 85.11it/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:  36%|███▌      | 3590/10000 [00:43<01:15, 85.11it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:43<01:15, 85.12it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3600/10000 [00:43<01:15, 85.12it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:43<01:18, 81.47it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3610/10000 [00:43<01:18, 81.47it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:43<01:17, 82.41it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▌      | 3620/10000 [00:43<01:17, 82.41it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:43<01:16, 83.09it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3630/10000 [00:43<01:16, 83.09it/s, Loss=0.00028, L1 Loss=0.00009, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:43<01:16, 83.60it/s, Loss=0.00028, L1 Loss=0.00009, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3640/10000 [00:43<01:16, 83.60it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:43<01:15, 84.09it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  36%|███▋      | 3650/10000 [00:44<01:15, 84.09it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:44<01:15, 84.24it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3660/10000 [00:44<01:15, 84.24it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:44<01:15, 84.23it/s, Loss=0.00027, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3670/10000 [00:44<01:15, 84.23it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:44<01:14, 84.51it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3680/10000 [00:44<01:14, 84.51it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:44<01:14, 84.62it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3690/10000 [00:44<01:14, 84.62it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:44<01:14, 84.75it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3700/10000 [00:44<01:14, 84.75it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:44<01:16, 81.96it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3710/10000 [00:44<01:16, 81.96it/s, Loss=0.00027, L1 Loss=0.00009, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:44<01:15, 82.86it/s, Loss=0.00027, L1 Loss=0.00009, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00020, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3720/10000 [00:44<01:15, 82.86it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:44<01:15, 83.27it/s, Loss=0.00027, L1 Loss=0.00006, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3730/10000 [00:44<01:15, 83.27it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:44<01:14, 83.78it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  37%|███▋      | 3740/10000 [00:45<01:14, 83.78it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:45<01:14, 84.15it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3750/10000 [00:45<01:14, 84.15it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:45<01:13, 84.41it/s, Loss=0.00029, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3760/10000 [00:45<01:13, 84.41it/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:  38%|███▊      | 3770/10000 [00:45<01:13, 84.60it/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:  38%|███▊      | 3770/10000 [00:45<01:13, 84.60it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:45<01:13, 84.62it/s, Loss=0.00027, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3780/10000 [00:45<01:13, 84.62it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:45<01:13, 84.77it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3790/10000 [00:45<01:13, 84.77it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:45<01:13, 84.74it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3800/10000 [00:45<01:13, 84.74it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:45<01:15, 82.02it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3810/10000 [00:45<01:15, 82.02it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:45<01:14, 82.82it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3820/10000 [00:46<01:14, 82.82it/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:  38%|███▊      | 3830/10000 [00:46<01:13, 83.39it/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:  38%|███▊      | 3830/10000 [00:46<01:13, 83.39it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:46<01:13, 83.75it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  38%|███▊      | 3840/10000 [00:46<01:13, 83.75it/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:  38%|███▊      | 3850/10000 [00:46<01:13, 84.03it/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:  38%|███▊      | 3850/10000 [00:46<01:13, 84.03it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:46<01:12, 84.27it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3860/10000 [00:46<01:12, 84.27it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:46<01:12, 84.18it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  39%|███▊      | 3870/10000 [00:46<01:12, 84.18it/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:  39%|███▉      | 3880/10000 [00:46<01:17, 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:  39%|███▉      | 3880/10000 [00:46<01:17, 78.58it/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:  39%|███▉      | 3890/10000 [00:46<01:16, 80.35it/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:  39%|███▉      | 3890/10000 [00:46<01:16, 80.35it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:46<01:14, 81.61it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3900/10000 [00:47<01:14, 81.61it/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:  39%|███▉      | 3910/10000 [00:47<01:16, 79.85it/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:  39%|███▉      | 3910/10000 [00:47<01:16, 79.85it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:47<01:14, 81.35it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3920/10000 [00:47<01:14, 81.35it/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:  39%|███▉      | 3930/10000 [00:47<01:13, 82.37it/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:  39%|███▉      | 3930/10000 [00:47<01:13, 82.37it/s, Loss=0.00030, L1 Loss=0.00010, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:47<01:12, 83.13it/s, Loss=0.00030, L1 Loss=0.00010, Depth Loss=0.00081, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  39%|███▉      | 3940/10000 [00:47<01:12, 83.13it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:47<01:12, 83.93it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3950/10000 [00:47<01:12, 83.93it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:47<01:11, 84.21it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3960/10000 [00:47<01:11, 84.21it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:47<01:11, 84.57it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3970/10000 [00:47<01:11, 84.57it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:47<01:11, 84.71it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3980/10000 [00:47<01:11, 84.71it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:47<01:10, 84.70it/s, Loss=0.00027, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  40%|███▉      | 3990/10000 [00:48<01:10, 84.70it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:48<01:10, 84.75it/s, Loss=0.00026, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4000/10000 [00:48<01:10, 84.75it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:48<01:13, 81.75it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4010/10000 [00:48<01:13, 81.75it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:48<01:12, 82.59it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4020/10000 [00:48<01:12, 82.59it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:48<01:11, 83.21it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4030/10000 [00:48<01:11, 83.21it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:48<01:11, 83.75it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4040/10000 [00:48<01:11, 83.75it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:48<01:10, 83.93it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  40%|████      | 4050/10000 [00:48<01:10, 83.93it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:48<01:10, 84.12it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4060/10000 [00:48<01:10, 84.12it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:48<01:10, 84.26it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4070/10000 [00:49<01:10, 84.26it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:49<01:10, 84.39it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4080/10000 [00:49<01:10, 84.39it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:49<01:09, 84.61it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4090/10000 [00:49<01:09, 84.61it/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:  41%|████      | 4100/10000 [00:49<01:09, 84.53it/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:  41%|████      | 4100/10000 [00:49<01:09, 84.53it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:49<01:12, 81.45it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4110/10000 [00:49<01:12, 81.45it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:49<01:11, 82.41it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████      | 4120/10000 [00:49<01:11, 82.41it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:49<01:10, 83.18it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4130/10000 [00:49<01:10, 83.18it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:49<01:10, 83.49it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  41%|████▏     | 4140/10000 [00:49<01:10, 83.49it/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:  42%|████▏     | 4150/10000 [00:49<01:09, 83.79it/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:  42%|████▏     | 4150/10000 [00:50<01:09, 83.79it/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:  42%|████▏     | 4160/10000 [00:50<01:09, 84.11it/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:  42%|████▏     | 4160/10000 [00:50<01:09, 84.11it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:50<01:09, 84.27it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4170/10000 [00:50<01:09, 84.27it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:50<01:08, 84.36it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4180/10000 [00:50<01:08, 84.36it/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:  42%|████▏     | 4190/10000 [00:50<01:08, 84.51it/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:  42%|████▏     | 4190/10000 [00:50<01:08, 84.51it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:50<01:08, 84.51it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4200/10000 [00:50<01:08, 84.51it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:50<01:10, 81.87it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4210/10000 [00:50<01:10, 81.87it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:50<01:09, 82.62it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4220/10000 [00:50<01:09, 82.62it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:50<01:09, 83.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  42%|████▏     | 4230/10000 [00:50<01:09, 83.24it/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:  42%|████▏     | 4240/10000 [00:50<01:08, 83.69it/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:  42%|████▏     | 4240/10000 [00:51<01:08, 83.69it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:51<01:08, 84.01it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  42%|████▎     | 4250/10000 [00:51<01:08, 84.01it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:51<01:08, 84.30it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4260/10000 [00:51<01:08, 84.30it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:51<01:07, 84.62it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4270/10000 [00:51<01:07, 84.62it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:51<01:07, 84.63it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4280/10000 [00:51<01:07, 84.63it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:51<01:07, 84.63it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4290/10000 [00:51<01:07, 84.63it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:51<01:07, 84.82it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4300/10000 [00:51<01:07, 84.82it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:51<01:09, 82.00it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4310/10000 [00:51<01:09, 82.00it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:51<01:08, 82.73it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4320/10000 [00:52<01:08, 82.73it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:52<01:07, 83.57it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4330/10000 [00:52<01:07, 83.57it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:52<01:07, 83.78it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  43%|████▎     | 4340/10000 [00:52<01:07, 83.78it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:52<01:07, 84.05it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4350/10000 [00:52<01:07, 84.05it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:52<01:06, 84.25it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4360/10000 [00:52<01:06, 84.25it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:52<01:06, 84.30it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  44%|████▎     | 4370/10000 [00:52<01:06, 84.30it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:52<01:06, 84.29it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4380/10000 [00:52<01:06, 84.29it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:52<01:06, 84.46it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4390/10000 [00:52<01:06, 84.46it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:52<01:06, 84.38it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4400/10000 [00:53<01:06, 84.38it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:53<01:08, 81.66it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4410/10000 [00:53<01:08, 81.66it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:53<01:07, 82.62it/s, Loss=0.00025, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4420/10000 [00:53<01:07, 82.62it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:53<01:06, 83.33it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4430/10000 [00:53<01:06, 83.33it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:53<01:06, 83.89it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4440/10000 [00:53<01:06, 83.89it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:53<01:05, 84.36it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  44%|████▍     | 4450/10000 [00:53<01:05, 84.36it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:53<01:05, 84.71it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4460/10000 [00:53<01:05, 84.71it/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:  45%|████▍     | 4470/10000 [00:53<01:05, 84.55it/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:  45%|████▍     | 4470/10000 [00:53<01:05, 84.55it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:53<01:05, 84.73it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4480/10000 [00:53<01:05, 84.73it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:53<01:04, 84.98it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  45%|████▍     | 4490/10000 [00:54<01:04, 84.98it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:54<01:04, 84.93it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4500/10000 [00:54<01:04, 84.93it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:54<01:06, 82.18it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4510/10000 [00:54<01:06, 82.18it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:54<01:06, 82.95it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4520/10000 [00:54<01:06, 82.95it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:54<01:05, 83.62it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4530/10000 [00:54<01:05, 83.62it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:54<01:04, 84.04it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  45%|████▌     | 4540/10000 [00:54<01:04, 84.04it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:54<01:04, 84.52it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4550/10000 [00:54<01:04, 84.52it/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:  46%|████▌     | 4560/10000 [00:54<01:04, 84.67it/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:  46%|████▌     | 4560/10000 [00:54<01:04, 84.67it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:54<01:04, 84.72it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4570/10000 [00:55<01:04, 84.72it/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:  46%|████▌     | 4580/10000 [00:55<01:03, 84.96it/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:  46%|████▌     | 4580/10000 [00:55<01:03, 84.96it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:55<01:03, 85.02it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4590/10000 [00:55<01:03, 85.02it/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:  46%|████▌     | 4600/10000 [00:55<01:03, 85.04it/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:  46%|████▌     | 4600/10000 [00:55<01:03, 85.04it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [00:55<01:05, 82.25it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4610/10000 [00:55<01:05, 82.25it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [00:55<01:04, 83.07it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  46%|████▌     | 4620/10000 [00:55<01:04, 83.07it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [00:55<01:04, 83.66it/s, Loss=0.00026, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00019, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4630/10000 [00:55<01:04, 83.66it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [00:55<01:03, 83.85it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4640/10000 [00:55<01:03, 83.85it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [00:55<01:03, 84.29it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  46%|████▋     | 4650/10000 [00:55<01:03, 84.29it/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:  47%|████▋     | 4660/10000 [00:55<01:03, 84.64it/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:  47%|████▋     | 4660/10000 [00:56<01:03, 84.64it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [00:56<01:02, 84.91it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4670/10000 [00:56<01:02, 84.91it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [00:56<01:02, 85.03it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4680/10000 [00:56<01:02, 85.03it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [00:56<01:02, 85.04it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00080, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4690/10000 [00:56<01:02, 85.04it/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:  47%|████▋     | 4700/10000 [00:56<01:06, 79.76it/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:  47%|████▋     | 4700/10000 [00:56<01:06, 79.76it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [00:56<01:07, 78.16it/s, Loss=0.00025, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4710/10000 [00:56<01:07, 78.16it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [00:56<01:05, 80.11it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4720/10000 [00:56<01:05, 80.11it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [00:56<01:04, 81.71it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  47%|████▋     | 4730/10000 [00:56<01:04, 81.71it/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:  47%|████▋     | 4740/10000 [00:56<01:03, 82.57it/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:  47%|████▋     | 4740/10000 [00:57<01:03, 82.57it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [00:57<01:03, 83.33it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4750/10000 [00:57<01:03, 83.33it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [00:57<01:02, 83.96it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4760/10000 [00:57<01:02, 83.96it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [00:57<01:01, 84.43it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4770/10000 [00:57<01:01, 84.43it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [00:57<01:01, 84.84it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4780/10000 [00:57<01:01, 84.84it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [00:57<01:01, 85.09it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4790/10000 [00:57<01:01, 85.09it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [00:57<01:01, 85.14it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4800/10000 [00:57<01:01, 85.14it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [00:57<01:03, 82.26it/s, Loss=0.00026, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4810/10000 [00:57<01:03, 82.26it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [00:57<01:02, 83.35it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4820/10000 [00:58<01:02, 83.35it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [00:58<01:01, 84.03it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4830/10000 [00:58<01:01, 84.03it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [00:58<01:01, 84.37it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4840/10000 [00:58<01:01, 84.37it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [00:58<01:00, 84.67it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  48%|████▊     | 4850/10000 [00:58<01:00, 84.67it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [00:58<01:00, 84.89it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4860/10000 [00:58<01:00, 84.89it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [00:58<01:00, 85.27it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▊     | 4870/10000 [00:58<01:00, 85.27it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [00:58<01:00, 85.23it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4880/10000 [00:58<01:00, 85.23it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [00:58<00:59, 85.49it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4890/10000 [00:58<00:59, 85.49it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [00:58<00:59, 85.48it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4900/10000 [00:58<00:59, 85.48it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [00:58<01:01, 82.22it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4910/10000 [00:59<01:01, 82.22it/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:  49%|████▉     | 4920/10000 [00:59<01:01, 82.76it/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:  49%|████▉     | 4920/10000 [00:59<01:01, 82.76it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [00:59<01:00, 83.42it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4930/10000 [00:59<01:00, 83.42it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [00:59<01:00, 83.58it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  49%|████▉     | 4940/10000 [00:59<01:00, 83.58it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [00:59<01:00, 83.92it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4950/10000 [00:59<01:00, 83.92it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [00:59<00:59, 84.34it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4960/10000 [00:59<00:59, 84.34it/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:  50%|████▉     | 4970/10000 [00:59<00:59, 84.66it/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:  50%|████▉     | 4970/10000 [00:59<00:59, 84.66it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [00:59<00:59, 84.70it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4980/10000 [00:59<00:59, 84.70it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [00:59<00:59, 84.74it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|████▉     | 4990/10000 [01:00<00:59, 84.74it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:00<00:58, 84.80it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5000/10000 [01:00<00:58, 84.80it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:00<01:00, 82.03it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5010/10000 [01:00<01:00, 82.03it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:00<01:00, 82.97it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5020/10000 [01:00<01:00, 82.97it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:00<00:59, 83.52it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5030/10000 [01:00<00:59, 83.52it/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:  50%|█████     | 5040/10000 [01:00<00:59, 83.99it/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:  50%|█████     | 5040/10000 [01:00<00:59, 83.99it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:00<00:58, 84.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  50%|█████     | 5050/10000 [01:00<00:58, 84.26it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:00<00:58, 84.73it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5060/10000 [01:00<00:58, 84.73it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:00<00:58, 84.80it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5070/10000 [01:00<00:58, 84.80it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:00<00:57, 85.20it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5080/10000 [01:01<00:57, 85.20it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:01<00:57, 85.28it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5090/10000 [01:01<00:57, 85.28it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:01<00:57, 85.00it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5100/10000 [01:01<00:57, 85.00it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:01<00:59, 82.12it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████     | 5110/10000 [01:01<00:59, 82.12it/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:  51%|█████     | 5120/10000 [01:01<00:58, 83.17it/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:  51%|█████     | 5120/10000 [01:01<00:58, 83.17it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:01<00:58, 83.86it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5130/10000 [01:01<00:58, 83.86it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:01<00:57, 84.42it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  51%|█████▏    | 5140/10000 [01:01<00:57, 84.42it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:01<00:57, 84.83it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5150/10000 [01:01<00:57, 84.83it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:01<00:56, 85.07it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5160/10000 [01:02<00:56, 85.07it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:02<00:56, 85.33it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5170/10000 [01:02<00:56, 85.33it/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:  52%|█████▏    | 5180/10000 [01:02<00:56, 85.20it/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:  52%|█████▏    | 5180/10000 [01:02<00:56, 85.20it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:02<00:56, 85.22it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5190/10000 [01:02<00:56, 85.22it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:02<00:56, 85.25it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5200/10000 [01:02<00:56, 85.25it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:02<00:58, 82.44it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5210/10000 [01:02<00:58, 82.44it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:02<00:57, 83.40it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5220/10000 [01:02<00:57, 83.40it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:02<00:56, 83.96it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5230/10000 [01:02<00:56, 83.96it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:02<00:56, 84.37it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  52%|█████▏    | 5240/10000 [01:03<00:56, 84.37it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:03<00:56, 84.72it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  52%|█████▎    | 5250/10000 [01:03<00:56, 84.72it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:03<00:55, 84.92it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5260/10000 [01:03<00:55, 84.92it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:03<00:55, 84.95it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5270/10000 [01:03<00:55, 84.95it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:03<00:55, 85.04it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5280/10000 [01:03<00:55, 85.04it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:03<00:55, 85.32it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5290/10000 [01:03<00:55, 85.32it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:03<00:55, 85.43it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5300/10000 [01:03<00:55, 85.43it/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:  53%|█████▎    | 5310/10000 [01:03<00:57, 82.18it/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:  53%|█████▎    | 5310/10000 [01:03<00:57, 82.18it/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:  53%|█████▎    | 5320/10000 [01:03<00:56, 83.02it/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:  53%|█████▎    | 5320/10000 [01:03<00:56, 83.02it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:03<00:55, 83.79it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5330/10000 [01:04<00:55, 83.79it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:04<00:55, 84.04it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  53%|█████▎    | 5340/10000 [01:04<00:55, 84.04it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:04<00:55, 84.30it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5350/10000 [01:04<00:55, 84.30it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:04<00:54, 84.40it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▎    | 5360/10000 [01:04<00:54, 84.40it/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:  54%|█████▎    | 5370/10000 [01:04<00:54, 84.60it/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:  54%|█████▎    | 5370/10000 [01:04<00:54, 84.60it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:04<00:56, 82.45it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5380/10000 [01:04<00:56, 82.45it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:04<00:55, 82.75it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5390/10000 [01:04<00:55, 82.75it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:04<00:55, 83.42it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5400/10000 [01:04<00:55, 83.42it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:04<00:56, 81.10it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5410/10000 [01:05<00:56, 81.10it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:05<00:55, 82.40it/s, Loss=0.00024, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5420/10000 [01:05<00:55, 82.40it/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:  54%|█████▍    | 5430/10000 [01:05<00:54, 83.34it/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:  54%|█████▍    | 5430/10000 [01:05<00:54, 83.34it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:05<00:54, 84.03it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  54%|█████▍    | 5440/10000 [01:05<00:54, 84.03it/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:  55%|█████▍    | 5450/10000 [01:05<00:53, 84.48it/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:  55%|█████▍    | 5450/10000 [01:05<00:53, 84.48it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:05<00:53, 84.78it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5460/10000 [01:05<00:53, 84.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:05<00:53, 85.16it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5470/10000 [01:05<00:53, 85.16it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:05<00:52, 85.30it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5480/10000 [01:05<00:52, 85.30it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:05<00:52, 85.35it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  55%|█████▍    | 5490/10000 [01:05<00:52, 85.35it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:05<00:52, 85.52it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5500/10000 [01:06<00:52, 85.52it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:06<00:54, 82.49it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5510/10000 [01:06<00:54, 82.49it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:06<00:53, 83.20it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5520/10000 [01:06<00:53, 83.20it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:06<00:53, 83.71it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5530/10000 [01:06<00:53, 83.71it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:06<00:52, 84.31it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  55%|█████▌    | 5540/10000 [01:06<00:52, 84.31it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:06<00:52, 84.85it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5550/10000 [01:06<00:52, 84.85it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:06<00:52, 85.12it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5560/10000 [01:06<00:52, 85.12it/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:  56%|█████▌    | 5570/10000 [01:06<00:52, 85.13it/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:  56%|█████▌    | 5570/10000 [01:06<00:52, 85.13it/s, Loss=0.00022, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:06<00:51, 85.23it/s, Loss=0.00022, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5580/10000 [01:07<00:51, 85.23it/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:  56%|█████▌    | 5590/10000 [01:07<00:51, 85.31it/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:  56%|█████▌    | 5590/10000 [01:07<00:51, 85.31it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:07<00:51, 85.44it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5600/10000 [01:07<00:51, 85.44it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:07<00:53, 82.53it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5610/10000 [01:07<00:53, 82.53it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:07<00:52, 83.26it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▌    | 5620/10000 [01:07<00:52, 83.26it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:07<00:52, 83.83it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5630/10000 [01:07<00:52, 83.83it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:07<00:51, 84.51it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5640/10000 [01:07<00:51, 84.51it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:07<00:51, 84.96it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  56%|█████▋    | 5650/10000 [01:07<00:51, 84.96it/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:  57%|█████▋    | 5660/10000 [01:07<00:50, 85.16it/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:  57%|█████▋    | 5660/10000 [01:08<00:50, 85.16it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:08<00:50, 85.03it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5670/10000 [01:08<00:50, 85.03it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:08<00:50, 85.33it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5680/10000 [01:08<00:50, 85.33it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:08<00:50, 85.49it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5690/10000 [01:08<00:50, 85.49it/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:  57%|█████▋    | 5700/10000 [01:08<00:50, 85.42it/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:  57%|█████▋    | 5700/10000 [01:08<00:50, 85.42it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:08<00:52, 82.43it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5710/10000 [01:08<00:52, 82.43it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:08<00:51, 83.35it/s, Loss=0.00024, L1 Loss=0.00007, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5720/10000 [01:08<00:51, 83.35it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:08<00:50, 83.95it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5730/10000 [01:08<00:50, 83.95it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:08<00:50, 84.39it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  57%|█████▋    | 5740/10000 [01:08<00:50, 84.39it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:08<00:50, 84.69it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  57%|█████▊    | 5750/10000 [01:09<00:50, 84.69it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:09<00:49, 84.88it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5760/10000 [01:09<00:49, 84.88it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:09<00:49, 84.87it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5770/10000 [01:09<00:49, 84.87it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:09<00:49, 85.17it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5780/10000 [01:09<00:49, 85.17it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:09<00:49, 85.17it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5790/10000 [01:09<00:49, 85.17it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:09<00:49, 85.29it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5800/10000 [01:09<00:49, 85.29it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:09<00:51, 82.07it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5810/10000 [01:09<00:51, 82.07it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:09<00:50, 82.91it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5820/10000 [01:09<00:50, 82.91it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:09<00:49, 83.67it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5830/10000 [01:10<00:49, 83.67it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:10<00:49, 84.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5840/10000 [01:10<00:49, 84.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:10<00:49, 84.42it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  58%|█████▊    | 5850/10000 [01:10<00:49, 84.42it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:10<00:48, 84.85it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5860/10000 [01:10<00:48, 84.85it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:10<00:48, 85.08it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  59%|█████▊    | 5870/10000 [01:10<00:48, 85.08it/s, Loss=0.00022, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:10<00:48, 85.12it/s, Loss=0.00022, L1 Loss=0.00007, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5880/10000 [01:10<00:48, 85.12it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:10<00:48, 85.19it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5890/10000 [01:10<00:48, 85.19it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:10<00:48, 85.15it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5900/10000 [01:10<00:48, 85.15it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:10<00:49, 82.21it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5910/10000 [01:10<00:49, 82.21it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:10<00:49, 83.20it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5920/10000 [01:11<00:49, 83.20it/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:  59%|█████▉    | 5930/10000 [01:11<00:48, 83.49it/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:  59%|█████▉    | 5930/10000 [01:11<00:48, 83.49it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:11<00:48, 83.95it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  59%|█████▉    | 5940/10000 [01:11<00:48, 83.95it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:11<00:47, 84.44it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5950/10000 [01:11<00:47, 84.44it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:11<00:47, 84.41it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5960/10000 [01:11<00:47, 84.41it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:11<00:47, 84.51it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5970/10000 [01:11<00:47, 84.51it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:11<00:47, 84.77it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5980/10000 [01:11<00:47, 84.77it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:11<00:47, 84.86it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  60%|█████▉    | 5990/10000 [01:11<00:47, 84.86it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:11<00:47, 84.83it/s, Loss=0.00025, L1 Loss=0.00008, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6000/10000 [01:12<00:47, 84.83it/s, Loss=0.00408, L1 Loss=0.00047, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00153, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:12<00:48, 82.02it/s, Loss=0.00408, L1 Loss=0.00047, Depth Loss=0.00023, Normal Loss=0.00000, Seg Loss=0.00153, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6010/10000 [01:12<00:48, 82.02it/s, Loss=0.00159, L1 Loss=0.00031, Depth Loss=0.00196, Normal Loss=0.00000, Seg Loss=0.00091, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:12<00:48, 82.78it/s, Loss=0.00159, L1 Loss=0.00031, Depth Loss=0.00196, Normal Loss=0.00000, Seg Loss=0.00091, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6020/10000 [01:12<00:48, 82.78it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:12<00:47, 83.15it/s, Loss=0.00058, L1 Loss=0.00011, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00026, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6030/10000 [01:12<00:47, 83.15it/s, Loss=0.00039, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:12<00:47, 83.49it/s, Loss=0.00039, L1 Loss=0.00009, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00022, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6040/10000 [01:12<00:47, 83.49it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:12<00:47, 83.55it/s, Loss=0.00028, L1 Loss=0.00006, Depth Loss=0.00052, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  60%|██████    | 6050/10000 [01:12<00:47, 83.55it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:12<00:47, 83.62it/s, Loss=0.00026, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6060/10000 [01:12<00:47, 83.62it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:12<00:46, 83.81it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6070/10000 [01:12<00:46, 83.81it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:12<00:46, 84.06it/s, Loss=0.00024, L1 Loss=0.00005, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6080/10000 [01:13<00:46, 84.06it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:13<00:46, 83.97it/s, Loss=0.00023, L1 Loss=0.00005, Depth Loss=0.00062, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6090/10000 [01:13<00:46, 83.97it/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:  61%|██████    | 6100/10000 [01:13<00:46, 83.93it/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:  61%|██████    | 6100/10000 [01:13<00:46, 83.93it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:13<00:47, 81.05it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6110/10000 [01:13<00:47, 81.05it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:13<00:47, 81.73it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████    | 6120/10000 [01:13<00:47, 81.73it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:13<00:47, 82.34it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00049, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6130/10000 [01:13<00:47, 82.34it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:13<00:46, 82.94it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  61%|██████▏   | 6140/10000 [01:13<00:46, 82.94it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:13<00:46, 83.37it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6150/10000 [01:13<00:46, 83.37it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:13<00:46, 83.44it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6160/10000 [01:13<00:46, 83.44it/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:  62%|██████▏   | 6170/10000 [01:13<00:45, 83.73it/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:  62%|██████▏   | 6170/10000 [01:14<00:45, 83.73it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:14<00:45, 83.75it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00048, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6180/10000 [01:14<00:45, 83.75it/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:  62%|██████▏   | 6190/10000 [01:14<00:45, 83.88it/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:  62%|██████▏   | 6190/10000 [01:14<00:45, 83.88it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:14<00:45, 83.91it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00071, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6200/10000 [01:14<00:45, 83.91it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:14<00:46, 81.09it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6210/10000 [01:14<00:46, 81.09it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:14<00:46, 81.92it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6220/10000 [01:14<00:46, 81.92it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:14<00:45, 82.55it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6230/10000 [01:14<00:45, 82.55it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:14<00:45, 83.19it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▏   | 6240/10000 [01:14<00:45, 83.19it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:14<00:44, 83.54it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  62%|██████▎   | 6250/10000 [01:15<00:44, 83.54it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:15<00:44, 83.67it/s, Loss=0.00022, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6260/10000 [01:15<00:44, 83.67it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:15<00:44, 83.88it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6270/10000 [01:15<00:44, 83.88it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:15<00:44, 83.96it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6280/10000 [01:15<00:44, 83.96it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:15<00:44, 83.90it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6290/10000 [01:15<00:44, 83.90it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:15<00:44, 84.06it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6300/10000 [01:15<00:44, 84.06it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:15<00:45, 81.27it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6310/10000 [01:15<00:45, 81.27it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:15<00:44, 82.16it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6320/10000 [01:15<00:44, 82.16it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:15<00:44, 82.51it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6330/10000 [01:16<00:44, 82.51it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:16<00:44, 82.94it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  63%|██████▎   | 6340/10000 [01:16<00:44, 82.94it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:16<00:43, 83.37it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6350/10000 [01:16<00:43, 83.37it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:16<00:43, 83.59it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6360/10000 [01:16<00:43, 83.59it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:16<00:43, 83.80it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  64%|██████▎   | 6370/10000 [01:16<00:43, 83.80it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:16<00:43, 83.93it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6380/10000 [01:16<00:43, 83.93it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:16<00:42, 84.11it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6390/10000 [01:16<00:42, 84.11it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:16<00:42, 84.31it/s, Loss=0.00023, L1 Loss=0.00007, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6400/10000 [01:16<00:42, 84.31it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:16<00:44, 81.47it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6410/10000 [01:16<00:44, 81.47it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:16<00:43, 82.42it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6420/10000 [01:17<00:43, 82.42it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:17<00:42, 83.03it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6430/10000 [01:17<00:42, 83.03it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:17<00:42, 83.54it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6440/10000 [01:17<00:42, 83.54it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:17<00:42, 83.86it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  64%|██████▍   | 6450/10000 [01:17<00:42, 83.86it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:17<00:42, 83.83it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6460/10000 [01:17<00:42, 83.83it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:17<00:42, 84.01it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6470/10000 [01:17<00:42, 84.01it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:17<00:41, 84.11it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6480/10000 [01:17<00:41, 84.11it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:17<00:41, 84.16it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  65%|██████▍   | 6490/10000 [01:17<00:41, 84.16it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:17<00:41, 84.34it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6500/10000 [01:18<00:41, 84.34it/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:  65%|██████▌   | 6510/10000 [01:18<00:42, 81.51it/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:  65%|██████▌   | 6510/10000 [01:18<00:42, 81.51it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:18<00:42, 82.22it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6520/10000 [01:18<00:42, 82.22it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:18<00:41, 83.02it/s, Loss=0.00022, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  65%|██████▌   | 6530/10000 [01:18<00:41, 83.02it/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:  65%|██████▌   | 6540/10000 [01:18<00:41, 83.50it/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:  65%|██████▌   | 6540/10000 [01:18<00:41, 83.50it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:18<00:41, 83.82it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6550/10000 [01:18<00:41, 83.82it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:18<00:41, 83.85it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6560/10000 [01:18<00:41, 83.85it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:18<00:40, 84.10it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6570/10000 [01:18<00:40, 84.10it/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:  66%|██████▌   | 6580/10000 [01:18<00:40, 84.09it/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:  66%|██████▌   | 6580/10000 [01:19<00:40, 84.09it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:19<00:40, 84.22it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6590/10000 [01:19<00:40, 84.22it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:19<00:40, 84.28it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6600/10000 [01:19<00:40, 84.28it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:19<00:41, 81.47it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6610/10000 [01:19<00:41, 81.47it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:19<00:41, 82.41it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▌   | 6620/10000 [01:19<00:41, 82.41it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:19<00:40, 82.98it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6630/10000 [01:19<00:40, 82.98it/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:  66%|██████▋   | 6640/10000 [01:19<00:40, 83.45it/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:  66%|██████▋   | 6640/10000 [01:19<00:40, 83.45it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:19<00:40, 83.74it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  66%|██████▋   | 6650/10000 [01:19<00:40, 83.74it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:19<00:39, 83.97it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6660/10000 [01:19<00:39, 83.97it/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:  67%|██████▋   | 6670/10000 [01:19<00:39, 84.26it/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:  67%|██████▋   | 6670/10000 [01:20<00:39, 84.26it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:20<00:39, 84.45it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6680/10000 [01:20<00:39, 84.45it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:20<00:39, 84.55it/s, Loss=0.00022, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6690/10000 [01:20<00:39, 84.55it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:20<00:39, 84.57it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6700/10000 [01:20<00:39, 84.57it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:20<00:40, 81.73it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6710/10000 [01:20<00:40, 81.73it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:20<00:39, 82.73it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6720/10000 [01:20<00:39, 82.73it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:20<00:39, 83.47it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6730/10000 [01:20<00:39, 83.47it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:20<00:38, 83.96it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  67%|██████▋   | 6740/10000 [01:20<00:38, 83.96it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:20<00:38, 84.50it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6750/10000 [01:21<00:38, 84.50it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:21<00:38, 84.44it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6760/10000 [01:21<00:38, 84.44it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:21<00:38, 84.55it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6770/10000 [01:21<00:38, 84.55it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:21<00:38, 84.63it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6780/10000 [01:21<00:38, 84.63it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:21<00:37, 84.71it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6790/10000 [01:21<00:37, 84.71it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:21<00:37, 84.86it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6800/10000 [01:21<00:37, 84.86it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:21<00:38, 81.94it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6810/10000 [01:21<00:38, 81.94it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:21<00:38, 82.70it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6820/10000 [01:21<00:38, 82.70it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:21<00:38, 83.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6830/10000 [01:21<00:38, 83.24it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:21<00:37, 83.71it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6840/10000 [01:22<00:37, 83.71it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:22<00:37, 84.00it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  68%|██████▊   | 6850/10000 [01:22<00:37, 84.00it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:22<00:37, 84.05it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00060, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6860/10000 [01:22<00:37, 84.05it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:22<00:37, 84.28it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▊   | 6870/10000 [01:22<00:37, 84.28it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:22<00:37, 84.26it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6880/10000 [01:22<00:37, 84.26it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:22<00:36, 84.44it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6890/10000 [01:22<00:36, 84.44it/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:  69%|██████▉   | 6900/10000 [01:22<00:36, 84.37it/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:  69%|██████▉   | 6900/10000 [01:22<00:36, 84.37it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:22<00:37, 81.69it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6910/10000 [01:22<00:37, 81.69it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:22<00:37, 82.79it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6920/10000 [01:23<00:37, 82.79it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:23<00:36, 83.45it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6930/10000 [01:23<00:36, 83.45it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:23<00:36, 83.96it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  69%|██████▉   | 6940/10000 [01:23<00:36, 83.96it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:23<00:36, 84.29it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6950/10000 [01:23<00:36, 84.29it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:23<00:36, 84.37it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6960/10000 [01:23<00:36, 84.37it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:23<00:35, 84.57it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6970/10000 [01:23<00:35, 84.57it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:23<00:35, 84.54it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6980/10000 [01:23<00:35, 84.54it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:23<00:35, 84.66it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  70%|██████▉   | 6990/10000 [01:23<00:35, 84.66it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:23<00:35, 84.81it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7000/10000 [01:24<00:35, 84.81it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:24<00:55, 54.04it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7010/10000 [01:24<00:55, 54.04it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:24<00:49, 60.67it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7020/10000 [01:24<00:49, 60.67it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:24<00:44, 66.24it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7030/10000 [01:24<00:44, 66.24it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:24<00:41, 70.83it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  70%|███████   | 7040/10000 [01:24<00:41, 70.83it/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:  70%|███████   | 7050/10000 [01:24<00:39, 74.39it/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:  70%|███████   | 7050/10000 [01:24<00:39, 74.39it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:24<00:38, 77.21it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7060/10000 [01:24<00:38, 77.21it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:24<00:36, 79.35it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7070/10000 [01:25<00:36, 79.35it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:25<00:36, 81.02it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7080/10000 [01:25<00:36, 81.02it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:25<00:35, 82.23it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7090/10000 [01:25<00:35, 82.23it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:25<00:35, 82.84it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7100/10000 [01:25<00:35, 82.84it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:25<00:36, 80.01it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7110/10000 [01:25<00:36, 80.01it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:25<00:35, 81.62it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  71%|███████   | 7120/10000 [01:25<00:35, 81.62it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:25<00:34, 82.60it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7130/10000 [01:25<00:34, 82.60it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:25<00:34, 83.25it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  71%|███████▏  | 7140/10000 [01:25<00:34, 83.25it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:25<00:34, 83.44it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7150/10000 [01:26<00:34, 83.44it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:26<00:33, 83.91it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7160/10000 [01:26<00:33, 83.91it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:26<00:33, 84.53it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7170/10000 [01:26<00:33, 84.53it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:26<00:33, 84.60it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7180/10000 [01:26<00:33, 84.60it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:26<00:33, 84.45it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7190/10000 [01:26<00:33, 84.45it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:26<00:33, 84.73it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7200/10000 [01:26<00:33, 84.73it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:26<00:34, 81.89it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7210/10000 [01:26<00:34, 81.89it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:26<00:33, 82.83it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7220/10000 [01:26<00:33, 82.83it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:26<00:33, 83.46it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7230/10000 [01:26<00:33, 83.46it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:26<00:32, 83.95it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  72%|███████▏  | 7240/10000 [01:27<00:32, 83.95it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:27<00:32, 84.13it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  72%|███████▎  | 7250/10000 [01:27<00:32, 84.13it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:27<00:32, 84.18it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7260/10000 [01:27<00:32, 84.18it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:27<00:32, 84.34it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7270/10000 [01:27<00:32, 84.34it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:27<00:32, 84.48it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7280/10000 [01:27<00:32, 84.48it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:27<00:32, 84.41it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7290/10000 [01:27<00:32, 84.41it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:27<00:31, 84.68it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7300/10000 [01:27<00:31, 84.68it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:27<00:32, 81.93it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7310/10000 [01:27<00:32, 81.93it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:27<00:32, 82.73it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7320/10000 [01:28<00:32, 82.73it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:28<00:32, 83.33it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7330/10000 [01:28<00:32, 83.33it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:28<00:31, 83.29it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  73%|███████▎  | 7340/10000 [01:28<00:31, 83.29it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:28<00:31, 83.90it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7350/10000 [01:28<00:31, 83.90it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:28<00:31, 84.10it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7360/10000 [01:28<00:31, 84.10it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:28<00:31, 84.39it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▎  | 7370/10000 [01:28<00:31, 84.39it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:28<00:31, 84.35it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7380/10000 [01:28<00:31, 84.35it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:28<00:30, 84.34it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7390/10000 [01:28<00:30, 84.34it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:28<00:30, 84.70it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7400/10000 [01:29<00:30, 84.70it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:29<00:31, 81.85it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7410/10000 [01:29<00:31, 81.85it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:29<00:31, 82.81it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7420/10000 [01:29<00:31, 82.81it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:29<00:30, 83.45it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7430/10000 [01:29<00:30, 83.45it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:29<00:30, 83.90it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7440/10000 [01:29<00:30, 83.90it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:29<00:30, 84.17it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  74%|███████▍  | 7450/10000 [01:29<00:30, 84.17it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:29<00:30, 84.31it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7460/10000 [01:29<00:30, 84.31it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:29<00:29, 84.60it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7470/10000 [01:29<00:29, 84.60it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:29<00:29, 84.51it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7480/10000 [01:29<00:29, 84.51it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:29<00:29, 84.61it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▍  | 7490/10000 [01:30<00:29, 84.61it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:30<00:29, 84.56it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7500/10000 [01:30<00:29, 84.56it/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:  75%|███████▌  | 7510/10000 [01:30<00:30, 81.79it/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:  75%|███████▌  | 7510/10000 [01:30<00:30, 81.79it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:30<00:29, 82.90it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7520/10000 [01:30<00:29, 82.90it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:30<00:29, 83.60it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7530/10000 [01:30<00:29, 83.60it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:30<00:29, 84.18it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  75%|███████▌  | 7540/10000 [01:30<00:29, 84.18it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:30<00:29, 84.41it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7550/10000 [01:30<00:29, 84.41it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:30<00:28, 84.62it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7560/10000 [01:30<00:28, 84.62it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:30<00:28, 84.50it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7570/10000 [01:31<00:28, 84.50it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:31<00:28, 84.58it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7580/10000 [01:31<00:28, 84.58it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:31<00:28, 84.71it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7590/10000 [01:31<00:28, 84.71it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:31<00:28, 84.66it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7600/10000 [01:31<00:28, 84.66it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:31<00:29, 81.89it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7610/10000 [01:31<00:29, 81.89it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:31<00:28, 82.71it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  76%|███████▌  | 7620/10000 [01:31<00:28, 82.71it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:31<00:28, 83.41it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7630/10000 [01:31<00:28, 83.41it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:31<00:28, 83.89it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7640/10000 [01:31<00:28, 83.89it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:31<00:27, 84.21it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  76%|███████▋  | 7650/10000 [01:31<00:27, 84.21it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:31<00:27, 84.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7660/10000 [01:32<00:27, 84.24it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:32<00:27, 84.36it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7670/10000 [01:32<00:27, 84.36it/s, Loss=0.00020, L1 Loss=0.00006, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:32<00:27, 84.42it/s, Loss=0.00020, L1 Loss=0.00006, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7680/10000 [01:32<00:27, 84.42it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:32<00:27, 84.40it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7690/10000 [01:32<00:27, 84.40it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:32<00:27, 84.51it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7700/10000 [01:32<00:27, 84.51it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:32<00:28, 81.66it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7710/10000 [01:32<00:28, 81.66it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:32<00:27, 82.50it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7720/10000 [01:32<00:27, 82.50it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:32<00:27, 82.50it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7730/10000 [01:32<00:27, 82.50it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:32<00:27, 82.81it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  77%|███████▋  | 7740/10000 [01:33<00:27, 82.81it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:33<00:26, 83.42it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7750/10000 [01:33<00:26, 83.42it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:33<00:26, 82.98it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7760/10000 [01:33<00:26, 82.98it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:33<00:26, 83.46it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7770/10000 [01:33<00:26, 83.46it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:33<00:26, 83.81it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7780/10000 [01:33<00:26, 83.81it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:33<00:26, 84.15it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7790/10000 [01:33<00:26, 84.15it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:33<00:26, 84.26it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7800/10000 [01:33<00:26, 84.26it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:33<00:26, 81.35it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7810/10000 [01:33<00:26, 81.35it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:33<00:26, 82.27it/s, Loss=0.00021, L1 Loss=0.00006, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7820/10000 [01:34<00:26, 82.27it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:34<00:26, 82.91it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7830/10000 [01:34<00:26, 82.91it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:34<00:25, 83.58it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7840/10000 [01:34<00:25, 83.58it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:34<00:25, 84.07it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  78%|███████▊  | 7850/10000 [01:34<00:25, 84.07it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:34<00:25, 84.10it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7860/10000 [01:34<00:25, 84.10it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:34<00:25, 84.33it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▊  | 7870/10000 [01:34<00:25, 84.33it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:34<00:25, 84.29it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7880/10000 [01:34<00:25, 84.29it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:34<00:24, 84.40it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7890/10000 [01:34<00:24, 84.40it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:34<00:24, 84.43it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7900/10000 [01:34<00:24, 84.43it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:34<00:25, 81.66it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7910/10000 [01:35<00:25, 81.66it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:35<00:25, 82.64it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7920/10000 [01:35<00:25, 82.64it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:35<00:24, 83.23it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7930/10000 [01:35<00:24, 83.23it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:35<00:24, 83.81it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  79%|███████▉  | 7940/10000 [01:35<00:24, 83.81it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:35<00:24, 84.14it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7950/10000 [01:35<00:24, 84.14it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:35<00:24, 84.30it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7960/10000 [01:35<00:24, 84.30it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:35<00:24, 84.51it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7970/10000 [01:35<00:24, 84.51it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:35<00:23, 84.54it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7980/10000 [01:35<00:23, 84.54it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:35<00:23, 84.66it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|███████▉  | 7990/10000 [01:36<00:23, 84.66it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:36<00:23, 84.80it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8000/10000 [01:36<00:23, 84.80it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:36<00:24, 81.78it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8010/10000 [01:36<00:24, 81.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:36<00:23, 82.56it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8020/10000 [01:36<00:23, 82.56it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:36<00:23, 83.21it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8030/10000 [01:36<00:23, 83.21it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:36<00:23, 83.57it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8040/10000 [01:36<00:23, 83.57it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:36<00:23, 84.13it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  80%|████████  | 8050/10000 [01:36<00:23, 84.13it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:36<00:23, 83.68it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8060/10000 [01:36<00:23, 83.68it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:36<00:23, 83.60it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8070/10000 [01:37<00:23, 83.60it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:37<00:22, 84.13it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8080/10000 [01:37<00:22, 84.13it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:37<00:22, 84.33it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8090/10000 [01:37<00:22, 84.33it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:37<00:22, 84.23it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8100/10000 [01:37<00:22, 84.23it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:37<00:23, 81.68it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8110/10000 [01:37<00:23, 81.68it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:37<00:22, 82.77it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████  | 8120/10000 [01:37<00:22, 82.77it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:37<00:22, 83.70it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8130/10000 [01:37<00:22, 83.70it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:37<00:22, 83.83it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  81%|████████▏ | 8140/10000 [01:37<00:22, 83.83it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:37<00:22, 83.97it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8150/10000 [01:37<00:22, 83.97it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:37<00:21, 84.44it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8160/10000 [01:38<00:21, 84.44it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:38<00:21, 84.78it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8170/10000 [01:38<00:21, 84.78it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:38<00:21, 84.91it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8180/10000 [01:38<00:21, 84.91it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:38<00:21, 84.92it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8190/10000 [01:38<00:21, 84.92it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:38<00:21, 85.01it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8200/10000 [01:38<00:21, 85.01it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:38<00:21, 82.02it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8210/10000 [01:38<00:21, 82.02it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:38<00:21, 82.89it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8220/10000 [01:38<00:21, 82.89it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:38<00:21, 83.61it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8230/10000 [01:38<00:21, 83.61it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:38<00:20, 83.98it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▏ | 8240/10000 [01:39<00:20, 83.98it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:39<00:20, 84.28it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  82%|████████▎ | 8250/10000 [01:39<00:20, 84.28it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:39<00:20, 84.52it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8260/10000 [01:39<00:20, 84.52it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:39<00:20, 84.70it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8270/10000 [01:39<00:20, 84.70it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:39<00:20, 84.59it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8280/10000 [01:39<00:20, 84.59it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:39<00:20, 84.40it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8290/10000 [01:39<00:20, 84.40it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:39<00:20, 84.72it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8300/10000 [01:39<00:20, 84.72it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:39<00:20, 82.00it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8310/10000 [01:39<00:20, 82.00it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:39<00:20, 82.67it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8320/10000 [01:39<00:20, 82.67it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:39<00:19, 83.57it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8330/10000 [01:40<00:19, 83.57it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:40<00:19, 83.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  83%|████████▎ | 8340/10000 [01:40<00:19, 83.78it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:40<00:19, 84.12it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8350/10000 [01:40<00:19, 84.12it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:40<00:19, 84.39it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8360/10000 [01:40<00:19, 84.39it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:40<00:19, 84.41it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  84%|████████▎ | 8370/10000 [01:40<00:19, 84.41it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:40<00:19, 84.62it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8380/10000 [01:40<00:19, 84.62it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:40<00:19, 84.58it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8390/10000 [01:40<00:19, 84.58it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:40<00:18, 84.65it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8400/10000 [01:40<00:18, 84.65it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:40<00:19, 81.75it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8410/10000 [01:41<00:19, 81.75it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:41<00:19, 82.57it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8420/10000 [01:41<00:19, 82.57it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:41<00:18, 83.17it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8430/10000 [01:41<00:18, 83.17it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:41<00:18, 83.81it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8440/10000 [01:41<00:18, 83.81it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:41<00:18, 83.92it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  84%|████████▍ | 8450/10000 [01:41<00:18, 83.92it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:41<00:18, 84.17it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8460/10000 [01:41<00:18, 84.17it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:41<00:18, 84.41it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8470/10000 [01:41<00:18, 84.41it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:41<00:17, 84.59it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8480/10000 [01:41<00:17, 84.59it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:41<00:17, 84.59it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  85%|████████▍ | 8490/10000 [01:42<00:17, 84.59it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:42<00:17, 84.65it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8500/10000 [01:42<00:17, 84.65it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:42<00:18, 81.79it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8510/10000 [01:42<00:18, 81.79it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:42<00:17, 82.57it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8520/10000 [01:42<00:17, 82.57it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:42<00:17, 83.18it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8530/10000 [01:42<00:17, 83.18it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:42<00:17, 83.70it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  85%|████████▌ | 8540/10000 [01:42<00:17, 83.70it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:42<00:17, 84.17it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8550/10000 [01:42<00:17, 84.17it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:42<00:17, 84.33it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8560/10000 [01:42<00:17, 84.33it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:42<00:16, 84.46it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8570/10000 [01:42<00:16, 84.46it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:42<00:16, 84.42it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8580/10000 [01:43<00:16, 84.42it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:43<00:16, 84.39it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8590/10000 [01:43<00:16, 84.39it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:43<00:16, 84.47it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8600/10000 [01:43<00:16, 84.47it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:43<00:17, 81.17it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8610/10000 [01:43<00:17, 81.17it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:43<00:16, 82.25it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  86%|████████▌ | 8620/10000 [01:43<00:16, 82.25it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:43<00:16, 83.16it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8630/10000 [01:43<00:16, 83.16it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:43<00:16, 83.46it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8640/10000 [01:43<00:16, 83.46it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:43<00:16, 83.76it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  86%|████████▋ | 8650/10000 [01:43<00:16, 83.76it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:43<00:15, 84.00it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8660/10000 [01:44<00:15, 84.00it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:44<00:15, 84.24it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8670/10000 [01:44<00:15, 84.24it/s, Loss=0.00020, L1 Loss=0.00006, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:44<00:15, 84.56it/s, Loss=0.00020, L1 Loss=0.00006, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8680/10000 [01:44<00:15, 84.56it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:44<00:15, 84.57it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8690/10000 [01:44<00:15, 84.57it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:44<00:15, 84.59it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8700/10000 [01:44<00:15, 84.59it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:44<00:15, 81.79it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8710/10000 [01:44<00:15, 81.79it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:44<00:15, 82.74it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8720/10000 [01:44<00:15, 82.74it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:44<00:15, 83.15it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8730/10000 [01:44<00:15, 83.15it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:44<00:15, 83.70it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  87%|████████▋ | 8740/10000 [01:45<00:15, 83.70it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:45<00:14, 84.01it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8750/10000 [01:45<00:14, 84.01it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:45<00:14, 84.44it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8760/10000 [01:45<00:14, 84.44it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:45<00:14, 84.64it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8770/10000 [01:45<00:14, 84.64it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:45<00:14, 84.65it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8780/10000 [01:45<00:14, 84.65it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:45<00:14, 84.74it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8790/10000 [01:45<00:14, 84.74it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:45<00:14, 84.78it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8800/10000 [01:45<00:14, 84.78it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:45<00:14, 81.99it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8810/10000 [01:45<00:14, 81.99it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:45<00:14, 82.69it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8820/10000 [01:45<00:14, 82.69it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:45<00:14, 83.24it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8830/10000 [01:46<00:14, 83.24it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:46<00:13, 83.82it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8840/10000 [01:46<00:13, 83.82it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:46<00:13, 84.10it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  88%|████████▊ | 8850/10000 [01:46<00:13, 84.10it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:46<00:13, 84.17it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8860/10000 [01:46<00:13, 84.17it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:46<00:13, 84.30it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00041, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▊ | 8870/10000 [01:46<00:13, 84.30it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:46<00:13, 84.52it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8880/10000 [01:46<00:13, 84.52it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:46<00:13, 84.37it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8890/10000 [01:46<00:13, 84.37it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:46<00:13, 84.56it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8900/10000 [01:46<00:13, 84.56it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:46<00:13, 81.97it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8910/10000 [01:47<00:13, 81.97it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:47<00:13, 82.85it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8920/10000 [01:47<00:13, 82.85it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:47<00:12, 83.53it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8930/10000 [01:47<00:12, 83.53it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:47<00:12, 83.93it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  89%|████████▉ | 8940/10000 [01:47<00:12, 83.93it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:47<00:12, 84.26it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8950/10000 [01:47<00:12, 84.26it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:47<00:12, 84.38it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8960/10000 [01:47<00:12, 84.38it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:47<00:12, 84.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8970/10000 [01:47<00:12, 84.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:47<00:11, 85.06it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8980/10000 [01:47<00:11, 85.06it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:47<00:11, 85.05it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  90%|████████▉ | 8990/10000 [01:47<00:11, 85.05it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:47<00:11, 85.16it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9000/10000 [01:48<00:11, 85.16it/s, Loss=0.00404, L1 Loss=0.00084, Depth Loss=0.00017, Normal Loss=0.00000, Seg Loss=0.00276, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:48<00:12, 82.17it/s, Loss=0.00404, L1 Loss=0.00084, Depth Loss=0.00017, Normal Loss=0.00000, Seg Loss=0.00276, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9010/10000 [01:48<00:12, 82.17it/s, Loss=0.00118, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:48<00:11, 82.69it/s, Loss=0.00118, L1 Loss=0.00017, Depth Loss=0.00084, Normal Loss=0.00000, Seg Loss=0.00044, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9020/10000 [01:48<00:11, 82.69it/s, Loss=0.00052, 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 [01:48<00:11, 82.46it/s, Loss=0.00052, 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 [01:48<00:11, 82.46it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:48<00:11, 82.50it/s, Loss=0.00038, L1 Loss=0.00012, Depth Loss=0.00088, Normal Loss=0.00000, Seg Loss=0.00027, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9040/10000 [01:48<00:11, 82.50it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:48<00:11, 82.47it/s, Loss=0.00030, L1 Loss=0.00006, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  90%|█████████ | 9050/10000 [01:48<00:11, 82.47it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:48<00:11, 82.84it/s, Loss=0.00025, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9060/10000 [01:48<00:11, 82.84it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:48<00:11, 82.96it/s, Loss=0.00023, L1 Loss=0.00004, Depth Loss=0.00050, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9070/10000 [01:48<00:11, 82.96it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:48<00:11, 83.33it/s, Loss=0.00024, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00018, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9080/10000 [01:49<00:11, 83.33it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:49<00:10, 83.64it/s, Loss=0.00023, L1 Loss=0.00006, Depth Loss=0.00079, Normal Loss=0.00000, Seg Loss=0.00017, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9090/10000 [01:49<00:10, 83.64it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:49<00:10, 83.41it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9100/10000 [01:49<00:10, 83.41it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:49<00:11, 80.51it/s, Loss=0.00021, L1 Loss=0.00004, Depth Loss=0.00061, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9110/10000 [01:49<00:11, 80.51it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:49<00:10, 81.51it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  91%|█████████ | 9120/10000 [01:49<00:10, 81.51it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:49<00:10, 82.24it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00069, Normal Loss=0.00000, Seg Loss=0.00011, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9130/10000 [01:49<00:10, 82.24it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:49<00:10, 82.57it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00077, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  91%|█████████▏| 9140/10000 [01:49<00:10, 82.57it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:49<00:10, 82.80it/s, Loss=0.00021, L1 Loss=0.00005, Depth Loss=0.00078, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9150/10000 [01:49<00:10, 82.80it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:49<00:10, 83.13it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00047, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9160/10000 [01:50<00:10, 83.13it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:50<00:09, 83.28it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9170/10000 [01:50<00:09, 83.28it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:50<00:09, 83.51it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9180/10000 [01:50<00:09, 83.51it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:50<00:09, 83.60it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9190/10000 [01:50<00:09, 83.60it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:50<00:09, 83.53it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9200/10000 [01:50<00:09, 83.53it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:50<00:09, 80.82it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00045, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9210/10000 [01:50<00:09, 80.82it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [01:50<00:09, 81.74it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00070, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9220/10000 [01:50<00:09, 81.74it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [01:50<00:09, 82.47it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9230/10000 [01:50<00:09, 82.47it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [01:50<00:09, 82.94it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00016, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▏| 9240/10000 [01:51<00:09, 82.94it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [01:51<00:09, 83.17it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00059, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  92%|█████████▎| 9250/10000 [01:51<00:09, 83.17it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [01:51<00:08, 83.51it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9260/10000 [01:51<00:08, 83.51it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [01:51<00:08, 83.76it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9270/10000 [01:51<00:08, 83.76it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [01:51<00:08, 83.78it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9280/10000 [01:51<00:08, 83.78it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [01:51<00:08, 83.89it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9290/10000 [01:51<00:08, 83.89it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [01:51<00:08, 83.94it/s, Loss=0.00020, L1 Loss=0.00004, Depth Loss=0.00046, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9300/10000 [01:51<00:08, 83.94it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [01:51<00:08, 81.24it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00075, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9310/10000 [01:51<00:08, 81.24it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [01:51<00:08, 82.24it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00068, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9320/10000 [01:51<00:08, 82.24it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [01:51<00:08, 82.60it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9330/10000 [01:52<00:08, 82.60it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [01:52<00:07, 82.90it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  93%|█████████▎| 9340/10000 [01:52<00:07, 82.90it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [01:52<00:07, 83.16it/s, Loss=0.00020, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9350/10000 [01:52<00:07, 83.16it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [01:52<00:07, 83.45it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9360/10000 [01:52<00:07, 83.45it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [01:52<00:07, 83.62it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▎| 9370/10000 [01:52<00:07, 83.62it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [01:52<00:07, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9380/10000 [01:52<00:07, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [01:52<00:07, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00067, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9390/10000 [01:52<00:07, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [01:52<00:07, 83.90it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00010, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9400/10000 [01:52<00:07, 83.90it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [01:52<00:07, 80.82it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9410/10000 [01:53<00:07, 80.82it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [01:53<00:07, 81.92it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9420/10000 [01:53<00:07, 81.92it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [01:53<00:06, 82.59it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9430/10000 [01:53<00:06, 82.59it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [01:53<00:06, 82.95it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9440/10000 [01:53<00:06, 82.95it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [01:53<00:06, 83.40it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00066, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  94%|█████████▍| 9450/10000 [01:53<00:06, 83.40it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [01:53<00:06, 83.68it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9460/10000 [01:53<00:06, 83.68it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [01:53<00:06, 83.86it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00065, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9470/10000 [01:53<00:06, 83.86it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [01:53<00:06, 84.04it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9480/10000 [01:53<00:06, 84.04it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [01:53<00:06, 83.93it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00058, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▍| 9490/10000 [01:54<00:06, 83.93it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [01:54<00:05, 84.20it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9500/10000 [01:54<00:05, 84.20it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [01:54<00:06, 81.57it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9510/10000 [01:54<00:06, 81.57it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [01:54<00:05, 82.30it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9520/10000 [01:54<00:05, 82.30it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [01:54<00:05, 82.56it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9530/10000 [01:54<00:05, 82.56it/s, Loss=0.00019, L1 Loss=0.00006, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [01:54<00:05, 82.88it/s, Loss=0.00019, L1 Loss=0.00006, Depth Loss=0.00076, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  95%|█████████▌| 9540/10000 [01:54<00:05, 82.88it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [01:54<00:05, 82.72it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9550/10000 [01:54<00:05, 82.72it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [01:54<00:05, 83.02it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9560/10000 [01:54<00:05, 83.02it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [01:54<00:05, 83.13it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9570/10000 [01:54<00:05, 83.13it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [01:54<00:05, 83.34it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9580/10000 [01:55<00:05, 83.34it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [01:55<00:04, 83.41it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9590/10000 [01:55<00:04, 83.41it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [01:55<00:04, 83.58it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9600/10000 [01:55<00:04, 83.58it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [01:55<00:04, 80.89it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9610/10000 [01:55<00:04, 80.89it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [01:55<00:04, 81.78it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▌| 9620/10000 [01:55<00:04, 81.78it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [01:55<00:04, 82.47it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00043, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9630/10000 [01:55<00:04, 82.47it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [01:55<00:04, 82.90it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9640/10000 [01:55<00:04, 82.90it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [01:55<00:04, 83.41it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  96%|█████████▋| 9650/10000 [01:55<00:04, 83.41it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [01:55<00:04, 83.50it/s, Loss=0.00020, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9660/10000 [01:56<00:04, 83.50it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [01:56<00:03, 83.82it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9670/10000 [01:56<00:03, 83.82it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [01:56<00:03, 83.80it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9680/10000 [01:56<00:03, 83.80it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [01:56<00:03, 83.78it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9690/10000 [01:56<00:03, 83.78it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [01:56<00:03, 83.79it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9700/10000 [01:56<00:03, 83.79it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [01:56<00:03, 81.11it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9710/10000 [01:56<00:03, 81.11it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [01:56<00:03, 81.97it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9720/10000 [01:56<00:03, 81.97it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [01:56<00:03, 82.61it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9730/10000 [01:56<00:03, 82.61it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [01:56<00:03, 83.11it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  97%|█████████▋| 9740/10000 [01:57<00:03, 83.11it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [01:57<00:02, 83.34it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9750/10000 [01:57<00:02, 83.34it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [01:57<00:02, 83.66it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9760/10000 [01:57<00:02, 83.66it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [01:57<00:02, 83.78it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9770/10000 [01:57<00:02, 83.78it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [01:57<00:02, 83.71it/s, Loss=0.00019, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9780/10000 [01:57<00:02, 83.71it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [01:57<00:02, 84.23it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9790/10000 [01:57<00:02, 84.23it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [01:57<00:02, 84.13it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9800/10000 [01:57<00:02, 84.13it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [01:57<00:02, 81.41it/s, Loss=0.00018, L1 Loss=0.00005, Depth Loss=0.00073, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9810/10000 [01:57<00:02, 81.41it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [01:57<00:02, 82.15it/s, Loss=0.00018, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9820/10000 [01:57<00:02, 82.15it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [01:57<00:02, 82.79it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9830/10000 [01:58<00:02, 82.79it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [01:58<00:01, 83.36it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9840/10000 [01:58<00:01, 83.36it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00008, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [01:58<00:01, 83.80it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00008, Anisotropic Loss=0.00000]
Training progress:  98%|█████████▊| 9850/10000 [01:58<00:01, 83.80it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [01:58<00:01, 84.11it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00015, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9860/10000 [01:58<00:01, 84.11it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [01:58<00:01, 84.34it/s, Loss=0.00016, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▊| 9870/10000 [01:58<00:01, 84.34it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [01:58<00:01, 84.30it/s, Loss=0.00019, L1 Loss=0.00005, Depth Loss=0.00074, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9880/10000 [01:58<00:01, 84.30it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [01:58<00:01, 84.37it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9890/10000 [01:58<00:01, 84.37it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [01:58<00:01, 84.40it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00044, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9900/10000 [01:58<00:01, 84.40it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [01:58<00:01, 81.23it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00042, Normal Loss=0.00000, Seg Loss=0.00013, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9910/10000 [01:59<00:01, 81.23it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [01:59<00:00, 82.08it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00057, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9920/10000 [01:59<00:00, 82.08it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [01:59<00:00, 82.68it/s, Loss=0.00017, L1 Loss=0.00004, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9930/10000 [01:59<00:00, 82.68it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [01:59<00:00, 83.07it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00063, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress:  99%|█████████▉| 9940/10000 [01:59<00:00, 83.07it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [01:59<00:00, 83.30it/s, Loss=0.00019, L1 Loss=0.00004, Depth Loss=0.00072, Normal Loss=0.00000, Seg Loss=0.00014, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9950/10000 [01:59<00:00, 83.30it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [01:59<00:00, 83.47it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00064, Normal Loss=0.00000, Seg Loss=0.00009, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9960/10000 [01:59<00:00, 83.47it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [01:59<00:00, 83.59it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00054, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9970/10000 [01:59<00:00, 83.59it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [01:59<00:00, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9980/10000 [01:59<00:00, 83.87it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [01:59<00:00, 84.09it/s, Loss=0.00017, L1 Loss=0.00003, Depth Loss=0.00055, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|█████████▉| 9990/10000 [02:00<00:00, 84.09it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:00<00:00, 84.19it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
Training progress: 100%|██████████| 10000/10000 [02:00<00:00, 83.31it/s, Loss=0.00018, L1 Loss=0.00003, Depth Loss=0.00056, Normal Loss=0.00000, Seg Loss=0.00012, Anisotropic Loss=0.00000]
-
-[ITER 7000] Saving Gaussians [28/10 14:22:28]
-
-[ITER 10000] Saving Gaussians [28/10 14:23:04]
-
-Training complete. [28/10 14:23:04]
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\ No newline at end of file
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cfg_args b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/cfg_args
deleted file mode 100644
index 3dbf1326b9d777afb25b848f701ecc610682e949..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/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_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/appearance_train_v1/input_case/session_20260921_230446_039759', model_path='/mnt/data2/magna/belt_perception_shared/phystwin_model_corpus_expansion/lab/session_20260921_230446_039759/window_anchor0282-0676/accepted_input_preparation_c6a_v1/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_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793211662.labcomputer.1099703.0 b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793211662.labcomputer.1099703.0
deleted file mode 100644
index 053ed059d7bb8e458570f3a3e75de2b94c781911..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/events.out.tfevents.1793211662.labcomputer.1099703.0
+++ /dev/null
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-size 1809707
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply
deleted file mode 100644
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--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_10000/point_cloud.ply
+++ /dev/null
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diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_7000/point_cloud.ply b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/model/point_cloud/iteration_7000/point_cloud.ply
deleted file mode 100644
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diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/agent_findings.json
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+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "status": "trained and agent-reviewed; owner appearance acceptance pending",
-  "reviewed_at_utc": "2026-10-28T18:35:44.822631+00:00",
-  "case": "session_20260921_230446_039759/window_anchor0282-0676",
-  "training_iterations": 10000,
-  "gaussian_optimizer_update_calls": 9999,
-  "initial_gaussians": 68967,
-  "saved_gaussians": 71482,
-  "export_gaussians_strict_opacity_gt_0_1": 61802,
-  "final_isotropic_log_scale_columns": 1,
-  "final_active_sh_degree": 3,
-  "finite_saved_view_arrays": [
-    "iteration_0/view_0.npz",
-    "iteration_0/view_1.npz",
-    "iteration_0/view_2.npz",
-    "iteration_0/view_3.npz",
-    "iteration_7000/view_0.npz",
-    "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"
-  ],
-  "finite_ply_snapshots": [
-    "model/input.ply",
-    "model/point_cloud/iteration_7000/point_cloud.ply",
-    "model/point_cloud/iteration_10000/point_cloud.ply"
-  ],
-  "scalar_steps_verified": [
-    1,
-    10000
-  ],
-  "scalar_steps_contiguous": true,
-  "finite_scalar_tags": [
-    "train_loss_patches/l1_loss",
-    "train_loss_patches/total_loss",
-    "iter_time"
-  ],
-  "mean_training_view_source_total_initial": 0.005744945108291041,
-  "mean_training_view_source_total_final": 0.00020193475217678258,
-  "source_metric_scope": "same four initial training views, source full-image averaging; final review uses strict opacity >0.1 export filter; not held-out evidence",
-  "source_recipe_checks": {
-    "value_flags": {
-      "--iterations": "10000",
-      "--lambda_depth": "0.001",
-      "--lambda_normal": "0.0",
-      "--lambda_anisotropic": "0.0",
-      "--lambda_seg": "1.0",
-      "--gs_init_opt": "hybrid"
-    },
-    "enabled_flags": [
-      "--use_masks",
-      "--isotropic",
-      "--disable_viewer"
-    ],
-    "runtime_overrides": [
-      "native_loader_size",
-      "q5_sh2_depth_loss"
-    ],
-    "accepted_prior_manifest_matches_run_record": true,
-    "source_loop_rule": "iterations 1 through 10000; optimizer steps only when iteration < opt.iterations, therefore 9999 Gaussian updates",
-    "opacity_reset_interval": 3000
-  },
-  "training_stage_elapsed_s_including_lane_wait": 448.8773483620025,
-  "review_stage_elapsed_s_including_lane_wait": 386.07725234600366,
-  "numeric_review_process_exit_code": 0,
-  "visually_inspected": [
-    "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"
-  ],
-  "orbit_frames_inspected": [
-    0,
-    25,
-    50,
-    75,
-    100,
-    125,
-    150,
-    175
-  ],
-  "orbit_frame_count": 200,
-  "observations": [
-    "The visible orange belt contour and purple/grey tape align with the four initial observations. The overall oval remains coherent.",
-    "The hand-hidden grasp arc remains open. Local diffuse protrusions or blobs beside the gap are strongest in views 0 and 1 (12540311 and 12933256). View 2 (17736741) has smaller rough endpoints; view 3 (23007103) retains a narrow break.",
-    "The same localized opening persists in all eight sampled orbit views, with view-dependent diffuse fringe around its ends. No overall collapse or broad detached cloud was observed.",
-    "Loss curves decrease and settle after sharp transients near steps 3000, 6000 and 9000, consistent with the unchanged source opacity-reset interval of 3000."
-  ],
-  "limitations": [
-    "Only the four initial images were trained; this does not establish held-out or dynamic rendering quality.",
-    "The hidden grasp region remains weakly constrained. Low same-view losses do not establish complete occluded geometry, correct table/hand contact or physical accuracy.",
-    "Black backgrounds are object-only diagnostic renders. The raw RGB residual compares against the full scene and is not the masked training objective. Stored and rendered depth panels are diagnostic evidence, not independent ground-truth geometry validation.",
-    "Eight sampled orbit frames were inspected; every orbit frame was not individually inspected.",
-    "Owner appearance acceptance is pending and remains separate from prior acceptance and physical fitting."
-  ]
-}
diff --git a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json b/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
deleted file mode 100644
index 4d3f6a399f998b5380cec0ddb62a5e83ea4a3c7f..0000000000000000000000000000000000000000
--- a/sessions/session_20260921_230446_039759/preprocessing/c6a-input-preparation-v1/native/appearance_train_v1/review/curves.json
+++ /dev/null
@@ -1,120008 +0,0 @@
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