Add the round 14 octacam detector's README, recipe, report and checksums

261008_mvt_dinov3b_384_octacam_fly38/README.md

@@ -0,0 +1,40 @@
+# `mvt_dinov3b_384_octacam_fly38` -- the octacam detector, round 14
+
+A deeperfly 2 detector (`deeperfly-detector-1`, family `mvt`): a multiview transformer on a DINOv3 ViT-B/16 that predicts all 38 points of the `fly38` skeleton in every view of the octacam rig, computing the views of a frame together. It supersedes `260927_mvt_dinov3b_384_octacam_fly38` (round 11): the same architecture and input, trained on more labels with round 13's recipe.
+
+Exported 2026-10-09 from `octacam/runs/mvt_dinov3/round14/r14_ship_g10_s0`, trained 2026-10-08: warm-started from a pseudo-labeled ViT-B, lr 1e-4, 5,000 steps, and a distillation stream on unlabeled frames with round 13's detector as the teacher, on the labels of 2026-10-08.
+
+| | |
+|---|---|
+| file | `mvt_dinov3b_384_octacam_fly38.pth`, 383,792,459 bytes |
+| sha256 | `ccd9ee5de3424b5cd7c5370b910af4653ea02b13418d84444a330640b2899253` |
+| skeleton | `fly38` -- `fly38.toml` beside this file |
+| backbone | `vit_base_patch16_dinov3.lvd1689m` (timm) |
+| input | 384x768 per view: a 2:1 window around the animal |
+| trained on | 62 octacam recordings, 4,703 items (`report.json`); no holdout |
+| recipe | `config.toml` beside this file |
+
+## What it scores
+
+A shipping model trains on every label, so it has no held-out number of its own. Its twin, the same recipe with four recordings held out (58 recordings, 4,263 items), scores on the 9,269 held-out labeled cells: 3.25 px median, 4.49 px mean, 8.29 px p90, and 93.7% within 10 px, in video pixels on windows centered on the labels.
+
+On the deeperfly repository's `examples/octacam/` clip (200 frames of `scape_260417_IN07B001_Fly4_006`), the example run config's bundle adjustment takes an orbit guess from 172 px to 1.95 px median reprojection, and the pictorial 3D then reprojects at 1.46 px median (round 11: 1.94 px and 1.49 px). That is agreement across the eight views, not an error against labels.
+
+## Using it
+
+Download it into `models/` at the root of a deeperfly clone:
+
+```bash
+uv run hf download tkclam/deeperfly-models --local-dir models \
+  --include "261008_mvt_dinov3b_384_octacam_fly38/*"
+```
+
+and name it in the run config, with the path relative to the config file:
+
+```toml
+[pose2d]
+weights = ["../models/261008_mvt_dinov3b_384_octacam_fly38/mvt_dinov3b_384_octacam_fly38.pth"]
+candidates = 5      # the peaks [pose3d] method = "pictorial" chooses among
+```
+
+Verify a download with `sha256sum -c SHA256SUMS` in this folder.

261008_mvt_dinov3b_384_octacam_fly38/SHA256SUMS

@@ -0,0 +1,4 @@
+6de807bde54c99ce9e323bfeb0964608698327550523b5777d32b328cdab3beb  ./config.toml
+56f9a33ea5c286bda06e599602e7b7adaefb7ba29a74a2516548b7cbb7776e52  ./fly38.toml
+ccd9ee5de3424b5cd7c5370b910af4653ea02b13418d84444a330640b2899253  ./mvt_dinov3b_384_octacam_fly38.pth
+212c5711320da376204ac08677e6b4b0b1e957cd86d82decb1af1689e6845ce8  ./report.json

261008_mvt_dinov3b_384_octacam_fly38/config.toml

@@ -0,0 +1,94 @@
+# Lyra copy (/scratch/tlam/r14).
+# r14_ship_s0: round 14's corpus ship -- round 13's recipe on the labels of 2026-10-08
+# (596 frames in 68 projects), teacher round 13's ship. This copy: geom_weight 1.0 (default); the twins'
+# verdict picks one of the two ships (plans/round14-octacam-2026-10-08.md).
+
+format_version = 3
+
+[data]
+kind = "project"
+projects = ["../../../recordings/*"]
+cache = "/scratch/tlam/r14/cache_r14_ship_g10_s0"
+
+[data.crops]
+tightness = [0.75, 2.2]  # per-sample 2:1 crop around the animal, log-uniform;
+jitter = 0.1            # < 1 leaves points outside on purpose
+eval_tightness = 1.25
+full_p = 0.1            # letterboxed whole frame (an inference without any crop)
+
+[data.fill]
+weight = 0.5
+max_residual_px = 10.0
+
+[model]
+input_hw = [384, 768]
+family = "mvt"
+backbone = "vit_base_patch16_dinov3.lvd1689m"
+pretrained = true
+attn_scopes = "llllllllglgl"
+margin = 64
+reach = 2
+drop_path = 0.0
+token_mask = 0.0
+token_pad = 2                 # 32 px of the 64 px margin in the token grid (1.26x tokens)
+init_from = "/scratch/tlam/r14/octacam/runs/mvt_dinov3/tier1/vitb_stage2_pseudo/model.pth"
+
+[augment]
+degrees = 12.0
+scale = [1.0, 1.0]           # the crop sampler supplies scale and shift
+aspect = [0.85, 1.18]
+translate = [0.0, 0.0]
+flip_p = 0.5
+brightness = 0.3
+contrast = 0.3
+gamma = [0.7, 1.4]
+blur_sigma = [0.5, 1.5]
+noise_std = 0.03
+photometric_p = 0.5
+
+[train]
+grad_checkpoint = true
+steps = 5000
+images_per_batch = 24
+grad_clip = 1.0
+amp = true
+ema_decay = 0.999
+view_drop_p = 0.3
+view_min = 1
+log_every = 100
+seed = 0
+out = "../../../runs/mvt_dinov3/round14/r14_ship_g10_s0"
+
+[train.optimizer]
+lr = 1e-4
+weight_decay = 0.05
+warmup_steps = 500
+
+[train.loss]
+sigma = 2.0
+field_weight = 1.0
+coord_weight = 0.0
+tri_weight = 0.02
+tri_huber = 0.05
+tri_max_world = 0.5
+
+[train.eval]
+every = 0
+
+[compute]
+workers = 8
+
+[unlabeled]
+# Round 13's ship, trained on every label (the current teacher, as round 13 ruled).
+teacher = "/scratch/tlam/r14/octacam/runs/mvt_dinov3/round13/r13_ship_s0/model.pth"
+n_per_project = 200
+transductive = false
+agree_px = 6.0
+min_views = 3
+conf_min = 0.3
+weight = 0.5
+mask_ratios = []
+masked_weight = 1.0
+unmasked_weight = 0.5
+crop_tightness = [0.75, 1.6]
+cache = "/scratch/tlam/r14/cache_r14_ship_g10_s0/unlabeled"

261008_mvt_dinov3b_384_octacam_fly38/fly38.toml

@@ -0,0 +1,129 @@
+# fly38 -- the 38 tracked points of a tethered Drosophila: six 5-point legs, two
+# antennae, the neck, and a 5-point dorsal-midline abdomen chain (the tergite stripes).
+#
+# A skeleton is points, edges and point_symmetries -- the same decomposition as SLEAP
+# and DeepLabCut -- plus an optional palette (point_colors / edge_colors). The palette
+# is decoration, not identity: it draws the points but is kept out of the digest, so
+# recoloring never reports a different skeleton.
+
+[skeleton]
+name = "fly38"
+
+# The points IN ORDER: channel i of the detector is points[i]. This is the contract
+# with the weights.
+points = [
+    "lf_thorax_coxa", "lf_coxa_trochanter", "lf_femur_tibia", "lf_tibia_tarsus", "lf_pretarsus",
+    "lm_thorax_coxa", "lm_coxa_trochanter", "lm_femur_tibia", "lm_tibia_tarsus", "lm_pretarsus",
+    "lh_thorax_coxa", "lh_coxa_trochanter", "lh_femur_tibia", "lh_tibia_tarsus", "lh_pretarsus",
+    "l_antenna",
+    "rf_thorax_coxa", "rf_coxa_trochanter", "rf_femur_tibia", "rf_tibia_tarsus", "rf_pretarsus",
+    "rm_thorax_coxa", "rm_coxa_trochanter", "rm_femur_tibia", "rm_tibia_tarsus", "rm_pretarsus",
+    "rh_thorax_coxa", "rh_coxa_trochanter", "rh_femur_tibia", "rh_tibia_tarsus", "rh_pretarsus",
+    "r_antenna",
+    "neck",
+    "abdomen0", "abdomen1", "abdomen2", "abdomen3", "abdomen4",
+]
+
+# The edges, as pairs of points. The antennae and neck appear in no edge -- tracked
+# points with no bone.
+edges = [
+    ["lf_thorax_coxa", "lf_coxa_trochanter"], ["lf_coxa_trochanter", "lf_femur_tibia"],
+    ["lf_femur_tibia", "lf_tibia_tarsus"], ["lf_tibia_tarsus", "lf_pretarsus"],
+    ["lm_thorax_coxa", "lm_coxa_trochanter"], ["lm_coxa_trochanter", "lm_femur_tibia"],
+    ["lm_femur_tibia", "lm_tibia_tarsus"], ["lm_tibia_tarsus", "lm_pretarsus"],
+    ["lh_thorax_coxa", "lh_coxa_trochanter"], ["lh_coxa_trochanter", "lh_femur_tibia"],
+    ["lh_femur_tibia", "lh_tibia_tarsus"], ["lh_tibia_tarsus", "lh_pretarsus"],
+    ["rf_thorax_coxa", "rf_coxa_trochanter"], ["rf_coxa_trochanter", "rf_femur_tibia"],
+    ["rf_femur_tibia", "rf_tibia_tarsus"], ["rf_tibia_tarsus", "rf_pretarsus"],
+    ["rm_thorax_coxa", "rm_coxa_trochanter"], ["rm_coxa_trochanter", "rm_femur_tibia"],
+    ["rm_femur_tibia", "rm_tibia_tarsus"], ["rm_tibia_tarsus", "rm_pretarsus"],
+    ["rh_thorax_coxa", "rh_coxa_trochanter"], ["rh_coxa_trochanter", "rh_femur_tibia"],
+    ["rh_femur_tibia", "rh_tibia_tarsus"], ["rh_tibia_tarsus", "rh_pretarsus"],
+    ["abdomen0", "abdomen1"], ["abdomen1", "abdomen2"], ["abdomen2", "abdomen3"], ["abdomen3", "abdomen4"],
+]
+
+# What each point becomes under a left/right flip. Write each pair once; anything absent
+# is on the midline and maps to itself (hence no neck, no abdomen). The loader checks
+# the implied mirror against `edges`: applying it must give the edge set back, so a
+# wrong side or two joints of one leg exchanged is named rather than trained on silently.
+point_symmetries = [
+    ["lf_thorax_coxa", "rf_thorax_coxa"],
+    ["lf_coxa_trochanter", "rf_coxa_trochanter"],
+    ["lf_femur_tibia", "rf_femur_tibia"],
+    ["lf_tibia_tarsus", "rf_tibia_tarsus"],
+    ["lf_pretarsus", "rf_pretarsus"],
+    ["lm_thorax_coxa", "rm_thorax_coxa"],
+    ["lm_coxa_trochanter", "rm_coxa_trochanter"],
+    ["lm_femur_tibia", "rm_femur_tibia"],
+    ["lm_tibia_tarsus", "rm_tibia_tarsus"],
+    ["lm_pretarsus", "rm_pretarsus"],
+    ["lh_thorax_coxa", "rh_thorax_coxa"],
+    ["lh_coxa_trochanter", "rh_coxa_trochanter"],
+    ["lh_femur_tibia", "rh_femur_tibia"],
+    ["lh_tibia_tarsus", "rh_tibia_tarsus"],
+    ["lh_pretarsus", "rh_pretarsus"],
+    ["l_antenna", "r_antenna"],
+]
+
+# The palette. One #rrggbb per point; a key is a point name or a `*` pattern (an exact
+# name beats a pattern). Optional and may be partial -- an unnamed point takes tab10 by
+# index. The scheme is anatomical, so it reads at a glance: left = blue, right = red,
+# front -> hind lightening within a side; the midline neck and abdomen green. Edges take
+# the average of their endpoints, so every leg bone comes out its own limb's color.
+[skeleton.point_colors]
+"lf_*" = "#0f7399"
+"lm_*" = "#1a8daf"
+"lh_*" = "#75becb"
+l_antenna = "#0a4f6b"
+"rf_*" = "#ba1e31"
+"rm_*" = "#c9564f"
+"rh_*" = "#d58579"
+r_antenna = "#8c1525"
+neck = "#15a315"
+"abdomen*" = "#61e47b"
+
+# A canonical neutral posture (NeuroMechFly's rest pose), one [x, y, z] per point
+# in millimeters, with the body center of mass at the origin (x anterior, y the
+# left-right axis, z dorsal). It is NOT part of the skeleton's identity (out of the
+# digest); it draws the skeleton in 3D and SEEDS labeling: projected through a
+# recording's calibration it drops a rough draggable instance into each view when
+# nothing else (a prior labeled frame, another view) is available to seed from.
+[skeleton.default_pose]
+lf_thorax_coxa     = [ 0.42966,  0.17200,  0.25226]
+lf_coxa_trochanter = [ 0.31028,  0.06883, -0.07688]
+lf_femur_tibia     = [ 0.85227,  0.42043,  0.20537]
+lf_tibia_tarsus    = [ 1.05606,  0.65936, -0.20658]
+lf_pretarsus       = [ 1.45133,  1.02885, -0.58856]
+lm_thorax_coxa     = [ 0.03366,  0.12500,  0.00026]
+lm_coxa_trochanter = [ 0.00831,  0.09367, -0.17620]
+lm_femur_tibia     = [ 0.11746,  0.70120,  0.30719]
+lm_tibia_tarsus    = [ 0.23055,  0.96680, -0.29411]
+lm_pretarsus       = [ 0.38484,  1.49119, -0.73358]
+lh_thorax_coxa     = [-0.19334,  0.08700, -0.01474]
+lh_coxa_trochanter = [-0.27402,  0.09655, -0.19640]
+lh_femur_tibia     = [-0.64760,  0.63110,  0.32665]
+lh_tibia_tarsus    = [-0.96496,  0.77982, -0.26073]
+lh_pretarsus       = [-1.40791,  1.03885, -0.86325]
+l_antenna          = [ 1.04836,  0.08600,  0.56596]
+rf_thorax_coxa     = [ 0.42966, -0.17200,  0.25226]
+rf_coxa_trochanter = [ 0.31028, -0.06883, -0.07688]
+rf_femur_tibia     = [ 0.85227, -0.42043,  0.20537]
+rf_tibia_tarsus    = [ 1.05606, -0.65936, -0.20658]
+rf_pretarsus       = [ 1.45133, -1.02885, -0.58856]
+rm_thorax_coxa     = [ 0.03366, -0.12500,  0.00026]
+rm_coxa_trochanter = [ 0.00831, -0.09367, -0.17620]
+rm_femur_tibia     = [ 0.11746, -0.70120,  0.30719]
+rm_tibia_tarsus    = [ 0.23055, -0.96680, -0.29411]
+rm_pretarsus       = [ 0.38484, -1.49119, -0.73358]
+rh_thorax_coxa     = [-0.19334, -0.08700, -0.01474]
+rh_coxa_trochanter = [-0.27402, -0.09655, -0.19640]
+rh_femur_tibia     = [-0.64760, -0.63110,  0.32665]
+rh_tibia_tarsus    = [-0.96496, -0.77982, -0.26073]
+rh_pretarsus       = [-1.40791, -1.03885, -0.86325]
+r_antenna          = [ 1.04836, -0.08600,  0.56596]
+neck               = [ 0.61936,  0.00000,  0.48296]
+abdomen0           = [-0.71698,  0.00000,  0.71444]
+abdomen1           = [-0.91268,  0.00000,  0.66169]
+abdomen2           = [-1.10060,  0.00000,  0.61850]
+abdomen3           = [-1.27163,  0.00000,  0.56551]
+abdomen4           = [-1.48737,  0.00000,  0.46364]

261008_mvt_dinov3b_384_octacam_fly38/report.json

@@ -0,0 +1,172 @@
+{
+ "projects": {
+  "9A9_251119_Fly3_003": "/scratch/tlam/r14/octacam/recordings/9A9_251119_Fly3_003/deeperfly",
+  "AN07B017_260414_Fly4_003": "/scratch/tlam/r14/octacam/recordings/AN07B017_260414_Fly4_003/deeperfly",
+  "AN07B017_260414_Fly4_004": "/scratch/tlam/r14/octacam/recordings/AN07B017_260414_Fly4_004/deeperfly",
+  "AN07B017_260414_Fly4_005": "/scratch/tlam/r14/octacam/recordings/AN07B017_260414_Fly4_005/deeperfly",
+  "AN19B004_260316_Fly2_003": "/scratch/tlam/r14/octacam/recordings/AN19B004_260316_Fly2_003/deeperfly",
+  "ANXXX049_251125_Fly1_003": "/scratch/tlam/r14/octacam/recordings/ANXXX049_251125_Fly1_003/deeperfly",
+  "FW_260325_dna01a5_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260325_dna01a5_Fly1_001_label/deeperfly",
+  "FW_260327_g25_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260327_g25_Fly1_001_label/deeperfly",
+  "FW_260327_g25_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260327_g25_Fly2_001_label/deeperfly",
+  "FW_260327_g25_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260327_g25_Fly3_001_label/deeperfly",
+  "FW_260327_g25_Fly5_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260327_g25_Fly5_001_label/deeperfly",
+  "FW_260416_CS_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260416_CS_Fly1_001_label/deeperfly",
+  "FW_260418_cs_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_cs_Fly1_001_label/deeperfly",
+  "FW_260418_cs_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_cs_Fly2_001_label/deeperfly",
+  "FW_260418_g25i_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_g25i_Fly1_001_label/deeperfly",
+  "FW_260418_g25i_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_g25i_Fly2_001_label/deeperfly",
+  "FW_260418_g25i_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_g25i_Fly3_001_label/deeperfly",
+  "FW_260418_g25i_Fly4_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260418_g25i_Fly4_001_label/deeperfly",
+  "FW_260420_g25_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260420_g25_Fly1_001_label/deeperfly",
+  "FW_260420_g25_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260420_g25_Fly2_001_label/deeperfly",
+  "FW_260420_g25_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260420_g25_Fly3_001_label/deeperfly",
+  "FW_260420_g25_Fly4_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260420_g25_Fly4_001_label/deeperfly",
+  "FW_260423_cs_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260423_cs_Fly1_001_label/deeperfly",
+  "FW_260423_cs_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260423_cs_Fly2_001_label/deeperfly",
+  "FW_260423_cs_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260423_cs_Fly3_001_label/deeperfly",
+  "FW_260423_cs_Fly4_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260423_cs_Fly4_001_label/deeperfly",
+  "FW_260423_g25_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260423_g25_Fly1_001_label/deeperfly",
+  "FW_260424_g25_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260424_g25_Fly1_001_label/deeperfly",
+  "FW_260507_dfd_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260507_dfd_Fly1_001_label/deeperfly",
+  "FW_260507_g25_Fly1_002": "/scratch/tlam/r14/octacam/recordings/FW_260507_g25_Fly1_002/deeperfly",
+  "FW_260507_g25_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260507_g25_Fly2_001_label/deeperfly",
+  "FW_260507_g25_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260507_g25_Fly3_001_label/deeperfly",
+  "FW_260508_g25_Fly1_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260508_g25_Fly1_001_label/deeperfly",
+  "FW_260508_g25_Fly2_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260508_g25_Fly2_001_label/deeperfly",
+  "FW_260508_g25_Fly3_001_label": "/scratch/tlam/r14/octacam/recordings/FW_260508_g25_Fly3_001_label/deeperfly",
+  "FW_260508_g25_Fly4_007_label": "/scratch/tlam/r14/octacam/recordings/FW_260508_g25_Fly4_007_label/deeperfly",
+  "IN07B001_260417_Fly3_003": "/scratch/tlam/r14/octacam/recordings/IN07B001_260417_Fly3_003/deeperfly",
+  "IN07B001_260417_Fly4_004": "/scratch/tlam/r14/octacam/recordings/IN07B001_260417_Fly4_004/deeperfly",
+  "IN07B001_260417_Fly4_005": "/scratch/tlam/r14/octacam/recordings/IN07B001_260417_Fly4_005/deeperfly",
+  "IN07B001_260417_Fly4_007": "/scratch/tlam/r14/octacam/recordings/IN07B001_260417_Fly4_007/deeperfly",
+  "IN07B007_260323_Fly3_002": "/scratch/tlam/r14/octacam/recordings/IN07B007_260323_Fly3_002/deeperfly",
+  "IN10B012_260319_Fly1_003": "/scratch/tlam/r14/octacam/recordings/IN10B012_260319_Fly1_003/deeperfly",
+  "IN10B012_260319_Fly1_006": "/scratch/tlam/r14/octacam/recordings/IN10B012_260319_Fly1_006/deeperfly",
+  "IN10B014_260317_Fly1_004": "/scratch/tlam/r14/octacam/recordings/IN10B014_260317_Fly1_004/deeperfly",
+  "IN10B014_260320_Fly2_003": "/scratch/tlam/r14/octacam/recordings/IN10B014_260320_Fly2_003/deeperfly",
+  "IN10B014_260320_Fly2_009": "/scratch/tlam/r14/octacam/recordings/IN10B014_260320_Fly2_009/deeperfly",
+  "IN14B010_251121_Fly3_003": "/scratch/tlam/r14/octacam/recordings/IN14B010_251121_Fly3_003/deeperfly",
+  "IN14B011_251126_Fly3_004": "/scratch/tlam/r14/octacam/recordings/IN14B011_251126_Fly3_004/deeperfly",
+  "IN19B038_260313_Fly3_003": "/scratch/tlam/r14/octacam/recordings/IN19B038_260313_Fly3_003/deeperfly",
+  "LTM-MN_251217_Fly1_003": "/scratch/tlam/r14/octacam/recordings/LTM-MN_251217_Fly1_003/deeperfly",
+  "LTM-MN_260119_Fly3_003": "/scratch/tlam/r14/octacam/recordings/LTM-MN_260119_Fly3_003/deeperfly",
+  "LTM-MN_260120_Fly3_003": "/scratch/tlam/r14/octacam/recordings/LTM-MN_260120_Fly3_003/deeperfly",
+  "LTM-MN_260120_Fly3_006": "/scratch/tlam/r14/octacam/recordings/LTM-MN_260120_Fly3_006/deeperfly",
+  "df3d_180705_na_Fly01_behav-lowball_0013": "/scratch/tlam/r14/octacam/recordings/df3d_180705_na_Fly01_behav-lowball_0013/deeperfly",
+  "df3d_180918_MDN_CsCh_Fly1_001_SG1": "/scratch/tlam/r14/octacam/recordings/df3d_180918_MDN_CsCh_Fly1_001_SG1/deeperfly",
+  "df3d_180920_aDN_CsCh_Fly2_003_SG1": "/scratch/tlam/r14/octacam/recordings/df3d_180920_aDN_CsCh_Fly2_003_SG1/deeperfly",
+  "df3d_180920_aDN_PR_Fly2_004_SG1": "/scratch/tlam/r14/octacam/recordings/df3d_180920_aDN_PR_Fly2_004_SG1/deeperfly",
+  "df3d_180921_aDN_CsCh_Fly7_001_SG1": "/scratch/tlam/r14/octacam/recordings/df3d_180921_aDN_CsCh_Fly7_001_SG1/deeperfly",
+  "df3d_191129_ABO_Fly2_001_coronal": "/scratch/tlam/r14/octacam/recordings/df3d_191129_ABO_Fly2_001_coronal/deeperfly",
+  "df3d_2018-05-10--17-53-30--testViewElavGC6s-R57C10-GC6s-tdTom_Fly4": "/scratch/tlam/r14/octacam/recordings/df3d_2018-05-10--17-53-30--testViewElavGC6s-R57C10-GC6s-tdTom_Fly4/deeperfly",
+  "df3d_2018-05-29--18-58-22--semih": "/scratch/tlam/r14/octacam/recordings/df3d_2018-05-29--18-58-22--semih/deeperfly",
+  "df3d_2018-06-12--16-05-24--semih": "/scratch/tlam/r14/octacam/recordings/df3d_2018-06-12--16-05-24--semih/deeperfly",
+  "df3d_210727_aJO-GAL4xUAS-CsChr_Fly001_003_Beh": "/scratch/tlam/r14/octacam/recordings/df3d_210727_aJO-GAL4xUAS-CsChr_Fly001_003_Beh/deeperfly",
+  "df3d_DM180904_MDN_CsCh_Fly1_SG_eye_1dot2_behData_001": "/scratch/tlam/r14/octacam/recordings/df3d_DM180904_MDN_CsCh_Fly1_SG_eye_1dot2_behData_001/deeperfly",
+  "df3d_Fly1_behavwd_behData_002": "/scratch/tlam/r14/octacam/recordings/df3d_Fly1_behavwd_behData_002/deeperfly",
+  "oldrig_demo": "/scratch/tlam/r14/octacam/recordings/oldrig_demo/deeperfly",
+  "scape_260417_IN07B001_Fly3_004": "/scratch/tlam/r14/octacam/recordings/scape_260417_IN07B001_Fly3_004/deeperfly",
+  "scape_260417_IN07B001_Fly4_006": "/scratch/tlam/r14/octacam/recordings/scape_260417_IN07B001_Fly4_006/deeperfly"
+ },
+ "train_projects": [
+  "9A9_251119_Fly3_003",
+  "AN07B017_260414_Fly4_003",
+  "AN07B017_260414_Fly4_004",
+  "AN07B017_260414_Fly4_005",
+  "AN19B004_260316_Fly2_003",
+  "ANXXX049_251125_Fly1_003",
+  "FW_260325_dna01a5_Fly1_001_label",
+  "FW_260327_g25_Fly1_001_label",
+  "FW_260327_g25_Fly2_001_label",
+  "FW_260327_g25_Fly3_001_label",
+  "FW_260327_g25_Fly5_001_label",
+  "FW_260416_CS_Fly1_001_label",
+  "FW_260418_cs_Fly1_001_label",
+  "FW_260418_cs_Fly2_001_label",
+  "FW_260418_g25i_Fly1_001_label",
+  "FW_260418_g25i_Fly2_001_label",
+  "FW_260418_g25i_Fly3_001_label",
+  "FW_260418_g25i_Fly4_001_label",
+  "FW_260420_g25_Fly1_001_label",
+  "FW_260420_g25_Fly2_001_label",
+  "FW_260420_g25_Fly3_001_label",
+  "FW_260420_g25_Fly4_001_label",
+  "FW_260423_cs_Fly1_001_label",
+  "FW_260423_cs_Fly2_001_label",
+  "FW_260423_cs_Fly3_001_label",
+  "FW_260423_cs_Fly4_001_label",
+  "FW_260423_g25_Fly1_001_label",
+  "FW_260424_g25_Fly1_001_label",
+  "FW_260507_dfd_Fly1_001_label",
+  "FW_260507_g25_Fly1_002",
+  "FW_260507_g25_Fly2_001_label",
+  "FW_260507_g25_Fly3_001_label",
+  "FW_260508_g25_Fly1_001_label",
+  "FW_260508_g25_Fly2_001_label",
+  "FW_260508_g25_Fly3_001_label",
+  "FW_260508_g25_Fly4_007_label",
+  "IN07B001_260417_Fly3_003",
+  "IN07B001_260417_Fly4_004",
+  "IN07B001_260417_Fly4_005",
+  "IN07B001_260417_Fly4_007",
+  "IN07B007_260323_Fly3_002",
+  "IN10B012_260319_Fly1_003",
+  "IN10B012_260319_Fly1_006",
+  "IN10B014_260317_Fly1_004",
+  "IN10B014_260320_Fly2_003",
+  "IN10B014_260320_Fly2_009",
+  "IN14B010_251121_Fly3_003",
+  "IN14B011_251126_Fly3_004",
+  "IN19B038_260313_Fly3_003",
+  "LTM-MN_251217_Fly1_003",
+  "LTM-MN_260119_Fly3_003",
+  "LTM-MN_260120_Fly3_003",
+  "LTM-MN_260120_Fly3_006",
+  "df3d_180705_na_Fly01_behav-lowball_0013",
+  "df3d_180920_aDN_PR_Fly2_004_SG1",
+  "df3d_180921_aDN_CsCh_Fly7_001_SG1",
+  "df3d_191129_ABO_Fly2_001_coronal",
+  "df3d_210727_aJO-GAL4xUAS-CsChr_Fly001_003_Beh",
+  "df3d_DM180904_MDN_CsCh_Fly1_SG_eye_1dot2_behData_001",
+  "oldrig_demo",
+  "scape_260417_IN07B001_Fly3_004",
+  "scape_260417_IN07B001_Fly4_006"
+ ],
+ "holdout": [],
+ "holdout_frames": {},
+ "n_train_items": 4703,
+ "augment": {
+  "degrees": 12.0,
+  "scale": [
+   1.0,
+   1.0
+  ],
+  "aspect": [
+   0.85,
+   1.18
+  ],
+  "translate": [
+   0.0,
+   0.0
+  ],
+  "flip_p": 0.5,
+  "brightness": 0.3,
+  "contrast": 0.3,
+  "gamma": [
+   0.7,
+   1.4
+  ],
+  "blur_sigma": [
+   0.5,
+   1.5
+  ],
+  "noise_std": 0.03,
+  "photometric_p": 0.5
+ },
+ "final_loss": 6.6500091552734375,
+ "holdout_report": null,
+ "select_best": null,
+ "best_step": null,
+ "best_score": null
+}