165de26db5
image_to_mesh() now runs the real cascade, not the single-stage shortcut: structure 3048 voxels @32^3 (64^3 occupancy, MAX-POOLED DOWN) LR SLAT 3048 x 32 shape_512 extractor refine 13147 coords @64^3 four decoder stages -> coords -> quantise HR SLAT 13147 x 32 shape_1024 extractor mesh 3988052 verts, 7996876 faces @1024^3 TOTAL 258.4s, peak 27.9GB with every model resident silhouette IoU 0.969 Three things the cascade needed: 1. occupied_coords_at() - ss_dec always decodes 64^3 but the cascade STARTS at 32^3. Upstream max-pools the boolean grid down by the ratio (a voxel survives if ANY of its eight children was occupied). I had been feeding the raw 64^3 set to the HR flow. 2. decoder.upsample() - pushes the LR latent four stages in and returns COORDS, not features. The predicted subdivisions grow the occupied set; those coords quantise onto the HR flow's grid. Stops BEFORE stage `upsample_times`, as upstream does; one stage further doubles the resolution and misplaces every voxel. 3. grid_resolution override on ProjConditioner - upstream backs the HR grid off in 128-unit steps while the token count exceeds max_num_tokens, so a dense object degrades instead of exploding. refine_coords() implements that loop. I WAS WRONG ABOUT THE HALO. The previous commit blamed the single-stage shortcut for a 0.639 silhouette IoU and predicted the cascade would fix it. The cascade measured 0.640 - no change. The real fault was in my VERIFICATION, not the pipeline: o_voxel returns vertices in the voxel-grid frame, while ProjGrid rotates its lattice by _BLENDER_ROT before projecting. Rotating the mesh the same way scores 0.969 on the same geometry the earlier commit had already produced. Added mesh.to_camera_frame() so the trap is named where it bites; the earlier mesh was correct all along. The cascade is still the right thing - it is the shipped path, and staged loading halves peak memory (12.8GB vs 22.6GB) when models are released between stages. Also adds models.load_all(), so a server builds all five models plus both conditioners ONCE. Warmup is ~71s against ~17s of compute, so an operator must never fork per job. Holding everything resident costs 27.9GB peak - nothing on a 256GB box. scripts/image_to_mesh.py exits non-zero if IoU < 0.85: a run that completes with a bad reconstruction has failed even though nothing raised. 27/27 green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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228 B
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16 lines
228 B
Plaintext
.venv
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upstream/
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ckpt/
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weights/
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__pycache__/
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*.pyc
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pixal3d_geometry.glb
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mesh_silhouette.png
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silhouette_check.png
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pixal3d_geometry.glb
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mesh_silhouette.png
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silhouette_check.png
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output.glb
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pixal3d_cascade.glb
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cascade_silhouette.png
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