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cnn_v3
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7 hours
fix(cnn_v3): blender_export Blender 5 compositor activation + document Render...
skal
7 hours
feat(cnn_v3): blender_export print pack_blender_sample.py batch command after...
skal
7 hours
fix(cnn_v3): blender_export fallback socket name aliases for Shadow etc.
skal
7 hours
fix(cnn_v3): blender_export discard dir next to --output, not in /tmp
skal
8 hours
fix(cnn_v3): blender_export.py Blender 5 File Output node slots + file_name
skal
8 hours
docs(cnn_v3): clarify --output is a base dir, not a frame_### pattern
skal
8 hours
docs(cnn_v3): update HOW_TO_CNN for Blender 5.x compatibility
skal
8 hours
fix(cnn_v3): blender_export.py Blender 5.x API compatibility
skal
8 hours
fix(cnn_v3): blender_export --view-layer flag + fallback to layer[0]
skal
8 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
8 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
9 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
9 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
26 hours
refactor(cnn_v3): code review — comments, simplifications, test fix
skal
29 hours
feat(cnn_v3): HTML WebGPU tool (index.html + shaders.js + tester.js)
skal
30 hours
feat(cnn_v3): export script + HOW_TO_CNN.md playbook
skal
30 hours
feat(cnn_v3): Phase 6 — training script (train_cnn_v3.py + cnn_v3_utils.py)
skal
30 hours
docs(cnn_v3): update CNN_V3.md + HOWTO.md to reflect Phases 1-5 complete
skal
30 hours
feat(cnn_v3): Phase 5 complete — parity validation passing (36/36 tests)
skal
31 hours
feat(cnn_v3): Phase 4 complete — CNNv3Effect C++ + FiLM uniform upload
skal
32 hours
feat(cnn_v3): Phase 3 complete — WGSL U-Net inference shaders
skal
2 days
feat(cnn_v3): Phase 1 complete - GBufferEffect integrated + HOWTO playbook
skal
2 days
feat(cnn_v3): G-buffer phase 1 + training infrastructure
skal
3 days
docs(cnn_v3): full design doc — U-Net + FiLM architecture plan
skal
2026-03-05
add training photos
skal
2026-02-27
remove old files, add new training set
skal
2026-02-15
feat(cnn): add CNN v3 directory structure with training data
skal