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8 hours
feat(cnn_v3): add weight assets to assets.txt, update HOW_TO_CNN export docs
skal
8 hours
docs(cnn_v3): add uv inline deps to export_cnn_v3_weights.py
skal
8 hours
fix size
skal
8 hours
feat(cnn_v3): patch alignment search, resume, Ctrl-C save
skal
8 hours
normalize sample dimension
skal
9 hours
docs(cnn_v3): add uv inline deps to train_cnn_v3.py + HOW_TO_CNN note
skal
9 hours
perf(cnn_v3): cache dataset images at init to avoid per-patch disk I/O
skal
9 hours
docs(cnn_v3): add Windows 10 + CUDA training section to HOW_TO_CNN §2
skal
10 hours
fix(cnn_v3): correct weight budget in docstring (3.9→5.4 KB f16)
skal
10 hours
fix(cnn_v3): resize target to albedo dims when sizes differ
skal
10 hours
docs(cnn_v3): add full Old House example to HOW_TO_CNN §1b
skal
10 hours
fix(cnn_v3): native OPEN_EXR_MULTILAYER + quiet render + flexible channel names
skal
11 hours
docs(cnn_v3): blender4 alias + Blender 4.5 LTS requirement for training data
skal
11 hours
fix(blender_export): version detection + Blender 5.x warning + cleanup
skal
11 hours
fix(cnn_v3): blender_export Blender 5 compositor activation + document Render...
skal
12 hours
feat(cnn_v3): blender_export print pack_blender_sample.py batch command after...
skal
12 hours
fix(cnn_v3): blender_export fallback socket name aliases for Shadow etc.
skal
12 hours
fix(cnn_v3): blender_export discard dir next to --output, not in /tmp
skal
12 hours
fix(cnn_v3): blender_export.py Blender 5 File Output node slots + file_name
skal
12 hours
fix(blender_export): only write plane_distance for PLANE objects
skal
12 hours
docs(cnn_v3): clarify --output is a base dir, not a frame_### pattern
skal
12 hours
docs(cnn_v3): update HOW_TO_CNN for Blender 5.x compatibility
skal
12 hours
fix(cnn_v3): blender_export.py Blender 5.x API compatibility
skal
12 hours
fix(cnn_v3): blender_export --view-layer flag + fallback to layer[0]
skal
13 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
13 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
13 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
13 hours
feat(cnn_v3): gen_sample tool + 7 simple training samples
skal
30 hours
refactor(cnn_v3): code review — comments, simplifications, test fix
skal
34 hours
feat(cnn_v3): HTML WebGPU tool (index.html + shaders.js + tester.js)
skal
34 hours
feat(cnn_v3): export script + HOW_TO_CNN.md playbook
skal
34 hours
feat(cnn_v3): Phase 6 — training script (train_cnn_v3.py + cnn_v3_utils.py)
skal
35 hours
docs(cnn_v3): update CNN_V3.md + HOWTO.md to reflect Phases 1-5 complete
skal
35 hours
feat(cnn_v3): Phase 5 complete — parity validation passing (36/36 tests)
skal
36 hours
docs: session handoff — CNN v3 Phase 4 complete
skal
36 hours
feat(cnn_v3): Phase 4 complete — CNNv3Effect C++ + FiLM uniform upload
skal
36 hours
feat(cnn_v3): Phase 3 complete — WGSL U-Net inference shaders
skal
36 hours
make the heptagon effect more interesting
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
3 days
docs: archive stale/completed docs, compact active refs (-1300 lines)
skal
3 days
chore: remove broken seeking test, demote CNN v2 quant to future CNN v3
skal
3 days
add a commit rule
skal
3 days
docs(init): add glfw as macOS brew dependency
skal
3 days
fix(assets): skip missing binary assets with warning instead of failing
skal
10 days
fix(win): accept SuccessSuboptimal in surface texture status check
skal
10 days
fix(build): move generated assets to per-build binary dir
skal
10 days
fix(assets): regenerate assets when DEMO_STRIP_ALL toggles
skal
10 days
docs(todo): add Wine black screen investigation task
skal
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