demo.git - Vide-coded 64k demo system

Age	Commit message (Collapse)	Author
15 hours	docs(cnn_v3): clarify --output is a base dir, not a frame_### pattern	skal

15 hours	docs(cnn_v3): update HOW_TO_CNN for Blender 5.x compatibility	skal

16 hours	fix(cnn_v3): blender_export --view-layer flag + fallback to layer[0]	skal
	Fixes KeyError when blend file uses a non-default view layer name. Adds --view-layer NAME arg; pass '?' to list available layers. Defaults to index 0 with a clear error if the name is not found. handoff(Gemini): blender_export.py view layer selection now robust
16 hours	feat(cnn_v3): gen_sample tool + 7 simple training samples	skal
	- pack_photo_sample.py: --target now required (no albedo fallback) - gen_sample.py: bash wrapper with positional args (input target output_dir) - input/photo7.jpg: copy of photo2 (second style target) - target_1: photo2_1_out→photo2_out, photo2_2_out→photo7_out - dataset/simple/sample_001..007: 7 packed photo/target pairs handoff(Gemini): training data ready; next step is train_cnn_v3.py run
37 hours	feat(cnn_v3): HTML WebGPU tool (index.html + shaders.js + tester.js)	skal
	3-file tool, 939 lines total. Implements full U-Net+FiLM inference in the browser: Pack→Enc0→Enc1→Bottleneck→Dec1→Dec0 compute passes, layer visualisation (Feat/Enc0/Enc1/BN/Dec1/Output), FiLM MLP sliders, drag-drop weights + image/video, Save PNG, diff/blend view modes. HOW_TO_CNN.md §7 updated to reflect tool is implemented. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
37 hours	feat(cnn_v3): export script + HOW_TO_CNN.md playbook	skal
	- export_cnn_v3_weights.py: .pth → cnn_v3_weights.bin (f16 packed u32) + cnn_v3_film_mlp.bin (f32) - HOW_TO_CNN.md: full pipeline playbook (data collection, training, export, C++ wiring, parity, HTML tool) - TODO.md: mark export script done Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>