| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 13 hours | feat(cnn_v3): wire trained weights into CNNv3Effect + add timeline test sequence | skal | |
| - CNNv3Effect constructor loads ASSET_WEIGHTS_CNN_V3 via GetAsset on startup - seq_compiler.py: CLASS_TO_HEADER supports full #include paths for cnn_v3/ classes - timeline.seq: add cnn_v3_test sequence at 48s (GBufferEffect → CNNv3Effect) - test_cnn_v3_parity: zero_weights test now explicitly uploads zeros to override asset handoff(Gemini): CNNv3Effect ready; export weights to workspaces/main/weights/ and seek to 48s to test | |||
| 2026-02-14 | Fix --mix option: blend prev layer with static p4-p7, not p0-p3 | skal | |
| Updated gen_identity_weights.py --mix mode to use static features p4-p7 (uv_x, uv_y, sin20_y, bias) at channels 8-11 instead of p0-p3 (RGB+D) at channels 4-7. Before: 0.5*prev[i] + 0.5*static_p{i} (channels 4-7) After: 0.5*prev[i] + 0.5*static_p{4+i} (channels 8-11) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> | |||
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index : demo.git | |
| Vide-coded 64k demo system |
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