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Fixed bug in gen_identity_weights.py --p47 mode: static features p4-p7
(uv_x, uv_y, sin20_y, bias) are at input channels 8-11, not 4-7.
Weight tensor layout:
- Channels 0-3: Previous layer output (4D RGBA)
- Channels 4-11: Static features (8D: p0-p7)
Static features:
- p0-p3 (channels 4-7): RGB+D from mip level
- p4-p7 (channels 8-11): uv_x, uv_y, sin20_y, bias
Updated:
- training/gen_identity_weights.py: Change weights[i,i+4] to weights[i,i+8]
- workspaces/main/weights/mix_p47.bin: Regenerated (not in repo)
- doc/CNN_V2.md: Add Input Channel Mapping section with full layout table
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Updates --mix mode to use 50-50 weighting to avoid overflow:
- Before: p0+p4, p1+p5, p2+p6, p3+p7
- After: 0.5*p0+0.5*p4, 0.5*p1+0.5*p5, etc
Prevents saturation when blending input with static features.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Adds --p47 flag to output static features directly:
- p4 → ch0 (UV.x)
- p5 → ch1 (UV.y)
- p6 → ch2 (sin encoding)
- p7 → ch3 (bias)
Useful for visualizing static feature generation without input RGBA.
Updated doc/CNN_V2_DEBUG_TOOLS.md with --p47 usage.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Adds --mix flag to blend input channels with static features:
- p0+p4 → p0 (RGBA + UV.x)
- p1+p5 → p1 (RGBA + UV.y)
- p2+p6 → p2 (RGBA + sin encoding)
- p3+p7 → p3 (RGBA + bias)
Useful for debugging static feature contribution in CNN v2.
Updated doc/CNN_V2_DEBUG_TOOLS.md with --mix usage examples.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Add identity weight generator and composited layer save for debugging
HTML/C++ output differences.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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