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Vide-coded 64k demo system
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17 hours
opt: Move invariant in1 calculation outside CNN convolution loops
skal
18 hours
opt: Vec4-optimize CNN convolution shaders for SIMD
skal
19 hours
chore: Update CNN architecture to 3×3×3 with new trained weights
skal
20 hours
fix: Correct UV coordinate computation to match PyTorch linspace
skal
20 hours
fix: Add clamp to CNN final layer to match PyTorch training
skal
20 hours
refactor: Optimize CNN grayscale computation
skal
21 hours
update train_cnn.py and shader
skal
22 hours
fix: CNN training normalization pipeline consistency
skal
22 hours
udpate CNN shader code.
skal
23 hours
refactor: Optimize CNN normalization to eliminate redundant conversions
skal
23 hours
update timeline.seq
skal
23 hours
fix: Flip Y-axis to match ShaderToy coordinate convention
skal
23 hours
feat: Add Scene1 effect from ShaderToy (raymarching cube & sphere)
skal
23 hours
chore: Remove incomplete CubeSphere effect
skal
23 hours
docs: Fix EFFECT keyword syntax and add automation-friendly workflow
skal
24 hours
fix: Support variable kernel sizes in CNN layer generation
skal
25 hours
feat: CNN RGBD→grayscale with 7-channel augmented input
skal
25 hours
udpate
skal
26 hours
update timeline
skal
26 hours
fix: Resolve CNN effect black screen bug (framebuffer capture + uniforms)
skal
29 hours
feat: Add multi-layer CNN support with framebuffer capture and blend control
skal
31 hours
feat: Add coordinate-aware CNN layer 0 for position-dependent stylization
skal
34 hours
feat: Add CNN post-processing effect with modular WGSL architecture
skal
46 hours
fix: Reduce default audio volumes to prevent clipping
skal
47 hours
feat: Add workspace header comments to config files
skal
47 hours
feat: Implement workspace system (Task #77)
skal