demo.git - Vide-coded 64k demo system

Age	Commit message (Expand)	Author
26 hours	opt: Vec4-optimize CNN convolution shaders for SIMD	skal
26 hours	chore: Update CNN architecture to 3×3×3 with new trained weights	skal
28 hours	fix: Correct UV coordinate computation to match PyTorch linspace	skal
28 hours	fix: Add clamp to CNN final layer to match PyTorch training	skal
28 hours	refactor: Optimize CNN grayscale computation	skal
28 hours	update train_cnn.py and shader	skal
29 hours	fix: CNN training normalization pipeline consistency	skal
30 hours	udpate CNN shader code.	skal
30 hours	refactor: Optimize CNN normalization to eliminate redundant conversions	skal
30 hours	fix: Flip Y-axis to match ShaderToy coordinate convention	skal
31 hours	feat: Add Scene1 effect from ShaderToy (raymarching cube & sphere)	skal
31 hours	fix: Support variable kernel sizes in CNN layer generation	skal
32 hours	feat: CNN RGBD→grayscale with 7-channel augmented input	skal
33 hours	fix: Resolve CNN effect black screen bug (framebuffer capture + uniforms)	skal
36 hours	feat: Add multi-layer CNN support with framebuffer capture and blend control	skal
38 hours	feat: Add coordinate-aware CNN layer 0 for position-dependent stylization	skal
41 hours	feat: Add CNN post-processing effect with modular WGSL architecture	skal
2 days	feat: Implement workspace system (Task #77)	skal