demo.git - Vide-coded 64k demo system

Age	Commit message (Expand)	Author
28 hours	opt: Move invariant in1 calculation outside CNN convolution loops	skal
29 hours	opt: Vec4-optimize CNN convolution shaders for SIMD	skal
30 hours	chore: Update CNN architecture to 3×3×3 with new trained weights	skal
31 hours	fix: Correct UV coordinate computation to match PyTorch linspace	skal
31 hours	fix: Add clamp to CNN final layer to match PyTorch training	skal
31 hours	refactor: Optimize CNN grayscale computation	skal
31 hours	update train_cnn.py and shader	skal
33 hours	fix: CNN training normalization pipeline consistency	skal
33 hours	udpate CNN shader code.	skal
34 hours	refactor: Optimize CNN normalization to eliminate redundant conversions	skal
34 hours	fix: Flip Y-axis to match ShaderToy coordinate convention	skal
34 hours	feat: Add Scene1 effect from ShaderToy (raymarching cube & sphere)	skal
35 hours	fix: Support variable kernel sizes in CNN layer generation	skal
36 hours	feat: CNN RGBD→grayscale with 7-channel augmented input	skal
37 hours	fix: Resolve CNN effect black screen bug (framebuffer capture + uniforms)	skal
40 hours	feat: Add multi-layer CNN support with framebuffer capture and blend control	skal
42 hours	feat: Add coordinate-aware CNN layer 0 for position-dependent stylization	skal
44 hours	feat: Add CNN post-processing effect with modular WGSL architecture	skal
2 days	feat: Implement workspace system (Task #77)	skal