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Vide-coded 64k demo system
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19 hours
add --save-intermediates to train.py and cnn_test
skal
20 hours
fix: Move sigmoid activation to call site in CNN layer shader
skal
20 hours
fix: Replace clamp with sigmoid in CNN final layer
skal
20 hours
feat: Add early stopping to CNN training
skal
20 hours
fix: CNN training/inference to match WGSL sliding window
skal
21 hours
format .wgsl layer code (cosmetics)
skal
22 hours
fix: Guard cnn_test build with STRIP_ALL check
skal
22 hours
refactor: Modularize CMake build system into 10 specialized modules
skal
22 hours
fix: CNN test tool GPU readback with wgpuDevicePoll
skal
23 hours
debug: Add shader load verification and GPU sync to CNN test tool
skal
23 hours
fix: CNN test tool ping-pong bug and RGBA16Float intermediates
skal
23 hours
feat: Add CNN shader testing tool with GPU texture readback
skal
29 hours
fix: Use patch-based inference to match CNN training distribution
skal
29 hours
opt: Move invariant in1 calculation outside CNN convolution loops
skal
31 hours
opt: Vec4-optimize CNN convolution shaders for SIMD
skal
31 hours
chore: Update CNN architecture to 3×3×3 with new trained weights
skal
31 hours
docs: Update CNN training documentation with patch extraction
skal
31 hours
feat: Add salient-point patch extraction for CNN training
skal
33 hours
fix: Use ClampToEdge sampler for CNN to avoid edge wrapping
skal
33 hours
fix: Correct UV coordinate computation to match PyTorch linspace
skal
33 hours
fix: Add clamp to CNN final layer to match PyTorch training
skal
33 hours
fix: PostProcessHelperTest signature and fixture sharing
skal
33 hours
refactor: Optimize CNN grayscale computation
skal
33 hours
update train_cnn.py and shader
skal
34 hours
docs: Add inference mode to training documentation
skal
34 hours
feat: Add inference mode to train_cnn.py for ground truth generation
skal
34 hours
fix: CNN training normalization pipeline consistency
skal
35 hours
udpate CNN shader code.
skal
35 hours
feat: Add --shader-only option to convert_shadertoy.py
skal
35 hours
refactor: Optimize CNN normalization to eliminate redundant conversions
skal
35 hours
update timeline.seq
skal
35 hours
fix: Flip Y-axis to match ShaderToy coordinate convention
skal
36 hours
refactor: Improve convert_shadertoy.py to generate compile-ready code
skal
36 hours
feat: Add Scene1 effect from ShaderToy (raymarching cube & sphere)
skal
36 hours
chore: Remove incomplete CubeSphere effect
skal
36 hours
docs: Fix EFFECT keyword syntax and add automation-friendly workflow
skal
36 hours
feat: Add ShaderToy conversion tools
skal
36 hours
fix: Support variable kernel sizes in CNN layer generation
skal
36 hours
docs: Document WGPU builder refactoring in COMPLETED.md
skal
36 hours
refactor: Factor WGPU boilerplate into builder pattern helpers
skal
37 hours
feat: CNN RGBD→grayscale with 7-channel augmented input
skal
38 hours
udpate
skal
38 hours
update timeline
skal
38 hours
fix: Resolve CNN effect black screen bug (framebuffer capture + uniforms)
skal
40 hours
fix: Capture scene framebuffer before post-processing for CNN effect
skal
41 hours
feat: Add multi-layer CNN support with framebuffer capture and blend control
skal
43 hours
docs: Update and streamline CNN training documentation
skal
43 hours
feat: Add checkpointing support to CNN training script
skal
43 hours
fix: Auto-expand single kernel size to all layers in training script
skal
43 hours
update target images
skal
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