demo.git - Vide-coded 64k demo system

Age	Commit message (Expand)	Author
17 hours	fix: update PeakMeterEffect uniform structure in test_demo	skal
18 hours	docs: consolidate beat-based timing documentation	skal
18 hours	fix: update shader files to use beat_phase instead of beat	skal
18 hours	feat: implement beat-based timing system	skal
18 hours	add trained layers	skal
18 hours	feat: Timeline editor UI improvements	skal
18 hours	feat: timeline editor improvements - sticky ticks, grid, collapse	skal
19 hours	docs: Add CNN flatten mode technical analysis	skal
19 hours	docs: Update CNN comments and add bias fix summary	skal
19 hours	fix: CNN bias accumulation and output format improvements	skal
23 hours	fix: Release cached samplers before WGPU shutdown	skal
23 hours	fix: Resolve WGPU threading crash in cnn_test	skal
25 hours	update cnn code	skal
25 hours	refactor: Use linspace(-1,1) directly for coords	skal
25 hours	fix: Compute gray from [0,1] RGB in CNN shader generator	skal
26 hours	fix: Register cnn_conv1x1 snippet and add verification	skal
30 hours	docs: Sync GEMINI.md with CLAUDE.md structure	skal
30 hours	docs: Streamline auxiliary texture init doc for handoff	skal
30 hours	fix: Use actual resolution in RotatingCubeEffect	skal
30 hours	docs: Update tech doc with Renderer3D initialization fix	skal
30 hours	fix: Use initialized_ flag instead of ctx_.device check	skal
30 hours	fix: Complete auxiliary texture initialization fix	skal
30 hours	docs: Add auxiliary texture initialization tech doc	skal
30 hours	fix: Call resize() before init() to set dimensions first	skal
30 hours	refactor: Use lazy initialization for auxiliary textures	skal
30 hours	fix: Resolve auxiliary texture resolution mismatch bug	skal
31 hours	refactor: Simplify effect render API and fix uniform initialization	skal
31 hours	add --save-intermediates to train.py and cnn_test	skal
32 hours	fix: Move sigmoid activation to call site in CNN layer shader	skal
32 hours	fix: Replace clamp with sigmoid in CNN final layer	skal
33 hours	feat: Add early stopping to CNN training	skal
33 hours	fix: CNN training/inference to match WGSL sliding window	skal
33 hours	format .wgsl layer code (cosmetics)	skal
34 hours	fix: Guard cnn_test build with STRIP_ALL check	skal
34 hours	refactor: Modularize CMake build system into 10 specialized modules	skal
34 hours	fix: CNN test tool GPU readback with wgpuDevicePoll	skal
35 hours	debug: Add shader load verification and GPU sync to CNN test tool	skal
35 hours	fix: CNN test tool ping-pong bug and RGBA16Float intermediates	skal
35 hours	feat: Add CNN shader testing tool with GPU texture readback	skal
42 hours	fix: Use patch-based inference to match CNN training distribution	skal
42 hours	opt: Move invariant in1 calculation outside CNN convolution loops	skal
43 hours	opt: Vec4-optimize CNN convolution shaders for SIMD	skal
43 hours	chore: Update CNN architecture to 3×3×3 with new trained weights	skal
43 hours	docs: Update CNN training documentation with patch extraction	skal
43 hours	feat: Add salient-point patch extraction for CNN training	skal
45 hours	fix: Use ClampToEdge sampler for CNN to avoid edge wrapping	skal
45 hours	fix: Correct UV coordinate computation to match PyTorch linspace	skal
45 hours	fix: Add clamp to CNN final layer to match PyTorch training	skal
45 hours	fix: PostProcessHelperTest signature and fixture sharing	skal
45 hours	refactor: Optimize CNN grayscale computation	skal