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Vide-coded 64k demo system
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train_cnn.py
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9 hours
feat: Add inference mode to train_cnn.py for ground truth generation
skal
9 hours
fix: CNN training normalization pipeline consistency
skal
10 hours
refactor: Optimize CNN normalization to eliminate redundant conversions
skal
11 hours
fix: Support variable kernel sizes in CNN layer generation
skal
12 hours
feat: CNN RGBD→grayscale with 7-channel augmented input
skal
16 hours
feat: Add multi-layer CNN support with framebuffer capture and blend control
skal
18 hours
feat: Add checkpointing support to CNN training script
skal
18 hours
fix: Auto-expand single kernel size to all layers in training script
skal
18 hours
feat: Add coordinate-aware CNN layer 0 for position-dependent stylization
skal