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6 hoursfeat: Add inference mode to train_cnn.py for ground truth generationskal
6 hoursfix: CNN training normalization pipeline consistencyskal
7 hoursrefactor: Optimize CNN normalization to eliminate redundant conversionsskal
8 hoursfix: Support variable kernel sizes in CNN layer generationskal
9 hoursfeat: CNN RGBD→grayscale with 7-channel augmented inputskal
10 hoursudpateskal
13 hoursfeat: Add multi-layer CNN support with framebuffer capture and blend controlskal
15 hoursdocs: Update and streamline CNN training documentationskal
15 hoursfeat: Add checkpointing support to CNN training scriptskal
15 hoursfix: Auto-expand single kernel size to all layers in training scriptskal
15 hoursupdate target imagesskal
16 hoursfeat: Add coordinate-aware CNN layer 0 for position-dependent stylizationskal