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authorskal <pascal.massimino@gmail.com>2026-03-27 08:41:05 +0100
committerskal <pascal.massimino@gmail.com>2026-03-27 08:41:05 +0100
commit37df61d1a0dbd5e253f9db778c17c4187e453b8d (patch)
tree2879f69f35ddeff1ead30cb5099c1073c5ab376a /src/3d/scene.h
parentfb13e67acbc7d7dd2974a456fcb134966c47cee0 (diff)
fix(cnn_v3): L1 loss + depth-grad tanh normalization to reduce flat convergenceHEADmain
- Switch MSELoss → L1Loss in train_cnn_v3.py (median-seeking, avoids gray-blob) - Normalize depth_grad channels with tanh(10x) in cnn_v3_utils.py (bounds ±∞ signed values) - Match normalization in gbuf_pack.wgsl: tanh((right-left)*5.0) == tanh(10*central_diff) handoff(Gemini): training pipeline only; no C++ or test changes needed.
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