demo.git/training/target_3, branch mainVide-coded 64k demo systemhttps://git.taar-o.com/demo.git/atom?h=main2026-02-27T22:59:49Zremove old files, add new training set2026-02-27T22:59:49Zskalpascal.massimino@gmail.com2026-02-27T22:59:49Zurn:sha1:a1e2159b0ff2cb1ecf2c4bc1dc95bf576fda282bCNN v2: Alpha channel depth handling and layer visualization2026-02-13T22:17:42Zskalpascal.massimino@gmail.com2026-02-13T22:17:42Zurn:sha1:6fa9ccf86b0bbefb48cefae19d4162115a3d63d3
Training changes:
- Changed p3 default depth from 0.0 to 1.0 (far plane semantics)
- Extract depth from target alpha channel in both datasets
- Consistent alpha-as-depth across training/validation
Test tool enhancements (cnn_test):
- Added load_depth_from_alpha() for R32Float depth texture
- Fixed bind group layout for UnfilterableFloat sampling
- Added --save-intermediates with per-channel grayscale composites
- Each layer saved as 4x wide PNG (p0-p3 stacked horizontally)
- Global layers_composite.png for vertical layer stack overview
Investigation notes:
- Static features p4-p7 ARE computed and bound correctly
- Sin_20_y pattern visibility difference between tools under investigation
- Binary weights timestamp (Feb 13 20:36) vs HTML tool (Feb 13 22:12)
- Next: Update HTML tool with canonical binary weights
handoff(Claude): HTML tool weights update pending - base64 encoded
canonical weights ready in /tmp/weights_b64.txt for line 392 replacement.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>