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| author | skal <pascal.massimino@gmail.com> | 2026-02-13 12:47:43 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-02-13 12:47:43 +0100 |
| commit | 5074e4caec017d6607de5806858d0271a554d77c (patch) | |
| tree | 3a29e3696fbea56ffbde399d6b2405f436309cf7 /tools/validate_uniforms.py | |
| parent | 32d36c7b690c9d72c12269f9acf306a45860964a (diff) | |
CNN v2 training: Use target image alpha channel
Changed target loading from RGB to RGBA to preserve transparency.
Model learns to predict alpha channel from target image instead of
constant 1.0 padding.
Before: Target padded with alpha=1.0
After: Target uses actual alpha from image (or 1.0 if no alpha)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Diffstat (limited to 'tools/validate_uniforms.py')
0 files changed, 0 insertions, 0 deletions