2 Commits

Author SHA1 Message Date
94385e3dcc migration to web 2025-10-31 12:10:44 -04:00
d6b1e85998 feat: Implement empirical confidence calibration for face matching
This commit introduces a new confidence calibration system that converts DeepFace distance values into actual match probabilities, addressing previous misleading confidence percentages. Key changes include the addition of calibration methods in `FaceProcessor`, updates to the `IdentifyPanel` and `AutoMatchPanel` to utilize calibrated confidence, and new configuration settings in `config.py`. The README has been updated to document these enhancements, ensuring users see more realistic match probabilities throughout the application.
2025-10-27 13:31:19 -04:00