4 Commits

Include renames

Author	SHA1	Message	Date
ashim-hq	d7b6037b3d	fix: use MODELS_PATH env var for AI model paths instead of hardcoded /opt/models ... The on-demand feature download system stores models at /data/ai/models/ (set via MODELS_PATH env var), but all Python scripts hardcoded /opt/models/ as the base path. Each script now reads MODELS_PATH and falls back to /opt/models for backward compatibility.	2026-04-18 10:17:01 +08:00
3 people	519541867e	fix(ai): support both old and new mediapipe APIs for airgapped Docker (#69) ... MediaPipe >= 0.10.30 removed the mp.solutions namespace. This broke face blur, face enhance, red-eye removal, and photo restoration for users running newer mediapipe versions (closes #43). All 5 Python scripts that use mediapipe now try the legacy mp.solutions API first and fall back to the new mp.tasks API on AttributeError. Model files (blaze_face_short_range.task, face_landmarker.task) are pre-downloaded during Docker build into /opt/models/mediapipe/ so the image works fully airgapped. Local dev auto-downloads to .models/. Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>	2026-04-14 16:18:17 +08:00
stirling-image	c2c104e887	fix(passport-photo): use bg-background for dropdown to match app theme	2026-04-14 16:01:35 +08:00
3 people	9ddeac92b6	feat(red-eye-removal): SOTA red eye removal with MediaPipe Face Mesh + OpenCV LAB correction (#60) ... Uses MediaPipe Face Mesh (refine_landmarks=True) for precise iris localization and OpenCV LAB color space for accurate red-eye detection and luminance-preserving correction. Zero new dependencies - leverages existing MediaPipe + OpenCV stack. - Sensitivity slider (LAB 'a' channel threshold) - Correction strength slider (pupil darkening factor) - Output format selector (Original/PNG/JPEG/WebP) - Before/after preview, progress stages, batch processing - Pipeline support via Controls/Settings split Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>	2026-04-13 20:22:30 +08:00