External/SnapOtter
1
0
Fork 0
mirror of https://github.com/snapotter-hq/SnapOtter.git synced 2026-08-03 07:46:42 +02:00
Code Issues Packages Projects Releases Wiki Activity
704 Commits 10 Branches 89 Tags
b966d81b100b984e3d1de58e773c5a4815e11152
Commit Graph
5 Commits
Author SHA1 Message Date
ashim-hq 00041d535d feat: kill all silent fallbacks — fail clearly, never degrade silently 
Remove 9 silent fallback chains in the Python sidecar:
- upscale: RealESRGAN→Lanczos (now errors with install guidance)
- upscale: GFPGAN skip (now errors with install guidance)
- gpu: GPU→CPU (now reports device in response, never silent)
- remove_bg: alpha matting fallback (now errors with retry guidance)
- remove_bg: GPU→CPU session (now reports device)
- colorize: DDColor→OpenCV (now errors with install guidance)
- enhance_faces: CodeFormer→GFPGAN (now errors with install guidance)
- ocr: quality cascade (now errors at requested level)
- bridge: dispatcher crash retry (now reports retry in stderr)

Also: raise red_eye max_faces 10→50, face_landmarks max_num_faces configurable,
restore.py min face size 48→24px.
 2026-04-20 21:42:19 +08:00
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
stirling-imageGitHubstirling-image
 		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 1dd87f11d6 fix(passport-photo): support both old and new mediapipe APIs for face landmarks 
- Old API (mp.solutions.face_mesh) for Docker with mediapipe < 0.10.30
- New API (mp.tasks.vision.FaceLandmarker) for newer mediapipe >= 0.10.30
- Auto-downloads face_landmarker.task model on first use with new API
- Extracted shared landmark index constants and key point extraction
 2026-04-14 12:21:00 +08:00
stirling-imageGitHubstirling-image
 		2f11b9e101 feat(passport-photo): SOTA passport photo maker with compliance validation (#64) 
* feat(passport-photo): add passport specs database and tool constants

* feat(passport-photo): add MediaPipe FaceMesh landmark detection script

* feat(passport-photo): add TypeScript bridge for face landmark detection

* feat(passport-photo): add API routes with analyze and generate endpoints

* fix(passport-photo): accept landmarks from request body and fix pixel coordinate conversion

- Generate endpoint now accepts landmarks + imageWidth/imageHeight in request body
  instead of re-running AI face detection (makes generate phase instant)
- Fixed bug where normalized landmark coordinates (0-1) were used directly
  as pixel values in crop computation - now properly multiplied by imgW/imgH
- Fixed same bug in pipeline process function

* feat(passport-photo): add UI component with live preview and compliance overlay

---------

Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
 2026-04-14 09:59:48 +08:00