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backend/config.py - Added MIN_AUTO_MATCH_FACE_SIZE_RATIO = 0.005
backend/services/face_service.py - Multiple changes:
Added load_face_encoding() function (supports float32 and float64)
Added _calculate_face_size_ratio() function
Updated find_similar_faces() to filter small faces
Updated find_auto_match_matches() to exclude small reference faces
Fixed reference face quality calculation (use actual quality, not hardcoded 0.5)
Fixed duplicate detection (exclude faces from same photo)
Updated confidence threshold from 40% to 50%
Updated confidence calibration (moderate version)
backend/api/faces.py - Updated default tolerance to 0.5 for auto-match endpoints
backend/schemas/faces.py - Updated default tolerance to 0.5
admin-frontend/src/pages/AutoMatch.tsx - Updated default tolerance to 0.5
admin-frontend/src/api/faces.ts - Added tolerance parameter support
This commit is contained in:
Tanya
2026-02-06 14:16:11 -05:00
parent 863b6188b4
commit 6b6b1449b2
6 changed files with 265 additions and 66 deletions
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backend/schemas/faces.py
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@@ -212,7 +212,7 @@ class AutoMatchRequest(BaseModel):
model_config = ConfigDict(protected_namespaces=())
tolerance: float = Field(0.6, ge=0.0, le=1.0, description="Tolerance threshold (lower = stricter matching)")
tolerance: float = Field(0.5, ge=0.0, le=1.0, description="Tolerance threshold (lower = stricter matching)")
auto_accept: bool = Field(False, description="Enable automatic acceptance of matching faces")
auto_accept_threshold: float = Field(70.0, ge=0.0, le=100.0, description="Similarity threshold for auto-acceptance (0-100%)")