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Nest Identify/Auto-Match/Modify under /people with redirects; reject blur/extreme pose at Process; Name-cluster on Identify; axe smoke tests; helpers to rotate DEV admin password and seed match_decisions.
63 lines
2.5 KiB
Python
63 lines
2.5 KiB
Python
"""Configuration values used by the PunimTag web services.
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This module replaces the legacy desktop configuration to keep the web
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application self-contained.
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"""
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from __future__ import annotations
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# Supported image formats for uploads/imports
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SUPPORTED_IMAGE_FORMATS = {".jpg", ".jpeg", ".png", ".bmp", ".tiff", ".tif"}
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# Supported video formats for scanning (not processed for faces)
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SUPPORTED_VIDEO_FORMATS = {".mp4", ".mov", ".avi", ".mkv", ".webm", ".m4v", ".flv", ".wmv", ".mpg", ".mpeg"}
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# DeepFace behavior
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DEEPFACE_ENFORCE_DETECTION = False
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DEEPFACE_ALIGN_FACES = True
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# Face filtering thresholds (Immich-style: prefer precision over recall)
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MIN_FACE_CONFIDENCE = 0.55 # was 0.4 — junk detections poison matching
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MIN_FACE_SIZE = 40
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MAX_FACE_SIZE = 1500
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# Matching tolerance and calibration options
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DEFAULT_FACE_TOLERANCE = 0.5 # Lowered from 0.6 for stricter matching
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USE_CALIBRATED_CONFIDENCE = True
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CONFIDENCE_CALIBRATION_METHOD = "empirical" # "empirical", "linear", or "sigmoid"
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# Immich-inspired precision gates (false accepts hurt more than misses)
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# Hard ceiling on cosine distance regardless of adaptive tolerance
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MAX_RECOGNITION_DISTANCE = 0.50
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# Require best person to beat runner-up by this margin (sibling/lookalike guard)
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MIN_NEXT_BEST_PERSON_MARGIN = 0.08
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# Auto-accept: distance must be this close AND (multi-ref agree OR single very close)
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AUTO_ACCEPT_MAX_DISTANCE = 0.35
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AUTO_ACCEPT_MIN_REF_AGREE = 2
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# Auto-match face size filtering
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# Minimum face size as percentage of image area (0.5% = 0.005)
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# Faces smaller than this are excluded from auto-match to avoid generic encodings
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MIN_AUTO_MATCH_FACE_SIZE_RATIO = 0.005 # 0.5% of image area
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# Auto-match reference / accept gates (Phase 2 accuracy)
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# Reference faces below this quality are not used for matching
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MIN_AUTO_MATCH_REFERENCE_QUALITY = 0.5 # was 0.3 — prefer clearer refs
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# Default Auto-Accept threshold (%) — align UI copy (~85%) with code
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DEFAULT_AUTO_ACCEPT_THRESHOLD = 85.0
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# Browse vs Run tolerances (UI defaults; lower = stricter)
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DEFAULT_BROWSE_TOLERANCE = 0.5
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DEFAULT_RUN_TOLERANCE = 0.4
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# Phase 4: match each person against up to N trusted refs; keep best (min) distance
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AUTO_MATCH_MAX_REFERENCE_FACES = 3
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# Phase 5: reject junk detections at Process time (Immich-style precision)
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# Laplacian variance on grayscale face crop; below this = too blurry to keep
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MIN_LAPLACIAN_VARIANCE = 80.0
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# Extreme pose (degrees) — mirrors PoseDetector EXTREME_* thresholds
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MAX_FACE_YAW_DEGREES = 60.0
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MAX_FACE_PITCH_DEGREES = 45.0
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