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fix: raise BLUR_THRESHOLD default from 100 to 120 to match Frigate's floor

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Frigate classifies images with Laplacian variance < 120 as "very blurry"
and its own docs recommend avoiding blurry training data. Winnow was
accepting images in the 100-120 range that Frigate considers too blurry.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
flan
2026-06-13 15:56:52 +00:00
co-authored by Claude Sonnet 4.6
parent 2b1d9e8b8a
commit ab641847b2
3 changed files with 4 additions and 4 deletions
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.env.example
+1 -1
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@@ -28,7 +28,7 @@ STRATEGY=auto
# ENABLE_FACE_ALIGNMENT=true # Align face before cropping (default: true) # ENABLE_FACE_ALIGNMENT=true # Align face before cropping (default: true)
# USE_FULL_RESOLUTION=true # Use full-res images vs thumbnails (default: true) # USE_FULL_RESOLUTION=true # Use full-res images vs thumbnails (default: true)
# MIN_CONFIDENCE=0.7 # Minimum face detection confidence (default: 0.7) # MIN_CONFIDENCE=0.7 # Minimum face detection confidence (default: 0.7)
# BLUR_THRESHOLD=100.0 # Laplacian blur threshold; lower = accept more blur (default: 100.0) # BLUR_THRESHOLD=120.0 # Laplacian blur threshold; lower = accept more blur (default: 120.0)
# MAX_AUTO_IMAGES=80 # Hard cap on auto-diversity selection (default: 80) # MAX_AUTO_IMAGES=80 # Hard cap on auto-diversity selection (default: 80)
# ── Caching & Models ────────────────────────────────────────────────────────── # ── Caching & Models ──────────────────────────────────────────────────────────
tests/test_config.py
+1 -1
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@@ -19,7 +19,7 @@ def test_config_loads_defaults(monkeypatch):
assert cfg.YEARS_FILTER == 10 assert cfg.YEARS_FILTER == 10
assert cfg.MIN_FACE_WIDTH == 90 assert cfg.MIN_FACE_WIDTH == 90
assert cfg.MIN_FACE_COUNT == 0 assert cfg.MIN_FACE_COUNT == 0
assert cfg.BLUR_THRESHOLD == 100.0 assert cfg.BLUR_THRESHOLD == 120.0
assert cfg.MIN_CONFIDENCE == 0.7 assert cfg.MIN_CONFIDENCE == 0.7
assert cfg.MAX_AUTO_IMAGES == 80 assert cfg.MAX_AUTO_IMAGES == 80
assert cfg.QUALITY_REPLACEMENT is True assert cfg.QUALITY_REPLACEMENT is True
winnow/config.py
+2 -2
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@@ -27,7 +27,7 @@ class _Config:
# Quality filtering # Quality filtering
MIN_FACE_WIDTH: int = 90 MIN_FACE_WIDTH: int = 90
BLUR_THRESHOLD: float = 100.0 BLUR_THRESHOLD: float = 120.0
MIN_CONFIDENCE: float = 0.7 MIN_CONFIDENCE: float = 0.7
MAX_AUTO_IMAGES: int = 80 MAX_AUTO_IMAGES: int = 80
QUALITY_REPLACEMENT: bool = True QUALITY_REPLACEMENT: bool = True
@@ -58,7 +58,7 @@ class _Config:
self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10")) self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10"))
self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "90")) self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "90"))
self.MIN_FACE_COUNT = int(os.getenv("MIN_FACE_COUNT", "0")) self.MIN_FACE_COUNT = int(os.getenv("MIN_FACE_COUNT", "0"))
self.BLUR_THRESHOLD = float(os.getenv("BLUR_THRESHOLD", "100.0")) self.BLUR_THRESHOLD = float(os.getenv("BLUR_THRESHOLD", "120.0"))
self.MIN_CONFIDENCE = float(os.getenv("MIN_CONFIDENCE", "0.7")) self.MIN_CONFIDENCE = float(os.getenv("MIN_CONFIDENCE", "0.7"))
self.MAX_AUTO_IMAGES = int(os.getenv("MAX_AUTO_IMAGES", "80")) self.MAX_AUTO_IMAGES = int(os.getenv("MAX_AUTO_IMAGES", "80"))
self.QUALITY_REPLACEMENT = os.getenv("QUALITY_REPLACEMENT", "true").lower() in ("true", "1", "yes") self.QUALITY_REPLACEMENT = os.getenv("QUALITY_REPLACEMENT", "true").lower() in ("true", "1", "yes")