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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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winnow/config.py
+2 -2
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@@ -27,7 +27,7 @@ class _Config:
# Quality filtering
MIN_FACE_WIDTH: int = 90
BLUR_THRESHOLD: float = 100.0
BLUR_THRESHOLD: float = 120.0
MIN_CONFIDENCE: float = 0.7
MAX_AUTO_IMAGES: int = 80
QUALITY_REPLACEMENT: bool = True
@@ -58,7 +58,7 @@ class _Config:
self.YEARS_FILTER = int(os.getenv("YEARS_FILTER", "10"))
self.MIN_FACE_WIDTH = int(os.getenv("MIN_FACE_WIDTH", "90"))
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.MAX_AUTO_IMAGES = int(os.getenv("MAX_AUTO_IMAGES", "80"))
self.QUALITY_REPLACEMENT = os.getenv("QUALITY_REPLACEMENT", "true").lower() in ("true", "1", "yes")