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Code Issues Projects Releases Wiki Activity

Fixes (#18777)

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* Remove tracked object update resets

* Adjust face blur reduction

* Add space for config editor buttons

* Slight adjustment

* Fix double thats

* update icons

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen
2025-06-19 09:20:33 -06:00
committed by GitHub
parent 42cae5d9ee
commit fe571dc217
7 changed files with 26 additions and 41 deletions
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27
frigate/data_processing/common/face/model.py
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@@ -108,21 +108,24 @@ class FaceRecognizer(ABC):
image, M, (output_width, output_height), flags=cv2.INTER_CUBIC
)
def get_blur_confidence_reduction(self, input: np.ndarray) -> tuple[float, float]:
def get_blur_confidence_reduction(self, input: np.ndarray) -> float:
"""Calculates the reduction in confidence based on the blur of the image."""
if not self.config.face_recognition.blur_confidence_filter:
return 0, 0.0
return 0.0
variance = cv2.Laplacian(input, cv2.CV_64F).var()
logger.debug(f"face detected with blurriness {variance}")
if variance < 80: # image is very blurry
return variance, 0.05
elif variance < 100: # image moderately blurry
return variance, 0.03
elif variance < 150: # image is slightly blurry
return variance, 0.01
if variance < 120: # image is very blurry
return 0.06
elif variance < 160: # image moderately blurry
return 0.04
elif variance < 200: # image is slightly blurry
return 0.02
elif variance < 250: # image is mostly clear
return 0.01
else:
return variance, 0.0
return 0.0
def similarity_to_confidence(
@@ -234,8 +237,7 @@ class FaceNetRecognizer(FaceRecognizer):
# face recognition is best run on grayscale images
# get blur factor before aligning face
variance, blur_reduction = self.get_blur_confidence_reduction(face_image)
logger.debug(f"face detected with blurriness {variance}")
blur_reduction = self.get_blur_confidence_reduction(face_image)
# align face and run recognition
img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])
@@ -345,8 +347,7 @@ class ArcFaceRecognizer(FaceRecognizer):
# face recognition is best run on grayscale images
# get blur reduction before aligning face
variance, blur_reduction = self.get_blur_confidence_reduction(face_image)
logger.debug(f"face detected with blurriness {variance}")
blur_reduction = self.get_blur_confidence_reduction(face_image)
# align face and run recognition
img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])