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Adjust face blur reduction

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This commit is contained in:
Nicolas Mowen 2025-06-18 13:02:40 -06:00
parent 347a5c62e7
commit 89623d8de1
1 changed files with 12 additions and 13 deletions
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25
frigate/data_processing/common/face/model.py
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@ -108,21 +108,22 @@ class FaceRecognizer(ABC):
image, M, (output_width, output_height), flags=cv2.INTER_CUBIC 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.""" """Calculates the reduction in confidence based on the blur of the image."""
if not self.config.face_recognition.blur_confidence_filter: if not self.config.face_recognition.blur_confidence_filter:
return 0, 0.0 return 0.0
variance = cv2.Laplacian(input, cv2.CV_64F).var() variance = cv2.Laplacian(input, cv2.CV_64F).var()
logger.debug(f"face detected with blurriness {variance}")
if variance < 80: # image is very blurry if variance < 120: # image is very blurry
return variance, 0.05 return 0.06
elif variance < 100: # image moderately blurry elif variance < 160: # image moderately blurry
return variance, 0.03 return 0.04
elif variance < 150: # image is slightly blurry elif variance < 200: # image is slightly blurry
return variance, 0.01 return 0.02
else: else:
return variance, 0.0 return 0.0
def similarity_to_confidence( def similarity_to_confidence(
@ -234,8 +235,7 @@ class FaceNetRecognizer(FaceRecognizer):
# face recognition is best run on grayscale images # face recognition is best run on grayscale images
# get blur factor before aligning face # get blur factor before aligning face
variance, blur_reduction = self.get_blur_confidence_reduction(face_image) blur_reduction = self.get_blur_confidence_reduction(face_image)
logger.debug(f"face detected with blurriness {variance}")
# align face and run recognition # align face and run recognition
img = self.align_face(face_image, face_image.shape[1], face_image.shape[0]) img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])
@ -345,8 +345,7 @@ class ArcFaceRecognizer(FaceRecognizer):
# face recognition is best run on grayscale images # face recognition is best run on grayscale images
# get blur reduction before aligning face # get blur reduction before aligning face
variance, blur_reduction = self.get_blur_confidence_reduction(face_image) blur_reduction = self.get_blur_confidence_reduction(face_image)
logger.debug(f"face detected with blurriness {variance}")
# align face and run recognition # align face and run recognition
img = self.align_face(face_image, face_image.shape[1], face_image.shape[0]) img = self.align_face(face_image, face_image.shape[1], face_image.shape[0])