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Use constants
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@ -81,9 +81,9 @@ class FaceProcessor(RealTimeProcessorApi):
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self.face_detector = cv2.FaceDetectorYN.create(
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"/config/model_cache/facedet/facedet.onnx",
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config="",
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input_size=(320, 320),
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score_threshold=0.8,
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nms_threshold=0.3,
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input_size=FACE_INPUT_SIZE,
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score_threshold=MIN_FACE_SCORE,
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nms_threshold=NMS_THRESHOLD
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)
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self.landmark_detector = cv2.face.createFacemarkLBF()
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self.landmark_detector.loadModel("/config/model_cache/facedet/landmarkdet.yaml")
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@ -394,7 +394,7 @@ class FaceProcessor(RealTimeProcessorApi):
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face = img[face_box[1] : face_box[3], face_box[0] : face_box[2]]
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_, thumbnail = cv2.imencode(
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".webp", face, [int(cv2.IMWRITE_WEBP_QUALITY), 100]
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".webp", face, [int(cv2.IMWRITE_WEBP_QUALITY), FACE_QUALITY]
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)
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# write face to library
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@ -441,4 +441,4 @@ class FaceProcessor(RealTimeProcessorApi):
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if self.landmark_detector:
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self.landmark_detector = None
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if self.face_recognizer:
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self.face_recognizer = None
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self.face_recognizer = None
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