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fix linter errors
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@ -6,10 +6,8 @@ from deepface.commons import functions
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def build_model():
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url = (
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"https://github.com/opencv/opencv_zoo/raw/main/models/"
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+ "face_detection_yunet/face_detection_yunet_2023mar.onnx"
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)
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# pylint: disable=C0301
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url = "https://github.com/opencv/opencv_zoo/raw/main/models/face_detection_yunet/face_detection_yunet_2023mar.onnx"
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file_name = "face_detection_yunet_2023mar.onnx"
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home = functions.get_deepface_home()
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if os.path.isfile(home + f"/.deepface/weights/{file_name}") is False:
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@ -44,9 +42,10 @@ def detect_face(detector, image, align=True, score_threshold=0.9):
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if faces is None:
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return resp
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for face in faces:
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# pylint: disable=W0105
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"""
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The detection output faces is a two-dimension array of type CV_32F,
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whose rows are the detected face instances, columns are the location
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whose rows are the detected face instances, columns are the location
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of a face and 5 facial landmarks.
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The format of each row is as follows:
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x1, y1, w, h, x_re, y_re, x_le, y_le, x_nt, y_nt,
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@ -58,7 +57,7 @@ def detect_face(detector, image, align=True, score_threshold=0.9):
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"""
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(x, y, w, h, x_re, y_re, x_le, y_le) = list(map(int, face[:8]))
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# Yunet returns negative coordinates if it thinks part of
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# Yunet returns negative coordinates if it thinks part of
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# the detected face is outside the frame.
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# We set the coordinate to 0 if they are negative.
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x = max(x, 0)
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