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update alignment logic
now, left eye is the one on the left with respect to the person instead of observer
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@ -201,8 +201,8 @@ def align_face(
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Align a given image horizantally with respect to their left and right eye locations
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Align a given image horizantally with respect to their left and right eye locations
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Args:
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Args:
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img (np.ndarray): pre-loaded image with detected face
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img (np.ndarray): pre-loaded image with detected face
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left_eye (list or tuple): coordinates of left eye with respect to the you
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left_eye (list or tuple): coordinates of left eye with respect to the person itself
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right_eye(list or tuple): coordinates of right eye with respect to the you
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right_eye(list or tuple): coordinates of right eye with respect to the person itself
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Returns:
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Returns:
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img (np.ndarray): aligned facial image
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img (np.ndarray): aligned facial image
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"""
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"""
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@ -214,6 +214,6 @@ def align_face(
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if img.shape[0] == 0 or img.shape[1] == 0:
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if img.shape[0] == 0 or img.shape[1] == 0:
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return img, 0
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return img, 0
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angle = float(np.degrees(np.arctan2(right_eye[1] - left_eye[1], right_eye[0] - left_eye[0])))
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angle = float(np.degrees(np.arctan2(left_eye[1] - right_eye[1], left_eye[0] - right_eye[0])))
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img = np.array(Image.fromarray(img).rotate(angle))
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img = np.array(Image.fromarray(img).rotate(angle))
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return img, angle
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return img, angle
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