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December 3, 2019 16:26
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Face bounding box
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| face_detector = dlib.get_frontal_face_detector() | |
| lndMrkDetector = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") | |
| def Eyeliner(frame): | |
| gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
| bounding_boxes = face_detector(gray, 0)# The 2nd argument means that we upscale the image by 'x' number of times to detect more faces. | |
| if bounding_boxes: | |
| for i, bb in enumerate(bounding_boxes): | |
| face_landmark_points = lndMrkDetector(gray, bb) | |
| face_landmark_points = face_utils.shape_to_np(face_landmark_points) | |
| eye_landmark_points = getEyeLandmarkPts(face_landmark_points) | |
| eyeliner_points = getEyelinerPoints(eye_landmark_points) | |
| op = drawEyeliner(frame, eyeliner_points) | |
| return op |
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Hi I'm new on Machine Learning.Please tell me your opinions on my projects.Thank you !.