Initialize the dlib detectors and predictors.
(self, detection_path, landmark5_path)
| 142 | self.input_img = cv2.resize(self.input_img, (0,0), fx=f, fy=f, interpolation=cv2.INTER_LINEAR) |
| 143 | |
| 144 | def init_dlib(self, detection_path, landmark5_path): |
| 145 | """Initialize the dlib detectors and predictors.""" |
| 146 | try: |
| 147 | import dlib |
| 148 | except ImportError: |
| 149 | print('Please install dlib by running:' 'conda install -c conda-forge dlib') |
| 150 | detection_path = load_file_from_url(url=detection_path, model_dir='weights/dlib', progress=True, file_name=None) |
| 151 | landmark5_path = load_file_from_url(url=landmark5_path, model_dir='weights/dlib', progress=True, file_name=None) |
| 152 | face_detector = dlib.cnn_face_detection_model_v1(detection_path) |
| 153 | shape_predictor_5 = dlib.shape_predictor(landmark5_path) |
| 154 | return face_detector, shape_predictor_5 |
| 155 | |
| 156 | def get_face_landmarks_5_dlib(self, |
| 157 | only_keep_largest=False, |
nothing calls this directly
no test coverage detected