Python dlib.face_recognition_model_v1() Examples
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Example #1
Source File: dlib_featurizer.py From ColumbiaImageSearch with Apache License 2.0 | 6 votes |
def __init__(self, global_conf_in, prefix="DLIBFEAT_"): """DLibFeaturizer constructor. :param global_conf_in: configuration file or dictionary :type global_conf_in: str, dict :param prefix: prefix in configuration :type prefix: str :raise ValueError: if ``pred_path`` or ``rec_path`` is not set in configuration """ super(DLibFeaturizer, self).__init__(global_conf_in, prefix) self.set_pp(pp="DLibFeaturizer") if self.verbose > 0: print("[{}.log] global_conf: {}".format(self.pp, self.global_conf)) # Get shape predictor pred_path = self.get_required_param('pred_path') # Test if file exits there if not os.path.exists(pred_path): # Download file if not download_model(www_pred_path, pred_path, pred_bz2_file) # Intialize shape predictor self.sp = dlib.shape_predictor(str(pred_path)) # Get recognizer model rec_path = self.get_required_param('rec_path') # Test if file exits there if not os.path.exists(rec_path): # Download file if not download_model(www_rec_path, rec_path, rec_bz2_file) # Initialize recognizer model self.facerec = dlib.face_recognition_model_v1(str(rec_path))