Example #1
0
 def __init__(self):
     self._classifiers = [
         (x, classifiers.loads(y))
         for x, y in file_parse.load(os.environ['CLASSIFIERS_FN'])
     ]
     self._feat = features.select_feature(os.environ['FEATURE'])
     self._image_height, self._image_width = _parse_height_width()
 def __init__(self):
     self.output_images = int(os.environ.get('OUTPUT_IMAGES', 0))
     path = 'haarcascade_frontalface_default.xml'
     if os.path.exists(path):
         self.cascade = cv.Load(path)
     else:
         raise ValueError("Can't find .xml file!")
     classifier_name, classifier_ser = file_parse.load(os.environ['CLASSIFIERS_FN'])
     self._classifiers = [(classifier_name, classifiers.loads(classifier_ser))]
     self._feat = features.select_feature(os.environ['FEATURE'])
     self._image_height, self._image_width = _parse_height_width()
     self._max_frames = os.environ.get('MAX_FRAMES', float('inf'))
     self._block_size = os.environ.get('BLOCK_SIZE', 900)
     self._match_line_prob = os.environ.get('MATCH_LINE_PROB', 0)
     self._frame_output_prob = os.environ.get('FRAME_OUTPUT_PROB', 0)
     self.timer = Timer()
Example #3
0
 def __init__(self):
     self.output_images = int(os.environ.get('OUTPUT_IMAGES', 0))
     path = 'haarcascade_frontalface_default.xml'
     if os.path.exists(path):
         self.cascade = cv.Load(path)
     else:
         raise ValueError("Can't find .xml file!")
     classifier_name, classifier_ser = file_parse.load(
         os.environ['CLASSIFIERS_FN'])
     self._classifiers = [(classifier_name,
                           classifiers.loads(classifier_ser))]
     self._feat = features.select_feature(os.environ['FEATURE'])
     self._image_height, self._image_width = _parse_height_width()
     self._max_frames = os.environ.get('MAX_FRAMES', float('inf'))
     self._block_size = os.environ.get('BLOCK_SIZE', 900)
     self._match_line_prob = os.environ.get('MATCH_LINE_PROB', 0)
     self._frame_output_prob = os.environ.get('FRAME_OUTPUT_PROB', 0)
     self.timer = Timer()
 def __init__(self):
     self._classifiers = [(x, classifiers.loads(y))
                          for x, y in file_parse.load(os.environ['CLASSIFIERS_FN'])]
     self._feat = features.select_feature(os.environ['FEATURE'])
     self._image_height, self._image_width = _parse_height_width()
 def __init__(self):
     self._classifiers = [(x, classifiers.loads(y))
                          for x, y in file_parse.load(os.environ['CLASSIFIERS_FN'])]