def do_python_eval(self): """ python evaluation wrapper Returns: ---------- None """ annopath = os.path.join(self.data_path, 'Annotations', '{:s}.xml') imageset_file = os.path.join(self.data_path, 'ImageSets', 'Main', self.image_set + '.txt') cache_dir = os.path.join(self.cache_path, self.name) aps = [] # The PASCAL VOC metric changed in 2010 use_07_metric = True if int(self.year) < 2010 else False print('VOC07 metric? ' + ('Y' if use_07_metric else 'No')) for cls_ind, cls in enumerate(self.classes): filename = self.get_result_file_template().format(cls) rec, prec, ap = voc_eval(filename, annopath, imageset_file, cls, cache_dir, ovthresh=0.5, use_07_metric=use_07_metric) aps += [ap] print('AP for {} = {:.4f}'.format(cls, ap)) print('Mean AP = {:.4f}'.format(np.mean(aps)))
def do_python_eval(self): """ python evaluation wrapper Returns: ---------- None """ annopath = os.path.join(self.data_path, 'Annotations', '{:s}.xml') imageset_file = os.path.join(self.data_path, 'ImageSets', 'Main', self.image_set + '.txt') cache_dir = os.path.join(self.cache_path, self.name) aps = [] for cls_ind, cls in enumerate(self.classes): filename = self.get_result_file_template().format(cls) rec, prec, ap = voc_eval(filename, annopath, imageset_file, cls, cache_dir, ovthresh=0.2) aps += [ap] print('AP for {} = {:.4f}'.format(cls, ap)) print('Mean AP = {:.4f}'.format(np.mean(aps)))
def do_python_eval(self): """ python evaluation wrapper Returns: ---------- None """ annopath = os.path.join(self.data_path, 'Annotations', '{:s}.xml') imageset_file = os.path.join(self.data_path, 'ImageSets', 'Main', self.image_set + '.txt') cache_dir = os.path.join(self.cache_path, self.name) aps = [] # The PASCAL VOC metric changed in 2010 use_07_metric = True if int(self.year) < 2010 else False print('VOC07 metric? ' + ('Y' if use_07_metric else 'No')) for cls_ind, cls in enumerate(self.classes): filename = self.get_result_file_template().format(cls) rec, prec, ap = voc_eval(filename, annopath, imageset_file, cls, cache_dir, ovthresh=0.5, use_07_metric=use_07_metric) aps += [ap] print('AP for {} = {:.4f}'.format(cls, ap)) print('Mean AP = {:.4f}'.format(np.mean(aps)))