def parse_detect(detannos):
xmls_path = loop(detannos, ['.xml'])
print('########## Reading {0} annotation files of DT.##########'.format(len(xmls_path)))
infos = []
for xml_path in xmls_path:
info = parse_rec(xml_path)
info = [item for cls_key in info for item in info[cls_key]]
basename = os.path.basename(xml_path)
infos.append([os.path.splitext(basename)[0],
[[item['confidence']]+[item['name']]+item['bbox'] for item in info]])
return [[item[0], item[1]] for item in infos]
def load_detect_lines(detannos, conf):
txts_path = loop(detannos, ['.txt'])
print('########## Reading {0} annotation files of DT.##########'.format(len(txts_path)))
infos = []
for txt_path in txts_path:
with open(txt_path, 'r') as f:
lines = f.readlines()
true_class = os.path.basename(txt_path).split('.')[0].split('_')[-1]
# 图片名[无后缀] 置信度 x1 y1 x2 y2
# target: image_name, conf, det_class, [xmin, ymin, xmax, ymax]
for line in lines:
line = line.strip().split(' ')
if float(line[1]) < conf:
continue
infos.append(line[0:2]+[true_class]+line[2:])
return infos
def get_xmls_basename(xml_path):
return [
os.path.splitext(os.path.basename(item))[0]
for item in loop(xml_path, ['.xml'])
]
def test_pars_annotations(self):
xml_poaths = dir_loop.loop(self.test_data_dir, ['.xml'])
self.parse_annotations(xml_poaths[0])
