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- # 目标检测中,将pascal格式的数据标签Annotations按照train.txt、val.txt分成对应的文件夹
- # 用在retinanet中的训练集和验证集
- import os
- import shutil
-
- def split_file(src_file_path, dst_file, dst_file_path):
- file = open(dst_file, 'r').readlines()
- for line in file:
- line = line.strip('\n')
- src_file_name = src_file_path + '{}.xml'.format(line)
-
- if not os.path.isfile(src_file_name):
- print("%s not exist !!!"%(src_file_name))
- else:
- dst_file_name = dst_file_path + '{}.xml'.format(line)
- shutil.copyfile(src_file_name,dst_file_name)
- print("copy %s -->> %s"%(src_file_name, dst_file_name))
-
-
- if __name__ == '__main__':
- src_path = '/data/Annotations/'
- train_path = '/data/train_set/'
- val_path = '/data/val_set/'
- train_file = '/data/ImageSets/Main/train.txt'
- val_file = '/data/ImageSets/Main/val.txt'
- split_file(src_path, train_file, train_path)
- split_file(src_path, val_file, val_path)
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