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- # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- from __future__ import absolute_import
- from __future__ import division
- from __future__ import print_function
- import os
- import os.path as osp
- import re
- import random
- __all__ = ['create_list']
- def create_list(devkit_dir, years, output_dir):
- """
- create following list:
- 1. trainval.txt
- 2. test.txt
- """
- trainval_list = []
- test_list = []
- for year in years:
- trainval, test = _walk_voc_dir(devkit_dir, year, output_dir)
- trainval_list.extend(trainval)
- test_list.extend(test)
- random.shuffle(trainval_list)
- with open(osp.join(output_dir, 'trainval.txt'), 'w') as ftrainval:
- for item in trainval_list:
- ftrainval.write(item[0] + ' ' + item[1] + '\n')
- with open(osp.join(output_dir, 'test.txt'), 'w') as fval:
- ct = 0
- for item in test_list:
- ct += 1
- fval.write(item[0] + ' ' + item[1] + '\n')
- def _get_voc_dir(devkit_dir, year, type):
- return osp.join(devkit_dir, 'VOC' + year, type)
- def _walk_voc_dir(devkit_dir, year, output_dir):
- filelist_dir = _get_voc_dir(devkit_dir, year, 'ImageSets/Main')
- annotation_dir = _get_voc_dir(devkit_dir, year, 'Annotations')
- img_dir = _get_voc_dir(devkit_dir, year, 'JPEGImages')
- trainval_list = []
- test_list = []
- added = set()
- for _, _, files in os.walk(filelist_dir):
- for fname in files:
- img_ann_list = []
- if re.match(r'[a-z]+_trainval\.txt', fname):
- img_ann_list = trainval_list
- elif re.match(r'[a-z]+_test\.txt', fname):
- img_ann_list = test_list
- else:
- continue
- fpath = osp.join(filelist_dir, fname)
- for line in open(fpath):
- name_prefix = line.strip().split()[0]
- if name_prefix in added:
- continue
- added.add(name_prefix)
- ann_path = osp.join(
- osp.relpath(annotation_dir, output_dir),
- name_prefix + '.xml')
- img_path = osp.join(
- osp.relpath(img_dir, output_dir), name_prefix + '.jpg')
- img_ann_list.append((img_path, ann_path))
- return trainval_list, test_list
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