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