forked from PulseFocusPlatform/PulseFocusPlatform
87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
# 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(year_dirs, output_dir):
|
|
"""
|
|
create following list:
|
|
1. trainval.txt
|
|
2. test.txt
|
|
"""
|
|
trainval_list = []
|
|
test_list = []
|
|
for year_dir in year_dirs:
|
|
trainval, test = _walk_voc_dir(year_dir, 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 _walk_voc_dir(year_dir, output_dir):
|
|
filelist_dir = osp.join(year_dir, 'ImageSets/Main')
|
|
annotation_dir = osp.join(year_dir, 'Annotations')
|
|
img_dir = osp.join(year_dir, 'JPEGImages')
|
|
trainval_list = []
|
|
test_list = []
|
|
added = set()
|
|
|
|
img_dict = {}
|
|
for img_file in os.listdir(img_dir):
|
|
img_dict[img_file.split('.')[0]] = img_file
|
|
|
|
for _, _, files in os.walk(filelist_dir):
|
|
for fname in files:
|
|
img_ann_list = []
|
|
if re.match('trainval\.txt', fname):
|
|
img_ann_list = trainval_list
|
|
elif re.match('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), img_dict[name_prefix])
|
|
img_ann_list.append((img_path, ann_path))
|
|
|
|
return trainval_list, test_list
|