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104 lines
3.2 KiB
104 lines
3.2 KiB
# Copyright (c) 2022 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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""" |
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@File Description: |
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# 根据test影像文件夹生成test.json |
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python ./coco_tools/json_Img2Json.py \ |
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--test_image_path=./test2017 \ |
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--json_train_path=./annotations/instances_val2017.json \ |
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--json_test_path=./test.json |
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""" |
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import os, cv2 |
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import json |
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import argparse |
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from tqdm import tqdm |
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def js_test(test_image_path, js_train_path, js_test_path, image_keyname, |
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cat_keyname): |
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print('Get Test'.center(100, '-')) |
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print() |
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print('json read...\n') |
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data = {} |
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with open(js_train_path, 'r') as load_f: |
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data_train = json.load(load_f) |
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file_list = os.listdir(test_image_path) |
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# sort method |
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# file_list.sort(key=lambda x: int(x.split('.')[0])) |
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# file_list.sort() |
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print('test image read...') |
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with tqdm(file_list) as pbar: |
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images = [] |
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for index, img_name in enumerate(pbar): |
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img_path = os.path.join(test_image_path, img_name) |
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img = cv2.imread(img_path) |
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tmp = {} |
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tmp['id'] = index |
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tmp['width'] = img.shape[1] |
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tmp['height'] = img.shape[0] |
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tmp['file_name'] = img_name |
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images.append(tmp) |
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print('\n total test image:', len(file_list)) |
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data[image_keyname] = images |
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data[cat_keyname] = data_train[cat_keyname] |
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with open(js_test_path, 'w') as f: |
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json.dump(data, f) |
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def get_args(): |
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parser = argparse.ArgumentParser(description='Get Test Json') |
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# parameters |
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parser.add_argument('--test_image_path', type=str, help='test image path') |
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parser.add_argument( |
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'--json_train_path', |
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type=str, |
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help='train json path, provide categories information') |
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parser.add_argument( |
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'--json_test_path', type=str, help='test json path to save') |
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parser.add_argument( |
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'--image_keyname', |
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type=str, |
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default='images', |
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help='image key name in json, default images') |
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parser.add_argument( |
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'--cat_keyname', |
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type=str, |
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default='categories', |
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help='categories key name in json, default categories') |
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parser.add_argument( |
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'-Args_show', |
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'--Args_show', |
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type=bool, |
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default=True, |
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help='Args_show(default: True), if True, show args info') |
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args = parser.parse_args() |
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if args.Args_show: |
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print('Args'.center(100, '-')) |
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for k, v in vars(args).items(): |
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print('%s = %s' % (k, v)) |
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print() |
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return args |
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if __name__ == '__main__': |
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args = get_args() |
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js_test(args.test_image_path, args.json_train_path, args.json_test_path, |
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args.image_keyname, args.cat_keyname)
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