# Copyright (c) 2020 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. import os from unittest import TestCase, main os.environ['CUDA_VISIBLE_DEVICES'] = '0' import cv2 import paddlehub as hub class ChineseOCRDBRCNNTestCase(TestCase): def setUp(self): self.module = hub.Module(name='chinese_ocr_db_rcnn') self.test_images = [ "../image_dataset/text_recognition/11.jpg", "../image_dataset/text_recognition/test_image.jpg" ] def test_detect_text(self): results_1 = self.module.recognize_text( paths=self.test_images, use_gpu=True) results_2 = self.module.recognize_text( paths=self.test_images, use_gpu=False) test_images = [cv2.imread(img) for img in self.test_images] results_3 = self.module.recognize_text( images=test_images, use_gpu=False) for i, res in enumerate(results_1): self.assertEqual(res['save_path'], '') for j, item in enumerate(res['data']): self.assertEqual(item['confidence'], results_2[i]['data'][j]['confidence']) self.assertEqual(item['confidence'], results_3[i]['data'][j]['confidence']) self.assertEqual(item['text'], results_2[i]['data'][j]['text']) self.assertEqual(item['text'], results_3[i]['data'][j]['text']) self.assertEqual( (item['text_box_position'].all() == results_2[i]['data'][j] ['text_box_position'].all()), True) self.assertEqual( (item['text_box_position'].all() == results_3[i]['data'][j] ['text_box_position'].all()), True) if __name__ == '__main__': main()