# Copyright 2022 The TensorFlow 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. """Tests for coco_utils.""" import os import tensorflow as tf from official.vision.dataloaders import tfexample_utils from official.vision.evaluation import coco_utils class CocoUtilsTest(tf.test.TestCase): def test_scan_and_generator_annotation_file(self): num_samples = 10 example = tfexample_utils.create_detection_test_example( image_height=512, image_width=512, image_channel=3, num_instances=10) tf_examples = [example] * num_samples data_file = os.path.join(self.create_tempdir(), 'test.tfrecord') tfexample_utils.dump_to_tfrecord( record_file=data_file, tf_examples=tf_examples) annotation_file = os.path.join(self.create_tempdir(), 'annotation.json') coco_utils.scan_and_generator_annotation_file( file_pattern=data_file, file_type='tfrecord', num_samples=num_samples, include_mask=True, annotation_file=annotation_file) self.assertTrue( tf.io.gfile.exists(annotation_file), msg='Annotation file {annotation_file} does not exists.') if __name__ == '__main__': tf.test.main()