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| # Copyright 2017 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 box_coder_builder.""" | |
| import tensorflow.compat.v1 as tf | |
| from google.protobuf import text_format | |
| from object_detection.box_coders import faster_rcnn_box_coder | |
| from object_detection.box_coders import keypoint_box_coder | |
| from object_detection.box_coders import mean_stddev_box_coder | |
| from object_detection.box_coders import square_box_coder | |
| from object_detection.builders import box_coder_builder | |
| from object_detection.protos import box_coder_pb2 | |
| class BoxCoderBuilderTest(tf.test.TestCase): | |
| def test_build_faster_rcnn_box_coder_with_defaults(self): | |
| box_coder_text_proto = """ | |
| faster_rcnn_box_coder { | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertIsInstance(box_coder_object, | |
| faster_rcnn_box_coder.FasterRcnnBoxCoder) | |
| self.assertEqual(box_coder_object._scale_factors, [10.0, 10.0, 5.0, 5.0]) | |
| def test_build_faster_rcnn_box_coder_with_non_default_parameters(self): | |
| box_coder_text_proto = """ | |
| faster_rcnn_box_coder { | |
| y_scale: 6.0 | |
| x_scale: 3.0 | |
| height_scale: 7.0 | |
| width_scale: 8.0 | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertIsInstance(box_coder_object, | |
| faster_rcnn_box_coder.FasterRcnnBoxCoder) | |
| self.assertEqual(box_coder_object._scale_factors, [6.0, 3.0, 7.0, 8.0]) | |
| def test_build_keypoint_box_coder_with_defaults(self): | |
| box_coder_text_proto = """ | |
| keypoint_box_coder { | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertIsInstance(box_coder_object, keypoint_box_coder.KeypointBoxCoder) | |
| self.assertEqual(box_coder_object._scale_factors, [10.0, 10.0, 5.0, 5.0]) | |
| def test_build_keypoint_box_coder_with_non_default_parameters(self): | |
| box_coder_text_proto = """ | |
| keypoint_box_coder { | |
| num_keypoints: 6 | |
| y_scale: 6.0 | |
| x_scale: 3.0 | |
| height_scale: 7.0 | |
| width_scale: 8.0 | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertIsInstance(box_coder_object, keypoint_box_coder.KeypointBoxCoder) | |
| self.assertEqual(box_coder_object._num_keypoints, 6) | |
| self.assertEqual(box_coder_object._scale_factors, [6.0, 3.0, 7.0, 8.0]) | |
| def test_build_mean_stddev_box_coder(self): | |
| box_coder_text_proto = """ | |
| mean_stddev_box_coder { | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertTrue( | |
| isinstance(box_coder_object, | |
| mean_stddev_box_coder.MeanStddevBoxCoder)) | |
| def test_build_square_box_coder_with_defaults(self): | |
| box_coder_text_proto = """ | |
| square_box_coder { | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertTrue( | |
| isinstance(box_coder_object, square_box_coder.SquareBoxCoder)) | |
| self.assertEqual(box_coder_object._scale_factors, [10.0, 10.0, 5.0]) | |
| def test_build_square_box_coder_with_non_default_parameters(self): | |
| box_coder_text_proto = """ | |
| square_box_coder { | |
| y_scale: 6.0 | |
| x_scale: 3.0 | |
| length_scale: 7.0 | |
| } | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| box_coder_object = box_coder_builder.build(box_coder_proto) | |
| self.assertTrue( | |
| isinstance(box_coder_object, square_box_coder.SquareBoxCoder)) | |
| self.assertEqual(box_coder_object._scale_factors, [6.0, 3.0, 7.0]) | |
| def test_raise_error_on_empty_box_coder(self): | |
| box_coder_text_proto = """ | |
| """ | |
| box_coder_proto = box_coder_pb2.BoxCoder() | |
| text_format.Merge(box_coder_text_proto, box_coder_proto) | |
| with self.assertRaises(ValueError): | |
| box_coder_builder.build(box_coder_proto) | |
| if __name__ == '__main__': | |
| tf.test.main() | |