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