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# 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 matcher_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.builders import matcher_builder
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from object_detection.matchers import argmax_matcher
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from object_detection.matchers import bipartite_matcher
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from object_detection.protos import matcher_pb2
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class MatcherBuilderTest(tf.test.TestCase):
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def test_build_arg_max_matcher_with_defaults(self):
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matcher_text_proto = """
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argmax_matcher {
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}
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"""
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matcher_proto = matcher_pb2.Matcher()
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text_format.Merge(matcher_text_proto, matcher_proto)
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matcher_object = matcher_builder.build(matcher_proto)
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self.assertTrue(isinstance(matcher_object, argmax_matcher.ArgMaxMatcher))
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self.assertAlmostEqual(matcher_object._matched_threshold, 0.5)
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self.assertAlmostEqual(matcher_object._unmatched_threshold, 0.5)
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self.assertTrue(matcher_object._negatives_lower_than_unmatched)
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self.assertFalse(matcher_object._force_match_for_each_row)
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def test_build_arg_max_matcher_without_thresholds(self):
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matcher_text_proto = """
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argmax_matcher {
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ignore_thresholds: true
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}
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"""
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matcher_proto = matcher_pb2.Matcher()
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text_format.Merge(matcher_text_proto, matcher_proto)
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matcher_object = matcher_builder.build(matcher_proto)
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self.assertTrue(isinstance(matcher_object, argmax_matcher.ArgMaxMatcher))
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self.assertEqual(matcher_object._matched_threshold, None)
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self.assertEqual(matcher_object._unmatched_threshold, None)
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self.assertTrue(matcher_object._negatives_lower_than_unmatched)
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self.assertFalse(matcher_object._force_match_for_each_row)
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def test_build_arg_max_matcher_with_non_default_parameters(self):
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matcher_text_proto = """
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argmax_matcher {
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matched_threshold: 0.7
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unmatched_threshold: 0.3
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negatives_lower_than_unmatched: false
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force_match_for_each_row: true
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use_matmul_gather: true
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}
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"""
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matcher_proto = matcher_pb2.Matcher()
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text_format.Merge(matcher_text_proto, matcher_proto)
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matcher_object = matcher_builder.build(matcher_proto)
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self.assertTrue(isinstance(matcher_object, argmax_matcher.ArgMaxMatcher))
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self.assertAlmostEqual(matcher_object._matched_threshold, 0.7)
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self.assertAlmostEqual(matcher_object._unmatched_threshold, 0.3)
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self.assertFalse(matcher_object._negatives_lower_than_unmatched)
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self.assertTrue(matcher_object._force_match_for_each_row)
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self.assertTrue(matcher_object._use_matmul_gather)
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def test_build_bipartite_matcher(self):
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matcher_text_proto = """
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bipartite_matcher {
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}
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"""
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matcher_proto = matcher_pb2.Matcher()
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text_format.Merge(matcher_text_proto, matcher_proto)
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matcher_object = matcher_builder.build(matcher_proto)
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self.assertTrue(
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isinstance(matcher_object, bipartite_matcher.GreedyBipartiteMatcher))
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def test_raise_error_on_empty_matcher(self):
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matcher_text_proto = """
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"""
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matcher_proto = matcher_pb2.Matcher()
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text_format.Merge(matcher_text_proto, matcher_proto)
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with self.assertRaises(ValueError):
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matcher_builder.build(matcher_proto)
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if __name__ == '__main__':
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tf.test.main()
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