# 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 object_detection.np_box_ops."""
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import numpy as np
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import tensorflow as tf
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from object_detection.utils import np_box_ops
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class BoxOpsTests(tf.test.TestCase):
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def setUp(self):
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boxes1 = np.array([[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]],
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dtype=float)
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boxes2 = np.array([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0],
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[0.0, 0.0, 20.0, 20.0]],
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dtype=float)
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self.boxes1 = boxes1
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self.boxes2 = boxes2
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def testArea(self):
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areas = np_box_ops.area(self.boxes1)
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expected_areas = np.array([6.0, 5.0], dtype=float)
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self.assertAllClose(expected_areas, areas)
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def testIntersection(self):
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intersection = np_box_ops.intersection(self.boxes1, self.boxes2)
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expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]],
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dtype=float)
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self.assertAllClose(intersection, expected_intersection)
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def testIOU(self):
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iou = np_box_ops.iou(self.boxes1, self.boxes2)
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expected_iou = np.array([[2.0 / 16.0, 0.0, 6.0 / 400.0],
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[1.0 / 16.0, 0.0, 5.0 / 400.0]],
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dtype=float)
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self.assertAllClose(iou, expected_iou)
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def testIOA(self):
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boxes1 = np.array([[0.25, 0.25, 0.75, 0.75],
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[0.0, 0.0, 0.5, 0.75]],
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dtype=np.float32)
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boxes2 = np.array([[0.5, 0.25, 1.0, 1.0],
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[0.0, 0.0, 1.0, 1.0]],
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dtype=np.float32)
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ioa21 = np_box_ops.ioa(boxes2, boxes1)
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expected_ioa21 = np.array([[0.5, 0.0],
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[1.0, 1.0]],
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dtype=np.float32)
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self.assertAllClose(ioa21, expected_ioa21)
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if __name__ == '__main__':
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tf.test.main()
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