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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 object_detection.np_box_ops.""" | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import numpy as np | |
| import tensorflow.compat.v1 as tf | |
| from object_detection.utils import np_box_ops | |
| class BoxOpsTests(tf.test.TestCase): | |
| def setUp(self): | |
| boxes1 = np.array([[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]], | |
| dtype=float) | |
| boxes2 = np.array([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0], | |
| [0.0, 0.0, 20.0, 20.0]], | |
| dtype=float) | |
| self.boxes1 = boxes1 | |
| self.boxes2 = boxes2 | |
| def testArea(self): | |
| areas = np_box_ops.area(self.boxes1) | |
| expected_areas = np.array([6.0, 5.0], dtype=float) | |
| self.assertAllClose(expected_areas, areas) | |
| def testIntersection(self): | |
| intersection = np_box_ops.intersection(self.boxes1, self.boxes2) | |
| expected_intersection = np.array([[2.0, 0.0, 6.0], [1.0, 0.0, 5.0]], | |
| dtype=float) | |
| self.assertAllClose(intersection, expected_intersection) | |
| def testIOU(self): | |
| iou = np_box_ops.iou(self.boxes1, self.boxes2) | |
| expected_iou = np.array([[2.0 / 16.0, 0.0, 6.0 / 400.0], | |
| [1.0 / 16.0, 0.0, 5.0 / 400.0]], | |
| dtype=float) | |
| self.assertAllClose(iou, expected_iou) | |
| def testIOA(self): | |
| boxes1 = np.array([[0.25, 0.25, 0.75, 0.75], | |
| [0.0, 0.0, 0.5, 0.75]], | |
| dtype=np.float32) | |
| boxes2 = np.array([[0.5, 0.25, 1.0, 1.0], | |
| [0.0, 0.0, 1.0, 1.0]], | |
| dtype=np.float32) | |
| ioa21 = np_box_ops.ioa(boxes2, boxes1) | |
| expected_ioa21 = np.array([[0.5, 0.0], | |
| [1.0, 1.0]], | |
| dtype=np.float32) | |
| self.assertAllClose(ioa21, expected_ioa21) | |
| if __name__ == '__main__': | |
| tf.test.main() | |