# 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.utils.shape_utils.""" import tensorflow as tf from object_detection.utils import shape_utils class UtilTest(tf.test.TestCase): def test_pad_tensor_using_integer_input(self): t1 = tf.constant([1], dtype=tf.int32) pad_t1 = shape_utils.pad_tensor(t1, 2) t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32) pad_t2 = shape_utils.pad_tensor(t2, 2) self.assertEqual(2, pad_t1.get_shape()[0]) self.assertEqual(2, pad_t2.get_shape()[0]) with self.test_session() as sess: pad_t1_result, pad_t2_result = sess.run([pad_t1, pad_t2]) self.assertAllEqual([1, 0], pad_t1_result) self.assertAllClose([[0.1, 0.2], [0, 0]], pad_t2_result) def test_pad_tensor_using_tensor_input(self): t1 = tf.constant([1], dtype=tf.int32) pad_t1 = shape_utils.pad_tensor(t1, tf.constant(2)) t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32) pad_t2 = shape_utils.pad_tensor(t2, tf.constant(2)) with self.test_session() as sess: pad_t1_result, pad_t2_result = sess.run([pad_t1, pad_t2]) self.assertAllEqual([1, 0], pad_t1_result) self.assertAllClose([[0.1, 0.2], [0, 0]], pad_t2_result) def test_clip_tensor_using_integer_input(self): t1 = tf.constant([1, 2, 3], dtype=tf.int32) clip_t1 = shape_utils.clip_tensor(t1, 2) t2 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32) clip_t2 = shape_utils.clip_tensor(t2, 2) self.assertEqual(2, clip_t1.get_shape()[0]) self.assertEqual(2, clip_t2.get_shape()[0]) with self.test_session() as sess: clip_t1_result, clip_t2_result = sess.run([clip_t1, clip_t2]) self.assertAllEqual([1, 2], clip_t1_result) self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], clip_t2_result) def test_clip_tensor_using_tensor_input(self): t1 = tf.constant([1, 2, 3], dtype=tf.int32) clip_t1 = shape_utils.clip_tensor(t1, tf.constant(2)) t2 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32) clip_t2 = shape_utils.clip_tensor(t2, tf.constant(2)) with self.test_session() as sess: clip_t1_result, clip_t2_result = sess.run([clip_t1, clip_t2]) self.assertAllEqual([1, 2], clip_t1_result) self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], clip_t2_result) def test_pad_or_clip_tensor_using_integer_input(self): t1 = tf.constant([1], dtype=tf.int32) tt1 = shape_utils.pad_or_clip_tensor(t1, 2) t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32) tt2 = shape_utils.pad_or_clip_tensor(t2, 2) t3 = tf.constant([1, 2, 3], dtype=tf.int32) tt3 = shape_utils.clip_tensor(t3, 2) t4 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32) tt4 = shape_utils.clip_tensor(t4, 2) self.assertEqual(2, tt1.get_shape()[0]) self.assertEqual(2, tt2.get_shape()[0]) self.assertEqual(2, tt3.get_shape()[0]) self.assertEqual(2, tt4.get_shape()[0]) with self.test_session() as sess: tt1_result, tt2_result, tt3_result, tt4_result = sess.run( [tt1, tt2, tt3, tt4]) self.assertAllEqual([1, 0], tt1_result) self.assertAllClose([[0.1, 0.2], [0, 0]], tt2_result) self.assertAllEqual([1, 2], tt3_result) self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], tt4_result) def test_pad_or_clip_tensor_using_tensor_input(self): t1 = tf.constant([1], dtype=tf.int32) tt1 = shape_utils.pad_or_clip_tensor(t1, tf.constant(2)) t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32) tt2 = shape_utils.pad_or_clip_tensor(t2, tf.constant(2)) t3 = tf.constant([1, 2, 3], dtype=tf.int32) tt3 = shape_utils.clip_tensor(t3, tf.constant(2)) t4 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32) tt4 = shape_utils.clip_tensor(t4, tf.constant(2)) with self.test_session() as sess: tt1_result, tt2_result, tt3_result, tt4_result = sess.run( [tt1, tt2, tt3, tt4]) self.assertAllEqual([1, 0], tt1_result) self.assertAllClose([[0.1, 0.2], [0, 0]], tt2_result) self.assertAllEqual([1, 2], tt3_result) self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], tt4_result) if __name__ == '__main__': tf.test.main()