Spaces:
Runtime error
Runtime error
| # Copyright 2023 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 target_gather.py.""" | |
| import tensorflow as tf, tf_keras | |
| from official.vision.ops import target_gather | |
| class TargetGatherTest(tf.test.TestCase): | |
| def test_target_gather_batched(self): | |
| gt_boxes = tf.constant( | |
| [[ | |
| [0, 0, 5, 5], | |
| [0, 5, 5, 10], | |
| [5, 0, 10, 5], | |
| [5, 5, 10, 10], | |
| ]], | |
| dtype=tf.float32) | |
| gt_classes = tf.constant([[[2], [10], [3], [-1]]], dtype=tf.int32) | |
| labeler = target_gather.TargetGather() | |
| match_indices = tf.constant([[0, 2]], dtype=tf.int32) | |
| match_indicators = tf.constant([[-2, 1]]) | |
| mask = tf.less_equal(match_indicators, 0) | |
| cls_mask = tf.expand_dims(mask, -1) | |
| matched_gt_classes = labeler(gt_classes, match_indices, cls_mask) | |
| box_mask = tf.tile(cls_mask, [1, 1, 4]) | |
| matched_gt_boxes = labeler(gt_boxes, match_indices, box_mask) | |
| self.assertAllEqual( | |
| matched_gt_classes.numpy(), [[[0], [3]]]) | |
| self.assertAllClose( | |
| matched_gt_boxes.numpy(), [[[0, 0, 0, 0], [5, 0, 10, 5]]]) | |
| def test_target_gather_unbatched(self): | |
| gt_boxes = tf.constant( | |
| [ | |
| [0, 0, 5, 5], | |
| [0, 5, 5, 10], | |
| [5, 0, 10, 5], | |
| [5, 5, 10, 10], | |
| ], | |
| dtype=tf.float32) | |
| gt_classes = tf.constant([[2], [10], [3], [-1]], dtype=tf.int32) | |
| labeler = target_gather.TargetGather() | |
| match_indices = tf.constant([0, 2], dtype=tf.int32) | |
| match_indicators = tf.constant([-2, 1]) | |
| mask = tf.less_equal(match_indicators, 0) | |
| cls_mask = tf.expand_dims(mask, -1) | |
| matched_gt_classes = labeler(gt_classes, match_indices, cls_mask) | |
| box_mask = tf.tile(cls_mask, [1, 4]) | |
| matched_gt_boxes = labeler(gt_boxes, match_indices, box_mask) | |
| self.assertAllEqual( | |
| matched_gt_classes.numpy(), [[0], [3]]) | |
| self.assertAllClose( | |
| matched_gt_boxes.numpy(), [[0, 0, 0, 0], [5, 0, 10, 5]]) | |
| if __name__ == '__main__': | |
| tf.test.main() | |