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| # 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. | |
| """Utility functions for dataloader.""" | |
| import tensorflow as tf, tf_keras | |
| from official.legacy.detection.utils import input_utils | |
| def process_source_id(source_id): | |
| """Processes source_id to the right format.""" | |
| if source_id.dtype == tf.string: | |
| source_id = tf.cast(tf.strings.to_number(source_id), tf.int64) | |
| with tf.control_dependencies([source_id]): | |
| source_id = tf.cond( | |
| pred=tf.equal(tf.size(input=source_id), 0), | |
| true_fn=lambda: tf.cast(tf.constant(-1), tf.int64), | |
| false_fn=lambda: tf.identity(source_id)) | |
| return source_id | |
| def pad_groundtruths_to_fixed_size(gt, n): | |
| """Pads the first dimension of groundtruths labels to the fixed size.""" | |
| gt['boxes'] = input_utils.pad_to_fixed_size(gt['boxes'], n, -1) | |
| gt['is_crowds'] = input_utils.pad_to_fixed_size(gt['is_crowds'], n, 0) | |
| gt['areas'] = input_utils.pad_to_fixed_size(gt['areas'], n, -1) | |
| gt['classes'] = input_utils.pad_to_fixed_size(gt['classes'], n, -1) | |
| return gt | |