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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. | |
| """TFDS Classification decoders.""" | |
| import tensorflow as tf, tf_keras | |
| from official.vision.dataloaders import decoder | |
| class ClassificationDecorder(decoder.Decoder): | |
| """A tf.Example decoder for tfds classification datasets.""" | |
| def decode(self, serialized_example): | |
| sample_dict = { | |
| 'image/encoded': | |
| tf.io.encode_jpeg(serialized_example['image'], quality=100), | |
| 'image/class/label': | |
| serialized_example['label'], | |
| } | |
| return sample_dict | |
| TFDS_ID_TO_DECODER_MAP = { | |
| 'cifar10': ClassificationDecorder, | |
| 'cifar100': ClassificationDecorder, | |
| 'imagenet2012': ClassificationDecorder, | |
| 'imagenet2012_fewshot/10shot': ClassificationDecorder, | |
| } | |