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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, | |
} | |