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61 lines
1.9 KiB
61 lines
1.9 KiB
5 years ago
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Convert a dataset to TFRecords format, which can be easily integrated into
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a TensorFlow pipeline.
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Usage:
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```shell
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python tf_convert_data.py \
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--dataset_name=pascalvoc \
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--dataset_dir=/tmp/pascalvoc \
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--output_name=pascalvoc \
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--output_dir=/tmp/
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```
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"""
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import tensorflow as tf
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from datasets import pascalvoc_to_tfrecords
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FLAGS = tf.app.flags.FLAGS
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tf.app.flags.DEFINE_string(
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'dataset_name', 'pascalvoc',
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'The name of the dataset to convert.')
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tf.app.flags.DEFINE_string(
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'dataset_dir', None,
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'Directory where the original dataset is stored.')
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tf.app.flags.DEFINE_string(
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'output_name', 'pascalvoc',
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'Basename used for TFRecords output files.')
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tf.app.flags.DEFINE_string(
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'output_dir', './',
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'Output directory where to store TFRecords files.')
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def main(_):
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if not FLAGS.dataset_dir:
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raise ValueError('You must supply the dataset directory with --dataset_dir')
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print('Dataset directory:', FLAGS.dataset_dir)
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print('Output directory:', FLAGS.output_dir)
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if FLAGS.dataset_name == 'pascalvoc':
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pascalvoc_to_tfrecords.run(FLAGS.dataset_dir, FLAGS.output_dir, FLAGS.output_name)
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else:
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raise ValueError('Dataset [%s] was not recognized.' % FLAGS.dataset_name)
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if __name__ == '__main__':
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tf.app.run()
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