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60 lines
1.9 KiB
60 lines
1.9 KiB
# 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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