55 lines
1.7 KiB
55 lines
1.7 KiB
# Copyright (c) 2016 PaddlePaddle 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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from paddle.utils.preprocess_img import ImageClassificationDatasetCreater
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from optparse import OptionParser
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def option_parser():
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parser = OptionParser(usage="usage: python preprcoess.py "\
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"-i data_dir [options]")
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parser.add_option(
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"-i",
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"--input",
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action="store",
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dest="input",
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help="Input data directory.")
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parser.add_option(
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"-s",
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"--size",
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action="store",
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dest="size",
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help="Processed image size.")
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parser.add_option(
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"-c",
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"--color",
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action="store",
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dest="color",
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help="whether to use color images.")
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return parser.parse_args()
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if __name__ == '__main__':
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options, args = option_parser()
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data_dir = options.input
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processed_image_size = int(options.size)
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color = options.color == "1"
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data_creator = ImageClassificationDatasetCreater(
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data_dir, processed_image_size, color)
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data_creator.train_list_name = "train.txt"
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data_creator.test_list_name = "test.txt"
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data_creator.num_per_batch = 1000
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data_creator.overwrite = True
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data_creator.create_batches()
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