Paddle/demo/image_classification/preprocess.py

# Copyright (c) 2016 Baidu, Inc. 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.

from paddle.utils.preprocess_img import ImageClassificationDatasetCreater
from optparse import OptionParser


def option_parser():
    parser = OptionParser(usage="usage: python preprcoess.py "\
                          "-i data_dir [options]")
    parser.add_option("-i", "--input", action="store",
                      dest="input", help="Input data directory.")
    parser.add_option("-s", "--size", action="store",
                      dest="size", help="Processed image size.")
    parser.add_option("-c", "--color", action="store",
                      dest="color", help="whether to use color images.")
    return parser.parse_args()

if __name__ == '__main__':
     options, args = option_parser()
     data_dir = options.input
     processed_image_size = int(options.size)
     color = options.color == "1"
     data_creator = ImageClassificationDatasetCreater(data_dir,
                                                      processed_image_size,
                                                      color)
     data_creator.num_per_batch = 1000
     data_creator.overwrite = True
     data_creator.create_batches()