old_contents: #!/usr/bin/env python
  
  """
  Copyright 2017-2018 Fizyr (https://fizyr.com)
  
  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.
  """
  
  import argparse
  import os
  import sys
  
  # Allow relative imports when being executed as script.
  if __name__ == "__main__" and __package__ is None:
      sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
      import keras_retinanet.bin  # noqa: F401
      __package__ = "keras_retinanet.bin"
  
  # Change these to absolute imports if you copy this script outside the keras_retinanet package.
  from .. import models
  
  
  def parse_args(args):
      parser = argparse.ArgumentParser(description='Script for converting a training model to an inference model.')
  
      parser.add_argument('model_in', help='The model to convert.')
      parser.add_argument('model_out', help='Path to save the converted model to.')
      parser.add_argument('--backbone', help='The backbone of the model to convert.', default='resnet50')
      parser.add_argument('--no-nms', help='Disables non maximum suppression.', dest='nms', action='store_false')
      parser.add_argument('--no-class-specific-filter', help='Disables class specific filtering.', dest='class_specific_filter', action='store_false')
  
      return parser.parse_args(args)
  
  
  def main(args=None):
      # parse arguments
      if args is None:
          args = sys.argv[1:]
      args = parse_args(args)
  
      # load and convert model
      model = models.load_model(args.model_in, convert=True, backbone_name=args.backbone, nms=args.nms)
  
      # save model
      model.save(args.model_out)
  
  
  if __name__ == '__main__':
      main()
  
new_contents: #!/usr/bin/env python
  
  """
  Copyright 2017-2018 Fizyr (https://fizyr.com)
  
  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.
  """
  
  import argparse
  import os
  import sys
  
  # Allow relative imports when being executed as script.
  if __name__ == "__main__" and __package__ is None:
      sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
      import keras_retinanet.bin  # noqa: F401
      __package__ = "keras_retinanet.bin"
  
  # Change these to absolute imports if you copy this script outside the keras_retinanet package.
  from .. import models
  
  
  def parse_args(args):
      parser = argparse.ArgumentParser(description='Script for converting a training model to an inference model.')
  
      parser.add_argument('model_in', help='The model to convert.')
      parser.add_argument('model_out', help='Path to save the converted model to.')
      parser.add_argument('--backbone', help='The backbone of the model to convert.', default='resnet50')
      parser.add_argument('--no-nms', help='Disables non maximum suppression.', dest='nms', action='store_false')
      parser.add_argument('--no-class-specific-filter', help='Disables class specific filtering.', dest='class_specific_filter', action='store_false')
  
      return parser.parse_args(args)
  
  
  def main(args=None):
      # parse arguments
      if args is None:
          args = sys.argv[1:]
      args = parse_args(args)
  
      # load and convert model
      model = models.load_model(args.model_in, convert=True, backbone_name=args.backbone, nms=args.nms, class_specific_filter=args.class_specific_filter)
  
      # save model
      model.save(args.model_out)
  
  
  if __name__ == '__main__':
      main()
  
subject: fix passing class_specific_filter argument in convert_model