text: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  #
  # Copyright 2017 Division of Medical Image Computing, German Cancer Research Center (DKFZ)
  #
  # 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 matplotlib
  matplotlib.use('Agg')
  
  from configs.Config_unet import get_config
  from experiments.UNetExperiment import UNetExperiment
  
  if __name__ == "__main__":
      c = get_config()
  
      exp = UNetExperiment(config=c, name=c.name, n_epochs=c.n_epochs,
                           seed=42, append_rnd_to_name=c.append_rnd_string, globs=globals(),
                           # visdomlogger_kwargs={"auto_start": c.start_visdom},
                           loggers={
                               "visdom": ("visdom", {"auto_start": c.start_visdom}),
                               # "tb": ("tensorboard"),
                               # "slack": ("slack", {"token": "XXXXXXXX",
                               #                     "user_email": "x"})
                           }
                           )
  
      exp.run()
      exp.run_test(setup=False)
  