File size: 1,865 Bytes
19c1f58 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
# Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
#
# 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 os
"""
PLEASE READ paths.md FOR INFORMATION TO HOW TO SET THIS UP
"""
nnUNet_raw = os.environ.get('nnUNet_raw')
nnUNet_preprocessed = os.environ.get('nnUNet_preprocessed')
nnUNet_results = os.environ.get('nnUNet_results')
if nnUNet_raw is None:
print("nnUNet_raw is not defined and nnU-Net can only be used on data for which preprocessed files "
"are already present on your system. nnU-Net cannot be used for experiment planning and preprocessing like "
"this. If this is not intended, please read documentation/setting_up_paths.md for information on how to set "
"this up properly.")
if nnUNet_preprocessed is None:
print("nnUNet_preprocessed is not defined and nnU-Net can not be used for preprocessing "
"or training. If this is not intended, please read documentation/setting_up_paths.md for information on how "
"to set this up.")
if nnUNet_results is None:
print("nnUNet_results is not defined and nnU-Net cannot be used for training or "
"inference. If this is not intended behavior, please read documentation/setting_up_paths.md for information "
"on how to set this up.")
|