#    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.


from nnunet.training.network_training.nnUNetTrainerV2 import nnUNetTrainerV2


class nnUNetTrainerV2_DA2(nnUNetTrainerV2):
    def setup_DA_params(self):
        super().setup_DA_params()

        self.data_aug_params["independent_scale_factor_for_each_axis"] = True

        if self.threeD:
            self.data_aug_params["rotation_p_per_axis"] = 0.5
        else:
            self.data_aug_params["rotation_p_per_axis"] = 1

        self.data_aug_params["do_additive_brightness"] = True