| # 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 numpy as np | |
| def to_one_hot(seg, all_seg_labels=None): | |
| if all_seg_labels is None: | |
| all_seg_labels = np.unique(seg) | |
| result = np.zeros((len(all_seg_labels), *seg.shape), dtype=seg.dtype) | |
| for i, l in enumerate(all_seg_labels): | |
| result[i][seg == l] = 1 | |
| return result | |