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Configuration error
Configuration error
| # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. | |
| # | |
| # 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 config_check(cfg, train_dataset=None, val_dataset=None): | |
| """ | |
| To check config。 | |
| Args: | |
| cfg (paddleseg.cvlibs.Config): An object of paddleseg.cvlibs.Config. | |
| train_dataset (paddle.io.Dataset): Used to read and process training datasets. | |
| val_dataset (paddle.io.Dataset, optional): Used to read and process validation datasets. | |
| """ | |
| num_classes_check(cfg, train_dataset, val_dataset) | |
| def num_classes_check(cfg, train_dataset, val_dataset): | |
| """" | |
| Check that the num_classes in model, train_dataset and val_dataset is consistent. | |
| """ | |
| num_classes_set = set() | |
| if train_dataset and hasattr(train_dataset, 'num_classes'): | |
| num_classes_set.add(train_dataset.num_classes) | |
| if val_dataset and hasattr(val_dataset, 'num_classes'): | |
| num_classes_set.add(val_dataset.num_classes) | |
| if cfg.dic.get('model', None) and cfg.dic['model'].get('num_classes', None): | |
| num_classes_set.add(cfg.dic['model'].get('num_classes')) | |
| if (not cfg.train_dataset) and (not cfg.val_dataset): | |
| raise ValueError( | |
| 'One of `train_dataset` or `val_dataset should be given, but there are none.' | |
| ) | |
| if len(num_classes_set) == 0: | |
| raise ValueError( | |
| '`num_classes` is not found. Please set it in model, train_dataset or val_dataset' | |
| ) | |
| elif len(num_classes_set) > 1: | |
| raise ValueError( | |
| '`num_classes` is not consistent: {}. Please set it consistently in model or train_dataset or val_dataset' | |
| .format(num_classes_set)) | |
| else: | |
| num_classes = num_classes_set.pop() | |
| if train_dataset: | |
| train_dataset.num_classes = num_classes | |
| if val_dataset: | |
| val_dataset.num_classes = num_classes | |