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- #!/usr/bin/env python
- # coding: utf-8
- # 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.
- from .dataset_split.coco_split import split_coco_dataset
- from .dataset_split.voc_split import split_voc_dataset
- from .dataset_split.imagenet_split import split_imagenet_dataset
- from .dataset_split.seg_split import split_seg_dataset
- def dataset_split(dataset_dir, dataset_form, val_value, test_value, save_dir):
- print(dataset_dir, dataset_form, val_value, test_value, save_dir)
- if dataset_form == "coco":
- train_num, val_num, test_num = split_coco_dataset(
- dataset_dir, val_value, test_value, save_dir)
- elif dataset_form == "voc":
- train_num, val_num, test_num = split_voc_dataset(
- dataset_dir, val_value, test_value, save_dir)
- elif dataset_form == "seg":
- train_num, val_num, test_num = split_seg_dataset(
- dataset_dir, val_value, test_value, save_dir)
- elif dataset_form == "imagenet":
- train_num, val_num, test_num = split_imagenet_dataset(
- dataset_dir, val_value, test_value, save_dir)
- print("Dataset Split Done.")
- print("Train samples: {}".format(train_num))
- print("Eval samples: {}".format(val_num))
- print("Test samples: {}".format(test_num))
- print("Split file saved in {}".format(save_dir))
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