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# Copyright (c) 2022 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 copy import deepcopy
from paddle.io import Dataset
from paddlers.utils import get_num_workers
class BaseDataset(Dataset):
def __init__(self, data_dir, label_list, transforms, num_workers, shuffle):
super(BaseDataset, self).__init__()
self.data_dir = data_dir
self.label_list = label_list
self.transforms = deepcopy(transforms)
self.num_workers = get_num_workers(num_workers)
self.shuffle = shuffle
def __getitem__(self, idx):
sample = deepcopy(self.file_list[idx])
outputs = self.transforms(sample)
return outputs