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81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
2 years ago
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# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os.path as osp
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import copy
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import numpy as np
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from abc import ABC, abstractmethod
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import paddle
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from paddle.io import Dataset
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class BaseDataset(Dataset, ABC):
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"""Base class for datasets
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All datasets should subclass it.
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All subclass should overwrite:
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- Method: `load_file`, load info from index file.
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- Method: `prepare_train`, providing train data.
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- Method: `prepare_test`, providing test data.
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Args:
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file_path (str): index file path.
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pipeline (Sequence XXX)
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data_prefix (str): directory path of the data. Default: None.
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test_mode (bool): whether to build test dataset. Default: False.
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"""
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def __init__(self, file_path, pipeline, data_prefix=None, test_mode=False):
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super().__init__()
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self.file_path = file_path
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self.data_prefix = osp.realpath(data_prefix) if \
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data_prefix is not None and osp.isdir(data_prefix) else data_prefix
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self.test_mode = test_mode
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self.pipeline = pipeline
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self.info = self.load_file()
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@abstractmethod
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def load_file(self):
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"""load the video information from the index file path."""
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pass
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def prepare_train(self, idx):
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"""TRAIN & VALID. Prepare the data for training/valid given the index."""
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#Note: For now, paddle.io.DataLoader cannot support dict type retval, so convert to list here
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results = copy.deepcopy(self.info[idx])
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results = self.pipeline(results)
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#unsqueeze label to list
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return results['imgs'], np.array([results['labels']])
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def prepare_test(self, idx):
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"""TEST: Prepare the data for test given the index."""
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#Note: For now, paddle.io.DataLoader cannot support dict type retval, so convert to list here
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results = copy.deepcopy(self.info[idx])
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results = self.pipeline(results)
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#unsqueeze label to list
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return results['imgs'], np.array([results['labels']])
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def __len__(self):
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"""get the size of the dataset."""
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return len(self.info)
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def __getitem__(self, idx):
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""" Get the sample for either training or testing given index"""
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if self.test_mode:
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return self.prepare_test(idx)
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else:
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return self.prepare_train(idx)
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