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67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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from paddle.io import Dataset
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from paddle.vision import transforms
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import os
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from PIL import Image
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import random
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import paddle
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import numpy as np
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from dataloader.kv_helper import read_img_from_bin
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class CommonDataset(Dataset):
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def __init__(self, root_dir, label_file):
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super(CommonDataset, self).__init__()
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self.root_dir = root_dir
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self.label_file = label_file
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self.full_lines = self.get_file_list(label_file)
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self.delimiter = "\t"
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self.transform = transforms.Compose([
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transforms.RandomHorizontalFlip(),
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transforms.ToTensor(),
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transforms.Normalize(
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mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]),
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])
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self.num_samples = len(self.full_lines)
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def get_file_list(self, label_file):
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with open(label_file, "r") as fin:
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full_lines = fin.readlines()
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print("finish reading file, image num: {}".format(len(full_lines)))
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return full_lines
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def __getitem__(self, idx):
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try:
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line = self.full_lines[idx]
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img_path, label = line.split(self.delimiter)
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label = int(label)
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label = paddle.to_tensor(label, dtype='int64')
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img_path = os.path.join(self.root_dir, img_path)
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img = read_img_from_bin(img_path)[:, :, ::-1]
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img = self.transform(img)
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return img, label
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except Exception as e:
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print("data read faild: {}, exception info: {}".format(line, e))
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return self.__getitem__(random.randint(0, len(self)))
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def __len__(self):
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return self.num_samples
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