Pytorch 中 Dataset 类的使用

导入包

import torch
import os
from torch.utils.data import Dataset
from PIL import Image

创建 Dataset 继承类

class MyData(Dataset):
    
    def __init__(self, root_dir, label_dir):
        self.root_dir = root_dir
        self.label_dir = label_dir
        self.path = os.path.join(root_dir, label_dir)
        self.tot_img_name = os.listdir(self.path)
        
        
    def __getitem__(self, idx):
        img_path = os.path.join(self.path, self.tot_img_name[idx])
        img = Image.open(img_path)
        label = self.label_dir
        return img, label
        
    def __len__(self):
        return len(self.tot_img_name)

创建数据集以及数据集的合并

ants_dataset = MyData('../input/beas-ants-demo/train','ants_image')
bees_dataset = MyData('../input/beas-ants-demo/train','bees_image')

train_dataset = ants_dataset + bees_dataset