PyTorch1加载数据初认识+Dataset
1 from torch.utils.data import Dataset 2 from PIL import Image 3 4 import cv2 5 import os 6 7 class MyData(Dataset): 8 def __init__(self, root_dir, lable_dir): 9 self.root_dir = root_dir 10 self.lable_dir = lable_dir 11 self.path = os.path.join(self.root_dir, self.lable_dir) 12 self.img_path = os.listdir(self.path) 13 14 def __getitem__(self, idx): 15 img_name = self.img_path[idx] 16 img_item_path = os.path.join(self.root_dir, self.lable_dir, img_name) 17 img = Image.open(img_item_path) 18 lable = self.lable_dir 19 return img, lable 20 21 def __len__(self): 22 return len(self.img_path) 23 24 root_dir = "E:\\python\\learn_pytorch\\dataset\\train" 25 ants_lable_dir = "ants" 26 bees_lable_dir = "bees" 27 ants_dataset = MyData(root_dir, ants_lable_dir) 28 bees_dataset = MyData(root_dir, bees_lable_dir)