1 import os
2 import imageio
3 from imageio import imread
4 import torch
5
6 # batch_size = 3
7 # batch = torch.zeros(batch_size, 3, 256, 256, dtype=torch.uint8)
8 # batch.shape #torch.Size([3, 3, 256, 256])[B,C,H,W]
9
10 data_dir = 'C:/Users/Dell/Pictures/'
11 filenames = [name for name in os.listdir(data_dir)
12 if os.path.splitext(name)[-1] == '.png'] #选择指定目录下的.png图片
13
14 for i, filename in enumerate(filenames):
15 img_arr = imageio.imread(os.path.join(data_dir, filename)) #imread读入为H*W*C
16 img_t = torch.from_numpy(img_arr)
17 img_t = img_t.permute(2, 0, 1) #交换维度
18 img_t = img_t[:3] #只保留前3个通道
19 batch[i] = img_t #指第i个维度上的所有数据
