data.DataLoader无法读取img
时间: 2024-05-02 07:21:04 浏览: 9
可以通过自定义dataset来解决这个问题。首先需要将图片读取为numpy数组,然后在dataset中返回该数组即可。下面是一个示例代码:
```python
import numpy as np
from PIL import Image
import torch.utils.data as data
class CustomDataset(data.Dataset):
def __init__(self, data_path, transform=None):
self.data_path = data_path
self.transform = transform
self.data = []
with open(data_path, 'r') as f:
for line in f:
img_path, label = line.strip().split()
img = np.array(Image.open(img_path))
self.data.append((img, int(label)))
def __getitem__(self, index):
img, label = self.data[index]
if self.transform is not None:
img = self.transform(img)
return img, label
def __len__(self):
return len(self.data)
```
在使用时,可以像下面这样创建dataset和dataloader:
```python
from torchvision.transforms import transforms
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])
])
dataset = CustomDataset('data.txt', transform=transform)
dataloader = data.DataLoader(dataset, batch_size=32, shuffle=True)
```