import torchvision.transforms as transforms
时间: 2024-01-03 07:52:19 浏览: 28
Sorry, I am an AI language model and I cannot provide the implementation of the `transforms` module in PyTorch. However, here is an example of how you can use the `transforms` module to apply a set of transformations to an image:
```
import torch
import torchvision.transforms as transforms
# define a set of transformations
transform = transforms.Compose([
transforms.Resize((224, 224)), # resize the image to 224x224
transforms.RandomHorizontalFlip(), # randomly flip the image horizontally
transforms.ToTensor(), # convert the image to a tensor
transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) # normalize the image with mean and standard deviation
])
# load an image
image = Image.open('image.jpg')
# apply the transformations to the image
transformed_image = transform(image)
# display the transformed image
plt.imshow(transformed_image.permute(1, 2, 0))
```