TypeError: Input tensor should be a torch tensor. Got <class 'PIL.Image.Image'>.

This error message indicates that the input to a PyTorch function or model should be a tensor, but instead it received a PIL Image object. To fix this error, you need to convert the PIL Image object to a PyTorch tensor using the `transforms.ToTensor()` function. Here's an example:

import torch
from torchvision import transforms
from PIL import Image

# Load the image
img = Image.open('my_image.jpg')

# Define the transform
transform = transforms.Compose([
    transforms.Resize((224, 224)),
    transforms.ToTensor()
])

# Apply the transform to the image
img_tensor = transform(img)

# Pass the tensor to the PyTorch function or model
output = my_model(img_tensor)

相关问题

TypeError: pic should be Tensor or ndarray. Got <class 'PIL.Image.Image'>.

This error occurs when you are trying to pass a PIL Image object to a function or method that expects a Tensor or ndarray object.

To resolve this error, you can convert the PIL Image object to a Tensor or ndarray using the appropriate function. For example, if you are using PyTorch, you can use the torchvision.transforms.ToTensor() function to convert the PIL Image object to a Tensor.

Here is an example code snippet:

import torch
import torchvision.transforms as transforms
from PIL import Image

# Load the image using PIL
img = Image.open('image.jpg')

# Convert the image to a Tensor
tensor_img = transforms.ToTensor()(img)

# Pass the Tensor to the function/method that expects it

In this example, we first load the image using PIL, then convert it to a Tensor using the ToTensor() function from torchvision.transforms module. We can then pass the Tensor object to the function or method that expects it.

TypeError: pic should be PIL Image or ndarray. Got <class 'torch.Tensor'>

这个错误表示您传递给代码的“pic”变量是一个torch.Tensor对象，但是您的代码需要一个PIL图像或一个ndarray数组。您可以将torch Tensor转换为PIL图像或ndarray数组，以便您的代码能够正确处理它。您可以使用Pillow软件包将torch Tensor转换为PIL图像，或使用numpy将其转换为ndarray数组。