TypeError:tensor不是火炬图像

Question

在Udacity完成AI课程时,我在转学习部分遇到了这个错误.这是似乎导致麻烦的代码:

import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models

data_dir = 'filename'

# TODO: Define transforms for the training data and testing data
train_transforms= transforms.Compose([transforms.Resize((224,224)), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), transforms.ToTensor()])
test_transforms= transforms.Compose([transforms.Resize((224,224)), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]), transforms.ToTensor()])

# Pass transforms in here, then run the next cell to see how the transforms look
train_data = datasets.ImageFolder(data_dir + '/train', transform=train_transforms)
test_data = datasets.ImageFolder(data_dir + '/test', transform=test_transforms)

trainloader = torch.utils.data.DataLoader(train_data, batch_size=64, shuffle=True)
testloader = torch.utils.data.DataLoader(test_data, batch_size=32)

Answer 1

问题在于变换的顺序.该ToTensor变换应该来之前的Normalize变换,因为后者需要一个张量,但Resize变换回报的图像.更改错误行的正确代码:

train_transforms = transforms.Compose([
    transforms.Resize((224,224)), 
    transforms.ToTensor(), 
    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])
test_transforms = transforms.Compose([
    transforms.Resize((224,224)), 
    transforms.ToTensor(), 
    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])