用resnet预训练模型时使用数据增强时报错

 其原因是处理图片时：

train_transformer = torchvision.transforms.Compose(
     [   transforms.Resize(224,224),
     transforms.RandomCrop(192,192),
     transforms.ColorJitter(brightness=0.4),
     transforms.RandomHorizontalFlip(0.2),
     transforms.ColorJitter(contrast=4),
     transforms.ToTensor(),
     transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
     ]

)

标红部分修改为：

train_transformer = torchvision.transforms.Compose(
     [   transforms.Resize((224,224)),
     transforms.RandomCrop((192,192)),
     transforms.ColorJitter(brightness=0.4),
     transforms.RandomHorizontalFlip(0.2),
     transforms.ColorJitter(contrast=4),
     transforms.ToTensor(),
     transforms.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
     ]

)