occlusion.py 文件源码

def load_labels(data_dir,resize=(224,224)):

    data_transforms = {
        'train': transforms.Compose([
            transforms.RandomSizedCrop(max(resize)),
            transforms.RandomHorizontalFlip(),
            transforms.ToTensor(),
            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
        ])
    }
    dsets = {x: datasets.ImageFolder(os.path.join(data_dir, 'train'), data_transforms[x])
             for x in ['train']}  
    return (dsets['train'].classes)