datasets.py 文件源码

def imagenet():
    channel_stats = dict(mean=[0.485, 0.456, 0.406],
                         std=[0.229, 0.224, 0.225])
    train_transformation = data.TransformTwice(transforms.Compose([
        transforms.RandomRotation(10),
        transforms.RandomResizedCrop(224),
        transforms.RandomHorizontalFlip(),
        transforms.ColorJitter(brightness=0.4, contrast=0.4, saturation=0.4, hue=0.1),
        transforms.ToTensor(),
        transforms.Normalize(**channel_stats)
    ]))
    eval_transformation = transforms.Compose([
        transforms.Resize(256),
        transforms.CenterCrop(224),
        transforms.ToTensor(),
        transforms.Normalize(**channel_stats)
    ])

    return {
        'train_transformation': train_transformation,
        'eval_transformation': eval_transformation,
        'datadir': 'data-local/images/ilsvrc2012/',
        'num_classes': 1000
    }