ResNet相关预训练模型下载地址_resnet50预训练模型下载

作者：小丑西瓜9 | 2024-02-27 09:14:14

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resnet50预训练模型下载


model_urls = {
    'resnet18': 'https://download.pytorch.org/models/resnet18-f37072fd.pth',
    'resnet34': 'https://download.pytorch.org/models/resnet34-b627a593.pth',
    'resnet50': 'https://download.pytorch.org/models/resnet50-0676ba61.pth',
    'resnet101': 'https://download.pytorch.org/models/resnet101-63fe2227.pth',
    'resnet152': 'https://download.pytorch.org/models/resnet152-394f9c45.pth',
    'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth',
    'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth',
    'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth',
    'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth',
}

两种载入的方法：


    # methold1：
    # model = torchvision.models.resnet152(pretrained=True)
 
    # methold2：
    model=torchvision.models.resnet152()
    model.load_state_dict(torch.load('./resnet152-394f9c45.pth'))

[1] 参考pytorch, torchvision.modules.resnet

GitHub - Cadene/pretrained-models.pytorch: Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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