【Model】Pretrained_URL

一、预训练模型URL

1. Classification 分类

AlexNet

1. model_urls = {

2. 'alexnet': 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth',

3. }

VGG

1. model_urls = {

2. 'vgg11': 'https://download.pytorch.org/models/vgg11-bbd30ac9.pth',

3. 'vgg13': 'https://download.pytorch.org/models/vgg13-c768596a.pth',

4. 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth',

5. 'vgg19': 'https://download.pytorch.org/models/vgg19-dcbb9e9d.pth',

6. 'vgg11_bn': 'https://download.pytorch.org/models/vgg11_bn-6002323d.pth',

7. 'vgg13_bn': 'https://download.pytorch.org/models/vgg13_bn-abd245e5.pth',

8. 'vgg16_bn': 'https://download.pytorch.org/models/vgg16_bn-6c64b313.pth',

9. 'vgg19_bn': 'https://download.pytorch.org/models/vgg19_bn-c79401a0.pth',

10. }

ResNet

1. model_urls = {

2. 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',

3. 'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',

4. 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',

5. 'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',

6. 'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',

7. }

ResNeXt

1. model_urls = {

2. 'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth',

3. 'resnext101_32x8d': 'h