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pytorch预训练模型的下载地址(.pth)_pytorch框架图像识别的.pt文件下载地址

pytorch框架图像识别的.pt文件下载地址
https://github.com/pytorch/vision/tree/master/torchvision/models
  1. %Resnet:
  2. model_urls = {
  3. 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
  4. 'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
  5. 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',
  6. 'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',
  7. 'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',
  8. }
  9. inception:
  10. model_urls = {
  11. # Inception v3 ported from TensorFlow
  12. 'inception_v3_google': 'https://download.pytorch.org/models/inception_v3_google-1a9a5a14.pth',
  13. }
  14. %Densenet:
  15. model_urls = {
  16. 'densenet121': 'https://download.pytorch.org/models/densenet121-a639ec97.pth',
  17. 'densenet169': 'https://download.pytorch.org/models/densenet169-b2777c0a.pth',
  18. 'densenet201': 'https://download.pytorch.org/models/densenet201-c1103571.pth',
  19. 'densenet161': 'https://download.pytorch.org/models/densenet161-8d451a50.pth',
  20. }
  21. %Alexnet:
  22. model_urls = {
  23. 'alexnet': 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth',
  24. }
  25. %vggnet:
  26. model_urls = {
  27. 'vgg11': 'https://download.pytorch.org/models/vgg11-bbd30ac9.pth',
  28. 'vgg13': 'https://download.pytorch.org/models/vgg13-c768596a.pth',
  29. 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth',
  30. 'vgg19': 'https://download.pytorch.org/models/vgg19-dcbb9e9d.pth',
  31. 'vgg11_bn': 'https://download.pytorch.org/models/vgg11_bn-6002323d.pth',
  32. 'vgg13_bn': 'https://download.pytorch.org/models/vgg13_bn-abd245e5.pth',
  33. 'vgg16_bn': 'https://download.pytorch.org/models/vgg16_bn-6c64b313.pth',
  34. 'vgg19_bn': 'https://download.pytorch.org/models/vgg19_bn-c79401a0.pth',
  35. }

 

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