Some questions about Pretrained models.

[Luoxd1996]

1. The pretrained models you have provided are compressed file, but it cannot be decompressed. And Pytorch can't directly get parameters.
   2.def resnet101_ibn_a(pretrained=False, modelpath='./models', **kwargs):
   """Constructs a ResNet-101 model.

   Args:
   pretrained (bool): If True, returns a model pre-trained on ImageNet
   """
   model = ResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
   if pretrained:
   model.load_state_dict(model_zoo.load_url(model_urls['resnet101']))
   return model
   This function which in resnet_ibn_a.py conclude a dict model_urls,but model_ulrs['resnet101'] is a url which is a resnet101 pretrained models not the resnet101-ibn-net pretrained model.
   So I want to ask you for some methods to used IBN-Net pretrained models.Thanks !

[XingangPan]

@Luoxd1996 You may check this tutorial: https://pytorch.org/tutorials/beginner/saving_loading_models.html.
In our code, you can use '--model_weight' option to set the pretrained model.

The pretrained models are not compressed files and do not need to be decompressed. It is a file name issue and has been fixed.