Deoldify Vapoursynth filter

[Dan64]

The download of resnet101 is triggered by "fastai vision" in the files: presnet.py, xresnet.py, xresnet2.py
The function used is defined in torch.utils.model_zoo.load_url()
The logic is embedded in fastai version of Deoldify. More precisely in the function  

def xresnet101(pretrained=False, **kwargs):
    """Constructs a XResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    model = XResNet(Bottleneck, [3, 4, 23, 3], **kwargs)
    if pretrained: model.load_state_dict(model_zoo.load_url(model_urls['xresnet101']))
    return model

While the use of the ".cache" is embedd directly in torch, I don't think that is possible to change this logic.

You can find more info here: https://pytorch.org/docs/stable/hub.html

In meanwhile I discovered that is not a problem to have "fastai==1.0.60" installed with vsdeoldify.
It was a problem for me during the development, but once all the "imports" are correctly assigned, the problem disappears.

I fixed some small issue in the package, I attached a new version.

Thanks,
Dan