resnet

Hello! In the Torch version of Bottleneck, it appears that self.dropblock2 is never used.

self.dropblock2 is initialized in lines 52-56 if radix == 1:
https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/resnet.py#L52-L56

        if dropblock_prob > 0.0:
            self.dropblock1 = DropBlock2D(dropblock_prob, 3)
            if radix == 1:
                self.d

Hi
when I do classification with the pretrained vggface2 model, how do I match a probability to a name? do you have a list of labels for the trained model?

Thanks

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!

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