Please can you train ghostnet.
(i don't have the imagenet dataset)

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!