Reduce the yolov3 model size of keras(.h5) or darknet(.weight)

[YsYusaito]

I want to reduce the size of yolov3 model( format is keras(.h5) or darknet(.weight) ) using pruning method.

According to issue #62, I found the discription 「Sure, you can use Distiller with any network, not just the models that come from TorchVision. 」.

Therefore, can I reduce model size of keras(.h5) or darknet(.weight) without converting these models into pytorch model?? In addition, I would appreciate it if you could let me know how to prune yolov3 model ( keras(.h5) or darknet(.weight) )