Piotr Chudzik

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Hi guys! I tried other version of mobilenet v1 (the only one I could find pretrained on Imagenet): The pretrained model can be downloaded from here: https://pan.baidu.com/s/1eRCxYKU ` def __init__(self):...

Interestingly, even though the model is much more "wide", the inference speed on test.jpg is still impressive: net forward time: 0.0051 net forward time: 0.0052 net forward time: 0.0052 net...

But the net speeds (published above) for v1 are still fast (although model size jumped to 26MB). Net speeds are almost as good as 0.25

@xsacha - makes sense! I'm curious how it compares to your ShuffleNet, would you mind sparing me the google search for Imagenet pretrained version and sharing it please? Also are...

@xsacha mnasNet looks interesting and is provided in pytorch.hub

@biubug6 Do you have any timetable for the onnx model please?

I think I had the same error, the problem was with onnx not pytorch, just updated onnx (pytorch can have different onnx version) ;)

Yes, but it was a while ago so I don't remember specifics - it is known problem with onnx, but there was simple fix - try google;)