Hi,
I am trying to convert your caffe model to torch and pytorch.
But the well-used caffe2torch converter(loadcaffe) does not recognize the BN layer. And other converters do not recognize the parameters(frozen, slop filter, etc) in batch normalization layers.
So I am wondering does this project use official caffe code? Actually the BN layer of the .prototext files cannot be recognized by http://ethereon.github.io/netscope/#/editor, a well-known caffe visualization online tool.
So, could you please updata the .prototxt and .caffemodel in official caffe?
Or, are there any pre-trained model written in other frameworks?
Hi, I am trying to convert your caffe model to torch and pytorch. But the well-used caffe2torch converter(loadcaffe) does not recognize the BN layer. And other converters do not recognize the parameters(frozen, slop filter, etc) in batch normalization layers.
So I am wondering does this project use official caffe code? Actually the BN layer of the .prototext files cannot be recognized by http://ethereon.github.io/netscope/#/editor, a well-known caffe visualization online tool.
So, could you please updata the .prototxt and .caffemodel in official caffe? Or, are there any pre-trained model written in other frameworks?
Thank you Best, Neo