Advanced-Mxnet2Caffe

Operator Support Lists

• Convolution
• ChannelwiseConvolution
• BatchNorm
• Activation
• ElementWiseSum
• _Plus
• Concat
• Crop
• Pooling
• Flatten
• FullyConnected
• SoftmaxOutput&SoftmaxFocalOutput
• SoftmaxActivation
• LeakyReLU
• elemwise_add
• UpSampling
• Deconvolution
• Clip
• Reshape

Tested models

• Mxnet-SSH
• MobileNet-V2
• Resnet-50
• RetinaFace with ( Resnet-50 ,Mobilenet 0.25 backbone)
• All models from Insightface Model Zoo .

Note&Bugs

The convertor Is not fully automatically, The convertor not

• if you wanna convert upsampling operator , the convertor will convert Upsampling operator to Deconvolution in Caffe , The Deconvolution channels need to be set (in prototxt_basic.py names_output).
• If you use Flatten Layer ,You need to manually to connect them becasuse the converted compute graph will be divided into two parts.
• If convert a detection model. You need to remove the anchor process and put it into post process.
• Usually,If you find that conversion errors, please set the prefix name of you backbone network in mxnet2caffe.py.