this code is mxnet implementation of ShuffleNetV1 and ShuffleNetv2, For details, please read the original paper:
shufflenetv1
shufflenetv2
This code is based on farmingyard's implementation(https://github.com/farmingyard/ShuffleNet)

Code is test on MxNet 1.11.0

1. Clone this repository, and we'll call the directory that you cloned mxnet-shufflenet as ${SHUFFLENET_ROOT}.

git clone https://github.com/Tveek/mxnet-shufflenet.git

2. Install shuffle channel operator to MXNet:

   2.1 Clone MXNet and checkout to MXNet by

   git clone --recursive https://github.com/dmlc/mxnet.git
   git submodule update
   

   2.2 Copy operators in $(SHUFFLENET_ROOT)/source/shuffle_channel*.xxx by

   cp -r $(SHUFFLENET_ROOT)/operator/* $(MXNET_ROOT)/src/operator/contrib/
   

   2.3 Compile MXNet

   cd ${MXNET_ROOT}
   make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1
   

   2.4 Install the MXNet Python binding by

   cd python
   sudo python setup.py install 
   

3. Python operator function are also in symbol file, so you can use it without above

• RGB mean and std are used(rgb_mean=[123.68,116.779,103.939], rgb_std=[58.393,57.12,57.375])

• The top-1/5 accuracy rates by using single random crop (crop size: 224x224, image size: 256xN)