softmaxfocalloss

the focal loss in Aritcal Focal Loss for Dense Object Detection

Code is test on MxNet 0.11.0

Installation

1. Clone the softmaxfocalloss repository, and we’ll call the directory that you cloned softmaxfocalloss as ${FOCAL_LOSS_ROOT}.

   git clone https://github.com/yuantangliang/softmaxfocalloss.git

2. Install MXNet:

   3.1 Clone MXNet and checkout to MXNet by

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

   3.2 Copy operators in $(FOCAL_LOSS_ROOT)/source/softmaxfocal_output.xxx by

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

   3.3 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

   3.4 Install the MXNet Python binding by

    cd python
    sudo python setup.py install

Test

1. run test function to make sure everything is ok by

   cd  $(FOCAL_LOSS_ROOT)
   python softmaxfocaltest.py