This is a MxNet_gluon re-implementation of Single-Shot Refinement Neural Network for Object Detection.
This project is based on MxNet_GluonCV, and completed by YangJirui.
SSD 300(vgg-16): 77.2 mAP
Paper's refineDet 320(vgg-16): 80.0 mAP
Our refineDet 320(vgg-16) : 78.9 mAP
Our re-implementation of RefineDet performs about 1mAP lower than Paper's.
We will try our best to fix it in the future.
1、python2.7 (anaconda recommend)
2、cuda9.0 (cuda 8.0 may cause Nan when training)
3、opencv(cv2)
1、train
cd $PATH_ROOT/scripts/detection/refineDet
./train_scipt.sh