An oriented bounding boxes implement of YOLOv3 with SEnet , Deformable Convolution and rotated NMS written in CUDA.
enviroment： ubuntu16.04 pytorch1.1
requirement： numpy opencv matplotlib tensorboardX shapely
install:
cd ./yolo/nms
python setup.py build_ext --inplace
usage:
1.make your own dataset by labeImage https://github.com/woshiwwwppp/ryolov3research-pytorch-master/blob/master/labelImg.exe
2.use generate_data.py to get label file
3.set the parameter in object_classes_all.txt and config.py
3.use train.py to train
