- add data augmentation
- add Multi-scale training
- add onnx (doing)
- train code in : https://github.com/ouyanghuiyu/Snet
- pytorch 1.2.0
- torchvision 0.4
git clone https://github.com/ouyanghuiyu/Thundernet_Pytorch.git
cd lib && python setup.py build_ext --inplace
cd psroialign/PSROIAlign && sh build.sh
Download VOC0712 datasets ln -s "YOUR PATH" data
cd script
sh train_49.sh
sh train_146.sh
sh train_535.sh
cd script
sh pre.sh
- add coco train and test
- add NCNN inference
Please cite the paper in your publications if it helps your research:
@article{zheng2019thundernet,
title={ThunderNet: Towards Real-time Generic Object Detection},
author={Zheng Qin, Zeming Li,Zhaoning Zhang,Yiping Bao,Gang Yu, Yuxing Peng, Jian Sun},
journal={arXiv preprint arXiv:1903.11752},
year={2019}
}