基于mmdetection 实现一些轻量级检测模型，安装方式和mmdeteciton相同
voc 0712训练 voc2007测试 coco预训练 thundernet_voc_shufflenetv2_1.5
| input shape | mAP |
|---|---|
| 320*320 | 0.71 |
| 352*352 | 0.722 |
| 384*384 | 0.734 |
| 416*416 | 0.738 |
| 448*448 | 0.744 |
| 480*480 | 0.747 |
thundernet_coco_shufflenetv2_1.5
| input shape | AP(0.5:0.95) |
|---|---|
| 320*320 | 0.22 |
Please see GETTING_STARTED.md for the basic usage of MMDetection.
@article{mmdetection,
title = {{MMDetection}: Open MMLab Detection Toolbox and Benchmark},
author = {Chen, Kai and Wang, Jiaqi and Pang, Jiangmiao and Cao, Yuhang and
Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and
Liu, Ziwei and Xu, Jiarui and Zhang, Zheng and Cheng, Dazhi and
Zhu, Chenchen and Cheng, Tianheng and Zhao, Qijie and Li, Buyu and
Lu, Xin and Zhu, Rui and Wu, Yue and Dai, Jifeng and Wang, Jingdong
and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua},
journal= {arXiv preprint arXiv:1906.07155},
year={2019}
}