This is an adaptation of MMDetection for the ECCV2020 Robust Vision Challenge.
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RVC Dataset
Includes a RVC dataset using the annotations converted with the RVC Toolkit.
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Resample Datasets
Flexible dataset resampling function
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Baseline Model
Includes config files that were used to train the official object detection baseline submission.
The original MMDetection readme can be found in MMDETECTION_README.md.
Please refer to install.md for installation and dataset preparation.
Please see getting_started.md for the basic usage of MMDetection. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, and adding new modules.
This toolbox is based on MMDetection, a flexible and powerful open source object detection toolkit. If you use is in your submission or research, please cite their project.
@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}
}
This project is released under the Apache 2.0 license building upon MMDetection.
This repo is currently maintained by Claudio Michaelis (@michaelisc).