Attribute-aware Pedestrian Detection in a Crowd
To run the demo, the following requirements are needed.
numpy
matplotlib
torch >= 0.4.1
glob
argparse
[DCNv2](https://github.com/CharlesShang/DCNv2/tree/pytorch_0.4)
final.pth is a model trained on cityperson dataset.
The demo code and the trained is only for cityperson dataset.
python demo.py --img_list 'images/*.pth'
If you find this project useful for your research, please use the following BibTeX entry.
@article{DBLP:journals/corr/abs-1910-09188,
author = {Jialiang Zhang and
Lixiang Lin and
Yun{-}chen Chen and
Yao Hu and
Steven C. H. Hoi and
Jianke Zhu},
title = {{CSID:} Center, Scale, Identity and Density-aware Pedestrian Detection
in a Crowd},
journal = {CoRR},
volume = {abs/1910.09188},
year = {2019},
url = {http://arxiv.org/abs/1910.09188},
archivePrefix = {arXiv},
eprint = {1910.09188},
timestamp = {Tue, 22 Oct 2019 18:17:16 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1910-09188},
bibsource = {dblp computer science bibliography, https://dblp.org}
}