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APD

Attribute-aware Pedestrian Detection in a Crowd

Installation

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)

Model

final.pth is a model trained on cityperson dataset.

Demo

The demo code and the trained is only for cityperson dataset.

python demo.py --img_list 'images/*.pth'

Citation

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}
}

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