Skip to content

yongtuoliu/Crowd-Counting-via-Cross-stage-Refinement-Networks

Repository files navigation

Crowd Counting via Cross-stage Refinement Networks

Paper

This is a Tensorflow implementation of TIP 2020 paper "Crowd Counting via Cross-stage Refinement Networks".
Yongtuo Liu, Qiang Wen, Haoxin Chen, Wenxi Liu, Jing Qin, Guoqiang Han, and Shengfeng He*

Requirement

  • Python 3.5
  • Tensorflow 1.9.0
  • Matplotlib 2.0.2
  • h5py 2.8.0
  • scipy 1.1.0
  • Ubuntu 16.04 LTS

Dataset

The ShanghaiTec dataset can be downloaded from Baidu Disk: link.
Other counting-related datasets can be found in link.

Training

python train.py

Testing

python test.py

Citation

@article{liu2020crowd,
title={Crowd Counting via Cross-stage Refinement Networks},
author={Liu, Yongtuo and Wen, Qiang and Chen, Haoxin and Liu, Wenxi and Qin, Jing and Han, Guoqiang and He, Shengfeng},
journal={IEEE Transactions on Image Processing},
year={2020}
}

Contact

For any questions with respect to this paper and code, please feel free to contact Yongtuo Liu.

About

Official code for Crowd Counting via Cross-stage Refinement Networks. TIP 2020

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages