This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (C3F). The contributions of C3F are in three folds: 1) Some solid baseline networks are presented, which have achieved the state-of-the-arts. 2) Some flexible parameter setting strategies are provided to further promote the performance. 3) A powerful log system is developed to record the experiment process, which can enhance the reproducibility of each experiment. Our code is made publicly available at \url{https://github.com/gjy3035/C-3-Framework}. Furthermore, we also post a Chinese blog\footnote{\url{https://zhuanlan.zhihu.com/p/65650998}} to describe the details and insights of crowd counting.
Cite
@article{arxiv.1907.02724,
title = {C^3 Framework: An Open-source PyTorch Code for Crowd Counting},
author = {Junyu Gao and Wei Lin and Bin Zhao and Dong Wang and Chenyu Gao and Jun Wen},
journal= {arXiv preprint arXiv:1907.02724},
year = {2019}
}