C^3 Framework: An Open-source PyTorch Code for Crowd Counting
Junyu. Gao, Wei. Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/gjy3035/C-3-FrameworkOfficialIn paperpytorch★ 0
- github.com/MagazzuGaetano/Crowd-Counting-DEMOpytorch★ 3
- github.com/surajdakua/Crowd-Counting-Using-Pytorchpytorch★ 0
Abstract
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 (C^3F). The contributions of C^3F 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 https://github.com/gjy3035/C-3-Framework. Furthermore, we also post a Chinese blog https://zhuanlan.zhihu.com/p/65650998 to describe the details and insights of crowd counting.