Publication | Open Access
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
35
Citations
8
References
2019
Year
Crowd ComputingComputational ScienceCrowd SimulationMachine VisionMachine LearningCrowd BehaviorData ScienceSolid KitsEngineeringSocial ComputingCrowd CountingSolid Baseline NetworksComputer ScienceCrowdsourcingHuman ComputationStatisticsComputer Vision
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$^3$F). The contributions of C$^3$F 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.
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