{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/c3-framework-an-open-source-pytorch-code-for","title":"C^3 Framework: An Open-source PyTorch Code for Crowd Counting","arxiv_id":"1907.02724","date":"2019-07-05","proceeding":null,"authors":["Junyu. Gao","Wei. Lin","Bin Zhao","Dong Wang","Chenyu Gao","Jun Wen"],"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$^3$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.","url_abs":"https://arxiv.org/abs/1907.02724v1","url_pdf":"https://arxiv.org/pdf/1907.02724v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"c3-framework-an-open-source-pytorch-code-for","repo_url":"https://github.com/gjy3035/C-3-Framework","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"c3-framework-an-open-source-pytorch-code-for","repo_url":"https://github.com/MagazzuGaetano/Crowd-Counting-DEMO","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"c3-framework-an-open-source-pytorch-code-for","repo_url":"https://github.com/surajdakua/Crowd-Counting-Using-Pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"crowd-counting","task_name":"Crowd Counting"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1907.02724","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}