gjy3035/C-3-Framework
An open-source PyTorch code for crowd counting
This framework helps researchers and machine vision engineers accurately count the number of people in crowded images. You input images containing crowds, and the system outputs a precise count of individuals. It's designed for those developing or evaluating algorithms for crowd analysis in various scenarios.
729 stars. No commits in the last 6 months.
Use this if you are developing or benchmarking new crowd counting models and need a reliable framework with established baseline performances.
Not ideal if you need an out-of-the-box application for real-time crowd monitoring without any model development.
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729
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199
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Jupyter Notebook
License
MIT
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Last pushed
Mar 30, 2024
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