Abstract: Surveillance, crowd management, and person tracking are major problems. This research work describes the process of counting and identifying people in real-world scenarios, as well as ...
TL;DR: The best Python libraries for data science are NumPy (numerical arrays), Pandas (data wrangling), Scikit‑learn (classical machine learning), and Matplotlib (plots). These tools are essential ...
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