PhysTrackX：面向物理实验室的运动学跟踪开源软件
PhysTrackX: Open-Source Software for Kinematics Tracking for the Physics Laboratory
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中文总结 AI 辅助
PhysTrackX是一款面向物理实验室的开源视频分析框架，具备机器学习跟踪、OCR同步等功能，可提取运动学数据以提升本科物理教学价值。
中文摘要 AI 辅助
视频分析软件是现代本科物理实验室的核心工具，能让学生从真实现象中提取定量运动学数据。本文介绍PhysTrackX，这是一款现代开源视频分析框架，旨在最小化认知负荷并最大化教学价值。PhysTrackX采用精简图形界面，具备视频剪辑、空间校准、坐标系定义等全面功能，还搭载基于机器学习的稳健跟踪技术。此外，它引入集成光学字符识别（OCR）模块，用于同步运动学数据与外部数字传感器显示，配备交互式几何插件实现原位空间测量，以及数据管理工具。本文通过若干案例研究介绍该软件及其功能。
英文摘要
Video analysis software is a staple of the modern undergraduate physics laboratory, enabling students to extract quantitative kinematic data from real-world phenomena. In this paper, we introduce PhysTrackX, a modern, open-source video analysis framework designed to minimize cognitive load and maximize pedagogical value. Built with a streamlined graphical interface, PhysTrackX features a comprehensive set of functionalities including video trimming, spatial calibration, and coordinate system definition with robust, machine learning based tracking. Furthermore, it introduces an integrated optical character recognition (OCR) module for synchronizing kinematic motion with external digital sensor displays, an interactive geometry plugin for in-situ spatial measurements, and a data management tool. In this article, we introduce the software and its functionality through some case studies.
