This tutorial explains how to access and use the QTM plot window, through which you can graph many types of data, including 3D trajectories, analog data, and rigid bodies. Learn how to graph the different types of data, interact with the plot window, and customize your settings.

The Qt Graphs module enables you to visualize data in 2D and 3D graphs. In the 3D realm there is support for bar, scatter, and surface graphs. It's especially useful for visualizing depth maps and large quantities of rapidly changing data, such as data received from multiple sensors.

Data plot windows are a useful element in a QTM workspace. They allow you to view EMG signals or other data alongside the marker data, both during recording and while reviewing the data, and QTM allows you to preset data plot windows as part of your workspace.

Qt Charts enables creating stylish, interactive, data centric user interfaces. Qt Charts uses the Graphics View Framework for ease of integration. The chart components can be used as QWidget or QGraphicsWidget objects or QML types. Note: The Qt Charts module is in the maintenance phase. For new projects, consider using the Qt Graphs module.

Qt Graphs for data visualization. Contribute to qt/qtgraphs development by creating an account on GitHub.

Draw a thematic map quickly. This function is a convenient wrapper of the main plotting method of stacking tmap-element s. Without arguments or with a search term, this functions draws an interactive map.

QTM streams out the data it receives as it processes them. Visual3D can save the streamed frames out to a C3D file, or directly capture a static trial from the data streaming in. In other words, QTM must be running and streaming out identified target information.

QuickQanava is a C++17 library developed for rendering graphs and relational content within a Qt/QML application. It offers QML components and C++ classes designed for visualizing medium-sized directed graphs in a C++/QML application.

This repository contains an example project that illustrate how PAF can be used to implement custom automated data collection in Qualisys Track Manager (QTM), and how QTM can be connected to a processing engine.

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