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Overview
lthursdayl edited this page Jul 18, 2017
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This documentation describes how to build and run an OpenPTrack system. We suggest following the order of steps in this documentation, to get a good sense of what constitutes a functional system. The Deployment Guide provides additional practical advice, based on experience using OpenPTrack for our own applications.
- Overview - this section; you're here.
- Supported Hardware - what types of imagers and computers are supported and recommended.
- Installation - how to get and install the software.
- [Time Synchronization](https://github.com/OpenPTrack/open_ptrack/wiki/Time Synchronization) - configuring time synchronization for your OpenPTrack system.
- Pre-Calibration Configuration - configuring the basic elements of your OpenPTrack system.
- Intrinsic Calibration - this step is performed for each imager, after configuration.
- Camera Network Calibration - the overall camera network is calibrated, after intrinsic calibration.
- Tracking - you can begin tracking!
- Tips and Tricks - some tips and tricks, from lessons we've learned (not yet incorporated into the rest of the documentation).
- System Requirements
- Supported Hardware
- Initial Network Configuration
- Example Hardware List for UCLA Setup
- Making the Checkerboard
- Time Synchronization
- Pre-Tracking Configuration
- Camera Network Configuration
- Single Camera
- Setting Parameters
- Multi-Sensor Person Tracking
- HOG vs YOLO Detectors
- World Coordinate Settings
- Single Camera
- Pose Initialization
- Multi Sensor Pose Annotation
- Pose Best Practices
- Setting Parameters
- Single Camera
- Setting Parameters
- Multi Sensor Object Tracking
- YOLO Custom Training & Testing
- Yolo Trainer
- Single Camera
- Setting Parameters
- Multi Sensor Face Detection and Recognition
- Face Detection and Recognition Data Format
How to receive tracking data in: