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Supported Hardware
RGB-D Imagers currently supported:
- Kinect V2
- Intel RealSense
- ZED Stereo Camera
- Microsoft Kinect Azure (Preliminary Support)
Legacy:
- Mesa SwissRanger 4500
- Kinect V1 (XBOX, not Kinect for Windows)
- Stereo Camera (Point Grey Blackfly - USB or IP)
N.B.: Legacy imagers should still function with OpenPTrack V2. However, driver updates are not supported by the OpenPTrack team.
The main requirement for each compute node: Linux x86-compatible hardware capable of running Ubuntu 16.04 and the Robot Operating System (ROS). Most likely, one compute node will be needed per imager. Our deployment experience suggests that modern Ubuntu-compatible machines with i7 CPUs and at least 8GB RAM constitutes a good setup for each node. Running on pre-2011 hardware is not recommended. OpenPTrack will not compile on a machine with less than 2.7GB RAM.
Faster CPUs can mean better tracking performance, and may also enable running more than one detection process (i.e., more than one sensor) per node. Do not run any node close to 100% CPU utilization, or tracking performance will most likely suffer.
Kinect V2 support requires a CUDA-capable GPU. Nvidia GPUs tested so far: Nvidia GeForce 650, 660, 670, 740, 750, 760, 770, 840, 850, 860, 870, 1070 and 1080.
N.B.: Optimal pose annotation requires at least an Nvidia 1070 or 1080 chip set, with the 1080 being recommended.
The Deployment Guide contains additional hardware recommendations, in the Tested Hardware section.
Currently Supported:
- Person and object detection and tracking & pose annotation hosts: Ubuntu 16.04, Ubuntu 18.04
- Consumers: Any platform that can receive UDP datagrams.
- 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: