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Supported Hardware

Simeon ADEBOLA edited this page Dec 30, 2019 · 21 revisions

Supported Imagers

RGB-D Imagers currently supported:

Legacy:

N.B.: Legacy imagers should still function with OpenPTrack V2. However, driver updates are not supported by the OpenPTrack team.

Supported Hardware

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.

Supported OS

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.

About OpenPTrack v2

What's New In Gnocchi

Overview

Setting Up an OpenPTrack v2 System:

OpenPTrack System and Hardware Requirements

Build and Install

Configuration

Running OpenPTrack v2:

Calibration

Person Tracking

Pose Annotation

Object Tracking

Face Detection and Recognition

Tracking GUI

How to use the tracking data

How to receive tracking data in:

Deployment Guide

  1. Tested Hardware
  2. Network Configuration
  3. Imager Mounting and Placement
  4. Calibration in Practice
  5. Quick Start Example
  6. Imager Settings
  7. Manual Ground Plane
  8. Calibration Refinement (Person-Based)
  9. Calibration Refinement (Manual)

Troubleshooting

OPT on the NVidia Jetson

Hacking and Contributing to OPT.

OpenPTrack Website

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