Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

A tracking algorithm for general purpose

Project description



This is a tracking package for items, which are define with a complete structure. Item can be define either by PointCloud as define in ROS, or with components. These components have 3D pose, orientation and size. It is possible to enable pose smoothing of components or item. The implemented smoothing is exponential smoothing. The tracking matches check each iteration the evolution of tracked items depending on how the parameters are set.


Examples of how this package can be used are in the directory examples.


pip install item_tracking should work for most users.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for item-tracking, version 1.0.10
Filename, size File type Python version Upload date Hashes
Filename, size item_tracking-1.0.10-py2.py3-none-any.whl (10.6 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size item_tracking-1.0.10.tar.gz (5.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page