https://github.com/BerkeleyAutomation/perception

AUTOLab perception toolkit
https://github.com/BerkeleyAutomation/perception

Last synced: 2 months ago
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AUTOLab perception toolkit

• Host: GitHub
• URL: https://github.com/BerkeleyAutomation/perception
• Owner: BerkeleyAutomation
• License: apache-2.0
• Created: 2016-10-27T01:19:32.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2022-03-28T18:13:23.000Z (about 3 years ago)
• Last Synced: 2025-03-13T15:09:44.958Z (2 months ago)
• Language: Python
• Homepage: https://berkeleyautomation.github.io/perception
• Size: 3 MB
• Stars: 72
• Watchers: 25
• Forks: 35
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Berkeley Autolab Perception Module

[![pypi](https://img.shields.io/pypi/v/autolab-perception.svg)](https://pypi.org/project/autolab-perception/) [![python-versions](https://img.shields.io/pypi/pyversions/autolab-perception.svg)](https://pypi.org/project/autolab-perception/) [![status](https://github.com/BerkeleyAutomation/perception/workflows/Release%20Perception/badge.svg)](https://github.com/BerkeleyAutomation/perception/actions) [![style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

This package provides a wide variety of useful tools for perception tasks.

It directly depends on the [Berkeley Autolab Core

module](https://www.github.com/BerkeleyAutomation/autolab_core), so be sure to install

that first.

View the install guide and API documentation for the perception module

[here](https://BerkeleyAutomation.github.io/perception). Dependencies for each driver are not automatically installed, so please install ROS or camera-specific packages separately before using these wrappers.

NOTE: As of May 4, 2021, this package no longer supports Python versions 3.5 or lower as these versions have reached EOL. In addition, many modules have been moved to `autolab_core` to reduce confusion. This repository now will contain sensor drivers and interfaces only. If you wish to use older Python versions or rely on the old modules, please use the 0.x.x series of tags.