Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Library and utilities for 3d reconstruction from stereo cameras.

Project description

StereoVision is a package for working with stereo cameras, especially with the intent of using them to produce 3D point clouds. The focus is on performance, ease of usability, and the ability to construct 3D imaging setups cheaply.

StereoVision relies heavily on OpenCV. If you’re not sure about what a given variable does or what values would make sense for it and no explanation is provided in the StereoVision documentation, refer to OpenCV’s documentation in order to better understand how they work.

It’s available on PyPI, so you can install it like this:

pip install StereoVision

Tutorials are available on the Stackable blog:

If you find a bug or would like to request a feature, please report it with the issue tracker. If you’d like to contribute to StereoVision, feel free to fork it on GitHub.

StereoVision is released under the GNU General Public License, so feel free to use it any way you like. It would be nice to let me know if you do anything cool with it though.

Author: Daniel Lee

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 StereoVision, version 1.0.4
Filename, size File type Python version Upload date Hashes
Filename, size StereoVision-1.0.4.tar.gz (37.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page