Skip to main content

Easy Computer Vision Library using OpenCV.

Project description

Documentation Status!--None.svg?style=social

Welcome to EasyVision Documentation

Documentation for EasyVision - a simple framework of computer vision algorithms build on top of OpenCV. Contains such features as:

  • Calibrated Mono and Stereo camera
  • Feature extraction
  • Color blob extraction
  • Histogram backprojection
  • Background separation
  • Multiprocessing
  • Remote processing using Pyro4
  • Visual Odometry and Mappings
  • Object recognition
  • Bag Of Words (pip install pyDBoW3)


Bag Of Words depend on pyDBoW3


EasyVision is released on PyPI, so all you need is:

$ pip install EasyVision

To upgrade to latest version:

$ pip install --upgrade EasyVision

Project details

Release history Release notifications

Download files

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

Files for EasyVision, version 0.0.3
Filename, size & hash File type Python version Upload date
EasyVision-0.0.3-py2-none-any.whl (44.0 MB) View hashes Wheel py2
EasyVision-0.0.3-py3-none-any.whl (44.0 MB) View hashes Wheel py3

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