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OpenCV

OpenCV is a library of programming functions mainly aimed at real-time computer vision

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Overview

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

It has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. - Official website

OpenCV supports the deep learning frameworks TensorFlow, Torch/PyTorch and Caffe.

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Platform

     

Social

         

System Requirements

#Minimum
1700 MHz single core CPU
2256 MB RAM

Ratings

Aggregate
4.80 
 5
DiscoverSDK 10 
 10 		based on 1 reviews
G2CROWD 4.6 
 5 		based on 28 reviews
SourceForge 4.8 
 5 		based on 139 reviews

Developer

Intel Corporation, Willow Garage, Itseez

Written in

C++, C

Initial Release

June 2000

Repository

https://github.com/opencv/opencv

License

BSD-3

Categories

Computer Vision, Machine Learning, Framework

Alternatives

Computer Vision
Accord.NET   AForge.NET  
Machine Learning
Apache Mahout   Apache SystemML   Eclipse Deeplearning4j   MALLET   Massive Online Analysis (MOA)   scikit-learn   TensorFlow   The Microsoft Cognitive Toolkit   Torch   Yooreeka   Orange   Apache MXNet (Incubating)   Apache Spark   mlpack   Weka   PyTorch  

Notes


This page was last updated with commit: Now custom 'Remarks' are allowed instead of just 'Portable' in 'Get it'; all software's source files have been updated accordingly (0cb3959)