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OpenCV

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40 reviews
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Average star rating
4.5
Serving customers since
2000

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OpenCV Reviews

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Profile Name
Star Rating
31
6
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1
HP
Harsh P.
Software Developer at InfoManiac
04/15/2018
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Verified Current User
Review source: G2 invite
Incentivized Review

Computer Vision Eased

- It is open source. - It has multiple language support, I have used it in C++ as well as python. - It has all the algorithms one need to perform Computer Vision tasks. - If I talk specifically for python, the great thing is it easily blends with famous and useful libraries like numpy and matplotlib
JB
jill B.
elliot at Voelker
04/03/2018
Validated Reviewer
Review source: Seller invite

OpenCV Business Review

OpenCv was created for c++ and as the world advanced they changed the library into python library. I have utilized its python library to perform different PC vision applications like signal acknowledgment ,confront recognition, color tracking, eye ball following and numerous increasingly and I was effectively ready to actualize those utilizing open cv library for python. It is exceptionally easy to utilize and just by review certain illustrations you can without much of a stretch code your necessity.
Verified User in Industrial Automation
GI
Verified User in Industrial Automation
04/03/2018
Validated Reviewer
Review source: G2 invite
Incentivized Review

Easy platform to get started with image processing

It's ease of programming and flexibility to program in C++ or Python

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What is OpenCV?

OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library aimed at enabling real-time computer vision applications. Founded in 1999 by Intel, OpenCV has grown to become one of the most used libraries in the field, valued for its efficiency and broad array of functionalities. The library offers over 2500 optimized algorithms, which include a full spectrum of both classic and state-of-the-art computer vision and machine learning algorithms. These capabilities support various applications from facial recognition and object identification to gesture analysis and motion tracking.The OpenCV project is community-driven, supported by a rich ecosystem of contributors and enthusiasts who continually develop and refine the library. Its versatility allows it to be deployed across many platforms including Windows, Linux, and MacOS, and it is accessible from interfaces such as Python, Java, and C++.For additional resources, documentation, and downloads, you can visit their official website at [https://opencv.org](https://opencv.org). Whether you're an amateur enthusiast or a professional developer, OpenCV offers a robust toolkit for building powerful visual recognition software.

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Year Founded
2000
Website
opencv.org