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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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31
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OpenCV Reviews

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Profile Name
Star Rating
31
6
2
0
1
Verified User in Information Technology and Services
GI
Verified User in Information Technology and Services
12/12/2017
Validated Reviewer
Review source: G2 invite
Incentivized Review

good to medel 3d objects

could work on multiple projects in interactive design and computer graphics
Verified User in Research
GR
Verified User in Research
12/12/2017
Validated Reviewer
Review source: G2 invite
Incentivized Review

I use OpenCV for computer vision software prototypes in a research setting

OpenCV is a powerful computer vision toolkit that allowed me to quickly try computer vision concepts and algorithms hands-on. I was able to quickly ramp up my CV expertise as well as expand the possibilities of my interactive prototypes by using this well designed toolkit. I've been able to build interactive tabletops, kinect-based gesture interfaces, as well as simple image manipulation algorithms using this toolkit.
Ben L.
BL
Ben L.
Founder, Product Development, User Experience, & Mobile Apps
12/12/2017
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Using OpenCV with node.js is a great solution for high level computer vision tasks.

We've used OpenCV on a handful of projects. For each one, we've been able to accomplish a difficult Computer Vision (CV) task with relatively little engineering effort. This doesn't mean it hasn't taken any work, but that it's taken significantly less work and expertise than building a custom solution. Using OpenCV with an adapter like Cylon to a high-level language allows for rapid prototyping of ideas that include or rely on CV.

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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