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OpenCV

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4.5
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OpenCV Reviews

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rima s.
software developer
05/29/2019
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OpenCV: optimum performce library for computer vision and image recognition

In OpenCV, I primarily like the way it effortlessly detects the objects in a live image(from a camera module); image recognition is what I find quite better in OpenCV. Another feature of OpenCV is Color masking ad colour tracking, which I use a lot in my one the projects for differentiation if the objects in the image. It takes very less time to detect an object with optimum accuracy in OpenCV compared to other similar libraries. As it is written in Python integration ease and performance both are high.
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Sonu S.
03/07/2019
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Best software for computer vision and image processing

Opencv is a open source computer vision library. It is developed for c++ and python. It supports windows, linux, mac, ios. This has many functions that help in image processing. It treat the image as 2D array of pixels. There are functions that changes the coloured image to gray. It helps in object and face detection, edge detection, sharpens and blurres the image etc. It is available free and it has best online support so one can easily use it and learn it. It so many methods that plays with different properties of an image or videos and changes it.
shukai c.
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shukai c.
PhD candidate in Informatics. Looking for intern position
01/15/2019
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opencv

official interface to Android java and 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