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OpenCV

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4.5
Serving customers since
2000

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OpenCV Reviews

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Anuj S.
11/12/2018
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Review source: Seller invite

Best libraries around for computer vision.

Supports languages like C++, python. The in built functions help in a big way in implementing real time pedestrian tracking system. Powerful to support in real-time.
Verified User in Information Technology and Services
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Verified User in Information Technology and Services
09/13/2018
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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, 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.
Saurabh Y.
SY
Saurabh Y.
Senior Software Engineer at Paytm
08/13/2018
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Review source: Seller invite

This is how you start Learning about Image Processing

C libraries provided for Free to start with the POC, on top of which you can build a product. The whole documentation is provided on the dedicated site with examples. The examples provided are in different languages including C, C++, Python, Objective-C, etc. Most of the problems faced while integration do already have answers present and examples are provided for the same.

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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