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OpenCV

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4.5
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OpenCV Reviews

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DS
Deepak S.
Software Engineer at Tata Consultancy Services
02/09/2018
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Computer Vision Library Implemented in C++

openCV is the library for implementing computer vision algorithms using python.It provides all sorts of algorithms like color masking,color tracking,converting image to gray scale and also you can implement hand recognition using openCV with very less effort.Also it is the well known library and so you can get full support of it online.It is the best CV library for implementing CV algorithms using python.
YR
Yash R.
Software Engineer at Ance IT solutions
02/07/2018
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Computer Vision Library For C++ and Python

OpenCv was basically developed for c++ and as the world progressed they transformed the library into python library.I have used its python library to perform various computer vision applications like gesture recognition ,face recognition,color tracking,eye ball tracking and many more and I was easily able to implement those using opencv library for python.It is very simple to use and just by viewing certain examples you can easily code your requirement.
Verified User in Medical Devices
GM
Verified User in Medical Devices
02/07/2018
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Best open source image processing and computer vision library.

It is open source.That is the biggest plus point in contrast to Matlab which also has great image processing functions. I use it all the time especially when I need to to rapid prototyping with python as openCV supports 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