OPenCV

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The currently updated software is written in C++. It is also available in full OPenCV Python and Java interface that supports Windows, Linux, Mac OS, iOS and Android.

The OpenCV was designed for computational efficiency and with a strong focus on real-time applications. OpenCV leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDA and OpenCL interfaces are being actively developed right now. There are over 2500 algorithms and about 10 times as many functions that compose or support those algorithms. OpenCV is written natively in C++ and has a templated interface that works seamlessly with STL containers.

opencv

OpenCV library supports:

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  • Real-time capture.
  • Video file import.
  • Object detection.
  • Basic image treatment: brightness, contrast, threshold.
  • Blob detection

OpenCV highlights

Global Acceptance among Professionals

Adopted all around the world, OpenCV has more than 47 thousand users community and the estimated number of downloads exceeding 14 million. Usage ranges from interactive art to mines inspection, stitching maps on the web or through advanced robotics.

Machine Learning Library

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, It makes it easy for businesses to utilize and modify the code.

opencv vision

The OpenCV lets you perform data, image and other data structures and at the same time work on matrices and vectors. The program lets you work on images so you can allocate and release them, read and write images, access image elements convert them and perform drawing commands.

Wide Algorithm

The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, abstract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.

You may wonder by reading that AI can predict your personality by scanning your eyes.

Supports multiple platforms

Open CV has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android, and Mac OS. It leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDA and OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. Open CV is written natively in C++ and has a templated interface that works seamlessly with STL containers.

Conclusion: OpenCV has more than 47 thousand people of the user community and the estimated number of downloads exceeding 14 million. The library is used extensively in companies, research groups, and governmental bodies.

opencv download

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