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OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV provides a common infrastructure for computer vision applications.
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
- extract 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
OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Take a look at OpenCV.
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
- extract 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
OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Take a look at OpenCV.
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