OpenCV (full name is Open Source Computer Vision Library) is an open source computer vision library, initiated and developed by Intel Corporation, supporting multiple programming languages (such as C++, Python, Java, etc.), aiming at research and development in the field of computer vision and applications provide a common set of tools and algorithms.
What is OpenCV and what does it do?
OpenCV can be used to process digital image and video data, and its functions include image and video reading, writing, display, transformation, filtering, feature extraction, target detection, face recognition, object tracking, camera calibration, 3D reconstruction, machine study etc.
Today, computer vision plays an important role in various application fields, such as automatic driving, smart home, medical imaging, robot vision, etc., and OpenCV, as one of the important tools in the field of computer vision, provides Rich functions and algorithm support.
Originally developed by Intel, OpenCV has become an open source project, and its source code is freely available and usable. OpenCV provides many algorithms and tools commonly used in computer vision, such as:
- Read and save image and video data
- Image and video display, scaling, shearing, and rotating operations
- Image processing techniques such as histogram equalization, image filtering, and morphological operations
- Feature extraction and descriptor matching algorithms, such as SIFT and SURF, etc.
- Object detection and tracking algorithms, such as Haar Cascade and MeanShift, etc.
- Face detection and recognition algorithms, such as LBPH and FisherFace, etc.
- Camera calibration and 3D reconstruction algorithms, such as SfM and PnP, etc.
- Machine learning algorithms, such as SVM, KNN, and random forest, etc.
In addition to the above functions, OpenCV also has an important feature of cross-platform, which can run on Windows, Linux, macOS and other operating systems, and supports multiple programming languages, such as C++, Python and Java.
In short, as a powerful computer vision library, OpenCV can save developers a lot of time and energy and improve development efficiency and accuracy in the process of implementing computer vision applications. Therefore, it is welcomed and used by developers.
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