Preface
This article is the first of this column. I will continue to share the practical knowledge of OpenCV computer vision later, so remember to pay attention.
OpenCV is a cross-platform computer vision library based on an open source license . Initially, OpenCV was developed by Intel and was later maintained by a non-profit organization. When it comes to OpenCV, we have to say that it provides a large number of image and video processing functions, making the research and application of computer vision easier and more efficient.
This article will introduce in detail the basic knowledge points and basic uses of OpenCV.
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In general, OpenCV is a very powerful and flexible computer vision library that can be applied to a variety of different scenarios, such as image processing, image analysis, target detection, face recognition, three-dimensional reconstruction, etc. OpenCV provides a wealth of image processing functions and algorithms, which can help developers quickly implement various image processing tasks.
1. Functions and features
For OpenCV, let’s first briefly understand its functions and features. You should know that the OpenCV library contains a large number of image and video processing functions and can be used for various computer vision tasks, for example:
1. Target detection and recognition : including face detection, object detection, target tracking, posture estimation, etc.;
2.