And more for the analysis and treatment of images through artificial intelligence algorithms. One of the most important uses of opencv in computer vision is the detection of faces and objects , especially in fields such as photography, marketing or security. If you want to discover what opencv is, how to install it in python and see a series of basic examples , i encourage you to continue reading this article. Opencv opencv and its installation in python opencv (open source computer vision) started as a research project at intel. It is currently the largest computer vision library in terms of features possessed.
Opencv currently contains implementations of over 2,500 algorithms . It is also freely available for commercial and academic purposes. This great e commerce photo editing service library has interfaces to multiple languages , including python, java, and c++. The first version of opencv, 1.0, was released in 2006 and the opencv community has grown by leaps and bounds ever since. Opencv-python is the python api for opencv. It is also compatible with the most used platforms, windows, mac os and linux. Keep in mind that in order to use this library optimally, you must have knowledge of:
numpy library matplotlib library for the installation of opencv in python there are 2 ways: from binary files and precompiled source files : for this, the relevant documentation of each operating system must be consulted (for example , windows and mac os . Through packages for standard desktop environments (windows, macos and almost any gnu/linux distribution): if only core modules are needed, run pip install opencv-python if both core and additional (contrib) modules are needed, run pip install opencv-contrib-python jupyter or any python ide can be used to write these commands. Images as arrays an image is nothing more than a