![]() Then you can install all the important tools and libraries needed for OpenCV (installation takes a few minutes). Even on a Raspberry Pi B + compiling takes about 6 times as long, with a Pi 2 in total “only” takes about an hour.įirst of all, we update the package lists: sudo apt - get update & sudo apt - get upgrade & sudo rpi - updateĪ reboot is necessary if it has been updated. This advanced tutorial shows how to install OpenCV on the Raspberry Pi and how to integrate it into Python.įor the time being, I would like to recommend everyone a Raspberry Pi Model B to use, because this is a lot more powerful than its predecessor. In addition, OpenCV (Open Source Computer Vision) can be integrated into both its C ++ files and its Python scripts.Įspecially in terms of feature recognition in images taken by the Raspberry Pi, OpenCV is very helpful. It provides many very useful features such as face recognition, the creation of depth maps (stereo vision, optical flow), text recognition or even for machine learning. ![]() Anyone who has dealt with image processing in relation to the Raspberry Pi will sooner or later come across the OpenCV library.
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