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Before contributing to CPython, you need to sign the PSF Contributor Agreement. In this short post, I explain what the CLA is, how to sign it, and how the approval process works, step by step.

Learn how OpenCV-Python bindings are generated from C++ headers. We cover CV_EXPORTS_W, CV_WRAP, and other macros, plus the gen2.py generator and hdr_parser.py header parser scripts.

Learn to setup OpenCV-Python in Windows. Covers quick installation from prebuilt binaries and building from source using CMake and Visual Studio.

The need for pagination arose from the sheer volume of data. If all data were displayed on a single page, the page would load slowly, users would have to wait a long time, the server would be overloaded, and the design would look poor.

Learn to setup OpenCV-Python in Fedora using pre-built binaries or building from source. Includes CMake configuration, GCC setup, optional dependencies like TBB and Eigen.

Learn to setup OpenCV-Python in Ubuntu using two methods: installing from pre-built binaries or compiling from source. Step-by-step guide tested on Ubuntu 16.04 and 18.04.

The recommended way for most users to get OpenCV in Python: install from PyPI with pip. Covers virtual environments, platform notes, PyPI package variants, and common troubleshooting.

Learn to use Haar Cascade classifiers in OpenCV for face and eye detection. This tutorial covers the theory behind Haar features, integral images, AdaBoost, and cascade classifiers.