What is opencv-basics?

OpenCV Basics is a collection of beginner-friendly Python scripts for learning the fundamentals of computer vision using the OpenCV library. OpenCV (Open Source Computer Vision) is one of the most widely used tools for processing images and video with code, and this repository provides twelve self-contained scripts that each demonstrate a specific concept. The scripts cover a range of core tasks: reading, displaying, and saving images, resizing and cropping, flipping an image along horizontal or vertical axes, drawing shapes and text overlays on images, splitting and visualizing individual color channels (OpenCV works in BGR color order rather than the more familiar RGB), playing back video files frame by frame, recording video from a webcam, and drawing shapes in real time on a live webcam feed. One of the more interactive scripts is a mouse-based cropping tool that lets you drag to select a region of an image. Each script is independent, so you can run any one of them directly after installing the two dependencies, OpenCV and NumPy (a Python library for numerical operations on arrays). The repository includes a sample image used across the scripts, so the examples work immediately without needing your own images. You would use this as a learning resource if you are new to computer vision and want hands-on practice with image and video manipulation in Python. It is also a useful reference if you need a quick working example of a specific OpenCV operation like webcam capture or shape drawing. Built with Python 3, OpenCV 4, and NumPy. Licensed under MIT.