Python OpenCV Cheat Sheet
Q1.How do people use OpenCV?
OpenCV is a powerful library for computer vision and image processing. It can be used for a wide variety of tasks, including:
- Face detection and recognition
- Object tracking
- Image segmentation
- Video analysis
- Medical imaging
- Industrial automation
- Robotics
Q2.What are the benefits of using a Python OpenCV cheat sheet?
A Python OpenCV cheat sheet can be a valuable resource for anyone who uses OpenCV. It can help you to quickly look up the syntax for different functions, as well as learn about the different features of the library.
Q3.What is a real-life example of Python OpenCV?
One real-life example of Python OpenCV is the Face Recognition API: https://github.com/ageitgey/face_recognition by Adrian Rosebrock. This API allows you to identify faces in images and videos using OpenCV.
Python OpenCV Cheat Sheet
The Python OpenCV Cheat Sheet is your complete guide to mastering computer vision and image processing using Python. It’s designed to be your trusty companion, helping you quickly understand the important ideas, functions, and techniques in the OpenCV library. Whether you’re an experienced developer needing a quick reminder or a newcomer excited to start, this cheat sheet has got you covered.
In this article, we’ve gathered all the vital OpenCV concepts and explained them in simple terms. We’ve also provided practical examples to make things even clearer. You’ll learn everything from how to handle images to using advanced filters, spotting objects, and even exploring facial recognition. It’s all here to help you on your journey of discovering the amazing world of computer vision.
Table of Content
- Python OpenCV Cheat Sheet 2023
- Core Operations
- Drawing Shapes and Text on Images
- Arithmetic Operations on Images
- Morphological Operations on Images
- Geometric Transformations on Image
- Image Thresholding
- Edge/Line Detection (Features)
- Image Pyramids
- Changing the Colorspace of Images
- Smoothing Images
- Working With Videos
- Camera Calibration and 3D Reconstruction