OpenCV Tutorial in Python

Last Updated : 14 Mar, 2024

OpenCV, short for Open Source Computer Vision Library, is an open-source computer vision and machine learning software library. Originally developed by Intel, it is now maintained by a community of developers under the OpenCV Foundation.

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human. When it is integrated with various libraries, such as Numpy which is a highly optimized library for numerical operations, then the number of weapons increases in your Arsenal i.e whatever operations one can do in Numpy can be combined with OpenCV.

This OpenCV tutorial will help you learn the Image-processing from Basics to Advance, like operations on Images, Videos using a huge set of Opencv-programs and projects.
OpenCV-tutorial-python

OpenCV Tutorial with Python:

Getting Started
Working with Images

Getting Started
Image Processing
Feature Detection and Description
Drawing Functions

Working with Videos

Getting Started
Video Processing

Applications and Projects

Recent Articles on OpenCV !!

Getting Started

Working with Images

Getting Started

Image Processing

Feature Detection and Description

Drawing Functions

Working with Videos

Getting Started

Play a video using OpenCV

Video Processing

Applications and Projects

GeeksforGeeks

Improve

What is OpenCV Library?

Similar Reads

OpenCV - Facial Landmarks and Face Detection using dlib and OpenCV

Content has been removed on Author's request.

Transition from OpenCV 2 to OpenCV 3.x

OpenCV is one of the most popular and most used Computer vision libraries. It contains tools to carry out image and video processing. When OpenCV 3..4.1 is an improved version of OpenCV 2.4 as it introduced new algorithms and features. Although some of the existing modules were rewritten and moved to sub-modules. In this articles, I will focus on t

Top Books for Learning OpenCV: Computer Vision with OpenCV Library

OpenCV or Open Source Computer Vision Library, is an open-source computer vision and machine learning software library. It's extensively used for real-time computer vision tasks such as object detection, face recognition, image processing, etc. Whether you're a beginner or an experienced developer looking to deepen your understanding of OpenCV, her

Automatic Document Scanner using OpenCV (OpenCV Document Scanner)

An automatic document scanner using OpenCV is a computer vision application that automatically detects and extracts documents from images. This type of scanner can be useful in various scenarios, such as digitizing paper documents, processing scanned documents, or automating document recognition tasks. In this article, we will see how we can build

Setting up ROS with Python 3 and Python OpenCV

Setting up a Robot Operating System (ROS) with Python 3 and OpenCV can be a powerful combination for robotics development, enabling you to leverage ROS's robotics middleware with the flexibility and ease of Python programming language along with the computer vision capabilities provided by OpenCV. Here's a step-by-step guide to help you set up ROS

OpenCV Python Program to blur an image

Note: This post contains codes that cannot be run using an online compiler. Please make sure that you have Python 2.7 and cv2 module installed before trying to run the program on your system. Hi everyone! I read a brilliant work by Aditya Prakash – OpenCV C++ Program to blur an image, so I decided to come up with something similar but this time in

Opencv Python program for Face Detection

The objective of the program given is to detect object of interest(face) in real time and to keep tracking of the same object.This is a simple example of how to detect face in Python. You can try to use training samples of any other object of your choice to be detected by training the classifier on required objects. Here is the steps to download th

Real-Time Edge Detection using OpenCV in Python | Canny edge detection method

Edge detection is one of the fundamental image-processing tasks used in various Computer Vision tasks to identify the boundary or sharp changes in the pixel intensity. It plays a crucial role in object detection, image segmentation and feature extraction from the image. In Real-time edge detection, the image frame coming from a live webcam or video

Addition and Blending of images using OpenCV in Python

When we talk about images, we know its all about the matrix either binary image(0, 1), gray scale image(0-255) or RGB image(255 255 255). So additions of the image is adding the numbers of two matrices. In OpenCV, we have a command cv2.add() to add the images. Below is code for Addition of two images using OpenCV : # Python program for adding # ima

Reading an image in OpenCV using Python

Prerequisite: Basics of OpenCV In this article, we'll try to open an image by using OpenCV (Open Source Computer Vision) library. Following types of files are supported in OpenCV library: Windows bitmaps - *.bmp, *.dibJPEG files - *.jpeg, *.jpgPortable Network Graphics - *.png WebP - *.webp Sun rasters - *.sr, *.ras TIFF files - *.tiff, *.tif Raste

Article Tags :

Practice Tags :

python