The Wayback Machine - https://web.archive.org/web/20250304080954/https://www.geeksforgeeks.org/opencv-python-tutorial/

OpenCV Tutorial in Python

Last Updated : 07 Nov, 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

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 Image-processing from Basics to advanced, like operations on Images and videos using a huge set of Programs and projects.

OpenCV Tutorial in Python

OpenCV Tutorial in Python

Table of Content

1. Getting Started
2. Working with Images

2.1 Getting Started
2.2 Image Processing
2.3 Feature Detection and Description
2.4 Drawing Functions

3. Working with Videos

3.1 Getting Started
3.2 Video Processing

4. Applications and Projects
Further Learning

1. Getting Started

Learn how to set up and get started with OpenCV:

2. Working with Images

>> 2.1 Getting Started

>> 2.2 Image Processing

>> 2.3 Feature Detection and Description

>> 2.4 Drawing Functions

3. Working with Videos

>> 3.1 Getting Started

Play a video using OpenCV

>> 3.2 Video Processing

4. Applications and Projects

Further Learning

If you’re interested in more recent articles and updates on OpenCV, explore the latest content here:

Recent Articles on OpenCV !!

Level up your coding with DSA Python in 90 days! Master key algorithms, solve complex problems, and prepare for top tech interviews. Join the Three 90 Challenge—complete 90% of the course in 90 days and earn a 90% refund. Start your Python DSA journey today!

What is OpenCV Library?

abhishek1

News

Improve

Article Tags :

Practice Tags :

python

Similar Reads

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

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

OpenCV - Facial Landmarks and Face Detection using dlib and OpenCV

Content has been removed on Author's request.

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 analyze an image using Histogram

In this article, image analysis using Matplotlib and OpenCV is discussed. Let's first understand how to experiment image data with various styles and how to represent with Histogram. Prerequisites: OpenCVmatplotlibImporting image dataimport matplotlib.pyplot as plt #importing matplotlib The image should be used in a PNG file as matplotlib supports

Line detection in python with OpenCV | Houghline method

The Hough Transform is a method that is used in image processing to detect any shape, if that shape can be represented in mathematical form. It can detect the shape even if it is broken or distorted a little bit.We will see how Hough transform works for line detection using the HoughLine transform method. To apply the Houghline method, first an edg

Reading an image in OpenCV using Python

Prerequisite: Basics of OpenCVIn 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 Raster

Face Detection using Python and OpenCV with webcam

OpenCV is a Library which is used to carry out image processing using programming languages like python. This project utilizes OpenCV Library to make a Real-Time Face Detection using your webcam as a primary camera.Approach/Algorithms used for Face Detection This project uses LBPH (Local Binary Patterns Histograms) Algorithm to detect faces. It lab

Image Processing without OpenCV | Python

We know OpenCV is widely used to operate on images and has a wide spectrum of functions to do so. But what if we want to process the image files without using any external library like OpenCV. Let's see how can we do this. Image Scaling (Using Nearest Neighbour Interpolation): Nearest Neighbour interpolation is the simplest way of interpolation.