OpenCV Basics Tutorial

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It is designed for computational photography, real-time 3D reconstruction, object detection, and more. This tutorial will cover the basics of OpenCV, including installation, basic operations, and some common applications.

Installation

Before you start, you need to install OpenCV. You can download it from the official OpenCV website. Follow the instructions for your specific operating system.

Basic Operations

Here are some basic operations you can perform with OpenCV:

Reading an Image: Use the cv2.imread() function to read an image from a file.
```
image = cv2.imread('image.jpg')
```
Displaying an Image: Use the cv2.imshow() function to display an image in a window.
```
cv2.imshow('Image', image)
```
Saving an Image: Use the cv2.imwrite() function to save an image to a file.
```
cv2.imwrite('output.jpg', image)
```
Closing the Window: Use the cv2.destroyAllWindows() function to close all OpenCV windows.
```
cv2.destroyAllWindows()
```

Applications

OpenCV has a wide range of applications, including:

Object Detection: Detecting objects in images and videos.
Face Recognition: Recognizing faces in images and videos.
Image Processing: Applying filters and transformations to images.

Resources

For more information, you can visit the OpenCV documentation.