Introduction - ( OpenCV Tutorial )
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Syntax
import cv2
Example
import cv2
# read an image from file
img = cv2.imread('image.jpg')
# show the image in a window
cv2.imshow('Image', img)
# wait for a keystroke
cv2.waitKey(0)
# destroy all windows
cv2.destroyAllWindows()
Output
The output of the above code will display the image in a new window and wait for a keystroke. Once a keystroke is detected, all windows will be destroyed.
Explanation
OpenCV (Open Source Computer Vision Library) is a popular open-source computer vision and machine learning software library that provides various image processing and computer vision algorithms. It is written in C++ and also has a Python interface for performing image processing and computer vision tasks.
In the above example, we import OpenCV in Python, read an image from file using the cv2.imread()
function, display the image in a window using the cv2.imshow()
function, wait for a keystroke using the cv2.waitKey()
function, and finally, destroy all windows using the cv2.destroyAllWindows()
function.
Use
OpenCV is widely used in various computer vision and image processing applications such as object detection, facial recognition, image segmentation, and more. It can be used in both research and production environments and is compatible with various programming languages such as C++, Python, and Java.
Important Points
- OpenCV is an open-source computer vision and machine learning software library
- It provides various image processing and computer vision algorithms
- OpenCV can be used in both research and production environments
- The library is compatible with various programming languages such as C++, Python, and Java
Summary
In conclusion, OpenCV is a powerful computer vision and image processing library that provides various algorithms and functions for performing image analysis and machine learning tasks. OpenCV is widely used in various research and production environments and can be used with various programming languages such as C++, Python, and Java.