Python OpenCV Introduction

This tutorial introduces OpenCV for image and video processing, covering installation, image manipulation, and video capture. It demonstrates how to import and display images using OpenCV and Matplotlib, and how to handle video capture and writing. Advanced applications like a race timer and machine learning tasks are also discussed, showcasing OpenCV's versatility.

What is the primary purpose of using OpenCV in image processing?

• To create 3D models

• To design user interfaces

• To process and analyze images

• To develop web applications

Which command is used to install OpenCV in Python?

• pip install opencv-python

• npm install opencv

• apt-get install opencv

• brew install opencv

What is the difference between BGR and RGB color formats?

• BGR is for 3D images, RGB for 2D images

• BGR is used by OpenCV, RGB by Matplotlib

• BGR is used for videos, RGB for images

• BGR is a grayscale format, RGB is colored

How can you resize an image to half its original dimensions using OpenCV?

• By reducing pixel values by half

• By changing the color format

• By using a scaling factor of 0.5

• By setting dimensions to (0.5, 0.5)

What is a common issue when displaying images with OpenCV in Jupyter notebooks?

• Kernel crashes or hangs

• Images are too small

• Images are displayed in grayscale

• Images appear upside down

Which library is recommended for displaying images in Jupyter notebooks to avoid kernel issues?

• OpenCV

• Pandas

• NumPy

• Matplotlib

What file format is created when recording video with OpenCV?

• MP4

• AVI

• MOV

• MKV

What is the purpose of the 'waitKey' function in OpenCV video processing?

• To pause the video

• To change video resolution

• To adjust video brightness

• To wait for a key press

Which of the following is a potential application of OpenCV mentioned in the tutorial?

• Financial analysis

• Database management

• Web development

• Race timing

What advanced OpenCV technique is used for facial recognition?

• Local Binary Pattern

• Fourier Transform

• Edge Detection

• Histogram Equalization