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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function is used to convert an image to grayscale in OpenCV?
💡 Hint: Think about changing colors to shades of gray.
Question 2
Easy
How do you resize an image to 300 widths and 200 heights?
💡 Hint: What two numbers represent the new dimensions?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of converting an image to grayscale?
- To enhance colors
- To simplify image processing
- To increase detail
💡 Hint: Consider how we might make something easier to analyze.
Question 2
True or False: Blurring an image can help reduce noise.
- True
- False
💡 Hint: Think about why we blur images.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a series of images, design a Python program using OpenCV that converts each to grayscale, resizes to 150x150, and applies a Gaussian blur. Discuss potential challenges.
💡 Hint: Start with one function at a time and build your program incrementally.
Question 2
Using OpenCV, how would you create a composite image from three images using blurring and drawing? Design algorithms and provide a sample code.
💡 Hint: Layering images can often mislead. Keep track of boundaries and structure initially.
Challenge and get performance evaluation