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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function is used to blur an image in OpenCV?
💡 Hint: Think of the name that involves a curve.
Question 2
Easy
What is meant by kernel size in the GaussianBlur function?
💡 Hint: It's like the size of a window for blurring.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of using Gaussian blur?
💡 Hint: Think about the effects of blurring on an image.
Question 2
True or False: A larger kernel in GaussianBlur means more detail is retained.
💡 Hint: Consider the relationship between kernel size and detail.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You want to blur an image using GaussianBlur. Written in code, how would you implement this for an image named 'photo.jpg' with a kernel size of (7, 7)?
💡 Hint: Remember to load the image first before applying the blur.
Question 2
Describe how changing both the kernel size and sigmaX in the GaussianBlur function affects the resulting image. Provide an example.
💡 Hint: Think about the relationships between kernel size and pixel averaging.
Challenge and get performance evaluation