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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does OpenCV stand for?
💡 Hint: Think about what it means to be open-source.
Question 2
Easy
Which command is used to install OpenCV in Python?
💡 Hint: Remember, it begins with 'pip'.
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 primary function of OpenCV?
💡 Hint: What type of tasks does it mainly handle?
Question 2
True or False: OpenCV can only be used in C++.
💡 Hint: What other language is mentioned in the chapter?
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Create a Python script using OpenCV to read an image, convert it to grayscale, resize it, and then display both the original and processed images.
💡 Hint: Focus on the sequence of commands to achieve the task.
Question 2
Implement face detection in a live webcam feed using OpenCV and display rectangles around detected faces.
💡 Hint: Consider the loop needed for continuous capture and detection.
Challenge and get performance evaluation