Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Find a truck i

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Find a truck i

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial demonstrates how to manually locate a truck in an image by drawing a rectangle around it. The instructor begins by loading necessary libraries and displaying the image. The process involves specifying the top-left and bottom-right coordinates of the rectangle using OpenCV functions. The tutorial serves as a warm-up exercise before introducing more advanced techniques like template matching.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary objective of the initial exercise in the video?

To manually locate a truck in an image

To automate truck detection

To apply advanced image processing techniques

To learn about different color spaces

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is used to read and display the image in the video?

PIL

OpenCV

Matplotlib

TensorFlow

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What issue is encountered when displaying the image using OpenCV?

The image is not loaded

The image is too large

The image is blurry

The colors are reversed

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two points needed to draw a rectangle around the truck?

Top-left and center

Top-left and bottom-right

Top-right and bottom-left

Center and radius

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of specifying the thickness of the rectangle line?

To set the transparency of the rectangle

To define the visibility of the rectangle

To adjust the size of the rectangle

To change the color of the rectangle