Resizing images in Computer Vision - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to resize the image to 100x100 pixels using OpenCV.

Computer Vision

resized_image = cv2.resize(image, ([1], [1]))

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A200

B50

C100

D150

Attempts:

3 left

💡 Hint

Common Mistakes

Using a single integer instead of a tuple for size.

Swapping width and height values.

The code resizes the image to 100 pixels width and height using cv2.resize.

2fill in blank

medium

Complete the code to resize the image by half using the scale factors.

Computer Vision

resized_image = cv2.resize(image, None, fx=[1], fy=[1])

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A0.5

B1.5

C0.25

D2.0

Attempts:

3 left

💡 Hint

Common Mistakes

Using scale factors greater than 1 to reduce size.

Confusing fx and fy values.

Setting fx and fy to 0.5 scales the image down to half its original size.

3fill in blank

hard

Fix the error in the code to resize the image to 300x300 pixels.

Computer Vision

resized_image = cv2.resize(image, [1])

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A[300, 300]

B(300, 300)

C300, 300

D{300, 300}

Attempts:

3 left

💡 Hint

Common Mistakes

Using a list instead of a tuple for size.

Passing separate arguments instead of a tuple.

The size parameter must be a tuple (width, height). Using a list or other types causes errors.

4fill in blank

hard

Fill both blanks to resize the image to double its size using scale factors.

Computer Vision

resized_image = cv2.resize(image, None, fx=[1], fy=[2])

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A2.0

B0.5

C1.0

D3.0

Attempts:

3 left

💡 Hint

Common Mistakes

Using different scale factors for fx and fy causing distortion.

Using scale factors less than 1 to enlarge the image.

Setting both fx and fy to 2.0 doubles the width and height of the image.

5fill in blank

hard

Fill all three blanks to create a resized image dictionary with keys as sizes and values as resized images.

Computer Vision

resized_images = [1](size: cv2.resize(image, size) for size in [2])
print(len(resized_images) == [3])

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Adict

B[(50, 50), (100, 100), (150, 150)]

C3

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using list comprehension instead of dict comprehension.

Mismatching the number of sizes and dictionary length.

This code creates a dictionary where each key is a size tuple and the value is the resized image. The list contains three sizes, so the dictionary length is 3.