What computer vision encompasses - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load an image using OpenCV.

Computer Vision

import cv2
image = cv2.[1]('image.jpg')

Drag options to blanks, or click blank then click option'

Aresize

Bimshow

Cimwrite

Dimread

Attempts:

3 left

💡 Hint

Common Mistakes

Using imshow instead of imread

Using imwrite which saves images

The function imread loads an image from a file into memory.

2fill in blank

medium

Complete the code to convert an image to grayscale.

Computer Vision

gray_image = cv2.cvtColor(image, [1])

Drag options to blanks, or click blank then click option'

Acv2.COLOR_BGR2RGB

Bcv2.COLOR_RGB2BGR

Ccv2.COLOR_BGR2GRAY

Dcv2.COLOR_GRAY2BGR

Attempts:

3 left

💡 Hint

Common Mistakes

Using COLOR_BGR2RGB which changes color space but not to grayscale

cv2.COLOR_BGR2GRAY converts a color image to grayscale.

3fill in blank

hard

Fix the error in the code to detect edges using Canny.

Computer Vision

edges = cv2.Canny(image, [1], 100)

Drag options to blanks, or click blank then click option'

A50

B'50'

Cimage

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Passing threshold as a string

Passing None or image instead of a number

The first threshold for the Canny edge detector must be a number, not a string or None.

4fill in blank

hard

Fill both blanks to create a dictionary of image sizes for images with width greater than 100.

Computer Vision

sizes = {img: (img.shape[[1]], img.shape[[2]]) for img in images if img.shape[1] > 100}

Drag options to blanks, or click blank then click option'

A0

B1

C2

D3

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping height and width indices

Using invalid indices like 3

In OpenCV images, shape[1] is width and shape[0] is height.

5fill in blank

hard

Fill all three blanks to filter images by height and create a dictionary of their shapes.

Computer Vision

filtered = {img: img.shape for img in images if img.shape[[1]] [2] [3]

Drag options to blanks, or click blank then click option'

A0

B>

C200

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using width index 1 instead of height 0

Using '<' instead of '>'

Using wrong threshold value

This code filters images with height greater than 200 pixels and stores their shapes.