Why edge deployment enables real-time CV in Computer Vision - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load an image for real-time processing on an edge device.

Computer Vision

import cv2
image = cv2.imread([1])

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

A'image.jpg'

Bimage.jpg

Cload_image

Dcv2.image

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting quotes around the filename

Using a variable name without defining it

The cv2.imread function requires the image file path as a string, so it must be enclosed in quotes.

2fill in blank

medium

Complete the code to convert the image to grayscale for faster edge processing.

Computer Vision

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

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

Acv2.COLOR_BGR2RGB

Bcv2.COLOR_BGR2GRAY

Ccv2.COLOR_RGB2GRAY

Dcv2.COLOR_GRAY2BGR

Attempts:

3 left

💡 Hint

Common Mistakes

Using COLOR_BGR2RGB instead of grayscale

Using COLOR_GRAY2BGR which is reverse

To convert a BGR image to grayscale, use cv2.COLOR_BGR2GRAY.

3fill in blank

hard

Fix the error in the code to perform edge detection using Canny on the grayscale image.

Computer Vision

edges = cv2.Canny([1], 100, 200)

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

Acv2

Bimage

Cedges

Dgray_image

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the original color image

Passing the output variable itself

Canny edge detection requires a single-channel (grayscale) image, so we must use gray_image.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each pixel coordinate to its edge value if the edge value is greater than zero.

Computer Vision

edge_points = {(x, y): [1][y, x] for y in range(edges.shape[0]) for x in range(edges.shape[1]) if [2][y, x] > 0}

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

Aedges

Bgray_image

Cimage

Dedge_points

Attempts:

3 left

💡 Hint

Common Mistakes

Using grayscale image instead of edges for values

Using wrong variable names

We want to map coordinates to their edge values, so both blanks should use the edges array.

5fill in blank

hard

Fill all three blanks to create a function that runs edge detection on an input image and returns the edge points dictionary.

Computer Vision

def detect_edges([1]):
    gray = cv2.cvtColor([2], cv2.COLOR_BGR2GRAY)
    edges = cv2.Canny(gray, 50, 150)
    return {(x, y): edges[y, x] for y in range(edges.shape[0]) for x in range(edges.shape[1]) if edges[y, x] > [3]

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

Ainput_image

Bimage

C0

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names for input and processing

Checking for edges > 1 instead of 0

The function takes input_image as input, converts it to grayscale, detects edges, and returns points where edge value is greater than 0.