Image inpainting concept in Computer Vision - 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]('input.jpg')

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Aimshow

Bresize

Cimwrite

Dimread

Attempts:

3 left

💡 Hint

Common Mistakes

Using cv2.imshow instead of cv2.imread

Trying to write the image instead of reading it

The cv2.imread function loads an image from a file into memory.

2fill in blank

medium

Complete the code to create a mask for the inpainting process.

Computer Vision

import numpy as np
mask = np.zeros(image.shape[:2], dtype=[1])

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Afloat32

Buint8

Cbool

Dint32

Attempts:

3 left

💡 Hint

Common Mistakes

Using float32 which is not accepted as mask type

Using bool which may cause errors in OpenCV

The mask for inpainting is usually an 8-bit unsigned integer array where non-zero pixels mark areas to inpaint.

3fill in blank

hard

Fix the error in the inpainting function call to use the correct method.

Computer Vision

result = cv2.inpaint(image, mask, 3, [1])

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Acv2.INPAINT_TELEA

Bcv2.INPAINT_NS

Ccv2.INPAINT_FAST

Dcv2.INPAINT_BASIC

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-existent constants like INPAINT_FAST or INPAINT_BASIC

Using INPAINT_NS which is another method but less common

cv2.INPAINT_TELEA is a common and effective inpainting algorithm provided by OpenCV.

4fill in blank

hard

Fill both blanks to create a mask where pixels with value 0 are marked for inpainting.

Computer Vision

mask = np.where(image_gray [1] 0, [2], 0).astype(np.uint8)

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A==

B255

C1

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' instead of '=='

Setting mask pixels to 1 instead of 255

This code marks pixels equal to 0 in the grayscale image with 255 in the mask, indicating areas to inpaint.

5fill in blank

hard

Fill all three blanks to apply inpainting and display the result using OpenCV.

Computer Vision

result = cv2.inpaint([1], [2], 3, [3])
cv2.imshow('Inpainted Image', result)
cv2.waitKey(0)
cv2.destroyAllWindows()

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Aimage

Bmask

Ccv2.INPAINT_TELEA

Dcv2.INPAINT_NS

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping image and mask arguments

Using wrong inpainting method constant

The cv2.inpaint function requires the original image, the mask, and the inpainting method (here INPAINT_TELEA).