[Solved] What is wrong with this code?import numpy as np from scipy.ndimage import gaussian_filter img = np.array([[1, 2], [3, 4]]) result = gaussian_filter(img, sigma=1, mode='invalid') print(result) | SciPy

SciPy - Image Processing (scipy.ndimage)

What is wrong with this code?

import numpy as np
from scipy.ndimage import gaussian_filter

img = np.array([[1, 2], [3, 4]])
result = gaussian_filter(img, sigma=1, mode='invalid')
print(result)

Aimg must be 3D array

Bsigma must be greater than 1

Cmode='invalid' is not a valid mode option

Dgaussian_filter requires kernel size parameter

Step-by-Step Solution

Solution:

Step 1: Check mode parameter validity
The mode parameter controls how borders are handled. Valid options include 'reflect', 'constant', 'nearest', 'mirror', 'wrap'. 'invalid' is not valid and will cause an error.
Step 2: Verify other parameters
Sigma can be any positive number. The input can be 2D. Kernel size is inferred from sigma.
Final Answer:
mode='invalid' is not a valid mode option -> Option C
Quick Check:
Invalid mode parameter = C [OK]

Quick Trick: Use valid mode strings like 'reflect' or 'constant' [OK]

Common Mistakes:

Using invalid mode strings
Thinking sigma must be >1
Assuming input must be 3D

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What is wrong with this code?

Step 1: Check mode parameter validity

Step 2: Verify other parameters

Final Answer:

Quick Check:

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