Create gaussian blur algorithm (hacktoberfest)

[LuisOfL]

Describe your change:

• Add an algorithm?
• Fix a bug or typo in an existing algorithm?
• Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
• Documentation change?

Checklist:

• I have read CONTRIBUTING.md.
• This pull request is all my own work -- I have not plagiarized.
• I know that pull requests will not be merged if they fail the automated tests.
• This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
• All new Python files are placed inside an existing directory.
• All filenames are in all lowercase characters with no spaces or dashes.
• All functions and variable names follow Python naming conventions.
• All function parameters and return values are annotated with Python type hints.
• All functions have doctests that pass the automated testing.
• All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
• If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

[algorithms-keeper]

Click here to look at the relevant links ⬇️

🔗 Relevant Links

Repository:

• Contributing guidelines
• Project Euler solution guidelines

Python:

• Formatted string literals (f-strings)
• Type hints
• doctest
• unittest
• pytest

Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.

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[algorithms-keeper]

As there is no test file in this pull request nor any test function or class in the file computer_vision/gaussian_blur.py, please provide doctest for the function gaussian_kernel

Please provide return type hint for the function: gaussian_kernel. If the function does not return a value, please provide the type hint as: def function() -> None:

Please provide type hint for the parameter: size

Please provide type hint for the parameter: sigma

[algorithms-keeper]

As there is no test file in this pull request nor any test function or class in the file computer_vision/gaussian_blur.py, please provide doctest for the function apply_gaussian_blur

Please provide return type hint for the function: apply_gaussian_blur. If the function does not return a value, please provide the type hint as: def function() -> None:

Please provide type hint for the parameter: image

Please provide type hint for the parameter: kernel