Mamdasn/im2dhisteq is an open source project licensed under MIT License which is an OSI approved license.
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This small piece of code is intended to help researchers, especially in field of image processing, to easily calculate two dimensional histogram of a given image.
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This module attempts to enhance contrast of a given image by employing a method called HBLPCE.
A comparison of a numba-less version and numba-flavored version of the same code base.
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Using numba, my code now runs faster by about 20 times 😲
reddit.com/r/Python | 2021-05-04
For more information refer to the article I linked in this page: https://github.com/Mamdasn/im2dhisteq
Using numba my code runs faster by about 20 times 😲
reddit.com/r/learnpython | 2021-05-04
I recently added im2dhisteq to my repository and because it was very slow, I searched for a new way to make my code run faster, as I was already using numpy built-in functions and there were no (at least easy) other way to optimize the code using just numpy. I recently found out about Numba, which is advertised to run my codes 1000 times faster, but as I later found out the degree of that is actually very dependant on your code. After reading through their website and through a long series of trials and erros I learned how to write a code that is Numba-friendly and is satisfyingly faster than my base code. website of Numba: Numba Proof: My code: https://github.com/Mamdasn/im2dhisteq In my repository, in addition to the Numba-flavord versions, I released the Numba-less versions, which are accessible here: im2dhisteq and imhist. You can check them out and compare them to come to a base understanding of how Numba-friendly codes looks like.
Enhance Images From 💩 to 🔥
reddit.com/r/programming | 2021-05-04
Enhance Images, From 💩 to 🔥
reddit.com/r/Python | 2021-05-03
Code is here: Two Dimensional Image Contrast Enhancement