Inspiration
Obamafy but with more use cases
What it does
Have a reference picture and take the gray scale of that, and take the input picture and chop it up to however big the chunks are defined. Then gray scale average each chunk to sort them according to the reference (ordered list/array matching lowest to highest). Then, convert the grayscale output back into RGB by matching their original pixel position to recolor. The code can execute multiple chunk sizes with one run and generate a slide show of it transforming with mathplot.
How we built it
Python with pillow and matplotlib library
Compress/increase image to 512 by 512 pixel square image.
Challenges we ran into
I dont know how to build fullstack
Accomplishments that we're proud of
To bring people closer with relatable shitpost
To try out looks before permanent body modification with shape shifting
To improve security and trust with a new encryption
Join me on this journey!
What we learned
To have rizz
To make the world a better place
What's next for Chunky Bits: Chopped and segregates pixels
Make it more user friendly instead of just a python file
Let it:
Become shitpost template
Replace cosmetic surgery
Become an encryption standard
Find code here: [https://github.com/LeviLives/Chunky-Bits.git]
Find Slideshow here: [https://docs.google.com/presentation/d/1wjaZtj2E7eJLSAo2WA07ytD20O5mPcQX08oFYEwdVWU/edit?usp=sharing]
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