Command-Line program that takes images and produces the copy of the image with a thin frame and palette made of the 10 most frequent colors.

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Command-line paleatra
Overview

paleatra v.0.0.1

Command-Line program that takes an image and produces the copy of the image with a thin frame and palette made of the 10 most frequent colors.

How it works

Currently, the program can be used only through the command line. However, the next step will be to implement a Graphical User Interface to opening image and indicating where to save

You have to clone the repo on your local machine and run cargo with two arguments:

  • path to the original file.
  • path where to store the copy of it.

Both paths should include file name and extension. The extension should be of image type (e.i jpg, png, etc.)

Example:

cargo run img/rickmorty.jpg img/results/rickmorty_cpy.jpg

output:

rickmorty

You can check other examples in the img/results

TODO

  • Launch alpha version

  • Write automated tests

  • Expend program to take number of palette boxes as argument

  • Create a GUI for the program

  • Give option to have palette appended below, right, left, or top of the original image

  • Add new features

Follow Me on Social Media

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Repo is distributed under the MIT license. Please see the LICENSE for more information.

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Comments
  • Iterator-based paint_palette

    Iterator-based paint_palette

    There’s a lot of boilerplate because Rust lacks some nice functional features I would use in Haskell, but at least it’s flat and with descriptive names for every step.

    opened by natewind 3
  • Abstract palette (#8)

    Abstract palette (#8)

    • abstracted palette

    • added palette painting method to framedPicture

    • documentation

    • added logo

    • added logo

    • updated tests

    • palette can be place on top or bottom

    • documentation to the helper function

    • ssh test

    • image

    opened by bexxmodd 0
Owner
Beka Modebadze
I solve problems using data and technology. Master's candidate in Comp Sci @ UPenn
Beka Modebadze
GitHub
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