Skip to main content

A Python command line interface tool for theming .svg files using user-provided images.

Project description

pyflagoras

🏳️‍🌈 A Python command line interface tool for theming .svg files using user-provided images. The program accepts any image file, an .svg file and outputs the flag as a .png file.

https://github.com/phthallo/pyflagoras/assets/84078890/8927779e-5e1c-411e-9d14-6bf1bdb8396d

(To see more examples of flags generated using this program, visit examples.md!)

How does it work?

Pyflagoras, at a minimum, needs the name of a pride flag, or a path to an .svg, and a path to an image to work.

It uses Pillow to generate a list of colours in the image.

The program then obtains the flag's .svg file from the alias used, and extracts the all the colours used in the flag. It uses an algorithm to calculate which colours are the most similar based on their RGB codes.

Finally, the colours are swapped out. The .svg is converted into a .pdf using svglib then into a .png using PyMuPDF.

tl;dr - if you ever wanted the Slack logo to have the same colours as a cool photo you took you absolutely can.

Installation

You can install this package from pypi.org! Open a terminal and run the following:

pip install pyflagoras

Usage

$ pyflagoras --help
usage: pyflagoras [-h] [-f FLAG] [-n NAME] [-a {low_cost,pythagoras,cielab}] [--verbose] [--svg]
                  [--highlight] [--version] [-l]
                  image

A command line interface tool for theming .svg files using user-provided images.

positional arguments:
  image                 Path to the image to generate a flag from.
                        Examples:
                            image.png
                            foo/bar/image.jpg

options:
  -h, --help            show this help message and exit
  -f FLAG, --flag FLAG  The alias of the flag to generate OR path to a custom .svg file.
                        Examples:
                            intersexinclusive
                            /foo/bar/file.svg
                        Default:
                            progresspride
  -o OUTPUT, --output OUTPUT  
                        Customise the name of the final .png. The following can be used as part of the file name:
                        Format placeholders:
                            {n}: File name (e.g celeste_classic)
                            {N}: File name (full) (e.g celeste_classic.png)
                            {f}: Flag name (e.g Progress Pride) [N/A for custom .svg]
                            {F}: Flag ID (e.g progressPride_2018) [N/A for custom .svg]
                        Examples:
                            pyflagoras celeste_classic.png -n "{f}_{n}" [renders Progress Pride_celeste_classic.png]
                        Default:
                            {n}_{F} [renders celeste_classic_progressPride_2018.png]

  -a {low_cost,pythagoras,cielab}, --algorithm {low_cost,pythagoras,cielab}
                        Change the algorithm used to determine colour similarity.
  --verbose             Enable verbosity (for general info and debugging)
  --svg                 Generate the flag's .svg file in addition to the .png
  --highlight           Generate an image to highlight where the similar colours were found.
  --version             show the program's version number and exit
  -l, --list            show all flag aliases and exit

Tip:

[!TIP]

  • Using --verbose will log the coordinates of where the colours were found on your image!
  • in terms of colour similarity, cielab and low_cost produce the best results.

Development

Substitute py for python3 as necessary.

  1. Clone the repository.
    git clone https://github.com/phthallo/pyflagoras
    
  2. Install the build tool.
    py -m pip install --upgrade build
    
  3. cd to the root of the repository and build the package.
    py -m build
    
  4. Both the source distribution (pyflagoras-x.x.x-tar.gz) and the built distribution (pyflagoras-x.x.x-py3-none-any.whl) will be found under the /dist subdirectory. You can then install the wheel using:
    py -m pip install dist/pyflagoras-x.x.x-py3-none-any.whl
    
  5. To preview your changes without having to build, run the following to install Pyflagoras in editable mode.
    py -m pip install -e .
    

Contributions

The current 'pre-loaded' .svg files are pride flags! They have been sourced from @/JoeHart's Pride Flag API.

To add a new flag, see addingflags.md.

Notes

  • The name pyflagoras comes from python, pride flag, and the basic colour similarity algorithm being a 3D application of Pythagoras' theorem.
  • See also the prideflagbot account (gone but not forgotten!) run by @/michalpazur, which was a big inspiration for this project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyflagoras-0.5.4.tar.gz (21.7 kB view details)

Uploaded Source

Built Distribution

pyflagoras-0.5.4-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file pyflagoras-0.5.4.tar.gz.

File metadata

  • Download URL: pyflagoras-0.5.4.tar.gz
  • Upload date:
  • Size: 21.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pyflagoras-0.5.4.tar.gz
Algorithm Hash digest
SHA256 4e35b3dedaf5e7b2de057c7d8925fa3ba008972f70d06ea6247cad1ba912b027
MD5 cda02fc4997938e5e542e2c48d6e928a
BLAKE2b-256 921024b5ef72739fab201c91c6f7db3a44ca02c8f60442273456b5ab5040c084

See more details on using hashes here.

File details

Details for the file pyflagoras-0.5.4-py3-none-any.whl.

File metadata

  • Download URL: pyflagoras-0.5.4-py3-none-any.whl
  • Upload date:
  • Size: 30.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pyflagoras-0.5.4-py3-none-any.whl
Algorithm Hash digest
SHA256 7506f1ccb669f2343df0c2018dacd85243fa1264a5d5e3e5b757a650cda30759
MD5 405d650f7909f24e87d37c6c3565c8d2
BLAKE2b-256 2112c6b9ea89c2c6a74ec60e5bc8773ba6bc28f213682eda233cc9b4421140a8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page