semvec/pypi-packages huggingface dataset:
kontrasto 0.1.0
🎨 Automated color contrast for text over images
License: MIT
Requires Python: >=3.6
Keywords: kontrasto,color,colour,contrast,dominant colors,accessibility,a11y,wcag,apca

# Kontrasto <img src="https://raw.githubusercontent.com/thibaudcolas/kontrasto/main/.github/kontrasto-logo.svg?sanitize=true" width="100" height="100" align="right" alt="">

[![PyPI](https://img.shields.io/pypi/v/kontrasto.svg)](https://pypi.org/project/kontrasto/) [![PyPI downloads](https://img.shields.io/pypi/dm/kontrasto.svg)](https://pypi.org/project/kontrasto/) [![Build status](https://github.com/thibaudcolas/kontrasto/workflows/CI/badge.svg)](https://github.com/thibaudcolas/kontrasto/actions) [![Coverage Status](https://coveralls.io/repos/github/thibaudcolas/kontrasto/badge.svg?branch=main)](https://coveralls.io/github/thibaudcolas/kontrasto?branch=main) [![Total alerts](https://img.shields.io/lgtm/alerts/g/thibaudcolas/kontrasto.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/thibaudcolas/kontrasto/alerts/)

![🎨 Automated color contrast for text over images](https://raw.githubusercontent.com/thibaudcolas/kontrasto/main/.github/repository-social-media.jpg)

## Features

## Usage

kontrasto is available on [PyPI](https://pypi.org/project/kontrasto/).

```bash
# Assuming you’re using Python 3.6+,
pip install kontrasto
```

## Contributing

See anything you like in here? Anything missing? We welcome all support, whether on bug reports, feature requests, code, design, reviews, tests, documentation, and more. Please have a look at our [contribution guidelines](CONTRIBUTING.md).

If you just want to set up the project on your own computer, the contribution guidelines also contain all of the setup commands.

## Credits

Started as a fork of [jinjalint](https://github.com/motet-a/jinjalint). Image credit: [FxEmojis](https://github.com/mozilla/fxemoji). [Test templates](tests/README.md) extracted from third-party projects. Website hosted by [Netlify](https://www.netlify.com/).

View the full list of [contributors](https://github.com/thibaudcolas/kontrasto/graphs/contributors). [MIT](LICENSE) licensed. Website content available as [CC0](https://creativecommons.org/share-your-work/public-domain/cc0/).
cmc-csci046-Wasabi-containers 1.0.0
Containers from my Data Structures class, including Binary Tree, Binary Search Tree, the AVL Tree, and Heap!
License: MIT

# containers

This is a repository of various containers from my Data Structures course with Professor Izbicki at Claremont McKenna College. The containers you will get access to:

Binary Tree

Binary Search Tree

AVL Tree

Heap

Additionally, there is a container representing the fibonacci sequence and an implementation of the python range function.


Build status:

1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-fibonacci/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-fibonacci)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-range/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-range)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-unicode/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-unicode)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-BinaryTree/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-BinaryTree)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-BST/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-BST)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-AVLTree/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-AVLTree)
1. [![](https://github.com/WasabiWabiSabi/container_dev/workflows/tests-heap/badge.svg)](https://github.com/WasabiWabiSabi/container_dev/actions?query=workflow%3Atests-heap)
discordemoji 0.0.1
A simple processing script that accurately detects, replaces, removes and converts to code point emojis supported by Discord in text strings.
License: MIT
Requires Python: >=3.6
Keywords: emoji,emojis,discord,discord.py,unicode

# Discord Emoji processing
## Requirements
`discordemoji` requires a python version greater than `3.6`, but no additional requirements in order to be run.
## Basic Usage
You can directly install the package using
besuto 0.1.0a1
library that made for besuto and made by besuto
License: MIT
Requires Python: >=3.7
Keywords: image

this is library nade for besuto and made by besuto
REFERENCE
--------------------------------------------------------------------------------------------------------------------
MTCNN   - used for face detection 
        - source : https://github.com/ipazc/mtcnn
VGGFACE - used for face feature extraction
        - papers : https://www.robots.ox.ac.uk/~vgg/publications/2018/Cao18/cao18.pdf
        - source : https://github.com/rcmalli/keras-vggface?fbclid=IwAR0wOMKDbjdQjNULYziO78RZM3dBkRJ4vCgjyZcVXffbgQYO9Ui4QDAhTIw
UPDATE LOG
--------------------------------------------------------------------------------------------------------------------
besuto 0.0.1 unfinished release to learn Pypi upload machanic

besuto 0.0.2 realease the image Augmentation function (for my school project) and face extracttion which use pretrain model in mtcnn library

besuto 0.0.3 realease the pipeline for training all VggFace model from the paper
https://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15/parkhi15.pdf
https://www.robots.ox.ac.uk/~vgg/publications/2018/Cao18/cao18.pdf

besuto 0.0.4 fix bug that keras_application is not found

besuto 0.0.5    - fix corrupted ui in load_face_dataset function
                - fix functional type error in trains function
                
besuto 0.0.6    - fix loop massage problem in Augmentation (can be solve by add %%capture at the top of that cell in jupyter notebook)
                - write library doc and instruction (writed some of them)

besuto 0.0.7    - add faces feature extractor in augment module

besuto 0.0.8    - 0.0.7 but not bug