Dynamically generating abstract images using Computer Vision, Machine Learning, and Sentiment Analysis
![Issues](https://img.shields.io/github/issues/thedatatribune/dyPixa?style=for-the-badge) ![Pull Requests](https://img.shields.io/github/issues-pr/thedatatribune/dyPixa?style=for-the-badge) ![Forks](https://img.shields.io/github/forks/thedatatribune/dyPixa?style=for-the-badge) ![Stars](https://img.shields.io/github/stars/thedatatribune/dyPixa?style=for-the-badge) ![dyPixa Header](assets/img/banner.png) **dyPixa,** aka **Dynamic Pixels**, is an open-source project that aims to develop a tool combining the power of **computer vision,** **machine learning,** and **natural language processing** to create _abstract images based on text input_ and _sentiment analysis._ With _dyPixa,_ you can generate stunning visuals by harnessing the emotions expressed in the text. ### Table of Contents - [Introduction](#introduction) - [Features](#features) - [Getting Started](#getting-started) - [Usage](#usage) - [Contributing](#contributing) - [License](#license) ## Introduction **dyPixa** is a project that enables you to analyze _Multilingual_ text, perform _sentiment analysis,_ and use the emotions expressed in the text to generate abstract images with carefully selected color combinations. It would leverage state-of-the-art _machine learning_ models and _image processing_ techniques to achieve this. Additionally, _dyPixa_ allows you to overlay the input text onto the generated abstract image, creating visually striking compositions. ## Features > * **Multilingual Text and Sentiment Analysis:** dyPixa can analyze Hindi text and determine its sentiment, whether it's positive, negative, or neutral. > > * **Color Combination Model:** Train a machine learning model using a dataset of images paired with text descriptions to learn the most suitable color combinations for different sentiments. > > * **Abstract Image Generation:** Generate abstract images based on the input text's sentiment, utilizing the color combinations learned by the model. > > * **Text Overlay:** Overlay the input text onto the generated abstract image, allowing you to create visually appealing compositions that convey the text's emotion. ## Getting Started To get started with _dyPixa,_ follow these steps: 1. [Fork](https://github.com/thedatatribune/dyPixa/fork) this repository and clone using following command: > > ```sh > $ git clone https://github.com/Color Combination Generation
Abstract Image Generation
Text Overlay
Contributions to dyPixa are welcome! Whether you want to improve existing features, add new functionality, or report issues, please follow the contribution guidelines outlined in the project's CONTRIBUTING.md
file.
This project is licensed under the MIT License. Feel free to use, modify, and distribute dyPixa according to the terms of the license.
Note for contributors: This README.md
is supposed to be updated as per any new feature/changes introduced. Provide clear and comprehensive instructions to help users get be familiar.