Metadata-Version: 2.1
Name: pictokit
Version: 0.1.0
Summary: Uma lib python que oferece uma serie de ferramentas para o processamento de imagem
Author: Fabio Oliveira
Author-email: fabio.oliveira1403@outlook.com
Requires-Python: >=3.10,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: beartype (>=0.21.0,<0.22.0)
Requires-Dist: matplotlib (>=3.8,<4.0)
Requires-Dist: numpy (>=2.0,<3.0)
Requires-Dist: opencv-python (>=4.9,<5.0)
Requires-Dist: pandas (>=2.3.2)
Requires-Dist: python-dotenv (>=1.1.1,<2.0.0)
Project-URL: repository, https://github.com/fabrik5k/pictokit
Description-Content-Type: text/markdown

# pictokit

## Introduction

`pictokit` is a Python library designed to perform **image processing and transformations**.  
It serves as a foundation for applying different methods commonly studied in **Image Processing courses**, while also being flexible enough to be extended for research and development.

---

## Installation

`pictokit` requires **Python >= 3.10**.

You can install it directly from PyPI:

```bash
pip install pictokit
```

---

## Features

- Basic image loading and visualization  
- Color space conversions  
- Filtering and edge detection  
- Geometric transformations  
- Histogram analysis and equalization  
- [More features will be added and documented here in future versions]  

---

## How it Works

The library provides modular functions that can be combined to build **image transformation pipelines**.  
It is meant to be lightweight and educational, focusing on clarity and usability.  
Detailed usage examples will be provided in the official documentation.  

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## Academic Motivation

This project was created in the context of **Image Processing courses**, to consolidate theoretical knowledge through practical implementations.  
It aims to provide both a **learning resource for students** and a **useful toolkit for developers** who want to explore image transformations.  

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## Notes

If you want to contribute, please check the [CONTRIBUTING.md](CONTRIBUTING.md) file.  
Suggestions, bug reports, and improvements are always welcome.  
---

