Metadata-Version: 2.1
Name: supervision
Version: 0.6.0
Summary: A set of easy-to-use utils that will come in handy in any Computer Vision project
Home-page: https://github.com/roboflow/supervision
Author: Piotr Skalski
Author-email: piotr.skalski92@gmail.com
License: MIT
Keywords: machine-learning,deep-learning,vision,ML,DL,AI,YOLOv5,YOLOv8,Roboflow
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Typing :: Typed
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: opencv-python
Requires-Dist: matplotlib
Provides-Extra: dev
Requires-Dist: flake8 ; extra == 'dev'
Requires-Dist: black (==22.3.0) ; extra == 'dev'
Requires-Dist: isort ; extra == 'dev'
Requires-Dist: twine ; extra == 'dev'
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: wheel ; extra == 'dev'
Requires-Dist: notebook ; extra == 'dev'
Requires-Dist: mkdocs-material ; extra == 'dev'
Requires-Dist: mkdocstrings[python] ; extra == 'dev'

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[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-detect-and-count-objects-in-polygon-zone.ipynb)

</div>

## 👋 hello

A set of easy-to-use utils that will come in handy in any computer vision project. **Supervision is still in 
pre-release stage. 🚧 Keep your eyes open for potential bugs and be aware that at this stage our API is still fluid 
and may change.**

## 💻 install

Pip install the supervision package in a
[**3.10>=Python>=3.7**](https://www.python.org/) environment.

```bash
pip install supervision
```

<details close>
<summary>Install from source</summary>

```bash
# clone repository and navigate to root directory
git clone https://github.com/roboflow/supervision.git
cd supervision

# setup python environment and activate it
python3 -m venv venv
source venv/bin/activate

# install
pip install -e ".[dev]"
```

</details>

## 📖 documentation

Curious how Supervision can help you solve problems on your project? Visit our [documentation](https://roboflow.github.io/supervision) page!

## 🎬 tutorials

🔥 [Subscribe](https://www.youtube.com/@Roboflow) and stay up to date with the latest changes to the Supervision library. 

<p align="center">
    <a href="https://youtu.be/l_kf9CfZ_8M">
        <img 
            width="90%"
            src="https://user-images.githubusercontent.com/26109316/217950212-311de186-1862-4b4c-a86e-89cafd68b233.jpg" 
            alt="count-objects-in-zone"
        >
    </a>
</p>

<p align="center">
    <a href="https://youtu.be/OS5qI9YBkfk">
        <img
            width="90%"
            src="https://user-images.githubusercontent.com/26109316/213702005-ddd568f0-b902-46c2-9af9-e6ff33db23bf.jpg" 
            alt="count-objects-crossing-line"
        >
    </a>
</p>

## 🏆 contribution

We love your input! Please see our [contributing guide](https://github.com/roboflow/supervision/blob/main/CONTRIBUTING.md) to get started. Thank you 🙏 to all our contributors!
