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👋 Hello

We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us!

💻 Install

You can install supervision in a Python>=3.8 environment.

pip install (recommended)

The headless installation of supervision is designed for environments where graphical user interfaces (GUI) are not needed, making it more lightweight and suitable for server-side applications.

pip install supervision

If you require the full version of supervision with GUI support you can install the desktop version. This version includes the GUI components of OpenCV, allowing you to display images and videos on the screen.

pip install "supervision[desktop]"

conda/mamba install

conda-recipe conda-downloads conda-version conda-platforms

conda install -c conda-forge supervision

mamba-recipe mamba-downloads mamba-version mamba-platforms

mamba install -c conda-forge supervision

git clone (for development)

# 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
pip install --upgrade pip

# headless install
pip install -e "."

# desktop install
pip install -e ".[desktop]"

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

# setup python environment and activate it
poetry env use python3.10
poetry shell

# headless install
poetry install

# desktop install
poetry install --extras "desktop"

🚀 Quickstart

  • Detect and Annotate

    Annotate predictions from a range of object detection and segmentation models

    Tutorial

  • Track Objects

    Discover how to enhance video analysis by implementing seamless object tracking

    Tutorial

  • Detect Small Objects

    Learn how to detect small objects in images

    Tutorial

  • Count Objects Crossing Line

    Explore methods to accurately count and analyze objects crossing a predefined line

  • Filter Objects in Zone

    Master the techniques to selectively filter and focus on objects within a specific zone

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