/supervision

A set of easy-to-use utils that will come in handy in any Computer Vision project

Primary LanguagePythonMIT LicenseMIT



Colab

👋 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 environment.

pip install supervision
Install from source 
# 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]"

📖 documentation

Curious how Supervision can help you solve problems on your project? Visit our documentation page!

🎬 videos

Learn how to use YOLOv8, ByteTrack and Supervision to detect, track and count objects. 🔥 Subscribe, and stay up to date with our latest YouTube videos!

count-objects-in-zone

count-objects-crossing-line

🧹 code quality

We provide two handy commands inside the Makefile, namely:

  • make style to format the code
  • make check_code_quality to check code quality (PEP8 basically)

So far, there is no types checking with mypy. See issue.

🧪 tests

pytests is used to run our tests.