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Merge pull request #178 from tryolabs/huggingface-spaces-demo
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Add demo in Hugging Face Spaces
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dekked authored Sep 7, 2022
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![Norfair by Tryolabs logo](docs/img/logo.png)

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tryolabs/norfair/blob/master/demos/yolov7/src/yolov7_demo.ipynb) [![Documentation](https://img.shields.io/badge/api-reference-blue?logo=readthedocs)](https://tryolabs.github.io/norfair/) [![Board](https://img.shields.io/badge/project-board-blue?logo=github)](https://github.com/tryolabs/norfair/projects/1) ![Build status](https://github.com/tryolabs/norfair/workflows/CI/badge.svg?branch=master) [![DOI](https://zenodo.org/badge/276473370.svg)](https://zenodo.org/badge/latestdoi/276473370)
[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/tryolabs/norfair-demo) [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tryolabs/norfair/blob/master/demos/yolov7/src/yolov7_demo.ipynb) [![Documentation](https://img.shields.io/badge/api-reference-blue?logo=readthedocs)](https://tryolabs.github.io/norfair/) [![Board](https://img.shields.io/badge/project-board-blue?logo=github)](https://github.com/tryolabs/norfair/projects/1) ![Build status](https://github.com/tryolabs/norfair/workflows/CI/badge.svg?branch=master) [![DOI](https://zenodo.org/badge/276473370.svg)](https://zenodo.org/badge/latestdoi/276473370)

Norfair is a customizable lightweight Python library for real-time multi-object tracking.

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## Examples & demos

[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/tryolabs/norfair-demo) [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tryolabs/norfair/blob/master/demos/yolov7/src/yolov7_demo.ipynb)

We provide several examples of how Norfair can be used to add tracking capabilities to different detectors, and also showcase more advanced features.

> Note: for ease of reproducibility, we provide Dockerfiles for all the demos. Even though Norfair does not need a GPU, the default configuration of most demos requires a GPU to be able to run the detectors. For this, make sure you install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) so that your GPU can be shared with Docker.
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