Pyronear is a non-profit NGO that democratizes open and low-tech solutions to combat wildfires, benefiting ecosystems and citizens. At Pyronear, we are developing a performant, automatic, modular, economical, and energy-efficient open-source early detection solution.
Our mission is to help create a world where accessible and sustainable technology enables the protection of ecosystems, and we believe that collective intelligence and open collaboration are the solutions. Whether you are an expert or not, there’s a place for you in the project.
⭐ Star and watch our repos, visibility helps other volunteers find us.
🔄 Follow and share, fighting wildfires is a collective challenge, and you can help us raise awareness.
👩💻 Check out our good first issues, jump to any repositories, and start preserving forests from wildfires one commit at a time.
Computer Vision 👁
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Wildfire detection on edge device [ Torch | Ultalytics | ncnn | Docker] → repository and issues
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Deep Learning library for wildfire detection [ Torchvision | Ultralytics | onnx ] → repository and issues
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Deep Learning pipeline for wildfire detection [ DVC | MLFlow ] → repository and issues
Platform Developement 💻
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Pyronear platform front-end [ Dash | Docker] → repository and issues
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Pyronear platform back-end [ FastAPI | PostgreSQL | Docker] → repository and issues
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Platform development environment [ Docker | Localstack ] → repository and issues
Infrastructure ⚙️
- Rasperry PI Fleet Management [ Ansible | Grafana | Docker ] → repository and issues
Geospatial Solutions 🛰
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Wildfire smoke gelocalization [ Torch | Rasterio | Pyproj | Elevation ] → repository and issues
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Pyronear station viewsheds analysis [ QGis ] → repository and issues
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Wildfire risk serving [ FastAPI | Rasterio | Shapely | Geopandas] → repository and issues
Reach out to us at [email protected].
