Wildfire detection on edge devices
APACHE-2.0 License
Published by frgfm about 2 years ago
This release brings the performance improvements of pyrovision
to edge devices while reducing latency.
Note: pyroengine 0.2.0 requires ONNX Runtime 1.10 or higher.
Since this project is meant for edge devices, we completely migrated the Deep learning backend from PyTorch (used for development) to ONNX Runtime (#101). This brings about two major improvements:
It was time to clean the documentation! So we switch from Read the doc theme to Furo (#101, #110, #112)!
This comes with nice features such as dark mode and edit button!
The project was completely refactored to match its criticity:
pyproject.toml
.Makefile
was added to help contributions (#101), along with new issue templates (#113) and a revamped READMEThe following features & files were deprecated:
./server
./pyroengine/pi_utils
The following features & files were renamed:
./test
renamed to ./tests
./runner
renamed to ./src
PyronearEngine
was renamed to Engine
Full Changelog: https://github.com/pyronear/pyro-engine/compare/v0.1.1...v0.2.0
Published by frgfm about 2 years ago
This release contains the solution that we have deployed for our test phase in Ardèche.
Full Changelog: https://github.com/pyronear/pyro-engine/compare/v0.1.0...v0.1.1