|
|
il y a 4 ans | |
|---|---|---|
| .github | il y a 4 ans | |
| docker | il y a 4 ans | |
| docs | il y a 4 ans | |
| frigate | il y a 4 ans | |
| migrations | il y a 4 ans | |
| nginx | il y a 4 ans | |
| web | il y a 4 ans | |
| .dockerignore | il y a 4 ans | |
| .gitignore | il y a 4 ans | |
| LICENSE | il y a 5 ans | |
| Makefile | il y a 4 ans | |
| README.md | il y a 4 ans | |
| benchmark.py | il y a 5 ans | |
| labelmap.txt | il y a 5 ans | |
| run.sh | il y a 4 ans |
A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
View the documentation at https://blakeblackshear.github.io/frigate
If you would like to make a donation to support development, please use Github Sponsors.
Integration into HomeAssistant
Also comes with a builtin UI: