Blake Blackshear
ff99a01423
fix table in docs
|
4 gadi atpakaļ | |
|---|---|---|
| .github | 4 gadi atpakaļ | |
| docker | 4 gadi atpakaļ | |
| docs | 4 gadi atpakaļ | |
| frigate | 4 gadi atpakaļ | |
| migrations | 4 gadi atpakaļ | |
| nginx | 4 gadi atpakaļ | |
| web | 4 gadi atpakaļ | |
| .dockerignore | 4 gadi atpakaļ | |
| .gitignore | 4 gadi atpakaļ | |
| LICENSE | 4 gadi atpakaļ | |
| Makefile | 4 gadi atpakaļ | |
| README.md | 4 gadi atpakaļ | |
| benchmark.py | 4 gadi atpakaļ | |
| labelmap.txt | 4 gadi atpakaļ | |
| run.sh | 4 gadi atpakaļ |
README.md
Frigate - NVR With Realtime Object Detection for IP Cameras
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.
- Tight integration with HomeAssistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- 24/7 recording
- Re-streaming via RTMP to reduce the number of connections to your camera
Documentation
View the documentation at https://blakeblackshear.github.io/frigate