forked from Github/frigate
dd02958f7c
* Update to latest tensorrt (8.6.1) release * Build trt libyolo_layer.so in container * Update tensorrt_models script to convert models from the frigate container * Fix typo in model script * Fix paths to yolo lib and models folder * Add S6 scripts to test and convert specified TensortRT models at startup. Rearrange tensorrt files into a docker support folder. * Update TensorRT documentation to reflect the new model conversion process and minimum HW support. * Fix model_cache path to live in config directory * Move tensorrt s6 files to the correct directory * Fix issues in model generation script * Disable global timeout for s6 services * Add version folder to tensorrt model_cache path * Include TensorRT version 8.5.3 * Add numpy requirement prior to removal of np.bool * This TRT version uses a mixture of cuda dependencies * Redirect stdout from noisy model conversion
Frigate - NVR With Realtime Object Detection for IP Cameras
A complete and local NVR designed for Home Assistant 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 Home Assistant 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
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
Screenshots
Integration into Home Assistant
Also comes with a builtin UI:
