forked from Github/frigate
e5fe323aca
* Initial work for adding OpenVino detector. Not functional * Load model and submit for inference. Sucessfully load model and initialize OpenVino engine with either CPU or GPU as device. Does not parse results for objects. * Detection working with ssdlite_mobilenetv2 FP16 model * Add OpenVIno support and model to docker image * Add documentation for OpenVino detector configuration * Adds support for ARM32/ARM64 and the Myriad X hardware - Use custom-built openvino wheel for all platforms - Add libusb build without udev for NCS2 support * Add documentation around Intel CPU requirements and NCS2 setup * Print all available output tensors * Update documentation for config parameters
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 RTMP to reduce the number of connections to your camera
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:
