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dd8282ff3c
* Docs: fix missing dependency in YOLOv9 build script I had this command fail because it didn't have cmake available. This change fixes that problem. * Docs: avoid failure in YOLOv9 build script Pinning to 0.4.36 avoids this error: ``` 10.58 Downloading onnx 12.87 Building onnxsim==0.5.0 1029.4 × Failed to download and build `onnxsim==0.5.0` 1029.4 ╰─▶ Package metadata version `0.4.36` does not match given version `0.5.0` 1029.4 help: `onnxsim` (v0.5.0) was included because `onnx-simplifier` (v0.5.0) 1029.4 depends on `onnxsim` ``` * Update Dockerfile instructions for object detectors --------- Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
Frigate - NVR With Realtime Object Detection for IP Cameras
[English] | 简体中文
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 GPU, Integrated GPU, or AI accelerator such as a Hailo is highly recommended. Dedicated hardware will outperform even the best CPUs 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
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
