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NVR with realtime local object detection for IP cameras
aicameragoogle-coralhome-assistanthome-automationhomeautomationmqttnvrobject-detectionrealtimertsptensorflow
aaedd24f37
* Add ffprobe endpoint * Get ffprobe for multiple inputs * Copy ffprobe in output * Fix bad if statement * Return full output of ffprobe process * Return full output of ffprobe process * Make ffprobe button show dialog with output and option to copy * Add driver names to consts * Add driver env var name * Setup general tracking for GPU stats * Catch RPi args as well * Add util to get radeontop results * Add real amd GPU stats * Fix missed arg * pass config * Use only the values * Fix vram * Add nvidia gpu stats * Use nvidia stats * Add chart for gpu stats * Format AMD with space between percent * Get correct nvidia % * Start to add support for intel GPU stats * Block out RPi as util is not currently available * Formatting * Fix mypy * Strip for float conversion * Strip for float conversion * Fix percent formatting * Remove name from gpu map * Add tests and fix AMD formatting * Add nvidia gpu stats test * Formatting * Add intel_gpu_top for testing * Formatting * Handle case where hwaccel is not setup * Formatting * Check to remove none * Don't use set * Cleanup and fix types * Handle case where args is list * Fix mypy * Cast to str * Fix type checking * Return none instead of empty * Fix organization * Make keys consistent * Make gpu match style * Get support for vainfo * Add vainfo endpoint * Set vainfo output in error correctly * Remove duplicate function * Fix errors * Do cpu & gpu work asynchonously * Fix async * Fix event loop * Fix crash * Fix naming * Send empty data for gpu if error occurs * Show error if gpu stats could not be retrieved * Fix mypy * Fix test * Don't use json for vainfo * Fix cross references * Strip unicode still * await vainfo response * Add gpu deps * Formatting * remove comments * Use empty string * Add vainfo back in |
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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:
