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Josh HawkinsandGitHub
acc84d7658
* fix classification wizard finding no sample images on large databases The wizard grouped tracked objects by camera and 6 hour block, oldest first, then kept the first 100. With more than 100 groups that was always the oldest objects, which often have no snapshot or thumbnail left on disk, so no examples were generated. Shuffle the selection before truncating, and keep extracting from the remaining tracked objects until 100 usable images are found. * add notice and system ui message when a camera isn't using go2rtc * add docs note about privacy masks * match index-less device strings to hardware units in the detection models picker A config with `edgetpu:usb` was reported as hardware that wasn't found, because the picker compared device strings exactly and the probe reports the unit as `edgetpu:usb:0`. A device without an index now resolves to the first unit of that kind, so the hardware dropdown, the unit checkboxes, and the model summary all recognize it. * don't treat unknown audio as an audio-bearing stream A recording row with NULL has_audio (ffprobe failed and the cv2 fallback can't report audio) marked the whole stream as audio-bearing, so every confirmed video-only row on it was dropped as a glitch. A stream now counts as audio-bearing only when a row is known to carry audio. * stage main+sub exports on disk instead of /tmp/cache A main+sub export stages a full copy of itself before the final file is written. That copy went to /tmp/cache, so a long export outgrew the tmpfs and failed with no space left on device. Staged runs are now written to the exports directory, and startup removes any left behind by a killed export. * address review feedback - stage main+sub export runs in a staging subfolder of the exports directory, so media sync can't delete them mid-export and startup cleanup can't remove a finished export with a matching name or fail on an unremovable file - run object classification example collection off the event loop - prefer an exact hardware unit match over an index-less one, so an AMD GPU's "onnx" no longer selects the NVIDIA entry - add tests for the classification fallback and index-less hardware matching * serialize example collection and clean up exports when staging dir creation fails - overlapping object example requests could delete each other's images in the shared temp and train directories, so collection now runs under a lock - a failed makedirs for the staging directory raised past the failed-export cleanup and left the export spinning until restart, so it now fails the run through the normal cleanup path * revert
Frigate NVR™ - 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 or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- 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.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
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.
Copyright © 2026 Frigate, Inc.