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* ensure viewer roles are available in create user dialog
* admin-only endpoint to return unmaksed camera paths and go2rtc streams
* remove camera edit dropdown
pushing camera editing from the UI to 0.18
* clean up camera edit form
* rename component for clarity
CameraSettingsView is now CameraReviewSettingsView
* Catch case where user requsts clip for time that has no recordings
* ensure emergency cleanup also sets has_clip on overlapping events
improves https://github.com/blakeblackshear/frigate/discussions/20945
* use debug log instead of info
* update docs to recommend tmpfs
* improve display of in-progress events in explore tracking details
* improve seeking logic in tracking details
mimic the logic of DynamicVideoController
* only use ffprobe for duration to avoid blocking
fixes https://github.com/blakeblackshear/frigate/discussions/20737#discussioncomment-14999869
* Revert "only use ffprobe for duration to avoid blocking"
This reverts commit 8b15078005.
* update readme to link to object detector docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
69 lines
2.9 KiB
Markdown
69 lines
2.9 KiB
Markdown
<p align="center">
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<img align="center" alt="logo" src="docs/static/img/frigate.png">
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</p>
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# Frigate - NVR With Realtime Object Detection for IP Cameras
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<a href="https://hosted.weblate.org/engage/frigate-nvr/">
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<img src="https://hosted.weblate.org/widget/frigate-nvr/language-badge.svg" alt="Translation status" />
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</a>
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\[English\] | [简体中文](https://github.com/blakeblackshear/frigate/blob/dev/README_CN.md)
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A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
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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](https://docs.frigate.video/configuration/object_detectors/).
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- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
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- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
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- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
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- Uses a very low overhead motion detection to determine where to run object detection
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- Object detection with TensorFlow runs in separate processes for maximum FPS
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- Communicates over MQTT for easy integration into other systems
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- Records video with retention settings based on detected objects
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- 24/7 recording
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- Re-streaming via RTSP to reduce the number of connections to your camera
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- WebRTC & MSE support for low-latency live view
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## Documentation
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View the documentation at https://docs.frigate.video
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## Donations
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If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
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## Screenshots
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### Live dashboard
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<div>
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<img width="800" alt="Live dashboard" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
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</div>
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### Streamlined review workflow
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<div>
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<img width="800" alt="Streamlined review workflow" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
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</div>
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### Multi-camera scrubbing
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<div>
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<img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
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</div>
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### Built-in mask and zone editor
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<div>
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<img width="800" alt="Multi-camera scrubbing" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
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</div>
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## Translations
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We use [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) to support language translations. Contributions are always welcome.
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<a href="https://hosted.weblate.org/engage/frigate-nvr/">
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<img src="https://hosted.weblate.org/widget/frigate-nvr/multi-auto.svg" alt="Translation status" />
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</a>
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