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* Revise GPU and AI accelerator recommendations Updated hardware recommendations for AI acceleration. * Revise PCIe Coral driver installation instructions Updated instructions for PCIe Coral driver installation. * Revise Coral driver installation instructions Updated driver installation instructions for PCIe and M.2 versions of Google Coral. * Change PCIe Coral driver link in getting_started.md Updated the link for PCIe Coral driver instructions. * Change PCIe Coral driver link in installation guide Updated the link for PCIe Coral driver instructions. * Update Coral TPU recommendation in hardware documentation Added a warning about the Coral TPU's recommendation status for new Frigate installations and suggested alternatives.
69 lines
2.8 KiB
Markdown
69 lines
2.8 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, Integrated GPU, or AI accelerator such as a [Hailo](https://hailo.ai/) is highly recommended. Dedicated hardware will outperform even the best CPUs with very little overhead.
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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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