[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-180":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":9,"totalLinesOfCode":9,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":9,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":37,"readmeContent":38,"aiSummary":39,"trendingCount":16,"starSnapshotCount":16,"syncStatus":40,"lastSyncTime":41,"discoverSource":42},180,"frigate","blakeblackshear\u002Ffrigate","blakeblackshear","NVR with realtime local object detection for IP cameras",null,"https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate","TypeScript",33681,3269,246,73,0,25,166,1800,116,45,false,"main",[25,26,27,28,29,30,31,32,33,34,35,36],"rtsp","realtime","tensorflow","google-coral","mqtt","nvr","camera","home-assistant","object-detection","ai","homeautomation","home-automation","2026-06-12 02:00:09","\u003Cp align=\"center\">\n  \u003Cimg align=\"center\" alt=\"logo\" src=\"docs\u002Fstatic\u002Fimg\u002Fbranding\u002Ffrigate.png\">\n\u003C\u002Fp>\n\n# Frigate NVR™ - Realtime Object Detection for IP Cameras\n\n[![License: MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg)](https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT)\n\n\u003Ca href=\"https:\u002F\u002Fhosted.weblate.org\u002Fengage\u002Ffrigate-nvr\u002F\">\n\u003Cimg src=\"https:\u002F\u002Fhosted.weblate.org\u002Fwidget\u002Ffrigate-nvr\u002Flanguage-badge.svg\" alt=\"Translation status\" \u002F>\n\u003C\u002Fa>\n\n\\[English\\] | [简体中文](https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate\u002Fblob\u002Fdev\u002FREADME_CN.md)\n\nA complete and local NVR designed for [Home Assistant](https:\u002F\u002Fwww.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.\n\nUse 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:\u002F\u002Fdocs.frigate.video\u002Fconfiguration\u002Fobject_detectors\u002F).\n\n- Tight integration with Home Assistant via a [custom component](https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate-hass-integration)\n- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary\n- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame\n- Uses a very low overhead motion detection to determine where to run object detection\n- Object detection with TensorFlow runs in separate processes for maximum FPS\n- Communicates over MQTT for easy integration into other systems\n- Records video with retention settings based on detected objects\n- 24\u002F7 recording\n- Re-streaming via RTSP to reduce the number of connections to your camera\n- WebRTC & MSE support for low-latency live view\n\n## Documentation\n\nView the documentation at https:\u002F\u002Fdocs.frigate.video\n\n## Donations\n\nIf you would like to make a donation to support development, please use [Github Sponsors](https:\u002F\u002Fgithub.com\u002Fsponsors\u002Fblakeblackshear).\n\n## License\n\nThis project is licensed under the **MIT License**.\n\n- **Code:** The source code, configuration files, and documentation in this repository are available under the [MIT License](LICENSE). You are free to use, modify, and distribute the code as long as you include the original copyright notice.\n- **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.\n\nPlease see our [Trademark Policy](TRADEMARK.md) for details on acceptable use of our brand assets.\n\n## Screenshots\n\n### Live dashboard\n\n\u003Cdiv>\n\u003Cimg width=\"800\" alt=\"Live dashboard\" src=\"https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate\u002Fassets\u002F569905\u002F5e713cb9-9db5-41dc-947a-6937c3bc376e\">\n\u003C\u002Fdiv>\n\n### Streamlined review workflow\n\n\u003Cdiv>\n\u003Cimg width=\"800\" alt=\"Streamlined review workflow\" src=\"https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate\u002Fassets\u002F569905\u002F6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff\">\n\u003C\u002Fdiv>\n\n### Multi-camera scrubbing\n\n\u003Cdiv>\n\u003Cimg width=\"800\" alt=\"Multi-camera scrubbing\" src=\"https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate\u002Fassets\u002F569905\u002Fd6788a15-0eeb-4427-a8d4-80b93cae3d74\">\n\u003C\u002Fdiv>\n\n### Built-in mask and zone editor\n\n\u003Cdiv>\n\u003Cimg width=\"800\" alt=\"Built-in mask and zone editor\" src=\"https:\u002F\u002Fgithub.com\u002Fblakeblackshear\u002Ffrigate\u002Fassets\u002F569905\u002Fd7885fc3-bfe6-452f-b7d0-d957cb3e31f5\">\n\u003C\u002Fdiv>\n\n## Translations\n\nWe use [Weblate](https:\u002F\u002Fhosted.weblate.org\u002Fprojects\u002Ffrigate-nvr\u002F) to support language translations. Contributions are always welcome.\n\n\u003Ca href=\"https:\u002F\u002Fhosted.weblate.org\u002Fengage\u002Ffrigate-nvr\u002F\">\n\u003Cimg src=\"https:\u002F\u002Fhosted.weblate.org\u002Fwidget\u002Ffrigate-nvr\u002Fmulti-auto.svg\" alt=\"Translation status\" \u002F>\n\u003C\u002Fa>\n\n---\n\n**Copyright © 2026 Frigate, Inc.**\n","Frigate NVR 是一个专为 IP 摄像头设计的本地实时对象检测网络视频录像机。它利用 OpenCV 和 TensorFlow 实现本地实时对象检测，支持使用 GPU 或 AI 加速器以提高性能。该项目通过仅在必要时和必要位置进行对象检测来最小化资源消耗并最大化性能，并且采用低开销的运动检测来确定运行对象检测的位置。此外，Frigate 通过 MQTT 通信，易于与其他系统集成，支持基于检测到的对象进行视频录制与存储设置，以及24\u002F7全天候录制。特别适合需要高效安全监控的家庭自动化场景中使用。",2,"2026-06-11 02:31:20","trending"]