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GuoQing Liu c8e22a3653 Fix some page i18n wrong (#17682 )

* fix: some pages can't translation object label.

* revert: revert wrong label fix

* feat: add openai base_url setting

* fix: fix classification modelSize i18n error

* revert: revert openai base_url setting

* fix: fix enrichments pages i18n keys wrong

* fix: fix mobile bottom bar reindexing embeddings i18n wrong

* feat: add more system stats i18n keys

* fix: fix review filter objects i18n

* chore: remove frigate+ label i18n

2025-04-19 09:02:15 -05:00

.cspell

Various fixes (#17342 )

2025-03-24 12:25:36 -05:00

.devcontainer

Initial implementation of D-FINE model via ONNX (#16772 )

2025-02-24 08:56:01 -07:00

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Move database and config from homeassistant /config to addon /config (#16337 )

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Fix vscode launch configuration (#13795 )

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docker

Include arch in name (#17667 )

2025-04-12 07:50:17 -06:00

docs

Add YOLOv9 support to RKNN (#17791 )

2025-04-18 16:51:04 -06:00

frigate

Add YOLOv9 support to RKNN (#17791 )

2025-04-18 16:51:04 -06:00

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Small tweaks (#17168 )

2025-03-15 07:11:45 -06:00

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Update yolonas docs (#17736 )

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web

Fix some page i18n wrong (#17682 )

2025-04-19 09:02:15 -05:00

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.gitignore

Removed usage of PyYAML for config parsing. (#13883 )

2024-09-22 10:56:57 -05:00

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audio-labelmap.txt

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benchmark_motion.py

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benchmark.py

Improve async object detector support (#17712 )

2025-04-15 08:55:38 -05:00

CODEOWNERS

Initial support for Hailo-8L (#12431 )

2024-08-29 20:19:50 -06:00

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Work through most of the cspell warnings in python (#13794 )

2024-09-17 10:41:46 -05:00

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Devcontainer: update Mosquitto from 1.6 to 2.0 (#17415 )

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2025-02-08 12:47:01 -06:00

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Docs improvements (#8641 )

2023-11-18 08:04:43 -06:00

package-lock.json

Implement support for notifications (#12523 )

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process_clip.py

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pyproject.toml

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README_CN.md

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2025-04-07 08:32:43 -06:00

README.md

Small Tweaks (#17652 )

2025-04-11 08:21:01 -06:00

README.md

Frigate - NVR With 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 such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs 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 RTSP to reduce the number of connections to your camera
WebRTC & MSE support for low-latency live view