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Refactor Tracked Object Details dialog (#20748 )

* detail stream settings

* remove old review detail dialog

* change layout

* use detail stream in tracking details

* reusable tabs component

* pass in tabs for desktop

* fix object selection and time updating

* i18n

* aspect fixes

* include tolerance for displaying of path and zone

some browsers (firefox and probably brave) intentionally reduce precision of seeking with currentTime for privacy reasons

* detail stream seeking fixes

* tracking details seeking fixes

* layout tweaks

* add download button back for now

* remove

* remove

* snapshot is now default tab

2025-11-01 09:19:30 -05:00

.cspell

Fixes (#18304 )

2025-05-19 14:43:22 -06:00

.cursor/rules

Implement Wizard for Creating Classification Models (#20622 )

2025-10-23 13:27:28 -06:00

.devcontainer

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

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

.github

[Init] Initial commit for Synaptics SL1680 NPU (#19680 )

2025-09-26 07:07:12 -05:00

.vscode

Fix vscode launch configuration (#13795 )

2024-09-17 10:42:10 -05:00

config

Improve the devcontainer experience (#3492 )

2022-11-20 07:34:12 -06:00

docker

Don't remove tensorflow on trt (#20743 )

2025-10-31 16:17:41 -05:00

docs

Various Tweaks (#20742 )

2025-10-31 12:40:31 -06:00

frigate

Add ability to delete classification models (#20747 )

2025-11-01 09:11:24 -05:00

migrations

Semantic Search Triggers (#18969 )

2025-08-16 10:20:33 -05:00

notebooks

Update YOLO_NAS_Pretrained_Export.ipynb (#19669 )

2025-08-20 14:59:43 -05:00

web

Refactor Tracked Object Details dialog (#20748 )

2025-11-01 09:19:30 -05:00

.dockerignore

Improve the devcontainer experience (#3492 )

2022-11-20 07:34:12 -06:00

.gitignore

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

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

.pylintrc

use fstr log style

2021-02-25 07:01:59 -06:00

audio-labelmap.txt

Audio events (#6848 )

2023-07-01 08:18:33 -05:00

benchmark_motion.py

use a different method for blur and contrast to reduce CPU (#6940 )

2023-06-30 07:27:31 -05:00

benchmark.py

Fix go2rtc init (#18708 )

2025-08-16 10:20:33 -05:00

CODEOWNERS

Initial support for Hailo-8L (#12431 )

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

cspell.json

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

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

docker-compose.yml

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

2025-03-27 10:33:49 -06:00

generate_config_translations.py

Add script to generate english config translation file from config (#20301 )

2025-10-01 07:39:43 -05:00

labelmap.txt

Cleanup Detector labelmap (#4932 )

2023-01-06 07:03:16 -06:00

LICENSE

switch to MIT license

2020-07-26 12:07:47 -05:00

Makefile

Fixes (#19984 )

2025-09-09 06:17:56 -06:00

netlify.toml

Docs improvements (#8641 )

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

package-lock.json

Implement support for notifications (#12523 )

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

process_clip.py

Improve async object detector support (#17712 )

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

pyproject.toml

Fix various typing issues (#18187 )

2025-05-13 08:27:20 -06:00

README_CN.md

Add Chinese community sponsors (#18945 )

2025-07-04 14:32:48 -05:00

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