mirror of https://github.com/blakeblackshear/frigate.git synced 2026-10-22 14:42:47 +03:00

T

leccelecceandClaude Opus 4.8 7739a330d8 Use a distinct color palette for Frames / Detections graphs (#2 )

The CPU and Frames / Detections graphs on the system metrics page both
rendered through CameraLineGraph with a single shared palette, making
the two graphs hard to tell apart at a glance.

Add an optional `colors` prop to CameraLineGraph (defaulting to the
existing palette so CPU graphs are unchanged) and give the Frames /
Detections graphs their own green/orange/cyan palette. The colors are
routed through both the chart lines and the legend dots so they stay
in sync.

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

2026-06-25 22:42:50 +01:00

.cspell

Docs updates (#23407 )

2026-06-04 17:07:12 -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

generate the API docs OpenAPI spec from the app with per-endpoint auth requirements (#23476 )

2026-06-13 16:04:22 -06:00

.vscode

Settings UI tweaks (#22547 )

2026-03-20 07:24:34 -06:00

config

Improve the devcontainer experience (#3492 )

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

docker

Upgrade ffmpeg to 8 by default (#23393 )

2026-06-03 12:28:28 -05:00

docs

Improve storage docs (#23542 )

2026-06-22 15:27:24 -05:00

frigate

perf(track): use sum()/len() instead of np.mean in average_boxes (#23521 )

2026-06-23 15:47:04 -06:00

migrations

Improve motion review and add motion search (#22253 )

2026-03-05 17:53:48 -06:00

notebooks

fix yolonas colab notebook (#22936 )

2026-04-21 11:08:10 -06:00

testing-scripts

Add script to investigate accuracy of classification training set (#23324 )

2026-06-04 15:19:45 -06:00

web

Use a distinct color palette for Frames / Detections graphs (#2 )

2026-06-25 22:42:50 +01:00

.dockerignore

Improve the devcontainer experience (#3492 )

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

.gitignore

docs: add docker compose generator (#22956 )

2026-05-03 13:56:51 -05:00

.pylintrc

use fstr log style

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

AGENTS.md

generate the API docs OpenAPI spec from the app with per-endpoint auth requirements (#23476 )

2026-06-13 16:04:22 -06:00

audio-labelmap.txt

Audio events (#6848 )

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

CLAUDE.md

Miscellaneous fixes (#23258 )

2026-05-20 08:36:49 -06:00

CODEOWNERS

Initial support for Hailo-8L (#12431 )

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

CONTRIBUTING.md

Miscellaneous fixes (#23082 )

2026-05-01 11:25:26 -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

Use Frigate amd64 cache image for devcontainer build (#22888 )

2026-04-15 08:37:23 -06:00

generate_api_auth_spec.py

generate the API docs OpenAPI spec from the app with per-endpoint auth requirements (#23476 )

2026-06-13 16:04:22 -06:00

generate_config_translations.py

Add attributes to UI filters list (#23250 )

2026-05-19 08:31:50 -06:00

labelmap.txt

Cleanup Detector labelmap (#4932 )

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

LICENSE

llc to inc and 2025 to 2026 (#21484 )

2026-01-01 09:56:09 -06:00

Makefile

Birdseye fixes (#22166 )

2026-02-27 20:02:46 -07:00

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

pyproject.toml

Fix various typing issues (#18187 )

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

README_CN.md

llc to inc and 2025 to 2026 (#21484 )

2026-01-01 09:56:09 -06:00

README.md

docs: fix alt text and capitalization in documentation (#21551 )

2026-01-07 07:22:05 -07:00

TRADEMARK.md

llc to inc and 2025 to 2026 (#21484 )

2026-01-01 09:56:09 -06:00

README.md

Frigate NVR™ - 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 is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.

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

Documentation

View the documentation at https://docs.frigate.video

Donations

If you would like to make a donation to support development, please use Github Sponsors.

License

This project is licensed under the MIT License.

Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
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.

Please see our Trademark Policy for details on acceptable use of our brand assets.

Screenshots

Live dashboard

Streamlined review workflow

Multi-camera scrubbing

Built-in mask and zone editor

Translations

We use Weblate to support language translations. Contributions are always welcome.