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Nicolas Mowen 0096a6d778 Implement general page of system graphs (#10815 )

* Reorganize stats and show graphs in system metrics

* Break apart all cpu / mem graphs

* Auto update stats

* Show camera graphs

* Get system graphs working for inference time

* Update stats every 10 seconds, keeping the last 10 minutes

* Use types for thresholds

* Use keys api

* Break system metrics into different pages

* Add dialog for viewing and copying vainfo

* remove unused for now

* Formatting

* Make tooltip match theme

* Make betters color in light mode

* Include gpu

* Make scaling consistent

* Fix name

* address feedback

2024-04-03 21:22:11 -06:00

.devcontainer

Remove deprecated RTMP port 1935 (#9137 )

2024-01-31 12:56:11 +00:00

.github

Remove all AGPL licensed YOLO references from Frigate (#10717 )

2024-03-30 05:46:17 -05:00

.vscode

Set User Agent for FFmpeg calls (#4555 )

2022-11-30 16:53:45 -06:00

config

Improve the devcontainer experience (#3492 )

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

docker

Delete download-models (#10755 )

2024-03-30 13:23:32 -06:00

docs

chore: fix some comments (#10729 )

2024-03-30 05:51:41 -05:00

frigate

Implement general page of system graphs (#10815 )

2024-04-03 21:22:11 -06:00

migrations

Add region count to database and use for motion activity (#10480 )

2024-03-15 09:29:22 -06:00

web

Implement general page of system graphs (#10815 )

2024-04-03 21:22:11 -06:00

.dockerignore

Improve the devcontainer experience (#3492 )

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

.gitignore

Small autotracking changes (#9571 )

2024-02-02 06:23:14 -06:00

.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

Add isort and ruff linter (#6575 )

2023-05-29 05:31:17 -05:00

CODEOWNERS

AMD GPU support with the rocm detector and YOLOv8 pretrained model download (#9762 )

2024-02-10 06:41:46 -06:00

docker-compose.yml

Docs improvements (#8641 )

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

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

increment version

2024-01-31 06:23:54 -06:00

netlify.toml

Docs improvements (#8641 )

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

process_clip.py

Remove rtmp (#8941 )

2024-01-31 12:56:11 +00:00

pyproject.toml

Docs improvements (#8641 )

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

README.md

Clarify docs about rtmp (#5052 )

2023-01-13 07:20:25 -06:00

README.md

Frigate - NVR With Realtime Object Detection for IP Cameras

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 Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS 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