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Nicolas Mowen ef7846bb41 Update ffmpeg source (#12251 )

* Revert "Use latest 5.1 ffmpeg update (#12243)"

This reverts commit 93e08688be.

* Revert "Change qsv device arg to standard hwaccel arg (#12249)"

This reverts commit 56b4a551dc.

* Use different repo for build

2024-07-01 15:46:40 -06:00

.cspell

cspell fixes (#11447 )

2024-05-20 07:37:56 -06:00

.devcontainer

Nginx config tweaks (#12174 )

2024-06-29 07:18:40 -06:00

.github

Update template to include all detector types (#11981 )

2024-06-15 15:26:09 -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

Update ffmpeg source (#12251 )

2024-07-01 15:46:40 -06:00

docs

Live player fixes and improvements (#12202 )

2024-06-29 09:02:30 -06:00

frigate

Update ffmpeg source (#12251 )

2024-07-01 15:46:40 -06:00

migrations

Auth! (#11347 )

2024-05-18 10:36:13 -06:00

notebooks

Adds support for YOLO-NAS in OpenVino (#11645 )

2024-06-07 05:52:08 -06:00

web

Add fullscreen button to the default live grid on desktops (#12250 )

2024-07-01 13:00:53 -06:00

.dockerignore

Improve the devcontainer experience (#3492 )

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

.gitignore

upgrade to latest openvino version (#11563 )

2024-05-27 14:49:35 -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

cspell.json

cspell fixes (#11447 )

2024-05-20 07:37:56 -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

chore: fix some typos in comments (#11028 )

2024-04-20 06:16:43 -05:00

pyproject.toml

Docs improvements (#8641 )

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

README.md

update images in readme

2024-06-08 15:37:16 -05:00

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