Mirrors/blakeblackshear.frigate
1
0
Fork 0
mirror of https://github.com/blakeblackshear/frigate.git synced 2024-11-21 19:07:46 +01:00
Code Issues Projects Releases Wiki Activity
NVR with realtime local object detection for IP cameras
1,982 Commits 60 Branches 126 Tags 151 MiB
Python 47.8%
TypeScript 47.5%
CSS 1.4%
C++ 1.1%
Dockerfile 0.7%
Other 1.5%
27144eb0b9
Go to file
Josh Hawkins 27144eb0b9
Autotracker: Basic zooming and moves with velocity estimation (#7713) 
* don't zoom if camera doesn't support it

* basic zooming

* make zooming configurable

* zooming docs

* optional zooming in camera status

* Use absolute instead of relative zooming

* increase edge threshold

* zoom considering object area

* bugfixes

* catch onvif zooming errors

* relative zooming option for dahua/amcrest cams

* docs

* docs

* don't make small movements

* remove old logger statement

* fix small movements

* use enum in config for zooming

* fix formatting

* empty move queue first

* clear tracked object before waiting for stop

* use velocity estimation for movements

* docs updates

* add tests

* typos

* recalc every 50 moves

* adjust zoom based on estimate box if calibrated

* tweaks for fast objects and large movements

* use real time for calibration and add info logging

* docs updates

* remove area scale

* Add example video to docs

* zooming font header size the same as the others

* log an error if a ptz doesn't report a MoveStatus

* debug logging for onvif service capabilities

* ensure camera supports ONVIF MoveStatus
2023-09-27 06:19:10 -05:00
.devcontainer Check ffmpeg version instead of checking for presence of BTBN_PATH (#7023) 2023-07-06 07:35:26 -05:00
.github Dep updates (#7933) 2023-09-24 07:00:41 -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 go2rtc to 1.7.1 (#7657) 2023-09-21 06:52:46 -06:00
docs Autotracker: Basic zooming and moves with velocity estimation (#7713) 2023-09-27 06:19:10 -05:00
frigate Autotracker: Basic zooming and moves with velocity estimation (#7713) 2023-09-27 06:19:10 -05:00
migrations Save average dBFS and retain segment with dBFS in motion mode (#7158) 2023-07-14 19:05:14 -05:00
web Add seconds to exports (#7955) 2023-09-27 06:10:37 -05:00
.dockerignore Improve the devcontainer experience (#3492) 2022-11-20 07:34:12 -06:00
.gitignore Migrate default database path from /media/frigate to /config (#5219) 2023-04-23 11:35:40 -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 Add isort and ruff linter (#6575) 2023-05-29 05:31:17 -05:00
CODEOWNERS Revert numpy upgrade (#7341) 2023-07-31 21:45:50 -05:00
docker-compose.yml Nvidia Jetson ffmpeg + TensorRT support (#6458) 2023-07-26 05:50:41 -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 Community Supported Boards Framework (#7114) 2023-07-23 16:45:29 -05:00
process_clip.py Improve tracking (#6516) 2023-05-31 08:12:43 -06:00
pyproject.toml Fix bug introduced in new linter (#6754) 2023-06-11 07:18:47 -05:00
README.md Clarify docs about rtmp (#5052) 2023-01-13 07:20:25 -06:00

README.md

logo

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

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.

Screenshots

Integration into Home Assistant

Also comes with a builtin UI:

Events