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Blake Blackshear d51197eaa2 use a different method for blur and contrast to reduce CPU (#6940 )

* use a different method for blur and contrast to reduce CPU

* blur with radius instead

* use faster interpolation for motion

* improve contrast based on averages

* increase default threshold to 30

* ensure mask is applied after contrast improvement

* update opencv

* update benchmark script

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

.devcontainer

Fix max_frames, improve stationary objects in masked areas (#6815 )

2023-06-16 07:32:43 -05:00

.github

Bump docker/login-action from 2.1.0 to 2.2.0 (#6740 )

2023-06-11 07:21:59 -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

Add API and WebUI to export recordings (#6550 )

2023-06-08 07:32:35 -04:00

docs

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

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

frigate

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

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

migrations

DB Optimizations (#6712 )

2023-06-11 07:23:18 -05:00

web

Show object attributes when hovering or tapping timeline bounding box (#6879 )

2023-06-30 07:15:19 -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

benchmark_motion.py

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benchmark.py

Add isort and ruff linter (#6575 )

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

docker-compose.yml

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2023-04-23 11:35:40 -05:00

Dockerfile

Performance: multiprocessing improvement (#6936 )

2023-06-28 05:39:39 -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

Migrate default database path from /media/frigate to /config (#5219 )

2023-04-23 11:35:40 -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

requirements-dev.txt

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

requirements-ov.txt

update python deps (#6101 )

2023-04-16 07:20:51 -05:00

requirements-tensorrt.txt

Update library loading for tensorrt (#5087 )

2023-01-14 13:14:27 -06:00

requirements-wheels.txt

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

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

requirements.txt

dependency updates (#6246 )

2023-04-26 06:20:29 -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