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Nicolas Mowen fe4fb645d3 Save exports to database (#11040 )

* Save review thumbs in dedicated folder

* Create exports table

* Save exports to DB and save thumbnail for export

* Save full frame always

* Fix rounded corners

* Save exports that are in progress

* No need to remove spaces

* Reorganize apis to use IDs

* Use new apis for frontend

* Get video playback working

* Fix deleting and renaming

* Import existing exports to DB

* Implement downloading

* Formatting

2024-04-19 17:11:41 -05:00

.devcontainer

Remove deprecated RTMP port 1935 (#9137 )

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

.github

Bump actions/setup-python from 5.0.0 to 5.1.0 (#10703 )

2024-04-07 06:13:26 -06:00

.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

Implement config migration and restructure config for new review format (#10961 )

2024-04-13 06:08:20 -06:00

docs

Remove use_experimental config as part of config migration (#11003 )

2024-04-17 07:02:59 -05:00

frigate

Save exports to database (#11040 )

2024-04-19 17:11:41 -05:00

migrations

Save exports to database (#11040 )

2024-04-19 17:11:41 -05:00

web

Save exports to database (#11040 )

2024-04-19 17:11:41 -05:00

.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