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leccelecce 1abd3c68ec Plus Settings: add base model and name (#17738 )

* Plus Settings: add base model and name

* I18n change user model to fine-tuned model

* Move fields in drop-down for mobile

* Missed commit

* remove unused i18n key

* Add base/FTM to model Type, reorder Model Information fields

* fix missing availableModels for now

* shorten Fine-Tuned Model to Fine-Tuned

* isBaseModel is already available in config, use that

* Change Base Model to Default

* minor tweaks

* Revert "Change Base Model to Default"

This reverts commit 0191aa34f6.

2025-04-17 08:48:56 -06:00

.cspell

Various fixes (#17342 )

2025-03-24 12:25:36 -05:00

.devcontainer

Initial implementation of D-FINE model via ONNX (#16772 )

2025-02-24 08:56:01 -07:00

.github

Move database and config from homeassistant /config to addon /config (#16337 )

2025-03-24 09:05:59 -05:00

.vscode

Fix vscode launch configuration (#13795 )

2024-09-17 10:42:10 -05:00

config

Improve the devcontainer experience (#3492 )

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

docker

Include arch in name (#17667 )

2025-04-12 07:50:17 -06:00

docs

Fix yolov9 export script (#17744 )

2025-04-16 14:52:21 -06:00

frigate

LPR improvements (#17716 )

2025-04-15 09:40:12 -06:00

migrations

Small tweaks (#17168 )

2025-03-15 07:11:45 -06:00

notebooks

Update yolonas docs (#17736 )

2025-04-16 09:01:15 -06:00

web

Plus Settings: add base model and name (#17738 )

2025-04-17 08:48:56 -06:00

.dockerignore

…

.gitignore

Removed usage of PyYAML for config parsing. (#13883 )

2024-09-22 10:56:57 -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

Improve async object detector support (#17712 )

2025-04-15 08:55:38 -05:00

CODEOWNERS

Initial support for Hailo-8L (#12431 )

2024-08-29 20:19:50 -06:00

cspell.json

Work through most of the cspell warnings in python (#13794 )

2024-09-17 10:41:46 -05:00

docker-compose.yml

Devcontainer: update Mosquitto from 1.6 to 2.0 (#17415 )

2025-03-27 10:33:49 -06:00

labelmap.txt

Cleanup Detector labelmap (#4932 )

2023-01-06 07:03:16 -06:00

LICENSE

…

Makefile

Update version

2025-02-08 12:47:01 -06:00

netlify.toml

Docs improvements (#8641 )

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

package-lock.json

Implement support for notifications (#12523 )

2024-08-29 20:19:50 -06:00

process_clip.py

Improve async object detector support (#17712 )

2025-04-15 08:55:38 -05:00

pyproject.toml

Docs improvements (#8641 )

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

README_CN.md

Update README_CN (#17581 )

2025-04-07 08:32:43 -06:00

README.md

Small Tweaks (#17652 )

2025-04-11 08:21:01 -06:00

README.md

Frigate - NVR With Realtime Object Detection for IP Cameras

[English] | 简体中文

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 GPU or AI accelerator such as a Google Coral or Hailo is highly recommended. AI accelerators will outperform even the best CPUs 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