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spacebares c6f0abf732 Show All and Solo selection buttons for MultiSelect. (#4723 )

* Show All and Solo selection buttons for MultiSelect.

Similar to previous behavior of viewing events for single camera with 1 click, or All.

* Fix visual bug with MultiSelect when selecting similar named options.
   eg. options like frontdoor, frontside, backdoor, etc

* fix key prop for lint

* Change MultiSelect onSolo to onSelectSingle

* cosmetic changes on MultiSelect

* Different look for SelectSingle buttons

* Show All button is aligned with the items below it, no matter the popup size

* MultiSelect ShowAll unfocused by default

2022-12-17 17:54:54 -06:00

.devcontainer

Set User Agent for FFmpeg calls (#4555 )

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fix image build (#4503 )

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.vscode

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config

Improve the devcontainer experience (#3492 )

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docker

Optimize nginx & recordings (#4688 )

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docs

Use presets by default (#4597 )

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frigate

Optimize nginx & recordings (#4688 )

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migrations

Limit recording retention to available storage (#3942 )

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web

Show All and Solo selection buttons for MultiSelect. (#4723 )

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.dockerignore

Improve the devcontainer experience (#3492 )

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.gitignore

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.pylintrc

use fstr log style

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benchmark.py

Refactor to simplify support for additional detector types (#3656 )

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docker-compose.yml

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Dockerfile

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labelmap.txt

refactor and reduce false positives

2020-09-17 07:37:27 -05:00

LICENSE

switch to MIT license

2020-07-26 12:07:47 -05:00

Makefile

Log all services to memory (#4587 )

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process_clip.py

Refactor to simplify support for additional detector types (#3656 )

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README.md

update docs url

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requirements-dev.txt

Easy Python Updates (#4424 )

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requirements-ov.txt

Add OpenVino Detector (#3768 )

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requirements-wheels.txt

Use UTC for recordings (#4656 )

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requirements.txt

Use requirement file for pip installs (#3090 )

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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 RTMP to reduce the number of connections to your camera