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Community Supported Boards Framework (#7114)

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* Make main frigate build non rpi specific and build rpi using base image

* Add boards to sidebar

* Fix docker build

* Fix docs build

* Update pr branch for testing

* remove target from rpi build

* Remove manual build

* Add push build for rpi

* fix typos, improve wording

* Add arm build for rpi

* Cleanup and add default github ref name

* Cleanup docker build file system

* Setup to use docker bake

* Add ci/cd for bake

* Fix path

* Fix devcontainer

* Set targets

* Fix build

* Fix syntax

* Add wheels target

* Move dev container to trt

* Update key and fix rpi local

* Move requirements files and set intermediate targets

* Add back --load

* Update docs for community board development

* Update installation docs to reflect different builds available

* Update docs with official and community supported headers

* Update codeowners docs

* Update docs

* Assemble main and standard builds

* Change order of pushes

* Remove community board after successful build

* Fix rpi bake file names
This commit is contained in:
Nicolas Mowen
2023-07-23 15:45:29 -06:00
committed by GitHub
parent d0413e3ea8
commit dc44a6c3b4
82 changed files with 385 additions and 101 deletions
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docs/docs/configuration/object_detectors.md
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@@ -3,6 +3,8 @@ id: object_detectors
title: Object Detectors
---
# Officially Supported Detectors
Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
## CPU Detector (not recommended)
@@ -278,3 +280,6 @@ detectors:
Replace `<your_codeproject_ai_server_ip>` and `<port>` with the IP address and port of your CodeProject.AI server.
To verify that the integration is working correctly, start Frigate and observe the logs for any error messages related to CodeProject.AI. Additionally, you can check the Frigate web interface to see if the objects detected by CodeProject.AI are being displayed and tracked properly.
# Community Supported Detectors