* Non-Jetson changes
Required for later commits:
- Allow base image to be overridden (and don't assume its WORKDIR)
- Ensure python3.9
- Map hwaccel decode presets as strings instead of lists
Not required:
- Fix existing documentation
- Simplify hwaccel scale logic
* Prepare for multi-arch tensorrt build
* Add tensorrt images for Jetson boards
* Add Jetson ffmpeg hwaccel
* Update docs
* Add CODEOWNERS
* CI
* Change default model from yolov7-tiny-416 to yolov7-320
In my experience the tiny models perform markedly worse without being
much faster
* fixup! Update docs
* 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
* Initial WIP dockerfile and scripts to add tensorrt support
* Add tensorRT detector
* WIP attempt to install TensorRT 8.5
* Updates to detector for cuda python library
* TensorRT Cuda library rework WIP
Does not run
* Fixes from rebase to detector factory
* Fix parsing output memory pointer
* Handle TensorRT logs with the python logger
* Use non-async interface and convert input data to float32. Detection runs without error.
* Make TensorRT a separate build from the base Frigate image.
* Add script and documentation for generating TRT Models
* Add support for TensorRT devcontainer
* Add labelmap to trt model script and docs. Cleanup of old scripts.
* Update detect to normalize input tensor using model input type
* Add config for selecting GPU. Fix Async inference. Update documentation.
* Update some CUDA libraries to clean up version warning
* Add CI stage to build TensorRT tag
* Add note in docs for image tag and model support
* fix makefile variable
* add branch for testing
* fix arm32 build
* use amd64 for web build
* install wheels in a separate layer for better parallel builds
* try build-push-action
* try using gh context
* use short sha
* cleanup
* Make it easier to run the devcontainer
* Some more improvements
* Tidy up few other things
* Better name stages
* Fix CI
* Setup everything with one click
* Allow to set IMAGE_OWNER
* Change IMAGE_OWNER to IMAGE_REPO
* Fix CI with IMAGE_REPO
* Fix nodejs installation
* Test devcontainer build as part of CI
* Build devcontainer in its own job
* Fix devcontainer cli installation
* Fix devcontainer build
* Fix devcontainer build in CI again
* Enable buildkit only
* Increase coverage of devcontainer test
* Fix devcontainer start in CI
* Ensure latest version of docker compose is used
* Fix install compose action
* Disable CI stuff which does not work until we fix them
* try a different approach for build_web
* add automatic image builds
* build web first
* try disabling log file
* chown dir
* use volume
* set cache path
* test a push
* limit to dev/master branch commits
