* Update to latest tensorrt (8.6.1) release
* Build trt libyolo_layer.so in container
* Update tensorrt_models script to convert models from the frigate container
* Fix typo in model script
* Fix paths to yolo lib and models folder
* Add S6 scripts to test and convert specified TensortRT models at startup.
Rearrange tensorrt files into a docker support folder.
* Update TensorRT documentation to reflect the new model conversion process and minimum HW support.
* Fix model_cache path to live in config directory
* Move tensorrt s6 files to the correct directory
* Fix issues in model generation script
* Disable global timeout for s6 services
* Add version folder to tensorrt model_cache path
* Include TensorRT version 8.5.3
* Add numpy requirement prior to removal of np.bool
* This TRT version uses a mixture of cuda dependencies
* Redirect stdout from noisy model conversion
* Initial audio classification model implementation
* fix mypy
* Keep audio labelmap local
* Cleanup
* Start adding config for audio
* Add the detector
* Add audio detection process keypoints
* Build out base config
* Load labelmap correctly
* Fix config bugs
* Start audio process
* Fix startup issues
* Try to cleanup restarting
* Add ffmpeg input args
* Get audio detection working
* Save event to db
* End events if not heard for 30 seconds
* Use not heard config
* Stop ffmpeg when shutting down
* Fixes
* End events correctly
* Use api instead of event queue to save audio events
* Get events working
* Close threads when stop event is sent
* remove unused
* Only start audio process if at least one camera is enabled
* Add const for float
* Cleanup labelmap
* Add audio icon in frontend
* Add ability to toggle audio with mqtt
* Set initial audio value
* Fix audio enabling
* Close logpipe
* Isort
* Formatting
* Fix web tests
* Fix web tests
* Handle cases where args are a string
* Remove log
* Cleanup process close
* Use correct field
* Simplify if statement
* Use var for localhost
* Add audio detectors docs
* Add restream docs to mention audio detection
* Add full config docs
* Fix links to other docs
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Co-authored-by: Jason Hunter <hunterjm@gmail.com>
* Add ccache to libusb and nginx build scripts
* Add ccache support to Dockerfile for faster builds
* Add ccache to PATH and use it for compiling nginx with Makefile in build_nginx.sh script
* Update go2rtc to 1.3.0
* Increment to 1.3.1
* Increment to 1.3.2
* Update webrtc player to match latest
* Update version to 1.4.0
* Update mse player
* Update birdseye mse player
* remove logs
* Update docs to link to new version
* Final web lint fixes
* Update versions
* Upgrade s6-overlay from 3.1.3.0 to 3.1.4.0
* Add go2rtc healthcheck service
Also don't make go2rtc exits cause the container to fail.
* Reword healthcheck message
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add timeout to go2rtc healthcheck
* Update healthcheck message
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Give additional time for go2rtc start/restart
* Fix typo
* Avoid creating go2rtc config multiple times
* Fix healthcheck not starting
* Fix sleep
* Fix more hidden logs
* Decrease time window and use curl's timeout flag
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Refator s6 scripts to the new format
* Remove unneeded workaround
* Migrate logging to new s6 format
* Remove more unnecessary s6 variables
* Fix prepare-log and when go2rtc is not present in config
* Restart the whole container if either Frigate or go2rtc fails
* D
* Fix service name in finish
* Fix nginx finish comment
* Restart improvements
* Fix devcontainer
* Fix format
* Update Dockerfile
Co-authored-by: Felipe Santos <felipecassiors@gmail.com>
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add missing labels to default labelmap. Fill any holes with "unknown". Remove unique labelmap for tensorrt.
* Replace "truck" with "car" on Openvino labelmap
* 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
* Add sub filter for monaco editor
* Don't include files for unused languages
* Move necessary files and cleanup build
* Update sub filter for new location
* Still need to include default editor worker
* Fix error when model already exists
* Log all services to RAM
* Gracefully handle shutdown
* Add logs route
* Remove tail
* Return logs for services
* Display log chooser with copy button
* show logs for specific services
* Clean up settings logs
* Add copy functionality to logs
* Add copy functionality to logs
* Fix merge
* Set archive count to 0
Co-authored-by: Felipe Santos <felipecassiors@gmail.com>
* Log all services to RAM
* Fix tests workdir
* Rotate logs when they reach 10MB and keep only 1 archive
* Gracefully handle shutdown
* Add note about gracetime not working
* Fix logs permission, create fake logs for devcontainer
* Remove empty line
* Update docker/rootfs/etc/services.d/frigate/run
* Fix fake Frigate shebang
* Initial work for adding OpenVino detector. Not functional
* Load model and submit for inference.
Sucessfully load model and initialize OpenVino engine with either CPU or GPU as device.
Does not parse results for objects.
* Detection working with ssdlite_mobilenetv2 FP16 model
* Add OpenVIno support and model to docker image
* Add documentation for OpenVino detector configuration
* Adds support for ARM32/ARM64 and the Myriad X hardware
- Use custom-built openvino wheel for all platforms
- Add libusb build without udev for NCS2 support
* Add documentation around Intel CPU requirements and NCS2 setup
* Print all available output tensors
* Update documentation for config parameters
* 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
