* make go2rtc always rebuild config at startup
/dev/shm can be left mounted (in fact im pretty sure it's always left mounted) on the docker host after shutting down the frigate container.
If we only check that the file doesn't exist, stale data gets re-read every startup
This will make troubleshooting a nightmare for the average user.
I had given up troubleshooting go2rtc several times because of this.
* generate config after supervisor data is loaded
* Fix fi
* fix fi
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support rknn on all socs
* apply changes from review and fix post process bug
* apply code formatting
* update tip in object_detectors docs
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* support for other yolov models and config checks
* apply code formatting
* Information about core mask and inference speed
* update rknn postprocess and remove params
* update model selection
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* implement nginx caching
* bypass cache from frigate frontend, reduce to 5s
* set cache time to 2s
* cache 200s for 5s
* exclude vod endpoints from cache
* Revert numpy upgrade
* Upgrade arm64 onnx version to match amd64
* Increase CODEOWNERS granularity
Not sure if it has an effect since I don't have repository write access
* 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
* 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
* Check ffmpeg version instead of checking for presence of BTBN_PATH
* Query ffmpeg version in s6 run script instead of subprocessing in every import
* Define LIBAVFORMAT_VERSION_MAJOR in devcontainer too
* Formatting
* Default ffmpeg version to current btbn version so unit tests pass
* 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
* Add ability to export frigate clips
* Add http endpoint
* Add dir to nginx
* Add webUI
* Formatting
* Cleanup unused
* Optimize timelapse
* Fix pts
* Use JSON body for params
* Use hwaccel to encode when available
* Print ffmpeg command when fail
* Print ffmpeg command when fail
* Add separate ffmpeg preset for timelapse
* Add docs outlining the export directory
* Add export docs
* Use ''
* Fix playlist max time
* Lower max playlist time
* Add api docs for export
* isort fixes
* Add isort and ruff linter
Both linters are pretty common among modern python code bases.
The isort tool provides stable sorting and grouping, as well as pruning
of unused imports.
Ruff is a modern linter, that is very fast due to being written in rust.
It can detect many common issues in a python codebase.
Removes the pylint dev requirement, since ruff replaces it.
* treewide: fix issues detected by ruff
* treewide: fix bare except clauses
* .devcontainer: Set up isort
* treewide: optimize imports
* treewide: apply black
* treewide: make regex patterns raw strings
This is necessary for escape sequences to be properly recognized.
* Migrate db path to /config
* Ensure oneshot runs
* Put logic inside of Frigate's run
* Use new db default path in code
* Fix missing config dir
* Upgrade yq to 4.33.3
* 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
---------
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Auto discover internal WebRTC candidate for add-on
* Write logs to stderr
* Fix port number
* Integrate with newest changes
* Update docs
* Use local variable more
* Use Python to write file, fix JSON->YAML
* Store into variable
* Update docs/docs/configuration/live.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/live.md
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Update docs/docs/configuration/live.md
* Update docs/docs/configuration/live.md
* Refator s6 scripts to the new format
* Remove unneeded workaround
* Update docker/rootfs/usr/local/go2rtc/create_config.py
* 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>
* Improve scripts logging
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
* 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
* Add ffprobe endpoint
* Get ffprobe for multiple inputs
* Copy ffprobe in output
* Fix bad if statement
* Return full output of ffprobe process
* Return full output of ffprobe process
* Make ffprobe button show dialog with output and option to copy
* Add driver names to consts
* Add driver env var name
* Setup general tracking for GPU stats
* Catch RPi args as well
* Add util to get radeontop results
* Add real amd GPU stats
* Fix missed arg
* pass config
* Use only the values
* Fix vram
* Add nvidia gpu stats
* Use nvidia stats
* Add chart for gpu stats
* Format AMD with space between percent
* Get correct nvidia %
* Start to add support for intel GPU stats
* Block out RPi as util is not currently available
* Formatting
* Fix mypy
* Strip for float conversion
* Strip for float conversion
* Fix percent formatting
* Remove name from gpu map
* Add tests and fix AMD formatting
* Add nvidia gpu stats test
* Formatting
* Add intel_gpu_top for testing
* Formatting
* Handle case where hwaccel is not setup
* Formatting
* Check to remove none
* Don't use set
* Cleanup and fix types
* Handle case where args is list
* Fix mypy
* Cast to str
* Fix type checking
* Return none instead of empty
* Fix organization
* Make keys consistent
* Make gpu match style
* Get support for vainfo
* Add vainfo endpoint
* Set vainfo output in error correctly
* Remove duplicate function
* Fix errors
* Do cpu & gpu work asynchonously
* Fix async
* Fix event loop
* Fix crash
* Fix naming
* Send empty data for gpu if error occurs
* Show error if gpu stats could not be retrieved
* Fix mypy
* Fix test
* Don't use json for vainfo
* Fix cross references
* Strip unicode still
* await vainfo response
* Add gpu deps
* Formatting
* remove comments
* Use empty string
* Add vainfo back in
* 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
