* 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
* 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
* 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>
* 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
