Model can be adjusted ahead of time to NHWC to avoid transpose on CPU,
for example. All the model information is already presented in the
configuration, and the stringent checks implemented in openvino are not
present on other backends anyway. OpenVINO will properly report issues
with mismatched layouts anyhow.
* improve spacing of face selection in mobile drawer
* fix spacing
* sort face names alphabetically
* Improve face selection dialog
* Use a state to track when face image loads
The naturalWidth and naturalHeight will always be 0 until the image loads. So we use onLoad and a state to track loading and then calculate the area after it has loaded
* Verify that a camera only tracks objects that are possible to track
* Fix test
* genai docs tweak
* Disable openvino model cache
* Clenaup
* Sanitize floats for estimated speed and angle
Users can configure speed zones in such a way that velocity estimates from Norfair cause a value of inf to be stored as an estimated speed. FastAPI doesn't serialize inf as a float, so trying to return this value would result in an API error. Sanitizing the value before storing should correct this.
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* 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.
* Initial commit that adds YOLOv5 and YOLOv8 support for OpenVINO detector
* Fixed double inference bug with YOLOv5 and YOLOv8
* Modified documentation to mention YOLOv5 and YOLOv8
* Changes to pass lint checks
* Change minimum threshold to improve model performance
* Fix link
* Clean up YOLO post-processing
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Initial commit to enable Yolox models with OpenVINO in Frigate
* Fix ModelEnumtType import error in openvino.py
* Initial edit of the docs to include verbage about yolox
* Initial edit of the docs to include verbage about yolox
* Elaborate configuration and limitations in docs.
* Add capability to dynamically determine number of classes in yolox model
* Further refinements
* Removed unnecesarry comments, improved documentation, addressed PR items
* Fixed lint formatting issues