* Add Deepstack detector plugin with configurable API URL, timeout, and API key
* Update DeepStack plugin to recognize 'truck' as 'car' for label indexing
* Add debug logging to DeepStack plugin for better monitoring and troubleshooting
* Refactor DeepStack label loading from file to use merged labelmap
* Black format
* add documentation draft
* fix link to codeproject website
* Apply suggestions from code review
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
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Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
It supports the same entrypoints, given that tflite is a small cut-out
of the big tensorflow picture.
This patch was created for downstream usage in nixpkgs, where we don't
have the tflite python package, but do have the full tensorflow package.
* 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
* 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
