* 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
* 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
* Refactor EdgeTPU and CPU model handling to detector submodules.
* Fix selecting the correct detection device type from the config
* Remove detector type check when creating ObjectDetectProcess
* Fixes after rebasing to 0.11
* Add init file to detector folder
* Rename to detect_api
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
* Add unit test for LocalObjectDetector class
* Add configuration for model inputs
Support transforming detection regions to RGB or BGR.
Support specifying the input tensor shape. The tensor shape has a standard format ["BHWC"] when handed to the detector, but can be transformed in the detector to match the model shape using the model input_tensor config.
* Add documentation for new model config parameters
* Add input tensor transpose to LocalObjectDetector
* Change the model input tensor config to use an enumeration
* Updates for model config documentation
Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>
