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# List of TODOs for autoforge-deploy module
- [x] Add configuration for python library module (use same as ML Gears). This is standalone wrt pyTorchAutoForge. The latter depends on this for the deployment instead.
- [ ] Implement prototype module for Inference management with Onnx runtime library (ORT)
- [x] Fix compilation issues to build program
- [ ] Complete implementation of class CInferenceManager_ORT version 1
- [ ] Test inference with dummy model and values and compare against python
- [ ] Implement prototype wrapper module for MATLAB/python (automatic)
- [ ] Test execution within MATLAB to check for issues due to multithreads
- [ ] Test inference of onnx model in MATLAB
- [ ] Implement prototype binding of ORT inference to python through pybind11 or gtwrap
- [ ] Add module with pre-trained/tailored models, e.g. feature matching
- [x] Configure cmake build and installation of project