The steps for converting models from ONNX format to OpenVINO IR are covered in a previous tutorial. However, models trained on custom datasets will need to be converted. The YOLOX models are already available in OpenVINO IR format, so Python is not required for this tutorial. This method automatically configures the Python installation to be accessible from the command line. We can install Python 3.8 from the Windows Store. Python 3.6, 3.7, or 3.8 64-bit are needed to convert a model from ONNX format to OpenVINO’s intermediate representation (IR). Note: Make sure to select one of the Add CMake to the system PATH options during the installation process. Still, the latest release of CMake 64-bit is available at the link below. However, we do not need it for this project. The official OpenVINO™ installation guide lists CMake as a requirement. If not, they can be downloaded from the link below. The Visual C++ Redistributables should be installed along with Visual Studio.
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