This notebook demonstrates how to perform inference on a PyTorch semantic segmentation model using OpenVINO.
The notebook uses OpenVINO Model Optimizer to convert the open source fastseg semantic segmentation model, trained on the CityScapes dataset, to OpenVINO IR. It also shows how to perform segmentation inference on an image using OpenVINO Inference Engine and compares the results of the PyTorch model with the IR model.
If you have not done so already, please follow the Installation Guide to install all required dependencies.