The torchvision.models subpackage contains definitions of models for addressing different tasks, including: image
classification, pixelwise semantic segmentation, object detection, instance segmentation, person keypoint detection,
video classification, and optical flow.
Throughout this notebook we will learn how to convert these pretrained model to OpenVINO. Here are two examples:
This is a self-contained example that relies solely on its own code.
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to Installation Guide.