OpenVINO™ API tutorial

This notebook explains the basics of the OpenVINO Runtime API. It provides a segmentation and classification IR model and a segmentation ONNX model. The model files can be replaced with your own models.

Despite the exact output being different, the process remains the same.

Notebook Contents

The OpenVINO API tutorial consists of the following steps:

Loading OpenVINO Runtime and Showing Info
Loading a Model
- OpenVINO IR Model
- ONNX Model
- PaddlePaddle Model
- TensorFlow Model
- TensorFlow Lite Model
- PyTorch Model
Getting Information about a Model
- Model Inputs
- Model Outputs
Doing Inference on a Model
Reshaping and Resizing
- Change Image Size
- Change Batch Size

Installation Instructions

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.