# OpenVINO™ API tutorial

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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.</br>
We recommend  running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to [Installation Guide](../../README.md).