113-image-classification-quantization

Accelerate Inference of MobileNet V2 Image Classification Model with Post-Training Optimization Tool in OpenVINO™

This tutorial demonstrates how to apply INT8 quantization to the MobileNet V2 Image Classification model, using the Post-Training Optimization Tool API (part of OpenVINO). The tutorial uses mobilenet-v2 and Cifar10 dataset. The code of the tutorial is designed to be extendable to custom models and datasets.

Notebook Contents

The tutorial consists of the following steps:

• Downloading and preparing the Mobilenet-v2 model and the dataset.
• Defining a data loading and an accuracy validation functionality.
• Preparing the model for quantization.
• Running optimization pipeline.
• Comparing performance of the original and quantized models.