230-yolov8-optimization

Convert and Optimize YOLOv8 with OpenVINO™

This tutorial explains how to convert and optimize the YOLOv8 PyTorch model with OpenVNO.

Notebook Contents

This tutorial demonstrates step-by-step instructions on how to run and optimize PyTorch Yolo V8 with OpenVINO.

The tutorial consists of the following steps:

• Prepare the PyTorch model.
• Download and prepare the dataset.
• Validate the original model.
• Convert the PyTorch model to OpenVINO IR.
• Validate the converted model.
• Prepare and run NNCF post-training optimization pipeline.
• Compare accuracy of the FP32 and quantized models.
• Compare performance of the FP32 and quantized models.

Installation Instructions

If you have not installed all required dependencies, follow the Installation Guide.