README.md

Post-Training Quantization of YOLOv8 OpenVINO Model

This example demonstrates how to use Post-Training Quantization API from Neural Network Compression Framework (NNCF) to quantize YOLOv8n model.

The example includes the following steps:

• Download and prepare COCO-128 dataset.
• Quantize the model with NNCF Post-Training Quantization algorithm.
• Measure accuracy and performance of the floating-point and quantized models.

Install requirements

To run the example you should install the corresponding Python dependencies:

• Install NNCF from source:

pip install ../../../../

• Install 3rd party dependencies:

pip install -r requirements.txt

Run Example

The example is fully automated. Just run the following comman in the prepared Python environment:

python main.py

See also

• YOLOv8 Jupyter notebook