yolov8_quantize_with_accuracy_control

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-seg dataset.
• Quantize the model with "AccuracyAwareQuantization" algorithm instead of "DefaultQuantization".
• 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:

  git clone https://github.com/openvinotoolkit/nncf.git
  cd nncf
  pip install .

• Install 3rd party dependencies of this example:

  pip install -r requirements.txt

Run Example

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

python main.py

See also

• YOLOv8 Jupyter notebook