Post-Training Optimization Tool Installation Guide

Prerequisites

The minimum and the recommended requirements to run the Post-training Optimization Tool are the same as in OpenVINO™.

There are two way how to install POT on your system:

  • Installation from PyPI repository
  • Installation from Intel® Distribution of OpenVINO™ toolkit package

Installation POT from PyPI

This is the simplest way to get POT and OpenVINO™ installed on your PC. Follow the step below to do that:

  1. Create a separate Python* environment and activate it.
  2. To install OpenVINO™ run pip install openvino.
  3. To install POT and other OpenVINO™ developer tools run pip install openvino-dev.

Now the POT is available in the command line by the pot alias. To verify it, run pot -h.

Install and Set Up POT from Intel® Distribution of OpenVINO™ toolkit package

In the instructions below, <INSTALL_DIR> is the directory where the Intel® distribution of OpenVINO™ toolkit is installed. Post-training Optimization Tool (POT) is distributed as a part of the OpenVINO™ release package, and to use POT as a command-line tool, you need to install OpenVINO™ as well as POT dependencies, namely Model Optimizer and Accuracy Checker. POT source files are available from the <INSTALL_DIR>/deployment_tools/tools/post_training_optimization_toolkit directory after the OpenVINO™ installation. It is recommended to create a separate Python* environment before installing the OpenVINO™ and its components. To set up the POT in your environment, follow the steps below.

Set up the Model Optimizer and Accuracy Checker components

  • To set up the Model Optimizer:
    1. Go to <INSTALL_DIR>/deployment_tools/model_optimizer/install_prerequisites.
    2. Run the script to configure the Model Optimizer:
      sudo ./install_prerequisites.sh
    3. To verify that the Model Optimizer is installed, run <INSTALL_DIR>/deployment_tools/model_optimizer/mo.py -h.
  • To set up the Accuracy Checker:
    1. Go to <INSTALL_DIR>/deployment_tools/open_model_zoo/tools/accuracy_checker.
    2. Run the setup.py script:
      python3 setup.py install
    3. Now the Accuracy Checker is available in the command line by the accuracy_check alias. To verify it, run accuracy_check -h.

Set up the POT

  1. Go to <INSTALL_DIR>/deployment_tools/tools/post_training_optimization_toolkit.
  2. Run the setup.py script:

    python3 setup.py install

    In order to enable advanced algorithms such as the Tree-Structured Parzen Estimator (TPE) based optimization, add the following flag to the installation command:

    python3 setup.py install --install-extras
  3. Now the POT is available in the command line by the pot alias. To verify it, run pot -h.