Streamlining Model Documentation with Open Model Zoo’s Documentation Updater

Jul 8, 2025

Introduction

The Open Model Zoo (OMZ) is a powerful toolkit designed to facilitate the use of deep learning models across various frameworks. One of its standout features is the Documentation Updater, a script that automates the process of updating model descriptions in the model.yml files based on markdown documentation. This blog post will delve into the purpose, features, and usage of this essential tool.

Project Purpose and Main Features

The primary goal of the Documentation Updater is to ensure that the model descriptions in the model.yml files are always in sync with the latest markdown documentation. This is crucial for maintaining accurate and up-to-date information about the models available in the Open Model Zoo.

  • Automated Updates: Automatically updates model descriptions from markdown files.
  • Ease of Use: Simple command-line interface for updating single or multiple models.
  • Integration: Works seamlessly with existing Open Model Zoo workflows.

Technical Architecture and Implementation

The Documentation Updater is implemented in Python and relies on the ruamel.yaml package for YAML file manipulation. This allows for efficient reading and writing of the model.yml files, ensuring that updates are made accurately.

pip install ruamel.yaml

To update the description of a single model, you can use the following command:

python documentation_updater.py -d <omz_dir>/models/public/<model_dir> --mode update

For checking descriptions of all public models, the command is:

python documentation_updater.py -d <omz_dir>/models/public

Setup and Installation Process

To get started with the Documentation Updater, follow these steps:

  1. Clone the Open Model Zoo repository from GitHub:
  2. git clone https://github.com/openvinotoolkit/open_model_zoo
  3. Navigate to the cloned directory:
  4. cd open_model_zoo
  5. Install the required dependencies:
  6. pip install -r requirements.txt

Usage Examples and API Overview

The Documentation Updater script is designed for flexibility. Here are some usage examples:

Updating a Single Model

To update the description of a specific model, use:

python documentation_updater.py -d /path/to/models/public/model_dir --mode update

Checking All Public Models

To check descriptions for all public models, execute:

python documentation_updater.py -d /path/to/models/public

Community and Contribution Aspects

The Open Model Zoo encourages contributions from the community. If you wish to contribute a model, ensure it adheres to the following guidelines:

  • Models must be under permissive licenses (e.g., MIT, Apache 2.0).
  • Follow the naming conventions for model files.
  • Ensure that all required files are included in your pull request.

For more details, refer to the contributing guidelines.

License and Legal Considerations

The Open Model Zoo is licensed under the Apache License, Version 2.0. By contributing to the project, you agree to the license and copyright terms. Ensure that your contributions comply with the licensing requirements to avoid delays in approval.

Conclusion

The Documentation Updater is an invaluable tool for maintaining accurate model documentation within the Open Model Zoo. By automating the update process, it saves time and reduces the risk of errors. Whether you are a developer looking to contribute models or a user seeking to utilize existing models, the Open Model Zoo provides the resources you need to succeed.

Resources

For more information, visit the official Open Model Zoo GitHub Repository.

FAQ

What is the Open Model Zoo?

The Open Model Zoo is a collection of pre-trained deep learning models that can be used with the OpenVINO toolkit.

How do I contribute a model?

To contribute a model, follow the contribution guidelines provided in the repository and ensure your model meets the licensing requirements.

What frameworks are supported?

The Open Model Zoo supports models from TensorFlow and PyTorch, as well as models in the ONNX format.