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:
- Clone the Open Model Zoo repository from GitHub:
- Navigate to the cloned directory:
- Install the required dependencies:
git clone https://github.com/openvinotoolkit/open_model_zoo
cd open_model_zoo
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.