OpenVINO™ Ecosystem Overview

OpenVINO™ is not just one tool. It is an expansive ecosystem of utilities, providing a comprehensive workflow for deep learning solution development. Learn more about each of them to reach the full potential of OpenVINO™ Toolkit.

Neural Network Compression Framework (NNCF)

A suite of advanced algorithms for Neural Network inference optimization with minimal accuracy drop. NNCF applies quantization, filter pruning, binarization and sparsity algorithms to PyTorch and TensorFlow models during training.

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OpenVINO™ Security Add-on

A solution for Model Developers and Independent Software Vendors to use secure packaging and secure model execution.

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OpenVINO™ integration with TensorFlow (OVTF)

A solution empowering TensorFlow developers with OpenVINO’s optimization capabilities. With just two lines of code in your application, you can offload inference to OpenVINO, while keeping the TensorFlow API.

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DL Streamer

A streaming media analytics framework, based on the GStreamer multimedia framework, for creating complex media analytics pipelines.

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DL Workbench

A web-based tool for deploying deep learning models. Built on the core of OpenVINO and equipped with a graphics user interface, DL Workbench is a great way to explore the possibilities of the OpenVINO workflow, import, analyze, optimize, and build your pre-trained models. You can do all that by visiting Intel® DevCloud for the Edge and launching DL Workbench on-line.

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OpenVINO™ Training Extensions (OTE)

A convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference.

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Computer Vision Annotation Tool (CVAT)

An online, interactive video and image annotation tool for computer vision purposes.

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Dataset Management Framework (Datumaro)

A framework and CLI tool to build, transform, and analyze datasets.

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