OpenVINO

Great Reads

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

by Ragesh_Hajela

OpenVINO offers several tools for making a model run faster and use less memory. In this article we look at: what each tools does, when you should use model optimizer, POT, and NNCF, and frequently asked questions.

Latest Articles

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

by Ragesh_Hajela

All Articles

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OpenVINO

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Developer Guide: Model Optimization with the OpenVINO™ Toolkit

by Ragesh_Hajela

How to build a Python wheel package from the main branch of OpenVINO™?

by Adrian Boguszewski

A step-by-step walkthrough on OpenVINO compilation from source

How to convert PyTorch model and run it with OpenVINO™ Toolkit

by Adrian Boguszewski

A very simple guide for every PyTorch Developer wanting to improve the inference performance

Human Action Recognition with OpenVINO™ Toolkit

by Paula_Ramos

In this article, you will learn how to work with live human action recognition using the OpenVINO™ AI toolkit in a synchronized schedule.

Improve AI Application Performance and Portability with Automatic Device Plugin

by Ragesh_Hajela

New features in the Intel® OpenVINO™ toolkit enable you to easily optimize for throughput or latency, and help you to “write once, deploy anywhere.”

Named Entity Recognition Using OpenVINO™ Toolkit

by Ragesh_Hajela

NER systems can pull entities from an unstructured collection of natural language documents called as knowledge base. In this article we will show entity recognition from simple text using OpenVINO™ toolkit and you will see how to create the following pipeline to perform entity extraction.

OpenVINO™ Integration With TensorFlow Now Comes With Docker Support

by Intel

In this post, we will start by using Prebuilt Images available on DockerHub. Then we will go through the exact commands you’ll need to access an Object Detection notebook via Docker.

OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier

by Devang Aggarwal

In this article we explain easy it is to install the OpenVINO Execution Provider for ONNX Runtime on your Linux or Windows machines and get that faster inference for your ONNX deep learning models.

Performing Speech-to-Text Recognition with OpenVINO™

by Adrian Boguszewski

In this article, I will show you how to easily run inference on speech-to-text recognition models using OpenVINO™ so you can start applying this capability in your own applications.

Streamline PyTorch with Intel OpenVINO™ integration with Torch-ORT

by Intel

OpenVINO integration with Torch-ORT gives PyTorch developers the ability to stay within their chosen framework all the while still getting the speed and inferencing power of OpenVINO™ toolkit through inline optimizations used to accelerate your PyTorch applications.