OpenVINO™ Toolkit Deep-Learning Workbench

Note: For latest updates of the Intel® Distribution of OpenVINO™ Deep Learning Workbench, please download from the Intel® Distribution of OpenVINO™ Toolkit website. 

Pull Command

docker pull openvino/workbench

Tags and Pull Commands for Other Versions

Description

Deep-learning workbench is a web-based graphical environment that enables users to visualize, fine-tune, and compare performance of deep-learning models on various Intel® architecture configurations, such as CPU, Intel® Processor Graphics (GPU), Intel® Movidius™ Neural Compute Stick 2 (NCS 2), and Intel® Vision Accelerator Design with Intel® Movidius™ VPUs.

The intuitive web-based interface of the Deep-learning workbench allows you to easily use various sophisticated OpenVINO™ toolkit components:

• Model Downloader to download models from the Open Model Zoo with pretrained models for a range of different task

• Model Optimizer to transform models into the Intermediate Representation (IR) format

• Post-Training Optimization toolkit to calibrate a model and then execute it in the INT8 precision

• Accuracy Checker to determine the accuracy of a model

Documentation and Sources

Get Started
Docker* Repository
Readme
Release Notes
Get Started Guide

Code Sources
Support Forum

License Agreement

LEGAL NOTICE: By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the license agreement for additional details.

Components:

• Ubuntu*
• Intel® Distribution of OpenVINO™ Toolkit