Note: For latest updates of the Intel® Distribution of OpenVINO™ Deep Learning Workbench, please download from the Intel® Distribution of OpenVINO™ Toolkit website.
docker pull openvino/workbench
Tags and Pull Commands for Other Versions
|Linux*||x86_64||Release 4||2.18 GB||7/2020||docker pull openvino/workbench:2020.4|
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
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.
Related Containers and Solutions
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.