docker pull openvino/workbench
|Linux||x86_64||Release 4||2.18 GB||7/2020||docker pull openvino/workbench:2020.4|
DL 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 DL Workbench allows you to easily use various sophisticated OpenVINO™ toolkit components:
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
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.
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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804