IEI Technology Mustang-M2BM-MX2 Bedienungsanleitung

Mustang-M2BM-MX2

Page I

User Manual

MODEL:

Intel®Vision Accelerator Design with Intel®Movidius™ VPU

Rev. 1.00 - July 23, 2019

Mustang-M2BM-MX2

Mustang-M2BM-MX2 CPU Ca

Mustang-M2BM-MX2

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Revision

Date Version Changes

July 23, 2019 1.00 Initial release

Mustang-M2BM-MX2

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The information in this document is subject to change without prior notice in order to

improve reliability, design and function and does not represent a commitment on the part

of the manufacturer.

In no event will the manufacturer be liable for direct, indirect, special, incidental, or

consequential damages arising out of the use or inability to use the product or

documentation, even if advised of the possibility of such damages.

This document contains proprietary information protected by copyright. All rights are

reserved. No part of this manual may be reproduced by any mechanical, electronic, or

other means in any form without prior written permission of the manufacturer.

TRADEMARKS

All registered trademarks and product names mentioned herein are used for identification

purposes only and may be trademarks and/or registered trademarks of their respective

owners.

Mustang-M2BM-MX2

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Manual Conventions

WARNING

Warnings appear where overlooked details may cause damage to the

equipment or result in personal injury. Warnings should be taken

seriously.

CAUTION

Cautionary messages should be heeded to help reduce the chance of

losing data or damaging the product.

NOTE

These messages inform the reader of essential but non-critical

information. These messages should be read carefully as any directions

or instructions contained therein can help avoid making mistakes.

Mustang-M2BM-MX2

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Table of Contents

1 INTRODUCTION.......................................................................................................... 1

1.1 INTRODUCTION........................................................................................................... 2

1.2 FEATURES................................................................................................................... 3

1.3 DIMENSIONS............................................................................................................... 3

1.4 TECHNICAL SPECIFICATIONS ...................................................................................... 4

2 UNPACKING ................................................................................................................. 5

2.1 ANTI-S TAT I C PRECAUTIONS ........................................................................................ 6

2.2 UNPACKING PRECAUTIONS......................................................................................... 6

2.3 PACKING LIST............................................................................................................. 7

3 HARDWARE INSTALLATION................................................................................... 8

3.1 ANTI-S TAT I C PRECAUTIONS ........................................................................................ 9

3.2 INSTALLATION CONSIDERATIONS................................................................................ 9

3.3 HARDWARE INSTALLATION........................................................................................11

4 OPENVINO™ TOOLKIT INSTALLATION (LINUX)........................................... 12

4.1 SYSTEM REQUIREMENTS .......................................................................................... 13

4.2 ONLINE INSTALLATION GUIDE.................................................................................. 13

4.3 INSTALLATION -STEP BY STEP (2019 R1)................................................................. 14

4.3.1 Install the Intel® Distribution of OpenVINO™ Toolkit Core Components..... 15

4.3.2 Set the Environment Variables ......................................................................... 18

4.3.3 Configure the Model Optimizer ....................................................................... 19

4.4 STEPS FOR INTEL®VISION ACCELERATOR DESIGN WITH INTEL®MOVIDIUS™VPUS

MUSTANG-M2BM-MX2 DRIVER INSTALLATION........................................................... 21

4.5 USE THE DEMO SCRIPTS TO VERIFY YOUR INSTALLATION........................................ 23

4.5.1 Run the Image Classification Demo ................................................................ 24

4.5.2 Run the Inference Pipeline Demo .................................................................... 25

4.6 INSTALLATION -STEP BY STEP (OPENVINO 2018 R5) ............................................. 28

4.6.1 Install External Software Dependencies .......................................................... 28

4.6.2 Install the Intel® Distribution of OpenVINO™ Toolkit Core Components..... 29

Mustang-M2BM-MX2

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4.6.3 Set the Environment Variables ......................................................................... 31

4.6.4 Configure the Model Optimizer ....................................................................... 32

4.7 STEPS FOR INTEL®VISION ACCELERATOR DESIGN WITH INTEL®MOVIDIUS™VPUS

MUSTANG-M2BM-MX2 DRIVER INSTALLATION........................................................... 34

4.8 USE THE DEMO SCRIPTS TO VERIFY YOUR INSTALLATION........................................ 36

4.8.1 Run the Image Classification Demo ................................................................ 37

4.8.2 Run the Inference Pipeline Demo .................................................................... 38

5 OPENVINO™ TOOLKIT INSTALLATION (WINDOWS 10) .............................. 41

5.1 SYSTEM REQUIREMENTS .......................................................................................... 42

5.2 ONLINE INSTALLATION GUIDE.................................................................................. 42

5.3 INSTALLATION -STEP BY STEP (2019 R1)................................................................. 43

5.3.1 Install the Intel® Distribution of OpenVINO™ Toolkit Core Components..... 43

5.3.2 Install the External Software Dependencies .................................................... 45

5.3.2.1 Microsoft Visual Studio* with C++ and MSBuild ................................... 46

5.3.2.2 Install CMake* 3.4 or higher................................................................ 49

5.3.2.3 Install Python* 3.6.5.............................................................................. 50

5.3.3 Set the Environment Variables................................................................... 52

5.3.4 Configure the Model Optimizer ....................................................................... 53

5.3.4.1 Model Optimizer Configuration Steps...................................................... 54

5.4 INSTALLATION STEPS FOR INTEL®VISION ACCELERATOR DESIGN WITH INTEL®

MOVIDIUS™VPUS MUSTANG-M2BM-MX2................................................................ 57

5.5 USE THE DEMO SCRIPTS TO VERIFY YOUR INSTALLATION........................................ 57

5.5.1 Run the Image Classification Demo ................................................................ 59

5.5.2 Set Up a Neural Network Model...................................................................... 59

5.6 INSTALLATION -STEP BY STEP (2018 R5)................................................................. 62

5.6.1 Install the Intel® Distribution of OpenVINO™ Toolkit Core Components..... 62

5.6.2 Install the External Software Dependencies .................................................... 65

5.6.2.1 Microsoft Visual Studio* with C++ and MSBuild ................................... 65

5.6.2.2 Install the Build Tools for Visual Studio 2017.......................................... 68

5.6.2.3 Install CMake* 3.4 or higher .................................................................... 69

5.6.2.4 Install Python* 3.6.5 ................................................................................. 70

5.6.3 Set the Environment Variables ......................................................................... 72

5.6.4 Configure the Model Optimizer ....................................................................... 72

5.6.4.1 Model Optimizer Configuration Steps...................................................... 73

Mustang-M2BM-MX2

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5.7 INSTALLATION STEPS FOR INTEL®VISION ACCELERATOR DESIGN WITH INTEL®

MOVIDIUS™VPUS MUSTANG-M2BM-MX2................................................................ 76

5.8 USE THE DEMO SCRIPTS TO VERIFY YOUR INSTALLATION........................................ 76

5.8.1 Run the Image Classification Demo ................................................................ 78

5.8.2 Run the Inference Pipeline Demo .................................................................... 79

A PERFORMANCE TEST ............................................................................................ 82

B REGULATORY COMPLIANCE .............................................................................. 84

C PRODUCT DISPOSAL .............................................................................................. 86

D HAZARDOUS MATERIALS DISCLOSURE ......................................................... 88

Mustang-M2BM-MX2

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List of Figures

Figure 1-1: Mustang-M2BM-MX2 ...................................................................................................2

Figure 1-2: Dimensions (mm) ........................................................................................................3

Mustang-M2BM-MX2

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Chapter

1 Introduction

Mustang-M2BM-MX2

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1.1 Introduction

Figure 1-1: Mustang-M2BM-MX2

The Mustang-M2BM-MX2 is a deep learning convolutional neural network acceleration

card for speeding up AI inference, in a flexible and scalable way. Equipped with Intel®

Movidius™ Myriad™ X Vision Processing Unit (VPU), the Mustang-M2BM-MX2 M.2 card

can be used with the existing system, enabling high-performance computing without

costing a fortune. VPUs can run AI faster, and is well suited for low power consumption

applications such as surveillance, retail and transportation. With the advantage of power

efficiency and high performance to dedicate DNN topologies, it is perfect to be

implemented in AI edge computing device to reduce total power usage, providing longer

duty time for the rechargeable edge computing equipment.

"Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit" is based on

convolutional neural networks (CNN), the toolkit extends workloads across Intel®

hardware and maximizes performance. It can optimize pre-trained deep learning model

such as Caffe, MXNET, Tensorflow into IR binary file then execute the inference engine

across Intel®-hardware heterogeneously such as CPU, GPU, Intel® Movidius™ Myriad X

VPU, and FPGA.

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