Mustang-V100-MX4
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3) Assign Mustang-V100-MX4 (-d HDDL) and run demo
/demo_squeezenet_download_convert_run.sh -d HDDL
3. The Image Classification demo uses the Model Optimizer to convert a SqueezeNet
model to .bin and .xml Intermediate Representation (IR) files. The Inference Engine
component uses these files.
For a brief description of the Intermediate Representation .bin and .xml files, see
Configuring the Model Optimizer.
This demo creates the directory /home/<user>/inference_engine_samples/.
This demo uses car.png in the demo directory. When the demo completes, you will
see the label and confidence for the top-10 categories:
This demo is complete. Continue to the next section to run the Inference Pipeline demo.
4.8.2 Run the Inference Pipeline Demo
1. While still in /opt/intel/computer_vision_sdk/deployment_tools/demo/,
run the
Inference Pipeline demo
.
2. Modify .sh content:
sudo gedit demo_squeezenet_download_convert_run.sh
Summary of Contents for Mustang-V100-MX4
Page 2: ...Mustang V100 MX4 Page II Revision Date Version Changes July 22 2019 1 00 Initial release ...
Page 9: ...Mustang V100 MX4 Page 1 Chapter 1 1 Introduction ...
Page 14: ...Mustang V100 MX4 Page 6 Chapter 2 2 Unpacking ...
Page 17: ...Mustang V100 MX4 Page 9 Chapter 3 3 Hardware Installation ...
Page 23: ...Mustang V100 MX4 Page 15 Chapter 4 4 OpenVINO Toolkit Installation Linux ...
Page 52: ...Mustang V100 MX4 Page 44 Chapter 5 5 OpenVINO Toolkit Installation Windows 10 ...
Page 93: ...Mustang V100 MX4 Page 85 Appendix A A Performance Test ...
Page 95: ...Mustang V100 MX4 Page 87 Appendix B B Regulatory Compliance ...
Page 97: ...Mustang V100 MX4 Page 89 C Product Disposal Appendix C ...
Page 99: ...Mustang V100 MX4 Page 91 Appendix D D Hazardous Materials Disclosure ...