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Mustang-V100-MX4
Page 82
Note: performance here is only for reference, it should base on the benchmark app result.
This demo is complete. Leave the console open and continue to the next section to run the
Inference Pipeline demo.
5.8.2 Run the Inference Pipeline Demo
1. While still in the
C:\Intel\computer_vision_sdk_<version>\deployment_tools\demo\
directory, run the Inference Pipeline demo:
demo_security_barrier_camera.bat
2. This demo uses the car.png image located in
C:\Intel\computer_vision_sdk_<version>\deployment_tools\demo\
to
show an inference pipeline. This demo uses three pre-trained models. The demo
uses vehicle recognition in which vehicle attributes build on each other to narrow in on
a specific attribute. The demo works as follows:
1) An object is identified as a vehicle.
2) This identification is used as input to the next model, which identifies specific
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 ...