Example: Intel Movidius - Neural Computer

This tutorial will show how to get started with the Movidius NCS in the orbit environment. We'll go through downloading and installing the SDK, and then running a couple of the sample examples. This should provide a simple baseline for working with the Intel Movidius stick and SDK without getting into the details of neural networks.

Hardware / Software Utilized

  • Nodes with the Movidius Neural Compute Stick - use the Inventory/Status page find nodes with this device.
  • Node image with ubuntu 64-bit version 16.04 - for this example we'll use baseline-ubuntu-16-04-64bit.ndz since it already has many of the prerequisites installed.
  • Intel Movidius Neural Network SDK - provides a set of tools to create and run applications on the NCS device from the node. Development can be done in C/C++ or Python. Click here for more info.

Set up

To get started, please follow the instructions for creating a reservation and loading images on orbit-lab nodes under ORBIT Tutorial -> Basic Tutorials -> testbed operations and use the Inventory/Status page to find nodes with Movidius NCS. In the example we'll use node1-1 on Sandbox1 imaged with ubuntu-16-04-64bit-rzraven.ndz.

  • Once the node1-1 is imaged and turned on let's verify the system detected the device. Grep for "Movidius" in the driver messages.
    root@node1-1:~# dmesg | grep Movidius
    [    1.103633] usb 3-3: Product: Movidius MA2X5X
    [    1.103634] usb 3-3: Manufacturer: Movidius Ltd.
  • Install the SDK - download the SDK & examples from the git repository.
    root@node1-1:~# git clone
    root@node1-1:~# cd ncsdk
    root@node1-1:~# make install

At the end of the install you should see a message stating "Setup is complete" and Python environment variables updated in the .bashrc file, so make sure to source your .bashrc file before proceeding in the same terminal otherwise just open a new terminal.

root@node1-1:~# source ~/.bashrc

Run a simple example

  • Let's run the hello_ncs example to check that the Neural Compute API is able to access the NCS device. This example will just open and close the device. There are two version of this example - one in Python and the other in C++. The source for both are very short and easy to match the output with the source code. Move to the directory ncsdk/examples/apps/hello_ncs_py and type make help for a list of possible options. Run the python example
     root@node1-1:~# cd ~/ncsdk/examples/apps/hello_ncs_py/
     root@node1-1:~# make all
     root@node1-1:~# make run
    Hello NCS! Device opened normally.
    Goodbye NCS! Device closed normally.
    NCS device working.

To run the C++ example, move to the ncsdk/examples/apps/hello_ncs_cpp directory and do make all && make run. The output should be similar to the Python version.

  • Similarly we can run the other examples in ncsdk/examples. The AlexNet example (image classification) is provided in ncsdk/examples/caffe/AlexNet. Doing a make help will display all the options available. The makefile is used to download, profile, compile, check and run the network. The git repo has an outline of all the make options, please refer to this before executing this example.
Last modified 6 years ago Last modified on Feb 21, 2018, 4:31:39 PM
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