Main Content

Create Hardware Configuration Object

Step 6 of 7 in Workflow to Deploy MATLAB Function on Raspberry Pi

  1. Create a hardware configuration object by using the targetHardware function in the MATLAB® Command Window.

    targetObject = targetHardware('hardwareName')

    For example, to create a configuration object for the Raspberry Pi® hardware, enter:

    board = targetHardware('Raspberry Pi')
    board = 

targetHardware with properties:

             Name: 'Raspberry Pi'
    DeviceAddress: '172.98.233.234'
         Username: 'pi'
         Password: '*********'
         BuildDir: '/home/pi'
      BuildAction: 'Build, load, and run'
      CoderConfig: [1×1 coder.CodeConfig]

  2. Verify the DeviceAddress, Username, and Password properties listed in the output. If necessary, change the value of the properties by using dot notation syntax.

    targetObj.propertyName = newValue

    For example, to change the device address to 173.21.22.327, enter:

    board.DeviceAddress = '173.21.22.327'

  3. If the MATLAB function has methods from Deep Learning Toolbox™, perform these steps:

    1. Set the language of code generation to C++.

      board.CoderConfig.TargetLang = 'C++';

    2. Create an arm-compute deep learning configuration object and assign it to the DeepLearningConfig property of the Raspberry Pi configuration object.

      dlcfg = coder.DeepLearningConfig('arm-compute')
dlcfg.ArmArchitecture = 'armv7';
board.CoderConfig.DeepLearningConfig = dlcfg;

    For more information, see Identify Objects Within Live Video Using ResNet-50 on Raspberry Pi Hardware and Send Inputs to MATLAB Function from Command Line of Raspberry Pi.

Related Topics

Workflow to Deploy MATLAB Function on Raspberry Pi
Next