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.

Workflow to Deploy MATLAB Function on Raspberry Pi

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