在目标硬件上运行

Deploy a MATLAB^®函数作为a standalone executable on the hardware

TheMATLAB Support Package for Raspberry Pi™ Hardwareenables you to deploy your MATLAB function on the hardware. The function is deployed as a standalone executable that continues to run even if the hardware is disconnected from the computer.

Note

You can deploy MATLAB function on the hardware fromMATLAB Online™。看Connect to Raspberry Pi Hardware Board in MATLAB Onlinefor more details.

Objects

raspi 连接到Raspberry Piboard

Functions

`targetHardware`	Create configuration object for hardware
`deploy`	DeployMATLABfunction on hardware

Apps

Raspberry Pi Resource Monitor App

监视和管理Raspberry Piresources such asMATLAB/金宝appdeployed processes, CPU, RAM, SD card, external peripheral devices, and interfaces

Topics

Automatically Run MATLAB Function on Raspberry Pi After Restart

每次重新启动硬件时，都会自动启动在Raspberry Pi硬件上部署的MATLAB函数。

Workflow to Deploy MATLAB Function on Raspberry Pi

Workflow to explain the steps involved in deploying a MATLAB function on the hardware

STEP 1:Create or Open a MATLAB Function
第2步：Run the MATLAB Function Using Live IO from Hardware
步骤3：Add the Compilation Directive to the MATLAB Function
第4步：Check the MATLAB Function Using Code Analyzer
步骤5：Check the MATLAB Function for Unsupported Calls
STEP 6:创建硬件配置对象
STEP 7:Deploy MATLAB Function on Hardware

Related Information

Functions Supported for Deployment

Deploy MATLAB Algorithms on Raspberry Pi

Deploy an Edge Detection Algorithm on Raspberry Pi

Featured Examples

Getting Started with Deploying a MATLAB Function on the Raspberry Pi Hardware

Deploy a MATLAB® function as a standalone executable on the Raspberry Pi™ Hardware using MATLAB Support Package for Raspberry Pi Hardware.

Deploy an Edge Detection Algorithm on the Raspberry Pi Hardware

Deploy an Edge detection function on the Raspberry Pi™ hardware as a standalone executable using MATLAB® Support Package for Raspberry Pi Hardware. In this example, you will learn how to acquire live image from a webcam connected to the Raspberry Pi hardware, run the edge detection function on the acquired image, and display the result on the monitor that is connected to the same Raspberry Pi hardware.

Identify Objects Within Live Video Using ResNet-50 on Raspberry Pi Hardware

Predict the objects in a live video stream on Raspberry Pi™ by deploying an image classification algorithm using MATLAB® Support Package for Raspberry Pi Hardware. The algorithm uses ResNet-50 neural network to identify the objects captured by the webcam that is connected ot the Raspberry Pi hardware.

打开实时脚本

Send Inputs to MATLAB Function from Command Line of Raspberry Pi

Deploy a MATLAB® function that accepts inputs from command line of Raspberry Pi™ using MATLAB Support Package for Raspberry Pi Hardware. In this example, a MATLAB function for adding two numbers is used for deployment.

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从MATLAB在线的Raspberry Pi的命令行发送输入到MATLAB函数

部署MATLAB®函数，该函数使用MATLAB在线的Raspberry Pi硬件的MATLAB支持软件包接受Raspberry Pi™命令行的输入。金宝app在此示例中，用于部署的MATLAB函数用于部署。

使用深度学习在Raspberry Pi上对静态图像进行分类

Generate and deploy code for an image classification algorithm using MATLAB® Support Package for Raspberry Pi™ Hardware. The algorithm uses the ResNet-50 neural network to identify the image that is passed as an input using the command line of Raspberry Pi.

打开实时脚本