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Add-On Required: This feature requires the MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms add-on.



image(imDispObj,img) displays the image img on the NVIDIA DRIVE® or Jetson™ target desktop. This functionality requires the Simple DirectMedia Layer (SDL) library to be installed on the target platform. For more information, see Install and Setup Prerequisites for NVIDIA Boards

When the image function is used during simulation within the MATLAB® environment, it displays the images on your host computer by using the imshow (Image Processing Toolbox) function.


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This example shows how to use imageDisplay to display images on the NVIDIA® Jetson TX2 target. This example requires a USB camera connected to the NVIDIA target.

Create a live hardware connection from the MATLAB software to the NVIDIA hardware by using the jetson function. To create a live hardware connection object, provide the host name or IP address, user name, and password of the target board. For example:

hwobj = jetson('jetson-board-name','ubuntu','ubuntu');

Create a MATLAB function liveCapture.m that connects to the webcam on a Jetson TX2 board and displays the image on the board. This function acts as the entry-point for code generation.

function liveCapture() %#codegen

% To enable code generation for hardware interfaces
hwobj = jetson;
w = webcam(hwobj,1,[1280 800]);
d = imageDisplay(hwobj);

for k = 1:2000
    % Capture the image from the webcam on hardware.
    img = snapshot(w);
    % Display image.

Create a GPU code configuration object for generating an executable. Use the coder.hardware function to create a configuration object for the Jetson platform and assign it to the Hardware property of the code configuration object cfg.

cfg = coder.gpuConfig('exe');
cfg.GenerateReport = true;
cfg.Hardware = coder.hardware('NVIDIA Jetson');
cfg.GenerateExampleMain = 'GenerateCodeAndCompile';

The file is generated as part of code generation process. For this example, you can use this file without modification.

To generate CUDA code, use the codegen command and pass the GPU code configuration object along with the liveCapture entry-point function. After the code generation takes place on the host, the generated files are copied over and built on the target.

codegen -config cfg liveCapture

Use the runApplication function to launch the executable on the TX2 board.


Input Arguments

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System object™ to display images on the target desktop. To display the images, use the image function of the imDispObj object.

Input image, specified as a m-by-n or m-by-n-by-3 numeric array. When the images is a 2-D matrix m-by-n, the image is displayed in grayscale.

Data Types: uint8

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Version History

Introduced in R2018b