使用NVIDIA JETSON和N万博1manbetxVIDIA驱动器平台的Matlab®Coder™支持包with embedded boards from NVIDIA®. The example uses a simple vector addition algorithm to illustrate: Connection to the embedded board from the MATLAB environment.

从连接到NVIDIA®JetsonNano的Raspberry Pi摄像头V2捕获和处理图像。NVIDIA JETSON和NVIDI万博1manbetxA驱动器平台的MATLAB®CODER™支持软件包使您可以从相机模块V2捕获图像，并将它们带入MATLAB环境进行处理。在此示例中，您将学习如何使用此功能来开发Sobel Edge检测算法。

为使用深度学习的图像分割应用程序生成和部署CUDA®可执行文件。它使用NVIDIA JETSON和NVIDIA DRI万博1manbetxVE平台的MATLAB®CODER™支持包来部署NVIDIA DRIVE™平台上的可执行文件。此示例在主机计算机上执行代码生成，并通过使用支持软件包的远程构建功能在目标平台上构建生成的代码。万博1manbetx有关更多信息，请参见语义细分网络的代码生成。

Deploy Image Processing Toolbox™ algorithms to NVIDIA® Jetson TX2 board using the GPU Coder™ Support Package for NVIDIA GPUs. Theimtophat(Image Processing Toolbox) function that performs morphological top-hat filtering on a grayscale image is used as an example to demonstrate this concept. Top-hat filtering computes the morphological opening of the image (usingiMopen(Image Processing Toolbox)) and then subtracts the result from the original image. The generated CUDA® code uses shared memory to speed up the operations on the GPU.

Generate CUDA® code from a DAGNetwork object and deploy the generated code onto the NVIDIA® Jetson® TX2 board using the GPU Coder™ Support Package for NVIDIA GPUs. This example uses the resnet50 deep learning network to classify images from a USB webcam video stream.

在NVIDIA®J万博1manbetxETSONTX2板上部署Simulink®型号，以分类网络摄像头图像。此示例通过使用预验证的深卷积神经网络实时从网络摄像头进行分类，ResNet-50。仿真软件万博1manbetx模型的示例使用凸轮a and display blocks from the MATLAB® Coder™ Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms to capture the live video stream from a webcam and display the prediction results on a monitor connected to the Jetson platform.

Generate and deploy a CUDA® executable that classifies human electrocardiogram (ECG) signals using features extracted by the continuous wavelet transform (CWT) and a pretrained convolutional neural network (CNN).

在杰森·泽维尔（Jetson Xavier）上对3-D LIDAR数据进行的接地平面分割，以在车辆附近找到障碍物。