MATLAB TIPS

UAV Toolbox Interface for Unreal Engine Projects
MATLAB Central - File Exchange - rating:4.5 (RSS)

UAV Toolbox Interface for Unreal Engine® Project allows you to co-simulate autonomous flight algorithms with Simulink® in a 3D environment using custom scenes created in Unreal Editor. This simulation environment uses the Unreal Engine by Epic Games®. You will be able to use the custom scenes to simultaneously simulate in both Unreal Engine and Simulink. By using this co-simulation framework, you can add vehicles and sensors to a Simulink model then simulate and visualize in your custom scene.

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MATLAB TIPS

export_fig
MATLAB Central - File Exchange - rating:4.9 (RSS)

This function saves a figure or single axes to one or more vector and/or bitmap file formats, and/or outputs a rasterized version to the workspace, with the following features: Figure/axes reproduced as it appears on screen Cropped/padded borders (optional) Embedded fonts (vector formats) Improved line and grid line styles Anti-aliased graphics (bitmap formats) Render images at native resolution (optional for bitmap formats) Transparent background supported (pdf, eps, png, tiff, gif) Semi-transparent patch objects supported (png, tiff) RGB, CMYK or grayscale output (CMYK only with pdf, eps, tiff) Variable image compression, including lossless (pdf, eps, jpg) Optional rounded line-caps (pdf, eps) Optionally append to file (pdf, tiff, gif) Vector formats: pdf, eps, emf, svgBitmap formats: png, tiff, jpg, bmp, gif, clipboard, export to workspace XKCD hand-drawn rendering style optionThis function is especially suited to figures...

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MATLAB TIPS

Deep Learning Toolbox Model for ResNet-18 Network
MATLAB Central - File Exchange - rating:4.9 (RSS)

ResNet-18 is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals). Opening the resnet18.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have. This mlpkginstall file is functional for R2018a and beyond. Use resnet18 instead of imagePretrainedNetwork if using a release prior to R2024a.Usage Example: % Access the trained model[net, classes] = imagePretrainedNetwork("resnet18");% See details of the architecturenet.Layers% Read the image to classifyI = imread('peppers.png');% Adjust size of the imagesz = net.Layers(1).InputSizeI = I(1:sz(1),1:sz(2),1:sz(3));% Classify the image using ResNet-18scores = predict(net, single(I));label =...

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MATLAB TIPS

MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms
MATLAB Central - File Exchange - rating:4.9 (RSS)

MATLAB Coder Support Package for NVIDIA® Jetson® and NVIDIA DRIVE™ Platforms automates the deployment of MATLAB algorithms and Simulink® models on embedded NVIDIA platforms by building and deploying the generated code on the target hardware board. It enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping and testing purposes.When used with GPU Coder, you can generate and deploy optimized CUDA® applications for deep learning, embedded vision, and radar and signal processing algorithms. For high performance, the generated code can call NVIDIA® TensorRT®.When used with MATLAB Coder, you can generate and deploy optimized C/C++ applications for deep learning, embedded vision, and radar and signal processing algorithms onto the ARM Cortex-A cores of the Jetson. GPU Coder is not required when using this workflow.When...

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MATLAB TIPS

‌Mixed-Signal Blockset Models
MATLAB Central - File Exchange - rating:4.5 (RSS)

The Mixed-Signal Blockset™ Models provide additional models and examples of typical systems such as PLL, ADC, SerDes, and SMPS highlighting analog/digital integration. The add-on includes tutorials for getting started, and integration examples with different products such as Stateflow, HDL Verifier, and Simscape Electronics.This add-on is functional for R2019a and beyond. If you have download or installation problems, please contact Technical Support - www.mathworks.com/contact_ts

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