Import, visualize, process, analyze and export hyperspectral data

Debug and test HDL code on Intel FPGAs and SoC FPGAs

Use GPU Coder to generate optimized CUDA code for deep learning networks

Pretrained DarkNet-53 network model for image classification

Pretrained DarkNet-19 network model for image classification

Acquire and analyze data from Analog Devices ADALM1000 devices.

Acquire video and images from Teledyne DALSA Sapera cameras.

Land cover basemap data for geographic visualization

Gray terrain basemap data for geographic visualization

Import OpenCV functions into Simulink.

Submit jobs to MATLAB Parallel Server with Grid Engine

Import, visualize, process, analyze and export hyperspectral data

Connect to Velodyne LiDAR sensors and stream point clouds directly into MATLAB for processing and visualization

Gray terrain basemap data for geographic visualization

Send and receive CAN messages with NI-XNET CAN devices.

Design, analyze, and prototype for Intel SoC and FPGA devices

Gray land, white water basemap data for geographic visualization

Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.

This support package enables you to deploy a deep learning processor on Intel® FPGA and SoC based hardware from MATLAB