Code Generation, GPU, and Third-Party Support

C/C++ and GPU code generation and acceleration, HDL code generation, and OpenCV interface for MATLAB and Simulink

MATLAB Coder™, Simulink Coder™, and Embedded Coder™ generate ANSI-compliant C/C++ code and standalone executables from Computer Vision Toolbox™ functions that support C/C++ code generation.

The GPU Coder generates CUDA^® code and standalone executables for functions that support GPU code generation. Computer Vision Toolbox also includes functions that can automatically run on a GPU. This support requires Parallel Computing Toolbox™.

Computer Vision Toolbox provides an OpenCV Interface C++ API and an optical character recognition (OCR) language data files support package. Use the API for integrating OpenCV C++ code into MATLAB^®. You can also use this support package to build MEX files that call OpenCV functions.

Highlighted Topics

Featured Examples

Code Generation for Depth Estimation from Stereo Video

Use the MATLAB® Coder™ to generate C code for a MATLAB function, which uses the stereoParameters object produced by Stereo Camera Calibrator app or the estimateCameraParameters function. The example explains how to modify the MATLAB code in the Depth Estimation from Stereo Video example to support code generation.

Open Script

Detect Face (Raspberry Pi2)

Use the MATLAB® Coder™ to generate C code from a MATLAB file and deploy the application on an ARM target.

Open Script

Track Face (Raspberry Pi2)

Use the MATLAB® Coder™ to generate C code from a MATLAB file and deploy the application on ARM target.

Open Script

Code Generation for Face Tracking with PackNGo

Generate code from Face Detection and Tracking Using the KLT Algorithm example with packNGo function. The packNGo (MATLAB Coder) function packages all relevant files in a compressed zip file so you can relocate, unpack, and rebuild your project in another development environment without MATLAB present. This example also shows how to create a makefile for the packNGo content, rebuild the source files and finally run the standalone executable outside MATLAB environment.