Code Generation and Third-Party Support

Generate C code, learn about OCR language data support, use the OpenCV interface, learn about fixed-point data type support, and generate HDL code

To generate ANSI/ISO C from the algorithms in this toolbox, use MATLAB Coder™, Simulink Coder™, or Embedded Coder™.

The Computer Vision Toolbox™ provides an OpenCV Interface C++ API and an 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. The support package also contains graphics processing unit (GPU) support. The OCR Language Data support package contains pretrained language data files from the OCR Engine page, tesseract-ocr, to use with the ocr function.

Highlighted Topics

C Code Generation
Generate C/C++ code and MEX functions for toolbox functions, objects, and blocks
OCR and Language Data Support Files
Support for OCR Language data files
OpenCV Interface Support
MEX-file support for OpenCV library functions
OpenCV Interface Support for Simulink
Import OpenCV code into Simulink^®
Fixed-Point
Fixed-point support for MATLAB and Simulink
HDL Code Generation
Generate HDL code for vision algorithms using HDL Coder™ and hardware-friendly blocks from Vision HDL Toolbox™.

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.

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Detect Face (Raspberry Pi2)

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

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Track Face (Raspberry Pi2)

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

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Code Generation for Face Tracking with PackNGo

Generate code from Face Detection and Tracking Using the KLT Algorithm example with packNGo function. The packNGo 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.

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