# EmbeddedCV

**Repository Path**: hellobill2020/embedded-cv

## Basic Information

- **Project Name**: EmbeddedCV
- **Description**: 适用于TI C6000系列DSP的计算机视觉库，源于SourceForge上的Embedded Computer Vision Library项目（https://sourceforge.net/projects/emcv/）
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-11-24
- **Last Updated**: 2025-11-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Embeded Computer Vision Library

## About the Project

  This Project was first started by Shiqi Yu, I got these code from SourceForge. The original link is [here](https://sourceforge.net/projects/emcv/).The code is specially for TI C6000 DSP.
  

### Notice: 

1. This Project is based on OpenCV1.x, the type define is totally different with later versions.
2. When develope embedded system, pay attention to the features which compiler can't support! Refer to "Characteristics of TMS320C6000 C++" in compiler user's guide of TI.

## Environment

 - System: Win11 Pro
 - Compiler: ti-cgt-c6000 7.4.4 ([download from TI](https://software-dl.ti.com/codegen/non-esd/downloads/download_archive.htm))
 - generator: gmake
 - cmake version: 3.22.1

## How to Build

 1. Set up "toolchain.cmake" with your toolchain location 
 2. Config project with cmake-gui
    - Specify the source code location and the binary location
    - Make sure the directory of "gmake" or "mingw32-make" has add to your *PATH* environment variable
    - Config tools and select "Unix Makefiles" or "MinGW Makefiles" and select "Specify toolchain file for cross-compiling"
    - Specify *CMAKE_BUILD_TYPE*, *CMKAE_TOOLCHAIN_FILE*, *CMAKE_INSTALL_PREIX*
    - Click **Configure** and **Generate**
 3. Change to the directory where you build
 4. Execute command "cmake --build ." or "gmake" or "mingw32-make"

## How to install

 - Execute command "cmake --install ." in the directory where you build 

## P.S.

  You can also finish above tasks with "CMake Tools"， which is an extension of Visual Studio Code.