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【机器视觉学习笔记】OpenCV C++的安装、配置及多版本共存（VS2015）

发布时间：2023/12/9 37 豆豆

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下载

官方下载：Releases - OpenCV
选择需要的版本，本文中选择OpenCV – 2.4.13.6

下载完成后打开
输入要存放的位置并开始解压

（可选 —— 二选一）添加环境变量

此电脑-属性-高级系统设置

高级-环境变量

编辑Path

添加bin文件夹的路径

新建项目和配置

新建项目后配置项目的属性

配置包含目录

（根据所需选择平台）

添加解压后opencv文件夹内的include文件夹及其子文件夹的路径，如

D:\Work\OpenCV\opencv2\opencv\build\include D:\Work\OpenCV\opencv2\opencv\build\include\opencv D:\Work\OpenCV\opencv2\opencv\build\include\opencv2

配置库目录

（根据所需选择平台）

添加所需架构的路径

如

D:\Work\OpenCV\opencv2\opencv\build\x64\vc14\lib

添加库

（根据所需选择平台）

加入lib文件夹下的以".lib"结尾的库文件名
其中以"d.dll"结尾的为Debug时需要的库
不带’d’的则为Release时需要的库

这些文件名可用如下python脚本提取

import os filePath = r'D:\Work\OpenCV\opencv2\opencv\build\x64\vc14\lib'DebugLibList = [] ReleaseLibList = []for _ in os.listdir(filePath):if _.endswith('d.lib'):DebugLibList.append(_)elif _.endswith('.lib'):ReleaseLibList.append(_)print("DebugLibList:\n") for _ in DebugLibList:print(_)print("\nReleaseLibList:\n") for _ in ReleaseLibList:print(_)

Debug Libs

opencv_calib3d2413d.lib opencv_contrib2413d.lib opencv_core2413d.lib opencv_features2d2413d.lib opencv_flann2413d.lib opencv_gpu2413d.lib opencv_highgui2413d.lib opencv_imgproc2413d.lib opencv_legacy2413d.lib opencv_ml2413d.lib opencv_nonfree2413d.lib opencv_objdetect2413d.lib opencv_ocl2413d.lib opencv_photo2413d.lib opencv_stitching2413d.lib opencv_superres2413d.lib opencv_ts2413d.lib opencv_video2413d.lib opencv_videostab2413d.lib

Release Libs

opencv_calib3d2413.lib opencv_contrib2413.lib opencv_core2413.lib opencv_features2d2413.lib opencv_flann2413.lib opencv_gpu2413.lib opencv_highgui2413.lib opencv_imgproc2413.lib opencv_legacy2413.lib opencv_ml2413.lib opencv_nonfree2413.lib opencv_objdetect2413.lib opencv_ocl2413.lib opencv_photo2413.lib opencv_stitching2413.lib opencv_superres2413.lib opencv_ts2413.lib opencv_video2413.lib opencv_videostab2413.lib

（可选 —— 二选一）添加dll文件的路径

（根据所需选择平台）

添加
PATH=D:\Work\OpenCV\opencv2\opencv\build\x64\vc14\bin;%PATH%

路径为dll文件所在的路径

测试

#include <iostream> using namespace std;#include <opencv2/opencv.hpp> using namespace cv;int main(int argc, char * argv[]) {Mat TestImg = Mat(500, 500, CV_8UC3, Scalar(0, 255, 0));namedWindow("TestImg");imshow("TestImg", TestImg);waitKey(0);return 0; }