opencvGPU版visualStudio2022配置 windows

opencvGPU版visualStudio2022配置 windows

前言

提示：这里可以添加本文要记录的大概内容：

只为记录个人配置过程，有需要也可以看一下

提示：以下是本篇文章正文内容，下面案例可供参考

一、使用步骤

1.首先将压缩包解压出来，放到固定位置，比如D:\opencv450GPU

2.配置系统环境变量

在搜索栏输入系统设置，打开高级系统设置

打开环境变量

找到Path 点编辑

在变量值中加入
D:\opencv450GPU\install\x64\vc15\bin;
然后 点击 应用 确定

3.在VisualStudio上配置

在属性管理器里配置比较方便，也便于其他新建项目使用，后期只需要添加现有属性表就行

例如

右键点击属性

包含目录添加两个路径

库目录加入一个路径

在输入中加入附加依赖项

在这个目录下找到对应依赖项输入

如果配置的是debug属性表就把1debug.txt里的内容全部复制到附加依赖项里
如果配置的是release属性表就把1release.txt里的内容全部复制到附加依赖项里

debug里内容如下

opencv_aruco450d.lib
opencv_bgsegm450d.lib
opencv_bioinspired450d.lib
opencv_calib3d450d.lib
opencv_ccalib450d.lib
opencv_core450d.lib
opencv_cudaarithm450d.lib
opencv_cudabgsegm450d.lib
opencv_cudacodec450d.lib
opencv_cudafeatures2d450d.lib
opencv_cudafilters450d.lib
opencv_cudaimgproc450d.lib
opencv_cudalegacy450d.lib
opencv_cudaobjdetect450d.lib
opencv_cudaoptflow450d.lib
opencv_cudastereo450d.lib
opencv_cudawarping450d.lib
opencv_cudev450d.lib
opencv_datasets450d.lib
opencv_dnn450d.lib
opencv_dnn_objdetect450d.lib
opencv_dnn_superres450d.lib
opencv_dpm450d.lib
opencv_face450d.lib
opencv_features2d450d.lib
opencv_flann450d.lib
opencv_fuzzy450d.lib
opencv_gapi450d.lib
opencv_hdf450d.lib
opencv_hfs450d.lib
opencv_highgui450d.lib
opencv_imgcodecs450d.lib
opencv_imgproc450d.lib
opencv_img_hash450d.lib
opencv_intensity_transform450d.lib
opencv_line_descriptor450d.lib
opencv_mcc450d.lib
opencv_ml450d.lib
opencv_objdetect450d.lib
opencv_optflow450d.lib
opencv_phase_unwrapping450d.lib
opencv_photo450d.lib
opencv_plot450d.lib
opencv_quality450d.lib
opencv_rapid450d.lib
opencv_reg450d.lib
opencv_rgbd450d.lib
opencv_saliency450d.lib
opencv_shape450d.lib
opencv_stereo450d.lib
opencv_stitching450d.lib
opencv_structured_light450d.lib
opencv_superres450d.lib
opencv_surface_matching450d.lib
opencv_text450d.lib
opencv_tracking450d.lib
opencv_video450d.lib
opencv_videoio450d.lib
opencv_videostab450d.lib
opencv_viz450d.lib
opencv_xfeatures2d450d.lib
opencv_ximgproc450d.lib
opencv_xobjdetect450d.lib
opencv_xphoto450d.lib

release去掉每个文件的最后的d就行

4.测试代码

代码如下（示例）：

#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main() {
    // 打开默认摄像头（编号为0），如果有多个摄像头，可以尝试不同的编号（例如1，2等）
    VideoCapture cap(0, cv::CAP_DSHOW);
    
    // 检查摄像头是否成功打开
    if (!cap.isOpened()) {
        cerr << "Error: Failed to open camera." << endl;
        return -1;
    }
    
    // 创建窗口，窗口名称为 "Camera Preview"
    namedWindow("Camera Preview", WINDOW_NORMAL);
    
    while (true) {
        Mat frame;
        
        // 从摄像头读取每一帧图像
        cap >> frame;
        
        // 检查是否成功读取帧
        if (frame.empty()) {
            cerr << "Error: Blank frame grabbed." << endl;
            break;
        }
        
        // 在窗口中显示当前帧
        imshow("Camera Preview", frame);
        
        // 按下ESC键退出循环
        if (waitKey(1) == 27) {
            break;
        }
    }
    
    // 释放VideoCapture对象和关闭窗口
    cap.release();
    destroyAllWindows();
    return 0;
}

---

总结

完成配置