C++包管理工具vcpkg配置国内镜像源的操作流程

# 设置清华镜像源
$env:VCPKG_DOWNLOAD_MIRROR="https://mirrors.tuna.tsinghua.edu.cn/github-release/ninja-build/ninja/"
$env:X_VCPKG_ASSET_SOURCES="x-azurl,https://mirrors.tuna.tsinghua.edu.cn/vcpkg/assets/"

# 或者使用中科大镜像源
$env:VCPKG_DOWNLOAD_MIRROR="https://mirrors.ustc.edu.cn/github-release/ninja-build/ninja/"
$env:X_VCPKG_ASSET_SOURCES="x-azurl,https://mirrors.ustc.edu.cn/vcpkg/assets/"

# 在文件末尾添加以下内容
set(VCPKG_DOWNLOAD_MIRROR "https://mirrors.tuna.tsinghua.edu.cn/github-release/ninja-build/ninja/")
set(X_VCPKG_ASSET_SOURCES "x-azurl,https://mirrors.tuna.tsinghua.edu.cn/vcpkg/assets/")

# 1. 设置镜像源环境变量
$env:VCPKG_DOWNLOAD_MIRROR="https://mirrors.tuna.tsinghua.edu.cn/github-release/ninja-build/ninja/"
$env:X_VCPKG_ASSET_SOURCES="x-azurl,https://mirrors.tuna.tsinghua.edu.cn/vcpkg/assets/"

# 2. 设置代理（如果你有代理的话）
# $env:HTTP_PROXY="http://127.0.0.1:10809"
# $env:HTTPS_PROXY="http://127.0.0.1:10809"

# 3. 先单独安装 ninja（解决你当前的错误）
.\vcpkg.exe install ninja:x64-windows

# 4. 然后再安装 opencv4
.\vcpkg.exe install opencv4:x64-windows

# set-mirror.ps1 - 设置vcpkg镜像源
echo "设置vcpkg国内镜像源..."

# 设置环境变量（当前会话有效）
$env:VCPKG_DOWNLOAD_MIRROR="https://mirrors.tuna.tsinghua.edu.cn/github-release/ninja-build/ninja/"
$env:X_VCPKG_ASSET_SOURCES="x-azurl,https://mirrors.tuna.tsinghua.edu.cn/vcpkg/assets/"

# 设置HTTP代理（如果有的话，取消注释并修改）
# $env:HTTP_PROXY="http://127.0.0.1:10809"
# $env:HTTPS_PROXY="http://127.0.0.1:10809"

echo "镜像源设置完成！"
echo "VCPKG_DOWNLOAD_MIRROR = $env:VCPKG_DOWNLOAD_MIRROR"
echo "X_VCPKG_ASSET_SOURCES = $env:X_VCPKG_ASSET_SOURCES"

# 测试下载
.\vcpkg.exe search opencv4

.\vcpkg.exe install opencv4:x64-windows

# 1. 先安装基础依赖
.\vcpkg.exe install zlib:x64-windows
.\vcpkg.exe install libjpeg-turbo:x64-windows
.\vcpkg.exe install libpng:x64-windows
.\vcpkg.exe install libwebp:x64-windows

# 2. 安装编译工具
.\vcpkg.exe install ninja:x64-windows

# 3. 安装其他依赖
.\vcpkg.exe install protobuf:x64-windows
.\vcpkg.exe install flatbuffers:x64-windows

# 4. 最后安装 opencv
.\vcpkg.exe install opencv4:x64-windows

// 简单的测试程序
#include <opencv2/opencv.hpp>
#include <iostream>

int main() {
    std::cout << "手动配置OpenCV测试" << std::endl;
    
    // 创建一个简单的图像
    cv::Mat image(300, 400, CV_8UC3, cv::Scalar(100, 150, 200));
    cv::circle(image, cv::Point(200, 150), 50, cv::Scalar(0, 0, 255), -1);
    
    cv::imshow("手动配置测试", image);
    cv::waitKey(0);
    
    return 0;
}

// test_opencv.cpp
#include <opencv2/opencv.hpp>
#include <iostream>

int main() {
    std::cout << "OpenCV安装测试" << std::endl;
    std::cout << "OpenCV版本: " << CV_VERSION << std::endl;
    
    // 测试基本功能
    cv::Mat image = cv::imread("test.jpg");
    if(image.empty()) {
        std::cout << "创建测试图像..." << std::endl;
        image = cv::Mat(400, 600, CV_8UC3, cv::Scalar(50, 100, 150));
        cv::circle(image, cv::Point(300, 200), 80, cv::Scalar(0, 255, 0), -1);
        cv::putText(image, "OpenCV Works!", cv::Point(150, 100),
                   cv::FONT_HERSHEY_SIMPLEX, 1.2, cv::Scalar(255, 255, 255), 2);
    }
    
    cv::imshow("OpenCV测试", image);
    cv::waitKey(0);
    
    return 0;
}