ncnn编译

一、Vulkan

下载地址

https://sdk.lunarg.com/sdk/download/1.4.350.0/windows/vulkansdk-windows-X64-1.4.350.0.exe

二、 OpenCV

下载地址

https://github.com/opencv/opencv/releases/download/4.13.0/opencv-4.13.0-windows.exe

三、protobuf 源码

下载版本 protobuf-29.6.zip

https://github.com/protocolbuffers/protobuf/tree/v29.6

第三方代码下载

protobuf/third_party/

https://github.com/abseil/abseil-cpp/tree/4a2c63365eff8823a5221db86ef490e828306f9d

https://github.com/google/googletest/tree/4c9a3bb62bf3ba1f1010bf96f9c8ed767b363774

https://github.com/open-source-parsers/jsoncpp/tree/9059f5cad030ba11d37818847443a53918c327b1

编译

        mkdir build-vs2022

        cd build-vs2022

        cmake -G"NMake Makefiles" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=%cd%/install -Dprotobuf_BUILD_TESTS=OFF -Dprotobuf_MSVC_STATIC_RUNTIME=OFF ..

        nmake

        nmake install

四、ncnn

        下载

        https://github.com/Tencent/ncnn/tree/20260526

        第三方下载

        https://github.com/nihui/glslang/tree/fe88f421038e1bb0a25cd5c1b2dfe505db82d08f

        编译

        mkdir build-vs2022

        cd build-vs2022

        cmake -G"NMake Makefiles" \

        -DCMAKE_BUILD_TYPE=Release \

        -DCMAKE_INSTALL_PREFIX=%cd%/install \

        -DNCNN_VULKAN=ON \

        -DNCNN_BUILD_EXAMPLES=OFF \

        -DNCNN_SIMPLEOCV=OFF \

        -DOpenCV_DIR=E:/ncnn/opencv/build/x64/vc16 \

        -Dprotobuf_DIR="E:/ncnn/protobuf-29.6/protobuf/build-vs2022/install/lib/cmake/protobuf" \

        -Dabsl_DIR="E:/ncnn/protobuf-29.6/protobuf/build-vs2022/install/lib/cmake/absl" \

        -Dutf8_range_DIR="E:/ncnn/protobuf-29.6/protobuf/build-vs2022/install/lib/cmake/utf8_range" \

        -DOpenCV_DIR="E:/ncnn/opencv/build" \

        -DCMAKE_CXX_FLAGS="/utf-8" ..

        nmake

        nmake install

五、测试示例

#include <iostream>

#include <ncnn/net.h>

#include <ncnn/gpu.h>

int main()

{

    ncnn::create_gpu_instance();

    // 查看可用 GPU

    int gpu_count = ncnn::get_gpu_count();

    std::cout << "Found " << gpu_count << " Vulkan device(s)." << std::endl;

    if (gpu_count > 0)

    {

        int default_gpu = ncnn::get_default_gpu_index();

        const ncnn::GpuInfo& info = ncnn::get_gpu_info(default_gpu);

        printf("  默认 GPU: %s\n", info.device_name());

    }

    return 0;

}