[人工智能]编译带cuda的opencv4.5.5(4.2.0+cuda11.1+cudnn8.0.5未成功)

活了这么大也没中过奖，也没中过超过20块钱的彩票，居然在这个地方中奖了，很犀利！！
最终换成4.5.5版本的成功了:

cmake的内容:

cmake \
    -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_C_COMPILER=/usr/bin/gcc \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules/ \
    -D CUDA_CUDA_LIBRARY=/usr/lib/x86_64-linux-gnu/libcuda.so \
    -D CUDA_ARCH_BIN=7.5 \
    -D CUDA_ARCH_PTX="" \
    -D WITH_CUDA=ON \
    -D WITH_TBB=ON \
    -D WITH_FFMPEG=ON \
    -D BUILD_PYTHON_SUPPORT=ON \
    -D BUILD_NEW_PYTHON_SUPPORT=ON \
    -D BUILD_OPENCV_PYTHON3=ON \
    -D PYTHON_INCLUDE_DIR=(python3 -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") \
    -D PYTHON_PACKAGES_PATH=(python3 -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") \
    -D WITH_V4L=ON \
    -D INSTALL_C_EXAMPLES=ON \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D BUILD_EXAMPLES=ON \
    -D WITH_QT=ON \
    -D WITH_GSTREAMER=ON \
    -D WITH_OPENGL=ON \
    -D ENABLE_FAST_MATH=1 \
    -D CUDA_FAST_MATH=1 \
    -D OPENCV_GENERATE_PKGCONFIG=ON \
    -D OPENCV_PC_FILE_NAME=opencv.pc \
    -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
    -D CMAKE_LIBRARY_PATH=/usr/local/cuda/lib64/stubs \
    -D WITH_CUBLAS=ON \
    -D WITH_NVCUVID=ON \
    -D BUILD_opencv_cudacodec=ON \
    -D OPENCV_DNN_CUDA=ON \
    -D WITH_CUDNN=ON \
    -D OPENCV_ENABLE_NONFREE=ON\
    -D WITH_GSTREAMER=ON \
    -D BUILD_EXAMPLES=ON ..

兄弟们，发福利了啊，踩坑无数总结的.cache文件:
链接: https://pan.baidu.com/s/1Eq2U6WD3AL6lAaHLMqed9w 提取码: 6avj
–来自百度网盘超级会员v5的分享
永久有效！
哭泣，纪念我逝去的脑细胞！

测试编译的对不对:

代码:

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

int main(int argc, char* argv[])
{
    cv::cuda::GpuMat img(400, 600, CV_8UC3, cv::Scalar(255, 0, 0));
    cv::Mat cpuImg;
    img.download(cpuImg);
    cv::imshow("test", cpuImg);
    cv::waitKey(0);
    return 0;
}

不放心又搞了个匹配的试试

下班，下班！！

昨天临走的时候g++编译成功，但是vscode调用不成功，主要是cv::cuda:cvtColor函数，今天可以了

在task.json中加上lib库，现在的task.json长这样

{
    "tasks": [

        {
            "type": "shell",
            "label": "g++ build active file",
            "command": "g++",
            "args": [
                "-g",
                "-std=c++11",
                "${file}",
                "-o",
                "${fileDirname}/${fileBasenameNoExtension}.out",
                "`pkg-config", "--cflags", "--libs", "opencv`",
                "-I", "/usr/local/include/opencv4",
                "-I", "/usr/local/include/opencv4/opencv2",
                "-I", "/usr/local/include",
                "-L", "/usr/local/lib",
                "-l", "opencv_core",
                "-l", "opencv_imgproc",
                "-l", "opencv_imgcodecs",
                "-l", "opencv_video",
                "-l", "opencv_ml",
                "-l", "opencv_highgui",
                "-l", "opencv_objdetect",
                "-l", "opencv_flann",
                "-l", "opencv_imgcodecs",
                "-l", "opencv_photo",
                "-l", "opencv_videoio"
                ],
            "options": {
                "cwd": "/usr/bin"
            },
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ],
    "version": "2.0.0"
}

参考链接:
实践出真知——Ubuntu 18.04 VSCODE配置OpenCV4.5运行YOLO4模型