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！
2022年8月3更新:
今天编译opencv报错，报错的内容是libopencv_sfm.so 符号未定义等错误，找了很久没找到解决方案，最后我的解决方案是重新装glog --> 重新装gflags --> 重新装ceres-solver，最后重新编译opencv，整套完成解决了问题

2022.12.1更新
验证opencv有没有成功安装, 在opencv的根目录下运行:

./samples/cpp/example_cmake
cmake .
make
./opencv_example

2022.12.1更新
1.由于我电脑里的gcc, g++ 版本较多，所以编译器那边要注意下:

	-D CMAKE_C_COMPILER=/usr/bin/gcc \
    -D CMAKE_CXX_COMPILER=/usr/bin/g++ \

2.我为了方便查看opencv4版本，所以编译选项加上这个

	-D OPENCV_PC_FILE_NAME=opencv4.pc \

但是我今天忘了加！

在/usr/local/lib/pkgconfig 下新建opencv4.pc

prefix=/usr/local
exec_prefix=${prefix}
includedir=/usr/local/include/opencv4
libdir=/usr/local/lib/opencv4

Name: opencv4.pc
Description: Open Source Computer Vision Library
Version: 4.5.3
Libs: -L${exec_prefix}/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dpm -lopencv_face -lopencv_photo -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_dnn -lopencv_plot -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ml -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core
Libs.private: -ldl -lm -lpthread -lrt
Cflags: -I${includedir}

测试编译的对不对:

代码:

#include 
#include

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