Opencv-GPU 编译错误 CUDA_nppicom_LIBRARY (ADVANCED) 未定义

问题出现描述

• Opencv : 4.3
• CUDA: 11.1
• Ubuntu 18.04

编译支持CUDA的OpenCV， CMake命令和报错内容如下：

cmake 
-D INCLUDE_DIRS=${OPENCV_INCLUDE_DIR_ANACONDA} $INCLUDE_DIRS 
-D LIBRARY_DIRS=$OPENCV_LIBRARY_ANACONDA $LIBRARY_DIRS 
-D BUILD_PYTHON_SUPPORT=ON 
-D BUILD_DOCS=ON 
-D BUILD_PERF_TESTS=OFF 
-D BUILD_TESTS=OFF 
-D CMAKE_INSTALL_PREFIX=/usr/local/opencv 
-D OPENCV_EXTRA_MODULES_PATH=/home/timber/Library/opencv_contrib/modules 
-D BUILD_opencv_python3=ON 
-D BUILD_opencv_python2=OFF 
-D PYTHON3_EXECUTABLE=${OPENCV_PYTHON_EXECUTABLE_ANACONDA} 
-D PYTHON3_INCLUDE_DIR=${OPENCV_INCLUDE_DIR_ANACONDA} 
-D PYTHON3_PACKAGES_PATH=${OPENCV_PACKAGE_ANACONDA} 
-D BUILD_EXAMPLES=OFF 
-D WITH_GTK=ON 
-D WITH_GTK_2_X=ON 
-D WITH_IPP=ON 
-D BUILD_TIFF=ON 
-D BUILD_opencv_cvv=OFF 
-D INSTALL_CREATE_DISTRIB=ON 
-D WITH_FFMPEG=ON 
-D WITH_GSTREAMER=ON 
-D WITH_V4L=ON 
-D WITH_LIBV4L=ON 
-D WITH_TBB=ON 
-D WITH_QT=ON 
-D WITH_OPENGL=ON 
-D WITH_CUDA=ON 
-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda 
-D CMAKE_LIBRARY_PATH=/usr/local/cuda/lib64/stubs 
-D CUDA_ARCH_BIN="8.6" 
-D CUDA_ARCH_PTX="" 
-D WITH_CUBLAS=ON 
-D WITH_NVCUVID=ON 
-D ENABLE_FAST_MATH=1 
-D CUDA_FAST_MATH=1 
-D ENABLE_PRECOMPILED_HEADERS=OFF 
-D CMAKE_BUILD_TYPE=Release 
..

其中一些变量是python是虚拟环境相关的，在激活虚拟环境后运行如下命令获得，编译时取消激活防止库冲突。

OPENCV_PYTHON_EXECUTABLE_ANACONDA=$(which python${PYTHON_VERSION}) && 
OPENCV_INSTALL_PATH=$(python -c "import sys; print(sys.prefix)") && 
OPENCV_INCLUDE_DIR_ANACONDA=$(python -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") && 
OPENCV_PACKAGE_ANACONDA=$(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") && 
OPENCV_LIBRARY_ANACONDA=$(python -c "import distutils.sysconfig as sysconfig; print(sysconfig.get_config_var('LIBDIR'))")

报错内容如下：

CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_nppicom_LIBRARY (ADVANCED)

解决办法

• 先按照OpenCV安装时CUDA_nppi_LIBRARY (ADVANCED) 报错处理方法的方法更改，但是依旧报错。

• 解决办法来自stackoverflow: Build OpenCV-4.0.0 with cuda 11 on Ubuntu 18.04
  只需要在cmake命令中添加-D CUDA_nppicom_LIBRARY=true这个未定义的变量即可。

更新时间：2021.07.21 20:03
这里-D CUDA_nppicom_LIBRARY=true 不合理， ture不是一个有效的库文件名称，建议随机选一个本机有的库，比如改成-D CUDA_nppicom_LIBRARY=stdc++ 防止链接库时导致找不到libtrue.so报错

完整命令：

cmake 
-D INCLUDE_DIRS=${OPENCV_INCLUDE_DIR_ANACONDA} $INCLUDE_DIRS 
-D LIBRARY_DIRS=$OPENCV_LIBRARY_ANACONDA $LIBRARY_DIRS 
-D BUILD_PYTHON_SUPPORT=ON 
-D BUILD_DOCS=ON 
-D BUILD_PERF_TESTS=OFF 
-D BUILD_TESTS=OFF 
-D CMAKE_INSTALL_PREFIX=/usr/local/opencv 
-D OPENCV_EXTRA_MODULES_PATH=/home/timber/Library/opencv_contrib/modules 
-D BUILD_opencv_python3=ON 
-D BUILD_opencv_python2=OFF 
-D PYTHON3_EXECUTABLE=${OPENCV_PYTHON_EXECUTABLE_ANACONDA} 
-D PYTHON3_INCLUDE_DIR=${OPENCV_INCLUDE_DIR_ANACONDA} 
-D PYTHON3_PACKAGES_PATH=${OPENCV_PACKAGE_ANACONDA} 
-D BUILD_EXAMPLES=OFF 
-D WITH_GTK=ON 
-D WITH_GTK_2_X=ON 
-D WITH_IPP=ON 
-D BUILD_TIFF=ON 
-D BUILD_opencv_cvv=OFF 
-D INSTALL_CREATE_DISTRIB=ON 
-D WITH_FFMPEG=ON 
-D WITH_GSTREAMER=ON 
-D WITH_V4L=ON 
-D WITH_LIBV4L=ON 
-D WITH_TBB=ON 
-D WITH_QT=ON 
-D WITH_OPENGL=ON 
-D WITH_CUDA=ON 
-D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda 
-D CMAKE_LIBRARY_PATH=/usr/local/cuda/lib64/stubs 
-D CUDA_ARCH_BIN="8.6" 
-D CUDA_ARCH_PTX="" 
-D WITH_CUBLAS=ON 
-D WITH_NVCUVID=ON 
-D ENABLE_FAST_MATH=1 
-D CUDA_FAST_MATH=1 
-D ENABLE_PRECOMPILED_HEADERS=OFF 
-D CMAKE_BUILD_TYPE=Release 
-D CUDA_nppicom_LIBRARY=stdc++ 
..

结果：