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解决以下安装问题#xff1a;
-- Could NOT find CUDNN: Found unsuitable versi… 文章目录 概要下载cuda的runfile版本配置环境变量官网下载cudann安装Opencv依赖包下载opencv和opencv_contrib并解压准备编译安装anaconda环境执行编译命令安装OpenCV并检查是否安装成功 概要
解决以下安装问题
-- Could NOT find CUDNN: Found unsuitable version .., but required is at least 7.5 (found CUDA_cudnn_LIBRARY-NOTFOUND)下载cuda的runfile版本
连接地址 https://developer.nvidia.com/cuda-downloads?target_osLinuxtarget_archx86_64DistributionUbuntutarget_version22.04target_typerunfile_local 注意请下载对应驱动的版本。 默认驱动和 cuda toolkit都会安装成功!
配置环境变量 官网下载cudann
官网下载cuda对应版本的cudnn https://developer.nvidia.com/rdp/cudnn-archive#a-collapse805-111 这里我们选择的是最新的cudnn版本v8.6.0。 cudnn 8的版本将有版本号的头文件单独写了一个文件cudnn_version.h而不再是之前的cudnn.h所以需要执行的是以下语句(这里容易出错。8.x以后的cudnn需要执行此语句.)
sudo cp /usr/include/cudnn*.h /usr/local/cuda/include/
sudo cp /usr/lib/libcudnn* /usr/local/cuda/lib64/安装Opencv依赖包
sudo apt-get update
sudo apt-get upgrade
sudo apt install cmake pkg-config unzip yasm git checkinstall libjpeg-dev libpng-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libavresample-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libxvidcore-dev x264 libx264-dev libfaac-dev libmp3lame-dev libtheora-dev libfaac-dev libmp3lame-dev libvorbis-dev libopencore-amrnb-dev libopencore-amrwb-dev
sudo apt-get install libdc1394-22 libdc1394-22-dev libxine2-dev libv4l-dev v4l-utils
cd /usr/include/linux
sudo ln -s -f ../libv4l1-videodev.h videodev.h
cd ~
sudo apt-get install libgtk-3-dev libtbb-dev libatlas-base-dev gfortran
下载opencv和opencv_contrib并解压 git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
准备编译
cd opencv-4.5.5 mkdir build cd build
安装anaconda环境
到以下环境安装anaconda https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
执行编译命令
cmake -D CMAKE_BUILD_TYPERELEASE \
-D CMAKE_INSTALL_PREFIX/usr/local \
-D CMAKE_C_COMPILER/usr/bin/gcc-9 \
-D INSTALL_PYTHON_EXAMPLESON \
-D INSTALL_C_EXAMPLESON \
-D OPENCV_ENABLE_NONFREEON \
-D BUILD_opencv_python3ON \
-D WITH_CUDAON \
-D WITH_CUDNNON \
-D WITH_TBBON \
-D OPENCV_DNN_CUDAON \
-D ENABLE_FAST_MATH1 \
-D CUDA_FAST_MATH1 \
-D CUDA_ARCH_BIN8.0 \
-D WITH_CUBLAS1 \
-D OPENCV_GENERATE_PKGCONFIGON \
-D OPENCV_EXTRA_MODULES_PATH/home/qwen/opencv_contrib/modules \
-D PYTHON3_EXECUTABLE/home/qwen/anaconda3/bin/python3.7m \
-D PYTHON3_INCLUDE_DIR/home/qwen/anaconda3/include/python3.7m \
-D PYTHON3_LIBRARY/home/qwen/anaconda3/lib/libpython3.7m.so \
-D PYTHON3_NUMPY_INCLUDE_DIRS/home/qwen/anaconda3/lib/python3.7/site-packages/numpy/core/include \
-D PYTHON3_PACKAGES_PATH/home/qwen/anaconda3/lib/python3.7/site-packages \
-D PYTHON_DEFAULT_EXECUTABLE/home/qwen/anaconda3/bin/python3.7m \
-D CUDNN_LIBRARY/usr/local/cuda/lib64/libcudnn.so.8.9.4 \
-D CUDNN_INCLUDE_DIR/usr/local/cuda/include \
-D CUDA_CUDA_LIBRARY/usr/local/cuda/lib64/stubs/libcuda.so \
-D OPENCV_PYTHON3_INSTALL_PATH/home/qwen/anaconda3/lib/python3.7/site-packages \
-D OpenCV_INCLUDE_DIRS/usr/include/openjpeg-2.3 \
-D WITH_WEBPOFF \
-D WITH_OPENCLOFF \
-D ETHASHLCLOFF \
-D ENABLE_CXX11ON \
-D BUILD_EXAMPLESOFF \
-D OPENCV_ENABLE_NONFREEON \
-D WITH_OPENGLON \
-D WITH_GSTREAMERON \
-D BUILD_OPENJPEGON \
-D WITH_V4LON \
-D WITH_QTOFF \
-D BUILD_opencv_python3ON \
-D BUILD_opencv_python2OFF \
-D HAVE_opencv_python3ON ..
以下编译命令需要更换为自己的地址
-D CUDA_ARCH_BIN8.9.4 \
-D OPENCV_GENERATE_PKGCONFIGON \
-D OPENCV_EXTRA_MODULES_PATH/home/qwen/opencv_contrib-4.5.2/modules \
-D PYTHON3_EXECUTABLE/home/qwen/anaconda3/bin/python3.7m \
-D PYTHON3_INCLUDE_DIR/home/qwen/anaconda3/include/python3.7m \
-D PYTHON3_LIBRARY/home/qwen/anaconda3/lib/libpython3.7m.so \
-D PYTHON3_NUMPY_INCLUDE_DIRS/home/qwen/anaconda3/lib/python3.7/site-packages/numpy/core/include \
-D PYTHON3_PACKAGES_PATH/home/qwen/anaconda3/lib/python3.7/site-packages \
-D PYTHON_DEFAULT_EXECUTABLE/home/qwen/anaconda3/bin/python3.7m \
-D CUDNN_LIBRARY/usr/local/cuda/lib64/libcudnn.so.8.9.4 \
-D CUDNN_INCLUDE_DIR/usr/local/cuda/include \
-D CUDA_CUDA_LIBRARY/usr/local/cuda/lib64/stubs/libcuda.so \
-D OPENCV_PYTHON3_INSTALL_PATH/home/qwen/anaconda3/lib/python3.7/site-packages \
编译成功标识
安装OpenCV并检查是否安装成功 执行make后日志信息如下
