手把手带你在Linux上安装带GPU加速的opencv库（C++版本）_opencv linux-CSDN博客

cmake \
    -D CMAKE_BUILD_TYPE=RELEASE \
    -D OPENCV_GENERATE_PKGCONFIG=ON \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D OPENCV_EXTRA_MODULES_PATH=/home/hwj/opencv/opencv_contrib/modules \
    -D CUDA_CUDA_LIBRARY=/usr/local/cuda/lib64/stubs/libcuda.so \
    -D CUDA_ARCH_BIN=8.9 \
    -D CUDA_ARCH_PTX="" \
    -D WITH_CUDA=ON \
    -D WITH_TBB=ON \
    -D BUILD_NEW_PYTHON_SUPPORT=ON \
    -D WITH_V4L=ON \
    -D INSTALL_C_EXAMPLES=ON \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D BUILD_EXAMPLES=ON \
    -D WITH_QT=ON \
    -D WITH_OPENGL=ON \
    -D ENABLE_FAST_MATH=1 \
    -D CUDA_FAST_MATH=1 \
    -D WITH_CUBLAS=1 \
    -D WITH_NVCUVID=ON \
    -D BUILD_opencv_cudacodec=OFF \
    -D WITH_GSTREAMER=ON \
    -D WITH_GSTREAMER_0_10=OFF \
    -DBUILD_OPENJPEG:BOOL=ON  ..

sudo make -j12

sudo make install

安装完成之后查看版本：

python3 -c "import cv2; print(cv2.__version__)"

pkg-config --modversion opencv4

配置用户环境变量

nano ~/.bashrc

# OpenCV Environment Variables
export OPENCV_INCLUDE_DIR=/usr/local/include/opencv4
export OPENCV_LIB_DIR=/usr/local/lib
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib
export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/local/include/opencv4

source ~/.bashrc  # 或者 source ~/.zshrc

 验证

echo $OPENCV_INCLUDE_DIR
echo $OPENCV_LIB_DIR

测试

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

int main() {
    std::cout << "OpenCV version: " << CV_VERSION << std::endl;
    return 0;
}

g++ -o test main.cc $(pkg-config --cflags --libs opencv4)