网站黄金比例,android开发框架,网页设计与制作实训心得体会,宿州房产网下载opencv和opencv_contrib#xff0c;cmake过程中要下载的一些包可以手动下载配置#xff0c;如果网络较好#xff0c;也可以等待自动下载。主要记录的是cmake命令#xff1a;
cmake -D CMAKE_BUILD_TYPERELEASE \-D BUILD_opencv_python3YES \-D CMAKE_INSTALL_PREFIX/…下载opencv和opencv_contribcmake过程中要下载的一些包可以手动下载配置如果网络较好也可以等待自动下载。主要记录的是cmake命令
cmake -D CMAKE_BUILD_TYPERELEASE \-D BUILD_opencv_python3YES \-D CMAKE_INSTALL_PREFIX/usr/local/opencv4_5_0 \-D WITH_TBBON \-D ENABLE_FAST_MATH1 \-D CUDA_FAST_MATH1 \-D WITH_CUBLAS1 \-D WITH_CUDAON \-D BUILD_opencv_cudacodecOn \-D WITH_CUDNNON \-D CUDA_ARCH_BIN8.6 \-D WITH_OPENGLON \-D WITH_OPENCLON \-D WITH_GSTREAMERON \-D OPENCV_GENERATE_PKGCONFIGON \-D OPENCV_PC_FILE_NAMEopencv4.pc \-D OPENCV_PYTHON3_INSTALL_PATH/home/user/data2t/software/anaconda3/envs/py38/lib/python3.8/site-packages \-D OPENCV_ENABLE_NONFREEON \-D CUDA_CUDA_LIBRARY/usr/local/cuda/lib64/stubs/libcuda.so \-D CUDA_TOOLKIT_ROOT_DIR/usr/local/cuda \-D OpenCL_LIBRARY/usr/local/cuda/lib64/libOpenCL.so \-D CUDNN_LIBRARY/usr/local/cuda/lib64/libcudnn.so \-D OpenCL_INCLUDE_DIR/usr/local/cuda/include \-D OPENCV_EXTRA_MODULES_PATH/home/user/data1t/3rdparty/opencv-4.5.0/opencv_contrib/modules \-D PYTHON3_LIBRARIES/home/user/data2t/software/anaconda3/envs/py38/lib/libpython3.8.so \-D PYTHON3_PACKAGES_PATH/home/user/data2t/software/anaconda3/envs/py38/lib/python3.8/site-packages \-D PYTHON3_INCLUDE_PATH/home/user/data2t/software/anaconda3/envs/py38/include/python3.8 \-D INSTALL_PYTHON_EXAMPLESON \-D INSTALL_C_EXAMPLESON \-D BUILD_SHARED_LIBSON \-D BUILD_EXAMPLESON .. \-D BUILD_opencv_python2OFF \-D BUILD_opencv_python3ON \-D HAVE_opencv_cudaarithmON \-D HAVE_opencv_cudawarpingON \-D PYTHON3_EXECUTABLE/home/user/data2t/software/anaconda3/envs/py38/bin/pythonmake -j 12
sudo make install
查看编译后的opencv用cv2调用是否支持GPU的方法
cv2.cuda.getCudaEnabledDeviceCount()这里有个opencv编译参数一览表https://blog.csdn.net/qq_31112205/article/details/107039695
