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六安市网站建设,wordpress分类目录seo,那种漂亮的网站怎么做的,企业线上培训平台有哪些目录 opencv gpu版本编译#xff0c;实现硬解码#xff0c;加速rtsp视频流读取1、准备文件2、复制 NVCUVID 头文件到 cuda 安装目录 include3、安装相关依赖4、 执行cmake5、编译安装6、测试 opencv gpu版本编译#xff0c;实现硬解码#xff0c;加速rtsp视频流读取 前置条… 目录 opencv gpu版本编译实现硬解码加速rtsp视频流读取1、准备文件2、复制 NVCUVID 头文件到 cuda 安装目录 include3、安装相关依赖4、 执行cmake5、编译安装6、测试 opencv gpu版本编译实现硬解码加速rtsp视频流读取 前置条件显卡驱动cuda 已安装 这里cuda安装路径为 /usr/local/cuda-11.2 1、准备文件 opencv-4.5.5 opencv_contrib-4.5.5 nucuvid官网下载 2、复制 NVCUVID 头文件到 cuda 安装目录 include sudo cp cuviddec.h nvcuid.h nvEncodeAPI. /usr/local/cuda-11.2/include3、安装相关依赖 执行01_install_dependence.sh #!/bin/bashsudo apt update sudo apt upgrade#sudo apt install -y gcc-10 g-10 sudo apt install -y build-essential cmake pkg-config yasm git checkinstall sudo apt install -y pkg-config yasm checkinstall sudo apt install -y libjpeg-dev libpng-dev libtiff-dev sudo apt install -y libavcodec-dev libavformat-dev libswscale-dev sudo apt install -y libxvidcore-dev x264 libx264-dev libfaac-dev libmp3lame-dev libtheora-dev sudo apt install -y libfaac-dev libmp3lame-dev libvorbis-dev sudo apt install -y libgtkglext1 libgtkglext1-dev sudo apt-get install -y libavresample-dev libdc1394-22 libdc1394-22-dev libxine2-dev libv4l-dev v4l-utils4、 执行cmake 执行02_install_opencv.sh cd opencv_build #unzip opencv.zip #unzip opencv_contrib.zipecho Moving onto the build portion of things cd opencv-4.5.5 mkdir build cd build cmake -D CMAKE_BUILD_TYPERELEASE \-D CMAKE_C_COMPILER/usr/bin/gcc-9 \-D CMAKE_INSTALL_PREFIX../install_dir \-D OPENCV_GENERATE_PKGCONFIGON \-D BUILD_opencv_python3ON \-D CUDA_ARCH_BIN8.6\-D WITH_CUDAON \-D WITH_CUDNNON \-D OPENCV_DNN_CUDAON \-D ENABLE_FAST_MATH1 \-D CUDA_FAST_MATH1 \-D OPENCV_ENABLE_NONFREEON \-D WTIH_CUBLAS1 \-D WITH_V4LON \-D WITH_NVCUVIDON \-D WITH_OPENGLON \-D WITH_FFMPEGON \-D BUILD_opencv_javaON \-D OPENCV_EXTRA_MODULES_PATH~/opencv_project/opencv_build/opencv_contrib-4.5.5/modules ..echo Configuring build making OpenCV echo finished all the shit 需要注意的地方