首先要安装各种解码器 1.lame tar -zxvf lame- cd lame- ./configure --enable-shared make make install 2.libogg ./configure make make install 4.xvid ./configure make make install 12.最关键的一步, 安装ffmpeg 1 2 3 1 ./configure --prefix=/usr/local/ffmpeg2 --enable-lib
Centos下安装MXNET,参考官方文档http://mxnet.io/get_started/setup.html#prerequisites, 一.安装python的mxnet步骤如下: #!/usr/bin/env bash ###################################################################### # This script installs MXNet for Python along with all require
1. 首先安装系统编译环境 yum install -y automake autoconf libtool gcc gcc-c++ #CentOS 2. 编译所需源码包 #yasm:汇编器,新版本的ffmpeg增加了汇编代码 wget http://www.tortall.net/projects/yasm/releases/yasm-1.3.0.tar.gz tar -xzvf yasm-1.3.0.tar.gz cd yasm-1.3.0 ./configure make make i
下载源码: 我们选择去官网http://ffmpeg.org下载.版本和打包方式譬如:ffmpeg-3.1.11.tar.bz2 安装过程: tar -jxvf ./ffmpeg-3.1.11.tar.bz2 cd ./ffmpeg-3.1.11 ./configure --enable-static --disable-shared --disable-yasm --enable-memalign-hack make make install 修改/etc/ld.so.conf,增加以下内
详细Ubuntu18.04,CUDA9.0,OpenCV3.1,Tensorflow完全配置指南 问题1:使用Cmake编译opencv源码 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: CUD