nginx多次反向代理时需注意端口的变化 $server_port ：nigix监听的端口$proxy_port ： 服务器真正访问的端口设置请求头"Host"值（为入口域名和端口） proxy_set_header Host $http_host;设置为upstream对应服务器（IP和端口） proxy_set_header Host $proxy_host;设置为入口Host和当前nginx监听端口proxy_set_header Host $host:$server_port;官方文档说nginx默认proxy_set_header Host $proxy_host;

$host和$http_host 宝塔面板配置域名访问，前期是用80端口普通反向代理使用没问题后开启ssl后，宝塔新增的反向代理配置使得域名无法访问面板原配置proxy_set_header Host $host;修改后proxy_set_header Host $http_host;

CentOS中离线安装ffmpeg 1.下载安装包 ffmpeg-4.1.tar.xz 2.解压安装包：tar -xvJf ffmpeg-4.1.tar.xz3.编译安装： /programFiles/soft/ffmpeg 为自己指定的安装目录./configure --enable-shared --prefix=/programFiles/soft/ffmpeg提示错误：nasm/yasm not found or too old. Use --disable-x86asm for a crippled build. If you think configure made a mistake, make sure you are using the latest version from Git. If the latest version fails, report the problem to the ffmpeg-user@ffmpeg.org mailing list or IRC #ffmpeg on irc.freenode.net. Include the log file "ffbuild/config.log" produced by configure as this will help solve the problem.安装gcc编译器centos 执行yum install gccubuntu 执行apt install gcc安装yasm编译器：centos 执行yum install -y yasmubuntu 执行apt install -y yasm离线安装yasm：{card-describe title="安装步骤"}离线包： yasm-1.3.0.tar.gzwget http://www.tortall.net/projects/yasm/releases/yasm-1.3.0.tar.gztar zxvf yasm-1.3.0.tar.gzcd yasm-1.3.0./configuremake && make install{/card-describe}4.编译（编译时间比较长）和安装：make && make install5.遇到问题 -bash: make: command not found 的解决办法 一般出现这个提示，是因为安装系统的时候使用的是最小化mini安装，系统没有安装make、vim等常用命令，直接yum安装下即可。yum -y install gcc automake autoconf libtool make安装g++:yum install gcc gcc-c++6.修改文件/etc/ld.so.confvim /etc/ld.so.confinclude ld.so.conf.d/*.conf将安装目录的lib包路径 /{make install的目录}/ffmpeg/lib 加入最后/programFiles/soft/ffmpeg/lib/使修改生效：ldconfig7.查看版本/programFiles/soft/ffmpeg/bin/ffmpeg -version8.配置环境变量vim /etc/profile在最后PATH添加环境变量（ /programFiles/soft/ffmpeg/bin 为安装目录）：#set ffmpeg environment PATH=$PATH:/programFiles/soft/ffmpeg/bin export PATH或者这么写：#set ffmpeg env export FFMPEG_HOME=/usr/bin/ffmpeg export PATH=$PATH:${FFMPEG_HOME}/bin使配置生效：source /etc/profile 9.查看环境变量是否配置成功ffmpeg -version参考资料：https://www.cnblogs.com/wpjamer/p/ffmpeg.htmlhttps://www.cnblogs.com/wintercloud/p/11162962.html转码时候遇到问题 Unknown encoder 'libx264'即，缺少libx264解码库，需要安装该库：git clone http://git.videolan.org/git/x264.git && cd x264./configure --enable-static --enable-sharedmake && make installFFMPEG使用NVIDIA的GPU硬件转码（使用N卡加速解码）下载ffmpeg源码sudo apt-get install build-essential yasm cmake libtool libc6 libc6-dev unzip wget libnuma1 libnuma-dev正常编译配置（防止报错，根据提示加上--disable-x86asm）./configure --prefix=/usr/local/ffmpeg --enable-shared --enable-yasm --enable-libx264 --enable-gpl --enable-pthreads --extra-cflags=-I/usr/local/x264/include --extra-ldflags=-L/usr/local/x264/lib --disable-x86asmN卡加速编译配置./configure --enable-nonfree -–enable-cuda-sdk –enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64编译和安装make && make install同分辨率转码, gpu加速转码，ddr在线模式ffmpeg -y -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input.mp4 -c:a copy -c:v h264_nvenc -b:v 5M output.mp4变分辨率转码：ffmpeg -y -vsync 0 -hwaccel cuvid –resize 1280x720 -c:v h264_cuvid -i input.mp4 -c:a copy -c:v h264_nvenc -b:v 5M output.mp4corp转码 (-crop (top)x(bottom)x(left)x(right))ffmpeg -y -vsync 0 -hwaccel cuvid –crop 16x16x32x32 -c:v h264_cuvid -i input.mp4 -c:a copy -c:v h264_nvenc -b:v 5M output.mp4scale_cuda filter 转码ffmpeg -y -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input.mp4 -vf scale_cuda=1280:720 -c:a copy -c:v h264_nvenc -b:v 5M output.mp4scale_npp filter 转码ffmpeg -y -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input.mp4 -vf scale_npp=1280:720 -c:a copy -c:v h264_nvenc -b:v 5M output.mp41:N 转码ffmpeg -y -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input.mp4 -vf scale_npp=1920:1080 -c:a copy -c:v h264_nvenc -b:v 5M output1.mp4 -vf scale_npp=1280:720 -c:a copy -c:v h264_nvenc -b:v 8M output2.mp4yuv编码, 1:N 编码ffmpeg -y -vsync 0 -pix_fmt yuv420p -s 1920x1080 -i input.yuv -filter_complex "[0:v]hwupload_cuda,split=4[o1][o2][o3][o4]" -map "[o1]" -c:v h264_nvenc -b:v 8M output1.mp4 -map "[o2]" -c:v h264_nvenc -b:v 10M output2.mp4 -map "[o3]" -c:v h264_nvenc -b:v 12M output3.mp4 -map "[o4]" -c:v h264_nvenc -b:v 14M output4.mp4转码, 1:N 编码ffmpeg -y -hwaccel cuvid –c:v h264_cuvid -i input1.mp4 -hwaccel cuvid –c:v h264_cuvid -i input2.mp4 -map 0:0 -vf scale_npp=640:480 –c:v h264_nvenc -b:v 1M output11.mp4 -map 0:0 -vf scale_npp=320:240 –c:v h264_nvenc -b:v 500k output12.mp4 -map 1:0 -vf scale_npp=1280:720 –c:v h264_nvenc -b:v 3M output21.mp4 -map 1:0 -vf scale_npp=640:480 –c:v h264_nvenc -b:v 2M output22.mp4软解码，gpu resize，gpu编码ffmpeg -y -init_hw_device cuda=foo:bar -filter_hw_device foo -i input1.mp4 -i input2.mp4 -map 0:0 -vf hwupload,scale_npp=640:480 –c:v h264_nvenc -b:v 1M output11.mp4 -map 0:0 -vf hwupload,scale_npp=320:240 –c:v h264_nvenc -b:v 500k output12.mp4 -map 1:0 -vf hwupload,scale_npp=1280:720 –c:v h264_nvenc -b:v 2M output21.mp4 -map 1:0 -vf hwupload,scale_npp=640:480 –c:v h264_nvenc -b:v 1M output22.mp4更多配置通过ffmpeg查看NVIDIA编码器和解码器属性配置更多参考：https://developer.nvidia.com/ffmpegh264_nvenc 编码器配置参考Using_FFmpeg_with_NVIDIA_GPU_Hardware_Acceleration_v01.4.pdf

宝塔一键部署springboot项目时总是无法正常启动的问题 问题：如下图，启动之后，“状态”栏总是呈现红色字体“已关闭”字样（图中为已解决后的状态）。解决：设置文件的用户为www宝塔网站用户和755权限

宝塔面板取消强制登录验证7.6.0版本后 宝塔面板7.6.0版本后增强了强制用户绑定账号只需要在SSH中输入：1.方法一：sed -i "s|if (bind_user == 'True') {|if (bind_user == 'REMOVED') {|g" /www/server/panel/BTPanel/static/js/index.js恢复登录：sed -i "s|if (bind_user == 'REMOVED') {|if (bind_user == 'True') {|g" /www/server/panel/BTPanel/static/js/index.js2.方法二：适用7.6.0版本rm -f /www/server/panel/data/bind.pl3.合并命令：sed -i "s|if (bind_user == 'True') {|if (bind_user == 'REMOVED') {|g" /www/server/panel/BTPanel/static/js/index.js && rm -f /www/server/panel/data/bind.pl2021-12-29发现验证又改了修改198行，去掉notvi /www/server/panel/BTPanel/__init__.py