.net core Docker 容器添加ffmpeg 获取视频信息和截图
最近在处理上传视频,需要获取视频信息和截图,这里就需要用到ffmpeg;
由于我的项目是在docker compose中运行调试,所以ffmpeg也需要在docker中能调用;
网上找到的方法在Dockerfile中安装ffmpeg;
.net core 运行的docker容器可以理解为一个安装了.net core runtime的轻量型linux,所以我们要在docker中调用ffmpeg,就需要在这个linux中安装ffmpeg;
下面是我的Dockerfile 重点是前面的两个RUN 命令,复制这两个RUN 到Dockerfile就可以。(因为我还需要处理Excel所以使用了NPOI,这个linux下也是要安装libgdiplus才能运行;)
FROM mcr.microsoft.com/dotnet/core/aspnet:3.1-buster-slim AS base RUN sed -i 's/deb.debian.org/mirrors.ustc.edu.cn/g' /etc/apt/sources.list \ && apt-get update \ && apt-get install -y ffmpeg \ && apt-get clean && apt-get autoclean && apt-get autoremove \ && rm -rf /var/lib/apt/lists/* RUN apt-get update && apt-get install -y libgdiplus libc6-dev && ln -s /usr/lib/libgdiplus.so /usr/lib/gdiplus.dll WORKDIR /app EXPOSE 80 EXPOSE 443 FROM mcr.microsoft.com/dotnet/core/sdk:3.1-buster AS build WORKDIR /src COPY ["test/test.csproj", "test/"] RUN dotnet restore "test/test.csproj" COPY . . WORKDIR "/src/test" RUN dotnet build "test.csproj" -c Release -o /app/build FROM build AS publish RUN dotnet publish "test.csproj" -c Release -o /app/publish FROM base AS final WORKDIR /app COPY --from=publish /app/publish . VOLUME /app/wwwroot ENTRYPOINT ["dotnet", "test.dll"]
然后就可以使用ffmpeg 命令了,我这里适配和window和linux 程序,---- mac还没有试过,请忽略;
using Newtonsoft.Json; using System; using System.Collections.Generic; using System.Runtime.InteropServices; using System.Text; using System.Threading.Tasks; namespace test.Ffmpeg { public static class FfmpegHelper { private static System.Diagnostics.ProcessStartInfo cmdFfmpeg; private static System.Diagnostics.ProcessStartInfo cmdFfprobe; static FfmpegHelper() { if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) { string ffmpegPath = "/usr/bin/ffmpeg"; string ffprobePath = "/usr/bin/ffprobe"; cmdFfmpeg = new System.Diagnostics.ProcessStartInfo(ffmpegPath); cmdFfprobe = new System.Diagnostics.ProcessStartInfo(ffprobePath); } else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) { string ffmpegPath = AppDomain.CurrentDomain.BaseDirectory+ "Ffmpeg\\ffmpeg.exe"; string ffprobePath = AppDomain.CurrentDomain.BaseDirectory + "Ffmpeg\\ffprobe.exe"; cmdFfmpeg = new System.Diagnostics.ProcessStartInfo(ffmpegPath); cmdFfprobe = new System.Diagnostics.ProcessStartInfo(ffprobePath); } else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) { string ffmpegPath = "/usr/bin/ffmpeg"; string ffprobePath = "/usr/bin/ffprobe"; cmdFfmpeg = new System.Diagnostics.ProcessStartInfo(ffmpegPath); cmdFfprobe = new System.Diagnostics.ProcessStartInfo(ffprobePath); } cmdFfmpeg.RedirectStandardError = false; // 输出错误 cmdFfmpeg.RedirectStandardOutput = true; //输出打印 cmdFfmpeg.UseShellExecute = false; //使用Shell cmdFfmpeg.CreateNoWindow = true; //创建黑窗 cmdFfprobe.RedirectStandardError = false; //set false cmdFfprobe.RedirectStandardOutput = true; cmdFfprobe.UseShellExecute = false; //set true cmdFfprobe.CreateNoWindow = true; //don't need the black window } /// <summary> /// 获取视频信息 /// </summary> /// <param name="path"></param> public static async Task<VideoInfoModel> GetVideoInfo(string path) { try { string command = $"-i {path} -print_format json -show_format -show_streams -show_data"; cmdFfprobe.Arguments = command; System.Diagnostics.Process cmd = new System.Diagnostics.Process(); cmd.StartInfo = cmdFfprobe; cmd.Start(); string InfoStr = await cmd.StandardOutput.ReadToEndAsync(); cmd.WaitForExit(10000); VideoInfoModel resp = JsonConvert.DeserializeObject<VideoInfoModel>(InfoStr); return resp; } catch (Exception) { return null; } } /// <summary> /// 视频截图 /// </summary> /// <param name="path"></param> /// <param name="outPath"></param> public static void VideoScreenshot(string path,string outPath) { string command = $"-i {path} -y -q:v 7 -f image2 -t 0.001 {outPath}"; cmdFfmpeg.Arguments = command; System.Diagnostics.Process cmd = new System.Diagnostics.Process(); cmd.StartInfo = cmdFfmpeg; cmd.Start(); cmd.WaitForExit(10000); } } }