.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；

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();

                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();

        }

    }

}

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.net core Docker 容器添加ffmpeg 获取视频信息和截图

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