Giter VIP home page Giter VIP logo

ffmpegcore's Introduction

NuGet Badge GitHub issues GitHub stars GitHub CI GitHub code contributors

A .NET Standard FFMpeg/FFProbe wrapper for easily integrating media analysis and conversion into your .NET applications. Supports both synchronous and asynchronous calls

API

FFProbe

Use FFProbe to analyze media files:

var mediaInfo = await FFProbe.AnalyseAsync(inputPath);

or

var mediaInfo = FFProbe.Analyse(inputPath);

FFMpeg

Use FFMpeg to convert your media files. Easily build your FFMpeg arguments using the fluent argument builder:

Convert input file to h264/aac scaled to 720p w/ faststart, for web playback

FFMpegArguments
    .FromFileInput(inputPath)
    .OutputToFile(outputPath, false, options => options
        .WithVideoCodec(VideoCodec.LibX264)
        .WithConstantRateFactor(21)
        .WithAudioCodec(AudioCodec.Aac)
        .WithVariableBitrate(4)
        .WithVideoFilters(filterOptions => filterOptions
            .Scale(VideoSize.Hd))
        .WithFastStart())
    .ProcessSynchronously();

Convert to and/or from streams

await FFMpegArguments
    .FromPipeInput(new StreamPipeSource(inputStream))
    .OutputToPipe(new StreamPipeSink(outputStream), options => options
        .WithVideoCodec("vp9")
        .ForceFormat("webm"))
    .ProcessAsynchronously();

Helper methods

The provided helper methods makes it simple to perform common operations.

Easily capture snapshots from a video file:

// process the snapshot in-memory and use the Bitmap directly
var bitmap = FFMpeg.Snapshot(inputPath, new Size(200, 400), TimeSpan.FromMinutes(1));

// or persists the image on the drive
FFMpeg.Snapshot(inputPath, outputPath, new Size(200, 400), TimeSpan.FromMinutes(1));

You can also capture GIF snapshots from a video file:

FFMpeg.GifSnapshot(inputPath, outputPath, new Size(200, 400), TimeSpan.FromSeconds(10));

// or async
await FFMpeg.GifSnapshotAsync(inputPath, outputPath, new Size(200, 400), TimeSpan.FromSeconds(10));

// you can also supply -1 to either one of Width/Height Size properties if you'd like FFMPEG to resize while maintaining the aspect ratio
await FFMpeg.GifSnapshotAsync(inputPath, outputPath, new Size(480, -1), TimeSpan.FromSeconds(10));

Join video parts into one single file:

FFMpeg.Join(@"..\joined_video.mp4",
    @"..\part1.mp4",
    @"..\part2.mp4",
    @"..\part3.mp4"
);

Create a sub video

FFMpeg.SubVideo(inputPath, 
    outputPath,
    TimeSpan.FromSeconds(0),
    TimeSpan.FromSeconds(30)
);

Join images into a video:

FFMpeg.JoinImageSequence(@"..\joined_video.mp4", frameRate: 1,
    ImageInfo.FromPath(@"..\1.png"),
    ImageInfo.FromPath(@"..\2.png"),
    ImageInfo.FromPath(@"..\3.png")
);

Mute the audio of a video file:

FFMpeg.Mute(inputPath, outputPath);

Extract the audio track from a video file:

FFMpeg.ExtractAudio(inputPath, outputPath);

Add or replace the audio track of a video file:

FFMpeg.ReplaceAudio(inputPath, inputAudioPath, outputPath);

Combine an image with audio file, for youtube or similar platforms

FFMpeg.PosterWithAudio(inputPath, inputAudioPath, outputPath);
// or
var image = Image.FromFile(inputImagePath);
image.AddAudio(inputAudioPath, outputPath);

Other available arguments could be found in FFMpegCore.Arguments namespace.

Input piping

With input piping it is possible to write video frames directly from program memory without saving them to jpeg or png and then passing path to input of ffmpeg. This feature also allows for converting video on-the-fly while frames are being generated or received.

An object implementing the IPipeSource interface is used as the source of data. Currently, the IPipeSource interface has two implementations; StreamPipeSource for streams, and RawVideoPipeSource for raw video frames.

Working with raw video frames

Method for generating bitmap frames:

IEnumerable<IVideoFrame> CreateFrames(int count)
{
    for(int i = 0; i < count; i++)
    {
        yield return GetNextFrame(); //method that generates of receives the next frame
    }
}

Then create a RawVideoPipeSource that utilises your video frame source

var videoFramesSource = new RawVideoPipeSource(CreateFrames(64))
{
    FrameRate = 30 //set source frame rate
};
await FFMpegArguments
    .FromPipeInput(videoFramesSource)
    .OutputToFile(outputPath, false, options => options
        .WithVideoCodec(VideoCodec.LibVpx))
    .ProcessAsynchronously();

If you want to use System.Drawing.Bitmaps as IVideoFrames, a BitmapVideoFrameWrapper wrapper class is provided.

Binaries

Installation

If you prefer to manually download them, visit ffbinaries or zeranoe Windows builds.

Windows (using choco)

command: choco install ffmpeg -y

location: C:\ProgramData\chocolatey\lib\ffmpeg\tools\ffmpeg\bin

Mac OSX

command: brew install ffmpeg mono-libgdiplus

location: /usr/local/bin

Ubuntu

command: sudo apt-get install -y ffmpeg libgdiplus

location: /usr/bin

Path Configuration

Option 1

The default value of an empty string (expecting ffmpeg to be found through PATH) can be overwritten via the FFOptions class:

// setting global options
GlobalFFOptions.Configure(new FFOptions { BinaryFolder = "./bin", TemporaryFilesFolder = "/tmp" });

// or
GlobalFFOptions.Configure(options => options.BinaryFolder = "./bin");

// on some systems the absolute path may be required, in which case 
GlobalFFOptions.Configure(new FFOptions { BinaryFolder = Server.MapPath("./bin"), TemporaryFilesFolder = Server.MapPath("/tmp") });

// or individual, per-run options
await FFMpegArguments
    .FromFileInput(inputPath)
    .OutputToFile(outputPath)
    .ProcessAsynchronously(true, new FFOptions { BinaryFolder = "./bin", TemporaryFilesFolder = "/tmp" });

// or combined, setting global defaults and adapting per-run options
GlobalFFOptions.Configure(new FFOptions { BinaryFolder = "./bin", TemporaryFilesFolder = "./globalTmp", WorkingDirectory = "./" });

await FFMpegArguments
    .FromFileInput(inputPath)
    .OutputToFile(outputPath)
    .Configure(options => options.WorkingDirectory = "./CurrentRunWorkingDir")
    .Configure(options => options.TemporaryFilesFolder = "./CurrentRunTmpFolder")
    .ProcessAsynchronously();

Option 2

The root and temp directory for the ffmpeg binaries can be configured via the ffmpeg.config.json file, which will be read on first use only.

{
  "BinaryFolder": "./bin",
  "TemporaryFilesFolder": "/tmp"
}

Supporting both 32 and 64 bit processes

If you wish to support multiple client processor architectures, you can do so by creating two folders, x64 and x86, in the BinaryFolder directory. Both folders should contain the binaries (ffmpeg.exe and ffprobe.exe) built for the respective architectures.

By doing so, the library will attempt to use either /{BinaryFolder}/{ARCH}/(ffmpeg|ffprobe).exe.

If these folders are not defined, it will try to find the binaries in /{BinaryFolder}/(ffmpeg|ffprobe.exe).

(.exe is only appended on Windows)

Compatibility

Older versions of ffmpeg might not support all ffmpeg arguments available through this library. The library has been tested with version 3.3 to 4.2

Code contributors

Other contributors

License

Copyright © 2023

Released under MIT license

ffmpegcore's People

Contributors

rosenbjerg avatar max619 avatar vladjerca avatar rpaschoal avatar alex6dj avatar feodoros avatar jkamsker avatar weihanli avatar slugger7 avatar vfrz avatar gorobvictor avatar namaneo avatar bobsilent avatar mii9000 avatar qe201020335 avatar tfleury avatar lostmsu avatar zhuker avatar xxbiohazrdxx avatar keg247 avatar hey-red avatar ep1kt3t0s avatar test-in-prod avatar tugrulelmas avatar notheisz57 avatar samburovkv avatar jogibear9988 avatar crydsch avatar assassinater avatar pklaes avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.