寫在前面:
該主題為2022年12月份.NET Conf China 2022我的主題,專案地址:https://github.com/sdcb/Sdcb.FFmpeg
對應的PPT可以從這下載:https://io.starworks.cc:88/cv-public/2022/.NET玩轉音視訊操作FFmpeg.pptx
對應的視訊可以從這裡觀看(從3:19:00開始):https://bbs.csdn.net/topics/609897502
FFmpeg
是知名的音訊視訊處理軟體,我平時工作生活中會經常用到。但同時我也是.NET
程式設計師,在嘗試性的用C#
呼叫FFmpeg
時,有以下這些選擇:
如果基於命令列的話,有以下優缺點:
如果是基於C API做平臺呼叫,則可以很好解決上面一些問題,有如下優缺點:
受制於以上這些困難,我以業界普遍使用的開源專案FFmpeg.AutoGen
為基礎,我我自己動手做了一個Sdcb.FFmpeg
,它有如下優點:
ClangMacroParser
依賴,因此比原版支援更多的宏解析[DllImport]
,這在.NET Core中可以自動從NuGet包中載入dll,這更符合.NET社群共識AVCodecID.AV_CODEC_ID_H264
-> AVCodecID.H264
ffmpeg.AV_DICT_MATCH_CASE
-> AV_DICT_READ.MatchCase
CodecContext
和MediaDictionary
NuGet
包,這可以保障程式不需要安裝外部依賴直接就能執行FFmpeg 5.x:
Package | Link |
---|---|
Sdcb.FFmpeg | |
Sdcb.FFmpeg.runtime.windows-x64 |
FFmpeg 4.4.x:
Package | Link |
---|---|
Sdcb.FFmpeg | |
Sdcb.FFmpeg.runtime.windows-x64 |
Linux
下你並不需要這些NuGet
包,Linux
的發行版本很多,這些發行版大都內建了FFmpeg
這樣非常常見的庫,比如在Ubuntu 22.04
中,就可以通過如下命令來安裝FFmpeg 5.x
的動態連結庫:
apt update
apt install software-properties-common
add-apt-repository ppa:savoury1/ffmpeg4 -y
add-apt-repository ppa:savoury1/ffmpeg5 -y
apt update
apt install ffmpeg -y
如果是FFmpeg 4.x
,則可以通過以下命令來安裝動態連結庫:
apt update
apt install software-properties-common
add-apt-repository ppa:savoury1/ffmpeg4 -y
apt update
apt install ffmpeg -y
如果是MacOS
,則可以通過以下命令來安裝動態連結庫:
brew install ffmpeg
NuGet
包一般會和libc
相關的庫繫結,沒有很好的泛用性,而且一般Linux
中有更好的解決方案,因此我沒有為Linux
製作執行時NuGet
包。
但不要理解錯了,Sdcb.FFmpeg
在Linux
中也是經過測試的,也執行得很好,Github Actions
測試連結:https://github.com/sdcb/Sdcb.FFmpeg/actions
其實我並不是一上來就準備另起爐灶,一開始我受到北京大佬於宏偉這個EmguFFmpeg專案的啟發,覺得FFmpeg.AutoGen
確實很難用,但只要依賴於FFmpeg.AutoGen
,稍做點封裝,就能減少許多維護工作,為此我於2020~2021年一直在想辦法開發和維護這個開源專案:Sdcb.FFmpegAPIWrapper,這個專案是完全基於Sdcb.FFmpeg
開發的,當時這個專案也已經基本完成(就是沒怎麼做宣傳、範例和教學)。
然而隨著專案的深入,我越來越覺得直接依賴於FFmpeg.AutoGen
會導致程式碼過於「笨重」,比如同一套東西,原始的和「高階」的有兩種不同的寫法(比如同時存在AVCodecID.AV_CODEC_ID_H264
和AVCodecID.H264
,使用者大概率會迷失,因此經過了許久的迷茫期後我終於下定決心改造FFmpeg.AutoGen
,整個改造的過程伴隨了大約一年的時間,最後就造就了今天的狀態。
可以理解這個範例是FFmpeg
的「Hello World」,需要參照如下NuGet包:
需要參照以下名稱空間:
完整程式碼如下(點選展開):
// this example is based on Sdcb.FFmpeg 5.1.2
FFmpegLogger.LogWriter = (level, msg) => Console.Write(msg);
using FormatContext fc = FormatContext.AllocOutput(formatName: "mp4");
fc.VideoCodec = Codec.CommonEncoders.Libx264;
MediaStream vstream = fc.NewStream(fc.VideoCodec);
using CodecContext vcodec = new CodecContext(fc.VideoCodec)
{
Width = 800,
Height = 600,
TimeBase = new AVRational(1, 30),
PixelFormat = AVPixelFormat.Yuv420p,
Flags = AV_CODEC_FLAG.GlobalHeader,
};
vcodec.Open(fc.VideoCodec);
vstream.Codecpar!.CopyFrom(vcodec);
vstream.TimeBase = vcodec.TimeBase;
string outputPath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop), "muxing.mp4");
fc.DumpFormat(streamIndex: 0, outputPath, isOutput: true);
using IOContext io = IOContext.OpenWrite(outputPath);
fc.Pb = io;
fc.WriteHeader();
VideoFrameGenerator.Yuv420pSequence(vcodec.Width, vcodec.Height, 600)
.ConvertFrames(vcodec)
.EncodeAllFrames(fc, null, vcodec)
.WriteAll(fc);
fc.WriteTrailer();
執行後應該可以在桌面上看到一個muxing.mp4
的檔案,這個檔案就是通過上述程式碼生成的,這個視訊效果如下圖所示:
值得一提的是,我寫了VideoFrameGenerator.Yuv420pSequence
,它輸入了少量引數,返回了IEnumerable<Frame>
(或者在其它範例中IEnumerable<Packet>
),這是我專案裡面非常常見的寫法,這樣既體現了C#
語言簡明強大的魅力,又其實保障了資源管理和記憶體釋放。
這個範例將展示如何將一個視訊壓制成如下引數,這些引數也是微信Windows桌面端視訊不受二壓的引數:
需要參照如下NuGet包:
需要參照如下名稱空間:
完整程式碼如下(點選展開):
void Main()
{
FFmpegLogger.LogLevel = LogLevel.Error;
FFmpegLogger.LogWriter = (level, msg) => Console.Write(msg);
Task.Run(() => A7r3VideoToWechat(@"Y:\a7r3\2022-12-12\C0060.MP4")).Wait();
}
void A7r3VideoToWechat(string mp4Path)
{
using FormatContext inFc = FormatContext.OpenInputUrl(mp4Path);
inFc.LoadStreamInfo();
// prepare input stream/codec
MediaStream inAudioStream = inFc.GetAudioStream();
using CodecContext audioDecoder = new(Codec.FindDecoderById(inAudioStream.Codecpar!.CodecId));
audioDecoder.FillParameters(inAudioStream.Codecpar);
audioDecoder.Open();
audioDecoder.ChannelLayout = (ulong)ffmpeg.av_get_default_channel_layout(audioDecoder.Channels);
MediaStream inVideoStream = inFc.GetVideoStream();
using CodecContext videoDecoder = new(Codec.FindDecoderByName("h264_cuvid"));
videoDecoder.FillParameters(inVideoStream.Codecpar!);
videoDecoder.Open();
// dest file
string destFile = Path.Combine(Path.GetDirectoryName(mp4Path)!, Path.GetFileNameWithoutExtension(mp4Path) + "_wechat.mp4");
using FormatContext outFc = FormatContext.AllocOutput(fileName: destFile);
// dest encoder and streams
outFc.AudioCodec = Codec.CommonEncoders.AAC;
MediaStream outAudioStream = outFc.NewStream(outFc.AudioCodec);
using CodecContext audioEncoder = new(outFc.AudioCodec)
{
Channels = 1,
SampleFormat = outFc.AudioCodec.Value.NegociateSampleFormat(AVSampleFormat.Fltp),
SampleRate = outFc.AudioCodec.Value.NegociateSampleRates(48000),
BitRate = 48000
};
audioEncoder.ChannelLayout = (ulong)ffmpeg.av_get_default_channel_layout(audioEncoder.Channels);
audioEncoder.TimeBase = new AVRational(1, audioEncoder.SampleRate);
audioEncoder.Open(outFc.AudioCodec);
outAudioStream.Codecpar!.CopyFrom(audioEncoder);
outFc.VideoCodec = Codec.FindEncoderByName("libx264");
MediaStream outVideoStream = outFc.NewStream(outFc.VideoCodec);
using VideoFilterContext vfilter = VideoFilterContext.Create(inVideoStream, "scale=1920:-1");
using CodecContext videoEncoder = new(outFc.VideoCodec)
{
Flags = AV_CODEC_FLAG.GlobalHeader,
ThreadCount = Environment.ProcessorCount,
ThreadType = ffmpeg.FF_THREAD_FRAME,
BitRate = 595_000
};
vfilter.ConfigureEncoder(videoEncoder);
var dict = new MediaDictionary
{
//["qp"] = "30",
["tune"] = "zerolatency",
["preset"] = "veryfast"
};
videoEncoder.Open(outFc.VideoCodec, dict);
//dict.Dump();
outVideoStream.Codecpar!.CopyFrom(videoEncoder);
outVideoStream.TimeBase = videoEncoder.TimeBase;
// begin write
using IOContext io = IOContext.OpenWrite(destFile);
outFc.Pb = io;
outFc.WriteHeader();
MediaThreadQueue<Frame> decodingQueue = inFc
.ReadPackets(inVideoStream.Index, inAudioStream.Index)
.DecodeAllPackets(inFc, audioDecoder, videoDecoder)
.ToThreadQueue(cancellationToken: QueryCancelToken, boundedCapacity: 64);
MediaThreadQueue<Packet> encodingQueue = decodingQueue.GetConsumingEnumerable()
.ApplyVideoFilters(vfilter)
.ConvertAllFrames(audioEncoder, videoEncoder)
.AudioFifo(audioEncoder)
.EncodeAllFrames(outFc, audioEncoder, videoEncoder)
.ToThreadQueue(cancellationToken: QueryCancelToken);
CancellationTokenSource end = new();
QueryCancelToken.Register(() => end.Cancel());
Dictionary<int, PtsDts> ptsDts = new();
Task.Run(async () =>
{
double totalDuration = Math.Max(inVideoStream.GetDurationInSeconds(), inAudioStream.GetDurationInSeconds());
try
{
while (!end.IsCancellationRequested)
{
Log();
await Task.Delay(1000, end.Token);
}
}
finally
{
Log();
}
void Log() => Console.WriteLine($"{GetStatusText()}, dec/enc queue: {decodingQueue.Count}/{encodingQueue.Count}");
string GetStatusText() => $"{(outVideoStream.TimeBase * ptsDts.GetValueOrDefault(outVideoStream.Index, PtsDts.Default).Dts).ToDouble():F2} of {totalDuration:F2}";
});
encodingQueue.GetConsumingEnumerable()
.RecordPtsDts(ptsDts)
.WriteAll(outFc);
end.Cancel();
outFc.WriteTrailer();
}
執行效果如圖(將500多MB壓縮為5MB):
值得一提的是這裡的MediaThreadQueue<Frame>
和MediaThreadQueue<Packet>
,內部都是基於C#
的BlockingCollection
加多執行緒做的,這樣可能提高效率,保證效能。
注意,我建立了一個demo網站可以用於演示該功能,可以點選「生成」按鈕,比如可以得到這樣的表情包:
我把所有有完整Visual Studio
程式碼範例上傳到了Github,可以在這下載:https://github.com/sdcb/ffmpeg-wjz-sorry-generator
它有如下步驟和要點:
注意這個demo我用到了Direct2D
,它基於這個開源專案做的:Vortice.Windows
這個可以實現將一臺電腦的螢幕內容,以較低的網路開銷,通過網路實時地傳輸到另一臺電腦,它的使用場景包含實時視訊通話、遠端投屏、遠端桌面控制等。
程式碼分為兩部分,桌面錄製-編碼-傳送端和遠端接收-解碼-顯示端。
需要參照NuGet
包:
完整原始碼如下(點選展開):
// This example was initially written based on Sdcb.FFmpeg 4.4.3 & Sdcb.ScreenCapture
void Main()
{
StartService(QueryCancelToken);
}
void StartService(CancellationToken cancellationToken = default)
{
var tcpListener = new TcpListener(IPAddress.Any, 5555);
cancellationToken.Register(() => tcpListener.Stop());
tcpListener.Start();
while (!cancellationToken.IsCancellationRequested)
{
TcpClient client = tcpListener.AcceptTcpClient();
Task.Run(() => ServeClient(client, cancellationToken));
}
}
void ServeClient(TcpClient tcpClient, CancellationToken cancellationToken = default)
{
try
{
using var _ = tcpClient;
using NetworkStream stream = tcpClient.GetStream();
using BinaryWriter writer = new(stream);
RectI screenSize = ScreenCapture.GetScreenSize(screenId: 0);
RdpCodecParameter rcp = new(AVCodecID.H264, screenSize.Width, screenSize.Height, AVPixelFormat.Bgr0);
using CodecContext cc = new(Codec.CommonEncoders.Libx264RGB)
{
Width = rcp.Width,
Height = rcp.Height,
PixelFormat = rcp.PixelFormat,
TimeBase = new AVRational(1, 20),
};
cc.Open(null, new MediaDictionary
{
["crf"] = "30",
["tune"] = "zerolatency",
["preset"] = "veryfast"
});
writer.Write(rcp.ToArray());
using Frame source = new();
foreach (Packet packet in ScreenCapture
.CaptureScreenFrames(screenId: 0)
.ToBgraFrame()
.ConvertFrames(cc)
.EncodeFrames(cc))
{
if (cancellationToken.IsCancellationRequested)
{
break;
}
writer.Write(packet.Data.Length);
writer.Write(packet.Data.AsSpan());
}
}
catch (IOException ex)
{
// Unable to write data to the transport connection: 遠端主機強迫關閉了一個現有的連線。.
// Unable to write data to the transport connection: 你的主機中的軟體中止了一個已建立的連線。
ex.Dump();
}
}
public class Filo<T> : IDisposable
{
private T? Item { get; set; }
private ManualResetEventSlim Notify { get; } = new ManualResetEventSlim();
public void Update(T item)
{
Item = item;
Notify.Set();
}
public IEnumerable<T> Consume(CancellationToken cancellationToken = default)
{
while (!cancellationToken.IsCancellationRequested)
{
Notify.Wait(cancellationToken);
yield return Item!;
}
}
public void Dispose() => Notify.Dispose();
}
public static class BgraFrameExtensions
{
public static IEnumerable<Frame> ToBgraFrame(this IEnumerable<LockedBgraFrame> bgras)
{
using Frame frame = new Frame();
foreach (LockedBgraFrame bgra in bgras)
{
frame.Width = bgra.Width;
frame.Height = bgra.Height;
frame.Format = (int)AVPixelFormat.Bgra;
frame.Data[0] = bgra.DataPointer;
frame.Linesize[0] = bgra.RowPitch;
yield return frame;
}
}
}
record RdpCodecParameter(AVCodecID CodecId, int Width, int Height, AVPixelFormat PixelFormat)
{
public byte[] ToArray()
{
byte[] data = new byte[16];
Span<byte> span = data.AsSpan();
BinaryPrimitives.WriteInt32LittleEndian(span, (int)CodecId);
BinaryPrimitives.WriteInt32LittleEndian(span[4..], Width);
BinaryPrimitives.WriteInt32LittleEndian(span[8..], Height);
BinaryPrimitives.WriteInt32LittleEndian(span[12..], (int)PixelFormat);
return data;
}
}
值得一提的是Sdcb.ScreenCapture
這個NuGet
包也是我做的,它是基於DXGI
的技術,錄屏時能做到記憶體0複製,可以實現每秒60幀錄屏且CPU佔用率很低。這裡挖個坑以後有機會介紹這個開源專案,Github地址如下:https://github.com/sdcb/Sdcb.ScreenCapture
需要參照的NuGet包:
請點選展開顯示:
// This example was initially written based on Sdcb.FFmpeg 4.4.3 & FlysEngine.Desktop
#nullable enable
ManagedBgraFrame? managedFrame = null;
bool cancel = false;
unsafe void Main()
{
using RenderWindow w = new();
w.FormClosed += delegate { cancel = true; };
Task decodingTask = Task.Run(() => DecodeThread(() => (3840, 2160)));
w.Draw += (_, ctx) =>
{
ctx.Clear(Colors.CornflowerBlue);
if (managedFrame == null) return;
ManagedBgraFrame frame = managedFrame.Value;
fixed (byte* ptr = frame.Data)
{
//new System.Drawing.Bitmap(frame.Width, frame.Height, frame.RowPitch, System.Drawing.Imaging.PixelFormat.Format32bppPArgb, (IntPtr)ptr).DumpUnscaled();
BitmapProperties1 props = new(new PixelFormat(Format.B8G8R8A8_UNorm, Vortice.DCommon.AlphaMode.Premultiplied));
using ID2D1Bitmap bmp = ctx.CreateBitmap(new SizeI(frame.Width, frame.Height), (IntPtr)ptr, frame.RowPitch, props);
ctx.UnitMode = UnitMode.Dips;
ctx.DrawBitmap(bmp, 1.0f, InterpolationMode.NearestNeighbor);
}
};
RenderLoop.Run(w, () => w.Render(1, Vortice.DXGI.PresentFlags.None));
}
async Task DecodeThread(Func<(int width, int height)> sizeAccessor)
{
using TcpClient client = new TcpClient();
await client.ConnectAsync(IPAddress.Loopback, 5555);
using NetworkStream stream = client.GetStream();
using BinaryReader reader = new(stream);
RdpCodecParameter rcp = RdpCodecParameter.FromSpan(reader.ReadBytes(16));
using CodecContext cc = new(Codec.FindDecoderById(rcp.CodecId))
{
Width = rcp.Width,
Height = rcp.Height,
PixelFormat = rcp.PixelFormat,
};
cc.Open(null);
foreach (var frame in reader
.ReadPackets()
.DecodePackets(cc)
.ConvertVideoFrames(sizeAccessor, AVPixelFormat.Bgra)
.ToManaged()
)
{
if (cancel) break;
managedFrame = frame;
}
}
public static class FramesExtensions
{
public static IEnumerable<ManagedBgraFrame> ToManaged(this IEnumerable<Frame> bgraFrames, bool unref = true)
{
foreach (Frame frame in bgraFrames)
{
int rowPitch = frame.Linesize[0];
int length = rowPitch * frame.Height;
byte[] buffer = new byte[length];
Marshal.Copy(frame.Data._0, buffer, 0, length);
ManagedBgraFrame managed = new(buffer, length, length / frame.Height);
if (unref) frame.Unref();
yield return managed;
}
}
}
public record struct ManagedBgraFrame(byte[] Data, int Length, int RowPitch)
{
public int Width => RowPitch / BytePerPixel;
public int Height => Length / RowPitch;
public const int BytePerPixel = 4;
}
public static class ReadPacketExtensions
{
public static IEnumerable<Packet> ReadPackets(this BinaryReader reader)
{
using Packet packet = new();
while (true)
{
int packetSize = reader.ReadInt32();
if (packetSize == 0) yield break;
byte[] data = reader.ReadBytes(packetSize);
GCHandle dataHandle = GCHandle.Alloc(data, GCHandleType.Pinned);
try
{
packet.Data = new DataPointer(dataHandle.AddrOfPinnedObject(), packetSize);
yield return packet;
}
finally
{
dataHandle.Free();
}
}
}
}
record RdpCodecParameter(AVCodecID CodecId, int Width, int Height, AVPixelFormat PixelFormat)
{
public static RdpCodecParameter FromSpan(ReadOnlySpan<byte> data)
{
return new RdpCodecParameter(
CodecId: (AVCodecID)BinaryPrimitives.ReadInt32LittleEndian(data),
Width: BinaryPrimitives.ReadInt32LittleEndian(data[4..]),
Height: BinaryPrimitives.ReadInt32LittleEndian(data[8..]),
PixelFormat: (AVPixelFormat)BinaryPrimitives.ReadInt32LittleEndian(data[12..]));
}
}
兩者執行效果如圖:
可見傳輸延遲在0.28
秒的樣子,這是通過libx264
編碼通過yuv420p
傳輸的我4k
顯示器視訊,可見可以滿足實際網路會議演示、投屏直播、遠端控制方面的需求(如果是1080p延遲應該可以更低)。
注意該原始碼用上了我自己寫的開源Direct2D
封裝引擎:FlysEngine,你不需要關注它的細節(只需要安裝NuGet包即可),但如果你碰巧關注,這裡又挖個坑看以後有機會介紹介紹,在這之前只需要知道的是它只對D3D11、DXGI、Direct2D、WIC、DirectWrite做了一層薄薄的封裝。
這個程式依賴於如下NuGet包:
完整程式碼(點選展開):
#nullable enable
FFmpegBmp? ffBmp = null;
FFmpegBmp? lastFFbmp = null;
FFmpegLogger.LogWriter = (level, msg) => Console.Write(msg);
CancellationTokenSource cts = new();
using RenderWindow w = new();
Task.Run(() => DecodeRTSP(Util.GetPassword("home-rtsp-ipc"), cts.Token));
w.Draw += (_, ctx) =>
{
if (ffBmp == null) return;
if (lastFFbmp == ffBmp) return;
GCHandle handle = GCHandle.Alloc(ffBmp.Data, GCHandleType.Pinned);
try
{
using ID2D1Bitmap bmp = ctx.CreateBitmap(new SizeI(ffBmp.Width, ffBmp.Height), handle.AddrOfPinnedObject(), ffBmp.RowPitch, new BitmapProperties(new Vortice.DCommon.PixelFormat(Format.B8G8R8A8_UNorm, Vortice.DCommon.AlphaMode.Premultiplied)));
lastFFbmp = ffBmp;
Size clientSize = ctx.Size;
float top = (clientSize.Height - ffBmp.Height) / 2;
ctx.Transform = Matrix3x2.CreateTranslation(0, top);
ctx.DrawBitmap(bmp, 1.0f, InterpolationMode.Linear);
}
finally
{
handle.Free();
}
};
w.FormClosing += delegate { cts.Cancel(); };
RenderLoop.Run(w, () => w.Render(1, Vortice.DXGI.PresentFlags.None));
void DecodeRTSP(string url, CancellationToken cancellationToken = default)
{
using FormatContext fc = FormatContext.OpenInputUrl(url);
fc.LoadStreamInfo();
MediaStream videoStream = fc.GetVideoStream();
using CodecContext videoDecoder = new CodecContext(Codec.FindDecoderByName("hevc_qsv"));
videoDecoder.FillParameters(videoStream.Codecpar!);
videoDecoder.Open();
foreach (Frame frame in fc
.ReadPackets(videoStream.Index)
.DecodePackets(videoDecoder)
.ConvertVideoFrames(() => new(w.ClientSize.Width, w.ClientSize.Width * videoDecoder.Height / videoDecoder.Width), AVPixelFormat.Bgr0))
{
if (cancellationToken.IsCancellationRequested) break;
try
{
byte[] data = new byte[frame.Linesize[0] * frame.Height];
Marshal.Copy(frame.Data._0, data, 0, data.Length);
ffBmp = new FFmpegBmp(frame.Width, frame.Height, frame.Linesize[0], data);
}
finally
{
frame.Unref();
}
}
}
public record FFmpegBmp(int Width, int Height, int RowPitch, byte[] Data);
我農村老家的攝像頭使用的是RTSP攝像頭,這是使用上述程式碼的執行效果:
這個範例依賴於以下NuGet
包:
完整程式碼範例(請點選展開):
// The example was initially written using Sdcb.FFmpeg 4.4.3
FFmpegLogger.LogWriter = (level, msg) => Console.Write(msg);
using FormatContext inFc = FormatContext.OpenInputUrl(Util.GetPassword("home-rtsp-ipc"));
inFc.LoadStreamInfo();
MediaStream inAudioStream = inFc.GetAudioStream();
MediaStream inVideoStream = inFc.GetVideoStream();
long gpts_v = 0, gpts_a = 0, gdts_v = 0, gdts_a = 0;
while (!QueryCancelToken.IsCancellationRequested)
{
using FormatContext outFc = FormatContext.AllocOutput(formatName: "mov");
string dir = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop), "rtsp", DateTime.Now.ToString("yyyy-MM-dd"));
Directory.CreateDirectory(dir);
using IOContext io = IOContext.OpenWrite(Path.Combine(dir, $"{DateTime.Now:HHmmss}.mov"));
outFc.Pb = io;
MediaStream videoStream = outFc.NewStream(Codec.FindEncoderById(inVideoStream.Codecpar!.CodecId));
videoStream.Codecpar!.CopyFrom(inVideoStream.Codecpar);
videoStream.TimeBase = inVideoStream.RFrameRate.Inverse();
videoStream.SampleAspectRatio = inVideoStream.SampleAspectRatio;
MediaStream audioStream = outFc.NewStream(Codec.FindEncoderById(inAudioStream.Codecpar!.CodecId));
audioStream.Codecpar!.CopyFrom(inAudioStream.Codecpar);
audioStream.TimeBase = inAudioStream.TimeBase;
audioStream.Codecpar.ChannelLayout = (ulong)ffmpeg.av_get_default_channel_layout(inAudioStream.Codecpar.Channels);
outFc.WriteHeader();
FilterPackets(inFc.ReadPackets(inAudioStream.Index, inVideoStream.Index), videoFrameCount: 60 * 20)
.WriteAll(outFc);
outFc.WriteTrailer();
IEnumerable<Packet> FilterPackets(IEnumerable<Packet> packets, int videoFrameCount)
{
long pts_v = gpts_v, pts_a = gpts_a, dts_v = gdts_v, dts_a = gdts_a;
long[] buffer = new long[200];
long ithreshold = -1;
int videoFrame = 0;
foreach (Packet pkt in packets)
{
pkt.StreamIndex = pkt.StreamIndex == inAudioStream.Index ?
audioStream.Index :
videoStream.Index;
if (pkt.StreamIndex == inAudioStream.Index)
{
// audio
(gpts_a, gdts_a, pkt.Pts, pkt.Dts) = (pkt.Pts, pkt.Dts, pkt.Pts - pts_a, pkt.Dts - dts_a);
pkt.RescaleTimestamp(inAudioStream.TimeBase, audioStream.TimeBase);
}
else
{
// video
if (videoFrame < buffer.Length)
{
buffer[videoFrame] = pkt.Data.Length;
ithreshold = -1;
}
else if (videoFrame == buffer.Length)
{
ithreshold = buffer.Order().ToArray()[buffer.Length / 2] * 4;
}
if (videoFrame >= videoFrameCount && pkt.Data.Length > ithreshold)
{
break;
}
(gpts_v, gdts_v, pkt.Pts, pkt.Dts) = (pkt.Pts, pkt.Dts, pkt.Pts - pts_v, pkt.Dts - dts_v);
pkt.RescaleTimestamp(inVideoStream.TimeBase, videoStream.TimeBase);
videoFrame++;
}
yield return pkt;
}
}
}
這個程式可以全天候執行,執行後RTSP攝像頭錄的完整視訊和音訊,大約每1.5分鐘對應一個視訊檔,都會儲存到桌面的這個資料夾中(如圖):
這樣的話也許就有機會取代錄機了~
我認為把東西做出來和把東西做好是有區別的,以前在C#
裡面東西也就是「能用」的狀態,這和許多node.js
或者python
那樣的極客玩家有本質區別,希望通過這樣一個開源專案能向「.NET作為第一等公民」方向努力。
維護開源不易,喜歡的朋友請點個贊,賞個star:https://github.com/sdcb/Sdcb.FFmpeg
我也想能給自己立個flag,希望未來我可以封裝FlyCV
、libyuv
、x264
基於libaom-av1
,甚至也許有一點有機會做一個.NET
版本的FFmpeg
。
喜歡的朋友 請關注我的微信公眾號:【DotNet騷操作】