splitter/splitter-cli/TrackingSplitter.cs

466 lines
14 KiB
C#

using System.Diagnostics;
using System.Globalization;
using System.Runtime.InteropServices;
namespace splitter;
public class TrackingSplitter : LoggingBase, ISegmentProcessor, IDisposable
{
private readonly IObjectDetector _detector;
public TrackingSplitter(
int progressLine,
IObjectDetector detector,
SingleJob cmd,
ILogger logger)
: base(logger, progressLine)
{
_detector = detector;
}
public void Dispose()
{
if (_detector is IDisposable d)
d.Dispose();
}
public async Task ProcessSegment(SingleTask job, CancellationToken token)
{
var inputFile = job.Job.InputFile;
var outputFile = job.OutputFileName;
var start = job.SegmentStart;
var length = job.SegmentLength;
var videoWidth = job.Info.Width;
var videoHeight = job.Info.Height;
var fps = job.Info.Fps;
var bitrate = job.Info.Bitrate;
var ffmpegPassthroughParameters = job.Job.Passthrough;
var name = Path.GetFileNameWithoutExtension(outputFile);
if (videoWidth <= 0 || videoHeight <= 0 || fps <= 0)
{
LogError($"{name}: ffprobe failed to get metadata");
return;
}
if (job.Job.Crop == null)
{
LogError($"{name}: Crop parameters are required");
return;
}
// Processing size (what you crop / feed into enhancer)
var procWidth = job.Job.Debug ? videoWidth : job.Job.Crop.Value.width;
var procHeight = job.Job.Debug ? videoHeight : job.Job.Crop.Value.height;
IVideoEnhancer? enhancer = null;
const int window = 5;
if (job.Job.Enhance)
{
enhancer = new RealBasicVsr2xDmlEnhancer();
await enhancer.InitializeAsync(procWidth, procHeight, window, token);
}
// Encoding size (what FFmpeg encoder expects)
var encWidth = enhancer != null ? procWidth * enhancer.ResolutionMultiplier : procWidth;
var encHeight = enhancer != null ? procHeight * enhancer.ResolutionMultiplier : procHeight;
LogInfo($"{name}: src={videoWidth}x{videoHeight} @ {fps:F3}fps, seg=[{start:F3},{length:F3}] proc={procWidth}x{procHeight} enc={encWidth}x{encHeight}");
var decode = await StartFfmpegDecode(inputFile, start, length, job.Job.Rotate, job.Job.PlainText, token);
using var decodeStdout = decode.StandardOutput.BaseStream;
var encode = await StartFfmpegEncode(
inputFile,
outputFile,
start,
length,
encWidth,
encHeight,
job.Info,
ffmpegPassthroughParameters,
job.Job.PlainText,
token);
using var encodeStdin = encode.StandardInput.BaseStream;
// Input: always full frame
var inBytes = videoWidth * videoHeight * 3;
// Output: encoded frame size (may be 4x if enhancement enabled)
var outBytes = encWidth * encHeight * 3;
var inBuffer = new byte[inBytes];
var outBuffer = new byte[outBytes];
using var frameMat = new Mat(videoHeight, videoWidth, MatType.CV_8UC3);
// outMat is processing size (crop), not necessarily encoding size
using var outMat = new Mat(procHeight, procWidth, MatType.CV_8UC3);
var kalman = new KalmanTracker();
var camera = new CameraController(
videoWidth,
videoHeight,
job.Job.Crop.Value.width,
job.Job.Crop.Value.height,
kalman,
job.Job);
try
{
var startTime = DateTime.UtcNow;
var totalFrames = (int)Math.Round(length * fps);
var frameIndex = 0;
var enhancedOutput = new Mat[window];
//totalFrames = 10;
while (frameIndex < totalFrames)
{
token.ThrowIfCancellationRequested();
frameIndex++;
var read = await ReadExact(decodeStdout, inBuffer, 0, inBytes, token);
if (read != inBytes)
break;
Marshal.Copy(inBuffer, 0, frameMat.Data, inBytes);
var objects = _detector.DetectAll(frameMat);
var primary = SelectTrackedObject(objects, kalman.LastMeasurement);
camera.Update(primary);
var roi = camera.Roi;
if (job.Job.Debug)
{
DrawDebug(frameMat, objects, camera, kalman);
frameMat.CopyTo(outMat); // outMat: procWidth x procHeight == full frame in debug
}
else
{
using var cropped = new Mat(frameMat, roi);
cropped.CopyTo(outMat); // outMat: procWidth x procHeight == crop
}
Mat frameToWrite = outMat;
if (enhancer != null)
{
if (enhancer.TryProcessFrame(outMat, out var enhanced, token))
frameToWrite = enhanced; // enhanced: encWidth x encHeight
else
continue;
}
Marshal.Copy(frameToWrite.Data, outBuffer, 0, outBytes);
encodeStdin.Write(outBuffer, 0, outBytes);
var elapsed = DateTime.UtcNow - startTime;
var progress = totalFrames > 0 ? (double)frameIndex / totalFrames : 0.0;
var speed = elapsed.TotalSeconds > 0 ? (frameIndex / elapsed.TotalSeconds) / fps : 0.0;
var remainingFrames = Math.Max(totalFrames - frameIndex, 0);
var etaSeconds = speed > 0 ? remainingFrames / speed : 0.0;
var eta = TimeSpan.FromSeconds(etaSeconds);
DrawProgress(name, progress, eta, speed);
}
if (enhancer != null)
{
int count = enhancer.Flush(enhancedOutput, token);
for (int i = 0; i < count; i++)
{
var mat = enhancedOutput[i]; // encWidth x encHeight
Marshal.Copy(mat.Data, outBuffer, 0, outBytes);
encodeStdin.Write(outBuffer, 0, outBytes);
}
}
encodeStdin.Flush();
encodeStdin.Close();
await encode.WaitForExitAsync();
}
finally
{
if (enhancer is IAsyncDisposable asyncDisp)
await asyncDisp.DisposeAsync();
else if (enhancer is IDisposable disp)
disp?.Dispose();
}
try { if (!decode.HasExited) decode.Kill(entireProcessTree: true); } catch { }
try { if (!decode.HasExited) await decode.WaitForExitAsync(); } catch { }
ClearProgress(name);
if (encode.ExitCode != 0)
LogError($"{name}: FFmpeg encoding failed");
else
LogInfo($"{name}: Segment processing completed");
}
// ---------- FFmpeg decode / encode ----------
private async Task<Process> StartFfmpegDecode(string inputFile, double start, double length, int? rotate, bool plainText, CancellationToken token)
{
var ss = start .ToString("0.###", CultureInfo.InvariantCulture);
var t = length.ToString("0.###", CultureInfo.InvariantCulture);
var rotateStr = GetRorationArg(rotate);
var args =
$"-i \"{inputFile}\" -ss {ss} -t {t} " +
"-an -sn " +
$"-vf format=bgr24{rotateStr} " +
"-f rawvideo -";
var psi = new ProcessStartInfo
{
FileName = "ffmpeg",
Arguments = args,
RedirectStandardOutput = true,
RedirectStandardError = true,
UseShellExecute = false,
CreateNoWindow = true
};
var p = new Process { StartInfo = psi };
p.Start();
var fileName = Path.GetFileName(inputFile);
_ = Task.Run(async () =>
{
try
{
string? line;
while ((line = await p.StandardError.ReadLineAsync(token)) != null)
if (plainText)
LogInfo($"[ffmpeg-decode] {fileName}: {line}");
}
catch { }
});
return p;
}
public static string GetRorationArg(int? rotate)
{
var rotateStr = "";
if (rotate != null)
{
switch (rotate.Value)
{
case 90: rotateStr = ",transpose=1"; break;
case 180: rotateStr = ",transpose=PI"; break;
case 270: rotateStr = ",transpose=2"; break;
}
}
return rotateStr;
}
private async Task<Process> StartFfmpegEncode(
string inputFile,
string outputFile,
double start,
double length,
int width, int height,
VideoInfo info,
string[] passthrough,
bool plainText,
CancellationToken token)
{
var pass = passthrough.Length > 0 ? string.Join(" ", passthrough) : "";
var fpsStr = info.Fps.ToString("0.###", CultureInfo.InvariantCulture);
var ss = start.ToString("0.###", CultureInfo.InvariantCulture);
var t = length.ToString("0.###", CultureInfo.InvariantCulture);
var sarArg = !string.IsNullOrWhiteSpace(info.SampleAspectRatio)
? $"-vf setsar={info.SampleAspectRatio} "
: "";
var darArg = "";
if (info.Sar is { } s)
{
// compute DAR from output size and SAR
var darNum = width * s.X;
var darDen = height * s.Y;
// clamp to int and reduce
var dn = (int)Math.Min(int.MaxValue, Math.Max(int.MinValue, darNum));
var dd = (int)Math.Min(int.MaxValue, Math.Max(int.MinValue, darDen));
ReduceFraction(ref dn, ref dd);
if (dn > 0 && dd > 0)
darArg = $"-aspect {dn}:{dd} ";
}
var args =
"-y " +
$"-f rawvideo -pix_fmt bgr24 -s {width}x{height} -r {fpsStr} -i - " +
$"-ss {ss} -i \"{inputFile}\" " +
"-map 0:v:0 -map 1:a:0? -shortest " +
"-c:v h264_nvenc -preset p4 -b:v 8M -pix_fmt yuv420p " +
sarArg + darArg +
"-c:a copy " +
pass + $" \"{outputFile}\"";
// "-c:a aac -b:a 192k " +
var psi = new ProcessStartInfo
{
FileName = "ffmpeg",
Arguments = args,
RedirectStandardInput = true,
RedirectStandardError = true,
UseShellExecute = false,
CreateNoWindow = true
};
var p = new Process { StartInfo = psi };
p.Start();
var fileName = Path.GetFileName(outputFile);
_ = Task.Run(async () =>
{
try
{
string? line;
while ((line = await p.StandardError.ReadLineAsync(token)) != null)
{
if (plainText)
LogInfo($"[ffmpeg-encode] {fileName}: {line}");
}
}
catch { }
});
return p;
}
// ---------- helpers ----------
private static void ReduceFraction(ref int num, ref int den)
{
int Gcd(int a, int b)
{
while (b != 0)
{
var t = b;
b = a % b;
a = t;
}
return a;
}
var g = Gcd(Math.Abs(num), Math.Abs(den));
if (g > 1)
{
num /= g;
den /= g;
}
}
private static async Task<int> ReadExact(Stream s, byte[] buffer, int offset, int count, CancellationToken token)
{
var total = 0;
while (total < count)
{
var read = await s.ReadAsync(buffer, offset + total, count - total, token);
if (read <= 0)
break;
total += read;
}
return total;
}
private void DrawDebug(
Mat frame,
System.Collections.Generic.List<(Rect box, Point2f center)> objects,
CameraController camera,
KalmanTracker kalman)
{
if (camera.ObjectBox.HasValue)
{
var fb = camera.ObjectBox.Value;
Cv2.Rectangle(frame, fb, Scalar.LimeGreen, 2);
}
Cv2.Circle(frame,
new Point((int)camera.SmoothedCenter.X, (int)camera.SmoothedCenter.Y),
6, Scalar.LimeGreen, -1);
Cv2.Rectangle(frame, camera.Roi,
camera.ObjectCenter.HasValue ? Scalar.Yellow : Scalar.Red, 3);
DrawText(frame, $"Faces: {objects.Count}", 20, 40, Scalar.White);
DrawText(frame, $"LostFrames: {camera.LostFrames}", 20, 70, Scalar.White);
DrawText(frame, $"Noise: {kalman.CurrentNoise:F3}", 20, 130, Scalar.White);
DrawText(frame, $"Camera: {camera.CameraCenter.X:F1},{camera.CameraCenter.Y:F1}", 20, 160, Scalar.White);
}
private static void DrawText(Mat img, string text, int x, int y, Scalar color)
{
Cv2.PutText(img, text, new Point(x, y),
HersheyFonts.HersheySimplex, 0.6, color, 2);
}
private (Rect box, Point2f center)? SelectTrackedObject(
List<(Rect box, Point2f center)> foundObjects,
Point2f? previousCenter)
{
if (foundObjects == null || foundObjects.Count == 0)
return null;
if (!previousCenter.HasValue)
{
var bestIndex = 0;
var bestArea = float.MinValue;
for (var i = 0; i < foundObjects.Count; i++)
{
var f = foundObjects[i];
var area = f.box.Width * f.box.Height;
if (area > bestArea)
{
bestArea = area;
bestIndex = i;
}
}
return foundObjects[bestIndex];
}
else
{
var prev = previousCenter.Value;
var bestIndex = 0;
var bestDist2 = float.MaxValue;
for (var i = 0; i < foundObjects.Count; i++)
{
var f = foundObjects[i];
var dx = f.center.X - prev.X;
var dy = f.center.Y - prev.Y;
var d2 = dx * dx + dy * dy;
if (d2 < bestDist2)
{
bestDist2 = d2;
bestIndex = i;
}
}
return foundObjects[bestIndex];
}
}
}