mirror of
https://github.com/n00mkrad/flowframes.git
synced 2025-12-16 16:37:48 +01:00
562 lines
24 KiB
C#
562 lines
24 KiB
C#
using Flowframes.IO;
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using System;
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using System.Diagnostics;
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using System.IO;
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using System.Linq;
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using System.Threading.Tasks;
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using Flowframes.Ui;
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using Flowframes.Main;
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using Flowframes.Data;
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using Flowframes.MiscUtils;
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using System.Collections.Generic;
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using ImageMagick;
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using Paths = Flowframes.IO.Paths;
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namespace Flowframes.Os
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{
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class AiProcess
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{
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public static bool hasShownError;
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public static string lastLogName;
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public static Process lastAiProcess;
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public static Stopwatch processTime = new Stopwatch();
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public static Stopwatch processTimeMulti = new Stopwatch();
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public static int lastStartupTimeMs = 1000;
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static string lastInPath;
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public static void Kill ()
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{
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if (lastAiProcess == null) return;
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try
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{
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AiProcessSuspend.SetRunning(false);
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OsUtils.KillProcessTree(lastAiProcess.Id);
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}
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catch (Exception e)
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{
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Logger.Log($"Failed to kill currentAiProcess process tree: {e.Message}", true);
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}
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}
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static void AiStarted (Process proc, int startupTimeMs, string inPath = "")
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{
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lastStartupTimeMs = startupTimeMs;
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processTime.Restart();
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lastAiProcess = proc;
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AiProcessSuspend.SetRunning(true);
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lastInPath = string.IsNullOrWhiteSpace(inPath) ? Interpolate.current.framesFolder : inPath;
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hasShownError = false;
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}
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static void SetProgressCheck(string interpPath, float factor)
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{
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int frames = IoUtils.GetAmountOfFiles(lastInPath, false);
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int target = ((frames * factor) - (factor - 1)).RoundToInt();
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InterpolationProgress.progressPaused = false;
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InterpolationProgress.currentFactor = factor;
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if (InterpolationProgress.progCheckRunning)
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InterpolationProgress.targetFrames = target;
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else
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InterpolationProgress.GetProgressByFrameAmount(interpPath, target);
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}
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static async Task AiFinished(string aiName)
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{
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if (Interpolate.canceled) return;
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Program.mainForm.SetProgress(100);
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AiProcessSuspend.SetRunning(false);
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int interpFramesFiles = IoUtils.GetAmountOfFiles(Interpolate.current.interpFolder, false, "*" + Interpolate.current.interpExt);
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int interpFramesCount = interpFramesFiles + InterpolationProgress.deletedFramesCount;
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InterpolationProgress.UpdateInterpProgress(interpFramesCount, InterpolationProgress.targetFrames);
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string logStr = $"Done running {aiName} - Interpolation took {FormatUtils.Time(processTime.Elapsed)}. Peak Output FPS: {InterpolationProgress.peakFpsOut.ToString("0.00")}";
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if (Interpolate.currentlyUsingAutoEnc && AutoEncode.HasWorkToDo())
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{
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logStr += " - Waiting for encoding to finish...";
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Program.mainForm.SetStatus("Creating output video from frames...");
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}
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Logger.Log(logStr);
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processTime.Stop();
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if(interpFramesCount < 3)
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{
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string[] logLines = File.ReadAllLines(Path.Combine(Paths.GetLogPath(), lastLogName + ".txt"));
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string log = string.Join("\n", logLines.Reverse().Take(10).Reverse().Select(x => x.Split("]: ").Last()).ToList());
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string amount = interpFramesCount > 0 ? $"Only {interpFramesCount}" : "No";
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Interpolate.Cancel($"Interpolation failed - {amount} interpolated frames were created.\n\n\nLast 10 log lines:\n{log}\n\nCheck the log '{lastLogName}' for more details.");
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return;
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}
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try
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{
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while (Interpolate.currentlyUsingAutoEnc && Program.busy)
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{
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if (AvProcess.lastAvProcess != null && !AvProcess.lastAvProcess.HasExited)
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{
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string lastLine = Logger.LastLogLine;
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if(lastLine.Contains("frame"))
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Logger.Log(FormatUtils.BeautifyFfmpegStats(lastLine), false, Logger.LastUiLine.ToLower().Contains("frame"));
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}
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if (AvProcess.lastAvProcess.HasExited && !AutoEncode.HasWorkToDo()) // Stop logging if ffmpeg is not running & AE is done
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break;
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await Task.Delay(500);
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}
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}
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catch(Exception e)
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{
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Logger.Log($"AiFinished encoder logging error: {e.Message}\n{e.StackTrace}", true);
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}
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}
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public static async Task RunRifeCuda(string framesPath, float interpFactor, string mdl)
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{
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if(Interpolate.currentlyUsingAutoEnc) // Ensure AutoEnc is not paused
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AutoEncode.paused = false;
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try
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{
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string rifeDir = Path.Combine(Paths.GetPkgPath(), Implementations.rifeCuda.pkgDir);
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string script = "rife.py";
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if (!File.Exists(Path.Combine(rifeDir, script)))
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{
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Interpolate.Cancel("RIFE script not found! Make sure you didn't modify any files.");
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return;
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}
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string archFilesDir = Path.Combine(rifeDir, "arch");
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string archFilesDirModel = Path.Combine(rifeDir, mdl, "arch");
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if (Directory.Exists(archFilesDirModel))
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{
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Logger.Log($"Model {mdl} has architecture python files - copying to arch.", true);
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IoUtils.DeleteContentsOfDir(archFilesDir);
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IoUtils.CopyDir(archFilesDirModel, archFilesDir);
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}
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await RunRifeCudaProcess(framesPath, Paths.interpDir, script, interpFactor, mdl);
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}
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catch (Exception e)
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{
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Logger.Log("Error running RIFE-CUDA: " + e.Message);
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}
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await AiFinished("RIFE");
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}
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public static async Task RunRifeCudaProcess (string inPath, string outDir, string script, float interpFactor, string mdl)
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{
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string outPath = Path.Combine(inPath.GetParentDir(), outDir);
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Directory.CreateDirectory(outPath);
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string uhdStr = await InterpolateUtils.UseUhd() ? "--UHD" : "";
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string wthreads = $"--wthreads {2 * (int)interpFactor}";
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string rbuffer = $"--rbuffer {Config.GetInt(Config.Key.rifeCudaBufferSize, 200)}";
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//string scale = $"--scale {Config.GetFloat("rifeCudaScale", 1.0f).ToStringDot()}";
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string prec = Config.GetBool(Config.Key.rifeCudaFp16) ? "--fp16" : "";
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string args = $" --input {inPath.Wrap()} --output {outDir} --model {mdl} --multi {interpFactor} {uhdStr} {wthreads} {rbuffer} {prec}";
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Process rifePy = OsUtils.NewProcess(!OsUtils.ShowHiddenCmd());
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AiStarted(rifePy, 3500);
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SetProgressCheck(Path.Combine(Interpolate.current.tempFolder, outDir), interpFactor);
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rifePy.StartInfo.Arguments = $"{OsUtils.GetCmdArg()} cd /D {Path.Combine(Paths.GetPkgPath(), Implementations.rifeCuda.pkgDir).Wrap()} & " +
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$"set CUDA_VISIBLE_DEVICES={Config.Get(Config.Key.torchGpus)} & {Python.GetPyCmd()} {script} {args}";
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Logger.Log($"Running RIFE (CUDA){(await InterpolateUtils.UseUhd() ? " (UHD Mode)" : "")}...", false);
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Logger.Log("cmd.exe " + rifePy.StartInfo.Arguments, true);
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if (!OsUtils.ShowHiddenCmd())
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{
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rifePy.OutputDataReceived += (sender, outLine) => { LogOutput(outLine.Data, "rife-cuda-log"); };
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rifePy.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "rife-cuda-log", true); };
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}
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rifePy.Start();
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if (!OsUtils.ShowHiddenCmd())
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{
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rifePy.BeginOutputReadLine();
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rifePy.BeginErrorReadLine();
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}
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while (!rifePy.HasExited) await Task.Delay(1);
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}
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public static async Task RunFlavrCuda(string framesPath, float interpFactor, string mdl)
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{
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if (Interpolate.currentlyUsingAutoEnc) // Ensure AutoEnc is not paused
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AutoEncode.paused = false;
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try
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{
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string flavDir = Path.Combine(Paths.GetPkgPath(), Implementations.flavrCuda.pkgDir);
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string script = "flavr.py";
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if (!File.Exists(Path.Combine(flavDir, script)))
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{
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Interpolate.Cancel("FLAVR script not found! Make sure you didn't modify any files.");
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return;
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}
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await RunFlavrCudaProcess(framesPath, Paths.interpDir, script, interpFactor, mdl);
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}
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catch (Exception e)
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{
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Logger.Log("Error running FLAVR-CUDA: " + e.Message);
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}
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await AiFinished("FLAVR");
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}
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public static async Task RunFlavrCudaProcess(string inPath, string outDir, string script, float interpFactor, string mdl)
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{
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string outPath = Path.Combine(inPath.GetParentDir(), outDir);
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Directory.CreateDirectory(outPath);
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string args = $" --input {inPath.Wrap()} --output {outPath.Wrap()} --model {mdl}/{mdl}.pth --factor {interpFactor}";
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Process flavrPy = OsUtils.NewProcess(!OsUtils.ShowHiddenCmd());
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AiStarted(flavrPy, 4000);
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SetProgressCheck(Path.Combine(Interpolate.current.tempFolder, outDir), interpFactor);
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flavrPy.StartInfo.Arguments = $"{OsUtils.GetCmdArg()} cd /D {Path.Combine(Paths.GetPkgPath(), Implementations.flavrCuda.pkgDir).Wrap()} & " +
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$"set CUDA_VISIBLE_DEVICES={Config.Get(Config.Key.torchGpus)} & {Python.GetPyCmd()} {script} {args}";
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Logger.Log($"Running FLAVR (CUDA)...", false);
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Logger.Log("cmd.exe " + flavrPy.StartInfo.Arguments, true);
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if (!OsUtils.ShowHiddenCmd())
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{
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flavrPy.OutputDataReceived += (sender, outLine) => { LogOutput(outLine.Data, "flavr-cuda-log"); };
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flavrPy.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "flavr-cuda-log", true); };
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}
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flavrPy.Start();
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if (!OsUtils.ShowHiddenCmd())
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{
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flavrPy.BeginOutputReadLine();
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flavrPy.BeginErrorReadLine();
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}
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while (!flavrPy.HasExited) await Task.Delay(1);
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}
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public static async Task RunRifeNcnn (string framesPath, string outPath, float factor, string mdl)
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{
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processTimeMulti.Restart();
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try
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{
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Logger.Log($"Running RIFE (NCNN){(await InterpolateUtils.UseUhd() ? " (UHD Mode)" : "")}...", false);
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//await RunRifeNcnnMulti(framesPath, outPath, factor, mdl);
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await RunRifeNcnnProcess(framesPath, factor, outPath, mdl);
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await DeleteNcnnDupes(outPath, factor);
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}
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catch (Exception e)
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{
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Logger.Log("Error running RIFE-NCNN: " + e.Message);
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}
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await AiFinished("RIFE");
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}
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static async Task RunRifeNcnnProcess(string inPath, float factor, string outPath, string mdl)
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{
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Directory.CreateDirectory(outPath);
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Process rifeNcnn = OsUtils.NewProcess(!OsUtils.ShowHiddenCmd());
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AiStarted(rifeNcnn, 1500, inPath);
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SetProgressCheck(outPath, factor);
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int targetFrames = ((IoUtils.GetAmountOfFiles(lastInPath, false, "*.*") * factor).RoundToInt()); // TODO: Maybe won't work with fractional factors ??
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string uhdStr = await InterpolateUtils.UseUhd() ? "-u" : "";
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string ttaStr = Config.GetBool(Config.Key.rifeNcnnUseTta, false) ? "-x" : "";
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rifeNcnn.StartInfo.Arguments = $"{OsUtils.GetCmdArg()} cd /D {Path.Combine(Paths.GetPkgPath(), Implementations.rifeNcnn.pkgDir).Wrap()} & rife-ncnn-vulkan.exe " +
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$" -v -i {inPath.Wrap()} -o {outPath.Wrap()} -n {targetFrames} -m {mdl.ToLower()} {ttaStr} {uhdStr} -g {Config.Get(Config.Key.ncnnGpus)} -f {GetNcnnPattern()} -j {GetNcnnThreads()}";
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Logger.Log("cmd.exe " + rifeNcnn.StartInfo.Arguments, true);
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if (!OsUtils.ShowHiddenCmd())
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{
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rifeNcnn.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "rife-ncnn-log"); };
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rifeNcnn.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "rife-ncnn-log", true); };
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}
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rifeNcnn.Start();
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if (!OsUtils.ShowHiddenCmd())
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{
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rifeNcnn.BeginOutputReadLine();
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rifeNcnn.BeginErrorReadLine();
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}
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while (!rifeNcnn.HasExited) await Task.Delay(1);
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}
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public static async Task RunDainNcnn(string framesPath, string outPath, float factor, string mdl, int tilesize)
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{
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if (Interpolate.currentlyUsingAutoEnc) // Ensure AutoEnc is not paused
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AutoEncode.paused = false;
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try
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{
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await RunDainNcnnProcess(framesPath, outPath, factor, mdl, tilesize);
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await DeleteNcnnDupes(outPath, factor);
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}
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catch (Exception e)
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{
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Logger.Log("Error running DAIN-NCNN: " + e.Message);
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}
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await AiFinished("DAIN");
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}
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public static async Task RunDainNcnnProcess (string framesPath, string outPath, float factor, string mdl, int tilesize)
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{
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string dainDir = Path.Combine(Paths.GetPkgPath(), Implementations.dainNcnn.pkgDir);
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Directory.CreateDirectory(outPath);
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Process dain = OsUtils.NewProcess(!OsUtils.ShowHiddenCmd());
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AiStarted(dain, 1500);
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SetProgressCheck(outPath, factor);
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int targetFrames = ((IoUtils.GetAmountOfFiles(lastInPath, false, "*.*") * factor).RoundToInt()) - (factor.RoundToInt() - 1); // TODO: Maybe won't work with fractional factors ??
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string args = $" -v -i {framesPath.Wrap()} -o {outPath.Wrap()} -n {targetFrames} -m {mdl.ToLower()}" +
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$" -t {GetNcnnTilesize(tilesize)} -g {Config.Get(Config.Key.ncnnGpus)} -f {GetNcnnPattern()} -j 2:1:2";
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dain.StartInfo.Arguments = $"{OsUtils.GetCmdArg()} cd /D {dainDir.Wrap()} & dain-ncnn-vulkan.exe {args}";
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Logger.Log("Running DAIN...", false);
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Logger.Log("cmd.exe " + dain.StartInfo.Arguments, true);
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if (!OsUtils.ShowHiddenCmd())
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{
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dain.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "dain-ncnn-log"); };
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dain.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "dain-ncnn-log", true); };
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}
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dain.Start();
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if (!OsUtils.ShowHiddenCmd())
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{
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dain.BeginOutputReadLine();
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dain.BeginErrorReadLine();
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}
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while (!dain.HasExited)
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await Task.Delay(100);
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}
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public static async Task RunXvfiCuda(string framesPath, float interpFactor, string mdl)
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{
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if (Interpolate.currentlyUsingAutoEnc) // Ensure AutoEnc is not paused
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AutoEncode.paused = false;
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try
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{
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string xvfiDir = Path.Combine(Paths.GetPkgPath(), Implementations.xvfiCuda.pkgDir);
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string script = "main.py";
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if (!File.Exists(Path.Combine(xvfiDir, script)))
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{
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Interpolate.Cancel("XVFI script not found! Make sure you didn't modify any files.");
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return;
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}
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await RunXvfiCudaProcess(framesPath, Paths.interpDir, script, interpFactor, mdl);
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}
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catch (Exception e)
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{
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Logger.Log("Error running XVFI-CUDA: " + e.Message);
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}
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await AiFinished("XVFI");
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}
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public static async Task RunXvfiCudaProcess(string inPath, string outDir, string script, float interpFactor, string mdlDir)
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{
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string pkgPath = Path.Combine(Paths.GetPkgPath(), Implementations.xvfiCuda.pkgDir);
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string basePath = inPath.GetParentDir();
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string outPath = Path.Combine(basePath, outDir);
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Directory.CreateDirectory(outPath);
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string mdlArgs = File.ReadAllText(Path.Combine(pkgPath, mdlDir, "args.ini"));
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string args = $" --custom_path {basePath.Wrap()} --input {inPath.Wrap()} --output {outPath.Wrap()} --mdl_dir {mdlDir}" +
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$" --multiple {interpFactor} --gpu 0 {mdlArgs}";
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Process xvfiPy = OsUtils.NewProcess(!OsUtils.ShowHiddenCmd());
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AiStarted(xvfiPy, 3500);
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SetProgressCheck(Path.Combine(Interpolate.current.tempFolder, outDir), interpFactor);
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xvfiPy.StartInfo.Arguments = $"{OsUtils.GetCmdArg()} cd /D {pkgPath.Wrap()} & " +
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$"set CUDA_VISIBLE_DEVICES={Config.Get(Config.Key.torchGpus)} & {Python.GetPyCmd()} {script} {args}";
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Logger.Log($"Running XVFI (CUDA)...", false);
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Logger.Log("cmd.exe " + xvfiPy.StartInfo.Arguments, true);
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if (!OsUtils.ShowHiddenCmd())
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{
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xvfiPy.OutputDataReceived += (sender, outLine) => { LogOutput(outLine.Data, "xvfi-cuda-log"); };
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xvfiPy.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "xvfi-cuda-log", true); };
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}
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xvfiPy.Start();
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if (!OsUtils.ShowHiddenCmd())
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{
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xvfiPy.BeginOutputReadLine();
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xvfiPy.BeginErrorReadLine();
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}
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while (!xvfiPy.HasExited) await Task.Delay(1);
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}
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static void LogOutput (string line, string logFilename, bool err = false)
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{
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if (string.IsNullOrWhiteSpace(line) || line.Length < 6)
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return;
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Stopwatch sw = new Stopwatch();
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sw.Restart();
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//if (line.Contains("iVBOR"))
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//{
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// try
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// {
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// string[] split = line.Split(':');
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// //MemoryStream stream = new MemoryStream(Convert.FromBase64String(split[1]));
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// //Image img = Image.FromStream(stream);
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// Logger.Log($"Received image {split[0]} in {sw.ElapsedMilliseconds} ms", true);
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// }
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// catch (Exception e)
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// {
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// Logger.Log($"Failed to decode b64 string - {e}:");
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// Logger.Log(line);
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// }
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// return;
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//}
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lastLogName = logFilename;
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Logger.Log(line, true, false, logFilename);
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if (line.Contains("ff:nocuda-cpu"))
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Logger.Log("WARNING: CUDA-capable GPU device is not available, running on CPU instead!");
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if (!hasShownError && err && line.ToLower().Contains("out of memory"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"Your GPU ran out of VRAM! Please try a video with a lower resolution or use the Max Video Size option in the settings.\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && line.ToLower().Contains("modulenotfounderror"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"A python module is missing.\nCheck {logFilename} for details.\n\n{line}", UiUtils.MessageType.Error);
|
|
if (!Python.HasEmbeddedPyFolder())
|
|
Process.Start("https://github.com/n00mkrad/flowframes/blob/main/PythonDependencies.md");
|
|
}
|
|
|
|
if (!hasShownError && line.ToLower().Contains("no longer supports this gpu"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"Your GPU seems to be outdated and is not supported!\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && line.ToLower().Contains("illegal memory access"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"Your GPU appears to be unstable! If you have an overclock enabled, please disable it!\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && line.ToLower().Contains("error(s) in loading state_dict"))
|
|
{
|
|
hasShownError = true;
|
|
string msg = (Interpolate.current.ai.aiName == Implementations.flavrCuda.aiName) ? "\n\nFor FLAVR, you need to select the correct model for each scale!" : "";
|
|
UiUtils.ShowMessageBox($"Error loading the AI model!\n\n{line}{msg}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && line.ToLower().Contains("unicodeencodeerror"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"It looks like your path contains invalid characters - remove them and try again!\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && (line.Contains("RuntimeError") || line.Contains("ImportError") || line.Contains("OSError")))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"A python error occured during interpolation!\nCheck {logFilename} for details.\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && line.MatchesWildcard("vk*Instance* failed"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"Vulkan failed to start up!\n\n{line}\n\nThis most likely means your GPU is not compatible.", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && line.Contains("vkAllocateMemory failed"))
|
|
{
|
|
hasShownError = true;
|
|
bool usingDain = (Interpolate.current.ai.aiName == Implementations.dainNcnn.aiName);
|
|
string msg = usingDain ? "\n\nTry reducing the tile size in the AI settings." : "\n\nTry a lower resolution (Settings -> Max Video Size).";
|
|
UiUtils.ShowMessageBox($"Vulkan ran out of memory!\n\n{line}{msg}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && line.Contains("invalid gpu device"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"A Vulkan error occured during interpolation!\n\n{line}\n\nAre your GPU IDs set correctly?", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (!hasShownError && err && line.MatchesWildcard("vk* failed"))
|
|
{
|
|
hasShownError = true;
|
|
UiUtils.ShowMessageBox($"A Vulkan error occured during interpolation!\n\n{line}", UiUtils.MessageType.Error);
|
|
}
|
|
|
|
if (hasShownError)
|
|
Interpolate.Cancel();
|
|
|
|
InterpolationProgress.UpdateLastFrameFromInterpOutput(line);
|
|
}
|
|
|
|
static string GetNcnnPattern ()
|
|
{
|
|
return $"%0{Padding.interpFrames}d{Interpolate.current.interpExt}";
|
|
}
|
|
|
|
static string GetNcnnTilesize(int tilesize)
|
|
{
|
|
int gpusAmount = Config.Get(Config.Key.ncnnGpus).Split(',').Length;
|
|
string tilesizeStr = $"{tilesize}";
|
|
|
|
for (int i = 1; i < gpusAmount; i++)
|
|
tilesizeStr += $",{tilesize}";
|
|
|
|
return tilesizeStr;
|
|
}
|
|
|
|
static string GetNcnnThreads ()
|
|
{
|
|
int gpusAmount = Config.Get(Config.Key.ncnnGpus).Split(',').Length;
|
|
int procThreads = Config.GetInt(Config.Key.ncnnThreads);
|
|
string progThreadsStr = $"{procThreads}";
|
|
|
|
for (int i = 1; i < gpusAmount; i++)
|
|
progThreadsStr += $",{procThreads}";
|
|
|
|
return $"4:{progThreadsStr}:4"; ;
|
|
}
|
|
|
|
static async Task DeleteNcnnDupes (string dir, float factor)
|
|
{
|
|
int dupeCount = InterpolateUtils.GetRoundedInterpFramesPerInputFrame(factor);
|
|
Logger.Log($"DeleteNcnnDupes: Calculated dupe count from factor; deleting last {dupeCount} interp frames ({IoUtils.GetAmountOfFiles(dir, false)} files)", true);
|
|
IoUtils.GetFileInfosSorted(dir, false).Reverse().Take(dupeCount).ToList().ForEach(x => x.Delete());
|
|
}
|
|
|
|
static double Compare(string referenceImg, string compareImg)
|
|
{
|
|
return new MagickImage(referenceImg).Compare(new MagickImage(compareImg), ErrorMetric.PeakSignalToNoiseRatio);
|
|
}
|
|
}
|
|
}
|