using Flowframes.IO; using System; using System.Collections.Generic; using System.Diagnostics; using System.IO; using System.Linq; using System.Runtime.InteropServices; using System.Text; using System.Threading.Tasks; using Flowframes.OS; using Flowframes.UI; using Flowframes.Main; using Flowframes.Data; using Flowframes.MiscUtils; namespace Flowframes { class AiProcess { public static bool hasShownError; public static Process currentAiProcess; public static Stopwatch processTime = new Stopwatch(); public static Stopwatch processTimeMulti = new Stopwatch(); public static int lastStartupTimeMs = 1000; static string lastInPath; public static Dictionary filenameMap = new Dictionary(); // TODO: Store on disk instead for crashes? static void AiStarted (Process proc, int startupTimeMs, int factor, string inPath = "") { lastStartupTimeMs = startupTimeMs; processTime.Restart(); currentAiProcess = proc; lastInPath = string.IsNullOrWhiteSpace(inPath) ? Interpolate.current.framesFolder : inPath; int frames = IOUtils.GetAmountOfFiles(lastInPath, false, "*.png"); InterpolateUtils.currentFactor = factor; InterpolateUtils.targetFrames = (frames * factor) - (factor - 1); hasShownError = false; } static void AiFinished (string aiName) { Program.mainForm.SetProgress(100); InterpolateUtils.UpdateInterpProgress(IOUtils.GetAmountOfFiles(Interpolate.current.interpFolder, false, "*.png"), InterpolateUtils.targetFrames); string logStr = $"Done running {aiName} - Interpolation took {FormatUtils.Time(processTime.Elapsed)}"; if (Interpolate.currentlyUsingAutoEnc && AutoEncode.HasWorkToDo()) logStr += " - Waiting for encoding to finish..."; Logger.Log(logStr); processTime.Stop(); } public static async Task RunDainNcnn(string framesPath, string outPath, int targetFrames, int tilesize) { string args = $" -v -i {framesPath.Wrap()} -o {outPath.Wrap()} -n {targetFrames} -t {GetNcnnTilesize(tilesize)} -g {Config.Get("ncnnGpus")}"; string dainDir = Path.Combine(Paths.GetPkgPath(), Path.GetFileNameWithoutExtension(Packages.dainNcnn.fileName)); Process dain = OSUtils.NewProcess(!OSUtils.ShowHiddenCmd()); AiStarted(dain, 1500, Interpolate.current.interpFactor); dain.StartInfo.Arguments = $"{OSUtils.GetCmdArg()} cd /D {dainDir.Wrap()} & dain-ncnn-vulkan.exe {args} -f {InterpolateUtils.GetOutExt()} -j {GetNcnnThreads()}"; Logger.Log("Running DAIN...", false); Logger.Log("cmd.exe " + dain.StartInfo.Arguments, true); if (!OSUtils.ShowHiddenCmd()) { dain.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "dain-ncnn-log"); }; dain.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "dain-ncnn-log"); }; } dain.Start(); if (!OSUtils.ShowHiddenCmd()) { dain.BeginOutputReadLine(); dain.BeginErrorReadLine(); } while (!dain.HasExited) await Task.Delay(1); if (Interpolate.canceled) return; if (!Interpolate.currentlyUsingAutoEnc) IOUtils.ZeroPadDir(outPath, InterpolateUtils.GetOutExt(), Padding.interpFrames); AiFinished("DAIN"); } public static async Task RunCainNcnnMulti (string framesPath, string outPath, int tilesize, int times) { processTimeMulti.Restart(); Logger.Log("Running CAIN...", false); string args = $" -v -i {framesPath.Wrap()} -o {outPath.Wrap()} -g {Config.Get("ncnnGpus")}"; await RunCainPartial(args); if(times == 4 || times == 8) // #2 { if (Interpolate.canceled) return; Logger.Log("Re-Running CAIN for 4x interpolation...", false); string run1ResultsPath = outPath + "-run1"; IOUtils.TryDeleteIfExists(run1ResultsPath); Directory.Move(outPath, run1ResultsPath); Directory.CreateDirectory(outPath); args = $" -v -i {run1ResultsPath.Wrap()} -o {outPath.Wrap()} -g {Config.Get("ncnnGpus")}"; await RunCainPartial(args); IOUtils.TryDeleteIfExists(run1ResultsPath); } if (times == 8) // #3 { if (Interpolate.canceled) return; Logger.Log("Re-Running CAIN for 8x interpolation...", false); string run2ResultsPath = outPath + "-run2"; IOUtils.TryDeleteIfExists(run2ResultsPath); Directory.Move(outPath, run2ResultsPath); Directory.CreateDirectory(outPath); args = $" -v -i {run2ResultsPath.Wrap()} -o {outPath.Wrap()} -g {Config.Get("ncnnGpus")}"; await RunCainPartial(args); IOUtils.TryDeleteIfExists(run2ResultsPath); } if (Interpolate.canceled) return; if (!Interpolate.currentlyUsingAutoEnc) IOUtils.ZeroPadDir(outPath, InterpolateUtils.GetOutExt(), Padding.interpFrames); AiFinished("CAIN"); } static async Task RunCainPartial (string args) { string cainDir = Path.Combine(Paths.GetPkgPath(), Path.GetFileNameWithoutExtension(Packages.cainNcnn.fileName)); string cainExe = "cain-ncnn-vulkan.exe"; Process cain = OSUtils.NewProcess(!OSUtils.ShowHiddenCmd()); AiStarted(cain, 1500, 2); cain.StartInfo.Arguments = $"{OSUtils.GetCmdArg()} cd /D {cainDir.Wrap()} & {cainExe} {args} -f {InterpolateUtils.GetOutExt()} -j {GetNcnnThreads()}"; Logger.Log("cmd.exe " + cain.StartInfo.Arguments, true); if (!OSUtils.ShowHiddenCmd()) { cain.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "cain-ncnn-log"); }; cain.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "cain-ncnn-log"); }; } cain.Start(); if (!OSUtils.ShowHiddenCmd()) { cain.BeginOutputReadLine(); cain.BeginErrorReadLine(); } while (!cain.HasExited) await Task.Delay(1); } public static async Task RunRifeCuda(string framesPath, int interpFactor) { string rifeDir = Path.Combine(Paths.GetPkgPath(), Path.GetFileNameWithoutExtension(Packages.rifeCuda.fileName)); string script = "inference_video.py"; bool uhd = InterpolateUtils.GetOutputResolution(Interpolate.current.inPath, false).Height >= Config.GetInt("uhdThresh"); string uhdStr = uhd ? "--UHD" : ""; string args = $" --img {framesPath.Wrap()} --exp {(int)Math.Log(interpFactor, 2)} {uhdStr} --imgformat {InterpolateUtils.GetOutExt()} --output {Paths.interpDir}"; if (!File.Exists(Path.Combine(rifeDir, script))) { Interpolate.Cancel("RIFE script not found! Make sure you didn't modify any files."); return; } Process rifePy = OSUtils.NewProcess(!OSUtils.ShowHiddenCmd()); AiStarted(rifePy, 3500, Interpolate.current.interpFactor); rifePy.StartInfo.Arguments = $"{OSUtils.GetCmdArg()} cd /D {PkgUtils.GetPkgFolder(Packages.rifeCuda).Wrap()} & " + $"set CUDA_VISIBLE_DEVICES={Config.Get("torchGpus")} & {Python.GetPyCmd()} {script} {args}"; Logger.Log($"Running RIFE {(uhd ? "(UHD Mode)" : "")} ({script})...".TrimWhitespaces(), false); Logger.Log("cmd.exe " + rifePy.StartInfo.Arguments, true); if (!OSUtils.ShowHiddenCmd()) { rifePy.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "rife-cuda-log"); }; rifePy.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "rife-cuda-log"); }; } rifePy.Start(); if (!OSUtils.ShowHiddenCmd()) { rifePy.BeginOutputReadLine(); rifePy.BeginErrorReadLine(); } while (!rifePy.HasExited) await Task.Delay(1); AiFinished("RIFE"); } public static async Task RunRifeNcnnMulti(string framesPath, string outPath, int tilesize, int times) { processTimeMulti.Restart(); Logger.Log("Running RIFE...", false); bool useAutoEnc = Interpolate.currentlyUsingAutoEnc; if(times > 2) AutoEncode.paused = true; // Disable autoenc until the last iteration await RunRifePartial(framesPath, outPath); if (times == 4 || times == 8) // #2 { if (Interpolate.canceled) return; Logger.Log("Re-Running RIFE for 4x interpolation...", false); string run1ResultsPath = outPath + "-run1"; IOUtils.TryDeleteIfExists(run1ResultsPath); Directory.Move(outPath, run1ResultsPath); Directory.CreateDirectory(outPath); if (useAutoEnc && times == 4) AutoEncode.paused = false; await RunRifePartial(run1ResultsPath, outPath); IOUtils.TryDeleteIfExists(run1ResultsPath); } if (times == 8) // #3 { if (Interpolate.canceled) return; Logger.Log("Re-Running RIFE for 8x interpolation...", false); string run2ResultsPath = outPath + "-run2"; IOUtils.TryDeleteIfExists(run2ResultsPath); Directory.Move(outPath, run2ResultsPath); Directory.CreateDirectory(outPath); if (useAutoEnc && times == 8) AutoEncode.paused = false; await RunRifePartial(run2ResultsPath, outPath); IOUtils.TryDeleteIfExists(run2ResultsPath); } if (Interpolate.canceled) return; if (!Interpolate.currentlyUsingAutoEnc) IOUtils.ZeroPadDir(outPath, InterpolateUtils.GetOutExt(), Padding.interpFrames); AiFinished("RIFE"); } static async Task RunRifePartial(string inPath, string outPath) { Process rifeNcnn = OSUtils.NewProcess(!OSUtils.ShowHiddenCmd()); AiStarted(rifeNcnn, 1500, 2, inPath); rifeNcnn.StartInfo.Arguments = $"{OSUtils.GetCmdArg()} cd /D {PkgUtils.GetPkgFolder(Packages.rifeNcnn).Wrap()} & rife-ncnn-vulkan.exe " + $" -v -i {inPath.Wrap()} -o {outPath.Wrap()} -g {Config.Get("ncnnGpus")} -f {InterpolateUtils.GetOutExt()} -j {GetNcnnThreads()}"; Logger.Log("cmd.exe " + rifeNcnn.StartInfo.Arguments, true); if (!OSUtils.ShowHiddenCmd()) { rifeNcnn.OutputDataReceived += (sender, outLine) => { LogOutput("[O] " + outLine.Data, "rife-ncnn-log"); }; rifeNcnn.ErrorDataReceived += (sender, outLine) => { LogOutput("[E] " + outLine.Data, "rife-ncnn-log"); }; } rifeNcnn.Start(); if (!OSUtils.ShowHiddenCmd()) { rifeNcnn.BeginOutputReadLine(); rifeNcnn.BeginErrorReadLine(); } while (!rifeNcnn.HasExited) await Task.Delay(1); } static void LogOutput (string line, string logFilename) { if (string.IsNullOrWhiteSpace(line) || line.Length < 6) return; Logger.LogToFile(line, false, logFilename); if (line.Contains("ff:nocuda-cpu")) Logger.Log("WARNING: CUDA-capable GPU device is not available, running on CPU instead!"); if (!hasShownError && line.ToLower().Contains("out of memory")) { hasShownError = true; InterpolateUtils.ShowMessage($"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}", "Error"); } if (!hasShownError && line.ToLower().Contains("modulenotfounderror")) { hasShownError = true; InterpolateUtils.ShowMessage($"A python module is missing.\nCheck {logFilename} for details.\n\n{line}\n\nIf you don't want to install it yourself, use the Python package from the Package Installer.", "Error"); if(!Python.HasEmbeddedPyFolder()) Process.Start("https://github.com/n00mkrad/flowframes/blob/main/PythonDependencies.md"); } if (!hasShownError && line.ToLower().Contains("no longer supports this gpu")) { hasShownError = true; InterpolateUtils.ShowMessage($"Your GPU seems to be outdated and is not supported!\n\n{line}", "Error"); } if (!hasShownError && (line.Contains("RuntimeError") || line.Contains("ImportError") || line.Contains("OSError"))) { hasShownError = true; InterpolateUtils.ShowMessage($"A python error occured during interpolation!\nCheck {logFilename} for details.\n\n{line}", "Error"); } if (!hasShownError && (line.Contains("vkQueueSubmit failed") || line.Contains("vkAllocateMemory failed"))) { hasShownError = true; InterpolateUtils.ShowMessage($"A Vulkan error occured during interpolation!\n\n{line}", "Error"); } if (!hasShownError && line.Contains("invalid gpu device")) { hasShownError = true; InterpolateUtils.ShowMessage($"A Vulkan error occured during interpolation!\n\n{line}\n\nAre your GPU IDs set correctly?", "Error"); } if (hasShownError) Interpolate.Cancel(); } static string GetNcnnTilesize(int tilesize) { int gpusAmount = Config.Get("ncnnGpus").Split(',').Length; string tilesizeStr = $"{tilesize}"; for (int i = 1; i < gpusAmount; i++) tilesizeStr += $",{tilesize}"; return tilesizeStr; } static string GetNcnnThreads () { int gpusAmount = Config.Get("ncnnGpus").Split(',').Length; int procThreads = Config.GetInt("ncnnThreads"); string progThreadsStr = $"{procThreads}"; for (int i = 1; i < gpusAmount; i++) progThreadsStr += $",{procThreads}"; return $"4:{progThreadsStr}:4"; ; } } }