feat: Add face encoder settings including GPU support, parallelism, and thumbnail options

Catalog.code-workspace

@@ -5,6 +5,9 @@
 		},
 		{
 			"path": "../AIFotoONLUS"
+		},
+		{
+			"path": "../../various/regalamiunsorriso"
 		}
 	],
 	"settings": {

MaddoShared.Tests/DataModelCharacterizationTests.cs

@@ -1,4 +1,5 @@
 using System;
+using System.IO;
 using System.Threading.Tasks;
 using ImageCatalog_2;
 using ImageCatalog_2.Services;
@@ -134,6 +135,61 @@ public class DataModelCharacterizationTests
         model.FontSize.ShouldBe(42);
     }
 
+    [TestMethod]
+    public void FaceExecutableFolder_EnablesGpuToggleWhenBothVariantsExist()
+    {
+        using var root = new TemporaryDirectory();
+        CreateFaceEncoderExecutable(root.Path, "cpu");
+        CreateFaceEncoderExecutable(root.Path, "gpu");
+
+        var model = CreateModel();
+
+        model.FaceExecutablePath = root.Path;
+
+        model.FaceGpuOptionEnabled.ShouldBeTrue();
+        model.UseFaceGpu.ShouldBeFalse();
+    }
+
+    [TestMethod]
+    public void UseFaceGpu_UpdatesUpsampleWhenUsingRecommendedDefault()
+    {
+        using var root = new TemporaryDirectory();
+        CreateFaceEncoderExecutable(root.Path, "cpu");
+        CreateFaceEncoderExecutable(root.Path, "gpu");
+
+        var model = CreateModel();
+        model.FaceExecutablePath = root.Path;
+        model.FaceUpsample.ShouldBeTrue();
+
+        model.UseFaceGpu = true;
+
+        model.FaceUpsample.ShouldBeFalse();
+    }
+
+    [TestMethod]
+    public void ResolveConfiguredFaceEncoderExecutablePath_UsesFolderLayoutFromPowerShellScript()
+    {
+        using var root = new TemporaryDirectory();
+        var cpuExecutable = CreateFaceEncoderExecutable(root.Path, "cpu");
+        var gpuExecutable = CreateFaceEncoderExecutable(root.Path, "gpu");
+
+        DataModel.ResolveConfiguredFaceEncoderExecutablePath(root.Path, useGpu: false).ShouldBe(cpuExecutable);
+        DataModel.ResolveConfiguredFaceEncoderExecutablePath(root.Path, useGpu: true).ShouldBe(gpuExecutable);
+    }
+
+    [TestMethod]
+    public void BuildFaceEncoderOutputPaths_UsesTimestampAndSanitizedFolderName()
+    {
+        var timestamp = new DateTime(2026, 5, 9, 14, 30, 45);
+        var output = DataModel.BuildFaceEncoderOutputPaths(
+            @"C:\out",
+            @"C:\images\04 APRILE: gara?",
+            timestamp);
+
+        output.OutputFilePath.ShouldBe(@"C:\out\face_encodings_20260509_143045_04_APRILE_gara.pkl");
+        output.LogFilePath.ShouldBe(@"C:\out\encoder_log_20260509_143045_04_APRILE_gara.txt");
+    }
+
     private static DataModel CreateModel(
         ISettingsService? settingsService = null,
         ITestService? testService = null)
@@ -169,4 +225,33 @@ public class DataModelCharacterizationTests
             Substitute.For<ILogger<DataModel>>(),
             versionProvider: null);
     }
+
+    private static string CreateFaceEncoderExecutable(string rootPath, string variant)
+    {
+        var variantDirectory = Path.Combine(rootPath, $"face_encoder_{variant}");
+        Directory.CreateDirectory(variantDirectory);
+
+        var executablePath = Path.Combine(variantDirectory, $"face_encoder_{variant}.exe");
+        File.WriteAllText(executablePath, "stub");
+        return executablePath;
+    }
+
+    private sealed class TemporaryDirectory : IDisposable
+    {
+        public TemporaryDirectory()
+        {
+            Path = System.IO.Path.Combine(System.IO.Path.GetTempPath(), System.IO.Path.GetRandomFileName());
+            Directory.CreateDirectory(Path);
+        }
+
+        public string Path { get; }
+
+        public void Dispose()
+        {
+            if (Directory.Exists(Path))
+            {
+                Directory.Delete(Path, recursive: true);
+            }
+        }
+    }
 }

imagecatalog/AvaloniaViews/FaceAiTabView.axaml

@@ -5,16 +5,16 @@
     <ScrollViewer>
         <StackPanel Margin="4" Spacing="6">
             <TextBlock Text="Face Recognition Encoder" FontWeight="Bold" />
-            <TextBlock Text="Esegue il face encoder usando la cartella Destinazione corrente come --images e un file .pkl come --out."
+            <TextBlock Text="Esegue il face encoder usando la cartella Destinazione corrente come --images e genera automaticamente file .pkl e log nella cartella di output scelta."
                        TextWrapping="Wrap" Opacity="0.8" />
 
-            <TextBlock Text="Eseguibile" FontWeight="Bold" Margin="0,4,0,0" />
+            <TextBlock Text="Cartella Face Encoder" FontWeight="Bold" Margin="0,4,0,0" />
             <Grid ColumnDefinitions="Auto,*,Auto,Auto" ColumnSpacing="6">
-                <TextBlock Grid.Column="0" Text="face_encoder:" VerticalAlignment="Center" />
+                <TextBlock Grid.Column="0" Text="Percorso:" VerticalAlignment="Center" />
-                <TextBox Grid.Column="1" Name="FaceExecutablePathTextBox" Text="{Binding FaceExecutablePath, Mode=TwoWay}" Watermark="C:\\tools\\face_encoder_cpu.exe" />
+                <TextBox Grid.Column="1" Name="FaceExecutablePathTextBox" Text="{Binding FaceExecutablePath, Mode=TwoWay}" Watermark="C:\tools\Face_Recognition_Windows" />
                 <Button Grid.Column="2" Name="FaceSelectExecutableButton" Click="SelectFaceExecutable_Click" Width="104" Margin="6,0,0,0">
                     <StackPanel Orientation="Horizontal" HorizontalAlignment="Center" Spacing="6">
-                        <iconPacks:PackIconMaterial Kind="FileOutline" Width="14" Height="14" />
+                        <iconPacks:PackIconMaterial Kind="FolderOutline" Width="14" Height="14" />
                         <TextBlock Text="Scegli..." />
                     </StackPanel>
                 </Button>
@@ -28,14 +28,24 @@
 
             <StackPanel Orientation="Horizontal" Spacing="12">
                 <CheckBox Content="Ricorsivo (--recursive)" IsChecked="{Binding FaceRecursive, Mode=TwoWay}" />
+                <CheckBox Content="Includi thumbnail (--include-tn)" IsChecked="{Binding FaceIncludeThumbnails, Mode=TwoWay}" />
+                <CheckBox Content="Upsample (--upsample)" IsChecked="{Binding FaceUpsample, Mode=TwoWay}" />
                 <CheckBox Content="Usa GPU"
                           IsChecked="{Binding UseFaceGpu, Mode=TwoWay}"
                           IsEnabled="{Binding FaceGpuOptionEnabled}" />
             </StackPanel>
-            <TextBlock Text="Se l'eseguibile termina con _cpu o _gpu, il checkbox GPU cambia automaticamente il file usato. Se non c'e il suffisso, viene trattato come CPU."
+            <TextBlock Text="Seleziona la cartella base di Face Recognition Windows: l'app sceglie automaticamente face_encoder_cpu.exe o face_encoder_gpu.exe in base al checkbox GPU."
                        TextWrapping="Wrap"
                        Opacity="0.75" />
 
+            <Grid ColumnDefinitions="Auto,120,Auto,120,*" ColumnSpacing="6">
+                <TextBlock Grid.Column="0" Text="Parallelismo:" VerticalAlignment="Center" />
+                <ComboBox Grid.Column="1" ItemsSource="{Binding FaceParallelismOptions}" SelectedItem="{Binding FaceParallelism, Mode=TwoWay}" />
+                <TextBlock Grid.Column="2" Text="Min size:" VerticalAlignment="Center" />
+                <TextBox Grid.Column="3" Text="{Binding FaceMinSize, Mode=TwoWay}" Watermark="35" />
+                <TextBlock Grid.Column="4" Text="Usa --multicore in CPU e --multiprocess in GPU." VerticalAlignment="Center" Opacity="0.75" />
+            </Grid>
+
             <Grid ColumnDefinitions="Auto,*,Auto,Auto" ColumnSpacing="6">
                 <TextBlock Grid.Column="0" Text="Sorgente:" VerticalAlignment="Center" />
                 <TextBox Grid.Column="1" Name="FaceDestinationPathTextBox" Text="{Binding DestinationPath, Mode=OneWay}" IsReadOnly="True" />
@@ -49,11 +59,11 @@
 
             <TextBlock Text="Output encodings" FontWeight="Bold" Margin="0,4,0,0" />
             <Grid ColumnDefinitions="Auto,*,Auto,Auto" ColumnSpacing="6">
-                <TextBlock Grid.Column="0" Text="File out (.pkl):" VerticalAlignment="Center" />
+                <TextBlock Grid.Column="0" Text="Cartella out:" VerticalAlignment="Center" />
-                <TextBox Grid.Column="1" Name="FaceOutputFolderTextBox" Text="{Binding FaceOutputFolderPath, Mode=TwoWay}" Watermark="C:\\output\\encodings.pkl" />
+                <TextBox Grid.Column="1" Name="FaceOutputFolderTextBox" Text="{Binding FaceOutputFolderPath, Mode=TwoWay}" Watermark="C:\output\face_encoder" />
-                <Button Grid.Column="2" Name="FaceSelectOutputButton" Click="SelectFaceOutputFile_Click" Width="104" Margin="6,0,0,0">
+                <Button Grid.Column="2" Name="FaceSelectOutputButton" Click="SelectFaceOutputFolder_Click" Width="104" Margin="6,0,0,0">
                     <StackPanel Orientation="Horizontal" HorizontalAlignment="Center" Spacing="6">
-                        <iconPacks:PackIconMaterial Kind="FileOutline" Width="14" Height="14" />
+                        <iconPacks:PackIconMaterial Kind="FolderOutline" Width="14" Height="14" />
                         <TextBlock Text="Scegli..." />
                     </StackPanel>
                 </Button>
@@ -64,9 +74,22 @@
                     </StackPanel>
                 </Button>
             </Grid>
+            <TextBlock Text="I file vengono creati come face_encodings_yyyyMMdd_HHmmss_nomecartella.pkl e encoder_log_yyyyMMdd_HHmmss_nomecartella.txt."
+                       TextWrapping="Wrap"
+                       Opacity="0.75" />
 
             <StackPanel Orientation="Horizontal" Spacing="6" Margin="0,6,0,0">
-                <Button Name="FaceRunButton" Content="Esegui Face Encoder" Command="{Binding StartFaceEncoderCommand}" />
+                <Button Name="FaceRunButton" Command="{Binding StartFaceEncoderCommand}">
+                    <StackPanel Orientation="Horizontal" Spacing="8" VerticalAlignment="Center">
+                        <ProgressBar Width="18"
+                                     Height="18"
+                                     IsIndeterminate="True"
+                                     IsVisible="{Binding IsFaceEncoderRunning}"
+                                     ShowProgressText="False"
+                                     VerticalAlignment="Center" />
+                        <TextBlock Text="Esegui Face Encoder" VerticalAlignment="Center" />
+                    </StackPanel>
+                </Button>
                 <Button Content="Stop" Command="{Binding StopFaceEncoderCommand}" />
                 <TextBlock VerticalAlignment="Center" Text="{Binding FaceStatusMessage}" />
             </StackPanel>
@@ -77,7 +100,10 @@
                      IsReadOnly="True"
                      AcceptsReturn="True"
                      TextWrapping="Wrap"
-                     MinHeight="180" />
+                     FontFamily="Cascadia Mono, Consolas, monospace"
+                     Height="220"
+                     ScrollViewer.VerticalScrollBarVisibility="Auto"
+                     ScrollViewer.HorizontalScrollBarVisibility="Auto" />
         </StackPanel>
     </ScrollViewer>
 </UserControl>

imagecatalog/AvaloniaViews/FaceAiTabView.axaml.cs

@@ -1,7 +1,9 @@
 using Avalonia.Controls;
 using Avalonia.Interactivity;
 using Avalonia.Platform.Storage;
+using Avalonia.Threading;
 using System;
+using System.ComponentModel;
 using System.Diagnostics;
 using System.IO;
 
@@ -9,9 +11,46 @@ namespace ImageCatalog_2.AvaloniaViews;
 
 public partial class FaceAiTabView : Avalonia.Controls.UserControl
 {
+    private INotifyPropertyChanged? _faceAiPropertySource;
+
     public FaceAiTabView()
     {
         InitializeComponent();
+        DataContextChanged += OnDataContextChanged;
+    }
+
+    private void OnDataContextChanged(object? sender, EventArgs e)
+    {
+        if (_faceAiPropertySource is not null)
+        {
+            _faceAiPropertySource.PropertyChanged -= OnFaceAiPropertyChanged;
+        }
+
+        _faceAiPropertySource = DataContext as INotifyPropertyChanged;
+        if (_faceAiPropertySource is not null)
+        {
+            _faceAiPropertySource.PropertyChanged += OnFaceAiPropertyChanged;
+        }
+    }
+
+    private void OnFaceAiPropertyChanged(object? sender, PropertyChangedEventArgs e)
+    {
+        if (!string.Equals(e.PropertyName, nameof(DataModel.FaceCommandOutput), StringComparison.Ordinal))
+        {
+            return;
+        }
+
+        var outputBox = this.FindControl<Avalonia.Controls.TextBox>("FaceOutputTextBox");
+        if (outputBox is null)
+        {
+            return;
+        }
+
+        Dispatcher.UIThread.Post(() =>
+        {
+            var textLength = outputBox.Text?.Length ?? 0;
+            outputBox.CaretIndex = textLength;
+        });
     }
 
     private async void SelectFaceExecutable_Click(object? sender, RoutedEventArgs e)
@@ -29,19 +68,14 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
             return;
         }
 
-        var files = await storageProvider.OpenFilePickerAsync(new FilePickerOpenOptions
+        var folders = await storageProvider.OpenFolderPickerAsync(new FolderPickerOpenOptions
         {
-            Title = "Seleziona face_encoder_cpu.exe o face_encoder_gpu.exe",
+            Title = "Seleziona la cartella Face Recognition Windows"
-            FileTypeFilter =
-            [
-                new FilePickerFileType("Eseguibile") { Patterns = ["*.exe"] },
-                new FilePickerFileType("Tutti i file") { Patterns = ["*.*"] }
-            ]
         });
 
-        if (files.Count > 0)
+        if (folders.Count > 0)
         {
-            executableBox.Text = files[0].Path.LocalPath;
+            executableBox.Text = folders[0].Path.LocalPath;
             if (DataContext is DataModel model)
             {
                 model.FaceExecutablePath = executableBox.Text;
@@ -49,7 +83,7 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
         }
     }
 
-    private async void SelectFaceOutputFile_Click(object? sender, RoutedEventArgs e)
+    private async void SelectFaceOutputFolder_Click(object? sender, RoutedEventArgs e)
     {
         var outputBox = this.FindControl<Avalonia.Controls.TextBox>("FaceOutputFolderTextBox");
         if (outputBox is null)
@@ -64,21 +98,14 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
             return;
         }
 
-        var files = await storageProvider.SaveFilePickerAsync(new FilePickerSaveOptions
+        var folders = await storageProvider.OpenFolderPickerAsync(new FolderPickerOpenOptions
         {
-            Title = "Seleziona file output encodings (.pkl)",
+            Title = "Seleziona la cartella output per encodings e log"
-            SuggestedFileName = "encodings.pkl",
-            DefaultExtension = "pkl",
-            FileTypeChoices =
-            [
-                new FilePickerFileType("Pickle file") { Patterns = ["*.pkl"] }
-            ],
-            ShowOverwritePrompt = true
         });
 
-        if (files is not null)
+        if (folders.Count > 0)
         {
-            outputBox.Text = files.Path.LocalPath;
+            outputBox.Text = folders[0].Path.LocalPath;
             if (DataContext is DataModel model)
             {
                 model.FaceOutputFolderPath = outputBox.Text;
@@ -100,6 +127,12 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
             return;
         }
 
+        if (Directory.Exists(path))
+        {
+            OpenInExplorer(path);
+            return;
+        }
+
         if (File.Exists(path))
         {
             OpenInExplorer(path);
@@ -124,6 +157,12 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
             return;
         }
 
+        if (Directory.Exists(outputPath))
+        {
+            OpenInExplorer(outputPath);
+            return;
+        }
+
         if (File.Exists(outputPath))
         {
             OpenInExplorer(outputPath);
@@ -148,6 +187,12 @@ public partial class FaceAiTabView : Avalonia.Controls.UserControl
             return;
         }
 
+        if (Directory.Exists(path))
+        {
+            OpenInExplorer(path);
+            return;
+        }
+
         var directory = Path.GetDirectoryName(path);
         OpenInExplorer(string.IsNullOrWhiteSpace(directory) ? path : directory);
     }

imagecatalog/DataModel.cs

@@ -60,8 +60,9 @@ namespace ImageCatalog_2
         private Process? _faceEncoderProcess;
         private CancellationTokenSource? _faceEncoderWatcherTokenSource;
         private Task? _faceEncoderWatcherTask;
+        private CancellationTokenSource? _faceEncoderLogWatcherTokenSource;
+        private Task? _faceEncoderLogWatcherTask;
         private bool _hasStartedFaceEncoderInSession;
-        private bool _isUpdatingFaceExecutableSelection;
 
         // ComboBox collections
         public List<string> AvailableFonts { get; }
@@ -230,6 +231,32 @@ namespace ImageCatalog_2
             set => _ai.FaceRecursive = value;
         }
 
+        public bool FaceIncludeThumbnails
+        {
+            get => _ai.FaceIncludeThumbnails;
+            set => _ai.FaceIncludeThumbnails = value;
+        }
+
+        public IReadOnlyList<int> FaceParallelismOptions { get; } = [1, 2, 3, 4, 5];
+
+        public int FaceParallelism
+        {
+            get => _ai.FaceParallelism;
+            set => _ai.FaceParallelism = value;
+        }
+
+        public int FaceMinSize
+        {
+            get => _ai.FaceMinSize;
+            set => _ai.FaceMinSize = value;
+        }
+
+        public bool FaceUpsample
+        {
+            get => _ai.FaceUpsample;
+            set => _ai.FaceUpsample = value;
+        }
+
         public bool FaceGpuOptionEnabled => _ai.FaceGpuOptionEnabled;
 
         public bool UseFaceGpu
@@ -1415,13 +1442,22 @@ namespace ImageCatalog_2
                 return;
             }
 
-            var executablePath = NormalizeFilePathArgument(FaceExecutablePath);
+            var executableRootPath = NormalizeFilePathArgument(FaceExecutablePath);
-            var outputFilePath = NormalizeFilePathArgument(FaceOutputFolderPath);
+            var outputFolderPath = NormalizeDirectoryPathArgument(FaceOutputFolderPath);
             var imagesFolder = NormalizeDirectoryPathArgument(DestinationPath);
+            var executablePath = ResolveConfiguredFaceEncoderExecutablePath(executableRootPath, UseFaceGpu);
+
+            if (string.IsNullOrWhiteSpace(executableRootPath))
+            {
+                FaceStatusMessage = "Percorso cartella face encoder non valido.";
+                return;
+            }
 
             if (string.IsNullOrWhiteSpace(executablePath) || !File.Exists(executablePath))
             {
-                FaceStatusMessage = "Percorso eseguibile non valido.";
+                FaceStatusMessage = UseFaceGpu
+                    ? "Impossibile trovare face_encoder_gpu.exe nella cartella selezionata."
+                    : "Impossibile trovare face_encoder_cpu.exe nella cartella selezionata.";
                 return;
             }
 
@@ -1431,38 +1467,33 @@ namespace ImageCatalog_2
                 return;
             }
 
-            if (string.IsNullOrWhiteSpace(outputFilePath))
+            if (string.IsNullOrWhiteSpace(outputFolderPath))
             {
-                FaceStatusMessage = "Inserisci il file di output .pkl.";
+                FaceStatusMessage = "Inserisci la cartella di output per encodings e log.";
-                return;
-            }
-
-            if (!string.Equals(Path.GetExtension(outputFilePath), ".pkl", StringComparison.OrdinalIgnoreCase))
-            {
-                FaceStatusMessage = "Il file di output deve avere estensione .pkl.";
                 return;
             }
 
             try
             {
-                var outputDirectory = Path.GetDirectoryName(outputFilePath);
+                Directory.CreateDirectory(outputFolderPath);
-                if (!string.IsNullOrWhiteSpace(outputDirectory))
-                {
-                    Directory.CreateDirectory(outputDirectory);
-                }
             }
             catch (Exception ex)
             {
-                _logger.LogError(ex, "Unable to create face output directory for file: {OutputFilePath}", outputFilePath);
+                _logger.LogError(ex, "Unable to create face output directory: {OutputFolderPath}", outputFolderPath);
-                FaceStatusMessage = "Impossibile creare la cartella del file di output.";
+                FaceStatusMessage = "Impossibile creare la cartella di output.";
                 return;
             }
 
-            FaceExecutablePath = executablePath;
+            var parallelism = NormalizeFaceParallelism(FaceParallelism);
-            FaceOutputFolderPath = outputFilePath;
+            var minSize = NormalizeFaceMinSize(FaceMinSize);
+            var outputFiles = BuildFaceEncoderOutputPaths(outputFolderPath, imagesFolder, DateTime.Now);
+
+            FaceExecutablePath = executableRootPath;
+            FaceOutputFolderPath = outputFolderPath;
             FaceCommandOutput = string.Empty;
             FaceStatusMessage = "Esecuzione face encoder in corso...";
 
+            var transcriptLines = new StringBuilder();
             var outputLines = new StringBuilder();
             var errorLines = new StringBuilder();
 
@@ -1475,23 +1506,50 @@ namespace ImageCatalog_2
                     UseShellExecute = false,
                     RedirectStandardOutput = true,
                     RedirectStandardError = true,
-                    RedirectStandardInput = true,
+                    RedirectStandardInput = false,
                     CreateNoWindow = false,
                 };
 
                 processStartInfo.ArgumentList.Add("--images");
                 processStartInfo.ArgumentList.Add(imagesFolder);
                 processStartInfo.ArgumentList.Add("--out");
-                processStartInfo.ArgumentList.Add(outputFilePath);
+                processStartInfo.ArgumentList.Add(outputFiles.OutputFilePath);
+                processStartInfo.ArgumentList.Add("--log");
+                processStartInfo.ArgumentList.Add(outputFiles.LogFilePath);
 
                 if (FaceRecursive)
                 {
                     processStartInfo.ArgumentList.Add("--recursive");
                 }
 
+                if (FaceIncludeThumbnails)
+                {
+                    processStartInfo.ArgumentList.Add("--include-tn");
+                }
+
+                processStartInfo.ArgumentList.Add(UseFaceGpu ? "--multiprocess" : "--multicore");
+                processStartInfo.ArgumentList.Add(parallelism.ToString());
+                processStartInfo.ArgumentList.Add("--min-size");
+                processStartInfo.ArgumentList.Add(minSize.ToString());
+
+                if (FaceUpsample)
+                {
+                    processStartInfo.ArgumentList.Add("--upsample");
+                }
+
                 using var process = new Process { StartInfo = processStartInfo, EnableRaisingEvents = true };
-                process.OutputDataReceived += (_, args) => AppendFaceProcessOutput(outputLines, args.Data);
+                process.OutputDataReceived += (_, args) => AppendFaceProcessOutput(outputLines, transcriptLines, args.Data, isError: false);
-                process.ErrorDataReceived += (_, args) => AppendFaceProcessOutput(errorLines, args.Data);
+                process.ErrorDataReceived += (_, args) => AppendFaceProcessOutput(errorLines, transcriptLines, args.Data, isError: true);
+                process.Exited += (_, _) =>
+                {
+                    _ = InvokeOnUiThreadAsync(() =>
+                    {
+                        if (!ComputeIsFaceEncoderRunning())
+                        {
+                            IsFaceEncoderRunning = false;
+                        }
+                    });
+                };
 
                 if (!process.Start())
                 {
@@ -1503,14 +1561,21 @@ namespace ImageCatalog_2
                 TrackFaceEncoderProcess(process);
                 await InvokeOnUiThreadAsync(() => IsFaceEncoderRunning = true).ConfigureAwait(false);
 
+                if (UseFaceGpu)
+                {
+                    StartFaceEncoderLogWatcher(outputFiles.LogFilePath, outputLines, transcriptLines);
+                }
+
                 process.BeginOutputReadLine();
                 process.BeginErrorReadLine();
                 await process.WaitForExitAsync().ConfigureAwait(false);
 
-                var summary = BuildFaceEncoderSummary(process.ExitCode, outputLines, errorLines);
+                var summary = BuildFaceEncoderSummary(process.ExitCode, processStartInfo, outputFiles.OutputFilePath, outputFiles.LogFilePath, outputLines, errorLines);
                 await InvokeOnUiThreadAsync(() =>
                 {
-                    FaceCommandOutput = summary;
+                    FaceCommandOutput = string.IsNullOrWhiteSpace(FaceCommandOutput)
+                        ? summary
+                        : $"{FaceCommandOutput.TrimEnd()}\n\n{summary}";
                     FaceStatusMessage = process.ExitCode == 0
                         ? "Face encoder completato."
                         : $"Face encoder terminato con errore (code {process.ExitCode}).";
@@ -1518,6 +1583,7 @@ namespace ImageCatalog_2
             }
             catch (Exception ex)
             {
+                Console.Error.WriteLine(ex);
                 _logger.LogError(ex, "Face encoder execution failed.");
                 await InvokeOnUiThreadAsync(() =>
                 {
@@ -1527,6 +1593,7 @@ namespace ImageCatalog_2
             }
             finally
             {
+                await StopFaceEncoderLogWatcherAsync().ConfigureAwait(false);
                 ClearTrackedFaceEncoderProcess();
                 await InvokeOnUiThreadAsync(() => IsFaceEncoderRunning = ComputeIsFaceEncoderRunning()).ConfigureAwait(false);
             }
@@ -1569,81 +1636,127 @@ namespace ImageCatalog_2
             _faceEncoderWatcherTask = WatchFaceEncoderProcessAsync(_faceEncoderWatcherTokenSource.Token);
         }
 
-        private void RefreshFaceExecutableCapabilities()
+        private void StartFaceEncoderLogWatcher(string logFilePath, StringBuilder outputLines, StringBuilder transcriptLines)
         {
-            if (_isUpdatingFaceExecutableSelection)
+            _faceEncoderLogWatcherTokenSource?.Cancel();
+            _faceEncoderLogWatcherTokenSource?.Dispose();
+
+            _faceEncoderLogWatcherTokenSource = new CancellationTokenSource();
+            _faceEncoderLogWatcherTask = WatchFaceEncoderLogFileAsync(logFilePath, outputLines, transcriptLines, _faceEncoderLogWatcherTokenSource.Token);
+        }
+
+        private async Task StopFaceEncoderLogWatcherAsync()
+        {
+            var tokenSource = _faceEncoderLogWatcherTokenSource;
+            var task = _faceEncoderLogWatcherTask;
+
+            _faceEncoderLogWatcherTokenSource = null;
+            _faceEncoderLogWatcherTask = null;
+
+            if (tokenSource is null)
             {
                 return;
             }
 
-            var executableName = Path.GetFileNameWithoutExtension(NormalizeFilePathArgument(_ai.FaceExecutablePath));
+            try
-            var supportsGpu = executableName.EndsWith("_cpu", StringComparison.OrdinalIgnoreCase)
+            {
-                || executableName.EndsWith("_gpu", StringComparison.OrdinalIgnoreCase);
+                await tokenSource.CancelAsync().ConfigureAwait(false);
-            var useGpu = supportsGpu && executableName.EndsWith("_gpu", StringComparison.OrdinalIgnoreCase);
+                if (task is not null)
+                {
+                    await task.ConfigureAwait(false);
+                }
+            }
+            catch (OperationCanceledException)
+            {
+                // Expected when shutting down the watcher.
+            }
+            finally
+            {
+                tokenSource.Dispose();
+            }
+        }
 
-            _ai.FaceGpuOptionEnabled = supportsGpu;
+        private async Task WatchFaceEncoderLogFileAsync(string logFilePath, StringBuilder outputLines, StringBuilder transcriptLines, CancellationToken token)
-            _ai.UseFaceGpu = supportsGpu && useGpu;
+        {
+            long filePosition = 0;
+
+            while (!token.IsCancellationRequested)
+            {
+                try
+                {
+                    if (File.Exists(logFilePath))
+                    {
+                        using var stream = new FileStream(logFilePath, FileMode.Open, FileAccess.Read, FileShare.ReadWrite | FileShare.Delete);
+                        if (filePosition > stream.Length)
+                        {
+                            filePosition = 0;
+                        }
+
+                        stream.Seek(filePosition, SeekOrigin.Begin);
+                        using var reader = new StreamReader(stream);
+                        while (!reader.EndOfStream)
+                        {
+                            var line = await reader.ReadLineAsync(token).ConfigureAwait(false);
+                            AppendFaceProcessOutput(outputLines, transcriptLines, line, isError: false);
+                        }
+
+                        filePosition = stream.Position;
+                    }
+                }
+                catch (OperationCanceledException)
+                {
+                    throw;
+                }
+                catch (IOException)
+                {
+                    // Retry on the next polling interval while the encoder is still writing.
+                }
+                catch (UnauthorizedAccessException)
+                {
+                    // Retry on the next polling interval if the log file is transiently locked.
+                }
+
+                await Task.Delay(TimeSpan.FromMilliseconds(250), token).ConfigureAwait(false);
+            }
+        }
+
+        private void RefreshFaceExecutableCapabilities()
+        {
+            var executableRoot = NormalizeFilePathArgument(_ai.FaceExecutablePath);
+            var hasCpu = !string.IsNullOrWhiteSpace(ResolveConfiguredFaceEncoderExecutablePath(executableRoot, useGpu: false));
+            var hasGpu = !string.IsNullOrWhiteSpace(ResolveConfiguredFaceEncoderExecutablePath(executableRoot, useGpu: true));
+
+            _ai.FaceGpuOptionEnabled = hasCpu && hasGpu;
+
+            if (hasGpu && !hasCpu)
+            {
+                _ai.UseFaceGpu = true;
+            }
+            else if (!hasGpu)
+            {
+                _ai.UseFaceGpu = false;
+            }
         }
 
         private void SetUseFaceGpu(bool value)
         {
+            var currentValue = _ai.UseFaceGpu;
             if (!FaceGpuOptionEnabled)
             {
-                if (_ai.UseFaceGpu)
-                {
-                    _ai.UseFaceGpu = false;
-                }
-
                 return;
             }
 
-            if (_ai.UseFaceGpu == value)
+            if (currentValue == value)
             {
                 return;
             }
 
             _ai.UseFaceGpu = value;
 
-            var currentPath = NormalizeFilePathArgument(_ai.FaceExecutablePath);
+            var previousRecommendedUpsample = GetRecommendedFaceUpsample(currentValue);
-            if (string.IsNullOrWhiteSpace(currentPath))
+            if (_ai.FaceUpsample == previousRecommendedUpsample)
             {
-                return;
+                _ai.FaceUpsample = GetRecommendedFaceUpsample(value);
-            }
-
-            var extension = Path.GetExtension(currentPath);
-            var fileName = Path.GetFileNameWithoutExtension(currentPath);
-            var baseName = fileName.EndsWith("_cpu", StringComparison.OrdinalIgnoreCase)
-                ? fileName[..^4]
-                : fileName.EndsWith("_gpu", StringComparison.OrdinalIgnoreCase)
-                    ? fileName[..^4]
-                    : fileName;
-
-            if (string.Equals(baseName, fileName, StringComparison.Ordinal))
-            {
-                _ai.UseFaceGpu = false;
-                _ai.FaceGpuOptionEnabled = false;
-                return;
-            }
-
-            var updatedFileName = $"{baseName}{(value ? "_gpu" : "_cpu")}{extension}";
-            var directory = Path.GetDirectoryName(currentPath);
-            var updatedPath = string.IsNullOrWhiteSpace(directory)
-                ? updatedFileName
-                : Path.Combine(directory, updatedFileName);
-
-            if (string.Equals(updatedPath, currentPath, StringComparison.OrdinalIgnoreCase))
-            {
-                return;
-            }
-
-            _isUpdatingFaceExecutableSelection = true;
-            try
-            {
-                _ai.FaceExecutablePath = updatedPath;
-            }
-            finally
-            {
-                _isUpdatingFaceExecutableSelection = false;
             }
         }
 
@@ -1690,7 +1803,7 @@ namespace ImageCatalog_2
 
         private Process? FindConfiguredFaceEncoderProcess()
         {
-            var configuredExecutablePath = NormalizeFilePathArgument(FaceExecutablePath);
+            var configuredExecutablePath = ResolveConfiguredFaceEncoderExecutablePath(FaceExecutablePath, UseFaceGpu);
             if (string.IsNullOrWhiteSpace(configuredExecutablePath))
             {
                 return null;
@@ -1803,7 +1916,7 @@ namespace ImageCatalog_2
             }
         }
 
-        private static void AppendFaceProcessOutput(StringBuilder builder, string? line)
+        private void AppendFaceProcessOutput(StringBuilder builder, StringBuilder transcriptBuilder, string? line, bool isError)
         {
             if (string.IsNullOrWhiteSpace(line))
             {
@@ -1814,12 +1927,162 @@ namespace ImageCatalog_2
             {
                 builder.AppendLine(line);
             }
+
+            if (isError)
+            {
+                Console.Error.WriteLine(line);
+            }
+            else
+            {
+                Console.WriteLine(line);
+            }
+
+            string transcript;
+            lock (transcriptBuilder)
+            {
+                if (isError)
+                {
+                    transcriptBuilder.Append("[stderr] ");
+                }
+
+                transcriptBuilder.AppendLine(line);
+                transcript = transcriptBuilder.ToString();
+            }
+
+            _ = InvokeOnUiThreadAsync(() => FaceCommandOutput = transcript);
         }
 
-        private static string BuildFaceEncoderSummary(int exitCode, StringBuilder outputLines, StringBuilder errorLines)
+        internal static string? ResolveConfiguredFaceEncoderExecutablePath(string configuredPath, bool useGpu)
+        {
+            var variant = useGpu ? "gpu" : "cpu";
+            foreach (var candidate in EnumerateFaceEncoderExecutableCandidates(configuredPath, variant))
+            {
+                if (File.Exists(candidate))
+                {
+                    return candidate;
+                }
+            }
+
+            return null;
+        }
+
+        internal static (string OutputFilePath, string LogFilePath) BuildFaceEncoderOutputPaths(string outputFolderPath, string imagesFolderPath, DateTime timestamp)
+        {
+            var safeRaceName = BuildSafeFaceEncoderRaceName(imagesFolderPath);
+            var timestampToken = timestamp.ToString("yyyyMMdd_HHmmss");
+
+            return (
+                Path.Combine(outputFolderPath, $"face_encodings_{timestampToken}_{safeRaceName}.pkl"),
+                Path.Combine(outputFolderPath, $"encoder_log_{timestampToken}_{safeRaceName}.txt"));
+        }
+
+        internal static string BuildSafeFaceEncoderRaceName(string imagesFolderPath)
+        {
+            var raceName = new DirectoryInfo(imagesFolderPath).Name;
+            if (string.IsNullOrWhiteSpace(raceName))
+            {
+                return "race";
+            }
+
+            var invalidChars = Path.GetInvalidFileNameChars();
+            var builder = new StringBuilder(raceName.Length);
+            var previousWasSeparator = false;
+
+            foreach (var currentChar in raceName)
+            {
+                if (char.IsWhiteSpace(currentChar) || invalidChars.Contains(currentChar))
+                {
+                    if (!previousWasSeparator)
+                    {
+                        builder.Append('_');
+                        previousWasSeparator = true;
+                    }
+
+                    continue;
+                }
+
+                builder.Append(currentChar);
+                previousWasSeparator = false;
+            }
+
+            return builder.ToString().Trim('_') switch
+            {
+                "" => "race",
+                var sanitized => sanitized
+            };
+        }
+
+        private static IEnumerable<string> EnumerateFaceEncoderExecutableCandidates(string configuredPath, string variant)
+        {
+            var normalizedPath = NormalizeFilePathArgument(configuredPath);
+            if (string.IsNullOrWhiteSpace(normalizedPath))
+            {
+                yield break;
+            }
+
+            var executableName = $"face_encoder_{variant}.exe";
+
+            if (File.Exists(normalizedPath))
+            {
+                var fileDirectory = Path.GetDirectoryName(normalizedPath);
+                if (!string.IsNullOrWhiteSpace(fileDirectory))
+                {
+                    yield return Path.Combine(fileDirectory, executableName);
+
+                    var parentDirectory = Directory.GetParent(fileDirectory)?.FullName;
+                    if (!string.IsNullOrWhiteSpace(parentDirectory))
+                    {
+                        yield return Path.Combine(parentDirectory, $"face_encoder_{variant}", executableName);
+                    }
+                }
+
+                yield return normalizedPath;
+                yield break;
+            }
+
+            yield return Path.Combine(normalizedPath, executableName);
+            yield return Path.Combine(normalizedPath, $"face_encoder_{variant}", executableName);
+
+            var leafName = Path.GetFileName(normalizedPath.TrimEnd(Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar));
+            if (leafName.Equals("face_encoder_cpu", StringComparison.OrdinalIgnoreCase)
+                || leafName.Equals("face_encoder_gpu", StringComparison.OrdinalIgnoreCase))
+            {
+                var parentDirectory = Directory.GetParent(normalizedPath)?.FullName;
+                if (!string.IsNullOrWhiteSpace(parentDirectory))
+                {
+                    yield return Path.Combine(parentDirectory, $"face_encoder_{variant}", executableName);
+                }
+            }
+        }
+
+        private static int NormalizeFaceParallelism(int value)
+        {
+            return value is >= 1 and <= 5 ? value : 3;
+        }
+
+        private static int NormalizeFaceMinSize(int value)
+        {
+            return value > 0 ? value : 35;
+        }
+
+        private static bool GetRecommendedFaceUpsample(bool useGpu)
+        {
+            return !useGpu;
+        }
+
+        private static string BuildFaceEncoderSummary(
+            int exitCode,
+            ProcessStartInfo processStartInfo,
+            string outputFilePath,
+            string logFilePath,
+            StringBuilder outputLines,
+            StringBuilder errorLines)
         {
             var summary = new StringBuilder();
             summary.AppendLine($"Exit code: {exitCode}");
+            summary.AppendLine($"Command: {processStartInfo.FileName} {string.Join(" ", processStartInfo.ArgumentList)}");
+            summary.AppendLine($"Output file: {outputFilePath}");
+            summary.AppendLine($"Log file: {logFilePath}");
 
             lock (outputLines)
             {

imagecatalog/Models/SettingsDto.cs

@@ -286,6 +286,22 @@ namespace ImageCatalog_2.Models
         [XmlElement("AI_FaceRecursive")]
         public bool FaceRecursive { get; set; }
 
+        [JsonPropertyName("FaceIncludeThumbnails")]
+        [XmlElement("AI_FaceIncludeThumbnails")]
+        public bool FaceIncludeThumbnails { get; set; }
+
+        [JsonPropertyName("FaceParallelism")]
+        [XmlElement("AI_FaceParallelism")]
+        public int FaceParallelism { get; set; } = 3;
+
+        [JsonPropertyName("FaceMinSize")]
+        [XmlElement("AI_FaceMinSize")]
+        public int FaceMinSize { get; set; } = 35;
+
+        [JsonPropertyName("FaceUpsample")]
+        [XmlElement("AI_FaceUpsample")]
+        public bool FaceUpsample { get; set; } = true;
+
         // Race upload settings
         [JsonPropertyName("ApiLogin")]
         [XmlElement("RaceUpload_Login")]

imagecatalog/Program.cs

@@ -72,34 +72,8 @@ static class Program
 
     internal static bool TrySendConsoleInterrupt(int processId)
     {
-        var hadConsole = GetConsoleWindow() != IntPtr.Zero;
+        _ = processId;
-
+        return false;
-        try
-        {
-            if (hadConsole)
-            {
-                FreeConsole();
-            }
-
-            if (!AttachConsole(processId))
-            {
-                return false;
-            }
-
-            SetConsoleCtrlHandler(null, true);
-            return GenerateConsoleCtrlEvent(CTRL_C_EVENT, 0);
-        }
-        finally
-        {
-            FreeConsole();
-            SetConsoleCtrlHandler(null, false);
-
-            if (hadConsole)
-            {
-                AllocConsole();
-                RedirectConsoleOutput();
-            }
-        }
     }
 #endif
 

imagecatalog/Properties/InternalsVisibleTo.cs

@@ -0,0 +1,3 @@
+using System.Runtime.CompilerServices;
+
+[assembly: InternalsVisibleTo("MaddoShared.Tests")]

imagecatalog/ViewModels/AiSettingsViewModel.cs

@@ -71,6 +71,50 @@ public class AiSettingsViewModel : ViewModelBase
         }
     }
 
+    private bool _faceIncludeThumbnails;
+    public bool FaceIncludeThumbnails
+    {
+        get => _faceIncludeThumbnails;
+        set
+        {
+            _faceIncludeThumbnails = value;
+            NotifyPropertyChanged();
+        }
+    }
+
+    private int _faceParallelism = 3;
+    public int FaceParallelism
+    {
+        get => _faceParallelism;
+        set
+        {
+            _faceParallelism = value;
+            NotifyPropertyChanged();
+        }
+    }
+
+    private int _faceMinSize = 35;
+    public int FaceMinSize
+    {
+        get => _faceMinSize;
+        set
+        {
+            _faceMinSize = value;
+            NotifyPropertyChanged();
+        }
+    }
+
+    private bool _faceUpsample = true;
+    public bool FaceUpsample
+    {
+        get => _faceUpsample;
+        set
+        {
+            _faceUpsample = value;
+            NotifyPropertyChanged();
+        }
+    }
+
     private bool _faceGpuOptionEnabled;
     public bool FaceGpuOptionEnabled
     {