work on well of souls and yolo detection

.gitignore

@@ -18,8 +18,16 @@ config.json
 browser-data/
 *.log
 debug-screenshots/
+debug/
 items/
 
+# YOLO / ML
+runs/
+training-data/
+tools/python-detect/models/
+*.pt
+*.engine
+
 # IDE / tools
 .claude/
 nul

src/Poe2Trade.Bot/BossRunExecutor.cs

@@ -0,0 +1,529 @@
+using System.Diagnostics;
+using Poe2Trade.Core;
+using Poe2Trade.Game;
+using Poe2Trade.GameLog;
+using Poe2Trade.Inventory;
+using Poe2Trade.Screen;
+using Serilog;
+
+namespace Poe2Trade.Bot;
+
+public class BossRunExecutor
+{
+    private static readonly string WellOfSoulsTemplate = Path.Combine("assets", "well-of-souls.png");
+    private static readonly string BlackCathedralTemplate = Path.Combine("assets", "black-cathedral.png");
+    private static readonly string InvitationTemplate = Path.Combine("assets", "invitation.png");
+
+    private BossRunState _state = BossRunState.Idle;
+    private bool _stopped;
+    private readonly IGameController _game;
+    private readonly IScreenReader _screen;
+    private readonly IInventoryManager _inventory;
+    private readonly IClientLogWatcher _logWatcher;
+    private readonly SavedSettings _config;
+    private readonly BossDetector _bossDetector;
+
+    public event Action<BossRunState>? StateChanged;
+
+    public BossRunExecutor(IGameController game, IScreenReader screen,
+        IInventoryManager inventory, IClientLogWatcher logWatcher, SavedSettings config,
+        BossDetector bossDetector)
+    {
+        _game = game;
+        _screen = screen;
+        _inventory = inventory;
+        _logWatcher = logWatcher;
+        _config = config;
+        _bossDetector = bossDetector;
+    }
+
+    public BossRunState State => _state;
+
+    private void SetState(BossRunState s)
+    {
+        _state = s;
+        StateChanged?.Invoke(s);
+    }
+
+    public void Stop()
+    {
+        _stopped = true;
+        Log.Information("Boss run executor stop requested");
+    }
+
+    public async Task RunBossLoop()
+    {
+        _stopped = false;
+        _bossDetector.SetBoss("kulemak");
+        Log.Information("Starting boss run loop ({Count} invitations)", _config.Kulemak.InvitationCount);
+
+        if (!await Prepare())
+        {
+            SetState(BossRunState.Failed);
+            await RecoverToHideout();
+            SetState(BossRunState.Idle);
+            return;
+        }
+
+        var completed = 0;
+        for (var i = 0; i < _config.Kulemak.InvitationCount; i++)
+        {
+            if (_stopped) break;
+
+            Log.Information("=== Boss run {N}/{Total} ===", i + 1, _config.Kulemak.InvitationCount);
+
+            if (!await TravelToZone())
+            {
+                Log.Error("Failed to travel to zone");
+                await RecoverToHideout();
+                break;
+            }
+            if (_stopped) break;
+
+            var entrance = await WalkToEntrance();
+            if (entrance == null)
+            {
+                Log.Error("Failed to find Black Cathedral entrance");
+                await RecoverToHideout();
+                break;
+            }
+            if (_stopped) break;
+
+            if (!await UseInvitation(entrance.X, entrance.Y))
+            {
+                Log.Error("Failed to use invitation");
+                await RecoverToHideout();
+                break;
+            }
+            if (_stopped) break;
+
+            await Fight();
+            if (_stopped) break;
+
+            await Loot();
+            if (_stopped) break;
+
+            if (!await ReturnHome())
+            {
+                Log.Error("Failed to return home");
+                await RecoverToHideout();
+                break;
+            }
+            if (_stopped) break;
+
+            await StoreLoot();
+            completed++;
+
+            if (_stopped) break;
+        }
+
+        Log.Information("Boss run loop finished: {Completed}/{Total} runs completed", completed, _config.Kulemak.InvitationCount);
+        SetState(BossRunState.Complete);
+        await Helpers.Sleep(1000);
+        SetState(BossRunState.Idle);
+    }
+
+    private async Task<bool> Prepare()
+    {
+        SetState(BossRunState.Preparing);
+        Log.Information("Preparing: depositing inventory and grabbing invitations");
+
+        await _game.FocusGame();
+        await Helpers.Sleep(Delays.PostFocus);
+
+        // Open stash
+        var stashPos = await _inventory.FindAndClickNameplate("Stash");
+        if (stashPos == null)
+        {
+            Log.Error("Could not find Stash nameplate");
+            return false;
+        }
+        await Helpers.Sleep(Delays.PostStashOpen);
+
+        // Click loot tab and deposit all inventory items
+        var (lootTab, lootFolder) = ResolveTabPath(_config.Kulemak.LootTabPath);
+        if (lootTab != null)
+        {
+            await _inventory.ClickStashTab(lootTab, lootFolder);
+
+            // Deposit all inventory items via ctrl+click
+            var scanResult = await _screen.Grid.Scan("inventory");
+            if (scanResult.Occupied.Count > 0)
+            {
+                Log.Information("Depositing {Count} inventory items to loot tab", scanResult.Occupied.Count);
+                await _game.KeyDown(InputSender.VK.SHIFT);
+                await _game.HoldCtrl();
+                foreach (var cell in scanResult.Occupied)
+                {
+                    var center = _screen.Grid.GetCellCenter(GridLayouts.Inventory, cell.Row, cell.Col);
+                    await _game.LeftClickAt(center.X, center.Y);
+                    await Helpers.Sleep(Delays.ClickInterval);
+                }
+                await _game.ReleaseCtrl();
+                await _game.KeyUp(InputSender.VK.SHIFT);
+                await Helpers.Sleep(Delays.PostEscape);
+            }
+        }
+        else
+        {
+            Log.Warning("Loot tab path not configured or not found, skipping deposit");
+        }
+
+        // Click invitation tab and grab invitations
+        var (invTab, invFolder) = ResolveTabPath(_config.Kulemak.InvitationTabPath);
+        if (invTab != null)
+        {
+            await _inventory.ClickStashTab(invTab, invFolder);
+
+            // Determine layout name based on tab config
+            var layoutName = (invTab.GridCols == 24, invFolder != null) switch
+            {
+                (true, true) => "stash24_folder",
+                (true, false) => "stash24",
+                (false, true) => "stash12_folder",
+                (false, false) => "stash12",
+            };
+
+            await _inventory.GrabItemsFromStash(layoutName, _config.Kulemak.InvitationCount, InvitationTemplate);
+        }
+        else
+        {
+            Log.Warning("Invitation tab path not configured or not found, skipping grab");
+        }
+
+        // Close stash
+        await _game.PressEscape();
+        await Helpers.Sleep(Delays.PostEscape);
+
+        Log.Information("Preparation complete");
+        return true;
+    }
+
+    private async Task<bool> TravelToZone()
+    {
+        SetState(BossRunState.TravelingToZone);
+        Log.Information("Traveling to Well of Souls via waypoint");
+
+        await _game.FocusGame();
+        await Helpers.Sleep(Delays.PostFocus);
+
+        // Find and click Waypoint
+        var wpPos = await _inventory.FindAndClickNameplate("Waypoint");
+        if (wpPos == null)
+        {
+            Log.Error("Could not find Waypoint nameplate");
+            return false;
+        }
+        await Helpers.Sleep(1000);
+
+        // Template match well-of-souls.png and click
+        var match = await _screen.TemplateMatch(WellOfSoulsTemplate);
+        if (match == null)
+        {
+            Log.Error("Could not find Well of Souls on waypoint map");
+            await _game.PressEscape();
+            return false;
+        }
+
+        Log.Information("Found Well of Souls at ({X},{Y}), clicking", match.X, match.Y);
+        await _game.LeftClickAt(match.X, match.Y);
+
+        // Wait for area transition
+        var arrived = await _inventory.WaitForAreaTransition(_config.TravelTimeoutMs);
+        if (!arrived)
+        {
+            Log.Error("Timed out waiting for Well of Souls transition");
+            return false;
+        }
+
+        await Helpers.Sleep(Delays.PostTravel);
+        Log.Information("Arrived at Well of Souls");
+        return true;
+    }
+
+    private async Task<TemplateMatchResult?> WalkToEntrance()
+    {
+        SetState(BossRunState.WalkingToEntrance);
+        Log.Information("Walking to Black Cathedral entrance (W+D)");
+
+        return await WalkAndMatch(BlackCathedralTemplate, InputSender.VK.W, InputSender.VK.D, 15000);
+    }
+
+    private async Task<bool> UseInvitation(int x, int y)
+    {
+        SetState(BossRunState.UsingInvitation);
+        Log.Information("Using invitation at ({X},{Y})", x, y);
+
+        // Hover first so the game registers the target, then use invitation
+        await _game.MoveMouseTo(x, y);
+        await Helpers.Sleep(500);
+        await _game.CtrlLeftClickAt(x, y);
+        await Helpers.Sleep(1000);
+
+        // Find "NEW" text — pick the leftmost instance
+        var ocr = await _screen.Ocr();
+        var newWords = ocr.Lines
+            .SelectMany(l => l.Words)
+            .Where(w => w.Text.Equals("NEW", StringComparison.OrdinalIgnoreCase)
+                      || w.Text.Equals("New", StringComparison.Ordinal))
+            .OrderBy(w => w.X)
+            .ToList();
+
+        if (newWords.Count == 0)
+        {
+            Log.Error("Could not find 'NEW' text for instance selection");
+            return false;
+        }
+
+        var target = newWords[0];
+        var clickX = target.X + target.Width / 2;
+        var clickY = target.Y + target.Height / 2;
+        Log.Information("Found {Count} 'NEW' matches, clicking leftmost at ({X},{Y})", newWords.Count, clickX, clickY);
+        await _game.MoveMouseTo(clickX, clickY);
+        await Helpers.Sleep(500);
+        await _game.LeftClickAt(clickX, clickY);
+
+        // Wait for area transition into boss arena
+        var arrived = await _inventory.WaitForAreaTransition(_config.TravelTimeoutMs);
+        if (!arrived)
+        {
+            Log.Error("Timed out waiting for boss arena transition");
+            return false;
+        }
+
+        await Helpers.Sleep(Delays.PostTravel);
+        Log.Information("Entered boss arena");
+        return true;
+    }
+
+    private async Task Fight()
+    {
+        SetState(BossRunState.Fighting);
+        Log.Information("[PLACEHOLDER] Fight phase - waiting for manual combat");
+        // Placeholder: user handles combat manually for now
+        await Helpers.Sleep(1000);
+    }
+
+    private async Task Loot()
+    {
+        SetState(BossRunState.Looting);
+        Log.Information("[PLACEHOLDER] Loot phase - waiting for manual looting");
+        // Placeholder: user handles looting manually for now
+        await Helpers.Sleep(1000);
+    }
+
+    private async Task<bool> ReturnHome()
+    {
+        SetState(BossRunState.Returning);
+        Log.Information("Returning home");
+
+        await _game.FocusGame();
+        await Helpers.Sleep(Delays.PostFocus);
+
+        // Walk away from loot (hold S briefly)
+        await _game.KeyDown(InputSender.VK.S);
+        await Helpers.Sleep(1000);
+        await _game.KeyUp(InputSender.VK.S);
+        await Helpers.Sleep(300);
+
+        // Press + to open portal
+        await _game.PressPlus();
+        await Helpers.Sleep(1500);
+
+        // Find "The Ardura Caravan" and click it
+        var caravanPos = await _inventory.FindAndClickNameplate("The Ardura Caravan", maxRetries: 5, retryDelayMs: 1500);
+        if (caravanPos == null)
+        {
+            Log.Error("Could not find 'The Ardura Caravan' portal");
+            return false;
+        }
+
+        // Wait for area transition to caravan
+        var arrivedCaravan = await _inventory.WaitForAreaTransition(_config.TravelTimeoutMs);
+        if (!arrivedCaravan)
+        {
+            Log.Error("Timed out waiting for caravan transition");
+            return false;
+        }
+        await Helpers.Sleep(Delays.PostTravel);
+
+        // /hideout to go home
+        var arrivedHome = await _inventory.WaitForAreaTransition(
+            _config.TravelTimeoutMs, () => _game.GoToHideout());
+        if (!arrivedHome)
+        {
+            Log.Error("Timed out going to hideout");
+            return false;
+        }
+
+        await Helpers.Sleep(Delays.PostTravel);
+        _inventory.SetLocation(true);
+        Log.Information("Arrived at hideout");
+        return true;
+    }
+
+    private async Task StoreLoot()
+    {
+        SetState(BossRunState.StoringLoot);
+        Log.Information("Storing loot");
+
+        await _game.FocusGame();
+        await Helpers.Sleep(Delays.PostFocus);
+
+        // Open stash
+        var stashPos = await _inventory.FindAndClickNameplate("Stash");
+        if (stashPos == null)
+        {
+            Log.Warning("Could not find Stash, skipping loot storage");
+            return;
+        }
+        await Helpers.Sleep(Delays.PostStashOpen);
+
+        // Click loot tab
+        var (lootTab, lootFolder) = ResolveTabPath(_config.Kulemak.LootTabPath);
+        if (lootTab != null)
+            await _inventory.ClickStashTab(lootTab, lootFolder);
+
+        // Deposit all inventory items
+        var scanResult = await _screen.Grid.Scan("inventory");
+        if (scanResult.Occupied.Count > 0)
+        {
+            Log.Information("Depositing {Count} items to loot tab", scanResult.Occupied.Count);
+            await _game.KeyDown(InputSender.VK.SHIFT);
+            await _game.HoldCtrl();
+            foreach (var cell in scanResult.Occupied)
+            {
+                var center = _screen.Grid.GetCellCenter(GridLayouts.Inventory, cell.Row, cell.Col);
+                await _game.LeftClickAt(center.X, center.Y);
+                await Helpers.Sleep(Delays.ClickInterval);
+            }
+            await _game.ReleaseCtrl();
+            await _game.KeyUp(InputSender.VK.SHIFT);
+            await Helpers.Sleep(Delays.PostEscape);
+        }
+
+        // Close stash
+        await _game.PressEscape();
+        await Helpers.Sleep(Delays.PostEscape);
+
+        Log.Information("Loot stored");
+    }
+
+    private async Task<TemplateMatchResult?> WalkAndMatch(string templatePath, int vk1, int vk2,
+        int timeoutMs = 15000, int closeRadius = 350)
+    {
+        const int screenCx = 2560 / 2;
+        const int screenCy = 1440 / 2;
+
+        await _game.KeyDown(vk1);
+        await _game.KeyDown(vk2);
+        try
+        {
+            var sw = Stopwatch.StartNew();
+            bool spotted = false;
+            while (sw.ElapsedMilliseconds < timeoutMs)
+            {
+                if (_stopped) return null;
+                var match = await _screen.TemplateMatch(templatePath);
+                if (match == null)
+                {
+                    await Helpers.Sleep(500);
+                    continue;
+                }
+
+                var dx = match.X - screenCx;
+                var dy = match.Y - screenCy;
+                var dist = Math.Sqrt(dx * dx + dy * dy);
+
+                if (!spotted)
+                {
+                    Log.Information("Template spotted at ({X},{Y}), dist={Dist:F0}px from center, approaching...",
+                        match.X, match.Y, dist);
+                    spotted = true;
+                }
+
+                if (dist <= closeRadius)
+                {
+                    Log.Information("Close enough at ({X},{Y}), dist={Dist:F0}px, stopping", match.X, match.Y, dist);
+
+                    // Stop, settle, re-match for accurate position
+                    await _game.KeyUp(vk2);
+                    await _game.KeyUp(vk1);
+                    await Helpers.Sleep(300);
+
+                    var fresh = await _screen.TemplateMatch(templatePath);
+                    if (fresh != null)
+                    {
+                        Log.Information("Final position at ({X},{Y})", fresh.X, fresh.Y);
+                        return fresh;
+                    }
+                    Log.Warning("Re-match failed, using last known position");
+                    return match;
+                }
+
+                await Helpers.Sleep(200);
+            }
+            Log.Error("WalkAndMatch timed out after {Ms}ms (spotted={Spotted})", timeoutMs, spotted);
+            return null;
+        }
+        finally
+        {
+            await _game.KeyUp(vk2);
+            await _game.KeyUp(vk1);
+        }
+    }
+
+    private (StashTabInfo? Tab, StashTabInfo? Folder) ResolveTabPath(string tabPath)
+    {
+        if (string.IsNullOrEmpty(tabPath) || _config.StashCalibration == null)
+            return (null, null);
+
+        var parts = tabPath.Split('/');
+        if (parts.Length == 1)
+        {
+            // Simple tab name
+            var tab = _config.StashCalibration.Tabs.FirstOrDefault(t => t.Name == parts[0]);
+            return (tab, null);
+        }
+
+        if (parts.Length == 2)
+        {
+            // Folder/SubTab
+            var folder = _config.StashCalibration.Tabs.FirstOrDefault(t => t.Name == parts[0] && t.IsFolder);
+            if (folder == null) return (null, null);
+            var subTab = folder.SubTabs.FirstOrDefault(t => t.Name == parts[1]);
+            return (subTab, folder);
+        }
+
+        return (null, null);
+    }
+
+    private async Task RecoverToHideout()
+    {
+        try
+        {
+            Log.Information("Recovering: escaping and going to hideout");
+            await _game.FocusGame();
+            await _game.PressEscape();
+            await Helpers.Sleep(Delays.PostEscape);
+            await _game.PressEscape();
+            await Helpers.Sleep(Delays.PostEscape);
+
+            var arrived = await _inventory.WaitForAreaTransition(
+                _config.TravelTimeoutMs, () => _game.GoToHideout());
+            if (arrived)
+            {
+                _inventory.SetLocation(true);
+                Log.Information("Recovery: arrived at hideout");
+            }
+            else
+            {
+                Log.Warning("Recovery: timed out going to hideout");
+            }
+        }
+        catch (Exception ex)
+        {
+            Log.Error(ex, "Recovery failed");
+        }
+    }
+}

src/Poe2Trade.Bot/BotOrchestrator.cs

@@ -44,7 +44,9 @@ public class BotOrchestrator : IAsyncDisposable
     public GameStateDetector GameState { get; }
     public HudReader HudReader { get; }
     public EnemyDetector EnemyDetector { get; }
+    public BossDetector BossDetector { get; }
     public FrameSaver FrameSaver { get; }
+    public BossRunExecutor BossRunExecutor { get; }
     private readonly Dictionary<string, ScrapExecutor> _scrapExecutors = new();
 
     // Events
@@ -72,6 +74,7 @@ public class BotOrchestrator : IAsyncDisposable
         GameState = new GameStateDetector();
         HudReader = new HudReader();
         EnemyDetector = new EnemyDetector();
+        BossDetector = new BossDetector();
         FrameSaver = new FrameSaver();
 
         // Register on shared pipeline
@@ -79,12 +82,15 @@ public class BotOrchestrator : IAsyncDisposable
         pipelineService.Pipeline.AddConsumer(GameState);
         pipelineService.Pipeline.AddConsumer(HudReader);
         pipelineService.Pipeline.AddConsumer(EnemyDetector);
+        pipelineService.Pipeline.AddConsumer(BossDetector);
         pipelineService.Pipeline.AddConsumer(FrameSaver);
 
         // Pass shared pipeline to NavigationExecutor
         Navigation = new NavigationExecutor(game, pipelineService.Pipeline, minimapCapture,
             enemyDetector: EnemyDetector);
 
+        BossRunExecutor = new BossRunExecutor(game, screen, inventory, logWatcher, store.Settings, BossDetector);
+
         logWatcher.AreaEntered += _ => Navigation.Reset();
         logWatcher.Start(); // start early so area events fire even before Bot.Start()
         _paused = store.Settings.Paused;
@@ -182,6 +188,11 @@ public class BotOrchestrator : IAsyncDisposable
                 return;
             }
         }
+        if (BossRunExecutor.State != BossRunState.Idle)
+        {
+            State = BossRunExecutor.State.ToString();
+            return;
+        }
         if (Navigation.State != NavigationState.Idle)
         {
             State = Navigation.State.ToString();
@@ -264,10 +275,44 @@ public class BotOrchestrator : IAsyncDisposable
     {
         LogWatcher.Start();
         await Game.FocusGame();
+        await Screen.Warmup();
 
+        BossRunExecutor.StateChanged += _ => UpdateExecutorState();
         Navigation.StateChanged += _ => UpdateExecutorState();
         _started = true;
 
+        if (Config.MapType == MapType.Kulemak)
+        {
+            // Boss run needs hideout first
+            var inHideout = LogWatcher.CurrentArea.Contains("hideout", StringComparison.OrdinalIgnoreCase);
+            if (!inHideout)
+            {
+                Emit("info", "Sending /hideout command...");
+                var arrivedHome = await Inventory.WaitForAreaTransition(Config.TravelTimeoutMs, () => Game.GoToHideout());
+                if (!arrivedHome)
+                    Log.Warning("Timed out waiting for hideout transition on startup");
+            }
+            Inventory.SetLocation(true);
+
+            Emit("info", "Starting boss run loop...");
+            State = "Preparing";
+            _ = BossRunExecutor.RunBossLoop().ContinueWith(t =>
+            {
+                if (t.IsFaulted)
+                {
+                    Log.Error(t.Exception!, "Boss run loop failed");
+                    Emit("error", $"Boss run failed: {t.Exception?.InnerException?.Message}");
+                }
+                else
+                {
+                    Emit("info", "Boss run loop finished");
+                }
+                State = "Idle";
+                StatusUpdated?.Invoke();
+            });
+        }
+        else
+        {
             Emit("info", "Starting map exploration...");
             State = "Exploring";
             _ = Navigation.RunExploreLoop().ContinueWith(t =>
@@ -285,6 +330,7 @@ public class BotOrchestrator : IAsyncDisposable
                 StatusUpdated?.Invoke();
             });
         }
+    }
 
     public async ValueTask DisposeAsync()
     {

src/Poe2Trade.Core/ConfigStore.cs

@@ -34,6 +34,16 @@ public class SavedSettings
     public MapType MapType { get; set; } = MapType.TrialOfChaos;
     public StashCalibration? StashCalibration { get; set; }
     public StashCalibration? ShopCalibration { get; set; }
+    public bool ShowHudDebug { get; set; }
+    public KulemakSettings Kulemak { get; set; } = new();
+}
+
+public class KulemakSettings
+{
+    public bool Enabled { get; set; }
+    public string InvitationTabPath { get; set; } = "";
+    public string LootTabPath { get; set; } = "";
+    public int InvitationCount { get; set; } = 15;
 }
 
 public class ConfigStore
@@ -129,6 +139,33 @@ public class ConfigStore
         try
         {
             var raw = File.ReadAllText(_filePath);
+
+            // Migrate: BossRun was removed from BotMode, now it's MapType.Kulemak
+            if (raw.Contains("\"bossRun\"") || raw.Contains("\"BossRun\""))
+            {
+                const System.Text.RegularExpressions.RegexOptions ic =
+                    System.Text.RegularExpressions.RegexOptions.IgnoreCase;
+
+                // Mode enum: bossRun → mapping
+                using var doc = JsonDocument.Parse(raw);
+                if (doc.RootElement.TryGetProperty("Mode", out var modeProp) &&
+                    modeProp.GetString()?.Equals("bossRun", StringComparison.OrdinalIgnoreCase) == true)
+                {
+                    raw = System.Text.RegularExpressions.Regex.Replace(
+                        raw, @"""Mode""\s*:\s*""bossRun""", @"""Mode"": ""mapping""", ic);
+                    raw = System.Text.RegularExpressions.Regex.Replace(
+                        raw, @"""MapType""\s*:\s*""[^""]*""", @"""MapType"": ""kulemak""", ic);
+                    Log.Information("Migrated config: Mode bossRun -> mapping + MapType kulemak");
+                }
+
+                // MapType enum value: bossRun → kulemak
+                raw = System.Text.RegularExpressions.Regex.Replace(
+                    raw, @"""MapType""\s*:\s*""bossRun""", @"""MapType"": ""kulemak""", ic);
+
+                // Settings property name: BossRun → Kulemak
+                raw = raw.Replace("\"BossRun\":", "\"Kulemak\":");
+            }
+
             var parsed = JsonSerializer.Deserialize<SavedSettings>(raw, JsonOptions);
             if (parsed == null) return new SavedSettings();
 

src/Poe2Trade.Core/Types.cs

@@ -75,11 +75,27 @@ public enum BotMode
     Mapping
 }
 
+public enum BossRunState
+{
+    Idle,
+    Preparing,
+    TravelingToZone,
+    WalkingToEntrance,
+    UsingInvitation,
+    Fighting,
+    Looting,
+    Returning,
+    StoringLoot,
+    Complete,
+    Failed
+}
+
 public enum MapType
 {
     TrialOfChaos,
     Temple,
-    Endgame
+    Endgame,
+    Kulemak
 }
 
 public enum GameUiState

src/Poe2Trade.Game/GameController.cs

@@ -77,4 +77,10 @@ public class GameController : IGameController
     public Task ToggleMinimap() => _input.PressKey(InputSender.VK.TAB);
     public Task KeyDown(int vkCode) => _input.KeyDown(vkCode);
     public Task KeyUp(int vkCode) => _input.KeyUp(vkCode);
+    public Task PressPlus() => _input.PressKey(0xBB); // VK_OEM_PLUS
+    public Task PressKey(int vkCode) => _input.PressKey(vkCode);
+    public void LeftMouseDown() => _input.LeftMouseDown();
+    public void LeftMouseUp() => _input.LeftMouseUp();
+    public void RightMouseDown() => _input.RightMouseDown();
+    public void RightMouseUp() => _input.RightMouseUp();
 }

src/Poe2Trade.Game/IGameController.cs

@@ -22,4 +22,10 @@ public interface IGameController
     Task ToggleMinimap();
     Task KeyDown(int vkCode);
     Task KeyUp(int vkCode);
+    Task PressPlus();
+    Task PressKey(int vkCode);
+    void LeftMouseDown();
+    void LeftMouseUp();
+    void RightMouseDown();
+    void RightMouseUp();
 }

src/Poe2Trade.Game/InputSender.cs

@@ -34,6 +34,7 @@ public class InputSender
         public const int W = 0x57;
         public const int S = 0x53;
         public const int D = 0x44;
+        public const int Z = 0x5A;
     }
 
     public async Task PressKey(int vkCode)
@@ -142,6 +143,11 @@ public class InputSender
         await Helpers.RandomDelay(5, 15);
     }
 
+    public void LeftMouseDown()  => SendMouseInput(0, 0, 0, InputNative.MOUSEEVENTF_LEFTDOWN);
+    public void LeftMouseUp()    => SendMouseInput(0, 0, 0, InputNative.MOUSEEVENTF_LEFTUP);
+    public void RightMouseDown() => SendMouseInput(0, 0, 0, InputNative.MOUSEEVENTF_RIGHTDOWN);
+    public void RightMouseUp()   => SendMouseInput(0, 0, 0, InputNative.MOUSEEVENTF_RIGHTUP);
+
     public void MoveMouseInstant(int x, int y) => MoveMouseRaw(x, y);
 
     public async Task MoveMouseFast(int x, int y)

src/Poe2Trade.Inventory/IInventoryManager.cs

@@ -19,4 +19,6 @@ public interface IInventoryManager
     Task DepositItemsToStash(List<PlacedItem> items);
     Task<bool> SalvageItems(List<PlacedItem> items);
     (bool[,] Grid, List<PlacedItem> Items, int Free) GetInventoryState();
+    Task ClickStashTab(StashTabInfo tab, StashTabInfo? parentFolder = null);
+    Task GrabItemsFromStash(string layoutName, int maxItems, string? templatePath = null);
 }

src/Poe2Trade.Inventory/InventoryManager.cs

@@ -155,6 +155,7 @@ public class InventoryManager : IInventoryManager
 
     private async Task CtrlClickItems(List<PlacedItem> items, GridLayout layout, int clickDelayMs = Delays.ClickInterval)
     {
+        await _game.KeyDown(Game.InputSender.VK.SHIFT);
         await _game.HoldCtrl();
         foreach (var item in items)
         {
@@ -163,6 +164,7 @@ public class InventoryManager : IInventoryManager
             await Helpers.Sleep(clickDelayMs);
         }
         await _game.ReleaseCtrl();
+        await _game.KeyUp(Game.InputSender.VK.SHIFT);
         await Helpers.Sleep(Delays.PostEscape);
     }
 
@@ -208,13 +210,31 @@ public class InventoryManager : IInventoryManager
         for (var attempt = 1; attempt <= maxRetries; attempt++)
         {
             Log.Information("Searching for nameplate '{Name}' (attempt {Attempt}/{Max})", name, attempt, maxRetries);
-            var pos = await _screen.FindTextOnScreen(name, fuzzy: true);
+
+            // Move mouse to bottom-left so it doesn't cover nameplates
+            _game.MoveMouseInstant(0, 1440);
+            await Helpers.Sleep(100);
+
+            // Nameplates hidden by default — capture clean reference
+            using var reference = _screen.CaptureRawBitmap();
+
+            // Hold Alt to show nameplates, capture, then release
+            await _game.KeyDown(Game.InputSender.VK.MENU);
+            await Helpers.Sleep(50);
+            using var current = _screen.CaptureRawBitmap();
+            await _game.KeyUp(Game.InputSender.VK.MENU);
+
+            // Diff OCR — only processes the bright nameplate regions
+            var result = await _screen.NameplateDiffOcr(reference, current);
+            var pos = FindWordInOcrResult(result, name, fuzzy: true);
             if (pos.HasValue)
             {
                 Log.Information("Clicking nameplate '{Name}' at ({X},{Y})", name, pos.Value.X, pos.Value.Y);
                 await _game.LeftClickAt(pos.Value.X, pos.Value.Y);
                 return pos;
             }
+
+            Log.Debug("Nameplate '{Name}' not found in diff OCR (attempt {Attempt}), text: {Text}", name, attempt, result.Text);
             if (attempt < maxRetries)
                 await Helpers.Sleep(retryDelayMs);
         }
@@ -223,6 +243,73 @@ public class InventoryManager : IInventoryManager
         return null;
     }
 
+    private static (int X, int Y)? FindWordInOcrResult(OcrResponse result, string needle, bool fuzzy)
+    {
+        var lower = needle.ToLowerInvariant();
+
+        // Multi-word: match against full line text
+        if (lower.Contains(' '))
+        {
+            foreach (var line in result.Lines)
+            {
+                if (line.Words.Count == 0) continue;
+                if (line.Text.Contains(needle, StringComparison.OrdinalIgnoreCase))
+                {
+                    var first = line.Words[0];
+                    var last = line.Words[^1];
+                    return ((first.X + last.X + last.Width) / 2, (first.Y + last.Y + last.Height) / 2);
+                }
+                if (fuzzy)
+                {
+                    var sim = BigramSimilarity(Normalize(needle), Normalize(line.Text));
+                    if (sim >= 0.55)
+                    {
+                        var first = line.Words[0];
+                        var last = line.Words[^1];
+                        return ((first.X + last.X + last.Width) / 2, (first.Y + last.Y + last.Height) / 2);
+                    }
+                }
+            }
+            return null;
+        }
+
+        // Single word
+        foreach (var line in result.Lines)
+        foreach (var word in line.Words)
+        {
+            if (word.Text.Contains(needle, StringComparison.OrdinalIgnoreCase))
+                return (word.X + word.Width / 2, word.Y + word.Height / 2);
+            if (fuzzy && BigramSimilarity(Normalize(needle), Normalize(word.Text)) >= 0.55)
+                return (word.X + word.Width / 2, word.Y + word.Height / 2);
+        }
+        return null;
+    }
+
+    private static string Normalize(string s) =>
+        new(s.ToLowerInvariant().Where(char.IsLetterOrDigit).ToArray());
+
+    private static double BigramSimilarity(string a, string b)
+    {
+        if (a.Length < 2 || b.Length < 2) return a == b ? 1 : 0;
+        var bigramsA = new Dictionary<(char, char), int>();
+        for (var i = 0; i < a.Length - 1; i++)
+        {
+            var bg = (a[i], a[i + 1]);
+            bigramsA[bg] = bigramsA.GetValueOrDefault(bg) + 1;
+        }
+        var matches = 0;
+        for (var i = 0; i < b.Length - 1; i++)
+        {
+            var bg = (b[i], b[i + 1]);
+            if (bigramsA.TryGetValue(bg, out var count) && count > 0)
+            {
+                matches++;
+                bigramsA[bg] = count - 1;
+            }
+        }
+        return 2.0 * matches / (a.Length - 1 + b.Length - 1);
+    }
+
     public async Task<bool> WaitForAreaTransition(int timeoutMs, Func<Task>? triggerAction = null)
     {
         var tcs = new TaskCompletionSource<bool>(TaskCreationOptions.RunContinuationsAsynchronously);
@@ -254,4 +341,64 @@ public class InventoryManager : IInventoryManager
     {
         return (Tracker.GetGrid(), Tracker.GetItems(), Tracker.FreeCells);
     }
+
+    public async Task ClickStashTab(StashTabInfo tab, StashTabInfo? parentFolder = null)
+    {
+        if (parentFolder != null)
+        {
+            Log.Information("Clicking folder '{Folder}' at ({X},{Y})", parentFolder.Name, parentFolder.ClickX, parentFolder.ClickY);
+            await _game.LeftClickAt(parentFolder.ClickX, parentFolder.ClickY);
+            await Helpers.Sleep(200);
+        }
+
+        Log.Information("Clicking tab '{Tab}' at ({X},{Y})", tab.Name, tab.ClickX, tab.ClickY);
+        await _game.LeftClickAt(tab.ClickX, tab.ClickY);
+        await Helpers.Sleep(Delays.PostStashOpen);
+    }
+
+    public async Task GrabItemsFromStash(string layoutName, int maxItems, string? templatePath = null)
+    {
+        Log.Information("Grabbing up to {Max} items from stash layout '{Layout}' (template={Template})",
+            maxItems, layoutName, templatePath ?? "none");
+
+        var layout = GridLayouts.All[layoutName];
+
+        if (templatePath != null)
+        {
+            // Template matching mode: repeatedly find and click matching items
+            var grabbed = 0;
+            await _game.HoldCtrl();
+            while (grabbed < maxItems)
+            {
+                var match = await _screen.TemplateMatch(templatePath, layout.Region);
+                if (match == null) break;
+
+                Log.Information("Template match at ({X},{Y}), grabbing", match.X, match.Y);
+                await _game.LeftClickAt(match.X, match.Y);
+                await Helpers.Sleep(Delays.ClickInterval);
+                grabbed++;
+            }
+            await _game.ReleaseCtrl();
+            await Helpers.Sleep(Delays.PostEscape);
+            Log.Information("Grabbed {Count} matching items from stash", grabbed);
+        }
+        else
+        {
+            // Grid scan mode: grab all occupied cells
+            var result = await _screen.Grid.Scan(layoutName);
+            var grabbed = 0;
+            await _game.HoldCtrl();
+            foreach (var cell in result.Occupied)
+            {
+                if (grabbed >= maxItems) break;
+                var center = _screen.Grid.GetCellCenter(layout, cell.Row, cell.Col);
+                await _game.LeftClickAt(center.X, center.Y);
+                await Helpers.Sleep(Delays.ClickInterval);
+                grabbed++;
+            }
+            await _game.ReleaseCtrl();
+            await Helpers.Sleep(Delays.PostEscape);
+            Log.Information("Grabbed {Count} items from stash", grabbed);
+        }
+    }
 }

src/Poe2Trade.Screen/BossDetector.cs

@@ -0,0 +1,78 @@
+using Poe2Trade.Core;
+using Serilog;
+using Region = Poe2Trade.Core.Region;
+
+namespace Poe2Trade.Screen;
+
+public class BossDetector : IFrameConsumer, IDisposable
+{
+    private const int DetectEveryNFrames = 6;
+    private const int MinConsecutiveFrames = 2;
+
+    private readonly PythonDetectBridge _bridge = new();
+    private volatile BossSnapshot _latest = new([], 0, 0);
+    private int _frameCounter;
+    private int _consecutiveDetections;
+    private string _modelName = "boss-kulemak";
+
+    public bool Enabled { get; set; }
+    public BossSnapshot Latest => _latest;
+    public event Action<BossSnapshot>? BossDetected;
+
+    public void SetBoss(string bossName)
+    {
+        _modelName = $"boss-{bossName}";
+        _consecutiveDetections = 0;
+    }
+
+    public void Process(ScreenFrame frame)
+    {
+        if (!Enabled) return;
+        if (++_frameCounter % DetectEveryNFrames != 0) return;
+
+        try
+        {
+            // Use full frame — model was trained on full 2560x1440 screenshots
+            var fullRegion = new Region(0, 0, frame.Width, frame.Height);
+            using var bgr = frame.CropBgr(fullRegion);
+            var result = _bridge.Detect(bgr, conf: 0.60f, imgsz: 1280, model: _modelName);
+
+            var bosses = new List<DetectedBoss>(result.Count);
+            foreach (var det in result.Detections)
+            {
+                bosses.Add(new DetectedBoss(
+                    det.ClassName,
+                    det.Confidence,
+                    det.X,
+                    det.Y,
+                    det.Width,
+                    det.Height,
+                    det.Cx,
+                    det.Cy));
+            }
+
+            var snapshot = new BossSnapshot(
+                bosses.AsReadOnly(),
+                DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
+                result.InferenceMs);
+
+            _latest = snapshot;
+            if (bosses.Count > 0)
+            {
+                _consecutiveDetections++;
+                if (_consecutiveDetections >= MinConsecutiveFrames)
+                    BossDetected?.Invoke(snapshot);
+            }
+            else
+            {
+                _consecutiveDetections = 0;
+            }
+        }
+        catch (Exception ex)
+        {
+            Log.Debug(ex, "BossDetector YOLO failed");
+        }
+    }
+
+    public void Dispose() => _bridge.Dispose();
+}

src/Poe2Trade.Screen/DetectionTypes.cs

@@ -10,3 +10,14 @@ public record DetectionSnapshot(
     IReadOnlyList<DetectedEnemy> Enemies,
     long Timestamp,
     float InferenceMs);
+
+public record DetectedBoss(
+    string ClassName,
+    float Confidence,
+    int X, int Y, int Width, int Height,
+    int Cx, int Cy);
+
+public record BossSnapshot(
+    IReadOnlyList<DetectedBoss> Bosses,
+    long Timestamp,
+    float InferenceMs);

src/Poe2Trade.Screen/FrameSaver.cs

@@ -16,6 +16,7 @@ public class FrameSaver : IFrameConsumer
 
     private const int JpegQuality = 95;
     private const int MinSaveIntervalMs = 1000;
+    private const int BurstIntervalMs = 200;
     private const int MinRedPixels = 50;
     private const int ThumbSize = 64;
     private const double MovementThreshold = 8.0; // mean absolute diff on 64x64 grayscale
@@ -26,6 +27,7 @@ public class FrameSaver : IFrameConsumer
     private Mat? _prevThumb;
 
     public bool Enabled { get; set; }
+    public bool BurstMode { get; set; }
     public int SavedCount => _savedCount;
 
     public FrameSaver(string outputDir = "training-data/raw")
@@ -35,21 +37,24 @@ public class FrameSaver : IFrameConsumer
 
     public void Process(ScreenFrame frame)
     {
-        if (!Enabled) return;
+        if (!Enabled && !BurstMode) return;
 
         var now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
-        if (now - _lastSaveTime < MinSaveIntervalMs) return;
+        var interval = BurstMode ? BurstIntervalMs : MinSaveIntervalMs;
+        if (now - _lastSaveTime < interval) return;
 
         if (GameplayRegion.X + GameplayRegion.Width > frame.Width ||
             GameplayRegion.Y + GameplayRegion.Height > frame.Height)
             return;
 
         try
+        {
+            if (!BurstMode)
             {
                 using var bgr = frame.CropBgr(GameplayRegion);
-
                 if (!HasHealthBars(bgr)) return;
                 if (!HasSceneChanged(bgr)) return;
+            }
 
             if (!Directory.Exists(_outputDir))
                 Directory.CreateDirectory(_outputDir);

src/Poe2Trade.Screen/HudReader.cs

@@ -1,5 +1,3 @@
-using System.Drawing;
-using System.Text.RegularExpressions;
 using OpenCvSharp;
 using Poe2Trade.Core;
 using Serilog;
@@ -7,38 +5,41 @@ using Region = Poe2Trade.Core.Region;
 
 namespace Poe2Trade.Screen;
 
-public record HudValues(int Current, int Max);
-
 public record HudSnapshot
 {
-    public HudValues? Life { get; init; }
-    public HudValues? Mana { get; init; }
-    public HudValues? EnergyShield { get; init; }
-    public HudValues? Spirit { get; init; }
+    public float LifePct { get; init; }
+    public float ShieldPct { get; init; }
+    public float ManaPct { get; init; }
     public long Timestamp { get; init; }
-
-    public float LifePct => Life is { Max: > 0 } l ? (float)l.Current / l.Max : 1f;
-    public float ManaPct => Mana is { Max: > 0 } m ? (float)m.Current / m.Max : 1f;
 }
 
 /// <summary>
-/// Reads life/mana/ES/spirit values from HUD globe text via OCR.
-/// Throttled to ~1 read per second (every 30 frames at 30fps).
+/// Reads life/mana/shield fill levels by sampling pixel colors on the globes.
+/// Finds the highest Y where the fill color appears — the fill drains from top down.
+/// Samples a horizontal band (±SampleHalfWidth) at each Y for robustness against the frame ornaments.
 /// </summary>
 public class HudReader : IFrameConsumer
 {
-    private static readonly Regex ValuePattern = new(@"(\d+)\s*/\s*(\d+)", RegexOptions.Compiled);
+    // Globe centers at 2560x1440
+    private const int LifeX = 167;
+    private const int ManaX = 2394;
+    private const int GlobeTop = 1185;
+    private const int GlobeBottom = 1411;
 
-    // Crop regions for HUD text at 2560x1440 — placeholders, need calibration
-    private static readonly Region LifeRegion = new(100, 1340, 200, 40);
-    private static readonly Region ManaRegion = new(2260, 1340, 200, 40);
-    private static readonly Region EsRegion = new(100, 1300, 200, 40);
-    private static readonly Region SpiritRegion = new(2260, 1300, 200, 40);
+    // Shield ring: circle centered at (168, 1294), radius 130
+    private const int ShieldCX = 170;
+    private const int ShieldCY = 1298;
+    private const int ShieldRadius = 130;
 
-    private const int OcrEveryNFrames = 30;
+    // Sample a horizontal band of pixels at each Y level
+    private const int SampleHalfWidth = 8;
+    // Minimum pixels in the band that must match to count as "filled"
+    private const int MinHits = 2;
 
-    private readonly PythonOcrBridge _ocr = new();
-    private volatile HudSnapshot _current = new() { Timestamp = 0 };
+    private const int MinChannel = 60;
+    private const float DominanceRatio = 1.2f;
+
+    private volatile HudSnapshot _current = new();
     private int _frameCounter;
 
     public HudSnapshot Current => _current;
@@ -47,64 +48,128 @@ public class HudReader : IFrameConsumer
 
     public void Process(ScreenFrame frame)
     {
-        if (++_frameCounter % OcrEveryNFrames != 0) return;
+        if (++_frameCounter % 2 != 0) return;
 
         try
         {
-            var life = ReadValue(frame, LifeRegion);
-            var mana = ReadValue(frame, ManaRegion);
-            var es = ReadValue(frame, EsRegion);
-            var spirit = ReadValue(frame, SpiritRegion);
+            var manaPct = SampleFillLevel(frame, ManaX, IsManaPixel);
+            var shieldPct = SampleShieldRing(frame);
+
+            // If life globe is cyan (1-life build), life = 0
+            var redFill = SampleFillLevel(frame, LifeX, IsLifePixel);
+            var cyanFill = SampleFillLevel(frame, LifeX, IsCyanPixel);
+            var lifePct = cyanFill > redFill ? 0f : redFill;
 
             var snapshot = new HudSnapshot
             {
-                Life = life,
-                Mana = mana,
-                EnergyShield = es,
-                Spirit = spirit,
+                LifePct = lifePct,
+                ManaPct = manaPct,
+                ShieldPct = shieldPct,
                 Timestamp = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
             };
 
             _current = snapshot;
             Updated?.Invoke(snapshot);
 
-            if (snapshot.LifePct < 0.3f)
+            if (lifePct < 0.3f)
                 LowLife?.Invoke(snapshot);
         }
         catch (Exception ex)
         {
-            Log.Debug(ex, "HudReader OCR failed");
+            Log.Debug(ex, "HudReader sample failed");
         }
     }
 
-    private HudValues? ReadValue(ScreenFrame frame, Region region)
+    /// <summary>
+    /// Scan from top to bottom to find the first Y row where the fill color appears.
+    /// Fill % = 1 - (firstFilledY - GlobeTop) / (GlobeBottom - GlobeTop).
+    /// At each Y, sample a horizontal band of pixels and require MinHits matches.
+    /// </summary>
+    private static float SampleFillLevel(ScreenFrame frame, int centerX, Func<Vec4b, bool> colorTest)
     {
-        // Bounds check
-        if (region.X + region.Width > frame.Width || region.Y + region.Height > frame.Height)
-            return null;
+        if (centerX >= frame.Width || GlobeBottom >= frame.Height) return 0f;
 
-        using var bgr = frame.CropBgr(region);
-        using var gray = new Mat();
-        Cv2.CvtColor(bgr, gray, ColorConversionCodes.BGR2GRAY);
+        int height = GlobeBottom - GlobeTop;
+        if (height <= 0) return 0f;
 
-        // Threshold for white text on dark background
-        using var thresh = new Mat();
-        Cv2.Threshold(gray, thresh, 180, 255, ThresholdTypes.Binary);
+        int xMin = Math.Max(0, centerX - SampleHalfWidth);
+        int xMax = Math.Min(frame.Width - 1, centerX + SampleHalfWidth);
 
-        // Convert to Bitmap for OCR bridge
-        var bytes = thresh.ToBytes(".png");
-        using var ms = new System.IO.MemoryStream(bytes);
-        using var bitmap = new Bitmap(ms);
+        // Scan from top down — find first row with enough matching pixels
+        for (int y = GlobeTop; y <= GlobeBottom; y++)
+        {
+            int hits = 0;
+            for (int x = xMin; x <= xMax; x++)
+            {
+                if (colorTest(frame.PixelAt(x, y)))
+                    hits++;
+                if (hits >= MinHits) break;
+            }
 
-        var result = _ocr.OcrFromBitmap(bitmap);
-        if (string.IsNullOrWhiteSpace(result.Text)) return null;
-
-        var match = ValuePattern.Match(result.Text);
-        if (!match.Success) return null;
-
-        return new HudValues(
-            int.Parse(match.Groups[1].Value),
-            int.Parse(match.Groups[2].Value)
-        );
+            if (hits >= MinHits)
+            {
+                // Fill level = how far down from top this first row is
+                // If found at GlobeTop → 100%, at GlobeBottom → 0%
+                return 1f - (float)(y - GlobeTop) / height;
             }
         }
+
+        return 0f; // no fill found
+    }
+
+    /// <summary>
+    /// Sample the shield ring — right semicircle (12 o'clock to 6 o'clock) around the life globe.
+    /// Scans from bottom (6 o'clock) upward along the arc, tracking contiguous cyan fill.
+    /// </summary>
+    private static float SampleShieldRing(ScreenFrame frame)
+    {
+        int yTop = ShieldCY - ShieldRadius;
+        int yBot = ShieldCY + ShieldRadius;
+        if (yBot >= frame.Height) return 0f;
+
+        int r2 = ShieldRadius * ShieldRadius;
+
+        // Scan from top (12 o'clock) down along the right arc
+        // When we find the first cyan row, convert Y to arc fraction
+        for (int y = yTop; y <= yBot; y++)
+        {
+            int dy = y - ShieldCY;
+            int dx = (int)Math.Sqrt(r2 - dy * dy);
+            int arcX = ShieldCX + dx;
+
+            if (arcX >= frame.Width) continue;
+
+            int hits = 0;
+            for (int x = Math.Max(0, arcX - 3); x <= Math.Min(frame.Width - 1, arcX + 3); x++)
+            {
+                if (IsCyanPixel(frame.PixelAt(x, y)))
+                    hits++;
+                if (hits >= MinHits) break;
+            }
+
+            if (hits >= MinHits)
+            {
+                // Convert Y to angle on the semicircle: θ = arcsin((y - cy) / r)
+                // Arc fraction from top = (θ + π/2) / π
+                // Fill = 1 - arc_fraction
+                var theta = Math.Asin(Math.Clamp((double)(y - ShieldCY) / ShieldRadius, -1, 1));
+                var arcFraction = (theta + Math.PI / 2) / Math.PI;
+                return (float)(1.0 - arcFraction);
+            }
+        }
+
+        return 0f;
+    }
+
+    // B=0, G=1, R=2, A=3
+    private static bool IsLifePixel(Vec4b px) =>
+        px[2] > MinChannel && px[2] > px[1] * DominanceRatio && px[2] > px[0] * DominanceRatio;
+
+    private static bool IsManaPixel(Vec4b px) =>
+        px[0] > MinChannel && px[0] > px[1] * DominanceRatio && px[0] > px[2] * DominanceRatio;
+
+    private static bool IsCyanPixel(Vec4b px) =>
+        px[0] > MinChannel && px[1] > MinChannel
+        && px[0] > px[2] * DominanceRatio
+        && px[1] > px[2] * DominanceRatio;
+}

src/Poe2Trade.Screen/IScreenReader.cs

@@ -17,6 +17,8 @@ public interface IScreenReader : IDisposable
     Task Snapshot();
     Task<DiffOcrResponse> DiffOcr(string? savePath = null, Region? region = null);
     Task<TemplateMatchResult?> TemplateMatch(string templatePath, Region? region = null);
+    Task<OcrResponse> NameplateDiffOcr(System.Drawing.Bitmap reference, System.Drawing.Bitmap current);
+    System.Drawing.Bitmap CaptureRawBitmap();
     Task SaveScreenshot(string path);
     Task SaveRegion(Region region, string path);
 }

src/Poe2Trade.Screen/PythonDetectBridge.cs

@@ -35,7 +35,7 @@ class PythonDetectBridge : IDisposable
     /// <summary>
     /// Run YOLO detection on a BGR Mat. Returns parsed detection results.
     /// </summary>
-    public DetectResponse Detect(Mat bgrMat, float conf = 0.3f, float iou = 0.45f, int imgsz = 640)
+    public DetectResponse Detect(Mat bgrMat, float conf = 0.3f, float iou = 0.45f, int imgsz = 640, string? model = null)
     {
         EnsureRunning();
 
@@ -49,6 +49,7 @@ class PythonDetectBridge : IDisposable
             ["conf"] = conf,
             ["iou"] = iou,
             ["imgsz"] = imgsz,
+            ["model"] = model,
         };
 
         return SendRequest(req);

src/Poe2Trade.Screen/ScreenReader.cs

@@ -1,6 +1,10 @@
+using System.Drawing;
+using System.Drawing.Imaging;
+using System.Runtime.InteropServices;
 using Poe2Trade.Core;
 using OpenCvSharp.Extensions;
 using Serilog;
+using Region = Poe2Trade.Core.Region;
 
 namespace Poe2Trade.Screen;
 
@@ -178,6 +182,144 @@ public class ScreenReader : IScreenReader
         return Task.CompletedTask;
     }
 
+    // -- Nameplate diff OCR --
+
+    public Bitmap CaptureRawBitmap() => ScreenCapture.CaptureOrLoad(null, null);
+
+    public Task<OcrResponse> NameplateDiffOcr(Bitmap reference, Bitmap current)
+    {
+        int w = Math.Min(reference.Width, current.Width);
+        int h = Math.Min(reference.Height, current.Height);
+
+        var refData = reference.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
+        var curData = current.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
+        byte[] refPx = new byte[refData.Stride * h];
+        byte[] curPx = new byte[curData.Stride * h];
+        Marshal.Copy(refData.Scan0, refPx, 0, refPx.Length);
+        Marshal.Copy(curData.Scan0, curPx, 0, curPx.Length);
+        int stride = refData.Stride;
+        reference.UnlockBits(refData);
+        current.UnlockBits(curData);
+
+        // Build a binary mask of pixels that got significantly brighter (nameplates are bright text)
+        const int brightThresh = 30;
+        bool[] mask = new bool[w * h];
+        Parallel.For(0, h, y =>
+        {
+            int rowOff = y * stride;
+            for (int x = 0; x < w; x++)
+            {
+                int i = rowOff + x * 4;
+                int brighter = (curPx[i] - refPx[i]) + (curPx[i + 1] - refPx[i + 1]) + (curPx[i + 2] - refPx[i + 2]);
+                if (brighter > brightThresh)
+                    mask[y * w + x] = true;
+            }
+        });
+
+        // Find connected clusters via row-scan: collect bounding boxes of bright regions
+        var boxes = FindBrightClusters(mask, w, h, minWidth: 40, minHeight: 10, maxGap: 8);
+        Log.Information("NameplateDiff: found {Count} bright clusters", boxes.Count);
+
+        if (boxes.Count == 0)
+            return Task.FromResult(new OcrResponse { Text = "", Lines = [] });
+
+        // OCR each cluster crop, accumulate results with screen-space coordinates
+        var allLines = new List<OcrLine>();
+        var allText = new List<string>();
+
+        foreach (var box in boxes)
+        {
+            // Pad the crop slightly
+            int pad = 4;
+            int cx = Math.Max(0, box.X - pad);
+            int cy = Math.Max(0, box.Y - pad);
+            int cw = Math.Min(w - cx, box.Width + pad * 2);
+            int ch = Math.Min(h - cy, box.Height + pad * 2);
+
+            using var crop = current.Clone(new Rectangle(cx, cy, cw, ch), PixelFormat.Format32bppArgb);
+            var ocrResult = _pythonBridge.OcrFromBitmap(crop);
+
+            // Offset word coordinates to screen space
+            foreach (var line in ocrResult.Lines)
+            {
+                foreach (var word in line.Words)
+                {
+                    word.X += cx;
+                    word.Y += cy;
+                }
+                allLines.Add(line);
+                allText.Add(line.Text);
+            }
+        }
+
+        return Task.FromResult(new OcrResponse
+        {
+            Text = string.Join("\n", allText),
+            Lines = allLines,
+        });
+    }
+
+    private static List<Rectangle> FindBrightClusters(bool[] mask, int w, int h, int minWidth, int minHeight, int maxGap)
+    {
+        // Row density
+        int[] rowCounts = new int[h];
+        for (int y = 0; y < h; y++)
+            for (int x = 0; x < w; x++)
+                if (mask[y * w + x]) rowCounts[y]++;
+
+        // Find horizontal bands of bright rows
+        int rowThresh = 3;
+        var bands = new List<(int Top, int Bottom)>();
+        int bandStart = -1, lastActive = -1;
+        for (int y = 0; y < h; y++)
+        {
+            if (rowCounts[y] >= rowThresh)
+            {
+                if (bandStart < 0) bandStart = y;
+                lastActive = y;
+            }
+            else if (bandStart >= 0 && y - lastActive > maxGap)
+            {
+                if (lastActive - bandStart + 1 >= minHeight)
+                    bands.Add((bandStart, lastActive));
+                bandStart = -1;
+            }
+        }
+        if (bandStart >= 0 && lastActive - bandStart + 1 >= minHeight)
+            bands.Add((bandStart, lastActive));
+
+        // For each band, find column extents to get individual nameplate boxes
+        var boxes = new List<Rectangle>();
+        foreach (var (top, bottom) in bands)
+        {
+            int[] colCounts = new int[w];
+            for (int y = top; y <= bottom; y++)
+                for (int x = 0; x < w; x++)
+                    if (mask[y * w + x]) colCounts[x]++;
+
+            int colThresh = 1;
+            int colStart = -1, lastCol = -1;
+            for (int x = 0; x < w; x++)
+            {
+                if (colCounts[x] >= colThresh)
+                {
+                    if (colStart < 0) colStart = x;
+                    lastCol = x;
+                }
+                else if (colStart >= 0 && x - lastCol > maxGap)
+                {
+                    if (lastCol - colStart + 1 >= minWidth)
+                        boxes.Add(new Rectangle(colStart, top, lastCol - colStart + 1, bottom - top + 1));
+                    colStart = -1;
+                }
+            }
+            if (colStart >= 0 && lastCol - colStart + 1 >= minWidth)
+                boxes.Add(new Rectangle(colStart, top, lastCol - colStart + 1, bottom - top + 1));
+        }
+
+        return boxes;
+    }
+
     public void Dispose() => _pythonBridge.Dispose();
 
     // -- OCR text matching --

src/Poe2Trade.Screen/TemplateMatchHandler.cs

@@ -27,27 +27,56 @@ class TemplateMatchHandler
         else
             screenMat.CopyTo(screenBgr);
 
-        // Template must fit within screenshot
-        if (template.Rows > screenBgr.Rows || template.Cols > screenBgr.Cols)
+        // Try exact size first (fast path)
+        var exact = MatchAtScale(screenBgr, template, region, 1.0, threshold);
+        if (exact is { Confidence: > 0.95 })
+            return exact;
+
+        // Multi-scale: resize template from 50% to 150% in steps of 10%
+        TemplateMatchResult? best = exact;
+        for (var pct = 50; pct <= 150; pct += 10)
+        {
+            var scale = pct / 100.0;
+            if (pct == 100) continue; // already tried
+
+            var match = MatchAtScale(screenBgr, template, region, scale, threshold);
+            if (match != null && (best == null || match.Confidence > best.Confidence))
+            {
+                best = match;
+                if (best.Confidence > 0.95) break;
+            }
+        }
+
+        return best;
+    }
+
+    private static TemplateMatchResult? MatchAtScale(Mat screen, Mat template,
+        Region? region, double scale, double threshold)
+    {
+        using var scaled = scale == 1.0 ? template.Clone()
+            : template.Resize(new OpenCvSharp.Size(
+                Math.Max(1, (int)(template.Cols * scale)),
+                Math.Max(1, (int)(template.Rows * scale))));
+
+        if (scaled.Rows > screen.Rows || scaled.Cols > screen.Cols)
             return null;
 
         using var result = new Mat();
-        Cv2.MatchTemplate(screenBgr, template, result, TemplateMatchModes.CCoeffNormed);
-
+        Cv2.MatchTemplate(screen, scaled, result, TemplateMatchModes.CCoeffNormed);
         Cv2.MinMaxLoc(result, out _, out double maxVal, out _, out OpenCvSharp.Point maxLoc);
 
         if (maxVal < threshold)
             return null;
 
-        int offsetX = region?.X ?? 0;
-        int offsetY = region?.Y ?? 0;
+        var offsetX = region?.X ?? 0;
+        var offsetY = region?.Y ?? 0;
 
         return new TemplateMatchResult
         {
-            X = offsetX + maxLoc.X + template.Cols / 2,
-            Y = offsetY + maxLoc.Y + template.Rows / 2,
-            Width = template.Cols,
-            Height = template.Rows,
+            X = offsetX + maxLoc.X + scaled.Cols / 2,
+            Y = offsetY + maxLoc.Y + scaled.Rows / 2,
+            Width = scaled.Cols,
+            Height = scaled.Rows,
             Confidence = maxVal,
         };
     }

src/Poe2Trade.Ui/Converters/ValueConverters.cs

@@ -103,6 +103,7 @@ public class MapRequirementsConverter : IValueConverter
             MapType.TrialOfChaos => "Trial Token x1",
             MapType.Temple => "Identity Scroll x20",
             MapType.Endgame => "Identity Scroll x20",
+            MapType.Kulemak => "Invitation x1",
             _ => "",
         };
     }

src/Poe2Trade.Ui/Overlay/D2dOverlay.cs

@@ -181,13 +181,16 @@ public sealed class D2dOverlay
     private OverlayState BuildState(double fps, RenderTiming timing)
     {
         var detection = _bot.EnemyDetector.Latest;
+        var bossDetection = _bot.BossDetector.Latest;
         return new OverlayState(
             Enemies: detection.Enemies,
+            Bosses: bossDetection.Bosses,
             InferenceMs: detection.InferenceMs,
             Hud: _bot.HudReader.Current,
             NavState: _bot.Navigation.State,
             NavPosition: _bot.Navigation.Position,
             IsExploring: _bot.Navigation.IsExploring,
+            ShowHudDebug: _bot.Store.Settings.ShowHudDebug,
             Fps: fps,
             Timing: timing);
     }

src/Poe2Trade.Ui/Overlay/D2dRenderContext.cs

@@ -24,11 +24,13 @@ public sealed class D2dRenderContext : IDisposable
     // Pre-created brushes
     public ID2D1SolidColorBrush Red { get; private set; } = null!;
     public ID2D1SolidColorBrush Yellow { get; private set; } = null!;
+    public ID2D1SolidColorBrush Cyan { get; private set; } = null!;
     public ID2D1SolidColorBrush Green { get; private set; } = null!;
     public ID2D1SolidColorBrush White { get; private set; } = null!;
     public ID2D1SolidColorBrush Gray { get; private set; } = null!;
     public ID2D1SolidColorBrush LifeBrush { get; private set; } = null!;
     public ID2D1SolidColorBrush ManaBrush { get; private set; } = null!;
+    public ID2D1SolidColorBrush ShieldBrush { get; private set; } = null!;
     public ID2D1SolidColorBrush BarBgBrush { get; private set; } = null!;
     public ID2D1SolidColorBrush LabelBgBrush { get; private set; } = null!;
     public ID2D1SolidColorBrush DebugTextBrush { get; private set; } = null!;
@@ -79,11 +81,13 @@ public sealed class D2dRenderContext : IDisposable
     {
         Red = RenderTarget.CreateSolidColorBrush(new Color4(1f, 0f, 0f, 1f));
         Yellow = RenderTarget.CreateSolidColorBrush(new Color4(1f, 1f, 0f, 1f));
+        Cyan = RenderTarget.CreateSolidColorBrush(new Color4(0f, 1f, 1f, 1f));
         Green = RenderTarget.CreateSolidColorBrush(new Color4(0.31f, 1f, 0.31f, 1f));  // 80,255,80
         White = RenderTarget.CreateSolidColorBrush(new Color4(1f, 1f, 1f, 1f));
         Gray = RenderTarget.CreateSolidColorBrush(new Color4(0.5f, 0.5f, 0.5f, 1f));
         LifeBrush = RenderTarget.CreateSolidColorBrush(new Color4(200 / 255f, 40 / 255f, 40 / 255f, 1f));
         ManaBrush = RenderTarget.CreateSolidColorBrush(new Color4(40 / 255f, 80 / 255f, 200 / 255f, 1f));
+        ShieldBrush = RenderTarget.CreateSolidColorBrush(new Color4(100 / 255f, 180 / 255f, 220 / 255f, 1f));
         BarBgBrush = RenderTarget.CreateSolidColorBrush(new Color4(20 / 255f, 20 / 255f, 20 / 255f, 140 / 255f));
         LabelBgBrush = RenderTarget.CreateSolidColorBrush(new Color4(0f, 0f, 0f, 160 / 255f));
         DebugTextBrush = RenderTarget.CreateSolidColorBrush(new Color4(80 / 255f, 1f, 80 / 255f, 1f));
@@ -95,11 +99,13 @@ public sealed class D2dRenderContext : IDisposable
     {
         Red?.Dispose();
         Yellow?.Dispose();
+        Cyan?.Dispose();
         Green?.Dispose();
         White?.Dispose();
         Gray?.Dispose();
         LifeBrush?.Dispose();
         ManaBrush?.Dispose();
+        ShieldBrush?.Dispose();
         BarBgBrush?.Dispose();
         LabelBgBrush?.Dispose();
         DebugTextBrush?.Dispose();

src/Poe2Trade.Ui/Overlay/IOverlayLayer.cs

@@ -5,11 +5,13 @@ namespace Poe2Trade.Ui.Overlay;
 
 public record OverlayState(
     IReadOnlyList<DetectedEnemy> Enemies,
+    IReadOnlyList<DetectedBoss> Bosses,
     float InferenceMs,
     HudSnapshot? Hud,
     NavigationState NavState,
     MapPosition NavPosition,
     bool IsExploring,
+    bool ShowHudDebug,
     double Fps,
     RenderTiming? Timing);
 

src/Poe2Trade.Ui/Overlay/Layers/D2dDebugTextLayer.cs

@@ -27,7 +27,7 @@ internal sealed class D2dDebugTextLayer : ID2dOverlayLayer, IDisposable
         UpdateCache(ctx, _left, ref lc, $"Pos: ({state.NavPosition.X:F0}, {state.NavPosition.Y:F0})", ctx.DebugTextBrush);
         UpdateCache(ctx, _left, ref lc, $"Enemies: {state.Enemies.Count}  YOLO: {state.InferenceMs:F1}ms", ctx.DebugTextBrush);
         if (state.Hud is { Timestamp: > 0 } hud)
-            UpdateCache(ctx, _left, ref lc, $"HP: {hud.LifePct:P0}  MP: {hud.ManaPct:P0}", ctx.DebugTextBrush);
+            UpdateCache(ctx, _left, ref lc, $"HP: {hud.LifePct:P0}  ES: {hud.ShieldPct:P0}  MP: {hud.ManaPct:P0}", ctx.DebugTextBrush);
 
         // Right column: timing
         if (state.Timing != null)

src/Poe2Trade.Ui/Overlay/Layers/D2dEnemyBoxLayer.cs

@@ -11,8 +11,13 @@ internal sealed class D2dEnemyBoxLayer : ID2dOverlayLayer, IDisposable
     private readonly IDWriteTextLayout[] _confirmedLabels = new IDWriteTextLayout[101];
     private readonly IDWriteTextLayout[] _unconfirmedLabels = new IDWriteTextLayout[101];
 
+    // Boss labels: cached by "classname NN%" string
+    private readonly Dictionary<string, IDWriteTextLayout> _bossLabels = new();
+    private readonly D2dRenderContext _ctx;
+
     public D2dEnemyBoxLayer(D2dRenderContext ctx)
     {
+        _ctx = ctx;
         for (int i = 0; i <= 100; i++)
         {
             var text = $"{i}%";
@@ -41,18 +46,43 @@ internal sealed class D2dEnemyBoxLayer : ID2dOverlayLayer, IDisposable
             var labelX = enemy.X;
             var labelY = enemy.Y - m.Height - 2;
 
-            // Background behind label
             rt.FillRectangle(
                 new RectangleF(labelX - 1, labelY - 1, m.Width + 2, m.Height + 2),
                 ctx.LabelBgBrush);
 
             rt.DrawTextLayout(new System.Numerics.Vector2(labelX, labelY), layout, textBrush);
         }
+
+        // Boss bounding boxes (cyan)
+        foreach (var boss in state.Bosses)
+        {
+            var rect = new RectangleF(boss.X, boss.Y, boss.Width, boss.Height);
+            rt.DrawRectangle(rect, ctx.Cyan, 3f);
+
+            var pct = Math.Clamp((int)(boss.Confidence * 100), 0, 100);
+            var key = $"{boss.ClassName} {pct}%";
+            if (!_bossLabels.TryGetValue(key, out var layout))
+            {
+                layout = _ctx.CreateTextLayout(key, _ctx.LabelFormat);
+                _bossLabels[key] = layout;
+            }
+
+            var m = layout.Metrics;
+            var labelX = boss.X;
+            var labelY = boss.Y - m.Height - 2;
+
+            rt.FillRectangle(
+                new RectangleF(labelX - 1, labelY - 1, m.Width + 2, m.Height + 2),
+                ctx.LabelBgBrush);
+
+            rt.DrawTextLayout(new System.Numerics.Vector2(labelX, labelY), layout, ctx.Cyan);
+        }
     }
 
     public void Dispose()
     {
         foreach (var l in _confirmedLabels) l?.Dispose();
         foreach (var l in _unconfirmedLabels) l?.Dispose();
+        foreach (var l in _bossLabels.Values) l?.Dispose();
     }
 }

src/Poe2Trade.Ui/Overlay/Layers/D2dHudInfoLayer.cs

@@ -7,15 +7,20 @@ namespace Poe2Trade.Ui.Overlay.Layers;
 
 internal sealed class D2dHudInfoLayer : ID2dOverlayLayer, IDisposable
 {
-    private const float BarWidth = 200;
+    private const float BarWidth = 160;
     private const float BarHeight = 16;
-    private const float BarY = 1300;
-    private const float LifeBarX = 1130;
-    private const float ManaBarX = 1230;
+    private const float BarGap = 8;
+    private const float BarY = 1416; // near bottom of 1440
+
+    // 3 bars centered: total = 160*3 + 8*2 = 496, start = (2560-496)/2 = 1032
+    private const float LifeBarX = 1032;
+    private const float ShieldBarX = LifeBarX + BarWidth + BarGap;
+    private const float ManaBarX = ShieldBarX + BarWidth + BarGap;
 
-    // Cached bar value layouts
     private string? _lifeLabel;
     private IDWriteTextLayout? _lifeLayout;
+    private string? _shieldLabel;
+    private IDWriteTextLayout? _shieldLayout;
     private string? _manaLabel;
     private IDWriteTextLayout? _manaLayout;
 
@@ -23,14 +28,24 @@ internal sealed class D2dHudInfoLayer : ID2dOverlayLayer, IDisposable
     {
         if (state.Hud == null || state.Hud.Timestamp == 0) return;
 
-        DrawBar(ctx, LifeBarX, BarY, state.Hud.LifePct, ctx.LifeBrush, state.Hud.Life,
+        DrawBar(ctx, LifeBarX, BarY, state.Hud.LifePct, ctx.LifeBrush,
             ref _lifeLabel, ref _lifeLayout);
-        DrawBar(ctx, ManaBarX, BarY, state.Hud.ManaPct, ctx.ManaBrush, state.Hud.Mana,
+        DrawBar(ctx, ShieldBarX, BarY, state.Hud.ShieldPct, ctx.ShieldBrush,
+            ref _shieldLabel, ref _shieldLayout);
+        DrawBar(ctx, ManaBarX, BarY, state.Hud.ManaPct, ctx.ManaBrush,
             ref _manaLabel, ref _manaLayout);
+
+        // DEBUG: draw sampling lines
+        if (state.ShowHudDebug)
+        {
+            DrawShieldArc(ctx);
+            DrawSampleLine(ctx, 167, 1185, 1411, ctx.LifeBrush);  // life
+            DrawSampleLine(ctx, 2394, 1185, 1411, ctx.ManaBrush);  // mana
+        }
     }
 
     private static void DrawBar(D2dRenderContext ctx, float x, float y, float pct,
-        ID2D1SolidColorBrush fillBrush, Screen.HudValues? values,
+        ID2D1SolidColorBrush fillBrush,
         ref string? cachedLabel, ref IDWriteTextLayout? cachedLayout)
     {
         var rt = ctx.RenderTarget;
@@ -42,14 +57,13 @@ internal sealed class D2dHudInfoLayer : ID2dOverlayLayer, IDisposable
         rt.DrawRectangle(outer, ctx.Gray, 1f);
 
         // Fill
-        var fillWidth = BarWidth * Math.Clamp(pct, 0, 1);
+        var clamped = Math.Clamp(pct, 0, 1);
+        var fillWidth = BarWidth * clamped;
         if (fillWidth > 0)
             rt.FillRectangle(new RectangleF(x, y, fillWidth, BarHeight), fillBrush);
 
-        // Value text
-        if (values != null)
-        {
-            var label = $"{values.Current}/{values.Max}";
+        // Percentage text
+        var label = $"{clamped:P0}";
         if (label != cachedLabel)
         {
             cachedLayout?.Dispose();
@@ -62,11 +76,38 @@ internal sealed class D2dHudInfoLayer : ID2dOverlayLayer, IDisposable
         var textY = y + (BarHeight - m.Height) / 2;
         rt.DrawTextLayout(new System.Numerics.Vector2(textX, textY), cachedLayout, ctx.White);
     }
+
+    private static void DrawShieldArc(D2dRenderContext ctx)
+    {
+        const float cx = 170, cy = 1298, r = 130;
+        var rt = ctx.RenderTarget;
+
+        // Draw dots along the right semicircle (-90° to +90°)
+        for (int deg = -90; deg <= 90; deg += 2)
+        {
+            var rad = deg * Math.PI / 180.0;
+            var x = (float)(cx + r * Math.Cos(rad));
+            var y = (float)(cy + r * Math.Sin(rad));
+            rt.FillRectangle(new RectangleF(x - 1, y - 1, 3, 3), ctx.Yellow);
+        }
+
+        // Draw center cross
+        rt.FillRectangle(new RectangleF(cx - 3, cy - 1, 7, 3), ctx.Yellow);
+        rt.FillRectangle(new RectangleF(cx - 1, cy - 3, 3, 7), ctx.Yellow);
+    }
+
+    private static void DrawSampleLine(D2dRenderContext ctx, float x, float yTop, float yBot, ID2D1SolidColorBrush brush)
+    {
+        ctx.RenderTarget.DrawLine(
+            new System.Numerics.Vector2(x, yTop),
+            new System.Numerics.Vector2(x, yBot),
+            brush, 2f);
     }
 
     public void Dispose()
     {
         _lifeLayout?.Dispose();
+        _shieldLayout?.Dispose();
         _manaLayout?.Dispose();
     }
 }

src/Poe2Trade.Ui/ViewModels/DebugViewModel.cs

@@ -12,6 +12,11 @@ public partial class DebugViewModel : ObservableObject
 
     [ObservableProperty] private string _findText = "";
     [ObservableProperty] private string _debugResult = "";
+    [ObservableProperty]
+    [NotifyPropertyChangedFor(nameof(BurstCaptureLabel))]
+    private bool _isBurstCapturing;
+
+    public string BurstCaptureLabel => IsBurstCapturing ? "Stop Capture" : "Burst Capture";
     [ObservableProperty] private string _selectedGridLayout = "inventory";
     [ObservableProperty] private decimal? _clickX;
     [ObservableProperty] private decimal? _clickY;
@@ -148,6 +153,15 @@ public partial class DebugViewModel : ObservableObject
         }
     }
 
+    [RelayCommand]
+    private void DetectionStatus()
+    {
+        var enemy = _bot.EnemyDetector.Latest;
+        var boss = _bot.BossDetector.Latest;
+        DebugResult = $"Enemy: enabled={_bot.EnemyDetector.Enabled}, count={enemy.Enemies.Count}, ms={enemy.InferenceMs:F1}\n" +
+                      $"Boss: enabled={_bot.BossDetector.Enabled}, count={boss.Bosses.Count}, ms={boss.InferenceMs:F1}";
+    }
+
     [RelayCommand]
     private void SaveMinimapDebug()
     {
@@ -187,6 +201,116 @@ public partial class DebugViewModel : ObservableObject
         catch (Exception ex) { DebugResult = $"Failed: {ex.Message}"; }
     }
 
+    [RelayCommand]
+    private async Task AttackTest()
+    {
+        const int VK_Q = 0x51;
+        const int DurationMs = 30_000;
+        const int PollMs = 100;
+        const float ManaLow = 0.50f;
+        const float ManaResume = 0.75f;
+        const float ManaQThreshold = 0.60f;
+        const int QPhaseStableMs = 2_000;
+        const int QCooldownMs = 5_000;
+
+        var rng = new Random();
+        try
+        {
+            DebugResult = "Attack test: focusing game...";
+            await _bot.Game.FocusGame();
+            await _bot.Game.MoveMouseTo(1280, 720);
+            await Task.Delay(300);
+
+            var holding = true;
+            _bot.Game.LeftMouseDown();
+            _bot.Game.RightMouseDown();
+
+            var sw = System.Diagnostics.Stopwatch.StartNew();
+            var manaStableStart = (long?)null;
+            var qPhase = false;
+            long lastQTime = -QCooldownMs;
+
+            while (sw.ElapsedMilliseconds < DurationMs)
+            {
+                var mana = _bot.HudReader.Current.ManaPct;
+                var elapsed = sw.ElapsedMilliseconds;
+
+                // Mana management
+                if (holding && mana < ManaLow)
+                {
+                    _bot.Game.LeftMouseUp();
+                    _bot.Game.RightMouseUp();
+                    holding = false;
+                    DebugResult = $"Attack test: mana low ({mana:P0}), waiting...";
+                    await Task.Delay(50 + rng.Next(100));
+                }
+                else if (!holding && mana >= ManaResume)
+                {
+                    await Task.Delay(50 + rng.Next(100));
+                    _bot.Game.LeftMouseDown();
+                    _bot.Game.RightMouseDown();
+                    holding = true;
+                    DebugResult = $"Attack test: mana recovered ({mana:P0}), attacking...";
+                }
+
+                // Track Q phase activation
+                if (!qPhase)
+                {
+                    if (mana > ManaQThreshold)
+                    {
+                        manaStableStart ??= elapsed;
+                        if (elapsed - manaStableStart.Value >= QPhaseStableMs)
+                        {
+                            qPhase = true;
+                            DebugResult = "Attack test: Q phase activated";
+                        }
+                    }
+                    else
+                    {
+                        manaStableStart = null;
+                    }
+                }
+
+                // Press Q+E periodically
+                if (qPhase && holding && elapsed - lastQTime >= QCooldownMs)
+                {
+                    await _bot.Game.PressKey(VK_Q);
+                    await Task.Delay(100 + rng.Next(100));
+                    _bot.Game.LeftMouseUp();
+                    _bot.Game.RightMouseUp();
+                    await Task.Delay(200 + rng.Next(100));
+                    _bot.Game.LeftMouseDown();
+                    _bot.Game.RightMouseDown();
+                    lastQTime = elapsed;
+                }
+
+                await Task.Delay(PollMs + rng.Next(100));
+            }
+
+            DebugResult = "Attack test: completed (30s)";
+        }
+        catch (Exception ex)
+        {
+            DebugResult = $"Attack test failed: {ex.Message}";
+            Log.Error(ex, "Attack test failed");
+        }
+        finally
+        {
+            _bot.Game.LeftMouseUp();
+            _bot.Game.RightMouseUp();
+        }
+    }
+
+    [RelayCommand]
+    private void ToggleBurstCapture()
+    {
+        IsBurstCapturing = !IsBurstCapturing;
+        _bot.FrameSaver.BurstMode = IsBurstCapturing;
+        DebugResult = IsBurstCapturing
+            ? "Burst capture ON — saving every 200ms to training-data/raw/"
+            : $"Burst capture OFF — {_bot.FrameSaver.SavedCount} frames saved";
+    }
+
     [RelayCommand]
     private async Task ClickSalvage()
     {

src/Poe2Trade.Ui/ViewModels/MainWindowViewModel.cs

@@ -194,11 +194,12 @@ public partial class MainWindowViewModel : ObservableObject
                 {
                     Log.Information("END pressed — emergency stop");
                     await _bot.Navigation.Stop();
+                    _bot.BossRunExecutor.Stop();
                     _bot.Pause();
                     Avalonia.Threading.Dispatcher.UIThread.Post(() =>
                     {
                         IsPaused = true;
-                        State = "Stopped (F12)";
+                        State = "Stopped (END)";
                     });
                 }
                 f12WasDown = endDown;

src/Poe2Trade.Ui/ViewModels/MappingViewModel.cs

@@ -1,3 +1,4 @@
+using System.Collections.ObjectModel;
 using Timer = System.Timers.Timer;
 using Avalonia.Threading;
 using CommunityToolkit.Mvvm.ComponentModel;
@@ -19,16 +20,33 @@ public partial class MappingViewModel : ObservableObject, IDisposable
     [ObservableProperty] private int _enemiesDetected;
     [ObservableProperty] private float _inferenceMs;
     [ObservableProperty] private bool _hasModel;
+    [ObservableProperty] private bool _isKulemak;
+    [ObservableProperty] private bool _kulemakEnabled;
+    [ObservableProperty] private string _invitationTabPath = "";
+    [ObservableProperty] private string _lootTabPath = "";
+    [ObservableProperty] private decimal? _invitationCount = 15;
 
-    public static MapType[] MapTypes { get; } = [MapType.TrialOfChaos, MapType.Temple, MapType.Endgame];
+    public static MapType[] MapTypes { get; } = [MapType.TrialOfChaos, MapType.Temple, MapType.Endgame, MapType.Kulemak];
+    public ObservableCollection<string> StashTabPaths { get; } = [];
 
-    private static readonly string ModelPath = Path.GetFullPath("tools/python-detect/models/enemy-v1.pt");
+    private static readonly string ModelsDir = Path.GetFullPath("tools/python-detect/models");
+
+    private static bool AnyModelExists() =>
+        Directory.Exists(ModelsDir) && Directory.GetFiles(ModelsDir, "*.pt").Length > 0;
 
     public MappingViewModel(BotOrchestrator bot)
     {
         _bot = bot;
         _selectedMapType = bot.Config.MapType;
-        _hasModel = File.Exists(ModelPath);
+        _isKulemak = _selectedMapType == MapType.Kulemak;
+        _hasModel = AnyModelExists();
+
+        // Load Kulemak settings
+        _kulemakEnabled = bot.Config.Kulemak.Enabled;
+        _invitationTabPath = bot.Config.Kulemak.InvitationTabPath;
+        _lootTabPath = bot.Config.Kulemak.LootTabPath;
+        _invitationCount = bot.Config.Kulemak.InvitationCount;
+        LoadStashTabPaths();
 
         _bot.EnemyDetector.DetectionUpdated += OnDetectionUpdated;
 
@@ -40,6 +58,47 @@ public partial class MappingViewModel : ObservableObject, IDisposable
     partial void OnSelectedMapTypeChanged(MapType value)
     {
         _bot.Store.UpdateSettings(s => s.MapType = value);
+        IsKulemak = value == MapType.Kulemak;
+    }
+
+    partial void OnKulemakEnabledChanged(bool value)
+    {
+        _bot.Store.UpdateSettings(s => s.Kulemak.Enabled = value);
+    }
+
+    partial void OnInvitationTabPathChanged(string value)
+    {
+        _bot.Store.UpdateSettings(s => s.Kulemak.InvitationTabPath = value);
+    }
+
+    partial void OnLootTabPathChanged(string value)
+    {
+        _bot.Store.UpdateSettings(s => s.Kulemak.LootTabPath = value);
+    }
+
+    partial void OnInvitationCountChanged(decimal? value)
+    {
+        _bot.Store.UpdateSettings(s => s.Kulemak.InvitationCount = (int)(value ?? 15));
+    }
+
+    private void LoadStashTabPaths()
+    {
+        StashTabPaths.Clear();
+        StashTabPaths.Add(""); // empty = not configured
+        var s = _bot.Store.Settings;
+        if (s.StashCalibration == null) return;
+        foreach (var tab in s.StashCalibration.Tabs)
+        {
+            if (tab.IsFolder)
+            {
+                foreach (var sub in tab.SubTabs)
+                    StashTabPaths.Add($"{tab.Name}/{sub.Name}");
+            }
+            else
+            {
+                StashTabPaths.Add(tab.Name);
+            }
+        }
     }
 
     partial void OnIsFrameSaverEnabledChanged(bool value)
@@ -50,6 +109,7 @@ public partial class MappingViewModel : ObservableObject, IDisposable
     partial void OnIsDetectionEnabledChanged(bool value)
     {
         _bot.EnemyDetector.Enabled = value;
+        _bot.BossDetector.Enabled = value;
     }
 
     private void OnDetectionUpdated(DetectionSnapshot snapshot)
@@ -64,7 +124,7 @@ public partial class MappingViewModel : ObservableObject, IDisposable
     private void RefreshStats()
     {
         FramesSaved = _bot.FrameSaver.SavedCount;
-        HasModel = File.Exists(ModelPath);
+        HasModel = AnyModelExists();
     }
 
     public void Dispose()

src/Poe2Trade.Ui/ViewModels/SettingsViewModel.cs

@@ -19,6 +19,7 @@ public partial class SettingsViewModel : ObservableObject
     [ObservableProperty] private decimal? _waitForMoreItemsMs = 20000;
     [ObservableProperty] private decimal? _betweenTradesDelayMs = 5000;
     [ObservableProperty] private bool _headless = true;
+    [ObservableProperty] private bool _showHudDebug;
     [ObservableProperty] private bool _isSaved;
     [ObservableProperty] private string _calibrationStatus = "";
     [ObservableProperty] private string _stashCalibratedAt = "";
@@ -44,6 +45,7 @@ public partial class SettingsViewModel : ObservableObject
         WaitForMoreItemsMs = s.WaitForMoreItemsMs;
         BetweenTradesDelayMs = s.BetweenTradesDelayMs;
         Headless = s.Headless;
+        ShowHudDebug = s.ShowHudDebug;
     }
 
     private void LoadTabs()
@@ -94,6 +96,7 @@ public partial class SettingsViewModel : ObservableObject
             s.WaitForMoreItemsMs = (int)(WaitForMoreItemsMs ?? 20000);
             s.BetweenTradesDelayMs = (int)(BetweenTradesDelayMs ?? 5000);
             s.Headless = Headless;
+            s.ShowHudDebug = ShowHudDebug;
         });
 
         IsSaved = true;
@@ -206,4 +209,5 @@ public partial class SettingsViewModel : ObservableObject
     partial void OnWaitForMoreItemsMsChanged(decimal? value) => IsSaved = false;
     partial void OnBetweenTradesDelayMsChanged(decimal? value) => IsSaved = false;
     partial void OnHeadlessChanged(bool value) => IsSaved = false;
+    partial void OnShowHudDebugChanged(bool value) => IsSaved = false;
 }

src/Poe2Trade.Ui/Views/MainWindow.axaml

@@ -233,6 +233,36 @@
                             </StackPanel>
                         </Border>
 
+                        <!-- Kulemak Settings (visible when Kulemak selected) -->
+                        <Border IsVisible="{Binding IsKulemak}" Background="#161b22"
+                                BorderBrush="#30363d" BorderThickness="1"
+                                CornerRadius="8" Padding="10">
+                            <StackPanel Spacing="8">
+                                <TextBlock Text="KULEMAK" FontSize="11" FontWeight="SemiBold"
+                                           Foreground="#8b949e" />
+                                <CheckBox IsChecked="{Binding KulemakEnabled}" Content="Enabled"
+                                          Foreground="#e6edf3" />
+                                <DockPanel>
+                                    <TextBlock Text="Invitation Tab" FontSize="11" Foreground="#8b949e"
+                                               Width="140" VerticalAlignment="Center" />
+                                    <ComboBox ItemsSource="{Binding StashTabPaths}"
+                                              SelectedItem="{Binding InvitationTabPath}" />
+                                </DockPanel>
+                                <DockPanel>
+                                    <TextBlock Text="Loot Tab" FontSize="11" Foreground="#8b949e"
+                                               Width="140" VerticalAlignment="Center" />
+                                    <ComboBox ItemsSource="{Binding StashTabPaths}"
+                                              SelectedItem="{Binding LootTabPath}" />
+                                </DockPanel>
+                                <DockPanel>
+                                    <TextBlock Text="Invitations per batch" FontSize="11" Foreground="#8b949e"
+                                               Width="140" VerticalAlignment="Center" />
+                                    <NumericUpDown Value="{Binding InvitationCount}"
+                                                   Minimum="1" Maximum="60" Increment="1" Width="100" />
+                                </DockPanel>
+                            </StackPanel>
+                        </Border>
+
                         <!-- Training Data -->
                         <Border Background="#161b22" BorderBrush="#30363d" BorderThickness="1"
                                 CornerRadius="8" Padding="10">
@@ -298,6 +328,10 @@
                                     <Button Content="ANGE" Command="{Binding ClickAngeCommand}" />
                                     <Button Content="STASH" Command="{Binding ClickStashCommand}" />
                                     <Button Content="SALVAGE" Command="{Binding ClickSalvageCommand}" />
+                                    <Button Content="Attack Test" Command="{Binding AttackTestCommand}" />
+                                    <Button Content="Detection?" Command="{Binding DetectionStatusCommand}" />
+                                    <Button Content="{Binding BurstCaptureLabel}"
+                                            Command="{Binding ToggleBurstCaptureCommand}" />
                                 </StackPanel>
                             </StackPanel>
                         </Border>
@@ -408,6 +442,8 @@
 
                                 <CheckBox IsChecked="{Binding Headless}" Content="Headless browser"
                                           Foreground="#e6edf3" Margin="0,4,0,0" />
+                                <CheckBox IsChecked="{Binding ShowHudDebug}" Content="Show HUD debug overlay"
+                                          Foreground="#e6edf3" />
 
                                 <StackPanel Orientation="Horizontal" Spacing="8" Margin="0,2,0,0">
                                     <Button Content="Save Settings" Command="{Binding SaveSettingsCommand}" />
@@ -564,6 +600,7 @@
                                 </ItemsControl>
                             </StackPanel>
                         </Border>
+
                     </StackPanel>
                 </ScrollViewer>
             </TabItem>

tools/python-detect/README.md

@@ -0,0 +1,123 @@
+# YOLO Detection Pipeline
+
+Capture frames → annotate → train → detect live in-game.
+
+## Setup
+
+```bash
+cd tools/python-detect
+python -m venv .venv
+.venv/Scripts/activate        # Windows
+pip install ultralytics opencv-python
+# GPU training (NVIDIA):
+pip install torch torchvision --index-url https://download.pytorch.org/whl/cu128 --force-reinstall
+```
+
+## 1. Capture Frames
+
+In the app Debug tab, click **Burst Capture** during a boss fight. Frames save to `training-data/raw/` every 200ms. Click **Stop Capture** when done.
+
+## 2. Annotate
+
+```bash
+python annotate.py                              # defaults to ../../training-data/raw
+python annotate.py ../../training-data/raw
+
+tools\python-detect\.venv\Scripts\python.exe tools\python-detect\annotate.py training-data\raw
+```
+
+### Toolbar
+
+Clickable buttons at the top of the window:
+
+| Button | Hotkey | Action |
+|---|---|---|
+| Predict | **P** | Run YOLO model on current image to auto-generate boxes |
+| Save+Next | **Space** | Save labels and advance to next image |
+| Filter | **F** | Cycle filter: All → Unlabeled → Labeled → per-class |
+| Undo | **Z** | Undo last change |
+| Del Image | **X** | Delete current image file and its label |
+
+### Controls
+
+| Action | Input |
+|---|---|
+| Draw new box | Left-drag on empty area |
+| Select box | Left-click on box |
+| Move box | Left-drag box body |
+| Resize box | Left-drag corner handle |
+| Cycle class | Right-click on box |
+| Set class | 1-9 keys (selected box or new-box default) |
+| Delete box | Delete / Backspace |
+| Navigate | Left / Right arrow |
+| Deselect | E |
+| Quit | Q / Escape (auto-saves) |
+
+### Predict (P)
+
+Press **P** or click the Predict button to run the current YOLO model (`models/boss-v1.pt`) on the image. It replaces existing boxes with model predictions (undoable with Z). The model lazy-loads on first use.
+
+Workflow: press P to auto-predict → adjust/delete bad boxes → Space to save+next.
+
+### Classes
+
+Edit the `CLASSES` list at the top of `annotate.py` to add new boss types:
+
+```python
+CLASSES = ["kulemak", "arbiter"]
+```
+
+## 3. Split Dataset
+
+Create a train/valid split (85/15) for training. Example structure:
+
+```
+training-data/boss-dataset/
+├── data.yaml
+├── train/
+│   ├── images/
+│   └── labels/
+└── valid/
+    ├── images/
+    └── labels/
+```
+
+`data.yaml`:
+
+```yaml
+train: C:/Users/boki/repos/poe2trade/training-data/boss-dataset/train/images
+val: C:/Users/boki/repos/poe2trade/training-data/boss-dataset/valid/images
+
+nc: 2
+names: ['kulemak', 'arbiter']
+```
+
+Copy images and their `.txt` label files into the appropriate split directories.
+
+## 4. Train
+
+```bash
+python train.py --data C:/Users/boki/repos/poe2trade/training-data/boss-dataset/data.yaml --name boss-v1 --epochs 100
+```
+
+Options: `--batch 16`, `--imgsz 640`, `--device 0` (GPU) or `--device cpu`.
+
+Best weights are auto-copied to `models/boss-v1.pt`. If ultralytics auto-increments the run name (e.g. `boss-v12`), copy manually:
+
+```bash
+cp runs/detect/boss-v1*/weights/best.pt models/boss-v1.pt
+```
+
+## 5. Live Detection
+
+The C# app loads `models/boss-v1.pt` via `daemon.py` (JSON stdin/stdout protocol). Enable detection in the Mapping tab. Boss bounding boxes render on the Direct2D overlay in cyan.
+
+## Files
+
+| File | Purpose |
+|---|---|
+| `annotate.py` | Interactive annotator with predict, select/move/resize, tag, filter |
+| `train.py` | Train YOLOv11n, copies best weights to `models/` |
+| `daemon.py` | Persistent inference daemon (managed by C# `PythonDetectBridge`) |
+| `fix_labels.py` | One-time fix for labels generated with the old buggy annotator |
+| `models/` | Trained `.pt` weight files |

tools/python-detect/annotate.py

@@ -0,0 +1,760 @@
+"""
+Bounding-box annotator with select / move / resize / tag / filter / predict.
+
+Controls
+--------
+  Left drag (empty area) : draw new box
+  Left click (on box)    : select it
+  Left drag (box body)   : move it
+  Left drag (corner)     : resize it
+  Right-click (on box)   : cycle class
+  1-9                    : set class of selected box (or default new-box class)
+  Delete                 : remove selected box
+  Space / Enter          : save + next image
+  Left / Right arrow     : prev / next image
+  P                      : predict — run YOLO model on current image
+  F                      : cycle filter (All > Unlabeled > Empty > Labeled > per-class)
+  Z                      : undo
+  X                      : delete image file + next
+  E                      : deselect
+  Q / Escape             : quit (auto-saves current)
+
+Toolbar buttons at the top are also clickable.
+Aspect ratio is always preserved (letterboxed).
+Saves YOLO-format .txt labels alongside images.
+"""
+
+import cv2
+import numpy as np
+import os
+import sys
+import glob
+
+# ── Classes ──────────────────────────────────────────────────────
+# Passed in by manage.py via run_annotator(img_dir, classes).
+# Standalone fallback: single-class kulemak.
+DEFAULT_CLASSES = ["kulemak"]
+COLORS = [
+    (0, 255, 255),   # cyan-yellow  (kulemak)
+    (255, 0, 255),   # magenta      (arbiter)
+    (0, 255, 0),     # green
+    (255, 128, 0),   # orange
+    (128, 0, 255),   # purple
+]
+
+HANDLE_R = 7          # corner handle radius (px)
+MIN_BOX  = 0.01       # min normalised box dimension
+PREDICT_CONF = 0.20   # confidence threshold for auto-predict
+
+# Layout
+TOOLBAR_Y = 32        # top of toolbar row (below info line)
+TOOLBAR_H = 30        # toolbar row height
+IMG_TOP   = TOOLBAR_Y + TOOLBAR_H + 4   # image area starts here
+HELP_H    = 22        # reserved at bottom for help text
+
+# Windows arrow / special key codes from cv2.waitKeyEx
+K_LEFT  = 2424832
+K_RIGHT = 2555904
+K_DEL   = 3014656
+
+
+# ── Box dataclass ─────────────────────────────────────────────────
+class Box:
+    __slots__ = ("cx", "cy", "w", "h", "cls_id")
+
+    def __init__(self, cx, cy, w, h, cls_id=0):
+        self.cx, self.cy, self.w, self.h, self.cls_id = cx, cy, w, h, cls_id
+
+    @property
+    def x1(self): return self.cx - self.w / 2
+    @property
+    def y1(self): return self.cy - self.h / 2
+    @property
+    def x2(self): return self.cx + self.w / 2
+    @property
+    def y2(self): return self.cy + self.h / 2
+
+    def set_corners(self, x1, y1, x2, y2):
+        self.cx = (x1 + x2) / 2
+        self.cy = (y1 + y2) / 2
+        self.w  = abs(x2 - x1)
+        self.h  = abs(y2 - y1)
+
+    def contains(self, nx, ny):
+        return self.x1 <= nx <= self.x2 and self.y1 <= ny <= self.y2
+
+    def corner_at(self, nx, ny, thr):
+        for hx, hy, tag in [
+            (self.x1, self.y1, "tl"), (self.x2, self.y1, "tr"),
+            (self.x1, self.y2, "bl"), (self.x2, self.y2, "br"),
+        ]:
+            if abs(nx - hx) < thr and abs(ny - hy) < thr:
+                return tag
+        return None
+
+    def copy(self):
+        return Box(self.cx, self.cy, self.w, self.h, self.cls_id)
+
+
+# ── Toolbar button ────────────────────────────────────────────────
+class Button:
+    __slots__ = ("label", "action", "x1", "y1", "x2", "y2")
+
+    def __init__(self, label, action):
+        self.label = label
+        self.action = action
+        self.x1 = self.y1 = self.x2 = self.y2 = 0
+
+    def hit(self, wx, wy):
+        return self.x1 <= wx <= self.x2 and self.y1 <= wy <= self.y2
+
+
+# ── Main tool ─────────────────────────────────────────────────────
+class Annotator:
+
+    def __init__(self, img_dir, classes=None):
+        self.classes = classes or DEFAULT_CLASSES
+        self.img_dir = os.path.abspath(img_dir)
+        self.all_files = self._scan()
+
+        # filter
+        self.FILTERS = ["all", "unlabeled", "empty", "labeled"] + \
+                       [f"class:{i}" for i in range(len(self.classes))]
+        self.filt_idx = 0
+        self.files = list(self.all_files)
+        self.pos = 0
+
+        # image state
+        self.img    = None
+        self.iw     = 0
+        self.ih     = 0
+        self.boxes  = []
+        self.sel    = -1
+        self.cur_cls = 0
+        self.dirty  = False
+        self.undo_stack = []
+
+        # drag state
+        self.mode     = None
+        self.d_start  = None
+        self.d_anchor = None
+        self.d_orig   = None
+        self.mouse_n  = None
+
+        # display
+        self.WIN = "Annotator"
+        self.ww  = 1600
+        self.wh  = 900
+        self._cache     = None
+        self._cache_key = None
+
+        # toolbar buttons (laid out during _draw)
+        self.buttons = [
+            Button("[P] Predict",   "predict"),
+            Button("[Space] Save+Next", "save_next"),
+            Button("[F] Filter",    "filter"),
+            Button("[Z] Undo",      "undo"),
+            Button("[X] Del Image", "del_img"),
+        ]
+
+        # YOLO model (lazy-loaded)
+        self._model = None
+        self._model_tried = False
+
+        # stats
+        self.n_saved   = 0
+        self.n_deleted = 0
+
+    # ── file scanning ─────────────────────────────────────────────
+
+    def _scan(self):
+        files = []
+        for ext in ("*.jpg", "*.jpeg", "*.png"):
+            files.extend(glob.glob(os.path.join(self.img_dir, ext)))
+        files.sort()
+        return files
+
+    @staticmethod
+    def _lbl(fp):
+        return os.path.splitext(fp)[0] + ".txt"
+
+    @staticmethod
+    def _is_empty_label(lp):
+        """Label file exists but has no boxes (negative example)."""
+        if not os.path.exists(lp):
+            return False
+        with open(lp) as f:
+            return f.read().strip() == ""
+
+    @staticmethod
+    def _has_labels(lp):
+        """Label file exists and contains at least one box."""
+        if not os.path.exists(lp):
+            return False
+        with open(lp) as f:
+            return f.read().strip() != ""
+
+    def _refilter(self):
+        mode = self.FILTERS[self.filt_idx]
+        if mode == "all":
+            self.files = [f for f in self.all_files if os.path.exists(f)]
+        elif mode == "unlabeled":
+            self.files = [f for f in self.all_files
+                          if os.path.exists(f) and not os.path.exists(self._lbl(f))]
+        elif mode == "empty":
+            self.files = [f for f in self.all_files
+                          if os.path.exists(f) and self._is_empty_label(self._lbl(f))]
+        elif mode == "labeled":
+            self.files = [f for f in self.all_files
+                          if os.path.exists(f) and self._has_labels(self._lbl(f))]
+        elif mode.startswith("class:"):
+            cid = int(mode.split(":")[1])
+            self.files = []
+            for f in self.all_files:
+                if not os.path.exists(f):
+                    continue
+                lp = self._lbl(f)
+                if os.path.exists(lp):
+                    with open(lp) as fh:
+                        if any(l.strip().startswith(f"{cid} ") for l in fh):
+                            self.files.append(f)
+        self.pos = max(0, min(self.pos, len(self.files) - 1))
+
+    # ── I/O ───────────────────────────────────────────────────────
+
+    def _load(self):
+        if not self.files:
+            return False
+        self.img = cv2.imread(self.files[self.pos])
+        if self.img is None:
+            return False
+        self.ih, self.iw = self.img.shape[:2]
+        self._cache = None
+        self._load_boxes()
+        self.sel = -1
+        self.dirty = False
+        self.undo_stack.clear()
+        return True
+
+    def _load_boxes(self):
+        self.boxes = []
+        lp = self._lbl(self.files[self.pos])
+        if not os.path.exists(lp):
+            return
+        with open(lp) as f:
+            for line in f:
+                p = line.strip().split()
+                if len(p) >= 5:
+                    self.boxes.append(
+                        Box(float(p[1]), float(p[2]),
+                            float(p[3]), float(p[4]), int(p[0])))
+
+    def _save(self):
+        if not self.files:
+            return
+        lp = self._lbl(self.files[self.pos])
+        with open(lp, "w") as f:
+            for b in self.boxes:
+                f.write(f"{b.cls_id} {b.cx:.6f} {b.cy:.6f} "
+                        f"{b.w:.6f} {b.h:.6f}\n")
+        self.n_saved += 1
+        self.dirty = False
+
+    def _push_undo(self):
+        self.undo_stack.append([b.copy() for b in self.boxes])
+        if len(self.undo_stack) > 50:
+            self.undo_stack.pop(0)
+
+    def _pop_undo(self):
+        if not self.undo_stack:
+            return
+        self.boxes = self.undo_stack.pop()
+        self.sel = -1
+        self.dirty = True
+
+    # ── YOLO predict ──────────────────────────────────────────────
+
+    def _ensure_model(self):
+        if self._model_tried:
+            return self._model is not None
+        self._model_tried = True
+        model_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "models")
+        # Find the latest boss-v*.pt by version number, fallback to any .pt
+        import re
+        best_name, best_ver = None, -1
+        if os.path.isdir(model_dir):
+            for name in os.listdir(model_dir):
+                if not name.endswith(".pt"):
+                    continue
+                m = re.match(r"boss-v(\d+)\.pt$", name)
+                if m and int(m.group(1)) > best_ver:
+                    best_ver = int(m.group(1))
+                    best_name = name
+                elif best_name is None:
+                    best_name = name
+        if best_name:
+            path = os.path.join(model_dir, best_name)
+            print(f"  Loading model: {best_name} ...")
+            from ultralytics import YOLO
+            self._model = YOLO(path)
+            print(f"  Model loaded.")
+            return True
+        print(f"  No .pt model found in {model_dir}")
+        return False
+
+    def _predict(self):
+        if self.img is None or not self.files:
+            return
+        if not self._ensure_model():
+            return
+        self._push_undo()
+        results = self._model(self.files[self.pos], conf=PREDICT_CONF, verbose=False)
+        det = results[0].boxes
+        self.boxes = []
+        for box in det:
+            cls_id = int(box.cls[0])
+            cx, cy, w, h = box.xywhn[0].tolist()
+            conf = box.conf[0].item()
+            self.boxes.append(Box(cx, cy, w, h, cls_id))
+        self.sel = -1
+        self.dirty = True
+        print(f"  Predicted {len(self.boxes)} box(es)")
+
+    # ── coordinate transforms (letterbox) ─────────────────────────
+
+    def _xform(self):
+        """Returns (scale, offset_x, offset_y) for letterbox display."""
+        avail_h = max(1, self.wh - IMG_TOP - HELP_H)
+        s = min(self.ww / self.iw, avail_h / self.ih)
+        dw = int(self.iw * s)
+        dh = int(self.ih * s)
+        ox = (self.ww - dw) // 2
+        oy = IMG_TOP + (avail_h - dh) // 2
+        return s, ox, oy
+
+    def _to_norm(self, wx, wy):
+        s, ox, oy = self._xform()
+        return (wx - ox) / (self.iw * s), (wy - oy) / (self.ih * s)
+
+    def _to_win(self, nx, ny):
+        s, ox, oy = self._xform()
+        return int(nx * self.iw * s + ox), int(ny * self.ih * s + oy)
+
+    def _corner_thr(self):
+        s, _, _ = self._xform()
+        return (HANDLE_R + 4) / (min(self.iw, self.ih) * s)
+
+    # ── hit-test ──────────────────────────────────────────────────
+
+    def _hit(self, nx, ny):
+        thr = self._corner_thr()
+        if 0 <= self.sel < len(self.boxes):
+            b = self.boxes[self.sel]
+            c = b.corner_at(nx, ny, thr)
+            if c:
+                return self.sel, c
+            if b.contains(nx, ny):
+                return self.sel, "inside"
+        for i, b in enumerate(self.boxes):
+            c = b.corner_at(nx, ny, thr)
+            if c:
+                return i, c
+        for i, b in enumerate(self.boxes):
+            if b.contains(nx, ny):
+                return i, "inside"
+        return -1, None
+
+    # ── drawing ───────────────────────────────────────────────────
+
+    def _scaled_base(self):
+        s, ox, oy = self._xform()
+        sz = (int(self.iw * s), int(self.ih * s))
+        key = (sz, self.ww, self.wh)
+        if self._cache is not None and self._cache_key == key:
+            return self._cache.copy(), s, ox, oy
+        canvas = np.zeros((self.wh, self.ww, 3), np.uint8)
+        resized = cv2.resize(self.img, sz, interpolation=cv2.INTER_AREA)
+        canvas[oy:oy + sz[1], ox:ox + sz[0]] = resized
+        self._cache = canvas
+        self._cache_key = key
+        return canvas.copy(), s, ox, oy
+
+    def _draw(self):
+        if self.img is None:
+            canvas = np.zeros((self.wh, self.ww, 3), np.uint8)
+            cv2.putText(canvas, "No images", (self.ww // 2 - 60, self.wh // 2),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.7, (128, 128, 128), 1)
+            cv2.imshow(self.WIN, canvas)
+            return
+
+        canvas, s, ox, oy = self._scaled_base()
+
+        # ── Annotation boxes ──
+        for i, b in enumerate(self.boxes):
+            col = COLORS[b.cls_id % len(COLORS)]
+            is_sel = i == self.sel
+            p1 = self._to_win(b.x1, b.y1)
+            p2 = self._to_win(b.x2, b.y2)
+            cv2.rectangle(canvas, p1, p2, col, 3 if is_sel else 2)
+            name = self.classes[b.cls_id] if b.cls_id < len(self.classes) else f"c{b.cls_id}"
+            (tw, th), _ = cv2.getTextSize(name, cv2.FONT_HERSHEY_SIMPLEX, 0.55, 1)
+            cv2.rectangle(canvas, (p1[0], p1[1] - th - 8),
+                          (p1[0] + tw + 6, p1[1]), col, -1)
+            cv2.putText(canvas, name, (p1[0] + 3, p1[1] - 5),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.55, (0, 0, 0), 1)
+            if is_sel:
+                for hx, hy in [p1, (p2[0], p1[1]), (p1[0], p2[1]), p2]:
+                    cv2.circle(canvas, (hx, hy), HANDLE_R, (255, 255, 255), -1)
+                    cv2.circle(canvas, (hx, hy), HANDLE_R, col, 2)
+
+        # rubber-band
+        if self.mode == "draw" and self.d_start and self.mouse_n:
+            col = COLORS[self.cur_cls % len(COLORS)]
+            cv2.rectangle(canvas,
+                          self._to_win(*self.d_start),
+                          self._to_win(*self.mouse_n), col, 2)
+
+        # ── HUD info line ──
+        if self.files:
+            fname = os.path.basename(self.files[self.pos])
+            n = len(self.files)
+            filt = self.FILTERS[self.filt_idx]
+            cname = self.classes[self.cur_cls] if self.cur_cls < len(self.classes) \
+                else f"c{self.cur_cls}"
+            info = (f"[{self.pos + 1}/{n}]  {fname}  |  "
+                    f"filter: {filt}  |  new class: {cname}  |  "
+                    f"boxes: {len(self.boxes)}")
+            if self.dirty:
+                info += "  *"
+            cv2.putText(canvas, info, (10, 22),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.5, (220, 220, 220), 1)
+
+        # class legend (top-right)
+        for i, c in enumerate(self.classes):
+            txt = f"{i + 1}: {c}"
+            (tw, _), _ = cv2.getTextSize(txt, cv2.FONT_HERSHEY_SIMPLEX, 0.5, 1)
+            cv2.putText(canvas, txt,
+                        (self.ww - tw - 12, 22 + i * 20),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.5,
+                        COLORS[i % len(COLORS)], 1)
+
+        # ── Toolbar buttons ──
+        bx = 10
+        for btn in self.buttons:
+            (tw, th), _ = cv2.getTextSize(btn.label, cv2.FONT_HERSHEY_SIMPLEX, 0.45, 1)
+            bw = tw + 16
+            bh = TOOLBAR_H - 4
+            btn.x1 = bx
+            btn.y1 = TOOLBAR_Y
+            btn.x2 = bx + bw
+            btn.y2 = TOOLBAR_Y + bh
+            # button bg
+            cv2.rectangle(canvas, (btn.x1, btn.y1), (btn.x2, btn.y2),
+                          (60, 60, 60), -1)
+            cv2.rectangle(canvas, (btn.x1, btn.y1), (btn.x2, btn.y2),
+                          (140, 140, 140), 1)
+            # button text
+            cv2.putText(canvas, btn.label,
+                        (bx + 8, TOOLBAR_Y + bh - 7),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.45, (220, 220, 220), 1)
+            bx = btn.x2 + 6
+
+        # ── Help bar (bottom) ──
+        cv2.putText(
+            canvas,
+            "drag=draw | click=select | drag=move/resize | RClick=cycle class"
+            " | 1-9=class | Del=remove box | E=deselect",
+            (10, self.wh - 6),
+            cv2.FONT_HERSHEY_SIMPLEX, 0.36, (120, 120, 120), 1)
+
+        cv2.imshow(self.WIN, canvas)
+
+    # ── mouse ─────────────────────────────────────────────────────
+
+    def _on_mouse(self, ev, wx, wy, flags, _):
+        nx, ny = self._to_norm(wx, wy)
+        self.mouse_n = (nx, ny)
+
+        if ev == cv2.EVENT_LBUTTONDOWN:
+            # check toolbar buttons first
+            for btn in self.buttons:
+                if btn.hit(wx, wy):
+                    self._do_action(btn.action)
+                    return
+
+            # only interact with image area below toolbar
+            if wy < IMG_TOP:
+                return
+
+            idx, what = self._hit(nx, ny)
+            if what in ("tl", "tr", "bl", "br"):
+                self._push_undo()
+                self.sel = idx
+                self.mode = "resize"
+                b = self.boxes[idx]
+                opp = {"tl": (b.x2, b.y2), "tr": (b.x1, b.y2),
+                       "bl": (b.x2, b.y1), "br": (b.x1, b.y1)}
+                self.d_anchor = opp[what]
+                self.d_start = (nx, ny)
+            elif what == "inside":
+                self._push_undo()
+                self.sel = idx
+                self.mode = "move"
+                self.d_start = (nx, ny)
+                b = self.boxes[idx]
+                self.d_orig = (b.cx, b.cy)
+            else:
+                self.sel = -1
+                self.mode = "draw"
+                self.d_start = (nx, ny)
+            self._draw()
+
+        elif ev == cv2.EVENT_MOUSEMOVE:
+            if self.mode == "draw":
+                self._draw()
+            elif self.mode == "move" and self.d_start and \
+                    0 <= self.sel < len(self.boxes):
+                b = self.boxes[self.sel]
+                b.cx = self.d_orig[0] + (nx - self.d_start[0])
+                b.cy = self.d_orig[1] + (ny - self.d_start[1])
+                self.dirty = True
+                self._draw()
+            elif self.mode == "resize" and self.d_anchor:
+                b = self.boxes[self.sel]
+                ax, ay = self.d_anchor
+                b.set_corners(min(ax, nx), min(ay, ny),
+                              max(ax, nx), max(ay, ny))
+                self.dirty = True
+                self._draw()
+
+        elif ev == cv2.EVENT_LBUTTONUP:
+            if self.mode == "draw" and self.d_start:
+                x1, y1 = min(self.d_start[0], nx), min(self.d_start[1], ny)
+                x2, y2 = max(self.d_start[0], nx), max(self.d_start[1], ny)
+                if (x2 - x1) > MIN_BOX and (y2 - y1) > MIN_BOX:
+                    self._push_undo()
+                    b = Box(0, 0, 0, 0, self.cur_cls)
+                    b.set_corners(x1, y1, x2, y2)
+                    self.boxes.append(b)
+                    self.sel = len(self.boxes) - 1
+                    self.dirty = True
+            self.mode = None
+            self.d_start = self.d_anchor = self.d_orig = None
+            self._draw()
+
+        elif ev == cv2.EVENT_RBUTTONDOWN:
+            idx, _ = self._hit(nx, ny)
+            if idx >= 0:
+                self._push_undo()
+                self.sel = idx
+                self.boxes[idx].cls_id = \
+                    (self.boxes[idx].cls_id + 1) % len(self.classes)
+                self.dirty = True
+                self._draw()
+
+    # ── actions (shared by keys + buttons) ────────────────────────
+
+    def _do_action(self, action):
+        if action == "predict":
+            self._predict()
+            self._draw()
+        elif action == "save_next":
+            self._do_save_next()
+        elif action == "filter":
+            self._do_filter()
+        elif action == "undo":
+            self._pop_undo()
+            self._draw()
+        elif action == "del_img":
+            self._do_del_img()
+
+    def _do_save_next(self):
+        if not self.files:
+            return
+        self._save()
+        fname = os.path.basename(self.files[self.pos])
+        print(f"  Saved {fname} ({len(self.boxes)} box(es))")
+        self._goto(self.pos + 1)
+
+    def _do_filter(self):
+        self.filt_idx = (self.filt_idx + 1) % len(self.FILTERS)
+        if self.dirty:
+            self._save()
+        self._refilter()
+        if self.files:
+            self._load()
+            self._draw()
+            print(f"  Filter: {self.FILTERS[self.filt_idx]}"
+                  f" ({len(self.files)} images)")
+        else:
+            self.img = None
+            self._draw()
+            print(f"  Filter: {self.FILTERS[self.filt_idx]} (0 images)")
+
+    def _do_del_img(self):
+        if not self.files:
+            return
+        fp = self.files[self.pos]
+        lp = self._lbl(fp)
+        if os.path.exists(fp):
+            os.remove(fp)
+        if os.path.exists(lp):
+            os.remove(lp)
+        self.n_deleted += 1
+        print(f"  Deleted {os.path.basename(fp)}")
+        self.all_files = [f for f in self.all_files if f != fp]
+        self.dirty = False
+        self._refilter()
+        if not self.files:
+            self.img = None
+            self._draw()
+            return
+        self.pos = min(self.pos, len(self.files) - 1)
+        self._load()
+        self._draw()
+
+    # ── navigation ────────────────────────────────────────────────
+
+    def _goto(self, new_pos):
+        if self.dirty:
+            self._save()
+        new_pos = max(0, min(new_pos, len(self.files) - 1))
+        if new_pos == self.pos and self.img is not None:
+            return
+        self.pos = new_pos
+        self._load()
+        self._draw()
+
+    # ── main loop ─────────────────────────────────────────────────
+
+    def run(self):
+        if not self.all_files:
+            print(f"No images in {self.img_dir}")
+            return
+
+        cv2.namedWindow(self.WIN, cv2.WINDOW_NORMAL)
+        cv2.resizeWindow(self.WIN, self.ww, self.wh)
+        cv2.setMouseCallback(self.WIN, self._on_mouse)
+
+        self._refilter()
+        if not self.files:
+            print("No images match current filter")
+            return
+        self._load()
+        self._draw()
+
+        while True:
+            key = cv2.waitKeyEx(30)
+
+            # detect window close (user clicked X)
+            if cv2.getWindowProperty(self.WIN, cv2.WND_PROP_VISIBLE) < 1:
+                if self.dirty:
+                    self._save()
+                break
+
+            # detect window resize
+            try:
+                r = cv2.getWindowImageRect(self.WIN)
+                if r[2] > 0 and r[3] > 0 and \
+                        (r[2] != self.ww or r[3] != self.wh):
+                    self.ww, self.wh = r[2], r[3]
+                    self._cache = None
+                    self._draw()
+            except cv2.error:
+                pass
+
+            if key == -1:
+                continue
+
+            # Quit
+            if key in (ord("q"), 27):
+                if self.dirty:
+                    self._save()
+                break
+
+            # Save + next
+            if key in (32, 13):
+                self._do_save_next()
+                continue
+
+            # Navigation
+            if key == K_LEFT:
+                self._goto(self.pos - 1)
+                continue
+            if key == K_RIGHT:
+                self._goto(self.pos + 1)
+                continue
+
+            # Predict
+            if key == ord("p"):
+                self._predict()
+                self._draw()
+                continue
+
+            # Delete selected box
+            if key == K_DEL or key == 8:
+                if 0 <= self.sel < len(self.boxes):
+                    self._push_undo()
+                    self.boxes.pop(self.sel)
+                    self.sel = -1
+                    self.dirty = True
+                    self._draw()
+                continue
+
+            # Delete image
+            if key == ord("x"):
+                self._do_del_img()
+                continue
+
+            # Undo
+            if key == ord("z"):
+                self._pop_undo()
+                self._draw()
+                continue
+
+            # Filter
+            if key == ord("f"):
+                self._do_filter()
+                continue
+
+            # Number keys -> set class
+            if ord("1") <= key <= ord("9"):
+                cls_id = key - ord("1")
+                if cls_id < len(self.classes):
+                    if 0 <= self.sel < len(self.boxes):
+                        self._push_undo()
+                        self.boxes[self.sel].cls_id = cls_id
+                        self.dirty = True
+                    self.cur_cls = cls_id
+                    self._draw()
+                continue
+
+            # Deselect
+            if key == ord("e"):
+                self.sel = -1
+                self._draw()
+                continue
+
+        cv2.destroyAllWindows()
+        total = len(self.all_files)
+        labeled = sum(1 for f in self.all_files if self._has_labels(self._lbl(f)))
+        empty = sum(1 for f in self.all_files if self._is_empty_label(self._lbl(f)))
+        unlabeled = total - labeled - empty
+        print(f"\nDone. Saved: {self.n_saved}, Deleted: {self.n_deleted}")
+        print(f"Dataset: {total} images, {labeled} labeled, "
+              f"{empty} empty, {unlabeled} unlabeled")
+
+
+def run_annotator(img_dir, classes=None):
+    """Entry point callable from manage.py or standalone."""
+    tool = Annotator(img_dir, classes)
+    tool.run()
+
+
+def main():
+    img_dir = sys.argv[1] if len(sys.argv) > 1 else "../../training-data/kulemak/raw"
+    run_annotator(img_dir)
+
+
+if __name__ == "__main__":
+    main()

tools/python-detect/daemon.py

@@ -12,7 +12,7 @@ import sys
 import json
 import time
 
-_model = None
+_models = {}
 
 
 def _redirect_stdout_to_stderr():
@@ -26,36 +26,40 @@ def _restore_stdout(real_stdout):
     sys.stdout = real_stdout
 
 
-def load_model():
-    global _model
-    if _model is not None:
-        return _model
+def load_model(name="enemy-v1"):
+    if name in _models:
+        return _models[name]
 
     import os
     from ultralytics import YOLO
 
     model_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "models")
-    model_path = os.path.join(model_dir, "enemy-v1.pt")
+
+    # Prefer TensorRT engine if available, fall back to .pt
+    engine_path = os.path.join(model_dir, f"{name}.engine")
+    pt_path = os.path.join(model_dir, f"{name}.pt")
+    model_path = engine_path if os.path.exists(engine_path) else pt_path
 
     if not os.path.exists(model_path):
-        raise FileNotFoundError(f"Model not found: {model_path}")
+        raise FileNotFoundError(f"Model not found: {pt_path} (also checked {engine_path})")
 
-    sys.stderr.write(f"Loading YOLO model from {model_path}...\n")
+    sys.stderr.write(f"Loading YOLO model '{name}' from {model_path}...\n")
     sys.stderr.flush()
 
     real_stdout = _redirect_stdout_to_stderr()
     try:
-        _model = YOLO(model_path)
+        model = YOLO(model_path)
         # Warmup with dummy inference (triggers CUDA init)
         import numpy as np
         dummy = np.zeros((640, 640, 3), dtype=np.uint8)
-        _model.predict(dummy, verbose=False)
+        model.predict(dummy, verbose=False)
     finally:
         _restore_stdout(real_stdout)
 
-    sys.stderr.write("YOLO model loaded and warmed up.\n")
+    _models[name] = model
+    sys.stderr.write(f"YOLO model '{name}' loaded and warmed up.\n")
     sys.stderr.flush()
-    return _model
+    return model
 
 
 def handle_detect(req):
@@ -70,12 +74,15 @@ def handle_detect(req):
 
     img_bytes = base64.b64decode(image_base64)
     img = np.array(Image.open(io.BytesIO(img_bytes)))
+    # PIL gives RGB, but ultralytics model.predict() assumes numpy arrays are BGR
+    img = img[:, :, ::-1]
 
     conf = req.get("conf", 0.3)
     iou = req.get("iou", 0.45)
     imgsz = req.get("imgsz", 640)
+    model_name = req.get("model", "enemy-v1")
 
-    model = load_model()
+    model = load_model(model_name)
 
     real_stdout = _redirect_stdout_to_stderr()
     try:

tools/python-detect/fix_labels.py

@@ -0,0 +1,77 @@
+"""Fix labels generated by buggy annotate.py that multiplied by scale."""
+import glob
+import os
+import cv2
+import sys
+
+def compute_scale(img_path):
+    img = cv2.imread(img_path)
+    if img is None:
+        return None
+    h, w = img.shape[:2]
+    max_h, max_w = 900, 1600
+    if h > max_h or w > max_w:
+        return min(max_w / w, max_h / h)
+    return 1.0
+
+def fix_label(label_path, scale):
+    if scale == 1.0:
+        return False
+    with open(label_path) as f:
+        lines = f.readlines()
+    fixed = []
+    for line in lines:
+        parts = line.strip().split()
+        if len(parts) != 5:
+            fixed.append(line)
+            continue
+        cls = parts[0]
+        cx = float(parts[1]) / scale
+        cy = float(parts[2]) / scale
+        w = float(parts[3]) / scale
+        h = float(parts[4]) / scale
+        cx = min(cx, 1.0)
+        cy = min(cy, 1.0)
+        w = min(w, 1.0)
+        h = min(h, 1.0)
+        fixed.append(f"{cls} {cx:.6f} {cy:.6f} {w:.6f} {h:.6f}\n")
+    with open(label_path, "w") as f:
+        f.writelines(fixed)
+    return True
+
+def main():
+    dataset_dir = sys.argv[1] if len(sys.argv) > 1 else "../../training-data/boss-dataset"
+    dataset_dir = os.path.abspath(dataset_dir)
+
+    count = 0
+    for split in ["train", "valid"]:
+        label_dir = os.path.join(dataset_dir, split, "labels")
+        img_dir = os.path.join(dataset_dir, split, "images")
+        if not os.path.isdir(label_dir):
+            continue
+        for label_path in glob.glob(os.path.join(label_dir, "*.txt")):
+            base = os.path.splitext(os.path.basename(label_path))[0]
+            img_path = None
+            for ext in (".jpg", ".jpeg", ".png"):
+                candidate = os.path.join(img_dir, base + ext)
+                if os.path.exists(candidate):
+                    img_path = candidate
+                    break
+            if img_path is None:
+                print(f"  WARNING: no image for {label_path}")
+                continue
+            scale = compute_scale(img_path)
+            if scale is None:
+                print(f"  WARNING: can't read {img_path}")
+                continue
+            if fix_label(label_path, scale):
+                count += 1
+                # Show first few for verification
+                if count <= 3:
+                    with open(label_path) as f:
+                        print(f"  Fixed {os.path.basename(label_path)}: {f.read().strip()}")
+
+    print(f"\nFixed {count} label files")
+
+if __name__ == "__main__":
+    main()

tools/python-detect/manage.py

@@ -0,0 +1,353 @@
+"""
+Unified CLI for the YOLO detection pipeline.
+
+Subcommands (all take a positional boss name):
+    build    kulemak [--ratio 0.85] [--seed 42]   Split raw/ -> dataset/
+    train    kulemak [--epochs 200] [--name X]     Train model (auto-increments name)
+    runs     kulemak                               List training runs + metrics table
+    annotate kulemak [dir]                         Launch annotation GUI
+    prelabel kulemak [dir] [--model boss-kulemak]  Auto-label unlabeled images
+"""
+
+import argparse
+import csv
+import os
+import random
+import re
+import shutil
+import sys
+
+# ── Shared constants ─────────────────────────────────────────────
+SCRIPT_DIR   = os.path.dirname(os.path.abspath(__file__))
+REPO_ROOT    = os.path.abspath(os.path.join(SCRIPT_DIR, "..", ".."))
+RUNS_DIR     = os.path.join(REPO_ROOT, "runs", "detect")
+MODELS_DIR   = os.path.join(SCRIPT_DIR, "models")
+
+
+def raw_dir(boss):
+    return os.path.join(REPO_ROOT, "training-data", boss, "raw")
+
+def dataset_dir(boss):
+    return os.path.join(REPO_ROOT, "training-data", boss, "dataset")
+
+def boss_classes(boss):
+    """Single-class list for the given boss."""
+    return [boss]
+
+
+# ── build ────────────────────────────────────────────────────────
+def cmd_build(args):
+    """Scan raw/, split labeled+empty images into dataset train/valid."""
+    import glob as g
+
+    boss = args.boss
+    raw = raw_dir(boss)
+    dataset = dataset_dir(boss)
+    classes = boss_classes(boss)
+
+    images = sorted(g.glob(os.path.join(raw, "*.jpg")))
+
+    labeled, empty = [], []
+    skipped = 0
+    for img in images:
+        txt = os.path.splitext(img)[0] + ".txt"
+        if not os.path.exists(txt):
+            skipped += 1
+            continue
+        with open(txt) as f:
+            content = f.read().strip()
+        if content:
+            labeled.append(img)
+        else:
+            empty.append(img)
+
+    print(f"Raw: {len(images)} images -- {len(labeled)} labeled, "
+          f"{len(empty)} empty (negative), {skipped} unlabeled (skipped)")
+
+    if not labeled and not empty:
+        print("Nothing to build.")
+        return
+
+    rng = random.Random(args.seed)
+    rng.shuffle(labeled)
+    rng.shuffle(empty)
+
+    def split(lst, ratio):
+        n = max(1, round(len(lst) * ratio)) if lst else 0
+        return lst[:n], lst[n:]
+
+    train_labeled, valid_labeled = split(labeled, args.ratio)
+    train_empty,   valid_empty   = split(empty,   args.ratio)
+
+    train_files = train_labeled + train_empty
+    valid_files = valid_labeled + valid_empty
+
+    # Wipe and recreate
+    for sub in ("train/images", "train/labels", "valid/images", "valid/labels"):
+        d = os.path.join(dataset, sub)
+        if os.path.exists(d):
+            shutil.rmtree(d)
+        os.makedirs(d)
+
+    def copy_files(file_list, split_name):
+        for img in file_list:
+            txt = os.path.splitext(img)[0] + ".txt"
+            base = os.path.basename(img)
+            base_txt = os.path.splitext(base)[0] + ".txt"
+            shutil.copy2(img, os.path.join(dataset, split_name, "images", base))
+            shutil.copy2(txt, os.path.join(dataset, split_name, "labels", base_txt))
+
+    copy_files(train_files, "train")
+    copy_files(valid_files, "valid")
+
+    # Write data.yaml
+    yaml_path = os.path.join(dataset, "data.yaml")
+    with open(yaml_path, "w") as f:
+        f.write(f"train: {os.path.join(dataset, 'train', 'images')}\n")
+        f.write(f"val: {os.path.join(dataset, 'valid', 'images')}\n\n")
+        f.write(f"nc: {len(classes)}\n")
+        f.write(f"names: {classes}\n")
+
+    # Delete stale label caches
+    for root, dirs, files in os.walk(dataset):
+        for fn in files:
+            if fn == "labels.cache":
+                os.remove(os.path.join(root, fn))
+
+    print(f"\nTrain: {len(train_files)} ({len(train_labeled)} labeled + {len(train_empty)} empty)")
+    print(f"Valid: {len(valid_files)} ({len(valid_labeled)} labeled + {len(valid_empty)} empty)")
+    print(f"data.yaml: {yaml_path}")
+
+
+# ── runs ─────────────────────────────────────────────────────────
+def _parse_simple_yaml(path):
+    """Parse flat key: value YAML without requiring PyYAML."""
+    result = {}
+    if not os.path.exists(path):
+        return result
+    with open(path) as f:
+        for line in f:
+            line = line.strip()
+            if not line or line.startswith("#"):
+                continue
+            if ": " in line:
+                key, val = line.split(": ", 1)
+                # Try to cast to int/float/bool/null
+                val = val.strip()
+                if val == "null" or val == "~":
+                    val = None
+                elif val == "true":
+                    val = True
+                elif val == "false":
+                    val = False
+                else:
+                    try:
+                        val = int(val)
+                    except ValueError:
+                        try:
+                            val = float(val)
+                        except ValueError:
+                            pass
+                result[key.strip()] = val
+    return result
+
+
+def cmd_runs(args):
+    """List training runs with metrics for the given boss."""
+    boss = args.boss
+    prefix = f"{boss}-v"
+
+    if not os.path.isdir(RUNS_DIR):
+        print(f"No runs directory: {RUNS_DIR}")
+        return
+
+    run_dirs = sorted(
+        [d for d in os.listdir(RUNS_DIR)
+         if os.path.isdir(os.path.join(RUNS_DIR, d)) and d.startswith(prefix)],
+        key=lambda d: _run_sort_key(d)
+    )
+
+    if not run_dirs:
+        print(f"No {prefix}* runs found.")
+        return
+
+    rows = []
+    for name in run_dirs:
+        run_path = os.path.join(RUNS_DIR, name)
+        args_file = os.path.join(run_path, "args.yaml")
+        csv_file  = os.path.join(run_path, "results.csv")
+
+        model = epochs_cfg = imgsz = "?"
+        if os.path.exists(args_file):
+            cfg = _parse_simple_yaml(args_file)
+            model = os.path.splitext(os.path.basename(str(cfg.get("model", "?"))))[0]
+            epochs_cfg = str(cfg.get("epochs", "?"))
+            imgsz = str(cfg.get("imgsz", "?"))
+
+        mAP50 = mAP50_95 = prec = rec = "-"
+        actual_epochs = "?"
+        status = "unknown"
+
+        if os.path.exists(csv_file):
+            with open(csv_file) as f:
+                reader = csv.DictReader(f)
+                best_map = -1
+                best_row = None
+                last_epoch = 0
+                for row in reader:
+                    row = {k.strip(): v.strip() for k, v in row.items()}
+                    ep = int(row.get("epoch", 0))
+                    last_epoch = max(last_epoch, ep)
+                    val = float(row.get("metrics/mAP50(B)", 0))
+                    if val > best_map:
+                        best_map = val
+                        best_row = row
+                if best_row:
+                    mAP50    = f"{float(best_row.get('metrics/mAP50(B)', 0)):.3f}"
+                    mAP50_95 = f"{float(best_row.get('metrics/mAP50-95(B)', 0)):.3f}"
+                    prec     = f"{float(best_row.get('metrics/precision(B)', 0)):.3f}"
+                    rec      = f"{float(best_row.get('metrics/recall(B)', 0)):.3f}"
+
+                actual_epochs = str(last_epoch)
+                try:
+                    if int(epochs_cfg) > last_epoch + 1:
+                        status = "early-stop"
+                    else:
+                        status = "done"
+                except ValueError:
+                    status = "?"
+
+        epoch_str = f"{actual_epochs}/{epochs_cfg}"
+        rows.append((name, model, epoch_str, imgsz, mAP50, mAP50_95, prec, rec, status))
+
+    headers = ("Run", "Model", "Epochs", "ImgSz", "mAP50", "mAP50-95", "P", "R", "Status")
+    widths = [max(len(h), max(len(r[i]) for r in rows)) for i, h in enumerate(headers)]
+
+    header_line = "  ".join(h.ljust(w) for h, w in zip(headers, widths))
+    print(header_line)
+    print("  ".join("-" * w for w in widths))
+    for row in rows:
+        print("  ".join(val.ljust(w) for val, w in zip(row, widths)))
+
+
+def _run_sort_key(name):
+    m = re.search(r"(\d+)", name)
+    return int(m.group(1)) if m else 0
+
+
+# ── train ────────────────────────────────────────────────────────
+def cmd_train(args):
+    """Train a YOLO model, auto-incrementing run name per boss."""
+    boss = args.boss
+
+    # Auto-increment name: {boss}-v1, {boss}-v2, ...
+    if args.name is None:
+        prefix = f"{boss}-v"
+        highest = 0
+        if os.path.isdir(RUNS_DIR):
+            for d in os.listdir(RUNS_DIR):
+                m = re.match(re.escape(prefix) + r"(\d+)", d)
+                if m:
+                    highest = max(highest, int(m.group(1)))
+        args.name = f"{prefix}{highest + 1}"
+        print(f"Auto-assigned run name: {args.name}")
+
+    if args.data is None:
+        args.data = os.path.join(dataset_dir(boss), "data.yaml")
+
+    if not os.path.exists(args.data):
+        print(f"data.yaml not found: {args.data}")
+        print(f"Run 'python manage.py build {boss}' first.")
+        return
+
+    # Pass boss name so train.py can name the output model
+    args.boss = boss
+
+    from train import run_training
+    run_training(args)
+
+
+# ── annotate ─────────────────────────────────────────────────────
+def cmd_annotate(args):
+    """Launch annotation GUI for the given boss."""
+    boss = args.boss
+    img_dir = args.dir or raw_dir(boss)
+    classes = boss_classes(boss)
+    from annotate import run_annotator
+    run_annotator(img_dir, classes)
+
+
+# ── prelabel ─────────────────────────────────────────────────────
+def cmd_prelabel(args):
+    """Auto-label unlabeled images."""
+    boss = args.boss
+    if args.img_dir is None:
+        args.img_dir = raw_dir(boss)
+    if args.model == _PRELABEL_MODEL_DEFAULT:
+        args.model = f"boss-{boss}"
+    from prelabel import run_prelabel
+    run_prelabel(args)
+
+_PRELABEL_MODEL_DEFAULT = "__auto__"
+
+
+# ── CLI ──────────────────────────────────────────────────────────
+def main():
+    parser = argparse.ArgumentParser(
+        description="YOLO detection pipeline manager",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog=__doc__,
+    )
+    sub = parser.add_subparsers(dest="command")
+
+    # annotate
+    p = sub.add_parser("annotate", help="Launch annotation GUI")
+    p.add_argument("boss", help="Boss name (e.g. kulemak)")
+    p.add_argument("dir", nargs="?", default=None, help="Image directory (default: training-data/{boss}/raw)")
+
+    # build
+    p = sub.add_parser("build", help="Build dataset from raw/")
+    p.add_argument("boss", help="Boss name (e.g. kulemak)")
+    p.add_argument("--ratio", type=float, default=0.85, help="Train ratio (default 0.85)")
+    p.add_argument("--seed", type=int, default=42, help="Random seed")
+
+    # train
+    p = sub.add_parser("train", help="Train YOLO model")
+    p.add_argument("boss", help="Boss name (e.g. kulemak)")
+    p.add_argument("--data", default=None, help="Path to data.yaml")
+    p.add_argument("--model", default="yolo11s", help="YOLO model variant")
+    p.add_argument("--epochs", type=int, default=200, help="Training epochs")
+    p.add_argument("--imgsz", type=int, default=1280, help="Image size")
+    p.add_argument("--batch", type=int, default=8, help="Batch size")
+    p.add_argument("--device", default="0", help="CUDA device")
+    p.add_argument("--name", default=None, help="Run name (auto-increments if omitted)")
+
+    # runs
+    p = sub.add_parser("runs", help="List training runs with metrics")
+    p.add_argument("boss", help="Boss name (e.g. kulemak)")
+
+    # prelabel
+    p = sub.add_parser("prelabel", help="Pre-label unlabeled images")
+    p.add_argument("boss", help="Boss name (e.g. kulemak)")
+    p.add_argument("img_dir", nargs="?", default=None, help="Image directory")
+    p.add_argument("--model", default=_PRELABEL_MODEL_DEFAULT, help="Model name in models/ (default: boss-{boss})")
+    p.add_argument("--conf", type=float, default=0.20, help="Confidence threshold")
+
+    args = parser.parse_args()
+
+    if args.command is None:
+        parser.print_help()
+        return
+
+    commands = {
+        "annotate": cmd_annotate,
+        "build":    cmd_build,
+        "train":    cmd_train,
+        "runs":     cmd_runs,
+        "prelabel": cmd_prelabel,
+    }
+    commands[args.command](args)
+
+
+if __name__ == "__main__":
+    main()

tools/python-detect/prelabel.py

@@ -0,0 +1,78 @@
+"""
+Pre-label images using an existing YOLO model.
+Generates .txt labels for unlabeled images so the annotator can load them for review.
+
+Usage:
+    python prelabel.py [image_dir] [--model boss-v1] [--conf 0.20]
+"""
+import argparse
+import glob
+import os
+
+def run_prelabel(args):
+    """Run pre-labeling. Called from main() or manage.py."""
+    img_dir = os.path.abspath(args.img_dir)
+    model_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "models", f"{args.model}.pt")
+
+    if not os.path.exists(model_path):
+        print(f"Model not found: {model_path}")
+        return
+
+    from ultralytics import YOLO
+    model = YOLO(model_path)
+
+    extensions = ("*.jpg", "*.jpeg", "*.png")
+    files = []
+    for ext in extensions:
+        files.extend(glob.glob(os.path.join(img_dir, ext)))
+    files.sort()
+
+    # Only process unlabeled images
+    unlabeled = []
+    for f in files:
+        label_path = os.path.splitext(f)[0] + ".txt"
+        if not os.path.exists(label_path):
+            unlabeled.append(f)
+
+    print(f"Found {len(files)} images, {len(files) - len(unlabeled)} already labeled, {len(unlabeled)} to pre-label")
+
+    if not unlabeled:
+        print("All images already have labels!")
+        return
+
+    labeled = 0
+    skipped = 0
+    for filepath in unlabeled:
+        results = model(filepath, conf=args.conf, verbose=False)
+        boxes = results[0].boxes
+
+        if len(boxes) == 0:
+            skipped += 1
+            continue
+
+        label_path = os.path.splitext(filepath)[0] + ".txt"
+        with open(label_path, "w") as f:
+            for box in boxes:
+                cls = int(box.cls[0])
+                xywhn = box.xywhn[0]  # normalized center x, y, w, h
+                cx, cy, w, h = xywhn.tolist()
+                f.write(f"{cls} {cx:.6f} {cy:.6f} {w:.6f} {h:.6f}\n")
+
+        labeled += 1
+        fname = os.path.basename(filepath)
+        conf = boxes.conf[0].item()
+        print(f"  {fname}: {len(boxes)} box(es), best conf={conf:.2f}")
+
+    print(f"\nPre-labeled {labeled} images, skipped {skipped} (no detections)")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Pre-label images with YOLO model")
+    parser.add_argument("img_dir", nargs="?", default="../../training-data/kulemak/raw")
+    parser.add_argument("--model", default="boss-kulemak", help="Model name in models/")
+    parser.add_argument("--conf", type=float, default=0.20, help="Confidence threshold")
+    args = parser.parse_args()
+    run_prelabel(args)
+
+if __name__ == "__main__":
+    main()

tools/python-detect/train.py

@@ -1,30 +1,24 @@
 """
-Training script for YOLOv11n enemy detection model.
+Training script for YOLO enemy/boss detection model.
 
 Usage:
-    python train.py --data path/to/data.yaml --epochs 100
+    python train.py --data path/to/data.yaml --epochs 200
+    python train.py --data path/to/data.yaml --model yolo11m --imgsz 1280 --epochs 300
 
 Expects YOLO-format dataset with data.yaml pointing to train/val image directories.
 Export from Roboflow in "YOLOv11" format.
 """
 
 import argparse
+import glob
 import os
 
 
-def main():
-    parser = argparse.ArgumentParser(description="Train YOLOv11n enemy detector")
-    parser.add_argument("--data", required=True, help="Path to data.yaml")
-    parser.add_argument("--epochs", type=int, default=100, help="Training epochs")
-    parser.add_argument("--imgsz", type=int, default=640, help="Image size")
-    parser.add_argument("--batch", type=int, default=16, help="Batch size")
-    parser.add_argument("--device", default="0", help="CUDA device (0, cpu)")
-    parser.add_argument("--name", default="enemy-v1", help="Run name")
-    args = parser.parse_args()
-
+def run_training(args):
+    """Run YOLO training. Called from main() or manage.py."""
     from ultralytics import YOLO
 
-    model = YOLO("yolo11n.pt")  # start from pretrained nano
+    model = YOLO(f"{args.model}.pt")
 
     model.train(
         data=args.data,
@@ -33,25 +27,71 @@ def main():
         batch=args.batch,
         device=args.device,
         name=args.name,
-        patience=20,       # early stopping
+        patience=30,
+
+        # Learning rate (fine-tuning pretrained, not from scratch)
+        lr0=0.001,
+        lrf=0.01,
+        cos_lr=True,
+        warmup_epochs=5,
+        weight_decay=0.001,
+
+        # Augmentation tuned for boss glow/morph effects
+        hsv_h=0.03,
+        hsv_s=0.8,
+        hsv_v=0.6,
+        scale=0.7,
+        translate=0.2,
+        degrees=5.0,
+        mixup=0.15,
+        close_mosaic=15,
+        erasing=0.3,
+
+        workers=0,          # avoid multiprocessing paging file issues on Windows
         save=True,
         save_period=10,
         plots=True,
         verbose=True,
     )
 
-    # Copy best weights to models directory
-    best_path = os.path.join("runs", "detect", args.name, "weights", "best.pt")
+    # Find best.pt — try the trainer's save_dir first, then scan runs/detect/
+    best_path = None
+    save_dir = getattr(model.trainer, "save_dir", None)
+    if save_dir:
+        candidate = os.path.join(str(save_dir), "weights", "best.pt")
+        if os.path.exists(candidate):
+            best_path = candidate
+    if not best_path:
+        run_base = os.path.join("runs", "detect")
+        candidates = sorted(glob.glob(os.path.join(run_base, f"{args.name}*", "weights", "best.pt")))
+        best_path = candidates[-1] if candidates else os.path.join(run_base, args.name, "weights", "best.pt")
+
     output_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "models")
     os.makedirs(output_dir, exist_ok=True)
 
-    output_path = os.path.join(output_dir, f"{args.name}.pt")
+    # If boss is set (from manage.py), deploy as boss-{boss}.pt; otherwise use run name
+    boss = getattr(args, "boss", None)
+    model_filename = f"boss-{boss}.pt" if boss else f"{args.name}.pt"
+    output_path = os.path.join(output_dir, model_filename)
     if os.path.exists(best_path):
         import shutil
         shutil.copy2(best_path, output_path)
         print(f"\nBest model copied to: {output_path}")
     else:
-        print(f"\nWarning: {best_path} not found — check training output")
+        print(f"\nWarning: {best_path} not found -- check training output")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Train YOLO enemy/boss detector")
+    parser.add_argument("--data", required=True, help="Path to data.yaml")
+    parser.add_argument("--model", default="yolo11s", help="YOLO model variant (yolo11n, yolo11s, yolo11m)")
+    parser.add_argument("--epochs", type=int, default=200, help="Training epochs")
+    parser.add_argument("--imgsz", type=int, default=1280, help="Image size")
+    parser.add_argument("--batch", type=int, default=8, help="Batch size")
+    parser.add_argument("--device", default="0", help="CUDA device (0, cpu)")
+    parser.add_argument("--name", default="enemy-v1", help="Run name")
+    args = parser.parse_args()
+    run_training(args)
 
 
 if __name__ == "__main__":