bugfixes

backend/.env

@@ -1,2 +1,2 @@
-HTTPS_ENABLED=0
+HTTPS_ENABLED=1
 AUTH_RP_ORIGINS=https://l14pbbk95100006.tegdssd.de:9999,https://l14pbbk95100006.tegdssd.de:5173,https://localhost:9999,https://127.0.0.1:9999,https://10.0.1.25:9999,http://localhost:5173,http://127.0.0.1:5173,http://10.0.1.25:5173

backend/ai_server.py

@@ -12,6 +12,52 @@ from ultralytics import YOLO
 
 
 BASE_DIR = Path(__file__).resolve().parent
+KEYPOINT_NAMES = [
+    "nose",
+    "left_eye", "right_eye",
+    "left_ear", "right_ear",
+    "left_shoulder", "right_shoulder",
+    "left_elbow", "right_elbow",
+    "left_wrist", "right_wrist",
+    "left_hip", "right_hip",
+    "left_knee", "right_knee",
+    "left_ankle", "right_ankle",
+]
+
+NO_SEX_POSITION_LABEL = "keine"
+NO_SEX_POSITION_ALIASES = {
+    "",
+    NO_SEX_POSITION_LABEL,
+}
+
+
+def normalize_sex_position_label(value) -> str:
+    clean = str(value or "").strip().lower()
+    if clean in NO_SEX_POSITION_ALIASES:
+        return NO_SEX_POSITION_LABEL
+    return clean
+
+
+def is_no_sex_position_label(value) -> bool:
+    return normalize_sex_position_label(value) == NO_SEX_POSITION_LABEL
+
+
+def normalize_sex_position_labels(values) -> set[str]:
+    labels = set()
+    has_no_position = False
+
+    for value in values or []:
+        clean = normalize_sex_position_label(value)
+        if is_no_sex_position_label(clean):
+            has_no_position = True
+            continue
+        if clean:
+            labels.add(clean)
+
+    if has_no_position:
+        labels.add(NO_SEX_POSITION_LABEL)
+
+    return labels
 
 
 def existing_file(path: Path) -> Optional[Path]:
@@ -60,6 +106,7 @@ def resolve_training_root() -> Path:
 
 TRAINING_ROOT = resolve_training_root()
 DEFAULT_MODEL_PATH = TRAINING_ROOT / "detector" / "model" / "best.pt"
+DEFAULT_POSE_MODEL_PATH = TRAINING_ROOT / "pose" / "model" / "best.pt"
 
 
 def resolve_detection_labels_path() -> Path:
@@ -91,12 +138,26 @@ def resolve_model_path() -> str:
     raise RuntimeError(f"YOLO model not found: {DEFAULT_MODEL_PATH}")
 
 
+def resolve_pose_model_path() -> Optional[Path]:
+    env_path = os.environ.get("YOLO_POSE_MODEL", "").strip()
+    if env_path:
+        p = Path(env_path).expanduser().resolve()
+        if existing_file(p):
+            return p
+        raise RuntimeError(f"YOLO_POSE_MODEL not found: {p}")
+
+    if existing_file(DEFAULT_POSE_MODEL_PATH):
+        return DEFAULT_POSE_MODEL_PATH.resolve()
+
+    return None
+
+
 # Server darf auch ohne Labels/Model starten.
 DETECTION_LABELS_PATH: Optional[Path] = None
 
 LABEL_GROUPS = {
     "people": set(),
-    "sexPositions": {"unknown"},
+    "sexPositions": {NO_SEX_POSITION_LABEL},
     "bodyParts": set(),
     "objects": set(),
     "clothing": set(),
@@ -114,15 +175,19 @@ PERSON_LABELS = {
 
 _MODEL_PATH = ""
 _MODEL_ERROR = ""
+_POSE_MODEL_PATH = ""
+_POSE_MODEL_ERROR = ""
 _LABEL_ERROR = ""
 
 _DEVICE = os.environ.get("YOLO_DEVICE", "")
 _CONF = float(os.environ.get("YOLO_CONF", "0.25"))
+_POSE_CONF = float(os.environ.get("YOLO_POSE_CONF", "0.30"))
 _BATCH = int(os.environ.get("YOLO_BATCH", "16"))
 _IMGSZ = int(os.environ.get("YOLO_IMGSZ", "640"))
 _HALF = os.environ.get("YOLO_HALF", "0").lower() in {"1", "true", "yes", "on"}
 
 model = None
+pose_model = None
 
 app = FastAPI()
 
@@ -174,13 +239,14 @@ def empty_prediction(source: str = "model_missing") -> dict:
     return {
         "modelAvailable": False,
         "source": source,
-        "sexPosition": "unknown",
+        "sexPosition": NO_SEX_POSITION_LABEL,
         "sexPositionScore": 0.0,
         "peoplePresent": [],
         "bodyPartsPresent": [],
         "objectsPresent": [],
         "clothingPresent": [],
         "boxes": [],
+        "persons": [],
     }
 
 
@@ -207,11 +273,7 @@ def load_label_groups_safe() -> None:
                 for x in data.get("people", [])
                 if str(x).strip()
             ),
-            "sexPositions": set(
+            "sexPositions": normalize_sex_position_labels(data.get("sexPositions", [])),
-                str(x).strip().lower()
-                for x in data.get("sexPositions", [])
-                if str(x).strip()
-            ),
             "bodyParts": set(
                 str(x).strip().lower()
                 for x in data.get("bodyParts", [])
@@ -230,7 +292,7 @@ def load_label_groups_safe() -> None:
         }
 
         if not LABEL_GROUPS["sexPositions"]:
-            LABEL_GROUPS["sexPositions"] = {"unknown"}
+            LABEL_GROUPS["sexPositions"] = {NO_SEX_POSITION_LABEL}
 
         _LABEL_ERROR = ""
 
@@ -240,7 +302,7 @@ def load_label_groups_safe() -> None:
 
         LABEL_GROUPS = {
             "people": set(),
-            "sexPositions": {"unknown"},
+            "sexPositions": {NO_SEX_POSITION_LABEL},
             "bodyParts": set(),
             "objects": set(),
             "clothing": set(),
@@ -252,7 +314,7 @@ def load_label_groups_safe() -> None:
 
     POSITION_LABELS = {
         label for label in LABEL_GROUPS["sexPositions"]
-        if label and label != "unknown"
+        if label and not is_no_sex_position_label(label)
     }
 
     PERSON_LABELS = {
@@ -289,6 +351,37 @@ def get_model():
         return None
 
 
+def get_pose_model():
+    global pose_model
+    global _POSE_MODEL_PATH
+    global _POSE_MODEL_ERROR
+
+    if pose_model is not None:
+        return pose_model
+
+    try:
+        path = resolve_pose_model_path()
+        if path is None:
+            pose_model = None
+            _POSE_MODEL_PATH = ""
+            _POSE_MODEL_ERROR = ""
+            return None
+
+        loaded = YOLO(str(path))
+
+        pose_model = loaded
+        _POSE_MODEL_PATH = str(path)
+        _POSE_MODEL_ERROR = ""
+
+        return pose_model
+
+    except Exception as exc:
+        pose_model = None
+        _POSE_MODEL_PATH = ""
+        _POSE_MODEL_ERROR = str(exc)
+        return None
+
+
 def scored(label: str, score: float) -> dict:
     return {
         "label": label,
@@ -315,9 +408,6 @@ def prediction_from_result(result) -> dict:
     objects = []
     clothing = []
 
-    sex_position = "unknown"
-    sex_position_score = 0.0
-
     if result.boxes is not None:
         xywhn = result.boxes.xywhn.cpu().tolist()
         cls_values = result.boxes.cls.cpu().tolist()
@@ -341,13 +431,6 @@ def prediction_from_result(result) -> dict:
             is_body = label in BODY_LABELS
             is_object = label in OBJECT_LABELS
             is_clothing = label in CLOTHING_LABELS
-            is_position = label in POSITION_LABELS
-
-            if is_position:
-                if score > sex_position_score:
-                    sex_position = label
-                    sex_position_score = score
-                continue
 
             if not (is_person or is_body or is_object or is_clothing):
                 continue
@@ -376,13 +459,165 @@ def prediction_from_result(result) -> dict:
     return {
         "modelAvailable": True,
         "source": f"yolo-server:{Path(_MODEL_PATH).name}",
-        "sexPosition": sex_position,
+        "sexPosition": NO_SEX_POSITION_LABEL,
-        "sexPositionScore": sex_position_score,
+        "sexPositionScore": 0.0,
         "peoplePresent": people_present,
         "bodyPartsPresent": body_parts,
         "objectsPresent": objects,
         "clothingPresent": clothing,
         "boxes": boxes_out,
+        "persons": [],
+    }
+
+
+def pose_persons_from_result(result) -> list[dict]:
+    names = result.names or {}
+    persons = []
+
+    if result.boxes is None:
+        return persons
+
+    kpts_xyn = None
+    kpts_conf = None
+
+    if result.keypoints is not None:
+        try:
+            kpts_xyn = result.keypoints.xyn.cpu().tolist()
+        except Exception:
+            kpts_xyn = None
+        try:
+            kpts_conf = result.keypoints.conf.cpu().tolist()
+        except Exception:
+            kpts_conf = None
+
+    xywhn_values = result.boxes.xywhn.cpu().tolist()
+    cls_values = result.boxes.cls.cpu().tolist()
+    conf_values = result.boxes.conf.cpu().tolist()
+
+    for i, (box_xywhn, cls_id, conf) in enumerate(
+        zip(xywhn_values, cls_values, conf_values)
+    ):
+        label = str(names.get(int(cls_id), int(cls_id))).strip().lower()
+        score = float(conf)
+
+        cx, cy, w, h = [float(v) for v in box_xywhn]
+        x = max(0.0, min(1.0, cx - w / 2.0))
+        y = max(0.0, min(1.0, cy - h / 2.0))
+        w = max(0.0, min(1.0 - x, w))
+        h = max(0.0, min(1.0 - y, h))
+
+        if w <= 0 or h <= 0:
+            continue
+
+        keypoints = []
+        if kpts_xyn is not None and i < len(kpts_xyn):
+            for ki, point in enumerate(kpts_xyn[i]):
+                if len(point) < 2:
+                    continue
+
+                kconf = 0.0
+                if (
+                    kpts_conf is not None
+                    and i < len(kpts_conf)
+                    and ki < len(kpts_conf[i])
+                ):
+                    kconf = float(kpts_conf[i][ki])
+
+                keypoints.append({
+                    "name": KEYPOINT_NAMES[ki] if ki < len(KEYPOINT_NAMES) else str(ki),
+                    "x": float(point[0]),
+                    "y": float(point[1]),
+                    "conf": kconf,
+                })
+
+        persons.append({
+            "label": label,
+            "score": score,
+            "box": {
+                "x": x,
+                "y": y,
+                "w": w,
+                "h": h,
+            },
+            "keypoints": keypoints,
+        })
+
+    return persons
+
+
+def apply_pose_result_to_prediction(prediction: dict, result) -> dict:
+    persons = pose_persons_from_result(result)
+    if not persons:
+        return prediction
+
+    prediction["persons"] = persons
+
+    best_position = ""
+    best_score_value = 0.0
+
+    for person in persons:
+        label = str(person.get("label") or "").strip().lower()
+        score = float(person.get("score") or 0.0)
+
+        if is_no_sex_position_label(label) or label not in POSITION_LABELS:
+            continue
+
+        if score > best_score_value:
+            best_position = label
+            best_score_value = score
+
+    if best_position:
+        prediction["sexPosition"] = best_position
+        prediction["sexPositionScore"] = best_score_value
+
+    source = str(prediction.get("source") or "").strip()
+    prediction["source"] = f"{source}+yolo_pose" if source else "yolo_pose"
+
+    return prediction
+
+
+def apply_pose_batch_to_predictions(paths: list[str], predictions: list[dict], imgsz: int) -> None:
+    global _POSE_MODEL_ERROR
+
+    current_pose_model = get_pose_model()
+    if current_pose_model is None:
+        return
+
+    try:
+        pose_results = current_pose_model.predict(
+            source=paths,
+            imgsz=imgsz,
+            conf=_POSE_CONF,
+            batch=_BATCH,
+            device=_DEVICE or None,
+            half=_HALF,
+            verbose=False,
+        )
+    except Exception as exc:
+        _POSE_MODEL_ERROR = str(exc)
+        return
+
+    for prediction, pose_result in zip(predictions, pose_results):
+        apply_pose_result_to_prediction(prediction, pose_result)
+
+
+def pose_model_status() -> dict:
+    try:
+        expected = resolve_pose_model_path()
+        expected_text = str(expected) if expected else str(DEFAULT_POSE_MODEL_PATH)
+        exists = expected is not None
+        error = _POSE_MODEL_ERROR
+    except Exception as exc:
+        expected_text = str(DEFAULT_POSE_MODEL_PATH)
+        exists = False
+        error = str(exc)
+
+    return {
+        "poseModelAvailable": exists,
+        "poseModelLoaded": pose_model is not None,
+        "poseModel": _POSE_MODEL_PATH or (expected_text if exists else ""),
+        "poseModelError": error,
+        "expectedPoseModel": expected_text,
     }
 
 
@@ -426,6 +661,9 @@ def predict_batch(req: PredictBatchRequest):
 
         predictions = [prediction_from_result(result) for result in results]
 
+        if not req.detectorOnly:
+            apply_pose_batch_to_predictions(paths, predictions, imgsz)
+
         return {
             "ok": True,
             "predictions": predictions,
@@ -444,7 +682,7 @@ def health():
     current_model = get_model()
     names = getattr(current_model, "names", {}) or {} if current_model is not None else {}
 
-    return {
+    status_payload = {
         "ok": True,
         "ready": current_model is not None,
         "modelAvailable": current_model is not None,
@@ -458,22 +696,31 @@ def health():
         "labelError": _LABEL_ERROR,
     }
 
+    status_payload.update(pose_model_status())
+    return status_payload
+
 @app.post("/reload", dependencies=[Depends(require_ai_server_auth)])
 def reload_model():
     global model
+    global pose_model
     global _MODEL_PATH
     global _MODEL_ERROR
+    global _POSE_MODEL_PATH
+    global _POSE_MODEL_ERROR
     global DETECTION_LABELS_PATH
 
     model = None
+    pose_model = None
     _MODEL_PATH = ""
     _MODEL_ERROR = ""
+    _POSE_MODEL_PATH = ""
+    _POSE_MODEL_ERROR = ""
     DETECTION_LABELS_PATH = None
 
     current_model = get_model()
     names = getattr(current_model, "names", {}) or {} if current_model is not None else {}
 
-    return {
+    status_payload = {
         "ok": current_model is not None,
         "ready": current_model is not None,
         "modelAvailable": current_model is not None,
@@ -486,3 +733,6 @@ def reload_model():
         "labelConfig": str(DETECTION_LABELS_PATH) if DETECTION_LABELS_PATH else "",
         "labelError": _LABEL_ERROR,
     }
+
+    status_payload.update(pose_model_status())
+    return status_payload

backend/analyze.go

@@ -135,7 +135,7 @@ func autoSelectedAILabelSet() map[string]struct{} {
 	add := func(values []string) {
 		for _, value := range values {
 			label := strings.ToLower(strings.TrimSpace(value))
-			if label == "" || label == "unknown" {
+			if isNoSexPositionLabel(label) {
 				continue
 			}
 			out[label] = struct{}{}
@@ -155,7 +155,7 @@ var autoSelectedAILabelsCache map[string]struct{}
 
 func shouldAutoSelectAnalyzeHit(label string) bool {
 	label = strings.ToLower(strings.TrimSpace(label))
-	if label == "" || label == "unknown" {
+	if isNoSexPositionLabel(label) {
 		return false
 	}
 
@@ -202,7 +202,7 @@ func isIgnoredNSFWLabel(label string) bool {
 
 func addHighlightResult(best map[string]float64, label string, score float64) {
 	label = strings.ToLower(strings.TrimSpace(label))
-	if label == "" || label == "unknown" {
+	if isNoSexPositionLabel(label) {
 		return
 	}
 
@@ -223,7 +223,7 @@ func addScoredHighlightLabels(best map[string]float64, prefix string, items []Tr
 
 	for _, item := range items {
 		label := strings.ToLower(strings.TrimSpace(item.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 
@@ -235,7 +235,7 @@ func trainingPredictionToHighlightResults(pred TrainingPrediction) []NsfwFrameRe
 	best := map[string]float64{}
 
 	sexPosition := strings.ToLower(strings.TrimSpace(pred.SexPosition))
-	if sexPosition != "" && sexPosition != "unknown" && isKnownPositionLabel(sexPosition) {
+	if !isNoSexPositionLabel(sexPosition) && isKnownPositionLabel(sexPosition) {
 		addHighlightResult(best, "position:"+sexPosition, pred.SexPositionScore)
 	}
 
@@ -245,7 +245,7 @@ func trainingPredictionToHighlightResults(pred TrainingPrediction) []NsfwFrameRe
 
 	for _, box := range pred.Boxes {
 		label := strings.ToLower(strings.TrimSpace(box.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 
@@ -264,7 +264,7 @@ func trainingPredictionToHighlightResults(pred TrainingPrediction) []NsfwFrameRe
 	}
 
 	// Kombis nur erzeugen, wenn wirklich Position + Zusatz vorhanden ist.
-	if sexPosition != "" && sexPosition != "unknown" && isKnownPositionLabel(sexPosition) {
+	if !isNoSexPositionLabel(sexPosition) && isKnownPositionLabel(sexPosition) {
 		positionScore := pred.SexPositionScore
 		if positionScore <= 0 {
 			positionScore = 1
@@ -273,7 +273,7 @@ func trainingPredictionToHighlightResults(pred TrainingPrediction) []NsfwFrameRe
 		addCombo := func(prefix string, items []TrainingScoredLabel) {
 			for _, item := range items {
 				label := strings.ToLower(strings.TrimSpace(item.Label))
-				if label == "" || label == "unknown" {
+				if isNoSexPositionLabel(label) {
 					continue
 				}
 
@@ -316,7 +316,7 @@ func pickHighlightResults(results []NsfwFrameResult) []NsfwFrameResult {
 
 	for _, r := range results {
 		label := strings.ToLower(strings.TrimSpace(r.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 
@@ -1075,7 +1075,7 @@ type highlightSignal struct {
 
 func normalizeHighlightSignalLabel(label string) string {
 	label = strings.ToLower(strings.TrimSpace(label))
-	if label == "" || label == "unknown" {
+	if isNoSexPositionLabel(label) {
 		return ""
 	}
 
@@ -1094,28 +1094,28 @@ func normalizeHighlightSignalLabel(label string) string {
 
 	case strings.HasPrefix(label, "body:"):
 		raw := strings.TrimPrefix(label, "body:")
-		if raw == "" || raw == "unknown" {
+		if isNoSexPositionLabel(raw) {
 			return ""
 		}
 		return "body:" + raw
 
 	case strings.HasPrefix(label, "object:"):
 		raw := strings.TrimPrefix(label, "object:")
-		if raw == "" || raw == "unknown" {
+		if isNoSexPositionLabel(raw) {
 			return ""
 		}
 		return "object:" + raw
 
 	case strings.HasPrefix(label, "clothing:"):
 		raw := strings.TrimPrefix(label, "clothing:")
-		if raw == "" || raw == "unknown" {
+		if isNoSexPositionLabel(raw) {
 			return ""
 		}
 		return "clothing:" + raw
 
 	case strings.HasPrefix(label, "position:"):
 		raw := strings.TrimPrefix(label, "position:")
-		if raw == "" || raw == "unknown" || !isKnownPositionLabel(raw) {
+		if isNoSexPositionLabel(raw) || !isKnownPositionLabel(raw) {
 			return ""
 		}
 		return "position:" + raw
@@ -1173,7 +1173,7 @@ func rawAnalyzeSignalSeverityWeight(label string) float64 {
 	}
 
 	raw := normalizeSegmentLabel(label)
-	if raw == "" || raw == "unknown" {
+	if isNoSexPositionLabel(raw) {
 		return 0
 	}
 
@@ -1273,7 +1273,7 @@ func addHighlightSignalsFromScoredLabels(
 
 	for _, item := range items {
 		label := strings.ToLower(strings.TrimSpace(item.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 
@@ -1302,7 +1302,7 @@ func highlightComboPartOrder(label string) int {
 
 func predictionHasAnyAnalyzeSignal(pred TrainingPrediction) bool {
 	sexPosition := strings.ToLower(strings.TrimSpace(pred.SexPosition))
-	if sexPosition != "" && sexPosition != "unknown" {
+	if !isNoSexPositionLabel(sexPosition) {
 		return true
 	}
 
@@ -1342,7 +1342,7 @@ func buildCombinedHighlightHitFromPrediction(pred TrainingPrediction, t float64)
 
 	sexPosition := strings.ToLower(strings.TrimSpace(pred.SexPosition))
 
-	if sexPosition != "" && sexPosition != "unknown" && isKnownPositionLabel(sexPosition) {
+	if !isNoSexPositionLabel(sexPosition) && isKnownPositionLabel(sexPosition) {
 		positionScore := pred.SexPositionScore
 		if positionScore <= 0 {
 			positionScore = 0.35
@@ -1364,7 +1364,7 @@ func buildCombinedHighlightHitFromPrediction(pred TrainingPrediction, t float64)
 
 	for _, box := range pred.Boxes {
 		label := strings.ToLower(strings.TrimSpace(box.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 		if isIgnoredNSFWLabel(label) {
@@ -1540,7 +1540,7 @@ func buildHighlightHitsFromPrediction(pred TrainingPrediction, t float64) []anal
 	best := map[string]highlightSignal{}
 
 	sexPosition := strings.ToLower(strings.TrimSpace(pred.SexPosition))
-	if sexPosition != "" && sexPosition != "unknown" && isKnownPositionLabel(sexPosition) {
+	if !isNoSexPositionLabel(sexPosition) && isKnownPositionLabel(sexPosition) {
 		addHighlightSignal(best, "position:"+sexPosition, pred.SexPositionScore)
 	}
 
@@ -1550,7 +1550,7 @@ func buildHighlightHitsFromPrediction(pred TrainingPrediction, t float64) []anal
 
 	for _, box := range pred.Boxes {
 		label := strings.ToLower(strings.TrimSpace(box.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 		if isIgnoredNSFWLabel(label) {
@@ -2322,7 +2322,7 @@ func mergeAnalyzeHits(in []analyzeHit) []analyzeHit {
 
 	for _, h := range in {
 		label := strings.ToLower(strings.TrimSpace(h.Label))
-		if label == "" || label == "unknown" {
+		if isNoSexPositionLabel(label) {
 			continue
 		}
 		if isIgnoredNSFWLabel(label) || isPersonSegmentLabel(label) {
@@ -2542,7 +2542,7 @@ type analyzeLabelSegmentPoint struct {
 
 func isAllowedAnalyzeSegmentLabel(label string) bool {
 	label = strings.ToLower(strings.TrimSpace(label))
-	if label == "" || label == "unknown" {
+	if isNoSexPositionLabel(label) {
 		return false
 	}
 	if isIgnoredNSFWLabel(label) || isPersonSegmentLabel(label) {
@@ -2559,7 +2559,7 @@ func isAllowedAnalyzeSegmentLabel(label string) bool {
 	}
 
 	raw := normalizeSegmentLabel(label)
-	if raw == "" || raw == "unknown" {
+	if isNoSexPositionLabel(raw) {
 		return false
 	}
 

backend/disk_guard.go

@@ -76,20 +76,29 @@ func stopJobsInternal(list []*RecordJob) {
 	}
 
 	pl := make([]payload, 0, len(list))
+	ids := make([]string, 0, len(list))
+	nowMs := time.Now().UnixMilli()
 
 	jobsMu.Lock()
 	for _, job := range list {
 		if job == nil {
 			continue
 		}
+		if job.EndedAt != nil || isTerminalJobStatus(job.Status) || isPostworkJob(job) {
+			continue
+		}
+
 		job.Phase = "stopping"
 		job.Progress = 10
+		job.StopRequestedAtMs = nowMs
+		job.StopAttempts++
 
 		pl = append(pl, payload{
 			cmd:           job.previewCmd,
 			cancel:        job.cancel,
 			previewCancel: job.previewCancel,
 		})
+		ids = append(ids, job.ID)
 
 		job.previewCmd = nil
 		job.previewCancel = nil
@@ -98,6 +107,11 @@ func stopJobsInternal(list []*RecordJob) {
 	}
 	jobsMu.Unlock()
 
+	for _, id := range ids {
+		_ = publishJobSnapshot(id)
+		_ = publishModelJobUpsert(id)
+	}
+
 	for _, p := range pl {
 		if p.previewCancel != nil {
 			p.previewCancel()
@@ -109,6 +123,11 @@ func stopJobsInternal(list []*RecordJob) {
 			p.cancel()
 		}
 	}
+
+	for _, id := range ids {
+		_ = publishJobSnapshot(id)
+		_ = publishModelJobUpsert(id)
+	}
 }
 
 func stopAllStoppableJobs() int {

backend/embed.go

@@ -8,9 +8,17 @@ import (
 	"path/filepath"
 )
 
-//go:embed ml/*.py ai_server.py .env recorder-cert.pem recorder-key.pem generated/training/detection_labels.json
+//go:embed ml/*.py ml/detection_labels.json ai_server.py .env recorder-cert.pem recorder-key.pem yolo26n-pose.pt
 var embeddedMLFiles embed.FS
 
+func embeddedWriteFileIfNeeded(dstPath string, b []byte, perm os.FileMode) error {
+	if fi, err := os.Stat(dstPath); err == nil && fi != nil && !fi.IsDir() && fi.Size() == int64(len(b)) {
+		return nil
+	}
+
+	return os.WriteFile(dstPath, b, perm)
+}
+
 func trainingEmbeddedMLDir() (string, error) {
 	dir := filepath.Join(os.TempDir(), "nsfwapp-ml")
 
@@ -22,6 +30,8 @@ func trainingEmbeddedMLDir() (string, error) {
 		"predict_detector_model.py",
 		"train_detector_model.py",
 		"detection_labels.json",
+		"predict_pose_model.py",
+		"train_pose_model.py",
 	}
 
 	// Falls du die alten Scene-Skripte noch embedded hast, kannst du sie optional mitkopieren.
@@ -33,10 +43,6 @@ func trainingEmbeddedMLDir() (string, error) {
 	for _, name := range append(files, optionalFiles...) {
 		srcPath := filepath.ToSlash(filepath.Join("ml", name))
 
-		if name == "detection_labels.json" {
-			srcPath = "generated/training/detection_labels.json"
-		}
-
 		b, err := embeddedMLFiles.ReadFile(srcPath)
 		if err != nil {
 			// Pflichtdateien müssen vorhanden sein.
@@ -51,14 +57,24 @@ func trainingEmbeddedMLDir() (string, error) {
 		}
 
 		dstPath := filepath.Join(dir, name)
-		if err := os.WriteFile(dstPath, b, 0644); err != nil {
+		if err := embeddedWriteFileIfNeeded(dstPath, b, 0644); err != nil {
 			return "", err
 		}
 	}
 
+	if _, err := embeddedPoseModelPath(); err != nil {
+		return "", err
+	}
+
 	return dir, nil
 }
 
+func embeddedMLScriptExists(name string) bool {
+	srcPath := filepath.ToSlash(filepath.Join("ml", name))
+	_, err := embeddedMLFiles.ReadFile(srcPath)
+	return err == nil
+}
+
 func embeddedAIServerDir() (string, error) {
 	dir := filepath.Join(os.TempDir(), "nsfwapp-ai-server")
 
@@ -72,13 +88,33 @@ func embeddedAIServerDir() (string, error) {
 	}
 
 	dstPath := filepath.Join(dir, "ai_server.py")
-	if err := os.WriteFile(dstPath, b, 0644); err != nil {
+	if err := embeddedWriteFileIfNeeded(dstPath, b, 0644); err != nil {
 		return "", err
 	}
 
 	return dir, nil
 }
 
+func embeddedPoseModelPath() (string, error) {
+	dir := filepath.Join(os.TempDir(), "nsfwapp-ml")
+
+	if err := os.MkdirAll(dir, 0755); err != nil {
+		return "", err
+	}
+
+	b, err := embeddedMLFiles.ReadFile("yolo26n-pose.pt")
+	if err != nil {
+		return "", err
+	}
+
+	dstPath := filepath.Join(dir, "yolo26n-pose.pt")
+	if err := embeddedWriteFileIfNeeded(dstPath, b, 0644); err != nil {
+		return "", err
+	}
+
+	return dstPath, nil
+}
+
 func embeddedDotEnvBytes() ([]byte, error) {
 	return embeddedMLFiles.ReadFile(".env")
 }

backend/log.go

@@ -103,6 +103,9 @@ func appLogWriter() io.Writer {
 
 func appLogWriteLine(line string) {
 	line = strings.TrimRight(line, "\r\n")
+	if appLogLineSuppressed(line) {
+		return
+	}
 
 	ts := time.Now().Format("2006-01-02 15:04:05")
 	out := fmt.Sprintf("[%s] %s\n", ts, line)
@@ -130,11 +133,71 @@ func appLogf(format string, args ...any) {
 // erwartbare und sehr häufige Fehler (z.B. abgelaufene HLS-Edge-URLs während
 // eines Stream-Reconnects). Der Fehler wird weiterhin zurückgegeben, damit die
 // Retry-/Reconnect-Logik unverändert funktioniert – nur die Log-Zeile entfällt.
+func appLogLineSuppressed(line string) bool {
+	m := strings.ToLower(strings.TrimSpace(line))
+	if m == "" {
+		return true
+	}
+
+	if strings.Contains(m, "get playlist: context canceled") {
+		return true
+	}
+
+	if strings.Contains(m, "usernamelookup ohne user.id") {
+		return true
+	}
+
+	if strings.Contains(m, "mfc status failed") &&
+		(strings.Contains(m, "user not found") || strings.Contains(m, "usernamelookup")) {
+		return true
+	}
+
+	if strings.Contains(m, "mfc playlist candidate failed") &&
+		(strings.Contains(m, "http 403") || strings.Contains(m, "http 404")) {
+		return true
+	}
+
+	if strings.Contains(m, "mfc lookup:") {
+		return true
+	}
+
+	isHLS := strings.Contains(m, ".m3u8") ||
+		strings.Contains(m, "abruf der m3u8") ||
+		strings.Contains(m, "variant-playlist")
+
+	if isHLS && strings.Contains(m, "http 403") {
+		return true
+	}
+
+	if isHLS && (strings.Contains(m, "http 500") ||
+		strings.Contains(m, "http 502") ||
+		strings.Contains(m, "http 503") ||
+		strings.Contains(m, "http 504")) {
+		return true
+	}
+
+	return false
+}
+
+func appLogFilterText(text string) string {
+	lines := strings.Split(text, "\n")
+	out := make([]string, 0, len(lines))
+
+	for _, line := range lines {
+		if appLogLineSuppressed(line) {
+			continue
+		}
+		out = append(out, line)
+	}
+
+	return strings.Join(out, "\n")
+}
+
 func appErrorLogSuppressed(msg string) bool {
 	m := strings.ToLower(msg)
 
-	return strings.Contains(m, "leere hls url") ||
+	return appLogLineSuppressed(msg) ||
-		strings.Contains(m, "http 403")
+		strings.Contains(m, "leere hls url")
 }
 
 func appErrorf(format string, args ...any) error {
@@ -243,7 +306,7 @@ func appLogHandler(w http.ResponseWriter, r *http.Request) {
 		}
 	}
 
-	logText := string(buf)
+	logText := appLogFilterText(string(buf))
 	if offset > 0 {
 		logText = "… Log gekürzt, zeige die letzten " + fmt.Sprint(maxBytes/1024) + " KB …\n\n" + logText
 	}

backend/main.go

@@ -97,6 +97,8 @@ type RecordJob struct {
 	// ✅ Frontend Progress beim Stop/Finalize
 	Phase             string `json:"phase,omitempty"`             // stopping | remuxing | moving
 	Progress          int    `json:"progress,omitempty"`          // 0..100
+	StopRequestedAtMs int64  `json:"stopRequestedAtMs,omitempty"` // ms since epoch
+	StopAttempts      int    `json:"stopAttempts,omitempty"`
 
 	PostWorkKey string             `json:"postWorkKey,omitempty"`
 	PostWork    *PostWorkKeyStatus `json:"postWork,omitempty"`
@@ -116,6 +118,8 @@ type jobEventSnapshot struct {
 	Error             string
 	Phase             string
 	Progress          int
+	StopRequestedAtMs int64
+	StopAttempts      int
 	SizeBytes         int64
 	DurationSeconds   float64
 	PreviewState      string
@@ -177,6 +181,8 @@ func publishJobUpsertSnapshot(s jobEventSnapshot) {
 		"error":             s.Error,
 		"phase":             s.Phase,
 		"progress":          s.Progress,
+		"stopRequestedAtMs": s.StopRequestedAtMs,
+		"stopAttempts":      s.StopAttempts,
 		"sizeBytes":         s.SizeBytes,
 		"durationSeconds":   s.DurationSeconds,
 		"previewState":      s.PreviewState,
@@ -233,6 +239,8 @@ func publishJobSnapshot(jobID string) bool {
 		Error:             job.Error,
 		Phase:             job.Phase,
 		Progress:          job.Progress,
+		StopRequestedAtMs: job.StopRequestedAtMs,
+		StopAttempts:      job.StopAttempts,
 		SizeBytes:         job.SizeBytes,
 		DurationSeconds:   job.DurationSeconds,
 		PreviewState:      job.PreviewState,

backend/ml/detection_labels.json

@@ -0,0 +1,56 @@
+{
+  "people": [
+    "person_female",
+    "person_male"
+  ],
+  "sexPositions": [
+    "keine",
+    "missionary",
+    "doggy",
+    "cowgirl",
+    "reverse_cowgirl",
+    "cunnilingus",
+    "prone_bone",
+    "standing",
+    "standing_doggy",
+    "spooning",
+    "facesitting",
+    "handjob",
+    "blowjob",
+    "boobjob",
+    "toy_play",
+    "fingering",
+    "69"
+  ],
+  "bodyParts": [
+    "anus",
+    "ass",
+    "breasts",
+    "penis",
+    "tongue",
+    "pussy"
+  ],
+  "objects": [
+    "blindfold",
+    "buttplug",
+    "collar",
+    "dildo",
+    "handcuffs",
+    "shower",
+    "strapon",
+    "towel",
+    "vibrator"
+  ],
+  "clothing": [
+    "bikini",
+    "bra",
+    "dress",
+    "heels",
+    "hotpants",
+    "lingerie",
+    "panties",
+    "skirt",
+    "stockings",
+    "croptop"
+  ]
+}

backend/ml/predict_detector_model.py

@@ -13,10 +13,36 @@ def clamp01(v):
     return max(0.0, min(1.0, float(v)))
 
 
+def existing_file(path):
+    try:
+        p = Path(path).expanduser().resolve()
+        if p.exists() and p.is_file() and p.stat().st_size > 0:
+            return p
+    except Exception:
+        pass
+    return None
+
+
+def resolve_model_path(root, requested):
+    if requested:
+        p = existing_file(requested)
+        if p:
+            return p, "yolo26_model"
+        return Path(requested).expanduser(), "detector_missing"
+
+    trained = root / "detector" / "model" / "best.pt"
+    p = existing_file(trained)
+    if p:
+        return p, "yolo26_detector"
+
+    return trained, "detector_missing"
+
+
 def main():
     parser = argparse.ArgumentParser()
     parser.add_argument("--root", required=True)
     parser.add_argument("--image", required=True)
+    parser.add_argument("--model", default="")
     parser.add_argument("--conf", type=float, default=0.30)
     parser.add_argument("--imgsz", type=int, default=640)
     parser.add_argument("--debug-image", action="store_true")
@@ -25,11 +51,11 @@ def main():
     root = Path(args.root)
     image_path = Path(args.image)
 
-    model_path = root / "detector" / "model" / "best.pt"
+    model_path, model_source = resolve_model_path(root, args.model)
     if not model_path.exists():
         print(json.dumps({
             "available": False,
-            "source": "detector_missing",
+            "source": model_source,
             "modelPath": str(model_path),
             "boxes": [],
         }, ensure_ascii=False))
@@ -124,7 +150,7 @@ def main():
 
     print(json.dumps({
         "available": True,
-        "source": "yolo26_detector",
+        "source": model_source,
         "modelPath": str(model_path),
         "image": str(image_path),
         "conf": float(args.conf),

backend/ml/predict_pose_model.py

@@ -0,0 +1,210 @@
+# backend/ml/predict_pose_model.py
+
+import argparse
+import json
+from pathlib import Path
+
+from PIL import Image
+from ultralytics import YOLO
+import torch
+
+KEYPOINT_NAMES = [
+    "nose",
+    "left_eye", "right_eye",
+    "left_ear", "right_ear",
+    "left_shoulder", "right_shoulder",
+    "left_elbow", "right_elbow",
+    "left_wrist", "right_wrist",
+    "left_hip", "right_hip",
+    "left_knee", "right_knee",
+    "left_ankle", "right_ankle",
+]
+
+BASE_MODEL_NAME = "yolo26n-pose.pt"
+
+
+def existing_file(path):
+    try:
+        p = Path(path).expanduser().resolve()
+        if p.exists() and p.is_file() and p.stat().st_size > 0:
+            return p
+    except Exception:
+        pass
+    return None
+
+
+def base_model_candidates(root):
+    script_dir = Path(__file__).resolve().parent
+
+    return [
+        script_dir / BASE_MODEL_NAME,
+        Path.cwd() / BASE_MODEL_NAME,
+        root / BASE_MODEL_NAME,
+        root.parent / BASE_MODEL_NAME,
+        root.parent.parent / BASE_MODEL_NAME,
+    ]
+
+
+def resolve_model_path(root, requested):
+    if requested:
+        p = existing_file(requested)
+        if p:
+            return p, "yolo_pose_model"
+        return Path(requested).expanduser(), "pose_missing"
+
+    trained = root / "pose" / "model" / "best.pt"
+    p = existing_file(trained)
+    if p:
+        return p, "yolo_pose"
+
+    for candidate in base_model_candidates(root):
+        p = existing_file(candidate)
+        if p:
+            return p, "yolo26_pose_base"
+
+    return trained, "pose_missing"
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--root", required=True)
+    parser.add_argument("--image", required=True)
+    parser.add_argument("--model", default="")
+    parser.add_argument("--conf", type=float, default=0.30)
+    parser.add_argument("--imgsz", type=int, default=640)
+    args = parser.parse_args()
+
+    root = Path(args.root)
+    image_path = Path(args.image)
+
+    model_path, model_source = resolve_model_path(root, args.model)
+    if not model_path.exists():
+        print(json.dumps({
+            "available": False,
+            "source": model_source,
+            "modelPath": str(model_path),
+            "persons": [],
+        }, ensure_ascii=False))
+        return
+
+    img = Image.open(image_path).convert("RGB")
+    img_w, img_h = img.size
+
+    try:
+        model = YOLO(str(model_path))
+    except Exception as e:
+        print(json.dumps({
+            "available": False,
+            "source": "pose_load_failed",
+            "modelPath": str(model_path),
+            "error": repr(e),
+            "persons": [],
+        }, ensure_ascii=False))
+        return
+
+    device = 0 if torch.cuda.is_available() else "cpu"
+
+    try:
+        results = model.predict(
+            source=str(image_path),
+            conf=float(args.conf),
+            imgsz=int(args.imgsz),
+            verbose=False,
+            device=device,
+        )
+    except Exception as e:
+        print(json.dumps({
+            "available": False,
+            "source": "pose_predict_failed",
+            "modelPath": str(model_path),
+            "image": str(image_path),
+            "error": repr(e),
+            "persons": [],
+        }, ensure_ascii=False))
+        return
+
+    persons = []
+
+    if results:
+        r = results[0]
+        names = r.names or {}
+
+        kpts_xyn = None
+        kpts_conf = None
+
+        if r.keypoints is not None:
+            try:
+                kpts_xyn = r.keypoints.xyn.cpu().numpy()
+            except Exception:
+                kpts_xyn = None
+            try:
+                kpts_conf = r.keypoints.conf.cpu().numpy()
+            except Exception:
+                kpts_conf = None
+
+        if r.boxes is not None:
+            for i, b in enumerate(r.boxes):
+                score = float(b.conf[0].item())
+                label = ""
+                try:
+                    cls_id = int(b.cls[0].item())
+                    label = str(names.get(cls_id, cls_id)).strip().lower()
+                except Exception:
+                    label = ""
+
+                x1, y1, x2, y2 = [float(v) for v in b.xyxy[0].tolist()]
+                x1 = max(0.0, min(float(img_w), x1))
+                y1 = max(0.0, min(float(img_h), y1))
+                x2 = max(0.0, min(float(img_w), x2))
+                y2 = max(0.0, min(float(img_h), y2))
+
+                if x2 <= x1 or y2 <= y1:
+                    continue
+
+                box = {
+                    "x": x1 / img_w,
+                    "y": y1 / img_h,
+                    "w": (x2 - x1) / img_w,
+                    "h": (y2 - y1) / img_h,
+                }
+
+                keypoints = []
+                if kpts_xyn is not None and i < len(kpts_xyn):
+                    person_kpts = kpts_xyn[i]
+                    for ki, (kx, ky) in enumerate(person_kpts):
+                        kconf = 0.0
+                        if kpts_conf is not None and i < len(kpts_conf) and ki < len(kpts_conf[i]):
+                            kconf = float(kpts_conf[i][ki])
+
+                        name = KEYPOINT_NAMES[ki] if ki < len(KEYPOINT_NAMES) else str(ki)
+                        keypoints.append({
+                            "name": name,
+                            "x": float(kx),
+                            "y": float(ky),
+                            "conf": kconf,
+                        })
+
+                persons.append({
+                    "label": label,
+                    "score": score,
+                    "box": box,
+                    "keypoints": keypoints,
+                })
+
+    print(json.dumps({
+        "available": True,
+        "source": model_source,
+        "modelPath": str(model_path),
+        "image": str(image_path),
+        "conf": float(args.conf),
+        "imgsz": int(args.imgsz),
+        "device": str(device),
+        "imageWidth": img_w,
+        "imageHeight": img_h,
+        "personCount": len(persons),
+        "persons": persons,
+    }, ensure_ascii=False))
+
+
+if __name__ == "__main__":
+    main()

backend/ml/train_pose_model.py

@@ -0,0 +1,385 @@
+# backend/ml/train_pose_model.py
+
+import argparse
+import json
+import shutil
+from datetime import datetime, timezone
+from pathlib import Path
+
+from ultralytics import YOLO
+from ultralytics.models.yolo.pose.train import PoseTrainer
+
+BASE_MODEL_NAME = "yolo26n-pose.pt"
+
+
+def emit_progress(stage, progress, message="", **extra):
+    out = {
+        "type": "progress",
+        "stage": stage,
+        "progress": max(0.0, min(1.0, float(progress))),
+        "message": message,
+    }
+    out.update(extra)
+    print(json.dumps(out, ensure_ascii=False), flush=True)
+
+
+def count_yolo_samples(dataset_root: Path, split: str) -> int:
+    images_dir = dataset_root / "images" / split
+    labels_dir = dataset_root / "labels" / split
+
+    if not images_dir.exists() or not labels_dir.exists():
+        return 0
+
+    image_exts = {".jpg", ".jpeg", ".png", ".webp"}
+    count = 0
+
+    for image_path in images_dir.iterdir():
+        if not image_path.is_file():
+            continue
+
+        if image_path.suffix.lower() not in image_exts:
+            continue
+
+        label_path = labels_dir / f"{image_path.stem}.txt"
+        if label_path.exists() and label_path.is_file():
+            count += 1
+
+    return count
+
+
+def safe_int(value, fallback):
+    try:
+        return int(value)
+    except Exception:
+        return fallback
+
+
+def existing_file(path):
+    try:
+        p = Path(path).expanduser().resolve()
+        if p.exists() and p.is_file() and p.stat().st_size > 0:
+            return p
+    except Exception:
+        pass
+    return None
+
+
+def base_model_candidates(root):
+    script_dir = Path(__file__).resolve().parent
+
+    return [
+        script_dir / BASE_MODEL_NAME,
+        Path.cwd() / BASE_MODEL_NAME,
+        root / BASE_MODEL_NAME,
+        root.parent / BASE_MODEL_NAME,
+        root.parent.parent / BASE_MODEL_NAME,
+    ]
+
+
+def resolve_base_model(root, requested):
+    requested = str(requested or "").strip()
+
+    if requested and requested != BASE_MODEL_NAME:
+        p = existing_file(requested)
+        if p:
+            return str(p)
+        return requested
+
+    for candidate in base_model_candidates(root):
+        p = existing_file(candidate)
+        if p:
+            return str(p)
+
+    return requested or BASE_MODEL_NAME
+
+
+def batch_sample_ids(batch):
+    if not isinstance(batch, dict):
+        return []
+
+    image_paths = batch.get("im_file")
+    if not image_paths:
+        return []
+
+    if isinstance(image_paths, (str, Path)):
+        image_paths = [image_paths]
+
+    out = []
+    seen = set()
+
+    for image_path in image_paths:
+        stem = Path(str(image_path)).stem.strip()
+        if stem and stem not in seen:
+            seen.add(stem)
+            out.append(stem)
+
+    return out
+
+
+def progress_pose_trainer(train_count, val_count, train_device, fallback_epochs):
+    class ProgressPoseTrainer(PoseTrainer):
+        def __init__(self, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            self._preview_epoch = 0
+            self._preview_batch = 0
+
+        def preprocess_batch(self, batch):
+            epoch = int(getattr(self, "epoch", 0)) + 1
+            total_epochs = int(getattr(self, "epochs", fallback_epochs) or fallback_epochs)
+
+            if epoch != self._preview_epoch:
+                self._preview_epoch = epoch
+                self._preview_batch = 0
+
+            self._preview_batch += 1
+
+            sample_ids = batch_sample_ids(batch)
+            if sample_ids:
+                total_batches = max(1, len(self.train_loader))
+                completed = (epoch - 1) + min(1.0, self._preview_batch / total_batches)
+                progress = 0.04 + 0.90 * (completed / max(1, total_epochs))
+
+                emit_progress(
+                    "pose",
+                    progress,
+                    "Pose Detector trainiert…",
+                    epoch=epoch,
+                    epochs=total_epochs,
+                    sampleId=sample_ids[0],
+                    trainSamples=train_count,
+                    valSamples=val_count,
+                    device=str(train_device),
+                )
+
+            return super().preprocess_batch(batch)
+
+    return ProgressPoseTrainer
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--root", required=True)
+    parser.add_argument("--base", default="yolo26n-pose.pt")
+    parser.add_argument("--epochs", default="80")
+    parser.add_argument("--imgsz", default="640")
+    parser.add_argument("--device", default="auto")
+    parser.add_argument("--workers", default="2")
+    parser.add_argument("--patience", default="20")
+    args = parser.parse_args()
+
+    import torch
+
+    root = Path(args.root).resolve()
+    dataset_root = root / "pose" / "dataset"
+    yaml_path = dataset_root / "dataset.yaml"
+    runs_dir = root / "pose" / "runs"
+    out_dir = root / "pose" / "model"
+
+    epochs = max(1, safe_int(args.epochs, 80))
+    imgsz = max(64, safe_int(args.imgsz, 640))
+    workers = max(0, safe_int(args.workers, 2))
+    patience = max(0, safe_int(args.patience, 20))
+
+    if str(args.device).lower() == "auto":
+        train_device = 0 if torch.cuda.is_available() else "cpu"
+    else:
+        train_device = args.device
+
+    if not yaml_path.exists():
+        raise SystemExit(f"dataset.yaml not found: {yaml_path}")
+
+    train_count = count_yolo_samples(dataset_root, "train")
+    val_count = count_yolo_samples(dataset_root, "val")
+
+    emit_progress(
+        "pose",
+        0.01,
+        "YOLO-Pose-Dataset wird geprüft…",
+        trainSamples=train_count,
+        valSamples=val_count,
+        epochs=epochs,
+        imgsz=imgsz,
+        device=str(train_device),
+    )
+
+    if train_count <= 0:
+        raise SystemExit("no YOLO pose train samples found")
+
+    if val_count <= 0:
+        raise SystemExit("no YOLO pose val samples found")
+
+    emit_progress(
+        "pose",
+        0.03,
+        "YOLO-Pose-Basismodell wird geladen…",
+        base=resolve_base_model(root, args.base),
+        device=str(train_device),
+    )
+
+    base_model = resolve_base_model(root, args.base)
+    model = YOLO(base_model)
+
+    best_epoch = 0
+    last_epoch = 0
+    best_map50 = 0.0
+    best_map5095 = 0.0
+
+    def on_train_epoch_start(trainer):
+        epoch = int(getattr(trainer, "epoch", 0)) + 1
+        total = int(getattr(trainer, "epochs", epochs) or epochs)
+
+        emit_progress(
+            "pose",
+            0.04 + 0.90 * ((epoch - 1) / max(1, total)),
+            "Pose Detector trainiert…",
+            epoch=epoch,
+            epochs=total,
+            trainSamples=train_count,
+            valSamples=val_count,
+            device=str(train_device),
+        )
+
+    def on_train_epoch_end(trainer):
+        nonlocal last_epoch
+
+        epoch = int(getattr(trainer, "epoch", 0)) + 1
+        total = int(getattr(trainer, "epochs", epochs) or epochs)
+        last_epoch = max(last_epoch, epoch)
+
+        emit_progress(
+            "pose",
+            0.04 + 0.90 * (epoch / max(1, total)),
+            "Pose Detector trainiert…",
+            epoch=epoch,
+            epochs=total,
+            trainSamples=train_count,
+            valSamples=val_count,
+            device=str(train_device),
+        )
+
+    def on_fit_epoch_end(trainer):
+        nonlocal best_epoch, best_map50, best_map5095
+
+        epoch = int(getattr(trainer, "epoch", 0)) + 1
+        total = int(getattr(trainer, "epochs", epochs) or epochs)
+        metrics = getattr(trainer, "metrics", None) or {}
+
+        map50 = (
+            metrics.get("metrics/mAP50(B)")
+            or metrics.get("metrics/mAP50")
+            or metrics.get("mAP50")
+        )
+        map5095 = (
+            metrics.get("metrics/mAP50-95(B)")
+            or metrics.get("metrics/mAP50-95")
+            or metrics.get("mAP50-95")
+        )
+
+        if map50 is not None or map5095 is not None:
+            best_epoch = epoch
+
+            m50 = float(map50) if map50 is not None else 0.0
+            if m50 >= best_map50:
+                best_map50 = m50
+                if map5095 is not None:
+                    best_map5095 = float(map5095)
+
+        emit_progress(
+            "pose",
+            0.04 + 0.90 * (epoch / max(1, total)),
+            "Pose Detector validiert…",
+            epoch=epoch,
+            epochs=total,
+            mAP50=map50,
+            mAP5095=map5095,
+            device=str(train_device),
+        )
+
+    model.add_callback("on_train_epoch_start", on_train_epoch_start)
+    model.add_callback("on_train_epoch_end", on_train_epoch_end)
+    model.add_callback("on_fit_epoch_end", on_fit_epoch_end)
+
+    emit_progress(
+        "pose",
+        0.05,
+        "Pose Detector Training startet…",
+        trainSamples=train_count,
+        valSamples=val_count,
+        epochs=epochs,
+        imgsz=imgsz,
+        device=str(train_device),
+    )
+
+    result = model.train(
+        trainer=progress_pose_trainer(
+            train_count,
+            val_count,
+            train_device,
+            epochs,
+        ),
+        data=str(yaml_path),
+        epochs=epochs,
+        imgsz=imgsz,
+        project=str(runs_dir),
+        name="pose",
+        exist_ok=True,
+        device=train_device,
+        workers=workers,
+        patience=patience,
+    )
+
+    emit_progress(
+        "pose",
+        0.96,
+        "Bestes YOLO-Pose-Modell wird übernommen…",
+        lastEpoch=last_epoch,
+        bestEpoch=best_epoch,
+        device=str(train_device),
+    )
+
+    best = runs_dir / "pose" / "weights" / "best.pt"
+    last = runs_dir / "pose" / "weights" / "last.pt"
+
+    if not best.exists():
+        if last.exists():
+            best = last
+        else:
+            raise SystemExit(f"best.pt not found after training: {best}")
+
+    out_dir.mkdir(parents=True, exist_ok=True)
+
+    final_model = out_dir / "best.pt"
+    shutil.copy2(best, final_model)
+
+    result_path = runs_dir / "pose"
+    status = {
+        "ok": True,
+        "model": str(final_model),
+        "sourceModel": str(best),
+        "runs": str(result_path),
+        "trainedAt": datetime.now(timezone.utc).isoformat(),
+        "trainSamples": train_count,
+        "valSamples": val_count,
+        "epochs": epochs,
+        "imgsz": imgsz,
+        "device": str(train_device),
+        "mAP50": round(best_map50, 4),
+        "mAP5095": round(best_map5095, 4),
+        "bestEpoch": best_epoch,
+    }
+
+    with (out_dir / "status.json").open("w", encoding="utf-8") as f:
+        json.dump(status, f, ensure_ascii=False, indent=2)
+
+    emit_progress(
+        "pose",
+        1.0,
+        "Pose Detector fertig.",
+        **status,
+    )
+
+    print(json.dumps(status, ensure_ascii=False), flush=True)
+
+
+if __name__ == "__main__":
+    main()

backend/rating.go

@@ -121,10 +121,12 @@ func isPersonSegmentLabel(label string) bool {
 
 func isKnownPositionLabel(label string) bool {
 	label = strings.ToLower(strings.TrimSpace(label))
+	if isNoSexPositionLabel(label) {
+		return false
+	}
 
 	switch label {
-	case "unknown",
+	case "missionary",
-		"missionary",
 		"doggy",
 		"doggystyle",
 		"cowgirl",
@@ -306,7 +308,7 @@ type ratingSignalSet struct {
 
 func normalizeRatingSignalLabel(label string) string {
 	label = strings.ToLower(strings.TrimSpace(label))
-	if label == "" || label == "unknown" {
+	if isNoSexPositionLabel(label) {
 		return ""
 	}
 
@@ -359,7 +361,7 @@ func normalizeRatingSignalLabel(label string) string {
 	}
 
 	raw := normalizeSegmentLabel(label)
-	if raw == "" || raw == "unknown" {
+	if isNoSexPositionLabel(raw) {
 		return ""
 	}
 

backend/record.go

@@ -1540,13 +1540,21 @@ func recordStop(w http.ResponseWriter, r *http.Request) {
 
 	jobsMu.RLock()
 	job, ok := jobs[id]
+	shouldStop := ok &&
+		job != nil &&
+		job.EndedAt == nil &&
+		!isTerminalJobStatus(job.Status) &&
+		!isPostworkJob(job)
 	jobsMu.RUnlock()
 	if !ok {
 		http.Error(w, "job nicht gefunden", http.StatusNotFound)
 		return
 	}
 
+	if shouldStop {
 		stopJobsInternal([]*RecordJob{job})
+	}
+
 	respondJSON(w, job)
 }
 

backend/record_stream_hls.go

@@ -1206,6 +1206,13 @@ func recordHLSPlaylistSegments(
 
 	shouldFinalize := parentCanceled || endOfStream || finalErr == nil
 
+	if parentCanceled {
+		if verboseLogs() {
+			appLogln("⏹️", logPrefix, "stop requested; deferring audio/video mux to postwork")
+		}
+		return ctx.Err()
+	}
+
 	if shouldFinalize {
 		if !fileExistsNonEmpty(outFile) {
 			if finalErr != nil {

backend/record_stream_mfc.go

@@ -63,7 +63,11 @@ func RecordStreamMFC(
 			return appErrorf("mfc status blieb %s für %s", lastStatus, username)
 		}
 
-		time.Sleep(5 * time.Second)
+		select {
+		case <-ctx.Done():
+			return ctx.Err()
+		case <-time.After(5 * time.Second):
+		}
 	}
 
 	if job != nil {

backend/recorder.go

@@ -354,8 +354,6 @@ func waitForUsableOutput(path string, timeout time.Duration) (os.FileInfo, error
 			lastErr = appErrorf("stat returned nil")
 		} else if fi.IsDir() {
 			lastErr = appErrorf("path is dir")
-		} else {
-			lastErr = appErrorf("file size is 0")
 		}
 
 		if time.Now().After(deadline) {
@@ -411,8 +409,6 @@ func waitForStableUsableOutput(path string, timeout time.Duration, stableFor tim
 				lastErr = appErrorf("stat returned nil")
 			} else if fi.IsDir() {
 				lastErr = appErrorf("path is dir")
-			} else {
-				lastErr = appErrorf("file size is 0")
 			}
 		}
 

backend/server.go

@@ -112,6 +112,7 @@ var (
 	aiServerMu      sync.Mutex
 	aiServerCurrent *aiServerProcess
 	aiServerCtx     context.Context
+	aiServerRoot    string
 )
 
 func aiServerAutostartEnabled() bool {
@@ -349,13 +350,17 @@ func findTrainingRootDir(scriptDir string) (trainingRoot string, appBaseDir stri
 
 	// Wichtig für Entwicklung:
 	// findAIServerScriptDir() findet meistens dein backend-Verzeichnis.
+	if scriptDir != "" && !isTempBuildDir(scriptDir) {
 		add(scriptDir)
+	}
 
 	// Falls du aus repo-root oder backend startest.
 	add(cwd)
 
 	// Wichtig für gebaute EXE.
+	if exeDir != "" && !isTempBuildDir(exeDir) {
 		add(exeDir)
+	}
 
 	// Bevorzugt den Pfad, wo detection_labels.json liegt.
 	for _, c := range candidates {
@@ -472,6 +477,7 @@ func startAIServer(ctx context.Context) (*aiServerProcess, error) {
 	}
 
 	trainingRoot, appBaseDir := findTrainingRootDir(scriptDir)
+	aiServerRoot = trainingRoot
 
 	mlDir, mlErr := trainingEmbeddedMLDir()
 	if mlErr != nil {
@@ -493,7 +499,8 @@ func startAIServer(ctx context.Context) (*aiServerProcess, error) {
 		detectionLabelsPath = filepath.Clean(detectionLabelsPath)
 	}
 
-	defaultModelPath := filepath.Join(trainingRoot, "detector", "model", "best.pt")
+	defaultModel := trainingResolveDetectorModel(trainingRoot)
+	defaultModelPath := defaultModel.EffectivePath
 
 	pythonPath := aiServerPythonPath()
 	port := aiServerPortFromURL()
@@ -550,7 +557,7 @@ func startAIServer(ctx context.Context) (*aiServerProcess, error) {
 	if fi, err := os.Stat(defaultModelPath); err != nil || fi == nil || fi.IsDir() {
 		appLogln("⚠️ YOLO Modell nicht gefunden:", defaultModelPath)
 	} else {
-		appLogln("✅ YOLO Modell:", defaultModelPath)
+		appLogln("✅ YOLO Modell:", defaultModelPath, "Quelle:", defaultModel.Source)
 	}
 
 	if strings.TrimSpace(os.Getenv("YOLO_IMGSZ")) == "" {
@@ -647,8 +654,10 @@ func restartAIServer() {
 		return
 	}
 
-	if aiServerCurrent != nil {
 	appLogln("🔄 AI Server wird neu gestartet…")
+	publishAppNotification("info", "AI Server", "AI Server wird neu gestartet…", 2200)
+
+	if aiServerCurrent != nil {
 		aiServerCurrent.Stop()
 		aiServerCurrent = nil
 	}
@@ -656,6 +665,7 @@ func restartAIServer() {
 	proc, err := startAIServer(ctx)
 	if err != nil {
 		appLogln("⚠️ AI Server Neustart fehlgeschlagen:", err)
+		publishAppNotification("warning", "AI Server", "Neustart fehlgeschlagen: "+err.Error(), 5000)
 		return
 	}
 
@@ -663,6 +673,97 @@ func restartAIServer() {
 
 	if proc != nil {
 		appLogln("✅ AI Server neu gestartet.")
+		publishAppNotification("success", "AI Server", "AI Server wurde neu gestartet.", 2600)
+	}
+}
+
+type trainingBestModelSnapshot struct {
+	exists  bool
+	size    int64
+	modTime time.Time
+}
+
+func snapshotTrainingBestModel(path string) trainingBestModelSnapshot {
+	fi, err := os.Stat(path)
+	if err != nil || fi == nil || fi.IsDir() || fi.Size() <= 0 {
+		return trainingBestModelSnapshot{}
+	}
+
+	return trainingBestModelSnapshot{
+		exists:  true,
+		size:    fi.Size(),
+		modTime: fi.ModTime(),
+	}
+}
+
+func (s trainingBestModelSnapshot) changed(next trainingBestModelSnapshot) bool {
+	if s.exists != next.exists {
+		return true
+	}
+
+	if !s.exists {
+		return false
+	}
+
+	return s.size != next.size || !s.modTime.Equal(next.modTime)
+}
+
+func startTrainingBestModelWatcher(ctx context.Context, trainingRoot string) {
+	trainingRoot = filepath.Clean(strings.TrimSpace(trainingRoot))
+	if trainingRoot == "" {
+		return
+	}
+
+	paths := []string{
+		filepath.Join(trainingRoot, "detector", "model", "best.pt"),
+		filepath.Join(trainingRoot, "pose", "model", "best.pt"),
+	}
+
+	snapshots := make(map[string]trainingBestModelSnapshot, len(paths))
+	for _, path := range paths {
+		snapshots[path] = snapshotTrainingBestModel(path)
+	}
+
+	appLogln("👁️ Training-Model-Watcher aktiv:", strings.Join(paths, " | "))
+
+	ticker := time.NewTicker(2 * time.Second)
+	defer ticker.Stop()
+
+	var lastRestart time.Time
+
+	for {
+		select {
+		case <-ctx.Done():
+			return
+
+		case <-ticker.C:
+			changedPaths := []string{}
+
+			for _, path := range paths {
+				previous := snapshots[path]
+				next := snapshotTrainingBestModel(path)
+
+				if previous.changed(next) {
+					snapshots[path] = next
+
+					if next.exists {
+						changedPaths = append(changedPaths, path)
+					}
+				}
+			}
+
+			if len(changedPaths) == 0 {
+				continue
+			}
+
+			if time.Since(lastRestart) < 5*time.Second {
+				continue
+			}
+
+			lastRestart = time.Now()
+			appLogln("🔄 Training-Modell geändert:", strings.Join(changedPaths, " | "))
+			go restartAIServer()
+		}
 	}
 }
 
@@ -864,8 +965,11 @@ func main() {
 	aiServerMu.Lock()
 	aiServerCtx = appCtx
 	aiServerCurrent = aiProc
+	watchedTrainingRoot := aiServerRoot
 	aiServerMu.Unlock()
 
+	go startTrainingBestModelWatcher(appCtx, watchedTrainingRoot)
+
 	// ✅ Hier: alte manuelle Autostart-Pause beim echten App-Start zurücksetzen.
 	resetAutostartPauseOnStartup()
 

backend/sse.go

@@ -29,6 +29,8 @@ type jobEvent struct {
 	Status            JobStatus `json:"status"`
 	Phase             string    `json:"phase,omitempty"`
 	Progress          int       `json:"progress,omitempty"`
+	StopRequestedAtMs int64     `json:"stopRequestedAtMs,omitempty"`
+	StopAttempts      int       `json:"stopAttempts,omitempty"`
 	SourceURL         string    `json:"sourceUrl,omitempty"`
 	Output            string    `json:"output,omitempty"`
 	StartedAt         string    `json:"startedAt,omitempty"`
@@ -82,6 +84,42 @@ type taskStateEvent struct {
 	TS                      int64  `json:"ts"`
 }
 
+type appNotificationEvent struct {
+	Type       string `json:"type"` // "notification"
+	Level      string `json:"level"`
+	Title      string `json:"title"`
+	Message    string `json:"message,omitempty"`
+	DurationMs int    `json:"durationMs,omitempty"`
+	TS         int64  `json:"ts"`
+}
+
+func publishAppNotification(level string, title string, message string, durationMs int) {
+	level = strings.TrimSpace(strings.ToLower(level))
+	if level == "" {
+		level = "info"
+	}
+
+	ev := appNotificationEvent{
+		Type:       "notification",
+		Level:      level,
+		Title:      strings.TrimSpace(title),
+		Message:    strings.TrimSpace(message),
+		DurationMs: durationMs,
+		TS:         time.Now().UnixMilli(),
+	}
+
+	if ev.Title == "" {
+		return
+	}
+
+	b, err := json.Marshal(ev)
+	if err != nil {
+		return
+	}
+
+	publishSSE("notification", b)
+}
+
 type analysisProgressEvent struct {
 	Type         string  `json:"type"`
 	Scope        string  `json:"scope,omitempty"`
@@ -419,6 +457,8 @@ func visibleJobEventsJSON() []ssePublishItem {
 			Status:            j.Status,
 			Phase:             j.Phase,
 			Progress:          j.Progress,
+			StopRequestedAtMs: j.StopRequestedAtMs,
+			StopAttempts:      j.StopAttempts,
 			SourceURL:         j.SourceURL,
 			Output:            j.Output,
 			StartedAt:         j.StartedAt.Format(time.RFC3339Nano),
@@ -478,6 +518,69 @@ func publishJobRemove(j *RecordJob) {
 	publishSSE(eventName, b)
 }
 
+func publishModelJobUpsert(jobID string) bool {
+	jobsMu.RLock()
+	j := jobs[jobID]
+	if j == nil || j.Hidden {
+		jobsMu.RUnlock()
+		return false
+	}
+
+	eventName := sseModelEventNameForJob(j)
+	if eventName == "" {
+		jobsMu.RUnlock()
+		return false
+	}
+
+	var postWork any
+	if j.PostWork != nil {
+		tmp := *j.PostWork
+		postWork = &tmp
+	}
+
+	payload := jobEvent{
+		Type:              "job_upsert",
+		Model:             eventName,
+		JobID:             j.ID,
+		Status:            j.Status,
+		Phase:             j.Phase,
+		Progress:          j.Progress,
+		StopRequestedAtMs: j.StopRequestedAtMs,
+		StopAttempts:      j.StopAttempts,
+		SourceURL:         j.SourceURL,
+		Output:            j.Output,
+		StartedAt:         j.StartedAt.Format(time.RFC3339Nano),
+		StartedAtMs:       j.StartedAtMs,
+		SizeBytes:         j.SizeBytes,
+		DurationSeconds:   j.DurationSeconds,
+		PreviewState:      j.PreviewState,
+		PostWorkKey:       strings.TrimSpace(j.PostWorkKey),
+		PostWork:          postWork,
+		TS:                time.Now().UnixMilli(),
+	}
+
+	if sm := sseStoredModelForJob(j); sm != nil {
+		payload.RoomStatus = strings.ToLower(strings.TrimSpace(sm.RoomStatus))
+		payload.IsOnline = sm.IsOnline
+		payload.ModelImageURL = strings.TrimSpace(sm.ImageURL)
+		payload.ModelChatRoomURL = strings.TrimSpace(sm.ChatRoomURL)
+	}
+
+	if j.EndedAt != nil {
+		payload.EndedAt = j.EndedAt.Format(time.RFC3339Nano)
+		payload.EndedAtMs = j.EndedAtMs
+	}
+	jobsMu.RUnlock()
+
+	b, err := json.Marshal(payload)
+	if err != nil {
+		return false
+	}
+
+	publishSSE(eventName, b)
+	return true
+}
+
 func sseModelEventNameForJob(j *RecordJob) string {
 	if j == nil {
 		return ""

backend/training_label_loader.go

@@ -18,6 +18,56 @@ type TrainingGroupedLabels struct {
 	Clothing     []string `json:"clothing"`
 }
 
+const trainingNoSexPositionLabel = "keine"
+
+func isNoSexPositionLabel(label string) bool {
+	switch strings.ToLower(strings.TrimSpace(label)) {
+	case "", trainingNoSexPositionLabel:
+		return true
+	default:
+		return false
+	}
+}
+
+func normalizeSexPositionLabel(label string) string {
+	clean := strings.TrimSpace(label)
+	if isNoSexPositionLabel(clean) {
+		return trainingNoSexPositionLabel
+	}
+	return clean
+}
+
+func normalizeSexPositionLabels(values []string) []string {
+	seen := map[string]bool{}
+	out := []string{}
+	hasNoPosition := false
+
+	for _, value := range values {
+		label := strings.TrimSpace(value)
+		if label == "" {
+			continue
+		}
+
+		if isNoSexPositionLabel(label) {
+			hasNoPosition = true
+			continue
+		}
+
+		if seen[label] {
+			continue
+		}
+
+		seen[label] = true
+		out = append(out, label)
+	}
+
+	if hasNoPosition {
+		out = append([]string{trainingNoSexPositionLabel}, out...)
+	}
+
+	return out
+}
+
 func trainingDetectionLabelsPath() string {
 	if p, err := ensureTrainingDetectionLabelsFile(); err == nil {
 		return p
@@ -114,13 +164,13 @@ func trainingGroupedLabels() (TrainingGroupedLabels, error) {
 	}
 
 	grouped.People = uniqueNonEmptyLabels(grouped.People)
-	grouped.SexPositions = uniqueNonEmptyLabels(grouped.SexPositions)
+	grouped.SexPositions = normalizeSexPositionLabels(grouped.SexPositions)
 	grouped.BodyParts = uniqueNonEmptyLabels(grouped.BodyParts)
 	grouped.Objects = uniqueNonEmptyLabels(grouped.Objects)
 	grouped.Clothing = uniqueNonEmptyLabels(grouped.Clothing)
 
 	if len(grouped.SexPositions) == 0 {
-		grouped.SexPositions = []string{"unknown"}
+		grouped.SexPositions = []string{trainingNoSexPositionLabel}
 	}
 
 	if len(grouped.People)+len(grouped.SexPositions)+len(grouped.BodyParts)+len(grouped.Objects)+len(grouped.Clothing) == 0 {
@@ -146,7 +196,7 @@ func trainingDetectorLabels() ([]string, error) {
 
 	for _, label := range grouped.SexPositions {
 		clean := strings.TrimSpace(label)
-		if clean == "" || clean == "unknown" {
+		if isNoSexPositionLabel(clean) {
 			continue
 		}
 
@@ -205,11 +255,65 @@ func trainingDetectorDatasetNamesYAML() (string, error) {
 	return b.String(), nil
 }
 
+func trainingPoseLabels() ([]string, error) {
+	grouped, err := trainingGroupedLabels()
+	if err != nil {
+		return nil, err
+	}
+
+	labels := []string{}
+	seen := map[string]bool{}
+
+	for _, value := range grouped.SexPositions {
+		label := strings.TrimSpace(value)
+		if isNoSexPositionLabel(label) || seen[label] {
+			continue
+		}
+
+		seen[label] = true
+		labels = append(labels, label)
+	}
+
+	if len(labels) == 0 {
+		return nil, fmt.Errorf("no pose sex position labels configured")
+	}
+
+	return labels, nil
+}
+
+func trainingPoseClassMap() (map[string]int, error) {
+	labels, err := trainingPoseLabels()
+	if err != nil {
+		return nil, err
+	}
+
+	out := map[string]int{}
+	for i, label := range labels {
+		out[label] = i
+	}
+
+	return out, nil
+}
+
+func trainingPoseDatasetNamesYAML() (string, error) {
+	labels, err := trainingPoseLabels()
+	if err != nil {
+		return "", err
+	}
+
+	var b strings.Builder
+	for i, label := range labels {
+		b.WriteString(fmt.Sprintf("  %d: %s\n", i, label))
+	}
+
+	return b.String(), nil
+}
+
 func defaultTrainingLabelsFromJSON() TrainingLabels {
 	grouped, err := trainingGroupedLabels()
 	if err != nil {
 		grouped = TrainingGroupedLabels{
-			SexPositions: []string{"unknown"},
+			SexPositions: []string{trainingNoSexPositionLabel},
 		}
 	}
 

backend/training_test.go

@@ -124,8 +124,8 @@ func TestTrainingEffectiveCorrectionClearsNegativeAnnotation(t *testing.T) {
 		},
 	})
 
-	if effective.SexPosition != "unknown" {
+	if effective.SexPosition != trainingNoSexPositionLabel {
-		t.Fatalf("sex position = %q, want unknown", effective.SexPosition)
+		t.Fatalf("sex position = %q, want %s", effective.SexPosition, trainingNoSexPositionLabel)
 	}
 	if len(effective.Boxes) != 0 {
 		t.Fatalf("negative annotation has %d boxes, want 0", len(effective.Boxes))

frontend/src/App.tsx

@@ -2956,6 +2956,40 @@ export default function App() {
       }
     }
 
+    const onNotification = (ev: MessageEvent) => {
+      try {
+        const data = JSON.parse(String(ev.data ?? 'null'))
+
+        if (data?.type !== 'notification') return
+
+        const title = String(data?.title ?? '').trim()
+        if (!title) return
+
+        const message = String(data?.message ?? '').trim() || undefined
+        const durationRaw = Number(data?.durationMs ?? 0)
+        const opts = Number.isFinite(durationRaw) && durationRaw > 0
+          ? { durationMs: durationRaw }
+          : undefined
+
+        switch (String(data?.level ?? 'info').trim().toLowerCase()) {
+          case 'success':
+            notifyRef.current?.success(title, message, opts)
+            break
+          case 'warning':
+            notifyRef.current?.warning(title, message, opts)
+            break
+          case 'error':
+            notifyRef.current?.error(title, message, opts)
+            break
+          default:
+            notifyRef.current?.info(title, message, opts)
+            break
+        }
+      } catch {
+        // ignore
+      }
+    }
+
     void loadJobs()
     void loadDoneCount()
     void loadTaskStateOnce()
@@ -2981,6 +3015,7 @@ export default function App() {
     es.addEventListener('taskState', onTaskState as any)
     es.addEventListener('training', onTraining as any)
     es.addEventListener('analysisProgress', onAnalysisProgress as any)
+    es.addEventListener('notification', onNotification as any)
 
     const onVis = () => {
       if (document.hidden) return
@@ -3008,6 +3043,7 @@ export default function App() {
         es.removeEventListener('taskState', onTaskState as any)
         es.removeEventListener('training', onTraining as any)
         es.removeEventListener('analysisProgress', onAnalysisProgress as any)
+        es.removeEventListener('notification', onNotification as any)
 
         const handler = onModelJobEventRef.current
         if (handler) {
@@ -3110,6 +3146,7 @@ export default function App() {
   async function stopJob(id: string) {
     try {
       await apiJSON(`/api/record/stop?id=${encodeURIComponent(id)}`, { method: 'POST' })
+      void loadJobs()
     } catch (e: any) {
       notify.error('Stop fehlgeschlagen', e?.message ?? String(e))
     }
@@ -3118,6 +3155,7 @@ export default function App() {
   async function stopAllJobs() {
     try {
       await apiJSON('/api/record/stop-all', { method: 'POST' })
+      void loadJobs()
     } catch (e: any) {
       notify.error('Alle stoppen fehlgeschlagen', e?.message ?? String(e))
     }
@@ -3887,6 +3925,7 @@ export default function App() {
   }, [autoAddEnabled, autoStartEnabled, startUrl])
 
   const isTrainingTab = selectedTab === 'training'
+  const [trainingTabMounted, setTrainingTabMounted] = useState(() => isTrainingTab)
 
   useEffect(() => {
     if (!isTrainingTab) {
@@ -3894,6 +3933,12 @@ export default function App() {
     }
   }, [isTrainingTab])
 
+  useEffect(() => {
+    if (isTrainingTab) {
+      setTrainingTabMounted(true)
+    }
+  }, [isTrainingTab])
+
   if (!authChecked) {
     return <div className="min-h-[100dvh] grid place-items-center">Lade…</div>
   }
@@ -4236,11 +4281,17 @@ export default function App() {
             <ModelsTab onAddToDownloads={handleAddToDownloads} />
           ) : null}
 
-          {selectedTab === 'training' ? (
+          {trainingTabMounted ? (
+            <div
+              className={isTrainingTab ? undefined : 'hidden'}
+              aria-hidden={isTrainingTab ? undefined : true}
+            >
               <TrainingTab
+                active={isTrainingTab}
                 onTrainingRunningChange={setTrainingTabRunning}
                 onImageExpandedChange={setTrainingImageExpanded}
               />
+            </div>
           ) : null}
 
           {selectedTab === 'categories' ? <CategoriesTab /> : null}

frontend/src/aiLabels.ts

@@ -8,8 +8,10 @@ export type AiLabelGroup =
   | 'clothing'
   | 'unknown'
 
+const NO_POSITION_LABELS = new Set(['', 'keine'])
+
 export const AI_POSITION_LABELS = [
-  'unknown',
+  'keine',
   'missionary',
   'doggy',
   'doggystyle',
@@ -109,7 +111,7 @@ export const AI_LABEL_FALLBACKS: Record<string, string> = {
   stockings: 'Strümpfe',
   croptop: 'Crop Top',
 
-  unknown: 'Unbekannt',
+  keine: 'Keine',
   missionary: 'Missionary',
   doggy: 'Doggy',
   doggystyle: 'Doggy',
@@ -237,7 +239,7 @@ export function prettyAiLabel(value: unknown): string {
 export function aiLabelGroup(value: unknown): AiLabelGroup {
   const label = normalizeAiLabel(value)
 
-  if (!label || label === 'unknown') return 'unknown'
+  if (NO_POSITION_LABELS.has(label)) return 'unknown'
   if (PERSON_SET.has(label)) return 'people'
   if (POSITION_SET.has(label)) return 'position'
   if (BODY_SET.has(label)) return 'body'
@@ -248,7 +250,8 @@ export function aiLabelGroup(value: unknown): AiLabelGroup {
 }
 
 export function isKnownFrontendPositionLabel(value: unknown): boolean {
-  return POSITION_SET.has(normalizeAiLabel(value))
+  const label = normalizeAiLabel(value)
+  return !NO_POSITION_LABELS.has(label) && POSITION_SET.has(label)
 }
 
 export function isKnownAiContentLabel(value: unknown): boolean {

frontend/src/components/ui/Downloads.tsx

@@ -308,7 +308,7 @@ const addedAtMsOf = (r: DownloadRow): number => {
 const phaseLabel = (p?: string) => {
   switch ((p ?? '').toLowerCase()) {
     case 'stopping':
-      return 'Stop wird angefordert…'
+      return 'Stoppe Aufnahme…'
     case 'probe':
       return 'Analysiere Datei (Dauer/Streams)…'
     case 'remuxing':
@@ -326,6 +326,45 @@ const phaseLabel = (p?: string) => {
   }
 }
 
+const STOP_RETRY_AFTER_MS = 15_000
+
+const stopRequestedAtMsOf = (job: RecordJob): number => {
+  return toMs((job as any)?.stopRequestedAtMs)
+}
+
+const isFreshStoppingPhase = (job: RecordJob, nowMs: number): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  if (phase !== 'stopping') return false
+
+  const startedAt = stopRequestedAtMsOf(job)
+  return startedAt > 0 && Math.max(0, nowMs - startedAt) < STOP_RETRY_AFTER_MS
+}
+
+const canRetryStoppingJob = (job: RecordJob, nowMs: number): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  const status = String((job as any)?.status ?? '').trim().toLowerCase()
+  return phase === 'stopping' && status === 'running' && !isFreshStoppingPhase(job, nowMs)
+}
+
+const isStopWaitingForJob = (
+  job: RecordJob,
+  localStopRequested: boolean,
+  nowMs: number
+): boolean => {
+  return localStopRequested || isFreshStoppingPhase(job, nowMs)
+}
+
+const isStoppingForUi = (
+  job: RecordJob,
+  localStopRequested: boolean,
+  nowMs: number
+): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  const status = String((job as any)?.status ?? '').trim().toLowerCase()
+  const isBusyPhase = phase !== '' && phase !== 'recording' && phase !== 'stopping'
+  return isBusyPhase || status !== 'running' || isStopWaitingForJob(job, localStopRequested, nowMs)
+}
+
 function postWorkLabel(
   job: RecordJob,
   override?: { pos?: number; total?: number }
@@ -370,9 +409,11 @@ function postWorkLabel(
 function StatusCell({
   job,
   postworkInfo,
+  nowMs,
 }: {
   job: RecordJob
   postworkInfo?: { pos?: number; total?: number }
+  nowMs: number
 }) {
   const anyJ = job as any
   const phaseRaw = String(anyJ?.phase ?? '').trim()
@@ -398,8 +439,12 @@ function StatusCell({
   }
 
   if (!text) {
+    if (phase === 'stopping' && canRetryStoppingJob(job, nowMs)) {
+      text = 'Stop dauert zu lange - erneut stoppen'
+    } else {
       text = phaseRaw ? (phaseLabel(phaseRaw) || phaseRaw) : String(anyJ?.status ?? '').trim().toLowerCase()
     }
+  }
 
   const showBar =
     !isRecording &&
@@ -720,30 +765,59 @@ export default function Downloads({
 
   const [stopRequestedIds, setStopRequestedIds] = useState<Record<string, true>>({})
   const [stopInitiatedIds, setStopInitiatedIds] = useState<Record<string, true>>({})
+  const stopRequestClearTimersRef = useRef<Record<string, number>>({})
 
   const [removePendingRequestedKeys, setRemovePendingRequestedKeys] = useState<Record<string, true>>({})
   const [removeQueuedPostworkRequestedIds, setRemoveQueuedPostworkRequestedIds] = useState<Record<string, true>>({})
 
   const markStopRequested = useCallback((ids: string | string[]) => {
     const arr = Array.isArray(ids) ? ids : [ids]
+    const cleanIds = arr.map((id) => String(id || '').trim()).filter(Boolean)
+
+    for (const id of cleanIds) {
+      const oldTimer = stopRequestClearTimersRef.current[id]
+      if (oldTimer) {
+        window.clearTimeout(oldTimer)
+      }
+
+      stopRequestClearTimersRef.current[id] = window.setTimeout(() => {
+        delete stopRequestClearTimersRef.current[id]
+
+        setStopRequestedIds((prev) => {
+          if (!prev[id]) return prev
+          const next = { ...prev }
+          delete next[id]
+          return next
+        })
+      }, 12_000)
+    }
 
     setStopRequestedIds((prev) => {
       const next = { ...prev }
-      for (const id of arr) {
+      for (const id of cleanIds) {
-        if (id) next[id] = true
+        next[id] = true
       }
       return next
     })
 
     setStopInitiatedIds((prev) => {
       const next = { ...prev }
-      for (const id of arr) {
+      for (const id of cleanIds) {
-        if (id) next[id] = true
+        next[id] = true
       }
       return next
     })
   }, [])
 
+  useEffect(() => {
+    return () => {
+      for (const timer of Object.values(stopRequestClearTimersRef.current)) {
+        window.clearTimeout(timer)
+      }
+      stopRequestClearTimersRef.current = {}
+    }
+  }, [])
+
   const markRemovePendingRequested = useCallback((key: string) => {
     if (!key) return
     setRemovePendingRequestedKeys((prev) => ({ ...prev, [key]: true }))
@@ -791,7 +865,10 @@ export default function Downloads({
         }
 
         const phaseLower = String((j as any).phase ?? '').trim().toLowerCase()
-        const isBusyPhase = phaseLower !== '' && phaseLower !== 'recording'
+        const isBusyPhase =
+          phaseLower !== '' &&
+          phaseLower !== 'recording' &&
+          phaseLower !== 'stopping'
         const isStopping = isBusyPhase || j.status !== 'running'
 
         if (isStopping) {
@@ -994,15 +1071,12 @@ export default function Downloads({
         if (isPostworkJob(j)) return false
         if ((j as any).endedAt) return false
 
-        const phase = String((j as any).phase ?? '').trim()
         const isStopRequested = Boolean(stopRequestedIds[j.id])
-        const phaseLower = phase.trim().toLowerCase()
+        const isStopping = isStoppingForUi(j, isStopRequested, nowMs)
-        const isBusyPhase = phaseLower !== '' && phaseLower !== 'recording'
-        const isStopping = isBusyPhase || j.status !== 'running' || isStopRequested
         return !isStopping
       })
       .map((j) => j.id)
-  }, [jobs, stopRequestedIds])
+  }, [jobs, stopRequestedIds, nowMs])
 
   const columns = useMemo<Column<DownloadRow>[]>(() => {
     return [
@@ -1187,7 +1261,7 @@ export default function Downloads({
         cell: (r) => {
           if (r.kind === 'job') {
             const j = r.job
-            return <StatusCell job={j} postworkInfo={postworkInfoOf(j)} />
+            return <StatusCell job={j} postworkInfo={postworkInfoOf(j)} nowMs={nowMs} />
           }
 
           const p = r.pending
@@ -1308,16 +1382,14 @@ export default function Downloads({
           }
 
           const j = r.job
-          const phase = String((j as any).phase ?? '').trim()
           const isStopRequested = Boolean(stopRequestedIds[j.id])
-          const phaseLower = phase.trim().toLowerCase()
 
           const postworkState = getEffectivePostworkState(j)
           const isQueuedPostwork = postworkState === 'queued'
           const isRemovingQueuedPostwork = Boolean(removeQueuedPostworkRequestedIds[j.id])
 
-          const isBusyPhase = phaseLower !== '' && phaseLower !== 'recording'
+          const canRetryStop = canRetryStoppingJob(j, nowMs) && !isStopRequested
-          const isStopping = isBusyPhase || j.status !== 'running' || isStopRequested
+          const isStopping = isStoppingForUi(j, isStopRequested, nowMs)
 
           const buttonBusy = isQueuedPostwork ? isRemovingQueuedPostwork : isStopping
           const disableStopButton = isQueuedPostwork ? isRemovingQueuedPostwork : isStopping
@@ -1375,6 +1447,8 @@ export default function Downloads({
               >
                 {isQueuedPostwork
                   ? (isRemovingQueuedPostwork ? 'Entferne…' : 'Entfernen')
+                  : canRetryStop
+                    ? 'Stop erneut'
                     : (isStopping ? 'Stoppe…' : 'Stoppen')}
               </Button>
             </div>
@@ -1519,15 +1593,16 @@ export default function Downloads({
     const stopRequested = Boolean(stopRequestedIds[j.id])
     const removingQueued = Boolean(removeQueuedPostworkRequestedIds[j.id])
     const isQueuedPostwork = getEffectivePostworkState(j) === 'queued'
+    const stopWaiting = isStopWaitingForJob(j, stopRequested, nowMs)
 
     return [
       'transition-all duration-300',
-      stopRequested && !isQueuedPostwork && 'bg-indigo-50/70 dark:bg-indigo-500/10 pointer-events-none animate-pulse',
+      stopWaiting && !isQueuedPostwork && 'bg-indigo-50/70 dark:bg-indigo-500/10 pointer-events-none animate-pulse',
       removingQueued && isQueuedPostwork && 'bg-red-50/70 dark:bg-red-500/10 pointer-events-none animate-pulse',
     ]
       .filter(Boolean)
       .join(' ')
-  }, [removePendingRequestedKeys, stopRequestedIds, removeQueuedPostworkRequestedIds])
+  }, [removePendingRequestedKeys, stopRequestedIds, removeQueuedPostworkRequestedIds, nowMs])
 
   return (
     <div className="grid gap-2">
@@ -1707,17 +1782,16 @@ export default function Downloads({
                     if (r.kind !== 'job') return null
 
                     const j = r.job
-                    const phase = String((j as any).phase ?? '').trim().toLowerCase()
                     const isStopRequested = Boolean(stopRequestedIds[j.id])
                     const postworkState = getEffectivePostworkState(j)
                     const isQueuedPostwork = postworkState === 'queued'
-                    const isBusyPhase = phase !== '' && phase !== 'recording'
+                    const canRetryStop = canRetryStoppingJob(j, nowMs) && !isStopRequested
-                    const isStopping = isBusyPhase || j.status !== 'running' || isStopRequested
+                    const isStopping = isStoppingForUi(j, isStopRequested, nowMs)
 
                     return (
                       <SwipeActionRow
                         key={`dl:${j.id}`}
-                        actionLabel={isStopping ? 'Stoppe…' : 'Stoppen'}
+                        actionLabel={canRetryStop ? 'Stop erneut' : isStopping ? 'Stoppe…' : 'Stoppen'}
                         actionColor="indigo"
                         disabled={isStopping || isQueuedPostwork}
                         onAction={async () => {
@@ -1822,19 +1896,20 @@ export default function Downloads({
                     if (r.kind !== 'job') return null
 
                     const j = r.job
-                    const phase = String((j as any).phase ?? '').trim().toLowerCase()
                     const isStopRequested = Boolean(stopRequestedIds[j.id])
 
                     const postworkState = getEffectivePostworkState(j)
                     const isQueuedPostwork = postworkState === 'queued'
 
-                    const isBusyPhase = phase !== '' && phase !== 'recording'
+                    const canRetryStop = canRetryStoppingJob(j, nowMs) && !isStopRequested
-                    const isStopping = isBusyPhase || j.status !== 'running' || isStopRequested
+                    const isStopping = isStoppingForUi(j, isStopRequested, nowMs)
 
                     const isRemovingQueuedPostwork = Boolean(removeQueuedPostworkRequestedIds[j.id])
 
                     const label = isQueuedPostwork
                       ? (isRemovingQueuedPostwork ? 'Entferne…' : 'Entfernen')
+                      : canRetryStop
+                        ? 'Stop erneut'
                         : (isStopping ? 'Stoppe…' : 'Stoppen')
 
                     const color = isQueuedPostwork ? 'red' : 'indigo'

frontend/src/components/ui/DownloadsCardRow.tsx

@@ -320,7 +320,7 @@ const formatBytes = (bytes: number | null): string => {
 const phaseLabel = (p?: string) => {
   switch ((p ?? '').toLowerCase()) {
     case 'stopping':
-      return 'Stop wird angefordert…'
+      return 'Stoppe Aufnahme…'
     case 'probe':
       return 'Analysiere Datei (Dauer/Streams)…'
     case 'remuxing':
@@ -338,6 +338,45 @@ const phaseLabel = (p?: string) => {
   }
 }
 
+const STOP_RETRY_AFTER_MS = 15_000
+
+const stopRequestedAtMsOf = (job: RecordJob): number => {
+  return toMs((job as any)?.stopRequestedAtMs)
+}
+
+const isFreshStoppingPhase = (job: RecordJob, nowMs: number): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  if (phase !== 'stopping') return false
+
+  const startedAt = stopRequestedAtMsOf(job)
+  return startedAt > 0 && Math.max(0, nowMs - startedAt) < STOP_RETRY_AFTER_MS
+}
+
+const canRetryStoppingJob = (job: RecordJob, nowMs: number): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  const status = String((job as any)?.status ?? '').trim().toLowerCase()
+  return phase === 'stopping' && status === 'running' && !isFreshStoppingPhase(job, nowMs)
+}
+
+const isStopWaitingForJob = (
+  job: RecordJob,
+  localStopRequested: boolean,
+  nowMs: number
+): boolean => {
+  return localStopRequested || isFreshStoppingPhase(job, nowMs)
+}
+
+const isStoppingForUi = (
+  job: RecordJob,
+  localStopRequested: boolean,
+  nowMs: number
+): boolean => {
+  const phase = String((job as any)?.phase ?? '').trim().toLowerCase()
+  const status = String((job as any)?.status ?? '').trim().toLowerCase()
+  const isBusyPhase = phase !== '' && phase !== 'recording' && phase !== 'stopping'
+  return isBusyPhase || status !== 'running' || isStopWaitingForJob(job, localStopRequested, nowMs)
+}
+
 const isTerminalStatus = (status?: unknown) => {
   const s = String(status ?? '').trim().toLowerCase()
   return (
@@ -734,13 +773,12 @@ export default function DownloadsCardRow({
   const isRecording = phaseLower === 'recording'
 
   const isStopRequested = Boolean(stopRequestedIds[j.id])
-  const rawStatus = String(j.status ?? '').toLowerCase()
 
   const postworkState = getEffectivePostworkState(j)
   const isQueuedPostwork = postworkState === 'queued'
 
-  const isBusyPhase = phaseLower !== '' && phaseLower !== 'recording'
+  const canRetryStop = canRetryStoppingJob(j, nowMs) && !isStopRequested
-  const isStopping = isBusyPhase || rawStatus !== 'running' || isStopRequested
+  const isStopping = isStoppingForUi(j, isStopRequested, nowMs)
 
   const showRemoveQueuedButton = isQueuedPostwork
   const disableStopButton = showRemoveQueuedButton ? false : isStopping
@@ -767,9 +805,13 @@ export default function DownloadsCardRow({
     } else if (pwState === 'running') {
       phaseText = phaseLabel(phase) || postWorkLabel(j, postworkInfoOf(j))
     }
+  } else {
+    if (phaseLower === 'stopping' && canRetryStop) {
+      phaseText = 'Stop dauert zu lange - erneut stoppen'
     } else {
       phaseText = phase ? (phaseLabel(phase) || phase) : ''
     }
+  }
 
   const progressLabel = phaseText || roomStatus
 
@@ -979,7 +1021,11 @@ export default function DownloadsCardRow({
                   await onStopJob(j.id)
                 }}
               >
-                {showRemoveQueuedButton ? 'Entfernen' : (isStopping ? 'Stoppe…' : 'Stop')}
+                {showRemoveQueuedButton
+                  ? 'Entfernen'
+                  : canRetryStop
+                    ? 'Stop erneut'
+                    : (isStopping ? 'Stoppe…' : 'Stop')}
               </Button>
             </div>
           </div>

frontend/src/components/ui/FinishedDownloads.tsx

@@ -120,6 +120,24 @@ const baseName = (p: string) => {
   return parts[parts.length - 1] || ''
 }
 
+function resolveRenamedFile(file: string, renamedFiles: Record<string, string>) {
+  let current = String(file || '').trim()
+  if (!current) return current
+
+  const seen = new Set<string>()
+
+  while (current && !seen.has(current)) {
+    seen.add(current)
+
+    const next = String(renamedFiles[current] || '').trim()
+    if (!next || next === current) break
+
+    current = next
+  }
+
+  return current
+}
+
 const stemWithoutExt = (p: string) => {
   const f = baseName(p || '')
   return stripHotPrefix(f.replace(/\.[^.]+$/, ''))
@@ -2585,8 +2603,8 @@ export default function FinishedDownloads({
     (job: RecordJob): RecordJob => {
       const out = norm(job.output || '')
       const file = baseName(out)
-      const override = renamedFiles[file]
+      const override = resolveRenamedFile(file, renamedFiles)
-      if (!override) return job
+      if (!override || override === file) return job
 
       const idx = out.lastIndexOf('/')
       const dir = idx >= 0 ? out.slice(0, idx + 1) : ''
@@ -2897,8 +2915,11 @@ export default function FinishedDownloads({
   }, [activeVisibleRows, keyFor, selectionStore, selectionVersion])
 
   const hasSearchQuery = (searchQuery || '').trim() !== ''
-  const selectionActionsVisible = selectedCount > 0 && selectionActionsOpen
+  const selectionActionsVisible = selectionActionsOpen && activeVisibleRows.length > 0
-  const selectionModeActive = selectedCount > 0
+  const selectionModeActive = selectionActionsOpen || selectedCount > 0
+  const selectionButtonDisabled = activeVisibleRows.length === 0
+  const selectionButtonLabel = selectedCount > 0 ? `${selectedCount} ausgewählt` : 'Auswählen'
+  const selectedBulkActionsDisabled = bulkBusy || selectedCount === 0
 
   const selectedKeys = useMemo(() => {
     const next = new Set<string>()
@@ -3241,6 +3262,28 @@ export default function FinishedDownloads({
     }
   }, [])
 
+  const removeRowNow = useCallback(
+    (key: string, file?: string) => {
+      cancelRemoveTimer(key)
+
+      if (file) {
+        setHiddenFiles((prev) => {
+          const next = new Set(prev)
+          next.add(file)
+          return next
+        })
+      }
+
+      markDeleted(key)
+      markRemoving(key, false)
+
+      requestAnimationFrame(() => {
+        refreshHoverPreviewFromPointer()
+      })
+    },
+    [cancelRemoveTimer, markDeleted, markRemoving, refreshHoverPreviewFromPointer]
+  )
+
   const restoreRow = useCallback(
     (key: string, file?: string) => {
       cancelRemoveTimer(key)
@@ -3470,7 +3513,7 @@ export default function FinishedDownloads({
         rowKey: key,
         setBusy: (v) => markDeleting(key, v),
         isBusyNow: () => deletingKeys.has(key),
-        optimisticRemove: true,
+        optimisticRemove: false,
         alreadyRemoved: opts?.alreadyRemoved,
         labels: {
           invalidTitle: 'Löschen nicht möglich',
@@ -3501,6 +3544,7 @@ export default function FinishedDownloads({
         },
         onSuccess: async (result: any) => {
           selectionStore.deselect(key)
+          removeRowNow(key, file)
 
           const undoToken = typeof result?.undoToken === 'string' ? result.undoToken : ''
           const from = typeof result?.from === 'string' ? result.from : undefined
@@ -3525,6 +3569,7 @@ export default function FinishedDownloads({
       runFileMutation,
       emitCountHint,
       selectionStore,
+      removeRowNow,
     ]
   )
 
@@ -3600,10 +3645,28 @@ export default function FinishedDownloads({
 
     setRenamedFiles((prev) => {
       const next: Record<string, string> = { ...prev }
+
+      const sources = new Set<string>([oldFile])
+
       for (const [k, v] of Object.entries(next)) {
-        if (k === oldFile || k === newFile || v === oldFile || v === newFile) delete next[k]
+        const final = resolveRenamedFile(k, prev)
+
+        if (final === oldFile || v === oldFile) {
+          sources.add(k)
         }
-      next[oldFile] = newFile
+
+        if (k === newFile || v === newFile) {
+          delete next[k]
+        }
+      }
+
+      for (const source of sources) {
+        if (!source || source === newFile) continue
+        next[source] = newFile
+      }
+
+      delete next[newFile]
+
       return next
     })
 
@@ -3614,9 +3677,33 @@ export default function FinishedDownloads({
     if (!a && !b) return
     setRenamedFiles((prev) => {
       const next: Record<string, string> = { ...prev }
+
       for (const [k, v] of Object.entries(next)) {
-        if (k === a || k === b || v === a || v === b) delete next[k]
+        const final = resolveRenamedFile(k, prev)
+
+        if (k === b) {
+          delete next[k]
+          continue
         }
+
+        if (final === b || v === b) {
+          if (k && k !== a) {
+            next[k] = a
+          } else {
+            delete next[k]
+          }
+          continue
+        }
+
+        if (k === a || v === a) {
+          delete next[k]
+        }
+      }
+
+      if (a && next[a] === a) {
+        delete next[a]
+      }
+
       return next
     })
   }, [])
@@ -4025,7 +4112,7 @@ export default function FinishedDownloads({
 
         if (item?.ok) {
           deletedKeys.add(key)
-          animateRemove(key, file)
+          removeRowNow(key, file)
         } else {
           failedKeys.add(key)
         }
@@ -4089,9 +4176,9 @@ export default function FinishedDownloads({
   }, [
     bulkBusy,
     selectedFiles,
-    animateRemove,
     clearSelection,
     emitCountHint,
+    removeRowNow,
     notify,
   ])
 
@@ -5031,10 +5118,10 @@ export default function FinishedDownloads({
   }, [isSmall])
   
   useEffect(() => {
-    if (selectedCount === 0 && selectionActionsOpen) {
+    if (activeVisibleRows.length === 0 && selectionActionsOpen) {
       setSelectionActionsOpen(false)
     }
-  }, [selectedCount, selectionActionsOpen])
+  }, [activeVisibleRows.length, selectionActionsOpen])
 
   const desktopToolbarControlsClass = [
     'flex flex-col gap-3',
@@ -5278,24 +5365,23 @@ export default function FinishedDownloads({
                     </div>
                   </div>
 
-                  {selectedCount > 0 ? (
                   <Button
                     size="sm"
                     variant="soft"
+                    disabled={selectionButtonDisabled}
                     onClick={() => setSelectionActionsOpen((v) => !v)}
                     title={
                       selectionActionsOpen
                         ? 'Auswahl-Aktionen ausblenden'
-                          : 'Auswahl-Aktionen anzeigen'
+                        : 'Auswahlmodus öffnen'
                     }
                     className={[
                       'shrink-0 whitespace-nowrap font-semibold',
                       selectionActionsOpen ? 'ring-2 ring-indigo-500/60' : '',
                     ].join(' ')}
                   >
-                      {selectedCount} ausgewählt
+                    {selectionButtonLabel}
                   </Button>
-                  ) : null}
                 </div>
 
                 <div
@@ -5340,7 +5426,7 @@ export default function FinishedDownloads({
                           size="sm"
                           variant="secondary"
                           leadingIcon={<XMarkIcon className="size-4 shrink-0" />}
-                          disabled={bulkBusy}
+                          disabled={selectedBulkActionsDisabled}
                           onClick={clearSelection}
                           className="w-full justify-center"
                         >
@@ -5352,7 +5438,7 @@ export default function FinishedDownloads({
                           variant="soft"
                           color="emerald"
                           leadingIcon={<ArchiveBoxIcon className="size-4 shrink-0" />}
-                          disabled={bulkBusy}
+                          disabled={selectedBulkActionsDisabled}
                           onClick={() => void bulkKeepSelected()}
                           className="w-full justify-center"
                         >
@@ -5364,7 +5450,7 @@ export default function FinishedDownloads({
                           variant="soft"
                           color="red"
                           leadingIcon={<TrashIcon className="size-4 shrink-0" />}
-                          disabled={bulkBusy}
+                          disabled={selectedBulkActionsDisabled}
                           onClick={() => void bulkDeleteSelected()}
                           className="w-full justify-center"
                         >
@@ -5396,7 +5482,7 @@ export default function FinishedDownloads({
                         size="sm"
                         variant="secondary"
                         leadingIcon={<XMarkIcon className="size-4 shrink-0" />}
-                        disabled={bulkBusy}
+                        disabled={selectedBulkActionsDisabled}
                         onClick={clearSelection}
                       >
                         Auswahl aufheben
@@ -5409,7 +5495,7 @@ export default function FinishedDownloads({
                         variant="soft"
                         color="emerald"
                         leadingIcon={<ArchiveBoxIcon className="size-4 shrink-0" />}
-                        disabled={bulkBusy}
+                        disabled={selectedBulkActionsDisabled}
                         onClick={() => void bulkKeepSelected()}
                       >
                         Behalten
@@ -5420,7 +5506,7 @@ export default function FinishedDownloads({
                         variant="soft"
                         color="red"
                         leadingIcon={<TrashIcon className="size-4 shrink-0" />}
-                        disabled={bulkBusy}
+                        disabled={selectedBulkActionsDisabled}
                         onClick={() => void bulkDeleteSelected()}
                       >
                         Löschen
@@ -5610,11 +5696,28 @@ export default function FinishedDownloads({
             <div className="lg:hidden">
               <div className="flex items-center gap-2 px-3 pt-2.5 pb-1.5">
                 <div className="min-w-0 flex flex-1 items-center gap-2">
-                  <div className="flex min-w-0 items-center gap-2">
+                  <div className="flex min-w-0 flex-1 items-center gap-2">
                     <div className="truncate text-sm font-semibold text-gray-900 dark:text-white">
                       Abgeschlossene Downloads
                     </div>
 
+                    <Button
+                      size="sm"
+                      variant={lastAction ? 'soft' : 'secondary'}
+                      color="emerald"
+                      className="h-7 shrink-0 px-2 text-xs"
+                      disabled={!lastAction || undoing}
+                      onClick={undoLastAction}
+                      leadingIcon={<ArrowUturnLeftIcon className="size-3.5 shrink-0" />}
+                      title={
+                        !lastAction
+                          ? 'Keine Aktion fuer Undo'
+                          : `Letzte Aktion rueckgaengig machen (${lastAction.kind})`
+                      }
+                    >
+                      Undo
+                    </Button>
+
                     {bulkBusy ? (
                       <LoadingSpinner
                         size="sm"
@@ -5646,7 +5749,7 @@ export default function FinishedDownloads({
                     size="md"
                     variant={lastAction ? 'soft' : 'secondary'}
                     color="emerald"
-                    className="flex-1"
+                    className="!hidden"
                     disabled={!lastAction || undoing}
                     onClick={undoLastAction}
                     leadingIcon={<ArrowUturnLeftIcon className="size-4 shrink-0" />}
@@ -5699,23 +5802,22 @@ export default function FinishedDownloads({
                     <span className="sr-only">Report</span>
                   </Button>
 
-                  {selectedCount > 0 ? (
                   <Button
                     size="md"
                     variant="soft"
+                    disabled={selectionButtonDisabled}
                     onClick={() => {
                       setSelectionActionsOpen((v) => !v)
                       setMobileOptionsOpen(false)
                     }}
-                      title={selectionActionsOpen ? 'Auswahl-Aktionen ausblenden' : 'Auswahl-Aktionen anzeigen'}
+                    title={selectionActionsOpen ? 'Auswahl-Aktionen ausblenden' : 'Auswahlmodus öffnen'}
                     className={[
                       'shrink-0 whitespace-nowrap px-3 font-semibold',
                       selectionActionsOpen ? 'ring-2 ring-indigo-500/60' : '',
                     ].join(' ')}
                   >
-                      {selectedCount} ausgewählt
+                    {selectionButtonLabel}
                   </Button>
-                  ) : null}
 
                   <button
                     type="button"
@@ -5779,7 +5881,7 @@ export default function FinishedDownloads({
                     size="sm"
                     variant="secondary"
                     leadingIcon={<XMarkIcon className="size-4 shrink-0" />}
-                    disabled={bulkBusy}
+                    disabled={selectedBulkActionsDisabled}
                     onClick={clearSelection}
                     className="w-full justify-center"
                   >
@@ -5791,7 +5893,7 @@ export default function FinishedDownloads({
                     variant="soft"
                     color="emerald"
                     leadingIcon={<ArchiveBoxIcon className="size-4 shrink-0" />}
-                    disabled={bulkBusy}
+                    disabled={selectedBulkActionsDisabled}
                     onClick={() => void bulkKeepSelected()}
                     className="w-full justify-center"
                   >
@@ -5803,7 +5905,7 @@ export default function FinishedDownloads({
                     variant="primary"
                     color="red"
                     leadingIcon={<TrashIcon className="size-4 shrink-0" />}
-                    disabled={bulkBusy}
+                    disabled={selectedBulkActionsDisabled}
                     onClick={() => void bulkDeleteSelected()}
                     className="w-full justify-center"
                   >
@@ -6069,6 +6171,7 @@ export default function FinishedDownloads({
                 <FinishedDownloadsCardsView
                   rows={cardRows}
                   selectionStore={selectionStore}
+                  selectionModeActive={selectionModeActive}
                   onToggleSelected={toggleSelected}
                   onToggleSelectAllPage={handleToggleSelectAllPage}
                   onSelectOnly={selectOnly}

frontend/src/components/ui/FinishedDownloadsCardsView.tsx

@@ -8,6 +8,7 @@ import {
   useMemo,
   useRef,
   useState,
+  type CSSProperties,
   type ReactNode,
 } from 'react'
 import Card from './Card'
@@ -63,6 +64,7 @@ type Props = {
   isLoading?: boolean
   isSmall: boolean
   selectionStore: FinishedSelectionStore
+  selectionModeActive: boolean
   onToggleSelected: (job: RecordJob) => void
   onToggleSelectAllPage: (checked: boolean) => void
   onSelectOnly: (job: RecordJob) => void
@@ -320,6 +322,7 @@ function FinishedDownloadsCardsView({
   rows,
   isSmall,
   selectionStore,
+  selectionModeActive,
   onToggleSelected,
   isLoading,
   blurPreviews,
@@ -450,7 +453,7 @@ function FinishedDownloadsCardsView({
     const k = keyFor(j)
 
     const handleSelectOrOpen = () => {
-      if (selectionStore.hasAnySelection()) {
+      if (selectionModeActive) {
         onToggleSelected(j)
         return true
       }
@@ -869,7 +872,7 @@ function FinishedDownloadsCardsView({
 
                 if (isSmall) return
 
-                if (selectionStore.hasAnySelection()) {
+                if (selectionModeActive) {
                   onToggleSelected(j)
                   return
                 }
@@ -982,6 +985,36 @@ function FinishedDownloadsCardsView({
   }
 
   const [skippedMobileKeys, setSkippedMobileKeys] = useState<string[]>([])
+  const mobileStackFrameRef = useRef<HTMLDivElement | null>(null)
+  const mobileStackHeightTimerRef = useRef<number | null>(null)
+  const [mobileStackMinHeight, setMobileStackMinHeight] = useState(0)
+
+  const lockMobileStackHeight = useCallback((durationMs = 520) => {
+    if (!isSmall) return
+
+    const height = mobileStackFrameRef.current?.getBoundingClientRect().height ?? 0
+    if (height > 0) {
+      setMobileStackMinHeight(Math.ceil(height))
+    }
+
+    if (mobileStackHeightTimerRef.current != null) {
+      window.clearTimeout(mobileStackHeightTimerRef.current)
+    }
+
+    mobileStackHeightTimerRef.current = window.setTimeout(() => {
+      setMobileStackMinHeight(0)
+      mobileStackHeightTimerRef.current = null
+    }, durationMs)
+  }, [isSmall])
+
+  useEffect(() => {
+    return () => {
+      if (mobileStackHeightTimerRef.current != null) {
+        window.clearTimeout(mobileStackHeightTimerRef.current)
+        mobileStackHeightTimerRef.current = null
+      }
+    }
+  }, [])
 
   const mobileOrderedRows = useMemo(() => {
     if (!isSmall || skippedMobileKeys.length === 0) return rows
@@ -1007,13 +1040,14 @@ function FinishedDownloadsCardsView({
 
     const topKey = keyFor(topRow)
 
+    lockMobileStackHeight()
     setSpeedHoldKey((prev) => (prev === topKey ? null : prev))
 
     setSkippedMobileKeys((prev) => [
       ...prev.filter((key) => key !== topKey),
       topKey,
     ])
-  }, [isSmall, mobileOrderedRows, keyFor])
+  }, [isSmall, mobileOrderedRows, keyFor, lockMobileStackHeight])
   
   const mobileStackDepth = 3
 
@@ -1125,6 +1159,11 @@ function FinishedDownloadsCardsView({
 
   // weil wir nach OBEN stacken, brauchen wir oben Platz
   const stackExtraTopPx = Math.max(0, Math.min(mobileVisibleStackRows.length, mobileStackDepth) - 1)
+  const mobileStackShellStyle = useMemo(() => ({
+    overflowX: 'clip',
+    overflowAnchor: 'none',
+    minHeight: mobileStackMinHeight > 0 ? `${mobileStackMinHeight}px` : undefined,
+  }) as CSSProperties, [mobileStackMinHeight])
   
 
   return (
@@ -1139,6 +1178,7 @@ function FinishedDownloadsCardsView({
                 key={`${k}__desktop`}
                 job={j}
                 selectionStore={selectionStore}
+                selectionModeActive={selectionModeActive}
                 isDeleting={deletingKeys.has(k)}
                 isKeeping={keepingKeys.has(k)}
                 isRemoving={removingKeys.has(k)}
@@ -1196,8 +1236,9 @@ function FinishedDownloadsCardsView({
               ) : null
             ) : (
               <div
+                ref={mobileStackFrameRef}
                 className="relative mx-auto w-full max-w-[560px] overflow-y-visible"
-                style={{ overflowX: 'clip' }}
+                style={mobileStackShellStyle}
               >
                 {/* feste Höhe für den Stapel (damit die unteren Karten sichtbar “rausgucken”) */}
                 <div
@@ -1295,14 +1336,14 @@ function FinishedDownloadsCardsView({
                             renderRole: 'top',
                           })
 
-                          const selectionModeActive = selectionStore.hasAnySelection()
+                          const topCardSelectionModeActive = selectionModeActive
 
                           const canSpeedHold =
                             !inlineActive &&
                             !busy &&
                             (
                               allowTeaserAnimation ||
-                              (selectionModeActive && teaserState.mode !== 'still')
+                              (topCardSelectionModeActive && teaserState.mode !== 'still')
                             )
 
                           return (
@@ -1331,7 +1372,7 @@ function FinishedDownloadsCardsView({
                                   onTap={() => {
                                     if (!mobileTopTapEnabled) return
 
-                                    if (selectionStore.hasAnySelection()) {
+                                    if (topCardSelectionModeActive) {
                                       onToggleSelected(j)
                                       return
                                     }
@@ -1350,10 +1391,12 @@ function FinishedDownloadsCardsView({
                                     })
                                   }}
                                   onSwipeLeft={async () => {
+                                    lockMobileStackHeight()
                                     setMobileTopTeaserEnabled(false)
                                     return await deleteVideo(j)
                                   }}
                                   onSwipeRight={async () => {
+                                    lockMobileStackHeight()
                                     setMobileTopTeaserEnabled(false)
                                     return await keepVideo(j)
                                   }}

frontend/src/components/ui/FinishedDownloadsDesktopCard.tsx

@@ -46,6 +46,7 @@ import { autoTagsForJob, mergeTags } from './autoTags'
 export type FinishedDownloadsDesktopCardProps = {
   job: RecordJob
   selectionStore: FinishedSelectionStore
+  selectionModeActive: boolean
   isDeleting: boolean
   isKeeping: boolean
   isRemoving: boolean
@@ -137,6 +138,7 @@ const FinishedDownloadsDesktopCard = memo(
   function FinishedDownloadsDesktopCard({
     job: j,
     selectionStore,
+    selectionModeActive,
     isDeleting,
     isKeeping,
     isRemoving,
@@ -199,12 +201,12 @@ const FinishedDownloadsDesktopCard = memo(
     })
 
     const handleSelectOrOpen = useCallback(() => {
-      if (selectionStore.hasAnySelection()) {
+      if (selectionModeActive) {
         onToggleSelected(j)
         return true
       }
       return false
-    }, [selectionStore, onToggleSelected, j])
+    }, [selectionModeActive, onToggleSelected, j])
 
     const clearLongPressTimer = useCallback(() => {
       if (longPressTimerRef.current !== null) {
@@ -216,14 +218,14 @@ const FinishedDownloadsDesktopCard = memo(
     const startLongPressSelect = useCallback(() => {
       clearLongPressTimer()
 
-      if (selectionStore.hasAnySelection()) return
+      if (selectionModeActive) return
 
       longPressTimerRef.current = window.setTimeout(() => {
         longPressTimerRef.current = null
         longPressTriggeredRef.current = true
         onToggleSelected(j)
       }, 450)
-    }, [clearLongPressTimer, selectionStore, onToggleSelected, j])
+    }, [clearLongPressTimer, selectionModeActive, onToggleSelected, j])
 
     const previewMuted = forcePreviewMuted ? true : !allowSound
 
@@ -378,7 +380,7 @@ const FinishedDownloadsDesktopCard = memo(
         <div
           className={[
             'absolute left-3 top-3 z-40 hidden transition-opacity duration-150 lg:block',
-            checked ? 'opacity-100' : 'opacity-0 group-hover:opacity-100 group-focus-within:opacity-100',
+            checked || selectionModeActive ? 'opacity-100' : 'opacity-0 group-hover:opacity-100 group-focus-within:opacity-100',
           ].join(' ')}
           onClick={(e) => e.stopPropagation()}
           onMouseDown={(e) => e.stopPropagation()}

frontend/src/components/ui/FinishedVideoPreview.tsx

@@ -90,6 +90,60 @@ function baseName(path: string) {
   return (path || '').split(/[\\/]/).pop() || ''
 }
 
+function isMobilePreviewConstrained() {
+  if (typeof window === 'undefined') return false
+
+  const coarsePointer =
+    typeof window.matchMedia === 'function' &&
+    (
+      window.matchMedia('(pointer: coarse)').matches ||
+      window.matchMedia('(hover: none)').matches
+    )
+
+  return coarsePointer
+}
+
+function useMobilePreviewConstrained() {
+  const [constrained, setConstrained] = useState(isMobilePreviewConstrained)
+
+  useEffect(() => {
+    if (typeof window === 'undefined') return
+    if (typeof window.matchMedia !== 'function') return
+
+    const queries = [
+      window.matchMedia('(pointer: coarse)'),
+      window.matchMedia('(hover: none)'),
+    ]
+
+    const update = () => setConstrained(isMobilePreviewConstrained())
+
+    update()
+
+    const cleanups: Array<() => void> = []
+    for (const query of queries) {
+      if (typeof query.addEventListener === 'function') {
+        query.addEventListener('change', update)
+        cleanups.push(() => query.removeEventListener('change', update))
+      } else {
+        query.addListener?.(update)
+        cleanups.push(() => query.removeListener?.(update))
+      }
+    }
+
+    window.addEventListener('resize', update)
+    window.addEventListener('orientationchange', update)
+
+    return () => {
+      for (const cleanup of cleanups) cleanup()
+
+      window.removeEventListener('resize', update)
+      window.removeEventListener('orientationchange', update)
+    }
+  }, [])
+
+  return constrained
+}
+
 export default function FinishedVideoPreview({
   job,
   getFileName,
@@ -319,8 +373,14 @@ export default function FinishedVideoPreview({
     return !document.hidden
   })
 
+  const mobilePreviewConstrained = useMobilePreviewConstrained()
   const effectiveInView = forceActive || inView
   const effectiveNearView = forceActive || nearView
+  const metadataLoadRangeActive = mobilePreviewConstrained
+    ? inView
+    : forceActive || effectiveNearView || effectiveInView
+  const teaserRetryDelayMs = mobilePreviewConstrained ? 450 : 120
+  const teaserWatchdogMs = mobilePreviewConstrained ? 700 : 180
 
   const inlineMode: 'never' | 'always' | 'hover' =
     inlineVideo === true || inlineVideo === 'always' ? 'always' : inlineVideo === 'hover' ? 'hover' : 'never'
@@ -517,7 +577,7 @@ export default function FinishedVideoPreview({
     return { ratio, globalSec: Math.max(0, globalSec), vvDur }
   }
 
-  const hardStop = (v: HTMLVideoElement | null) => {
+  const hardStop = useCallback((v: HTMLVideoElement | null) => {
     if (!v) return
     try {
       v.pause()
@@ -528,7 +588,7 @@ export default function FinishedVideoPreview({
       v.src = ''
       v.load()
     } catch {}
-  }
+  }, [])
 
   useEffect(() => {
     return () => {
@@ -581,7 +641,7 @@ export default function FinishedVideoPreview({
       window.removeEventListener('player:release', onRelease as EventListener)
       window.removeEventListener('player:close', onRelease as EventListener)
     }
-  }, [file])
+  }, [file, hardStop])
 
   // --- IntersectionObserver: echtes inView (für Playback)
   useEffect(() => {
@@ -716,7 +776,8 @@ export default function FinishedVideoPreview({
 
   // ✅ Teaser/Clips "vorwärmen": schon in nearView erlauben
   const shouldPreloadAnimatedAssets =
-    forceActive || effectiveNearView || effectiveInView || (wantsHover && hovered)
+    !mobilePreviewConstrained &&
+    (forceActive || effectiveNearView || effectiveInView || (wantsHover && hovered))
 
   useEffect(() => {
     if (animatedMode !== 'teaser' || showingInlineVideo || !teaserActive) {
@@ -808,10 +869,12 @@ export default function FinishedVideoPreview({
   }
 
   // ✅ aktive Asset-Nutzung (z.B. poster etc.)
-  const shouldLoadAssets = shouldPreloadAnimatedAssets
+  const shouldLoadAssets =
+    shouldPreloadAnimatedAssets || effectiveInView || showingInlineVideo || teaserActive
   
   const teaserCanPrewarm =
     animated &&
+    !mobilePreviewConstrained &&
     animatedMode === 'teaser' &&
     Boolean(teaserSrc) &&
     !showingInlineVideo &&
@@ -1037,12 +1100,12 @@ export default function FinishedVideoPreview({
     const onLoadedData = () => {
       setTeaserReady(true)
       tryPlay()
-      scheduleRetry(120)
+      scheduleRetry(teaserRetryDelayMs)
     }
 
     const onCanPlay = () => {
       tryPlay()
-      scheduleRetry(120)
+      scheduleRetry(teaserRetryDelayMs)
     }
 
     const onPause = () => {
@@ -1053,12 +1116,12 @@ export default function FinishedVideoPreview({
       if (el.ended) return
 
       // iOS-Fall: erster Frame sichtbar, aber Playback stoppt direkt wieder
-      scheduleRetry(120)
+      scheduleRetry(teaserRetryDelayMs)
     }
 
     const onWaiting = () => {
       if (cancelled) return
-      scheduleRetry(120)
+      scheduleRetry(teaserRetryDelayMs)
     }
 
     vv.addEventListener('playing', onPlaying)
@@ -1090,15 +1153,15 @@ export default function FinishedVideoPreview({
       const stalledFor = now - teaserLastProgressTimeRef.current
       const ct = Number(el.currentTime)
 
-      if ((!Number.isFinite(ct) || ct <= 0.05) && stalledFor > 180) {
+      if ((!Number.isFinite(ct) || ct <= 0.05) && stalledFor > teaserWatchdogMs) {
         tryPlay({ resetToStart: true })
         return
       }
 
-      if (el.paused && !el.ended && stalledFor > 180) {
+      if (el.paused && !el.ended && stalledFor > teaserWatchdogMs) {
         tryPlay()
       }
-    }, 180)
+    }, teaserWatchdogMs)
 
     return () => {
       cancelled = true
@@ -1114,7 +1177,15 @@ export default function FinishedVideoPreview({
       if (typeof raf2 === 'number') cancelAnimationFrame(raf2)
       window.clearInterval(watchdog)
     }
-  }, [teaserActive, animatedMode, teaserSrc, pageVisible])
+  }, [
+    teaserActive,
+    animatedMode,
+    teaserSrc,
+    pageVisible,
+    teaserRetryDelayMs,
+    teaserWatchdogMs,
+    teaserSpeedHold,
+  ])
 
   useEffect(() => {
     if (!activationNonce) return
@@ -1213,7 +1284,7 @@ export default function FinishedVideoPreview({
     sync()
 
     // ✅ Sekundentakt (robust, unabhängig von raf/play-events)
-    timer = window.setInterval(sync, 100)
+    timer = window.setInterval(sync, mobilePreviewConstrained ? 250 : 100)
 
     // optional: bei metadata/timeupdate sofort einmal syncen
     const onLoaded = () => sync()
@@ -1230,7 +1301,7 @@ export default function FinishedVideoPreview({
       vv.removeEventListener('durationchange', onLoaded)
       vv.removeEventListener('timeupdate', onTime)
     }
-  }, [showProgressBar, progressVideoRef, progressTotalSeconds, previewClipMapKey, progressKind, previewClipMap, progressMountTick])
+  }, [showProgressBar, progressVideoRef, progressTotalSeconds, previewClipMapKey, progressKind, previewClipMap, progressMountTick, mobilePreviewConstrained])
 
   useEffect(() => {
     if (!showingInlineVideo) return
@@ -1287,7 +1358,7 @@ export default function FinishedVideoPreview({
 
   // ✅ brauchen wir noch hidden-metadata-load?
   const needHiddenMeta =
-    (forceActive || effectiveNearView || effectiveInView) &&
+    metadataLoadRangeActive &&
     (onDuration || onResolution) &&
     !metaLoaded &&
     !showingInlineVideo &&
@@ -1437,7 +1508,7 @@ export default function FinishedVideoPreview({
           playsInline
           autoPlay
           loop
-          preload="auto"
+          preload={mobilePreviewConstrained ? 'metadata' : 'auto'}
           poster={shouldLoadAssets ? (thumbSrc || undefined) : undefined}
           onLoadedData={() => {
             setTeaserOk(true)

frontend/src/components/ui/Icons.tsx

@@ -1100,8 +1100,8 @@ const SEGMENT_LABEL_META: SegmentLabelMeta[] = [
     icon: DoggyIcon,
   },
   {
-    match: ['unknown'],
+    match: ['keine'],
-    text: 'Unbekannt',
+    text: 'Keine',
     icon: UnknownContentIcon,
   },
   // People

frontend/src/components/ui/SwipeCard.tsx

@@ -451,8 +451,6 @@ const SwipeCard = forwardRef<SwipeCardHandle, SwipeCardProps>(function SwipeCard
     thresholdRef.current ||
     Math.min(thresholdPx, (cardRef.current?.offsetWidth || 360) * thresholdRatio)
 
-  const reveal = clamp(absDx / Math.max(1, activeThreshold), 0, 1)
-
   const revealSoft = clamp(absDx / Math.max(1, activeThreshold * 1.35), 0, 1)
 
   const tiltDeg = clamp(dx / 34, -ROTATE_MAX_DEG, ROTATE_MAX_DEG)
@@ -478,17 +476,14 @@ const SwipeCard = forwardRef<SwipeCardHandle, SwipeCardProps>(function SwipeCard
           transform:
             dx !== 0
               ? `translate3d(${dx}px,0,0) rotate(${tiltDeg}deg) scale(${dragScale})`
-              : undefined,
+              : 'translate3d(0,0,0)',
           transition: animMs
             ? `transform ${animMs}ms cubic-bezier(0.22, 1, 0.36, 1)`
             : undefined,
           touchAction: baseTouchAction,
-          willChange: dx !== 0 ? 'transform' : undefined,
+          willChange: 'transform',
+          backfaceVisibility: 'hidden',
           borderRadius: dx !== 0 ? '12px' : undefined,
-          filter:
-            dx !== 0
-              ? `saturate(${1 + reveal * 0.06}) brightness(${1 + reveal * 0.015})`
-              : undefined,
         }}
         onPointerDown={(e) => {
           if (!enabled || disabled) return

frontend/src/components/ui/TrainingFeedbackHistoryModal.tsx

@@ -84,6 +84,19 @@ function clampPercent(value: number) {
   return Math.max(0, Math.min(100, value))
 }
 
+const NO_SEX_POSITION_LABEL = 'keine'
+const NO_SEX_POSITION_ALIASES = new Set([
+  '',
+  NO_SEX_POSITION_LABEL,
+])
+
+function normalizeSexPositionValue(value?: string | null) {
+  const clean = String(value ?? '').trim()
+  return NO_SEX_POSITION_ALIASES.has(clean.toLowerCase())
+    ? NO_SEX_POSITION_LABEL
+    : clean
+}
+
 function normalizeBox(box: TrainingFeedbackBox): TrainingFeedbackBox {
   const x = clamp01(Number(box.x))
   const y = clamp01(Number(box.y))
@@ -104,7 +117,7 @@ function annotationEffectiveCorrection(
 ): TrainingFeedbackCorrection {
   if (annotation.negative) {
     return {
-      sexPosition: 'unknown',
+      sexPosition: NO_SEX_POSITION_LABEL,
       peoplePresent: [],
       bodyPartsPresent: [],
       objectsPresent: [],
@@ -114,11 +127,14 @@ function annotationEffectiveCorrection(
   }
 
   if (annotation.correction) {
-    return annotation.correction
+    return {
+      ...annotation.correction,
+      sexPosition: normalizeSexPositionValue(annotation.correction.sexPosition),
+    }
   }
 
   return {
-    sexPosition: annotation.prediction.sexPosition || 'unknown',
+    sexPosition: normalizeSexPositionValue(annotation.prediction.sexPosition),
     peoplePresent: (annotation.prediction.peoplePresent ?? []).map((item) => item.label),
     bodyPartsPresent: (annotation.prediction.bodyPartsPresent ?? []).map((item) => item.label),
     objectsPresent: (annotation.prediction.objectsPresent ?? []).map((item) => item.label),
@@ -685,7 +701,7 @@ function FeedbackListItem(props: {
             </span>
 
             <span className="max-w-full truncate rounded-full bg-gray-50 px-2 py-0.5 ring-1 ring-black/5 dark:bg-white/5 dark:ring-white/10">
-              {effective.sexPosition || 'unknown'}
+              {normalizeSexPositionValue(effective.sexPosition)}
             </span>
           </div>
         </div>
@@ -850,7 +866,7 @@ function ResultLabelsCard(props: {
   const groups = [
     {
       title: 'Position',
-      values: [props.effective.sexPosition || 'unknown'],
+      values: [normalizeSexPositionValue(props.effective.sexPosition)],
     },
     {
       title: 'Personen',

frontend/src/types.ts

@@ -190,6 +190,8 @@ export type RecordJob = {
 
   phase?: string
   progress?: number
+  stopRequestedAtMs?: number
+  stopAttempts?: number
 
   postWorkKey?: string
   postWork?: PostWorkKeyStatus