Добавлено описание и документация для HVideoTool, включая функционал, требования, установку и запуск приложения для обнаружения цензуры на изображениях.

scripts/training/train_mosaic.py

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+"""Train a YOLO11-seg mosaic detector on a generated synthetic dataset.
+
+Prereqs: pip install -e ".[yolo]" plus PyTorch (CUDA build recommended — see README).
+
+Usage:
+    python scripts/training/train_mosaic.py --data dataset_mosaic/data.yaml --epochs 100
+
+The resulting weights (runs/segment/<name>/weights/best.pt) drop straight into the
+app: Параметры → Детектор «YOLO» → выбрать этот .pt. The class is named "mosaic",
+which YoloDetector maps to CensorType.MOSAIC.
+"""
+
+from __future__ import annotations
+
+import argparse
+
+
+def main() -> None:
+    ap = argparse.ArgumentParser(description="Train YOLO11-seg mosaic detector")
+    ap.add_argument("--data", required=True, help="path to data.yaml from the generator")
+    ap.add_argument("--model", default="yolo11n-seg.pt", help="base model (n/s/m...-seg)")
+    ap.add_argument("--epochs", type=int, default=100)
+    ap.add_argument("--imgsz", type=int, default=640)
+    ap.add_argument("--batch", default="-1", help="batch size (-1 = auto)")
+    ap.add_argument("--device", default=None, help="cuda / 0 / cpu (default: auto)")
+    ap.add_argument("--name", default="mosaic", help="run name under the project dir")
+    ap.add_argument("--project", default=None, help="output dir for runs (default: runs/segment)")
+    args = ap.parse_args()
+
+    try:
+        from ultralytics import YOLO
+    except ImportError as exc:  # pragma: no cover
+        raise SystemExit('Не установлен ultralytics: pip install -e ".[yolo]"') from exc
+
+    batch = int(args.batch) if str(args.batch).lstrip("-").isdigit() else args.batch
+    model = YOLO(args.model)
+    results = model.train(
+        data=args.data,
+        epochs=args.epochs,
+        imgsz=args.imgsz,
+        batch=batch,
+        device=args.device,
+        name=args.name,
+        project=args.project,
+    )
+    save_dir = getattr(results, "save_dir", "runs/segment/" + args.name)
+    print(f"\nГотово. Веса: {save_dir}/weights/best.pt")
+    print("Подключите их в приложении: Параметры → Детектор YOLO → выбрать best.pt")
+
+
+if __name__ == "__main__":
+    main()