Enhance documentation and UI for HVideoTool: added restoration feature for detected regions, updated layout for collection controls, and improved navigation bar. Clarified tool capabilities and limitations in README and CLAUDE.md.

hvideotool/core/restore/inpaint.py

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+"""Classic inpainting restorer (cv2) — the always-available baseline.
+
+HONEST LIMITATION: cv2 inpainting fills the masked region by propagating
+surrounding pixels. It removes the mosaic/bar but does NOT reconstruct the hidden
+detail — it smooths/guesses. For real reconstruction a generative model
+(DeepMosaics / LADA) is needed; this is the no-weights, no-GPU fallback so the
+"Расцензурить кадр" flow works end-to-end today.
+"""
+
+from __future__ import annotations
+
+import cv2
+import numpy as np
+
+from ..detection.types import Detection
+from .base import Restorer
+from .mask import detections_to_mask
+
+
+class InpaintRestorer(Restorer):
+    def __init__(self, radius: int = 3, dilate: int = 2, method: str = "telea") -> None:
+        self.radius = radius
+        self.dilate = dilate
+        self.method = method
+
+    @property
+    def name(self) -> str:
+        return f"InpaintRestorer({self.method})"
+
+    def restore(self, image: np.ndarray, detections: list[Detection]) -> np.ndarray:
+        if not detections:
+            return image.copy()
+        mask = detections_to_mask(image.shape, detections, dilate=self.dilate)
+        flags = cv2.INPAINT_TELEA if self.method == "telea" else cv2.INPAINT_NS
+        return cv2.inpaint(image, mask, self.radius, flags)