Refactor HVideoTool to support project-based workflow: introduced project management features, updated UI for project handling, and enhanced documentation in README and CLAUDE.md. The tool now organizes images and settings into projects, improving usability and detection caching.

hvideotool/core/restore/inpaint.py

@@ -13,7 +13,7 @@ import cv2
 import numpy as np
 
 from ..detection.types import Detection
-from .base import Restorer
+from .base import CancelCheck, Restorer
 from .mask import detections_to_mask
 
 
@@ -27,7 +27,13 @@ class InpaintRestorer(Restorer):
     def name(self) -> str:
         return f"InpaintRestorer({self.method})"
 
-    def restore(self, image: np.ndarray, detections: list[Detection]) -> np.ndarray:
+    def restore(
+        self,
+        image: np.ndarray,
+        detections: list[Detection],
+        should_cancel: CancelCheck | None = None,
+    ) -> np.ndarray:
+        # Single cv2.inpaint call — effectively instant, so cancellation is moot.
         if not detections:
             return image.copy()
         mask = detections_to_mask(image.shape, detections, dilate=self.dilate)