feat: implemented effective but non generative impainting

secure_pixelation/pixelation_process.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+from typing import Optional
 from pathlib import Path
 
 import cv2
@@ -17,6 +18,19 @@ def blackout(raw_image: RawImage) -> np.ndarray:
     return image
 
 
+def impaint(raw_image: RawImage, image: Optional[np.ndarray] = None) -> np.ndarray:
+    image = image if image is not None else raw_image.get_image()
+    
+    # Create a mask where blacked-out areas are marked as 255 (white)
+    mask = np.zeros(image.shape[:2], dtype=np.uint8)
+
+    for (x, y, w, h) in raw_image.bounding_boxes:
+        mask[y:y+h, x:x+w] = 255
+
+    # Apply inpainting using the Telea method
+    return cv2.inpaint(image, mask, inpaintRadius=3, flags=cv2.INPAINT_TELEA)
+
+
 def pixelate(to_detect: str, debug_drawings: bool = True):
     raw_image = RawImage(to_detect)
 
@@ -34,3 +48,6 @@ def pixelate(to_detect: str, debug_drawings: bool = True):
 
     step_1 = blackout(raw_image)
     write_image(step_1, "step_1")
+
+    step_2 = impaint(raw_image, image=step_1)
+    write_image(step_2, "step_2")