feat: chunks from google

vision_chunk.py

@@ -1,10 +1,11 @@
 import cv2
 import json
 import numpy as np
+from PIL import Image
 from dataclasses import dataclass, field
 from pathlib import Path
+from position import Position
 from typing import Literal, Optional, Tuple
-from PIL import Image
 
 FeatureMethod = Literal["orb", "sift", "akaze", "brisk"]
 DEFAULT_METHOD = "orb"
@@ -14,6 +15,7 @@ class VisionChunk:
     image: Image.Image
     feature_method: FeatureMethod = DEFAULT_METHOD
 
+    pos: Optional[Position] = field(default=None, init=False)
     keypoints: Optional[list] = field(default=None, init=False)
     descriptors: Optional[np.ndarray] = field(default=None, init=False)
     _detector: Optional[cv2.Feature2D] = field(default=None, init=False, repr=False)
@@ -25,7 +27,7 @@ class VisionChunk:
 
         if self.feature_method == "orb":
             self._detector = cv2.ORB_create(
-                nfeatures=1000,
+                nfeatures=10000,
                 scaleFactor=1.2,
                 nlevels=32,
                 edgeThreshold=31,