Worked on cv

shenzhen_solitaire/cv/card_finder.py

@@ -1,7 +1,9 @@
-from typing import List, Tuple
+from typing import List, Tuple, Optional, Dict
 import numpy
 from .adjustment import Adjustment, get_square
 from .. import board
+import enum
+import itertools
 
 
 def _extract_squares(image: numpy.ndarray,
@@ -20,3 +22,26 @@ def get_field_squares(image: numpy.ndarray,
         for iy in range(5):
             squares.append(get_square(adjustment, ix, iy))
     return _extract_squares(image, squares)
+
+
+class Cardcolor(enum.Enum):
+    Bai = (65, 65, 65)
+    Black = (0, 0, 0)
+    Red = (22, 48, 178)
+    Green = (76, 111, 19)
+    Background = (178, 194, 193)
+
+
+def simplify(image: numpy.ndarray) -> Dict[Cardcolor, int]:
+    result_dict: Dict[Cardcolor, int] = {c: 0 for c in Cardcolor}
+    for pixel in itertools.chain.from_iterable(image):
+        best_color: Optional[Tuple[Cardcolor, int]] = None
+        for color in Cardcolor:
+            mse = sum((x - y) ** 2 for x, y in zip(color.value, pixel))
+            if not best_color or best_color[1] > mse:
+                best_color = (color, mse)
+        assert best_color
+        for i in range(3):
+            pixel[i] = best_color[0].value[i]
+        result_dict[best_color[0]] += 1
+    return result_dict