Worked on card value detection

test/cv_helper.py

@@ -6,8 +6,6 @@ import cv2
 import numpy
 import itertools
 
-A = cv2.imread("Solitaire.png")
-
 
 def pixelcount(image: numpy.ndarray) -> List[Tuple[Tuple[int, int, int], int]]:
     p: Dict[Tuple[int, int, int], int] = {(0, 0, 0): 0}
@@ -31,14 +29,24 @@ def simplify(image: numpy.ndarray) -> None:
 
 
 def main() -> None:
-    adj = adjustment.adjust_field(A)
-    image_squares = card_finder.get_field_squares(A, adj)
-    for img in image_squares:
-        print(*pixelcount(img), sep='\n')
-        cv2.imshow("Window", img)
-        cv2.waitKey(0)
-        cv2.destroyWindow("Window")
-        print()
+    image = cv2.imread("Solitaire.png")
+    image2 = cv2.imread("Solitaire2.png")
+    image2 = cv2.resize(image2, (1000, 629))
+
+    adj = adjustment.adjust_field(image)
+    squares = card_finder.get_simplified_squares(image, adj)
+    print("Simplified")
+
+    adj.x -= 2
+    adj.y -= 2
+    adj.w += 5
+    adj.h += 5
+
+    image_squares = card_finder.get_field_squares(image2, adj)
+    for i in range(10,20):
+        image_squares[i], _ = card_finder.simplify(image_squares[i])
+        print("Finding...")
+        found_image, certainty = card_finder.find_square(image_squares[i], squares)
 
 
 if __name__ == "__main__":