Made image detection work

test/test_cv.py

@@ -8,17 +8,18 @@ import numpy as np
 from shenzhen_solitaire import board
 from shenzhen_solitaire.card_detection import adjustment, board_parser
 from shenzhen_solitaire.card_detection.configuration import Configuration
+from . import boards
 
 
 class CardDetectionTest(unittest.TestCase):
     def test_parse(self) -> None:
-        """Parse a configuration"""
-        with open("pictures/20190809172213_1.jpg", "rb") as png_file:
-            img_str = png_file.read()
-        nparr = np.frombuffer(img_str, np.uint8)
-        image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-        # image = cv2.resize(image, (1000, 629))
+        """Parse a configuration and a board"""
+        image = cv2.imread("pictures/20190809172206_1.jpg")
 
         loaded_config = Configuration.load("test_config.zip")
-        # loaded_config.field_adjustment = adjustment.adjust_field(image)
-        print(board_parser.parse_board(image, loaded_config))
+        my_board = board_parser.parse_board(image, loaded_config)
+
+        for rows in zip(boards.B20190809172206_1.field, my_board.field):
+            for good_cell, test_cell in zip(*rows):
+                self.assertEqual(good_cell, test_cell)
+