Started working on cv

shenzhen_solitaire/board_cv.py

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+import cv2
+import numpy
+from typing import Optional
+from dataclasses import dataclass
+
+A = cv2.imread("Solitaire.png")
+
+
+@dataclass
+class Adjustment:
+    x: int
+    y: int
+    w: int
+    h: int
+    dx: int
+    dy: int
+
+
+def adjust_squares(
+        image: numpy.ndarray,
+        count_x: int,
+        count_y: int,
+        preset: Optional[Adjustment]) -> Adjustment:
+    result = preset
+    if not result:
+        result = Adjustment(0, 0, 0, 0, 0, 0)
+    while True:
+        B = image.copy()
+        for ix in range(count_x):
+            for iy in range(count_y):
+                cv2.rectangle(B, (result.x +
+                                  result.dx *
+                                  ix, result.y +
+                                  result.dy *
+                                  iy), (result.x +
+                                        result.w +
+                                        result.dx *
+                                        ix, result.y +
+                                        result.h +
+                                        result.dy *
+                                        iy), (0, 0, 0))
+        cv2.imshow('Window', B)
+        k = cv2.waitKey(0)
+        print(k)
+        if k == 27:
+            break
+        elif k == 81:
+            result.x -= 1
+        elif k == 83:
+            result.x += 1
+        elif k == 82:
+            result.y -= 1
+        elif k == 84:
+            result.y += 1
+        elif k == 104:
+            result.x -= 10
+        elif k == 115:
+            result.x += 10
+        elif k == 116:
+            result.y -= 10
+        elif k == 110:
+            result.y += 10
+        elif k == 97:
+            result.w -= 1
+        elif k == 111:
+            result.h -= 1
+        elif k == 101:
+            result.h += 1
+        elif k == 117:
+            result.w += 1
+        elif k == 59:
+            result.dx -= 1
+        elif k == 44:
+            result.dy -= 1
+        elif k == 46:
+            result.dy += 1
+        elif k == 112:
+            result.dx += 1
+
+    cv2.destroyWindow('Window')
+    return result
+
+
+def adjust_field(image) -> Adjustment:
+    return adjust_squares(image, 8, 5, Adjustment(50, 200, 16, 14, 120, 25))
+
+def adjust_bunker(image) -> Adjustment:
+    return adjust_squares(image, 3, 1)
+
+def adjust_hua(image) -> Adjustment:
+    return adjust_squares(image, 1, 1)
+
+def adjust_goal(image) -> Adjustment:
+    return adjust_squares(image, 3, 1)
+
+
+print(adjust_field(A))