-
Notifications
You must be signed in to change notification settings - Fork 0
/
utils.py
140 lines (120 loc) · 4.48 KB
/
utils.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
import cv2
import numpy as np
WIDTH_IMG = 576
HEIGHT_IMG = 576
def find_board(image):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blured = cv2.GaussianBlur(gray, (5, 5), 1)
thresh = cv2.adaptiveThreshold(blured, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 2)
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
points = np.array([])
max_area = 0
for contour in contours:
area = cv2.contourArea(contour)
if area > 50:
peri = cv2.arcLength(contour, True)
approx = cv2.approxPolyDP(contour, 0.02 * peri, True)
if area > max_area and len(approx) == 4:
points = approx
max_area = area
if points.size != 0:
points = points.reshape((4, 2))
rect = np.zeros((4, 1, 2), dtype=np.int32)
add = np.sum(points, axis=1)
rect[0] = points[np.argmin(add)]
rect[3] = points[np.argmax(add)]
diff = np.diff(points, axis=1)
rect[1] = points[np.argmin(diff)]
rect[2] = points[np.argmax(diff)]
return rect
def create_perspective_matrix(points):
pts1 = np.float32(points)
pts2 = np.float32([[0, 0], [WIDTH_IMG, 0], [0, HEIGHT_IMG], [WIDTH_IMG, HEIGHT_IMG]])
matrix = cv2.getPerspectiveTransform(pts1, pts2)
return matrix
def split_cells(image):
rows = np.vsplit(image, 9)
cells = []
for r in rows:
cols = np.hsplit(r, 9)
for cell in cols:
cells.append(cell)
return cells
def extract_digit(cell):
height, width = cell.shape
percent = 0.1
cell = cell[int(height*percent):height-int(height*percent)+1,
int(width*percent):width-int(width*percent)+1]
bitmap = cv2.threshold(cell, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
(h, w) = bitmap.shape
percentFilled = cv2.countNonZero(bitmap) / float(w * h)
if percentFilled > 0.2:
return None
contours, _ = cv2.findContours(bitmap.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if len(contours) == 0:
return None
contour = max(contours, key=cv2.contourArea)
mask = np.zeros(bitmap.shape, dtype=np.uint8)
cv2.drawContours(mask, [contour], -1, 255, -1)
digit = cv2.bitwise_and(bitmap, bitmap, mask=mask)
digit = cv2.resize(digit, (32, 32))
return digit
def predict_digits(cells, model):
board = []
for cell in cells:
digit = extract_digit(cell)
if digit is not None:
input_blob = cv2.dnn.blobFromImage(image=digit)
model.setInput(input_blob)
pred = model.forward()
label = np.argmax(pred) + 1
probabilityValue = pred[0][np.argmax(pred)]
if probabilityValue > 0.8:
board.append(label)
else:
board.append(0)
else:
board.append(0)
board = np.array(board).reshape(9, 9)
return board
def draw_grid(image, matrix):
stepX = WIDTH_IMG // 9
stepY = HEIGHT_IMG // 9
pts = []
for y in [0, 9]:
for x in range(0, 10):
startX = x * stepX
startY = y * stepY
pts.append([[startX, startY]])
for x in [0, 9]:
for y in range(0, 10):
startX = x * stepX
startY = y * stepY
pts.append([[startX, startY]])
pts = np.array(pts, dtype=np.float32)
pts = cv2.perspectiveTransform(pts, matrix).astype(np.int32)
pts = pts.reshape(4, 10, 2)
pts1, pts2 = pts[0], pts[1]
for pt1, pt2 in zip(pts1, pts2):
cv2.line(image, tuple(pt1), tuple(pt2), (0, 0, 255), 3)
pts1, pts2 = pts[2], pts[3]
for pt1, pt2 in zip(pts1, pts2):
cv2.line(image, tuple(pt1), tuple(pt2), (0, 0, 255), 3)
def draw_numbers(image, board, matrix, mask):
stepX = WIDTH_IMG // 9
stepY = HEIGHT_IMG // 9
for y in range(0, 9):
for x in range(0, 9):
startX = x * stepX
startY = y * stepY
endX = (x + 1) * stepX
endY = (y + 1) * stepY
centerX = (startX + endX) // 2
centerY = (startY + endY) // 2
pt = np.array([[[centerX, centerY]]], dtype=np.float32)
pt = cv2.perspectiveTransform(pt, matrix)
centerX = int(pt[0][0][0])
centerY = int(pt[0][0][1])
color = (0, 0, 0) if mask[y][x] else (0, 0, 255)
cv2.putText(image, str(board[y, x]), (centerX-10, centerY+10),
cv2.FONT_HERSHEY_SCRIPT_SIMPLEX, 1, color, thickness=2)