/
grabcut_opencv.py
180 lines (150 loc) · 6.3 KB
/
grabcut_opencv.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
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
#!/usr/bin/env python
'''
===============================================================================
Interactive Image Segmentation using GrabCut algorithm.
This sample shows interactive image segmentation using grabcut algorithm.
USAGE:
python grabcut.py <filename>
README FIRST:
Two windows will show up, one for input and one for output.
At first, in input window, draw a rectangle around the object using
mouse right button. Then press 'n' to segment the object (once or a few times)
For any finer touch-ups, you can press any of the keys below and draw lines on
the areas you want. Then again press 'n' for updating the output.
Key '0' - To select areas of sure background
Key '1' - To select areas of sure foreground
Key '2' - To select areas of probable background
Key '3' - To select areas of probable foreground
Key 'n' - To update the segmentation
Key 'r' - To reset the setup
Key 's' - To save the results
===============================================================================
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
import sys
BLUE = [255,0,0] # rectangle color
RED = [0,0,255] # PR BG
GREEN = [0,255,0] # PR FG
BLACK = [0,0,0] # sure BG
WHITE = [255,255,255] # sure FG
DRAW_BG = {'color' : BLACK, 'val' : 0}
DRAW_FG = {'color' : WHITE, 'val' : 1}
DRAW_PR_FG = {'color' : GREEN, 'val' : 3}
DRAW_PR_BG = {'color' : RED, 'val' : 2}
# setting up flags
rect = (0,0,1,1)
drawing = False # flag for drawing curves
rectangle = False # flag for drawing rect
rect_over = False # flag to check if rect drawn
rect_or_mask = 100 # flag for selecting rect or mask mode
value = DRAW_FG # drawing initialized to FG
thickness = 3 # brush thickness
def onmouse(event,x,y,flags,param):
global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over
# Draw Rectangle
if event == cv.EVENT_RBUTTONDOWN:
rectangle = True
ix,iy = x,y
elif event == cv.EVENT_MOUSEMOVE:
if rectangle == True:
img = img2.copy()
cv.rectangle(img,(ix,iy),(x,y),BLUE,2)
rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y))
rect_or_mask = 0
elif event == cv.EVENT_RBUTTONUP:
rectangle = False
rect_over = True
cv.rectangle(img,(ix,iy),(x,y),BLUE,2)
rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y))
rect_or_mask = 0
print(" Now press the key 'n' a few times until no further change \n")
# draw touchup curves
if event == cv.EVENT_LBUTTONDOWN:
if rect_over == False:
print("first draw rectangle \n")
else:
drawing = True
cv.circle(img,(x,y),thickness,value['color'],-1)
cv.circle(mask,(x,y),thickness,value['val'],-1)
elif event == cv.EVENT_MOUSEMOVE:
if drawing == True:
cv.circle(img,(x,y),thickness,value['color'],-1)
cv.circle(mask,(x,y),thickness,value['val'],-1)
elif event == cv.EVENT_LBUTTONUP:
if drawing == True:
drawing = False
cv.circle(img,(x,y),thickness,value['color'],-1)
cv.circle(mask,(x,y),thickness,value['val'],-1)
if __name__ == '__main__':
# print documentation
print(__doc__)
# Loading images
if len(sys.argv) == 2:
filename = sys.argv[1] # for drawing purposes
else:
print("No input image given, so loading default image, messi5.jpg \n")
print("Correct Usage: python grabcut.py <filename> \n")
filename = 'messi5.jpg'
img = cv.imread(filename)
img2 = img.copy() # a copy of original image
mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
output = np.zeros(img.shape,np.uint8) # output image to be shown
# input and output windows
cv.namedWindow('output')
cv.namedWindow('input')
cv.setMouseCallback('input',onmouse)
cv.moveWindow('input',img.shape[1]+10,90)
print(" Instructions: \n")
print(" Draw a rectangle around the object using right mouse button \n")
while(1):
cv.imshow('output',output)
cv.imshow('input',img)
k = cv.waitKey(1)
# key bindings
if k == 27: # esc to exit
break
elif k == ord('0'): # BG drawing
print(" mark background regions with left mouse button \n")
value = DRAW_BG
elif k == ord('1'): # FG drawing
print(" mark foreground regions with left mouse button \n")
value = DRAW_FG
elif k == ord('2'): # PR_BG drawing
value = DRAW_PR_BG
elif k == ord('3'): # PR_FG drawing
value = DRAW_PR_FG
elif k == ord('s'): # save image
bar = np.zeros((img.shape[0],5,3),np.uint8)
res = np.hstack((img2,bar,img,bar,output))
cv.imwrite('grabcut_output.png',res)
print(" Result saved as image \n")
elif k == ord('r'): # reset everything
print("resetting \n")
rect = (0,0,1,1)
drawing = False
rectangle = False
rect_or_mask = 100
rect_over = False
value = DRAW_FG
img = img2.copy()
mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
output = np.zeros(img.shape,np.uint8) # output image to be shown
elif k == ord('n'): # segment the image
print(""" For finer touchups, mark foreground and background after pressing keys 0-3
and again press 'n' \n""")
print(rect)
if (rect_or_mask == 0): # grabcut with rect
bgdmodel = np.zeros((1,65),np.float64)
fgdmodel = np.zeros((1,65),np.float64)
cv.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv.GC_INIT_WITH_RECT)
rect_or_mask = 1
elif rect_or_mask == 1: # grabcut with mask
bgdmodel = np.zeros((1,65),np.float64)
fgdmodel = np.zeros((1,65),np.float64)
cv.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv.GC_INIT_WITH_MASK)
mask2 = np.where((mask==1) + (mask==3),255,0).astype('uint8')
output = cv.bitwise_and(img2,img2,mask=mask2)
cv.destroyAllWindows()