--- /dev/null
+#!/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
+===============================================================================
+'''
+
+import numpy as np
+import cv2
+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 == cv2.EVENT_RBUTTONDOWN:
+ rectangle = True
+ ix,iy = x,y
+
+ elif event == cv2.EVENT_MOUSEMOVE:
+ if rectangle == True:
+ img = img2.copy()
+ cv2.rectangle(img,(ix,iy),(x,y),BLUE,2)
+ rect = (ix,iy,abs(ix-x),abs(iy-y))
+ rect_or_mask = 0
+
+ elif event == cv2.EVENT_RBUTTONUP:
+ rectangle = False
+ rect_over = True
+ cv2.rectangle(img,(ix,iy),(x,y),BLUE,2)
+ rect = (ix,iy,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 == cv2.EVENT_LBUTTONDOWN:
+ if rect_over == False:
+ print "first draw rectangle \n"
+ else:
+ drawing = True
+ cv2.circle(img,(x,y),thickness,value['color'],-1)
+ cv2.circle(mask,(x,y),thickness,value['val'],-1)
+
+ elif event == cv2.EVENT_MOUSEMOVE:
+ if drawing == True:
+ cv2.circle(img,(x,y),thickness,value['color'],-1)
+ cv2.circle(mask,(x,y),thickness,value['val'],-1)
+
+ elif event == cv2.EVENT_LBUTTONUP:
+ if drawing == True:
+ drawing = False
+ cv2.circle(img,(x,y),thickness,value['color'],-1)
+ cv2.circle(mask,(x,y),thickness,value['val'],-1)
+
+# 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, lena.jpg \n"
+ print "Correct Usage : python grabcut.py <filename> \n"
+ filename = '../cpp/lena.jpg'
+
+img = cv2.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
+cv2.namedWindow('output')
+cv2.namedWindow('input')
+cv2.setMouseCallback('input',onmouse)
+cv2.moveWindow('input',img.shape[1]+10,90)
+
+print " Instructions : \n"
+print " Draw a rectangle around the object using right mouse button \n"
+
+while(1):
+
+ cv2.imshow('output',output)
+ cv2.imshow('input',img)
+ k = cv2.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))
+ cv2.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"""
+ if (rect_or_mask == 0): # grabcut with rect
+ bgdmodel = np.zeros((1,65),np.float64)
+ fgdmodel = np.zeros((1,65),np.float64)
+ cv2.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv2.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)
+ cv2.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv2.GC_INIT_WITH_MASK)
+
+ mask2 = np.where((mask==1) + (mask==3),255,0).astype('uint8')
+ output = cv2.bitwise_and(img2,img2,mask=mask2)
+
+cv2.destroyAllWindows()
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