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Open Source Computer Vision Library
https://opencv.org/
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161 lines
4.7 KiB
161 lines
4.7 KiB
15 years ago
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#!/usr/bin/python
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import sys
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import random
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from opencv.cv import *
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from opencv.highgui import *
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color_img0=None;
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mask=None;
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color_img=None;
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gray_img0 = None;
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gray_img = None;
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ffill_case = 1;
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lo_diff = 20
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up_diff = 20;
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connectivity = 4;
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is_color = 1;
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is_mask = 0;
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new_mask_val = 255;
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def update_lo( pos ):
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lo_diff = pos
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def update_up( pos ):
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up_diff = pos
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def on_mouse( event, x, y, flags, param ):
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if( not color_img ):
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return;
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if event==CV_EVENT_LBUTTONDOWN:
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comp = CvConnectedComp()
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my_mask = None
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seed = cvPoint(x,y);
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if ffill_case==0:
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lo = up = 0
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flags = connectivity + (new_mask_val << 8)
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else:
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lo = lo_diff;
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up = up_diff;
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flags = connectivity + (new_mask_val << 8) + CV_FLOODFILL_FIXED_RANGE
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b = random.randint(0,255)
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g = random.randint(0,255)
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r = random.randint(0,255)
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if( is_mask ):
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my_mask = mask
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cvThreshold( mask, mask, 1, 128, CV_THRESH_BINARY );
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if( is_color ):
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color = CV_RGB( r, g, b );
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cvFloodFill( color_img, seed, color, CV_RGB( lo, lo, lo ),
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CV_RGB( up, up, up ), comp, flags, my_mask );
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cvShowImage( "image", color_img );
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else:
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brightness = cvRealScalar((r*2 + g*7 + b + 5)/10);
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cvFloodFill( gray_img, seed, brightness, cvRealScalar(lo),
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cvRealScalar(up), comp, flags, my_mask );
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cvShowImage( "image", gray_img );
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print "%g pixels were repainted" % comp.area;
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if( is_mask ):
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cvShowImage( "mask", mask );
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if __name__ == "__main__":
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filename = "../c/fruits.jpg"
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if len(sys.argv)>1:
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filename=argv[1]
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color_img0 = cvLoadImage(filename,1)
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if not color_img0:
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print "Could not open %s" % filename
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sys.exit(-1)
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print "Hot keys:"
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print "\tESC - quit the program"
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print "\tc - switch color/grayscale mode"
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print "\tm - switch mask mode"
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print "\tr - restore the original image"
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print "\ts - use null-range floodfill"
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print "\tf - use gradient floodfill with fixed(absolute) range"
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print "\tg - use gradient floodfill with floating(relative) range"
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print "\t4 - use 4-connectivity mode"
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print "\t8 - use 8-connectivity mode"
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color_img = cvCloneImage( color_img0 );
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gray_img0 = cvCreateImage( cvSize(color_img.width, color_img.height), 8, 1 );
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cvCvtColor( color_img, gray_img0, CV_BGR2GRAY );
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gray_img = cvCloneImage( gray_img0 );
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mask = cvCreateImage( cvSize(color_img.width + 2, color_img.height + 2), 8, 1 );
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cvNamedWindow( "image", 1 );
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cvCreateTrackbar( "lo_diff", "image", lo_diff, 255, update_lo);
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cvCreateTrackbar( "up_diff", "image", up_diff, 255, update_up);
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cvSetMouseCallback( "image", on_mouse );
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while True:
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if( is_color ):
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cvShowImage( "image", color_img );
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else:
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cvShowImage( "image", gray_img );
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c = cvWaitKey(0);
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if c=='\x1b':
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print("Exiting ...");
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sys.exit(0)
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elif c=='c':
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if( is_color ):
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print("Grayscale mode is set");
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cvCvtColor( color_img, gray_img, CV_BGR2GRAY );
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is_color = 0;
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else:
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print("Color mode is set");
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cvCopy( color_img0, color_img, None );
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cvZero( mask );
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is_color = 1;
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elif c=='m':
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if( is_mask ):
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cvDestroyWindow( "mask" );
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is_mask = 0;
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else:
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cvNamedWindow( "mask", 0 );
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cvZero( mask );
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cvShowImage( "mask", mask );
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is_mask = 1;
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elif c=='r':
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print("Original image is restored");
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cvCopy( color_img0, color_img, None );
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cvCopy( gray_img0, gray_img, None );
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cvZero( mask );
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elif c=='s':
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print("Simple floodfill mode is set");
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ffill_case = 0;
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elif c=='f':
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print("Fixed Range floodfill mode is set");
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ffill_case = 1;
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elif c=='g':
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print("Gradient (floating range) floodfill mode is set");
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ffill_case = 2;
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elif c=='4':
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print("4-connectivity mode is set");
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connectivity = 4;
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elif c=='8':
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print("8-connectivity mode is set");
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connectivity = 8;
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