opencv/samples/swig_python/ffilldemo.py

161 lines
4.7 KiB
Python
Executable File

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