Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/python
import sys
import random
import urllib2
import cv2.cv as cv
im=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.CV_EVENT_LBUTTONDOWN:
my_mask = None
seed = (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.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
cv.Threshold( mask, mask, 1, 128, cv.CV_THRESH_BINARY );
if( is_color ):
color = cv.CV_RGB( r, g, b );
comp = cv.FloodFill( color_img, seed, color, cv.CV_RGB( lo, lo, lo ),
cv.CV_RGB( up, up, up ), flags, my_mask );
cv.ShowImage( "image", color_img );
else:
brightness = cv.RealScalar((r*2 + g*7 + b + 5)/10);
comp = cv.FloodFill( gray_img, seed, brightness, cv.RealScalar(lo),
cv.RealScalar(up), flags, my_mask );
cv.ShowImage( "image", gray_img );
print "%g pixels were repainted" % comp[0]
if( is_mask ):
cv.ShowImage( "mask", mask );
if __name__ == "__main__":
if len(sys.argv) > 1:
im = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
else:
url = 'https://raw.github.com/Itseez/opencv/master/samples/c/fruits.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
im = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
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 = cv.CloneImage( im );
gray_img0 = cv.CreateImage( (color_img.width, color_img.height), 8, 1 );
cv.CvtColor( color_img, gray_img0, cv.CV_BGR2GRAY );
gray_img = cv.CloneImage( gray_img0 );
mask = cv.CreateImage( (color_img.width + 2, color_img.height + 2), 8, 1 );
cv.NamedWindow( "image", 1 );
cv.CreateTrackbar( "lo_diff", "image", lo_diff, 255, update_lo);
cv.CreateTrackbar( "up_diff", "image", up_diff, 255, update_up);
cv.SetMouseCallback( "image", on_mouse );
while True:
if( is_color ):
cv.ShowImage( "image", color_img );
else:
cv.ShowImage( "image", gray_img );
c = cv.WaitKey(0) % 0x100
if c == 27:
print("Exiting ...");
sys.exit(0)
elif c == ord('c'):
if( is_color ):
print("Grayscale mode is set");
cv.CvtColor( color_img, gray_img, cv.CV_BGR2GRAY );
is_color = 0;
else:
print("Color mode is set");
cv.Copy( im, color_img, None );
cv.Zero( mask );
is_color = 1;
elif c == ord('m'):
if( is_mask ):
cv.DestroyWindow( "mask" );
is_mask = 0;
else:
cv.NamedWindow( "mask", 0 );
cv.Zero( mask );
cv.ShowImage( "mask", mask );
is_mask = 1;
elif c == ord('r'):
print("Original image is restored");
cv.Copy( im, color_img, None );
cv.Copy( gray_img0, gray_img, None );
cv.Zero( mask );
elif c == ord('s'):
print("Simple floodfill mode is set");
ffill_case = 0;
elif c == ord('f'):
print("Fixed Range floodfill mode is set");
ffill_case = 1;
elif c == ord('g'):
print("Gradient (floating range) floodfill mode is set");
ffill_case = 2;
elif c == ord('4'):
print("4-connectivity mode is set");
connectivity = 4;
elif c == ord('8'):
print("8-connectivity mode is set");
connectivity = 8;
cv.DestroyAllWindows()