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