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Open Source Computer Vision Library
https://opencv.org/
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49 lines
1.3 KiB
49 lines
1.3 KiB
7 years ago
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from __future__ import print_function
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from __future__ import division
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import cv2 as cv
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import argparse
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alpha_slider_max = 100
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title_window = 'Linear Blend'
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## [on_trackbar]
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def on_trackbar(val):
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alpha = val / alpha_slider_max
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beta = ( 1.0 - alpha )
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dst = cv.addWeighted(src1, alpha, src2, beta, 0.0)
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cv.imshow(title_window, dst)
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## [on_trackbar]
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parser = argparse.ArgumentParser(description='Code for Adding a Trackbar to our applications tutorial.')
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parser.add_argument('--input1', help='Path to the first input image.', default='../data/LinuxLogo.jpg')
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parser.add_argument('--input2', help='Path to the second input image.', default='../data/WindowsLogo.jpg')
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args = parser.parse_args()
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## [load]
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# Read images ( both have to be of the same size and type )
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src1 = cv.imread(args.input1)
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src2 = cv.imread(args.input2)
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## [load]
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if src1 is None:
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print('Could not open or find the image: ', args.input1)
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exit(0)
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if src2 is None:
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print('Could not open or find the image: ', args.input2)
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exit(0)
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## [window]
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cv.namedWindow(title_window)
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## [window]
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## [create_trackbar]
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trackbar_name = 'Alpha x %d' % alpha_slider_max
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cv.createTrackbar(trackbar_name, title_window , 0, alpha_slider_max, on_trackbar)
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## [create_trackbar]
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# Show some stuff
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on_trackbar(0)
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# Wait until user press some key
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cv.waitKey()
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