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Open Source Computer Vision Library
https://opencv.org/
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48 lines
1.3 KiB
48 lines
1.3 KiB
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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