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Open Source Computer Vision Library
https://opencv.org/
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54 lines
1.6 KiB
54 lines
1.6 KiB
from __future__ import print_function |
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import cv2 as cv |
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import argparse |
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max_value = 255 |
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max_type = 4 |
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max_binary_value = 255 |
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trackbar_type = 'Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted' |
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trackbar_value = 'Value' |
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window_name = 'Threshold Demo' |
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## [Threshold_Demo] |
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def Threshold_Demo(val): |
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#0: Binary |
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#1: Binary Inverted |
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#2: Threshold Truncated |
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#3: Threshold to Zero |
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#4: Threshold to Zero Inverted |
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threshold_type = cv.getTrackbarPos(trackbar_type, window_name) |
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threshold_value = cv.getTrackbarPos(trackbar_value, window_name) |
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_, dst = cv.threshold(src_gray, threshold_value, max_binary_value, threshold_type ) |
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cv.imshow(window_name, dst) |
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## [Threshold_Demo] |
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parser = argparse.ArgumentParser(description='Code for Basic Thresholding Operations tutorial.') |
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parser.add_argument('--input', help='Path to input image.', default='stuff.jpg') |
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args = parser.parse_args() |
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## [load] |
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# Load an image |
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src = cv.imread(cv.samples.findFile(args.input)) |
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if src is None: |
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print('Could not open or find the image: ', args.input) |
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exit(0) |
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# Convert the image to Gray |
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src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY) |
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## [load] |
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## [window] |
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# Create a window to display results |
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cv.namedWindow(window_name) |
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## [window] |
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## [trackbar] |
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# Create Trackbar to choose type of Threshold |
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cv.createTrackbar(trackbar_type, window_name , 3, max_type, Threshold_Demo) |
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# Create Trackbar to choose Threshold value |
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cv.createTrackbar(trackbar_value, window_name , 0, max_value, Threshold_Demo) |
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## [trackbar] |
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# Call the function to initialize |
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Threshold_Demo(0) |
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# Wait until user finishes program |
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cv.waitKey()
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