61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
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#!/usr/bin/env python
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'''
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A program demonstrating the use and capabilities of a particular image segmentation algorithm described
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in Jasper R. R. Uijlings, Koen E. A. van de Sande, Theo Gevers, Arnold W. M. Smeulders:
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"Selective Search for Object Recognition"
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International Journal of Computer Vision, Volume 104 (2), page 154-171, 2013
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Usage:
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./selectivesearchsegmentation_demo.py input_image (single|fast|quality)
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Use "a" to display less rects, 'd' to display more rects, "q" to quit.
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'''
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import cv2 as cv
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import sys
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if __name__ == '__main__':
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img = cv.imread(sys.argv[1])
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cv.setUseOptimized(True)
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cv.setNumThreads(8)
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gs = cv.ximgproc.segmentation.createSelectiveSearchSegmentation()
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gs.setBaseImage(img)
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if (sys.argv[2][0] == 's'):
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gs.switchToSingleStrategy()
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elif (sys.argv[2][0] == 'f'):
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gs.switchToSelectiveSearchFast()
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elif (sys.argv[2][0] == 'q'):
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gs.switchToSelectiveSearchQuality()
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else:
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print(__doc__)
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sys.exit(1)
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rects = gs.process()
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nb_rects = 10
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while True:
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wimg = img.copy()
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for i in range(len(rects)):
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if (i < nb_rects):
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x, y, w, h = rects[i]
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cv.rectangle(wimg, (x, y), (x+w, y+h), (0, 255, 0), 1, cv.LINE_AA)
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cv.imshow("Output", wimg);
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c = cv.waitKey()
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if (c == 100):
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nb_rects += 10
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elif (c == 97 and nb_rects > 10):
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nb_rects -= 10
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elif (c == 113):
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break
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cv.destroyAllWindows()
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