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Open Source Computer Vision Library
https://opencv.org/
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70 lines
2.4 KiB
70 lines
2.4 KiB
#!/usr/bin/env python |
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''' |
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This program illustrates the use of findContours and drawContours. |
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The original image is put up along with the image of drawn contours. |
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Usage: |
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contours.py |
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A trackbar is put up which controls the contour level from -3 to 3 |
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''' |
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# Python 2/3 compatibility |
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from __future__ import print_function |
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import sys |
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PY3 = sys.version_info[0] == 3 |
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if PY3: |
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xrange = range |
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import numpy as np |
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import cv2 as cv |
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def make_image(): |
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img = np.zeros((500, 500), np.uint8) |
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black, white = 0, 255 |
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for i in xrange(6): |
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dx = int((i%2)*250 - 30) |
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dy = int((i/2.)*150) |
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if i == 0: |
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for j in xrange(11): |
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angle = (j+5)*np.pi/21 |
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c, s = np.cos(angle), np.sin(angle) |
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x1, y1 = np.int32([dx+100+j*10-80*c, dy+100-90*s]) |
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x2, y2 = np.int32([dx+100+j*10-30*c, dy+100-30*s]) |
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cv.line(img, (x1, y1), (x2, y2), white) |
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cv.ellipse( img, (dx+150, dy+100), (100,70), 0, 0, 360, white, -1 ) |
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cv.ellipse( img, (dx+115, dy+70), (30,20), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+185, dy+70), (30,20), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+115, dy+70), (15,15), 0, 0, 360, white, -1 ) |
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cv.ellipse( img, (dx+185, dy+70), (15,15), 0, 0, 360, white, -1 ) |
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cv.ellipse( img, (dx+115, dy+70), (5,5), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+185, dy+70), (5,5), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+150, dy+100), (10,5), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+150, dy+150), (40,10), 0, 0, 360, black, -1 ) |
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cv.ellipse( img, (dx+27, dy+100), (20,35), 0, 0, 360, white, -1 ) |
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cv.ellipse( img, (dx+273, dy+100), (20,35), 0, 0, 360, white, -1 ) |
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return img |
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if __name__ == '__main__': |
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print(__doc__) |
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img = make_image() |
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h, w = img.shape[:2] |
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contours0, hierarchy = cv.findContours( img.copy(), cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE) |
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contours = [cv.approxPolyDP(cnt, 3, True) for cnt in contours0] |
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def update(levels): |
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vis = np.zeros((h, w, 3), np.uint8) |
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levels = levels - 3 |
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cv.drawContours( vis, contours, (-1, 2)[levels <= 0], (128,255,255), |
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3, cv.LINE_AA, hierarchy, abs(levels) ) |
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cv.imshow('contours', vis) |
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update(3) |
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cv.createTrackbar( "levels+3", "contours", 3, 7, update ) |
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cv.imshow('image', img) |
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cv.waitKey() |
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cv.destroyAllWindows()
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