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Open Source Computer Vision Library
https://opencv.org/
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135 lines
4.2 KiB
135 lines
4.2 KiB
#! /usr/bin/env python |
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print "OpenCV Python version of contours" |
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# import the necessary things for OpenCV |
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import cv |
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# some default constants |
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_SIZE = 500 |
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_DEFAULT_LEVEL = 3 |
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# definition of some colors |
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_red = (0, 0, 255, 0); |
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_green = (0, 255, 0, 0); |
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_white = cv.RealScalar (255) |
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_black = cv.RealScalar (0) |
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# the callback on the trackbar, to set the level of contours we want |
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# to display |
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def on_trackbar (position): |
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# create the image for putting in it the founded contours |
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contours_image = cv.CreateImage ( (_SIZE, _SIZE), 8, 3) |
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# compute the real level of display, given the current position |
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levels = position - 3 |
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# initialisation |
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_contours = contours |
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if levels <= 0: |
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# zero or negative value |
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# => get to the nearest face to make it look more funny |
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_contours = contours.h_next().h_next().h_next() |
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# first, clear the image where we will draw contours |
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cv.SetZero (contours_image) |
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# draw contours in red and green |
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cv.DrawContours (contours_image, _contours, |
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_red, _green, |
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levels, 3, cv.CV_AA, |
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(0, 0)) |
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# finally, show the image |
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cv.ShowImage ("contours", contours_image) |
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if __name__ == '__main__': |
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# create the image where we want to display results |
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image = cv.CreateImage ( (_SIZE, _SIZE), 8, 1) |
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# start with an empty image |
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cv.SetZero (image) |
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# draw the original picture |
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for i in range (6): |
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dx = (i % 2) * 250 - 30 |
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dy = (i / 2) * 150 |
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cv.Ellipse (image, |
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(dx + 150, dy + 100), |
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(100, 70), |
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0, 0, 360, _white, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 115, dy + 70), |
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(30, 20), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 185, dy + 70), |
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(30, 20), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 115, dy + 70), |
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(15, 15), |
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0, 0, 360, _white, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 185, dy + 70), |
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(15, 15), |
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0, 0, 360, _white, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 115, dy + 70), |
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(5, 5), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 185, dy + 70), |
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(5, 5), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 150, dy + 100), |
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(10, 5), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 150, dy + 150), |
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(40, 10), |
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0, 0, 360, _black, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 27, dy + 100), |
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(20, 35), |
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0, 0, 360, _white, -1, 8, 0) |
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cv.Ellipse (image, |
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(dx + 273, dy + 100), |
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(20, 35), |
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0, 0, 360, _white, -1, 8, 0) |
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# create window and display the original picture in it |
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cv.NamedWindow ("image", 1) |
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cv.ShowImage ("image", image) |
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# create the storage area |
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storage = cv.CreateMemStorage (0) |
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# find the contours |
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contours = cv.FindContours(image, |
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storage, |
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cv.CV_RETR_TREE, |
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cv.CV_CHAIN_APPROX_SIMPLE, |
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(0,0)) |
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# comment this out if you do not want approximation |
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contours = cv.ApproxPoly (contours, |
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storage, |
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cv.CV_POLY_APPROX_DP, 3, 1) |
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# create the window for the contours |
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cv.NamedWindow ("contours", 1) |
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# create the trackbar, to enable the change of the displayed level |
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cv.CreateTrackbar ("levels+3", "contours", 3, 7, on_trackbar) |
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# call one time the callback, so we will have the 1st display done |
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on_trackbar (_DEFAULT_LEVEL) |
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# wait a key pressed to end |
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cv.WaitKey (0)
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