mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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68 lines
2.3 KiB
68 lines
2.3 KiB
#!/usr/bin/python |
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import urllib2 |
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import sys |
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import cv |
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class Sketcher: |
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def __init__(self, windowname, dests): |
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self.prev_pt = None |
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self.windowname = windowname |
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self.dests = dests |
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cv.SetMouseCallback(self.windowname, self.on_mouse) |
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def on_mouse(self, event, x, y, flags, param): |
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pt = (x, y) |
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if event == cv.CV_EVENT_LBUTTONUP or not (flags & cv.CV_EVENT_FLAG_LBUTTON): |
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self.prev_pt = None |
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elif event == cv.CV_EVENT_LBUTTONDOWN: |
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self.prev_pt = pt |
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elif event == cv.CV_EVENT_MOUSEMOVE and (flags & cv.CV_EVENT_FLAG_LBUTTON) : |
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if self.prev_pt: |
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for dst in self.dests: |
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cv.Line(dst, self.prev_pt, pt, cv.ScalarAll(255), 5, 8, 0) |
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self.prev_pt = pt |
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cv.ShowImage(self.windowname, img) |
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if __name__=="__main__": |
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if len(sys.argv) > 1: |
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img0 = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR) |
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else: |
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url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg' |
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filedata = urllib2.urlopen(url).read() |
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imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1) |
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cv.SetData(imagefiledata, filedata, len(filedata)) |
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img0 = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR) |
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print "Hot keys:" |
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print "\tESC - quit the program" |
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print "\tr - restore the original image" |
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print "\ti or ENTER - run inpainting algorithm" |
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print "\t\t(before running it, paint something on the image)" |
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cv.NamedWindow("image", 1) |
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cv.NamedWindow("inpainted image", 1) |
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img = cv.CloneImage(img0) |
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inpainted = cv.CloneImage(img0) |
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inpaint_mask = cv.CreateImage(cv.GetSize(img), 8, 1) |
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cv.Zero(inpaint_mask) |
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cv.Zero(inpainted) |
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cv.ShowImage("image", img) |
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cv.ShowImage("inpainted image", inpainted) |
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sk = Sketcher("image", [img, inpaint_mask]) |
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while True: |
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c = cv.WaitKey(0) % 0x100 |
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if c == 27 or c == ord('q'): |
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break |
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if c == ord('r'): |
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cv.Zero(inpaint_mask) |
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cv.Copy(img0, img) |
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cv.ShowImage("image", img) |
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if c == ord('i') or c == ord('\n'): |
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cv.Inpaint(img, inpaint_mask, inpainted, 3, cv.CV_INPAINT_TELEA) |
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cv.ShowImage("inpainted image", inpainted)
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