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camshift.py description
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@ -1,16 +1,29 @@
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import numpy as np
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import cv2
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import video
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'''
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Camshift tracker
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================
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help_message = '''USAGE: camshift.py [<video source>]
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This is a demo that shows mean-shift based tracking
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You select a color objects such as your face and it tracks it.
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This reads from video camera (0 by default, or the camera number the user enters)
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Select a bright colored object to track.
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http://www.robinhewitt.com/research/track/camshift.html
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Usage:
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------
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camshift.py [<video source>]
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To initialize tracking, select the object with mouse
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Keys:
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-----
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ESC - exit
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b - toggle back-projected probability visualization
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'''
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import numpy as np
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import cv2
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import video
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class App(object):
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def __init__(self, video_src):
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@ -99,6 +112,6 @@ if __name__ == '__main__':
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import sys
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try: video_src = sys.argv[1]
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except: video_src = 0
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print help_message
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print __doc__
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App(video_src).run()
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@ -124,12 +124,12 @@ class App:
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text.tag_add(tag, start, end)
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self.match_text(r'http://\S+', add_link)
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def match_text(self, pattern, tag_proc):
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def match_text(self, pattern, tag_proc, regexp=True):
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text = self.text
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text.mark_set('matchPos', '1.0')
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count = tk.IntVar()
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while True:
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match_index = text.search(pattern, 'matchPos', count=count, regexp=True, stopindex='end')
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match_index = text.search(pattern, 'matchPos', count=count, regexp=regexp, stopindex='end')
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if not match_index: break
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end_index = text.index( "%s+%sc" % (match_index, count.get()) )
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text.mark_set('matchPos', end_index)
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