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edited sample code for mean/cam sihft and fixed an error

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This commit is contained in:
yash 2014-03-18 08:44:33 +05:30
parent 3542da7167
commit b9cdde6991
1 changed files with 2 additions and 2 deletions
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doc/py_tutorials/py_video/py_meanshift/py_meanshift.rst
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@ -52,7 +52,7 @@ To use meanshift in OpenCV, first we need to setup the target, find its histogra
# set up the ROI for tracking # set up the ROI for tracking
roi = frame[r:r+h, c:c+w] roi = frame[r:r+h, c:c+w]
hsv_roi = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.))) mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.)))
roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180]) roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX) cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)
@ -127,7 +127,7 @@ It is almost same as meanshift, but it returns a rotated rectangle (that is our
# set up the ROI for tracking # set up the ROI for tracking
roi = frame[r:r+h, c:c+w] roi = frame[r:r+h, c:c+w]
hsv_roi = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.))) mask = cv2.inRange(hsv_roi, np.array((0., 60.,32.)), np.array((180.,255.,255.)))
roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180]) roi_hist = cv2.calcHist([hsv_roi],[0],mask,[180],[0,180])
cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX) cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)