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Drawing shapes on an image

Hello, I am trying to run the meanshift code from the opencv tutorial, except I am capturing my video from the webcam. When I try to draw a rectangle on the image however, I get the following error:

error: (-215) size.width>0 && size.height>0

Which is strange because I know that the height and width are positive. Any suggestions? Here is the code incase anyone needs it. Thanks in advance!

import numpy as np import cv2

cap = cv2.VideoCapture(0)

take first frame of the video

ret,frame = cap.read() print "HI" print frame

setup initial location of window

r,h,c,w = 250,90,400,125 # simply hardcoded the values track_window = (c,r,w,h)

set up the ROI for tracking

roi = frame[r:r+h, c:c+w] print roi hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV) 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]) cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

Setup the termination criteria, either 10 iteration or move by atleast 1 pt

term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )

while(1): ret ,frame = cap.read() print frame

if ret == True:
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)

    # apply meanshift to get the new location
    ret, track_window = cv2.meanShift(dst, track_window, term_crit)

    # Draw it on image
    x,y,w,h = track_window
    img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
    cv2.imshow('img2',img2)
    img2 = cv2.circle(frame, (200,200),50, 255,2)

    k = cv2.waitKey(60) & 0xff
    if k == 27:
        break
    else:
        cv2.imwrite(chr(k)+".jpg",img2)

else:
    break

cv2.destroyAllWindows() cap.release()

click to hide/show revision 2
retagged

updated 2014-04-21 14:14:25 -0600

berak gravatar image

Drawing shapes on an image

Hello, I am trying to run the meanshift code from the opencv tutorial, except I am capturing my video from the webcam. When I try to draw a rectangle on the image however, I get the following error:

error: (-215) size.width>0 && size.height>0

Which is strange because I know that the height and width are positive. Any suggestions? Here is the code incase anyone needs it. Thanks in advance!

import numpy as np import cv2

cap = cv2.VideoCapture(0)

take first frame of the video

ret,frame = cap.read() print "HI" print frame

setup initial location of window

r,h,c,w = 250,90,400,125 # simply hardcoded the values track_window = (c,r,w,h)

set up the ROI for tracking

roi = frame[r:r+h, c:c+w] print roi hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV) 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]) cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

Setup the termination criteria, either 10 iteration or move by atleast 1 pt

term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )

while(1): ret ,frame = cap.read() print frame

if ret == True:
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)

    # apply meanshift to get the new location
    ret, track_window = cv2.meanShift(dst, track_window, term_crit)

    # Draw it on image
    x,y,w,h = track_window
    img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
    cv2.imshow('img2',img2)
    img2 = cv2.circle(frame, (200,200),50, 255,2)

    k = cv2.waitKey(60) & 0xff
    if k == 27:
        break
    else:
        cv2.imwrite(chr(k)+".jpg",img2)

else:
    break

cv2.destroyAllWindows() cap.release()

click to hide/show revision 3
No.3 Revision

updated 2014-04-21 14:15:28 -0600

berak gravatar image

Drawing shapes on an image

Hello, I am trying to run the meanshift code from the opencv tutorial, except I am capturing my video from the webcam. When I try to draw a rectangle on the image however, I get the following error:

error: (-215) size.width>0 && size.height>0

Which is strange because I know that the height and width are positive. Any suggestions? Here is the code incase anyone needs it. Thanks in advance!

import numpy as np
import cv2

cv2 cap = cv2.VideoCapture(0)

cv2.VideoCapture(0) # take first frame of the video

video ret,frame = cap.read() print "HI" print frame

frame # setup initial location of window

window r,h,c,w = 250,90,400,125 # simply hardcoded the values track_window = (c,r,w,h)

(c,r,w,h) # set up the ROI for tracking

tracking roi = frame[r:r+h, c:c+w] print roi hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV) 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]) cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX)

cv2.normalize(roi_hist,roi_hist,0,255,cv2.NORM_MINMAX) # Setup the termination criteria, either 10 iteration or move by atleast 1 pt

pt term_crit = ( cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 1 )

) while(1): ret ,frame = cap.read() print frame

frame

    if ret == True:
     hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
     dst = cv2.calcBackProject([hsv],[0],roi_hist,[0,180],1)

     # apply meanshift to get the new location
     ret, track_window = cv2.meanShift(dst, track_window, term_crit)

     # Draw it on image
     x,y,w,h = track_window
     img2 = cv2.rectangle(frame, (x,y), (x+w,y+h), 255,2)
     cv2.imshow('img2',img2)
     img2 = cv2.circle(frame, (200,200),50, 255,2)

     k = cv2.waitKey(60) & 0xff
     if k == 27:
         break
     else:
         cv2.imwrite(chr(k)+".jpg",img2)

 else:
     break

cv2.destroyAllWindows()
cap.release()

cv2.destroyAllWindows() cap.release()