removed return images and fixed cv2 names
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@ -119,7 +119,7 @@ Let (x,y) be the top-left coordinate of the rectangle and (w,h) be its width and
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::
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x,y,w,h = cv2.boundingRect(cnt)
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img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
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cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
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7.b. Rotated Rectangle
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-----------------------
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@ -127,9 +127,9 @@ Here, bounding rectangle is drawn with minimum area, so it considers the rotatio
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::
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rect = cv2.minAreaRect(cnt)
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box = cv2.boxPoints(rect)
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box = cv2.cv.BoxPoints(rect)
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box = np.int0(box)
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im = cv2.drawContours(im,[box],0,(0,0,255),2)
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cv2.drawContours(img,[box],0,(0,0,255),2)
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Both the rectangles are shown in a single image. Green rectangle shows the normal bounding rect. Red rectangle is the rotated rect.
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@ -145,7 +145,7 @@ Next we find the circumcircle of an object using the function **cv2.minEnclosing
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(x,y),radius = cv2.minEnclosingCircle(cnt)
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center = (int(x),int(y))
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radius = int(radius)
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img = cv2.circle(img,center,radius,(0,255,0),2)
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cv2.circle(img,center,radius,(0,255,0),2)
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.. image:: images/circumcircle.png
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:alt: Minimum Enclosing Circle
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@ -158,7 +158,7 @@ Next one is to fit an ellipse to an object. It returns the rotated rectangle in
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::
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ellipse = cv2.fitEllipse(cnt)
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im = cv2.ellipse(im,ellipse,(0,255,0),2)
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cv2.ellipse(img,ellipse,(0,255,0),2)
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.. image:: images/fitellipse.png
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:alt: Fitting an Ellipse
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@ -172,10 +172,10 @@ Similarly we can fit a line to a set of points. Below image contains a set of wh
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::
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rows,cols = img.shape[:2]
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[vx,vy,x,y] = cv2.fitLine(cnt, cv2.DIST_L2,0,0.01,0.01)
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[vx,vy,x,y] = cv2.fitLine(cnt, cv2.cv.CV_DIST_L2,0,0.01,0.01)
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lefty = int((-x*vy/vx) + y)
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righty = int(((cols-x)*vy/vx)+y)
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img = cv2.line(img,(cols-1,righty),(0,lefty),(0,255,0),2)
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cv2.line(img,(cols-1,righty),(0,lefty),(0,255,0),2)
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.. image:: images/fitline.jpg
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:alt: Fitting a Line
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