def hough_circle(image, radius, normalize=True, full_output=False):
 if (type(radius) is list):
  radius = np.array(radius)
 elif (type(radius) is not np.ndarray):
  radius = np.array([radius])
 return _hough_circle(image, radius.astype(np.intp), normalize=normalize, full_output=full_output)

def hough_circle ( image , radius , normalize = True , full_output = False ) : if ( type ( radius ) is list ) : radius = np . array ( radius ) elif ( type ( radius ) is not np . ndarray ) : radius = np . array ( [ radius ] ) return _hough_circle ( image , radius . astype ( np . intp ) , normalize = normalize , full_output = full_output )
perform a circular hough transform .