def bbox(img):
"""
min1,max1,min2,max2 = bbox(img)
Calculate the bounding box of image img.
Parameters
----------
img : Any image type
Returns
-------
min1,max1,min2,max2 : These are such that img[min1:max1, min2:max2]
contains all non-zero pixels
"""
if not img.shape:
return np.array([], dtype=np.intp)
if len(img.shape) == 2:
return _bbox.bbox(img)
raise NotImplementedError, 'mahotas.bbox for images of more than 2 dimensions'
def bbox(img):
"""
min1,max1,min2,max2 = bbox(img)
Calculate the bounding box of image img.
Parameters
----------
img : Any image type
Returns
-------
min1,max1,min2,max2 : These are such that img[min1:max1, min2:max2]
contains all non-zero pixels
"""
_verify_is_integer_type(img, 'mahotas.bbox')
if not img.shape:
return np.array([], dtype=np.intp)
return _bbox.bbox(img)
def bbox(img):
"""
min1,max1,min2,max2 = bbox(img)
Calculate the bounding box of image img.
Parameters
----------
img : ndarray
Any integer image type
Returns
-------
min1,max1,min2,max2 : int,int,int,int
These are such that ``img[min1:max1, min2:max2]`` contains all non-zero
pixels
"""
if not img.shape:
return np.array([], dtype=np.intp)
return _bbox.bbox(img)
def bbox(img):
"""
min1,max1,min2,max2 = bbox(img)
Calculate the bounding box of image img.
Parameters
----------
img : ndarray
Any integer image type
Returns
-------
min1,max1,min2,max2 : int,int,int,int
These are such that ``img[min1:max1, min2:max2]`` contains all non-zero
pixels
"""
if not img.shape:
return np.array([], dtype=np.intp)
return _bbox.bbox(img)