def voxspace_to_mmspace(img):
    """ Return a grid with coordinates in 3D physical space for `img`."""
    shape, affine = img.shape[:3], img.affine
    coords = np.array(np.meshgrid(*(range(i) for i in shape), indexing='ij'))
    coords = np.rollaxis(coords, 0, len(shape) + 1)
    mm_coords = nib.affines.apply_affine(affine, coords)

    return mm_coords
def voxspace_to_mmspace(img):
    """ Return a grid with coordinates in 3D physical space for `img`."""
    shape, affine = img.shape[:3], img.affine
    coords = np.array(np.meshgrid(*(range(i) for i in shape), indexing='ij'))
    coords = np.rollaxis(coords, 0, len(shape) + 1)
    mm_coords = nib.affines.apply_affine(affine, coords)

    return mm_coords
def voxspace_to_mmspace ( img ) : shape , affine = img . shape [ : 3 ] , img . affine coords = np . array ( np . meshgrid ( * ( range ( i ) for i in shape ) , indexing = 'ij' ) ) coords = np . rollaxis ( coords , 0 , len ( shape ) + 1 ) mm_coords = nib . affines . apply_affine ( affine , coords ) return mm_coords
Return a grid with coordinates in 3D physical space for `img`.
Return a grid with coordinates in 3D physical space for img .