print(type(superpixels)) # <type 'numpy.ndarray'>
print(superpixels.shape) # (1080, 1920)
print(type(accepted)) # <type 'list'>
print(len(accepted)) # 30676

mask = numpy.zeros(image.shape[:2], dtype = "uint8")
mask[numpy.in1d(superpixels, accepted).reshape(mask.shape)] = 255

print(type(mask)) # <type 'numpy.ndarray'>
print(mask.shape) # (1080, 1920)

mask = (255*(numpy.any(superpixels[...,None] == numpy.asarray(accepted)[None,None,:], axis=2).astype(numpy.uint8))) # ValueError: 'axis' entry is out of bounds

print(type(mask))
print(mask.shape)