def convolute(self, kernel, scale=None, offset=0):
"""A (3,3) or (5,5) convolution kernel.
The kernel argument is a list with either 9 or 25 elements,
the weight for each surrounding pixels to convolute.
"""
if len(kernel) == 9: size = (3, 3)
elif len(kernel) == 25: size = (5, 5)
else: return
if scale == None:
scale = 0
for x in kernel:
scale += x
if scale == 0: scale = 1
f = ImageFilter.BuiltinFilter()
f.filterargs = size, scale, offset, kernel
self.layer.img = self.layer.img.filter(f)
def test_builtinfilter_p(self):
builtinFilter = ImageFilter.BuiltinFilter()
self.assertRaises(ValueError, builtinFilter.filter, hopper("P"))
def test_builtinfilter_p():
builtin_filter = ImageFilter.BuiltinFilter()
with pytest.raises(ValueError):
builtin_filter.filter(hopper("P"))
