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"))