fe4e8ad9ba8e1e9d44b972802a97d62997dddbf3,imgaug/augmenters/size.py,CropAndPad,__init__,#CropAndPad#Any#Any#Any#Any#Any#Any#Any#Any#Any#,503

Before Change

            raise Exception("Expected pad_mode to be ia.ALL or string or list of strings or StochasticParameter, got %s." % (type(pad_mode),))

        if ia.is_single_number(pad_cval):
            self.pad_cval = Deterministic(pad_cval)
        elif isinstance(pad_cval, tuple):
            ia.do_assert(len(pad_cval) == 2)
            if ia.is_single_float(pad_cval[0]) or ia.is_single_float(pad_cval[1]):
                self.pad_cval = Uniform(pad_cval[0], pad_cval[1])
            else:
                self.pad_cval = DiscreteUniform(pad_cval[0], pad_cval[1])
        elif isinstance(pad_cval, list):
            ia.do_assert(all([ia.is_single_number(v) for v in pad_cval]))
            self.pad_cval = Choice(pad_cval)
        elif isinstance(pad_cval, StochasticParameter):
            self.pad_cval = pad_cval
        else:
            raise Exception("Expected pad_cval to be int or float or tuple of two ints/floats or list of ints/floats or StochasticParameter, got %s." % (type(pad_cval),))

        self.keep_size = keep_size
        self.sample_independently = sample_independently

After Change

        else:
            raise Exception("Expected pad_mode to be ia.ALL or string or list of strings or StochasticParameter, got %s." % (type(pad_mode),))

        self.pad_cval = iap.handle_discrete_param(pad_cval, "pad_cval", value_range=(0, 255), tuple_to_uniform=True, list_to_choice=True, allow_floats=True)

        self.keep_size = keep_size
        self.sample_independently = sample_independently

Instances