d381fb0787395076ecb8a3bd6984f52a16793fae,dataset/batch_image.py,ImagesBatch,_invert_,#ImagesBatch#Any#Any#,587

Before Change

        self
        

        image = image.copy()
        if channels == "all":
            channels = list(range(image.shape[-1]))
        max_intencity = 255 if np.issubdtype(image.dtype, np.integer) else 1.
        image[..., channels] = max_intencity - image[..., channels]
        return image

After Change

        if channels == "all":
            image = PIL.ImageChops.invert(image)
        else:
            bands = list(image.split())
            channels = (channels,) if isinstance(channels, Number) else channels
            for channel in channels:
                bands[channel] = PIL.ImageChops.invert(bands[channel])
            image = PIL.Image.merge("RGB", bands)
        return image

    def _salt_(self, image, p_noise=.015, color=255, size=(1, 1)):

Instances