Method applyToPIL

utils/motionblur.py:345–383

[summary] Applies the kernel to an PIL.Image instance [description] converts to RGB and applies the kernel to each band before recombining them. Arguments: image {Image} -- Image to convolve keep_image_dim {b

(image: Image, keep_image_dim: bool = False)

        self._createKernel()

        def applyToPIL(image: Image, keep_image_dim: bool = False) -> Image:
            """[summary]
            Applies the kernel to an PIL.Image instance
            [description]
            converts to RGB and applies the kernel to each
            band before recombining them.
            Arguments:
                image {Image} -- Image to convolve
                keep_image_dim {bool} -- If true, then we will
                    conserve the image dimension after blurring
                    by using "same" convolution instead of "valid"
                    convolution inside the scipy convolve function.

            Returns:
                Image -- blurred image
            """
            # convert to RGB
            image = image.convert(mode="RGB")

            conv_mode = "valid"
            if keep_image_dim:
                conv_mode = "same"

            result_bands = ()

            for band in image.split():

                # convolve each band individually with kernel
                result_band = convolve(
                    band, self.kernelMatrix, mode=conv_mode).astype("uint8")

                # collect bands
                result_bands += result_band,

            # stack bands back together
            result = np.dstack(result_bands)

            # Get image
            return Image.fromarray(result)

        # If image is Path
        if isinstance(image, str) or isinstance(image, Path):