Method _createKernel

utils/motionblur.py:233–274

[summary] Finds a kernel (psf) of given intensity. [description] use displayKernel to actually see the kernel. Keyword Arguments: save_to {Path} -- Image file to save the kernel to. {None} show {bool} -- shows kernel if true

(self, save_to: Path=None, show: bool=False)

        self.path = [(i.real, i.imag) for i in self.path_complex]

    def _createKernel(self, save_to: Path=None, show: bool=False):
        """[summary]
        Finds a kernel (psf) of given intensity.
        [description]
        use displayKernel to actually see the kernel.

        Keyword Arguments:
            save_to {Path} -- Image file to save the kernel to. {None}
            show {bool} -- shows kernel if true
        """

        # check if we haven't already generated a kernel
        if self.kernel_is_generated:
            return None

        # get the path
        self._createPath()

        # Initialise an image with super-sized dimensions
        # (pillow Image object)
        self.kernel_image = Image.new("RGB", self.SIZEx2)

        # ImageDraw instance that is linked to the kernel image that
        # we can use to draw on our kernel_image
        self.painter = ImageDraw.Draw(self.kernel_image)

        # draw the path
        self.painter.line(xy=self.path, width=int(self.DIAGONAL / 150))

        # applying gaussian blur for realism
        self.kernel_image = self.kernel_image.filter(
            ImageFilter.GaussianBlur(radius=int(self.DIAGONAL * 0.01)))

        # Resize to actual size
        self.kernel_image = self.kernel_image.resize(
            self.SIZE, resample=Image.LANCZOS)

        # convert to gray scale
        self.kernel_image = self.kernel_image.convert("L")

        # flag that we have generated a kernel
        self.kernel_is_generated = True

    def displayKernel(self, save_to: Path=None, show: bool=True):
        """[summary]