def METHOD_NAME(self):
    self.image = np.array(
        [
            [0, 1, 0, 0, 0],
            [1, 1, 1, 1, 1],
            [0, 0, 0, 0, 0],
            [0, 0, 0, 0, 0],
            [0, 0, 0, 0, 0],
        ]
    )
    transform_pix2angle = np.array(
        [[1, 0], [0, 1]]
    )  # linear translation matrix of no rotation
    ra_at_xy_0, dec_at_xy_0 = transform_pix2angle.dot([-5 / 2, -5 / 2]).T
    self.kwargs_pixel_rot_imaging = {
        "nx": 5,
        "ny": 5,  # number of pixels per axis
        "ra_at_xy_0": ra_at_xy_0,  # RA at pixel (0,0)
        "dec_at_xy_0": dec_at_xy_0,  # DEC at pixel (0,0)
        "transform_pix2angle": transform_pix2angle,
    }
    self.imaging_inputs = {
        "image": self.image,
        "transform_pix2angle": self.kwargs_pixel_rot_imaging["transform_pix2angle"],
        "ra_at_xy0": self.kwargs_pixel_rot_imaging["ra_at_xy_0"],
        "dec_at_xy0": self.kwargs_pixel_rot_imaging["dec_at_xy_0"],
        "ellipse_PA": 0,
        "offset_x": 0,
        "offset_y": 0,
    }
    self.kinNN_inputs = {"image": self.image, "deltaPix": 1}