docstr: source_image (str): path to image<br/>
  driving_video (str) : path to driving_video<br/>
  ratio: margin ratio
  image_size: size of image
  output_dir: the dir to save the results
  filename: filename to save the results
  use_gpu: if True, use gpu to perform the computation, otherwise cpu.
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code: def generate(
      self,
      source_image=None,
      driving_video=None,
      ratio=0.4,
      image_size=256,
      output_dir="./motion_driving_result/",
      filename="result.mp4",
      use_gpu=False,
  ):
      """
      source_image (str): path to image<br/>
      driving_video (str) : path to driving_video<br/>
      ratio: margin ratio
      image_size: size of image
      output_dir: the dir to save the results
      filename: filename to save the results
      use_gpu: if True, use gpu to perform the computation, otherwise cpu.
      """
      paddle.disable_static()
      place = "gpu:0" if use_gpu else "cpu"
      place = paddle.set_device(place)
      if source_image == None or driving_video == None:
          print(
              "No image or driving video provided. Please input an image and a driving video."
          )
          return
      self.network.run(
          source_image,
          driving_video,
          ratio,
          image_size,
          output_dir,
          filename,
      )
  
file_path: PaddleHub/modules/image/Image_gan/gan/first_order_motion/module.py
imports: import os
  import argparse
  import copy
  import paddle
  import paddlehub
  from paddlehub.module.module import moduleinfo, runnable, serving
  import numpy
  import cv2
  from skimage.io import imread
  from skimage.transform import rescale, resize
  from .model import FirstOrderPredictor
label_desc: Use image node_id 2 for calling the FirstOrderMotion obj's underlying member method code with example usage: obj.generate(source_image, driving_video, ratio, image_size, output_dir, filename, use_gpu) without return types