code: def sepia(input_img, strength):
      sepia_filter = strength * np.array(
          [
              [0.393, 0.769, 0.189],
              [0.349, 0.686, 0.168],
              [0.272, 0.534, 0.131],
          ]
      ) + (1 - strength) * np.identity(3)
      sepia_img = input_img.dot(sepia_filter.T)
      sepia_img /= sepia_img.max()
      return sepia_img
  
label_desc: Use image node_id 1 for calling a global function with example usage: sepia(input_img, strength) and returns: sepia_img