code: def __call__(self, instances: Instances) -> BitMasks:
      """
      Converts predicted data from `instances` into the GT mask data
  
      Args:
          instances (Instances): predicted results, expected to have `pred_densepose` field
  
      Returns:
          Boolean Tensor of the size of the input image that has non-zero
          values at pixels that are estimated to belong to the detected object
      """
      return ToMaskConverter.convert(
          instances.pred_densepose,
          instances.pred_boxes,
          instances.image_size,
      )
  
label_desc: Use image node_id 1 for calling the MaskFromDensePoseSampler obj's underlying member method code with example usage: obj.__call__(instances) and returns: ToMaskConverter