code: def __init__(self, *args, **kwargs):
      requires_backends(self, ["vision"])
      super().__init__(*args, **kwargs)
  
file_path: transformers/src/transformers/tools/image_segmentation.py
imports: import numpy
  import torch
  from ..models.clipseg import CLIPSegForImageSegmentation
  from ..utils import is_vision_available, requires_backends
  from .base import PipelineTool
label_desc: Use image node_id 1 to create a new ImageSegmentationTool object from inherited base classes: PipelineTool with example: obj = ImageSegmentationTool()