class_docstr: Depth estimation pipeline using any `AutoModelForDepthEstimation`. This pipeline predicts the depth of an image.
  
  This depth estimation pipeline can currently be loaded from [`pipeline`] using the following task identifier:
  `"depth-estimation"`.
  
  See the list of available models on [huggingface.co/models](https://huggingface.co/models?filter=depth-estimation).
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      requires_backends(self, "vision")
      self.check_model_type(MODEL_FOR_DEPTH_ESTIMATION_MAPPING)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/pipelines/depth_estimation.py
imports: from typing import List, Union
  import numpy
  from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
  from .base import PIPELINE_INIT_ARGS, Pipeline
label_desc: Use image node_id 1 to create a new DepthEstimationPipeline object from inherited base classes: Pipeline with example: obj = DepthEstimationPipeline()