class_docstr: Constructs an OWL-ViT processor which wraps [`OwlViTFeatureExtractor`] and [`CLIPTokenizer`]/[`CLIPTokenizerFast`]
  into a single processor that interits both the feature extractor and tokenizer functionalities. See the
  [`~OwlViTProcessor.__call__`] and [`~OwlViTProcessor.decode`] for more information.
  
  Args:
      feature_extractor ([`OwlViTFeatureExtractor`]):
          The feature extractor is a required input.
      tokenizer ([`CLIPTokenizer`, `CLIPTokenizerFast`]):
          The tokenizer is a required input.
docstr: This method forwards all its arguments to [`OwlViTFeatureExtractor.post_process`]. Please refer to the
  docstring of this method for more information.
code: def post_process(self, *args, **kwargs):
      """
      This method forwards all its arguments to [`OwlViTFeatureExtractor.post_process`]. Please refer to the
      docstring of this method for more information.
      """
      return self.feature_extractor.post_process(*args, **kwargs)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/owlvit/processing_owlvit.py
imports: from typing import List
  import numpy
  from transformers import is_flax_available, is_tf_available, is_torch_available
  from ...processing_utils import ProcessorMixin
  from ...tokenization_utils_base import BatchEncoding
label_desc: Use image node_id 3 for calling the OwlViTProcessor obj's underlying member method code with example usage: obj.post_process() and returns: self