class_docstr: A classification category.
  
  Category is a util class, contains a label, its display name, a float
  value as score, and the index of the label in the corresponding label file.
  Typically it's used as the result of classification tasks.
  
  Attributes:
    index: The index of the label in the corresponding label file.
    score: The probability score of this label category.
    display_name: The display name of the label, which may be translated for
      different locales. For example, a label, "apple", may be translated into
      Spanish for display purpose, so that the `display_name` is "manzana".
    category_name: The label of this category object.
docstr: Generates a Category protobuf object.
docstr_tok: ["Generates","a","Category","protobuf","object","."]
code: def to_pb2(self) -> _ClassificationProto:
      """Generates a Category protobuf object."""
      return _ClassificationProto(
          index=self.index,
          score=self.score,
          label=self.category_name,
          display_name=self.display_name,
      )
  
file_path: mediapipe/mediapipe/tasks/python/components/containers/category.py
imports: import dataclasses
  from typing import Any, Optional
  from mediapipe.framework.formats import classification_pb2
  from mediapipe.tasks.python.core.optional_dependencies import doc_controls
label_desc: Use image node_id 1 for calling the Category obj's underlying member method code with example usage: obj.to_pb2() and returns: _ClassificationProto