viam.gen.app.mlinference.v1.ml_inference_pb2
============================================

.. py:module:: viam.gen.app.mlinference.v1.ml_inference_pb2

.. autoapi-nested-parse::

   @generated by mypy-protobuf.  Do not edit manually!
   isort:skip_file



Attributes
----------

.. autoapisummary::

   viam.gen.app.mlinference.v1.ml_inference_pb2.DESCRIPTOR
   viam.gen.app.mlinference.v1.ml_inference_pb2.global___GetInferenceRequest
   viam.gen.app.mlinference.v1.ml_inference_pb2.global___GetInferenceResponse


Classes
-------

.. autoapisummary::

   viam.gen.app.mlinference.v1.ml_inference_pb2.GetInferenceRequest
   viam.gen.app.mlinference.v1.ml_inference_pb2.GetInferenceResponse


Module Contents
---------------

.. py:data:: DESCRIPTOR
   :type:  google.protobuf.descriptor.FileDescriptor

.. py:class:: GetInferenceRequest(*, registry_item_id: str = ..., registry_item_version: str = ..., binary_id: viam.gen.app.data.v1.data_pb2.BinaryID | None = ..., binary_data_id: str = ..., organization_id: str = ...)

   Bases: :py:obj:`google.protobuf.message.Message`


   Abstract base class for protocol messages.

   Protocol message classes are almost always generated by the protocol
   compiler.  These generated types subclass Message and implement the methods
   shown below.


   .. py:attribute:: registry_item_id
      :type:  str

      The model framework and model type are inferred from the ML model registry item;
      For valid model types (classification, detections) we will return the formatted
      labels or annotations from the associated inference outputs.


   .. py:attribute:: registry_item_version
      :type:  str


   .. py:attribute:: binary_data_id
      :type:  str


   .. py:attribute:: organization_id
      :type:  str


   .. py:property:: binary_id
      :type: viam.gen.app.data.v1.data_pb2.BinaryID



   .. py:method:: HasField(field_name: Literal['binary_id', b'binary_id']) -> bool

      Checks if a certain field is set for the message.

      For a oneof group, checks if any field inside is set. Note that if the
      field_name is not defined in the message descriptor, :exc:`ValueError` will
      be raised.

      :param field_name: The name of the field to check for presence.
      :type field_name: str

      :returns: Whether a value has been set for the named field.
      :rtype: bool

      :raises ValueError: if the `field_name` is not a member of this message.



.. py:data:: global___GetInferenceRequest

.. py:class:: GetInferenceResponse(*, output_tensors: viam.gen.service.mlmodel.v1.mlmodel_pb2.FlatTensors | None = ..., annotations: viam.gen.app.data.v1.data_pb2.Annotations | None = ...)

   Bases: :py:obj:`google.protobuf.message.Message`


   Abstract base class for protocol messages.

   Protocol message classes are almost always generated by the protocol
   compiler.  These generated types subclass Message and implement the methods
   shown below.


   .. py:property:: output_tensors
      :type: viam.gen.service.mlmodel.v1.mlmodel_pb2.FlatTensors



   .. py:property:: annotations
      :type: viam.gen.app.data.v1.data_pb2.Annotations



   .. py:method:: HasField(field_name: Literal['annotations', b'annotations', 'output_tensors', b'output_tensors']) -> bool

      Checks if a certain field is set for the message.

      For a oneof group, checks if any field inside is set. Note that if the
      field_name is not defined in the message descriptor, :exc:`ValueError` will
      be raised.

      :param field_name: The name of the field to check for presence.
      :type field_name: str

      :returns: Whether a value has been set for the named field.
      :rtype: bool

      :raises ValueError: if the `field_name` is not a member of this message.



.. py:data:: global___GetInferenceResponse