Class: Google::Cloud::VisionAI::V1::Processor

Inherits:

Object

• Object
• Google::Cloud::VisionAI::V1::Processor

Extended by:

Protobuf::MessageExts::ClassMethods

Includes:

Protobuf::MessageExts

Defined in:

proto_docs/google/cloud/visionai/v1/platform.rb

Overview

Message describing Processor object. Next ID: 19

Defined Under Namespace

Modules: ProcessorState, ProcessorType Classes: LabelsEntry

Instance Attribute Summary

• #configuration_typeurl ⇒ ::String readonly

  Output only.

• #create_time ⇒ ::Google::Protobuf::Timestamp readonly

  Output only.

• #custom_processor_source_info ⇒ ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo

  Source info for customer created processor.

• #description ⇒ ::String

  Illustrative sentences for describing the functionality of the processor.

• #display_name ⇒ ::String

  Required.

• #labels ⇒ ::Google::Protobuf::Map{::String => ::String}

  Labels as key value pairs.

• #model_type ⇒ ::Google::Cloud::VisionAI::V1::ModelType

  Model Type.

• #name ⇒ ::String

  Name of resource.

• #processor_io_spec ⇒ ::Google::Cloud::VisionAI::V1::ProcessorIOSpec readonly

  Output only.

• #processor_type ⇒ ::Google::Cloud::VisionAI::V1::Processor::ProcessorType readonly

  Output only.

• #state ⇒ ::Google::Cloud::VisionAI::V1::Processor::ProcessorState readonly

  Output only.

• #supported_annotation_types ⇒ ::Array<::Google::Cloud::VisionAI::V1::StreamAnnotationType> readonly
• #supported_instance_types ⇒ ::Array<::Google::Cloud::VisionAI::V1::Instance::InstanceType>

  Which instance types this processor supports; if empty, this default to STREAMING_PREDICTION.

• #supports_post_processing ⇒ ::Boolean

  Indicates if the processor supports post processing.

• #update_time ⇒ ::Google::Protobuf::Timestamp readonly

  Output only.

Instance Attribute Details

#configuration_typeurl ⇒ ::String (readonly)

Returns Output only. The corresponding configuration can be used in the Application to customize the behavior of the processor.

Returns:

• (::String) —

  Output only. The corresponding configuration can be used in the Application to customize the behavior of the processor.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#create_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. [Output only] Create timestamp.

Returns:

• (::Google::Protobuf::Timestamp) —

  Output only. [Output only] Create timestamp.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#custom_processor_source_info ⇒ ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo

Returns Source info for customer created processor.

Returns:

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo) —

  Source info for customer created processor.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#description ⇒ ::String

Returns Illustrative sentences for describing the functionality of the processor.

Returns:

• (::String) —

  Illustrative sentences for describing the functionality of the processor.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#display_name ⇒ ::String

Returns Required. A user friendly display name for the processor.

Returns:

• (::String) —

  Required. A user friendly display name for the processor.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#labels ⇒ ::Google::Protobuf::Map{::String => ::String}

Returns Labels as key value pairs.

Returns:

• (::Google::Protobuf::Map{::String => ::String}) —

  Labels as key value pairs.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#model_type ⇒ ::Google::Cloud::VisionAI::V1::ModelType

Returns Model Type.

Returns:

• (::Google::Cloud::VisionAI::V1::ModelType) —

  Model Type.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#name ⇒ ::String

Returns name of resource.

Returns:

• (::String) —

  name of resource.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#processor_io_spec ⇒ ::Google::Cloud::VisionAI::V1::ProcessorIOSpec (readonly)

Returns Output only. [Output only] The input / output specifications of a processor, each type of processor has fixed input / output specs which cannot be altered by customer.

Returns:

• (::Google::Cloud::VisionAI::V1::ProcessorIOSpec) —

  Output only. [Output only] The input / output specifications of a processor, each type of processor has fixed input / output specs which cannot be altered by customer.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#processor_type ⇒ ::Google::Cloud::VisionAI::V1::Processor::ProcessorType (readonly)

Returns Output only. Processor Type.

Returns:

• (::Google::Cloud::VisionAI::V1::Processor::ProcessorType) —

  Output only. Processor Type.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#state ⇒ ::Google::Cloud::VisionAI::V1::Processor::ProcessorState (readonly)

Returns Output only. State of the Processor.

Returns:

• (::Google::Cloud::VisionAI::V1::Processor::ProcessorState) —

  Output only. State of the Processor.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#supported_annotation_types ⇒ ::Array<::Google::Cloud::VisionAI::V1::StreamAnnotationType> (readonly)

Returns:

• (::Array<::Google::Cloud::VisionAI::V1::StreamAnnotationType>)

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#supported_instance_types ⇒ ::Array<::Google::Cloud::VisionAI::V1::Instance::InstanceType>

Returns Which instance types this processor supports; if empty, this default to STREAMING_PREDICTION.

Returns:

• (::Array<::Google::Cloud::VisionAI::V1::Instance::InstanceType>) —

  Which instance types this processor supports; if empty, this default to STREAMING_PREDICTION.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#supports_post_processing ⇒ ::Boolean

Returns Indicates if the processor supports post processing.

Returns:

• (::Boolean) —

  Indicates if the processor supports post processing.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end

#update_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. [Output only] Update timestamp.

Returns:

• (::Google::Protobuf::Timestamp) —

  Output only. [Output only] Update timestamp.

# File 'proto_docs/google/cloud/visionai/v1/platform.rb', line 1312

class Processor
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class LabelsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Type
  module ProcessorType
    # Processor Type UNSPECIFIED.
    PROCESSOR_TYPE_UNSPECIFIED = 0

    # Processor Type PRETRAINED.
    # Pretrained processor is developed by Vision AI App Platform with
    # state-of-the-art vision data processing functionality, like occupancy
    # counting or person blur. Pretrained processor is usually publicly
    # available.
    PRETRAINED = 1

    # Processor Type CUSTOM.
    # Custom processors are specialized processors which are either uploaded by
    # customers or imported from other GCP platform (for example Vertex AI).
    # Custom processor is only visible to the creator.
    CUSTOM = 2

    # Processor Type CONNECTOR.
    # Connector processors are special processors which perform I/O for the
    # application, they do not processing the data but either deliver the data
    # to other processors or receive data from other processors.
    CONNECTOR = 3
  end

  module ProcessorState
    # Unspecified Processor state.
    PROCESSOR_STATE_UNSPECIFIED = 0

    # Processor is being created (not ready for use).
    CREATING = 1

    # Processor is and ready for use.
    ACTIVE = 2

    # Processor is being deleted (not ready for use).
    DELETING = 3

    # Processor deleted or creation failed .
    FAILED = 4
  end
end