Vision AI V1 API - Class Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo (v0.4.0)

Version latest

• 0.4.0 (latest)
• 0.3.0
• 0.2.0
• 0.1.0

Reference documentation and code samples for the Vision AI V1 API class Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo.

Describes the source info for a custom processor.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#additional_info

def additional_info() -> ::Google::Protobuf::Map{::String => ::String}

Returns

• (::Google::Protobuf::Map{::String => ::String}) — Output only. Additional info related to the imported custom processor. Data is filled in by app platform during the processor creation.

#model_schema

def model_schema() -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ModelSchema

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ModelSchema) — Model schema files which specifies the signature of the model. For VERTEX_CUSTOM models, instances schema is required. If instances schema is not specified during the processor creation, VisionAI Platform will try to get it from Vertex, if it doesn't exist, the creation will fail.

#model_schema=

def model_schema=(value) -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ModelSchema

Parameter

• value (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ModelSchema) — Model schema files which specifies the signature of the model. For VERTEX_CUSTOM models, instances schema is required. If instances schema is not specified during the processor creation, VisionAI Platform will try to get it from Vertex, if it doesn't exist, the creation will fail.

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ModelSchema) — Model schema files which specifies the signature of the model. For VERTEX_CUSTOM models, instances schema is required. If instances schema is not specified during the processor creation, VisionAI Platform will try to get it from Vertex, if it doesn't exist, the creation will fail.

#product_recognizer_artifact

def product_recognizer_artifact() -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ProductRecognizerArtifact

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ProductRecognizerArtifact) — Artifact for product recognizer.

  Note: The following fields are mutually exclusive: product_recognizer_artifact, vertex_model. If a field in that set is populated, all other fields in the set will automatically be cleared.

#product_recognizer_artifact=

def product_recognizer_artifact=(value) -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ProductRecognizerArtifact

Parameter

• value (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ProductRecognizerArtifact) — Artifact for product recognizer.

  Note: The following fields are mutually exclusive: product_recognizer_artifact, vertex_model. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::ProductRecognizerArtifact) — Artifact for product recognizer.

  Note: The following fields are mutually exclusive: product_recognizer_artifact, vertex_model. If a field in that set is populated, all other fields in the set will automatically be cleared.

#source_type

def source_type() -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::SourceType

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::SourceType) — The original product which holds the custom processor's functionality.

#source_type=

def source_type=(value) -> ::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::SourceType

Parameter

• value (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::SourceType) — The original product which holds the custom processor's functionality.

Returns

• (::Google::Cloud::VisionAI::V1::CustomProcessorSourceInfo::SourceType) — The original product which holds the custom processor's functionality.

#vertex_model

def vertex_model() -> ::String

Returns

• (::String) — The resource name original model hosted in the vertex AI platform.

  Note: The following fields are mutually exclusive: vertex_model, product_recognizer_artifact. If a field in that set is populated, all other fields in the set will automatically be cleared.

#vertex_model=

def vertex_model=(value) -> ::String

Parameter

• value (::String) — The resource name original model hosted in the vertex AI platform.

  Note: The following fields are mutually exclusive: vertex_model, product_recognizer_artifact. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns

• (::String) — The resource name original model hosted in the vertex AI platform.

  Note: The following fields are mutually exclusive: vertex_model, product_recognizer_artifact. If a field in that set is populated, all other fields in the set will automatically be cleared.