Class: Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlVideoObjectTrackingInputs
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlVideoObjectTrackingInputs
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.rb
Defined Under Namespace
Modules: ModelType
Instance Attribute Summary collapse
Instance Attribute Details
#model_type ⇒ ::Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlVideoObjectTrackingInputs::ModelType
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# File 'proto_docs/google/cloud/aiplatform/v1/schema/trainingjob/definition/automl_video_object_tracking.rb', line 38 class AutoMlVideoObjectTrackingInputs include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods module ModelType # Should not be set. MODEL_TYPE_UNSPECIFIED = 0 # A model best tailored to be used within Google Cloud, and which c annot # be exported. Default. CLOUD = 1 # A model that, in addition to being available within Google Cloud, can # also be exported (see ModelService.ExportModel) as a TensorFlow or # TensorFlow Lite model and used on a mobile or edge device afterwards. MOBILE_VERSATILE_1 = 2 # A versatile model that is meant to be exported (see # ModelService.ExportModel) and used on a Google Coral device. MOBILE_CORAL_VERSATILE_1 = 3 # A model that trades off quality for low latency, to be exported (see # ModelService.ExportModel) and used on a Google Coral device. MOBILE_CORAL_LOW_LATENCY_1 = 4 # A versatile model that is meant to be exported (see # ModelService.ExportModel) and used on an NVIDIA Jetson device. MOBILE_JETSON_VERSATILE_1 = 5 # A model that trades off quality for low latency, to be exported (see # ModelService.ExportModel) and used on an NVIDIA Jetson device. MOBILE_JETSON_LOW_LATENCY_1 = 6 end end |