# frozen_string_literal: true # Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Auto-generated by gapic-generator-ruby. DO NOT EDIT! module Google module Cloud module AIPlatform module V1 module Schema module Predict module Params # Prediction model parameters for Video Classification. # @!attribute [rw] confidence_threshold # @return [::Float] # The Model only returns predictions with at least this confidence score. # Default value is 0.0 # @!attribute [rw] max_predictions # @return [::Integer] # The Model only returns up to that many top, by confidence score, # predictions per instance. If this number is very high, the Model may return # fewer predictions. Default value is 10,000. # @!attribute [rw] segment_classification # @return [::Boolean] # Set to true to request segment-level classification. Vertex AI returns # labels and their confidence scores for the entire time segment of the # video that user specified in the input instance. # Default value is true # @!attribute [rw] shot_classification # @return [::Boolean] # Set to true to request shot-level classification. Vertex AI determines # the boundaries for each camera shot in the entire time segment of the # video that user specified in the input instance. Vertex AI then # returns labels and their confidence scores for each detected shot, along # with the start and end time of the shot. # WARNING: Model evaluation is not done for this classification type, # the quality of it depends on the training data, but there are no metrics # provided to describe that quality. # Default value is false # @!attribute [rw] one_sec_interval_classification # @return [::Boolean] # Set to true to request classification for a video at one-second intervals. # Vertex AI returns labels and their confidence scores for each second of # the entire time segment of the video that user specified in the input # WARNING: Model evaluation is not done for this classification type, the # quality of it depends on the training data, but there are no metrics # provided to describe that quality. Default value is false class VideoClassificationPredictionParams include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end end end end end end