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video_classification.proto
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video_classification.proto
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// Copyright 2021 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
//
// http://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.
syntax = "proto3";
package google.cloud.aiplatform.v1beta1.schema.predict.params;
import "google/api/annotations.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1/schema/predict/params;params";
option java_multiple_files = true;
option java_outer_classname = "VideoClassificationPredictionParamsProto";
option java_package = "com.google.cloud.aiplatform.v1beta1.schema.predict.params";
// Prediction model parameters for Video Classification.
message VideoClassificationPredictionParams {
// The Model only returns predictions with at least this confidence score.
// Default value is 0.0
float confidence_threshold = 1;
// 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.
int32 max_predictions = 2;
// 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
bool segment_classification = 3;
// 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
bool shot_classification = 4;
// 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
bool one_sec_interval_classification = 5;
}