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PROTO library for proto-google-cloud-automl-v1beta1
/*
* Copyright 2024 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.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/detection.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
public interface VideoObjectTrackingEvaluationMetricsOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* Output only. The number of video frames used to create this evaluation.
*
*
* int32 evaluated_frame_count = 1;
*
* @return The evaluatedFrameCount.
*/
int getEvaluatedFrameCount();
/**
*
*
*
* Output only. The total number of bounding boxes (i.e. summed over all
* frames) the ground truth used to create this evaluation had.
*
*
* int32 evaluated_bounding_box_count = 2;
*
* @return The evaluatedBoundingBoxCount.
*/
int getEvaluatedBoundingBoxCount();
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
*
*/
java.util.List
getBoundingBoxMetricsEntriesList();
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
*
*/
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index);
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
*
*/
int getBoundingBoxMetricsEntriesCount();
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
*
*/
java.util.List extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder>
getBoundingBoxMetricsEntriesOrBuilderList();
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
*
*/
com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder
getBoundingBoxMetricsEntriesOrBuilder(int index);
/**
*
*
*
* Output only. The single metric for bounding boxes evaluation:
* the mean_average_precision averaged over all bounding_box_metrics_entries.
*
*
* float bounding_box_mean_average_precision = 6;
*
* @return The boundingBoxMeanAveragePrecision.
*/
float getBoundingBoxMeanAveragePrecision();
}