📄 Source: GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics.php
<?php
/*
* Copyright 2014 Google Inc.
*
* 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.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics extends \Google\Collection
{
protected $collection_key = 'trackMetrics';
/**
* The single metric for bounding boxes evaluation: the `meanAveragePrecision`
* averaged over all `boundingBoxMetrics`.
*
* @var float
*/
public $boundingBoxMeanAveragePrecision;
protected $boundingBoxMetricsType = GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics::class;
protected $boundingBoxMetricsDataType = 'array';
/**
* UNIMPLEMENTED. The total number of bounding boxes (i.e. summed over all
* frames) the ground truth used to create this evaluation had.
*
* @var int
*/
public $evaluatedBoundingBoxCount;
/**
* UNIMPLEMENTED. The number of video frames used to create this evaluation.
*
* @var int
*/
public $evaluatedFrameCount;
/**
* UNIMPLEMENTED. The total number of tracks (i.e. as seen across all frames)
* the ground truth used to create this evaluation had.
*
* @var int
*/
public $evaluatedTrackCount;
/**
* UNIMPLEMENTED. The single metric for tracks accuracy evaluation: the
* `meanAveragePrecision` averaged over all `trackMetrics`.
*
* @var float
*/
public $trackMeanAveragePrecision;
/**
* UNIMPLEMENTED. The single metric for tracks bounding box iou evaluation:
* the `meanBoundingBoxIou` averaged over all `trackMetrics`.
*
* @var float
*/
public $trackMeanBoundingBoxIou;
/**
* UNIMPLEMENTED. The single metric for tracking consistency evaluation: the
* `meanMismatchRate` averaged over all `trackMetrics`.
*
* @var float
*/
public $trackMeanMismatchRate;
protected $trackMetricsType = GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics::class;
protected $trackMetricsDataType = 'array';
/**
* The single metric for bounding boxes evaluation: the `meanAveragePrecision`
* averaged over all `boundingBoxMetrics`.
*
* @param float $boundingBoxMeanAveragePrecision
*/
public function setBoundingBoxMeanAveragePrecision($boundingBoxMeanAveragePrecision)
{
$this->boundingBoxMeanAveragePrecision = $boundingBoxMeanAveragePrecision;
}
/**
* @return float
*/
public function getBoundingBoxMeanAveragePrecision()
{
return $this->boundingBoxMeanAveragePrecision;
}
/**
* 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.
*
* @param GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics[] $boundingBoxMetrics
*/
public function setBoundingBoxMetrics($boundingBoxMetrics)
{
$this->boundingBoxMetrics = $boundingBoxMetrics;
}
/**
* @return GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics[]
*/
public function getBoundingBoxMetrics()
{
return $this->boundingBoxMetrics;
}
/**
* UNIMPLEMENTED. The total number of bounding boxes (i.e. summed over all
* frames) the ground truth used to create this evaluation had.
*
* @param int $evaluatedBoundingBoxCount
*/
public function setEvaluatedBoundingBoxCount($evaluatedBoundingBoxCount)
{
$this->evaluatedBoundingBoxCount = $evaluatedBoundingBoxCount;
}
/**
* @return int
*/
public function getEvaluatedBoundingBoxCount()
{
return $this->evaluatedBoundingBoxCount;
}
/**
* UNIMPLEMENTED. The number of video frames used to create this evaluation.
*
* @param int $evaluatedFrameCount
*/
public function setEvaluatedFrameCount($evaluatedFrameCount)
{
$this->evaluatedFrameCount = $evaluatedFrameCount;
}
/**
* @return int
*/
public function getEvaluatedFrameCount()
{
return $this->evaluatedFrameCount;
}
/**
* UNIMPLEMENTED. The total number of tracks (i.e. as seen across all frames)
* the ground truth used to create this evaluation had.
*
* @param int $evaluatedTrackCount
*/
public function setEvaluatedTrackCount($evaluatedTrackCount)
{
$this->evaluatedTrackCount = $evaluatedTrackCount;
}
/**
* @return int
*/
public function getEvaluatedTrackCount()
{
return $this->evaluatedTrackCount;
}
/**
* UNIMPLEMENTED. The single metric for tracks accuracy evaluation: the
* `meanAveragePrecision` averaged over all `trackMetrics`.
*
* @param float $trackMeanAveragePrecision
*/
public function setTrackMeanAveragePrecision($trackMeanAveragePrecision)
{
$this->trackMeanAveragePrecision = $trackMeanAveragePrecision;
}
/**
* @return float
*/
public function getTrackMeanAveragePrecision()
{
return $this->trackMeanAveragePrecision;
}
/**
* UNIMPLEMENTED. The single metric for tracks bounding box iou evaluation:
* the `meanBoundingBoxIou` averaged over all `trackMetrics`.
*
* @param float $trackMeanBoundingBoxIou
*/
public function setTrackMeanBoundingBoxIou($trackMeanBoundingBoxIou)
{
$this->trackMeanBoundingBoxIou = $trackMeanBoundingBoxIou;
}
/**
* @return float
*/
public function getTrackMeanBoundingBoxIou()
{
return $this->trackMeanBoundingBoxIou;
}
/**
* UNIMPLEMENTED. The single metric for tracking consistency evaluation: the
* `meanMismatchRate` averaged over all `trackMetrics`.
*
* @param float $trackMeanMismatchRate
*/
public function setTrackMeanMismatchRate($trackMeanMismatchRate)
{
$this->trackMeanMismatchRate = $trackMeanMismatchRate;
}
/**
* @return float
*/
public function getTrackMeanMismatchRate()
{
return $this->trackMeanMismatchRate;
}
/**
* UNIMPLEMENTED. The tracks 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.
*
* @param GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics[] $trackMetrics
*/
public function setTrackMetrics($trackMetrics)
{
$this->trackMetrics = $trackMetrics;
}
/**
* @return GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics[]
*/
public function getTrackMetrics()
{
return $this->trackMetrics;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics');
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