📄 Source: GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams.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 GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams extends \Google\Model
{
/**
* The Model only returns predictions with at least this confidence score.
* Default value is 0.0
*
* @var float
*/
public $confidenceThreshold;
/**
* 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.
*
* @var int
*/
public $maxPredictions;
/**
* 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
*
* @var bool
*/
public $oneSecIntervalClassification;
/**
* 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
*
* @var bool
*/
public $segmentClassification;
/**
* 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
*
* @var bool
*/
public $shotClassification;
/**
* The Model only returns predictions with at least this confidence score.
* Default value is 0.0
*
* @param float $confidenceThreshold
*/
public function setConfidenceThreshold($confidenceThreshold)
{
$this->confidenceThreshold = $confidenceThreshold;
}
/**
* @return float
*/
public function getConfidenceThreshold()
{
return $this->confidenceThreshold;
}
/**
* 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.
*
* @param int $maxPredictions
*/
public function setMaxPredictions($maxPredictions)
{
$this->maxPredictions = $maxPredictions;
}
/**
* @return int
*/
public function getMaxPredictions()
{
return $this->maxPredictions;
}
/**
* 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
*
* @param bool $oneSecIntervalClassification
*/
public function setOneSecIntervalClassification($oneSecIntervalClassification)
{
$this->oneSecIntervalClassification = $oneSecIntervalClassification;
}
/**
* @return bool
*/
public function getOneSecIntervalClassification()
{
return $this->oneSecIntervalClassification;
}
/**
* 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
*
* @param bool $segmentClassification
*/
public function setSegmentClassification($segmentClassification)
{
$this->segmentClassification = $segmentClassification;
}
/**
* @return bool
*/
public function getSegmentClassification()
{
return $this->segmentClassification;
}
/**
* 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
*
* @param bool $shotClassification
*/
public function setShotClassification($shotClassification)
{
$this->shotClassification = $shotClassification;
}
/**
* @return bool
*/
public function getShotClassification()
{
return $this->shotClassification;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaPredictParamsVideoClassificationPredictionParams');
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