google.cloud.aiplatform.v1.BlurBaselineConfig
*/
class BlurBaselineConfig extends \Google\Protobuf\Internal\Message
{
/**
* The standard deviation of the blur kernel for the blurred baseline. The
* same blurring parameter is used for both the height and the width
* dimension. If not set, the method defaults to the zero (i.e. black for
* images) baseline.
*
* Generated from protobuf field float max_blur_sigma = 1;
*/
private $max_blur_sigma = 0.0;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type float $max_blur_sigma
* The standard deviation of the blur kernel for the blurred baseline. The
* same blurring parameter is used for both the height and the width
* dimension. If not set, the method defaults to the zero (i.e. black for
* images) baseline.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Aiplatform\V1\Explanation::initOnce();
parent::__construct($data);
}
/**
* The standard deviation of the blur kernel for the blurred baseline. The
* same blurring parameter is used for both the height and the width
* dimension. If not set, the method defaults to the zero (i.e. black for
* images) baseline.
*
* Generated from protobuf field float max_blur_sigma = 1;
* @return float
*/
public function getMaxBlurSigma()
{
return $this->max_blur_sigma;
}
/**
* The standard deviation of the blur kernel for the blurred baseline. The
* same blurring parameter is used for both the height and the width
* dimension. If not set, the method defaults to the zero (i.e. black for
* images) baseline.
*
* Generated from protobuf field float max_blur_sigma = 1;
* @param float $var
* @return $this
*/
public function setMaxBlurSigma($var)
{
GPBUtil::checkFloat($var);
$this->max_blur_sigma = $var;
return $this;
}
}