var File_google_cloud_aiplatform_v1beta1_schema_predict_params_image_classification_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_image_object_detection_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_image_segmentation_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_action_recognition_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto protoreflect.FileDescriptor

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_object_tracking_proto protoreflect.FileDescriptor

type ImageClassificationPredictionParams struct {

	// The Model only returns predictions with at least this confidence score.
	// Default value is 0.0
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// 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.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// contains filtered or unexported fields
}

type ImageObjectDetectionPredictionParams struct {

	// The Model only returns predictions with at least this confidence score.
	// Default value is 0.0
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// The Model only returns up to that many top, by confidence score,
	// predictions per instance. Note that number of returned predictions is also
	// limited by metadata's predictionsLimit. Default value is 10.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// contains filtered or unexported fields
}

type ImageSegmentationPredictionParams struct {

	// When the model predicts category of pixels of the image, it will only
	// provide predictions for pixels that it is at least this much confident
	// about. All other pixels will be classified as background. Default value is
	// 0.5.
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// contains filtered or unexported fields
}

type VideoActionRecognitionPredictionParams struct {

	// The Model only returns predictions with at least this confidence score.
	// Default value is 0.0
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// The model only returns up to that many top, by confidence score,
	// predictions per frame of the video. If this number is very high, the
	// Model may return fewer predictions per frame. Default value is 50.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// contains filtered or unexported fields
}

type VideoClassificationPredictionParams struct {

	// The Model only returns predictions with at least this confidence score.
	// Default value is 0.0
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// 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.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// 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
	SegmentClassification bool `protobuf:"varint,3,opt,name=segment_classification,json=segmentClassification,proto3" json:"segment_classification,omitempty"`
	// 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
	ShotClassification bool `protobuf:"varint,4,opt,name=shot_classification,json=shotClassification,proto3" json:"shot_classification,omitempty"`
	// 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
	OneSecIntervalClassification bool `protobuf:"varint,5,opt,name=one_sec_interval_classification,json=oneSecIntervalClassification,proto3" json:"one_sec_interval_classification,omitempty"`
	// contains filtered or unexported fields
}

type VideoObjectTrackingPredictionParams struct {

	// The Model only returns predictions with at least this confidence score.
	// Default value is 0.0
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// The model only returns up to that many top, by confidence score,
	// predictions per frame of the video. If this number is very high, the
	// Model may return fewer predictions per frame. Default value is 50.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// Only bounding boxes with shortest edge at least that long as a relative
	// value of video frame size are returned. Default value is 0.0.
	MinBoundingBoxSize float32 `protobuf:"fixed32,3,opt,name=min_bounding_box_size,json=minBoundingBoxSize,proto3" json:"min_bounding_box_size,omitempty"`
	// contains filtered or unexported fields
}