// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/automl/v1beta1/detection.proto

package automl

import (
	fmt "fmt"
	proto "github.com/golang/protobuf/proto"
	duration "github.com/golang/protobuf/ptypes/duration"
	_ "google.golang.org/genproto/googleapis/api/annotations"
	math "math"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package

// Annotation details for image object detection.
type ImageObjectDetectionAnnotation struct {
	// Output only. The rectangle representing the object location.
	BoundingBox *BoundingPoly `protobuf:"bytes,1,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
	// Output only. The confidence that this annotation is positive for the parent example,
	// value in [0, 1], higher means higher positivity confidence.
	Score                float32  `protobuf:"fixed32,2,opt,name=score,proto3" json:"score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *ImageObjectDetectionAnnotation) Reset()         { *m = ImageObjectDetectionAnnotation{} }
func (m *ImageObjectDetectionAnnotation) String() string { return proto.CompactTextString(m) }
func (*ImageObjectDetectionAnnotation) ProtoMessage()    {}
func (*ImageObjectDetectionAnnotation) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{0}
}

func (m *ImageObjectDetectionAnnotation) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_ImageObjectDetectionAnnotation.Unmarshal(m, b)
}
func (m *ImageObjectDetectionAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_ImageObjectDetectionAnnotation.Marshal(b, m, deterministic)
}
func (m *ImageObjectDetectionAnnotation) XXX_Merge(src proto.Message) {
	xxx_messageInfo_ImageObjectDetectionAnnotation.Merge(m, src)
}
func (m *ImageObjectDetectionAnnotation) XXX_Size() int {
	return xxx_messageInfo_ImageObjectDetectionAnnotation.Size(m)
}
func (m *ImageObjectDetectionAnnotation) XXX_DiscardUnknown() {
	xxx_messageInfo_ImageObjectDetectionAnnotation.DiscardUnknown(m)
}

var xxx_messageInfo_ImageObjectDetectionAnnotation proto.InternalMessageInfo

func (m *ImageObjectDetectionAnnotation) GetBoundingBox() *BoundingPoly {
	if m != nil {
		return m.BoundingBox
	}
	return nil
}

func (m *ImageObjectDetectionAnnotation) GetScore() float32 {
	if m != nil {
		return m.Score
	}
	return 0
}

// Annotation details for video object tracking.
type VideoObjectTrackingAnnotation struct {
	// Optional. The instance of the object, expressed as a positive integer. Used to tell
	// apart objects of the same type (i.e. AnnotationSpec) when multiple are
	// present on a single example.
	// NOTE: Instance ID prediction quality is not a part of model evaluation and
	// is done as best effort. Especially in cases when an entity goes
	// off-screen for a longer time (minutes), when it comes back it may be given
	// a new instance ID.
	InstanceId string `protobuf:"bytes,1,opt,name=instance_id,json=instanceId,proto3" json:"instance_id,omitempty"`
	// Required. A time (frame) of a video to which this annotation pertains.
	// Represented as the duration since the video's start.
	TimeOffset *duration.Duration `protobuf:"bytes,2,opt,name=time_offset,json=timeOffset,proto3" json:"time_offset,omitempty"`
	// Required. The rectangle representing the object location on the frame (i.e.
	// at the time_offset of the video).
	BoundingBox *BoundingPoly `protobuf:"bytes,3,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`
	// Output only. The confidence that this annotation is positive for the video at
	// the time_offset, value in [0, 1], higher means higher positivity
	// confidence. For annotations created by the user the score is 1. When
	// user approves an annotation, the original float score is kept (and not
	// changed to 1).
	Score                float32  `protobuf:"fixed32,4,opt,name=score,proto3" json:"score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *VideoObjectTrackingAnnotation) Reset()         { *m = VideoObjectTrackingAnnotation{} }
func (m *VideoObjectTrackingAnnotation) String() string { return proto.CompactTextString(m) }
func (*VideoObjectTrackingAnnotation) ProtoMessage()    {}
func (*VideoObjectTrackingAnnotation) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{1}
}

func (m *VideoObjectTrackingAnnotation) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_VideoObjectTrackingAnnotation.Unmarshal(m, b)
}
func (m *VideoObjectTrackingAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_VideoObjectTrackingAnnotation.Marshal(b, m, deterministic)
}
func (m *VideoObjectTrackingAnnotation) XXX_Merge(src proto.Message) {
	xxx_messageInfo_VideoObjectTrackingAnnotation.Merge(m, src)
}
func (m *VideoObjectTrackingAnnotation) XXX_Size() int {
	return xxx_messageInfo_VideoObjectTrackingAnnotation.Size(m)
}
func (m *VideoObjectTrackingAnnotation) XXX_DiscardUnknown() {
	xxx_messageInfo_VideoObjectTrackingAnnotation.DiscardUnknown(m)
}

var xxx_messageInfo_VideoObjectTrackingAnnotation proto.InternalMessageInfo

func (m *VideoObjectTrackingAnnotation) GetInstanceId() string {
	if m != nil {
		return m.InstanceId
	}
	return ""
}

func (m *VideoObjectTrackingAnnotation) GetTimeOffset() *duration.Duration {
	if m != nil {
		return m.TimeOffset
	}
	return nil
}

func (m *VideoObjectTrackingAnnotation) GetBoundingBox() *BoundingPoly {
	if m != nil {
		return m.BoundingBox
	}
	return nil
}

func (m *VideoObjectTrackingAnnotation) GetScore() float32 {
	if m != nil {
		return m.Score
	}
	return 0
}

// Bounding box matching model metrics for a single intersection-over-union
// threshold and multiple label match confidence thresholds.
type BoundingBoxMetricsEntry struct {
	// Output only. The intersection-over-union threshold value used to compute
	// this metrics entry.
	IouThreshold float32 `protobuf:"fixed32,1,opt,name=iou_threshold,json=iouThreshold,proto3" json:"iou_threshold,omitempty"`
	// Output only. The mean average precision, most often close to au_prc.
	MeanAveragePrecision float32 `protobuf:"fixed32,2,opt,name=mean_average_precision,json=meanAveragePrecision,proto3" json:"mean_average_precision,omitempty"`
	// Output only. Metrics for each label-match confidence_threshold from
	// 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
	// derived from them.
	ConfidenceMetricsEntries []*BoundingBoxMetricsEntry_ConfidenceMetricsEntry `protobuf:"bytes,3,rep,name=confidence_metrics_entries,json=confidenceMetricsEntries,proto3" json:"confidence_metrics_entries,omitempty"`
	XXX_NoUnkeyedLiteral     struct{}                                          `json:"-"`
	XXX_unrecognized         []byte                                            `json:"-"`
	XXX_sizecache            int32                                             `json:"-"`
}

func (m *BoundingBoxMetricsEntry) Reset()         { *m = BoundingBoxMetricsEntry{} }
func (m *BoundingBoxMetricsEntry) String() string { return proto.CompactTextString(m) }
func (*BoundingBoxMetricsEntry) ProtoMessage()    {}
func (*BoundingBoxMetricsEntry) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{2}
}

func (m *BoundingBoxMetricsEntry) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_BoundingBoxMetricsEntry.Unmarshal(m, b)
}
func (m *BoundingBoxMetricsEntry) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_BoundingBoxMetricsEntry.Marshal(b, m, deterministic)
}
func (m *BoundingBoxMetricsEntry) XXX_Merge(src proto.Message) {
	xxx_messageInfo_BoundingBoxMetricsEntry.Merge(m, src)
}
func (m *BoundingBoxMetricsEntry) XXX_Size() int {
	return xxx_messageInfo_BoundingBoxMetricsEntry.Size(m)
}
func (m *BoundingBoxMetricsEntry) XXX_DiscardUnknown() {
	xxx_messageInfo_BoundingBoxMetricsEntry.DiscardUnknown(m)
}

var xxx_messageInfo_BoundingBoxMetricsEntry proto.InternalMessageInfo

func (m *BoundingBoxMetricsEntry) GetIouThreshold() float32 {
	if m != nil {
		return m.IouThreshold
	}
	return 0
}

func (m *BoundingBoxMetricsEntry) GetMeanAveragePrecision() float32 {
	if m != nil {
		return m.MeanAveragePrecision
	}
	return 0
}

func (m *BoundingBoxMetricsEntry) GetConfidenceMetricsEntries() []*BoundingBoxMetricsEntry_ConfidenceMetricsEntry {
	if m != nil {
		return m.ConfidenceMetricsEntries
	}
	return nil
}

// Metrics for a single confidence threshold.
type BoundingBoxMetricsEntry_ConfidenceMetricsEntry struct {
	// Output only. The confidence threshold value used to compute the metrics.
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// Output only. Recall under the given confidence threshold.
	Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"`
	// Output only. Precision under the given confidence threshold.
	Precision float32 `protobuf:"fixed32,3,opt,name=precision,proto3" json:"precision,omitempty"`
	// Output only. The harmonic mean of recall and precision.
	F1Score              float32  `protobuf:"fixed32,4,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Reset() {
	*m = BoundingBoxMetricsEntry_ConfidenceMetricsEntry{}
}
func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) String() string {
	return proto.CompactTextString(m)
}
func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) ProtoMessage() {}
func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{2, 0}
}

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry.Unmarshal(m, b)
}
func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry.Marshal(b, m, deterministic)
}
func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) XXX_Merge(src proto.Message) {
	xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry.Merge(m, src)
}
func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) XXX_Size() int {
	return xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry.Size(m)
}
func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) XXX_DiscardUnknown() {
	xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry.DiscardUnknown(m)
}

var xxx_messageInfo_BoundingBoxMetricsEntry_ConfidenceMetricsEntry proto.InternalMessageInfo

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 {
	if m != nil {
		return m.ConfidenceThreshold
	}
	return 0
}

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetRecall() float32 {
	if m != nil {
		return m.Recall
	}
	return 0
}

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetPrecision() float32 {
	if m != nil {
		return m.Precision
	}
	return 0
}

func (m *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetF1Score() float32 {
	if m != nil {
		return m.F1Score
	}
	return 0
}

// Model evaluation metrics for image object detection problems.
// Evaluates prediction quality of labeled bounding boxes.
type ImageObjectDetectionEvaluationMetrics struct {
	// Output only. The total number of bounding boxes (i.e. summed over all
	// images) the ground truth used to create this evaluation had.
	EvaluatedBoundingBoxCount int32 `protobuf:"varint,1,opt,name=evaluated_bounding_box_count,json=evaluatedBoundingBoxCount,proto3" json:"evaluated_bounding_box_count,omitempty"`
	// 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.
	BoundingBoxMetricsEntries []*BoundingBoxMetricsEntry `protobuf:"bytes,2,rep,name=bounding_box_metrics_entries,json=boundingBoxMetricsEntries,proto3" json:"bounding_box_metrics_entries,omitempty"`
	// Output only. The single metric for bounding boxes evaluation:
	// the mean_average_precision averaged over all bounding_box_metrics_entries.
	BoundingBoxMeanAveragePrecision float32  `protobuf:"fixed32,3,opt,name=bounding_box_mean_average_precision,json=boundingBoxMeanAveragePrecision,proto3" json:"bounding_box_mean_average_precision,omitempty"`
	XXX_NoUnkeyedLiteral            struct{} `json:"-"`
	XXX_unrecognized                []byte   `json:"-"`
	XXX_sizecache                   int32    `json:"-"`
}

func (m *ImageObjectDetectionEvaluationMetrics) Reset()         { *m = ImageObjectDetectionEvaluationMetrics{} }
func (m *ImageObjectDetectionEvaluationMetrics) String() string { return proto.CompactTextString(m) }
func (*ImageObjectDetectionEvaluationMetrics) ProtoMessage()    {}
func (*ImageObjectDetectionEvaluationMetrics) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{3}
}

func (m *ImageObjectDetectionEvaluationMetrics) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_ImageObjectDetectionEvaluationMetrics.Unmarshal(m, b)
}
func (m *ImageObjectDetectionEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_ImageObjectDetectionEvaluationMetrics.Marshal(b, m, deterministic)
}
func (m *ImageObjectDetectionEvaluationMetrics) XXX_Merge(src proto.Message) {
	xxx_messageInfo_ImageObjectDetectionEvaluationMetrics.Merge(m, src)
}
func (m *ImageObjectDetectionEvaluationMetrics) XXX_Size() int {
	return xxx_messageInfo_ImageObjectDetectionEvaluationMetrics.Size(m)
}
func (m *ImageObjectDetectionEvaluationMetrics) XXX_DiscardUnknown() {
	xxx_messageInfo_ImageObjectDetectionEvaluationMetrics.DiscardUnknown(m)
}

var xxx_messageInfo_ImageObjectDetectionEvaluationMetrics proto.InternalMessageInfo

func (m *ImageObjectDetectionEvaluationMetrics) GetEvaluatedBoundingBoxCount() int32 {
	if m != nil {
		return m.EvaluatedBoundingBoxCount
	}
	return 0
}

func (m *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMetricsEntries() []*BoundingBoxMetricsEntry {
	if m != nil {
		return m.BoundingBoxMetricsEntries
	}
	return nil
}

func (m *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMeanAveragePrecision() float32 {
	if m != nil {
		return m.BoundingBoxMeanAveragePrecision
	}
	return 0
}

// Model evaluation metrics for video object tracking problems.
// Evaluates prediction quality of both labeled bounding boxes and labeled
// tracks (i.e. series of bounding boxes sharing same label and instance ID).
type VideoObjectTrackingEvaluationMetrics struct {
	// Output only. The number of video frames used to create this evaluation.
	EvaluatedFrameCount int32 `protobuf:"varint,1,opt,name=evaluated_frame_count,json=evaluatedFrameCount,proto3" json:"evaluated_frame_count,omitempty"`
	// Output only. The total number of bounding boxes (i.e. summed over all
	// frames) the ground truth used to create this evaluation had.
	EvaluatedBoundingBoxCount int32 `protobuf:"varint,2,opt,name=evaluated_bounding_box_count,json=evaluatedBoundingBoxCount,proto3" json:"evaluated_bounding_box_count,omitempty"`
	// 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.
	BoundingBoxMetricsEntries []*BoundingBoxMetricsEntry `protobuf:"bytes,4,rep,name=bounding_box_metrics_entries,json=boundingBoxMetricsEntries,proto3" json:"bounding_box_metrics_entries,omitempty"`
	// Output only. The single metric for bounding boxes evaluation:
	// the mean_average_precision averaged over all bounding_box_metrics_entries.
	BoundingBoxMeanAveragePrecision float32  `protobuf:"fixed32,6,opt,name=bounding_box_mean_average_precision,json=boundingBoxMeanAveragePrecision,proto3" json:"bounding_box_mean_average_precision,omitempty"`
	XXX_NoUnkeyedLiteral            struct{} `json:"-"`
	XXX_unrecognized                []byte   `json:"-"`
	XXX_sizecache                   int32    `json:"-"`
}

func (m *VideoObjectTrackingEvaluationMetrics) Reset()         { *m = VideoObjectTrackingEvaluationMetrics{} }
func (m *VideoObjectTrackingEvaluationMetrics) String() string { return proto.CompactTextString(m) }
func (*VideoObjectTrackingEvaluationMetrics) ProtoMessage()    {}
func (*VideoObjectTrackingEvaluationMetrics) Descriptor() ([]byte, []int) {
	return fileDescriptor_85c92c72aeb2dfbd, []int{4}
}

func (m *VideoObjectTrackingEvaluationMetrics) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_VideoObjectTrackingEvaluationMetrics.Unmarshal(m, b)
}
func (m *VideoObjectTrackingEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_VideoObjectTrackingEvaluationMetrics.Marshal(b, m, deterministic)
}
func (m *VideoObjectTrackingEvaluationMetrics) XXX_Merge(src proto.Message) {
	xxx_messageInfo_VideoObjectTrackingEvaluationMetrics.Merge(m, src)
}
func (m *VideoObjectTrackingEvaluationMetrics) XXX_Size() int {
	return xxx_messageInfo_VideoObjectTrackingEvaluationMetrics.Size(m)
}
func (m *VideoObjectTrackingEvaluationMetrics) XXX_DiscardUnknown() {
	xxx_messageInfo_VideoObjectTrackingEvaluationMetrics.DiscardUnknown(m)
}

var xxx_messageInfo_VideoObjectTrackingEvaluationMetrics proto.InternalMessageInfo

func (m *VideoObjectTrackingEvaluationMetrics) GetEvaluatedFrameCount() int32 {
	if m != nil {
		return m.EvaluatedFrameCount
	}
	return 0
}

func (m *VideoObjectTrackingEvaluationMetrics) GetEvaluatedBoundingBoxCount() int32 {
	if m != nil {
		return m.EvaluatedBoundingBoxCount
	}
	return 0
}

func (m *VideoObjectTrackingEvaluationMetrics) GetBoundingBoxMetricsEntries() []*BoundingBoxMetricsEntry {
	if m != nil {
		return m.BoundingBoxMetricsEntries
	}
	return nil
}

func (m *VideoObjectTrackingEvaluationMetrics) GetBoundingBoxMeanAveragePrecision() float32 {
	if m != nil {
		return m.BoundingBoxMeanAveragePrecision
	}
	return 0
}

func init() {
	proto.RegisterType((*ImageObjectDetectionAnnotation)(nil), "google.cloud.automl.v1beta1.ImageObjectDetectionAnnotation")
	proto.RegisterType((*VideoObjectTrackingAnnotation)(nil), "google.cloud.automl.v1beta1.VideoObjectTrackingAnnotation")
	proto.RegisterType((*BoundingBoxMetricsEntry)(nil), "google.cloud.automl.v1beta1.BoundingBoxMetricsEntry")
	proto.RegisterType((*BoundingBoxMetricsEntry_ConfidenceMetricsEntry)(nil), "google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry")
	proto.RegisterType((*ImageObjectDetectionEvaluationMetrics)(nil), "google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics")
	proto.RegisterType((*VideoObjectTrackingEvaluationMetrics)(nil), "google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics")
}

func init() {
	proto.RegisterFile("google/cloud/automl/v1beta1/detection.proto", fileDescriptor_85c92c72aeb2dfbd)
}

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	0x00, 0x00,
}