| // 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) |
| } |
| |
| var fileDescriptor_85c92c72aeb2dfbd = []byte{ |
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| 0x1b, 0xd7, 0x1a, 0xfa, 0xff, 0x94, 0x04, 0xc0, 0x54, 0x8c, 0x13, 0x8e, 0xfd, 0x77, 0x84, 0x46, |
| 0x95, 0x14, 0x6b, 0xa8, 0x49, 0x68, 0x2a, 0x30, 0xf5, 0xc1, 0x25, 0x81, 0x0c, 0x31, 0xef, 0xa0, |
| 0xa2, 0xb4, 0x1f, 0x18, 0x36, 0x6a, 0x0a, 0x92, 0x80, 0xcb, 0xc2, 0x30, 0x05, 0x21, 0x8f, 0x6f, |
| 0xf6, 0xdb, 0x45, 0xca, 0x82, 0x8e, 0xb9, 0x9b, 0xd3, 0x71, 0xd0, 0xd8, 0x7d, 0x24, 0xcd, 0xb7, |
| 0x5a, 0x6c, 0xfc, 0x9e, 0x16, 0x67, 0xaa, 0x2d, 0x7e, 0x6a, 0xa0, 0xff, 0x86, 0xa5, 0xeb, 0x10, |
| 0x04, 0x27, 0x7e, 0xba, 0x47, 0x05, 0xbf, 0x32, 0x36, 0xd1, 0x3f, 0x84, 0x65, 0xae, 0x38, 0xe7, |
| 0x90, 0x9e, 0xb3, 0x58, 0xb5, 0xa7, 0x3b, 0x0b, 0x84, 0x65, 0x27, 0x45, 0xcd, 0xd8, 0x46, 0xcb, |
| 0x09, 0x60, 0xea, 0xe2, 0x0b, 0xe0, 0x38, 0x02, 0x77, 0xc4, 0xc1, 0x27, 0x29, 0x61, 0x34, 0x47, |
| 0xb9, 0x34, 0x56, 0x07, 0x4a, 0x3c, 0x2e, 0x34, 0xe3, 0x83, 0x86, 0x3a, 0x3e, 0xa3, 0x21, 0x09, |
| 0x60, 0x8c, 0x2e, 0x51, 0xd7, 0xba, 0x40, 0x05, 0x27, 0x90, 0xb6, 0x1a, 0xeb, 0x8d, 0xad, 0x66, |
| 0xff, 0xd5, 0xbd, 0x3a, 0x9d, 0x4a, 0x6d, 0xee, 0x4c, 0x8e, 0xad, 0x96, 0x9d, 0x96, 0x5f, 0x57, |
| 0x27, 0x90, 0x76, 0x3e, 0x6a, 0x68, 0xb9, 0x7e, 0x93, 0xd1, 0x43, 0x4b, 0x95, 0x94, 0xd3, 0x20, |
| 0x16, 0x4b, 0xad, 0xe4, 0xb1, 0x8c, 0xe6, 0x38, 0xf8, 0x38, 0x8e, 0xf3, 0xfe, 0xf3, 0x95, 0xd1, |
| 0x45, 0xf3, 0x25, 0x9a, 0x86, 0x94, 0xca, 0x82, 0xd1, 0x46, 0x7f, 0x87, 0x3d, 0xb7, 0x3a, 0x9f, |
| 0xbf, 0xc2, 0xde, 0x6b, 0x39, 0xa1, 0x2f, 0x3a, 0x7a, 0x58, 0xf7, 0x2d, 0xec, 0x5d, 0xe0, 0x38, |
| 0x93, 0x8f, 0x26, 0x8f, 0x6c, 0x3c, 0x47, 0x5d, 0x50, 0x45, 0x08, 0xdc, 0xea, 0xcb, 0x71, 0x7d, |
| 0x96, 0x51, 0x21, 0x53, 0xcf, 0x3a, 0xed, 0x89, 0xa7, 0x42, 0x70, 0x67, 0x6c, 0x30, 0x32, 0xd4, |
| 0xbd, 0xb1, 0x6d, 0x7a, 0x2c, 0xba, 0x1c, 0xcb, 0xf6, 0xcf, 0x8c, 0xc5, 0x69, 0x7b, 0xb5, 0x02, |
| 0x81, 0xd4, 0x38, 0x40, 0x9b, 0x53, 0xd7, 0xd6, 0xbe, 0x27, 0x05, 0x6d, 0xed, 0xc6, 0x39, 0xb7, |
| 0x9f, 0xd6, 0xc6, 0xb5, 0x8e, 0x1e, 0xd4, 0x7c, 0xb4, 0xb7, 0x71, 0xf5, 0xd1, 0xbf, 0x25, 0xae, |
| 0x90, 0xe3, 0x04, 0x6e, 0x70, 0x5a, 0x9c, 0x88, 0x2f, 0xc6, 0x9a, 0x22, 0xf4, 0x23, 0xc4, 0xfa, |
| 0xaf, 0x22, 0x9e, 0xf9, 0xa3, 0x88, 0xe7, 0xee, 0x85, 0x78, 0xf8, 0x59, 0x43, 0x6b, 0x3e, 0x4b, |
| 0xee, 0x0a, 0x79, 0xac, 0xbd, 0x19, 0xe4, 0x72, 0xc4, 0x62, 0x4c, 0x23, 0x93, 0xf1, 0xc8, 0x8a, |
| 0x80, 0xca, 0x9f, 0x3c, 0x4b, 0x49, 0x78, 0x44, 0xd2, 0xda, 0x7f, 0x93, 0x67, 0x6a, 0xf9, 0x55, |
| 0x5f, 0x79, 0x29, 0x8d, 0x67, 0x3b, 0x63, 0xd3, 0xd9, 0x20, 0x13, 0xec, 0x30, 0x3e, 0x3b, 0x55, |
| 0xa6, 0x6f, 0xfa, 0xaa, 0x52, 0x6d, 0x5b, 0xca, 0xb6, 0x2d, 0xf5, 0x03, 0xdb, 0xce, 0x0d, 0xde, |
| 0x9c, 0xbc, 0xec, 0xe9, 0xf7, 0x00, 0x00, 0x00, 0xff, 0xff, 0xec, 0x5c, 0xae, 0x18, 0x03, 0x07, |
| 0x00, 0x00, |
| } |
