How to use Box method of proto Package

Best Rod code snippet using proto.Box

detection.pb.go

Source:detection.pb.go

...40	state         protoimpl.MessageState41	sizeCache     protoimpl.SizeCache42	unknownFields protoimpl.UnknownFields43	// Output only. The rectangle representing the object location.44	BoundingBox *BoundingPoly `protobuf:"bytes,1,opt,name=bounding_box,json=boundingBox,proto3" json:"bounding_box,omitempty"`45	// Output only. The confidence that this annotation is positive for the parent example,46	// value in [0, 1], higher means higher positivity confidence.47	Score float32 `protobuf:"fixed32,2,opt,name=score,proto3" json:"score,omitempty"`48}49func (x *ImageObjectDetectionAnnotation) Reset() {50	*x = ImageObjectDetectionAnnotation{}51	if protoimpl.UnsafeEnabled {52		mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[0]53		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))54		ms.StoreMessageInfo(mi)55	}56}57func (x *ImageObjectDetectionAnnotation) String() string {58	return protoimpl.X.MessageStringOf(x)59}60func (*ImageObjectDetectionAnnotation) ProtoMessage() {}61func (x *ImageObjectDetectionAnnotation) ProtoReflect() protoreflect.Message {62	mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[0]63	if protoimpl.UnsafeEnabled && x != nil {64		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))65		if ms.LoadMessageInfo() == nil {66			ms.StoreMessageInfo(mi)67		}68		return ms69	}70	return mi.MessageOf(x)71}72// Deprecated: Use ImageObjectDetectionAnnotation.ProtoReflect.Descriptor instead.73func (*ImageObjectDetectionAnnotation) Descriptor() ([]byte, []int) {74	return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{0}75}76func (x *ImageObjectDetectionAnnotation) GetBoundingBox() *BoundingPoly {77	if x != nil {78		return x.BoundingBox79	}80	return nil81}82func (x *ImageObjectDetectionAnnotation) GetScore() float32 {83	if x != nil {84		return x.Score85	}86	return 087}88// Bounding box matching model metrics for a single intersection-over-union89// threshold and multiple label match confidence thresholds.90type BoundingBoxMetricsEntry struct {91	state         protoimpl.MessageState92	sizeCache     protoimpl.SizeCache93	unknownFields protoimpl.UnknownFields94	// Output only. The intersection-over-union threshold value used to compute95	// this metrics entry.96	IouThreshold float32 `protobuf:"fixed32,1,opt,name=iou_threshold,json=iouThreshold,proto3" json:"iou_threshold,omitempty"`97	// Output only. The mean average precision, most often close to au_prc.98	MeanAveragePrecision float32 `protobuf:"fixed32,2,opt,name=mean_average_precision,json=meanAveragePrecision,proto3" json:"mean_average_precision,omitempty"`99	// Output only. Metrics for each label-match confidence_threshold from100	// 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is101	// derived from them.102	ConfidenceMetricsEntries []*BoundingBoxMetricsEntry_ConfidenceMetricsEntry `protobuf:"bytes,3,rep,name=confidence_metrics_entries,json=confidenceMetricsEntries,proto3" json:"confidence_metrics_entries,omitempty"`103}104func (x *BoundingBoxMetricsEntry) Reset() {105	*x = BoundingBoxMetricsEntry{}106	if protoimpl.UnsafeEnabled {107		mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[1]108		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))109		ms.StoreMessageInfo(mi)110	}111}112func (x *BoundingBoxMetricsEntry) String() string {113	return protoimpl.X.MessageStringOf(x)114}115func (*BoundingBoxMetricsEntry) ProtoMessage() {}116func (x *BoundingBoxMetricsEntry) ProtoReflect() protoreflect.Message {117	mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[1]118	if protoimpl.UnsafeEnabled && x != nil {119		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))120		if ms.LoadMessageInfo() == nil {121			ms.StoreMessageInfo(mi)122		}123		return ms124	}125	return mi.MessageOf(x)126}127// Deprecated: Use BoundingBoxMetricsEntry.ProtoReflect.Descriptor instead.128func (*BoundingBoxMetricsEntry) Descriptor() ([]byte, []int) {129	return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{1}130}131func (x *BoundingBoxMetricsEntry) GetIouThreshold() float32 {132	if x != nil {133		return x.IouThreshold134	}135	return 0136}137func (x *BoundingBoxMetricsEntry) GetMeanAveragePrecision() float32 {138	if x != nil {139		return x.MeanAveragePrecision140	}141	return 0142}143func (x *BoundingBoxMetricsEntry) GetConfidenceMetricsEntries() []*BoundingBoxMetricsEntry_ConfidenceMetricsEntry {144	if x != nil {145		return x.ConfidenceMetricsEntries146	}147	return nil148}149// Model evaluation metrics for image object detection problems.150// Evaluates prediction quality of labeled bounding boxes.151type ImageObjectDetectionEvaluationMetrics struct {152	state         protoimpl.MessageState153	sizeCache     protoimpl.SizeCache154	unknownFields protoimpl.UnknownFields155	// Output only. The total number of bounding boxes (i.e. summed over all156	// images) the ground truth used to create this evaluation had.157	EvaluatedBoundingBoxCount int32 `protobuf:"varint,1,opt,name=evaluated_bounding_box_count,json=evaluatedBoundingBoxCount,proto3" json:"evaluated_bounding_box_count,omitempty"`158	// Output only. The bounding boxes match metrics for each159	// Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99160	// and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99161	// pair.162	BoundingBoxMetricsEntries []*BoundingBoxMetricsEntry `protobuf:"bytes,2,rep,name=bounding_box_metrics_entries,json=boundingBoxMetricsEntries,proto3" json:"bounding_box_metrics_entries,omitempty"`163	// Output only. The single metric for bounding boxes evaluation:164	// the mean_average_precision averaged over all bounding_box_metrics_entries.165	BoundingBoxMeanAveragePrecision float32 `protobuf:"fixed32,3,opt,name=bounding_box_mean_average_precision,json=boundingBoxMeanAveragePrecision,proto3" json:"bounding_box_mean_average_precision,omitempty"`166}167func (x *ImageObjectDetectionEvaluationMetrics) Reset() {168	*x = ImageObjectDetectionEvaluationMetrics{}169	if protoimpl.UnsafeEnabled {170		mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[2]171		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))172		ms.StoreMessageInfo(mi)173	}174}175func (x *ImageObjectDetectionEvaluationMetrics) String() string {176	return protoimpl.X.MessageStringOf(x)177}178func (*ImageObjectDetectionEvaluationMetrics) ProtoMessage() {}179func (x *ImageObjectDetectionEvaluationMetrics) ProtoReflect() protoreflect.Message {180	mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[2]181	if protoimpl.UnsafeEnabled && x != nil {182		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))183		if ms.LoadMessageInfo() == nil {184			ms.StoreMessageInfo(mi)185		}186		return ms187	}188	return mi.MessageOf(x)189}190// Deprecated: Use ImageObjectDetectionEvaluationMetrics.ProtoReflect.Descriptor instead.191func (*ImageObjectDetectionEvaluationMetrics) Descriptor() ([]byte, []int) {192	return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{2}193}194func (x *ImageObjectDetectionEvaluationMetrics) GetEvaluatedBoundingBoxCount() int32 {195	if x != nil {196		return x.EvaluatedBoundingBoxCount197	}198	return 0199}200func (x *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMetricsEntries() []*BoundingBoxMetricsEntry {201	if x != nil {202		return x.BoundingBoxMetricsEntries203	}204	return nil205}206func (x *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMeanAveragePrecision() float32 {207	if x != nil {208		return x.BoundingBoxMeanAveragePrecision209	}210	return 0211}212// Metrics for a single confidence threshold.213type BoundingBoxMetricsEntry_ConfidenceMetricsEntry struct {214	state         protoimpl.MessageState215	sizeCache     protoimpl.SizeCache216	unknownFields protoimpl.UnknownFields217	// Output only. The confidence threshold value used to compute the metrics.218	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`219	// Output only. Recall under the given confidence threshold.220	Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"`221	// Output only. Precision under the given confidence threshold.222	Precision float32 `protobuf:"fixed32,3,opt,name=precision,proto3" json:"precision,omitempty"`223	// Output only. The harmonic mean of recall and precision.224	F1Score float32 `protobuf:"fixed32,4,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"`225}226func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Reset() {227	*x = BoundingBoxMetricsEntry_ConfidenceMetricsEntry{}228	if protoimpl.UnsafeEnabled {229		mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[3]230		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))231		ms.StoreMessageInfo(mi)232	}233}234func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) String() string {235	return protoimpl.X.MessageStringOf(x)236}237func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) ProtoMessage() {}238func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) ProtoReflect() protoreflect.Message {239	mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[3]240	if protoimpl.UnsafeEnabled && x != nil {241		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))242		if ms.LoadMessageInfo() == nil {243			ms.StoreMessageInfo(mi)244		}245		return ms246	}247	return mi.MessageOf(x)248}249// Deprecated: Use BoundingBoxMetricsEntry_ConfidenceMetricsEntry.ProtoReflect.Descriptor instead.250func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) {251	return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{1, 0}252}253func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 {254	if x != nil {255		return x.ConfidenceThreshold256	}257	return 0258}259func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetRecall() float32 {260	if x != nil {261		return x.Recall262	}263	return 0264}265func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetPrecision() float32 {266	if x != nil {267		return x.Precision268	}269	return 0270}271func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetF1Score() float32 {272	if x != nil {273		return x.F1Score274	}275	return 0276}277var File_google_cloud_automl_v1_detection_proto 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0x43, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x41, 0x75, 0x74,349	0x6f, 0x4d, 0x4c, 0x2e, 0x56, 0x31, 0xca, 0x02, 0x16, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x5c,350	0x43, 0x6c, 0x6f, 0x75, 0x64, 0x5c, 0x41, 0x75, 0x74, 0x6f, 0x4d, 0x6c, 0x5c, 0x56, 0x31, 0xea,351	0x02, 0x19, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x3a, 0x3a, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x3a,352	0x3a, 0x41, 0x75, 0x74, 0x6f, 0x4d, 0x4c, 0x3a, 0x3a, 0x56, 0x31, 0x62, 0x06, 0x70, 0x72, 0x6f,353	0x74, 0x6f, 0x33,354}355var (356	file_google_cloud_automl_v1_detection_proto_rawDescOnce sync.Once357	file_google_cloud_automl_v1_detection_proto_rawDescData = file_google_cloud_automl_v1_detection_proto_rawDesc358)359func file_google_cloud_automl_v1_detection_proto_rawDescGZIP() []byte {360	file_google_cloud_automl_v1_detection_proto_rawDescOnce.Do(func() {361		file_google_cloud_automl_v1_detection_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_detection_proto_rawDescData)362	})363	return file_google_cloud_automl_v1_detection_proto_rawDescData364}365var file_google_cloud_automl_v1_detection_proto_msgTypes = make([]protoimpl.MessageInfo, 4)366var file_google_cloud_automl_v1_detection_proto_goTypes = []interface{}{367	(*ImageObjectDetectionAnnotation)(nil),                 // 0: google.cloud.automl.v1.ImageObjectDetectionAnnotation368	(*BoundingBoxMetricsEntry)(nil),                        // 1: google.cloud.automl.v1.BoundingBoxMetricsEntry369	(*ImageObjectDetectionEvaluationMetrics)(nil),          // 2: google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics370	(*BoundingBoxMetricsEntry_ConfidenceMetricsEntry)(nil), // 3: google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry371	(*BoundingPoly)(nil),                                   // 4: google.cloud.automl.v1.BoundingPoly372}373var file_google_cloud_automl_v1_detection_proto_depIdxs = []int32{374	4, // 0: google.cloud.automl.v1.ImageObjectDetectionAnnotation.bounding_box:type_name -> google.cloud.automl.v1.BoundingPoly375	3, // 1: google.cloud.automl.v1.BoundingBoxMetricsEntry.confidence_metrics_entries:type_name -> google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry376	1, // 2: google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.bounding_box_metrics_entries:type_name -> google.cloud.automl.v1.BoundingBoxMetricsEntry377	3, // [3:3] is the sub-list for method output_type378	3, // [3:3] is the sub-list for method input_type379	3, // [3:3] is the sub-list for extension type_name380	3, // [3:3] is the sub-list for extension extendee381	0, // [0:3] is the sub-list for field type_name382}383func init() { file_google_cloud_automl_v1_detection_proto_init() }384func file_google_cloud_automl_v1_detection_proto_init() {385	if File_google_cloud_automl_v1_detection_proto != nil {386		return387	}388	file_google_cloud_automl_v1_geometry_proto_init()389	if !protoimpl.UnsafeEnabled {390		file_google_cloud_automl_v1_detection_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {391			switch v := v.(*ImageObjectDetectionAnnotation); i {392			case 0:393				return &v.state394			case 1:395				return &v.sizeCache396			case 2:397				return &v.unknownFields398			default:399				return nil400			}401		}402		file_google_cloud_automl_v1_detection_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {403			switch v := v.(*BoundingBoxMetricsEntry); i {404			case 0:405				return &v.state406			case 1:407				return &v.sizeCache408			case 2:409				return &v.unknownFields410			default:411				return nil412			}413		}414		file_google_cloud_automl_v1_detection_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {415			switch v := v.(*ImageObjectDetectionEvaluationMetrics); i {416			case 0:417				return &v.state418			case 1:419				return &v.sizeCache420			case 2:421				return &v.unknownFields422			default:423				return nil424			}425		}426		file_google_cloud_automl_v1_detection_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {427			switch v := v.(*BoundingBoxMetricsEntry_ConfidenceMetricsEntry); i {428			case 0:429				return &v.state430			case 1:431				return &v.sizeCache432			case 2:433				return &v.unknownFields434			default:435				return nil436			}437		}438	}439	type x struct{}440	out := protoimpl.TypeBuilder{441		File: protoimpl.DescBuilder{...

Box

Using AI Code Generation

1import (2type Point struct {3}4func (p Point) Distance(q Point) float64 {5	return math.Hypot(q.X-p.X, q.Y-p.Y)6}7func (path Path) Distance() float64 {8	for i := range path {9		if i > 0 {10			sum += path[i-1].Distance(path[i])11		}12	}13}14func main() {15	p := Path{{1, 1}, {5, 1}, {5, 4}, {1, 1}}16	fmt.Println(p.Distance())17}18import (19type Point struct {20}21func (p Point) Distance(q Point) float64 {22	return math.Hypot(q.X-p.X, q.Y-p.Y)23}24func (path Path) Distance() float64 {25	for i := range path {26		if i > 0 {27			sum += path[i-1].Distance(path[i])28		}29	}30}31func (p *Point) ScaleBy(factor float64) {32}33func main() {34	r := &Point{1, 2}35	r.ScaleBy(2)36	fmt.Println(*r)37}38import (39type Point struct {40}41func (p Point) Distance(q Point) float64 {42	return math.Hypot(q.X-p.X, q.Y-p.Y)43}44func (path Path) Distance() float64 {45	for i := range path {46		if i > 0 {47			sum += path[i-1].Distance(path[i])48		}49	}50}51func (p *Point) ScaleBy(factor float64) {52}53func (p Point) ScaleBy2(factor float64) {54}55func main() {56	r := Point{

Box

Using AI Code Generation

1import (2func main() {3	b := proto.Box{Width: 10, Height: 20}4	fmt.Println("Area of box is ", b.Area())5}6import (7func main() {8	b := proto.Box{Width: 10, Height: 20}9	fmt.Println("Area of box is ", b.Area())10}11import (12func main() {13	b := proto.Box{Width: 10, Height: 20}14	fmt.Println("Area of box is ", b.Area())15}16import (17func main() {18	b := proto.Box{Width: 10, Height: 20}19	fmt.Println("Area of box is ", b.Area())20}21import (22func main() {23	b := proto.Box{Width: 10, Height: 20}24	fmt.Println("Area of box is ", b.Area())25}26import (27func main() {28	b := proto.Box{Width: 10, Height: 20}29	fmt.Println("Area of box is ", b.Area())30}31import (32func main() {33	b := proto.Box{Width: 10, Height: 20}34	fmt.Println("Area of box is ", b.Area())35}36import (37func main() {38	b := proto.Box{Width: 10, Height: 20}39	fmt.Println("Area of box is ", b.Area())40}41import (42func main() {43	b := proto.Box{Width: 10, Height: 20}44	fmt.Println("Area of box is ", b.Area())45}46import (47func main() {48	b := proto.Box{Width: 10, Height: 20}49	fmt.Println("Area of box is

Box

Using AI Code Generation

1import (2func main() {3	m := &Box{4		Width:  proto.Int32(10),5		Height: proto.Int32(20),6	}7	data, err := proto.Marshal(m)8	if err != nil {9		fmt.Println("marshaling error: ", err)10	}11	newBox := &Box{}12	err = proto.Unmarshal(data, newBox)13	if err != nil {14		fmt.Println("unmarshaling error: ", err)15	}16	if m.GetWidth() != newBox.GetWidth() {17		fmt.Println("data mismatch %q != %q", m.GetWidth(), newBox.GetWidth())18	} else {19		fmt.Println("read data is ", newBox.GetWidth())20	}21}22import (23func main() {24	m := &Box{25		Width:  proto.Int32(10),26		Height: proto.Int32(20),27	}28	data, err := proto.Marshal(m)29	if err != nil {30		fmt.Println("marshaling error: ", err)31	}32	newBox := &Box{}33	err = proto.Unmarshal(data, newBox)34	if err != nil {35		fmt.Println("unmarshaling error: ", err)36	}37	if m.GetWidth() != newBox.GetWidth() {38		fmt.Println("data mismatch %q != %q", m.GetWidth(), newBox.GetWidth())39	} else {40		fmt.Println("read data is ", newBox.GetWidth())41	}42}43import (44func main() {45	m := &Box{46		Width:  proto.Int32(10),47		Height: proto.Int32(20),48	}

Box

Using AI Code Generation

1import (2func main() {3	b := &proto2.Box{4		Width:  proto.Int32(10),5		Height: proto.Int32(20),6		Depth:  proto.Int32(30),7	}8	fmt.Println("Box: ", b)9	fmt.Println("Width: ", b.GetWidth())10	fmt.Println("Height: ", b.GetHeight())11	fmt.Println("Depth: ", b.GetDepth())12	b1 := &proto2.Box{13		Width:  proto.Int32(10),14		Height: proto.Int32(20),15		Depth:  proto.Int32(30),16	}17	fmt.Println("Box: ", b1)18	fmt.Println("Width: ", b1.GetWidth())19	fmt.Println("Height: ", b1.GetHeight())20	fmt.Println("Depth: ", b1.GetDepth())21	b2 := &proto2.Box{22		Width:  proto.Int32(10),23		Height: proto.Int32(20),24		Depth:  proto.Int32(30),25	}26	fmt.Println("Box: ", b2)27	fmt.Println("Width: ", b2.GetWidth())28	fmt.Println("Height: ", b2.GetHeight())29	fmt.Println("Depth: ", b2.GetDepth())30	b3 := &proto2.Box{31		Width:  proto.Int32(10),32		Height: proto.Int32(20),33		Depth:  proto.Int32(30),34	}35	fmt.Println("Box: ", b3)36	fmt.Println("Width: ", b3.GetWidth())37	fmt.Println("Height: ", b3.GetHeight())38	fmt.Println("Depth: ", b3.GetDepth())39	b4 := &proto2.Box{40		Width:  proto.Int32(10),41		Height: proto.Int32(20),42		Depth:  proto.Int32(30),43	}44	fmt.Println("Box: ", b4)45	fmt.Println("Width: ", b4.GetWidth())46	fmt.Println("Height: ", b4.GetHeight())

Box

Using AI Code Generation

1import (2func main() {3	b := protobuf.Box{Length: 10, Breadth: 20}4	fmt.Println("The area of the box is", b.Area())5}6import (7func main() {8	b := protobuf.Box{Length: 10, Breadth: 20}9	fmt.Println("The area of the box is", b.Area())10}11import (12func main() {

Box

Using AI Code Generation

1import (2func main() {3	box1 := &box.Box{4	}5	data, err := proto.Marshal(box1)6	if err != nil {7		fmt.Println("Error in marshalling", err)8	}9	box2 := &box.Box{}10	err = proto.Unmarshal(data, box2)11	if err != nil {12		fmt.Println("Error in unmarshalling", err)13	}14	fmt.Println("Box 2", box2)15}

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.