| // Copyright 2020 Google LLC |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| // Code generated by protoc-gen-go. DO NOT EDIT. |
| // versions: |
| // protoc-gen-go v1.22.0 |
| // protoc v3.12.2 |
| // source: google/cloud/automl/v1/detection.proto |
| |
| package automl |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| proto "github.com/golang/protobuf/proto" |
| _ "github.com/golang/protobuf/ptypes/duration" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // This is a compile-time assertion that a sufficiently up-to-date version |
| // of the legacy proto package is being used. |
| const _ = proto.ProtoPackageIsVersion4 |
| |
| // Annotation details for image object detection. |
| type ImageObjectDetectionAnnotation struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *ImageObjectDetectionAnnotation) Reset() { |
| *x = ImageObjectDetectionAnnotation{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ImageObjectDetectionAnnotation) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ImageObjectDetectionAnnotation) ProtoMessage() {} |
| |
| func (x *ImageObjectDetectionAnnotation) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[0] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ImageObjectDetectionAnnotation.ProtoReflect.Descriptor instead. |
| func (*ImageObjectDetectionAnnotation) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *ImageObjectDetectionAnnotation) GetBoundingBox() *BoundingPoly { |
| if x != nil { |
| return x.BoundingBox |
| } |
| return nil |
| } |
| |
| func (x *ImageObjectDetectionAnnotation) GetScore() float32 { |
| if x != nil { |
| return x.Score |
| } |
| return 0 |
| } |
| |
| // Bounding box matching model metrics for a single intersection-over-union |
| // threshold and multiple label match confidence thresholds. |
| type BoundingBoxMetricsEntry struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *BoundingBoxMetricsEntry) Reset() { |
| *x = BoundingBoxMetricsEntry{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *BoundingBoxMetricsEntry) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*BoundingBoxMetricsEntry) ProtoMessage() {} |
| |
| func (x *BoundingBoxMetricsEntry) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use BoundingBoxMetricsEntry.ProtoReflect.Descriptor instead. |
| func (*BoundingBoxMetricsEntry) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *BoundingBoxMetricsEntry) GetIouThreshold() float32 { |
| if x != nil { |
| return x.IouThreshold |
| } |
| return 0 |
| } |
| |
| func (x *BoundingBoxMetricsEntry) GetMeanAveragePrecision() float32 { |
| if x != nil { |
| return x.MeanAveragePrecision |
| } |
| return 0 |
| } |
| |
| func (x *BoundingBoxMetricsEntry) GetConfidenceMetricsEntries() []*BoundingBoxMetricsEntry_ConfidenceMetricsEntry { |
| if x != nil { |
| return x.ConfidenceMetricsEntries |
| } |
| return nil |
| } |
| |
| // Model evaluation metrics for image object detection problems. |
| // Evaluates prediction quality of labeled bounding boxes. |
| type ImageObjectDetectionEvaluationMetrics struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) Reset() { |
| *x = ImageObjectDetectionEvaluationMetrics{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ImageObjectDetectionEvaluationMetrics) ProtoMessage() {} |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[2] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use ImageObjectDetectionEvaluationMetrics.ProtoReflect.Descriptor instead. |
| func (*ImageObjectDetectionEvaluationMetrics) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) GetEvaluatedBoundingBoxCount() int32 { |
| if x != nil { |
| return x.EvaluatedBoundingBoxCount |
| } |
| return 0 |
| } |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMetricsEntries() []*BoundingBoxMetricsEntry { |
| if x != nil { |
| return x.BoundingBoxMetricsEntries |
| } |
| return nil |
| } |
| |
| func (x *ImageObjectDetectionEvaluationMetrics) GetBoundingBoxMeanAveragePrecision() float32 { |
| if x != nil { |
| return x.BoundingBoxMeanAveragePrecision |
| } |
| return 0 |
| } |
| |
| // Metrics for a single confidence threshold. |
| type BoundingBoxMetricsEntry_ConfidenceMetricsEntry struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // 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"` |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Reset() { |
| *x = BoundingBoxMetricsEntry_ConfidenceMetricsEntry{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) ProtoMessage() {} |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_automl_v1_detection_proto_msgTypes[3] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use BoundingBoxMetricsEntry_ConfidenceMetricsEntry.ProtoReflect.Descriptor instead. |
| func (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry) Descriptor() ([]byte, []int) { |
| return file_google_cloud_automl_v1_detection_proto_rawDescGZIP(), []int{1, 0} |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetConfidenceThreshold() float32 { |
| if x != nil { |
| return x.ConfidenceThreshold |
| } |
| return 0 |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetRecall() float32 { |
| if x != nil { |
| return x.Recall |
| } |
| return 0 |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetPrecision() float32 { |
| if x != nil { |
| return x.Precision |
| } |
| return 0 |
| } |
| |
| func (x *BoundingBoxMetricsEntry_ConfidenceMetricsEntry) GetF1Score() float32 { |
| if x != nil { |
| return x.F1Score |
| } |
| return 0 |
| } |
| |
| var File_google_cloud_automl_v1_detection_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_automl_v1_detection_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_automl_v1_detection_proto_rawDescOnce sync.Once |
| file_google_cloud_automl_v1_detection_proto_rawDescData = file_google_cloud_automl_v1_detection_proto_rawDesc |
| ) |
| |
| func file_google_cloud_automl_v1_detection_proto_rawDescGZIP() []byte { |
| file_google_cloud_automl_v1_detection_proto_rawDescOnce.Do(func() { |
| file_google_cloud_automl_v1_detection_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_detection_proto_rawDescData) |
| }) |
| return file_google_cloud_automl_v1_detection_proto_rawDescData |
| } |
| |
| var file_google_cloud_automl_v1_detection_proto_msgTypes = make([]protoimpl.MessageInfo, 4) |
| var file_google_cloud_automl_v1_detection_proto_goTypes = []interface{}{ |
| (*ImageObjectDetectionAnnotation)(nil), // 0: google.cloud.automl.v1.ImageObjectDetectionAnnotation |
| (*BoundingBoxMetricsEntry)(nil), // 1: google.cloud.automl.v1.BoundingBoxMetricsEntry |
| (*ImageObjectDetectionEvaluationMetrics)(nil), // 2: google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics |
| (*BoundingBoxMetricsEntry_ConfidenceMetricsEntry)(nil), // 3: google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry |
| (*BoundingPoly)(nil), // 4: google.cloud.automl.v1.BoundingPoly |
| } |
| var file_google_cloud_automl_v1_detection_proto_depIdxs = []int32{ |
| 4, // 0: google.cloud.automl.v1.ImageObjectDetectionAnnotation.bounding_box:type_name -> google.cloud.automl.v1.BoundingPoly |
| 3, // 1: google.cloud.automl.v1.BoundingBoxMetricsEntry.confidence_metrics_entries:type_name -> google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry |
| 1, // 2: google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.bounding_box_metrics_entries:type_name -> google.cloud.automl.v1.BoundingBoxMetricsEntry |
| 3, // [3:3] is the sub-list for method output_type |
| 3, // [3:3] is the sub-list for method input_type |
| 3, // [3:3] is the sub-list for extension type_name |
| 3, // [3:3] is the sub-list for extension extendee |
| 0, // [0:3] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_automl_v1_detection_proto_init() } |
| func file_google_cloud_automl_v1_detection_proto_init() { |
| if File_google_cloud_automl_v1_detection_proto != nil { |
| return |
| } |
| file_google_cloud_automl_v1_geometry_proto_init() |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_automl_v1_detection_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ImageObjectDetectionAnnotation); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_detection_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*BoundingBoxMetricsEntry); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_detection_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ImageObjectDetectionEvaluationMetrics); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_automl_v1_detection_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*BoundingBoxMetricsEntry_ConfidenceMetricsEntry); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_automl_v1_detection_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 4, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_automl_v1_detection_proto_goTypes, |
| DependencyIndexes: file_google_cloud_automl_v1_detection_proto_depIdxs, |
| MessageInfos: file_google_cloud_automl_v1_detection_proto_msgTypes, |
| }.Build() |
| File_google_cloud_automl_v1_detection_proto = out.File |
| file_google_cloud_automl_v1_detection_proto_rawDesc = nil |
| file_google_cloud_automl_v1_detection_proto_goTypes = nil |
| file_google_cloud_automl_v1_detection_proto_depIdxs = nil |
| } |
