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This commit is contained in:
landaiqing
2025-01-23 15:24:59 +08:00
parent c6af9a0461
commit fc95d73adb
27 changed files with 5117 additions and 269 deletions
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268
app/aisvc/rpc/pb/aisvc.pb.go
View File

@@ -20,6 +20,7 @@ const (
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// 人脸识别
type FaceRecognitionRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
@@ -78,7 +79,7 @@ type FaceRecognitionResponse struct {
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
FaceId int64 `protobuf:"varint,1,opt,name=face_id,json=faceId,proto3" json:"face_id,omitempty"`
FaceId int64 `protobuf:"varint,3,opt,name=face_id,json=faceId,proto3" json:"face_id,omitempty"`
}
func (x *FaceRecognitionResponse) Reset() {
@@ -118,6 +119,204 @@ func (x *FaceRecognitionResponse) GetFaceId() int64 {
return 0
}
// tf分类识别
type TfClassificationRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Image []byte `protobuf:"bytes,1,opt,name=image,proto3" json:"image,omitempty"`
}
func (x *TfClassificationRequest) Reset() {
*x = TfClassificationRequest{}
mi := &file_aisvc_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *TfClassificationRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*TfClassificationRequest) ProtoMessage() {}
func (x *TfClassificationRequest) ProtoReflect() protoreflect.Message {
mi := &file_aisvc_proto_msgTypes[2]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use TfClassificationRequest.ProtoReflect.Descriptor instead.
func (*TfClassificationRequest) Descriptor() ([]byte, []int) {
return file_aisvc_proto_rawDescGZIP(), []int{2}
}
func (x *TfClassificationRequest) GetImage() []byte {
if x != nil {
return x.Image
}
return nil
}
type TfClassificationResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
ClassName string `protobuf:"bytes,2,opt,name=class_name,json=className,proto3" json:"class_name,omitempty"`
Score float32 `protobuf:"fixed32,3,opt,name=score,proto3" json:"score,omitempty"`
}
func (x *TfClassificationResponse) Reset() {
*x = TfClassificationResponse{}
mi := &file_aisvc_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *TfClassificationResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*TfClassificationResponse) ProtoMessage() {}
func (x *TfClassificationResponse) ProtoReflect() protoreflect.Message {
mi := &file_aisvc_proto_msgTypes[3]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use TfClassificationResponse.ProtoReflect.Descriptor instead.
func (*TfClassificationResponse) Descriptor() ([]byte, []int) {
return file_aisvc_proto_rawDescGZIP(), []int{3}
}
func (x *TfClassificationResponse) GetClassName() string {
if x != nil {
return x.ClassName
}
return ""
}
func (x *TfClassificationResponse) GetScore() float32 {
if x != nil {
return x.Score
}
return 0
}
// caffe分类识别
type CaffeClassificationRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
Image []byte `protobuf:"bytes,1,opt,name=image,proto3" json:"image,omitempty"`
}
func (x *CaffeClassificationRequest) Reset() {
*x = CaffeClassificationRequest{}
mi := &file_aisvc_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *CaffeClassificationRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CaffeClassificationRequest) ProtoMessage() {}
func (x *CaffeClassificationRequest) ProtoReflect() protoreflect.Message {
mi := &file_aisvc_proto_msgTypes[4]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CaffeClassificationRequest.ProtoReflect.Descriptor instead.
func (*CaffeClassificationRequest) Descriptor() ([]byte, []int) {
return file_aisvc_proto_rawDescGZIP(), []int{4}
}
func (x *CaffeClassificationRequest) GetImage() []byte {
if x != nil {
return x.Image
}
return nil
}
type CaffeClassificationResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
ClassName string `protobuf:"bytes,2,opt,name=class_name,json=className,proto3" json:"class_name,omitempty"`
Score float32 `protobuf:"fixed32,3,opt,name=score,proto3" json:"score,omitempty"`
}
func (x *CaffeClassificationResponse) Reset() {
*x = CaffeClassificationResponse{}
mi := &file_aisvc_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
func (x *CaffeClassificationResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*CaffeClassificationResponse) ProtoMessage() {}
func (x *CaffeClassificationResponse) ProtoReflect() protoreflect.Message {
mi := &file_aisvc_proto_msgTypes[5]
if x != nil {
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
if ms.LoadMessageInfo() == nil {
ms.StoreMessageInfo(mi)
}
return ms
}
return mi.MessageOf(x)
}
// Deprecated: Use CaffeClassificationResponse.ProtoReflect.Descriptor instead.
func (*CaffeClassificationResponse) Descriptor() ([]byte, []int) {
return file_aisvc_proto_rawDescGZIP(), []int{5}
}
func (x *CaffeClassificationResponse) GetClassName() string {
if x != nil {
return x.ClassName
}
return ""
}
func (x *CaffeClassificationResponse) GetScore() float32 {
if x != nil {
return x.Score
}
return 0
}
var File_aisvc_proto protoreflect.FileDescriptor
var file_aisvc_proto_rawDesc = []byte{
@@ -128,15 +327,42 @@ var file_aisvc_proto_rawDesc = []byte{
0x17, 0x0a, 0x07, 0x75, 0x73, 0x65, 0x72, 0x5f, 0x69, 0x64, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09,
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}
var (
@@ -151,16 +377,24 @@ func file_aisvc_proto_rawDescGZIP() []byte {
return file_aisvc_proto_rawDescData
}
var file_aisvc_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_aisvc_proto_msgTypes = make([]protoimpl.MessageInfo, 6)
var file_aisvc_proto_goTypes = []any{
(*FaceRecognitionRequest)(nil), // 0: ai.FaceRecognitionRequest
(*FaceRecognitionResponse)(nil), // 1: ai.FaceRecognitionResponse
(*FaceRecognitionRequest)(nil), // 0: ai.FaceRecognitionRequest
(*FaceRecognitionResponse)(nil), // 1: ai.FaceRecognitionResponse
(*TfClassificationRequest)(nil), // 2: ai.TfClassificationRequest
(*TfClassificationResponse)(nil), // 3: ai.TfClassificationResponse
(*CaffeClassificationRequest)(nil), // 4: ai.CaffeClassificationRequest
(*CaffeClassificationResponse)(nil), // 5: ai.CaffeClassificationResponse
}
var file_aisvc_proto_depIdxs = []int32{
0, // 0: ai.AiService.FaceRecognition:input_type -> ai.FaceRecognitionRequest
1, // 1: ai.AiService.FaceRecognition:output_type -> ai.FaceRecognitionResponse
1, // [1:2] is the sub-list for method output_type
0, // [0:1] is the sub-list for method input_type
2, // 1: ai.AiService.TfClassification:input_type -> ai.TfClassificationRequest
4, // 2: ai.AiService.CaffeClassification:input_type -> ai.CaffeClassificationRequest
1, // 3: ai.AiService.FaceRecognition:output_type -> ai.FaceRecognitionResponse
3, // 4: ai.AiService.TfClassification:output_type -> ai.TfClassificationResponse
5, // 5: ai.AiService.CaffeClassification:output_type -> ai.CaffeClassificationResponse
3, // [3:6] is the sub-list for method output_type
0, // [0:3] is the sub-list for method input_type
0, // [0:0] is the sub-list for extension type_name
0, // [0:0] is the sub-list for extension extendee
0, // [0:0] is the sub-list for field type_name
@@ -177,7 +411,7 @@ func file_aisvc_proto_init() {
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_aisvc_proto_rawDesc,
NumEnums: 0,
NumMessages: 2,
NumMessages: 6,
NumExtensions: 0,
NumServices: 1,
},

82
app/aisvc/rpc/pb/aisvc_grpc.pb.go
View File

@@ -19,7 +19,9 @@ import (
const _ = grpc.SupportPackageIsVersion9
const (
AiService_FaceRecognition_FullMethodName = "/ai.AiService/FaceRecognition"
AiService_FaceRecognition_FullMethodName = "/ai.AiService/FaceRecognition"
AiService_TfClassification_FullMethodName = "/ai.AiService/TfClassification"
AiService_CaffeClassification_FullMethodName = "/ai.AiService/CaffeClassification"
)
// AiServiceClient is the client API for AiService service.
@@ -28,6 +30,10 @@ const (
type AiServiceClient interface {
// FaceRecognition
FaceRecognition(ctx context.Context, in *FaceRecognitionRequest, opts ...grpc.CallOption) (*FaceRecognitionResponse, error)
// TfClassification
TfClassification(ctx context.Context, in *TfClassificationRequest, opts ...grpc.CallOption) (*TfClassificationResponse, error)
// CaffeClassification
CaffeClassification(ctx context.Context, in *CaffeClassificationRequest, opts ...grpc.CallOption) (*CaffeClassificationResponse, error)
}
type aiServiceClient struct {
@@ -48,12 +54,36 @@ func (c *aiServiceClient) FaceRecognition(ctx context.Context, in *FaceRecogniti
return out, nil
}
func (c *aiServiceClient) TfClassification(ctx context.Context, in *TfClassificationRequest, opts ...grpc.CallOption) (*TfClassificationResponse, error) {
cOpts := append([]grpc.CallOption{grpc.StaticMethod()}, opts...)
out := new(TfClassificationResponse)
err := c.cc.Invoke(ctx, AiService_TfClassification_FullMethodName, in, out, cOpts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *aiServiceClient) CaffeClassification(ctx context.Context, in *CaffeClassificationRequest, opts ...grpc.CallOption) (*CaffeClassificationResponse, error) {
cOpts := append([]grpc.CallOption{grpc.StaticMethod()}, opts...)
out := new(CaffeClassificationResponse)
err := c.cc.Invoke(ctx, AiService_CaffeClassification_FullMethodName, in, out, cOpts...)
if err != nil {
return nil, err
}
return out, nil
}
// AiServiceServer is the server API for AiService service.
// All implementations must embed UnimplementedAiServiceServer
// for forward compatibility.
type AiServiceServer interface {
// FaceRecognition
FaceRecognition(context.Context, *FaceRecognitionRequest) (*FaceRecognitionResponse, error)
// TfClassification
TfClassification(context.Context, *TfClassificationRequest) (*TfClassificationResponse, error)
// CaffeClassification
CaffeClassification(context.Context, *CaffeClassificationRequest) (*CaffeClassificationResponse, error)
mustEmbedUnimplementedAiServiceServer()
}
@@ -67,6 +97,12 @@ type UnimplementedAiServiceServer struct{}
func (UnimplementedAiServiceServer) FaceRecognition(context.Context, *FaceRecognitionRequest) (*FaceRecognitionResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method FaceRecognition not implemented")
}
func (UnimplementedAiServiceServer) TfClassification(context.Context, *TfClassificationRequest) (*TfClassificationResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method TfClassification not implemented")
}
func (UnimplementedAiServiceServer) CaffeClassification(context.Context, *CaffeClassificationRequest) (*CaffeClassificationResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method CaffeClassification not implemented")
}
func (UnimplementedAiServiceServer) mustEmbedUnimplementedAiServiceServer() {}
func (UnimplementedAiServiceServer) testEmbeddedByValue() {}
@@ -106,6 +142,42 @@ func _AiService_FaceRecognition_Handler(srv interface{}, ctx context.Context, de
return interceptor(ctx, in, info, handler)
}
func _AiService_TfClassification_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(TfClassificationRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(AiServiceServer).TfClassification(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: AiService_TfClassification_FullMethodName,
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(AiServiceServer).TfClassification(ctx, req.(*TfClassificationRequest))
}
return interceptor(ctx, in, info, handler)
}
func _AiService_CaffeClassification_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(CaffeClassificationRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(AiServiceServer).CaffeClassification(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: AiService_CaffeClassification_FullMethodName,
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(AiServiceServer).CaffeClassification(ctx, req.(*CaffeClassificationRequest))
}
return interceptor(ctx, in, info, handler)
}
// AiService_ServiceDesc is the grpc.ServiceDesc for AiService service.
// It's only intended for direct use with grpc.RegisterService,
// and not to be introspected or modified (even as a copy)
@@ -117,6 +189,14 @@ var AiService_ServiceDesc = grpc.ServiceDesc{
MethodName: "FaceRecognition",
Handler: _AiService_FaceRecognition_Handler,
},
{
MethodName: "TfClassification",
Handler: _AiService_TfClassification_Handler,
},
{
MethodName: "CaffeClassification",
Handler: _AiService_CaffeClassification_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "aisvc.proto",