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video_object_tracking.pb.go
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/
video_object_tracking.pb.go
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// Copyright 2021 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 v1.25.0-devel
// protoc v3.13.0
// source: google/cloud/aiplatform/v1/schema/predict/params/video_object_tracking.proto
package params
import (
reflect "reflect"
sync "sync"
proto "github.com/golang/protobuf/proto"
_ "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
// Prediction model parameters for Video Object Tracking.
type VideoObjectTrackingPredictionParams struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The Model only returns predictions with at least this confidence score.
// Default value is 0.0
ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
// The model only returns up to that many top, by confidence score,
// predictions per frame of the video. If this number is very high, the
// Model may return fewer predictions per frame. Default value is 50.
MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
// Only bounding boxes with shortest edge at least that long as a relative
// value of video frame size are returned. Default value is 0.0.
MinBoundingBoxSize float32 `protobuf:"fixed32,3,opt,name=min_bounding_box_size,json=minBoundingBoxSize,proto3" json:"min_bounding_box_size,omitempty"`
}
func (x *VideoObjectTrackingPredictionParams) Reset() {
*x = VideoObjectTrackingPredictionParams{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *VideoObjectTrackingPredictionParams) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*VideoObjectTrackingPredictionParams) ProtoMessage() {}
func (x *VideoObjectTrackingPredictionParams) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_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 VideoObjectTrackingPredictionParams.ProtoReflect.Descriptor instead.
func (*VideoObjectTrackingPredictionParams) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescGZIP(), []int{0}
}
func (x *VideoObjectTrackingPredictionParams) GetConfidenceThreshold() float32 {
if x != nil {
return x.ConfidenceThreshold
}
return 0
}
func (x *VideoObjectTrackingPredictionParams) GetMaxPredictions() int32 {
if x != nil {
return x.MaxPredictions
}
return 0
}
func (x *VideoObjectTrackingPredictionParams) GetMinBoundingBoxSize() float32 {
if x != nil {
return x.MinBoundingBoxSize
}
return 0
}
var File_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescData = file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDesc
)
func file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDescData
}
var file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_goTypes = []interface{}{
(*VideoObjectTrackingPredictionParams)(nil), // 0: google.cloud.aiplatform.v1.schema.predict.params.VideoObjectTrackingPredictionParams
}
var file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_depIdxs = []int32{
0, // [0:0] is the sub-list for method output_type
0, // [0:0] 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
}
func init() { file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_init() }
func file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_init() {
if File_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*VideoObjectTrackingPredictionParams); 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_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDesc,
NumEnums: 0,
NumMessages: 1,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto = out.File
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_rawDesc = nil
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_goTypes = nil
file_google_cloud_aiplatform_v1_schema_predict_params_video_object_tracking_proto_depIdxs = nil
}