// 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 v1.26.0
// 	protoc        v3.12.2
// source: google/cloud/aiplatform/v1beta1/schema/predict/params/video_classification.proto

package params

import (
	reflect "reflect"
	sync "sync"

	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)
)

// Prediction model parameters for Video Classification.
type VideoClassificationPredictionParams 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 instance. If this number is very high, the Model may return
	// fewer predictions. Default value is 10,000.
	MaxPredictions int32 `protobuf:"varint,2,opt,name=max_predictions,json=maxPredictions,proto3" json:"max_predictions,omitempty"`
	// Set to true to request segment-level classification. Vertex AI returns
	// labels and their confidence scores for the entire time segment of the
	// video that user specified in the input instance.
	// Default value is true
	SegmentClassification bool `protobuf:"varint,3,opt,name=segment_classification,json=segmentClassification,proto3" json:"segment_classification,omitempty"`
	// Set to true to request shot-level classification. Vertex AI determines
	// the boundaries for each camera shot in the entire time segment of the
	// video that user specified in the input instance. Vertex AI then
	// returns labels and their confidence scores for each detected shot, along
	// with the start and end time of the shot.
	// WARNING: Model evaluation is not done for this classification type,
	// the quality of it depends on the training data, but there are no metrics
	// provided to describe that quality.
	// Default value is false
	ShotClassification bool `protobuf:"varint,4,opt,name=shot_classification,json=shotClassification,proto3" json:"shot_classification,omitempty"`
	// Set to true to request classification for a video at one-second intervals.
	// Vertex AI returns labels and their confidence scores for each second of
	// the entire time segment of the video that user specified in the input
	// WARNING: Model evaluation is not done for this classification type, the
	// quality of it depends on the training data, but there are no metrics
	// provided to describe that quality. Default value is false
	OneSecIntervalClassification bool `protobuf:"varint,5,opt,name=one_sec_interval_classification,json=oneSecIntervalClassification,proto3" json:"one_sec_interval_classification,omitempty"`
}

func (x *VideoClassificationPredictionParams) Reset() {
	*x = VideoClassificationPredictionParams{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *VideoClassificationPredictionParams) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*VideoClassificationPredictionParams) ProtoMessage() {}

func (x *VideoClassificationPredictionParams) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_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 VideoClassificationPredictionParams.ProtoReflect.Descriptor instead.
func (*VideoClassificationPredictionParams) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescGZIP(), []int{0}
}

func (x *VideoClassificationPredictionParams) GetConfidenceThreshold() float32 {
	if x != nil {
		return x.ConfidenceThreshold
	}
	return 0
}

func (x *VideoClassificationPredictionParams) GetMaxPredictions() int32 {
	if x != nil {
		return x.MaxPredictions
	}
	return 0
}

func (x *VideoClassificationPredictionParams) GetSegmentClassification() bool {
	if x != nil {
		return x.SegmentClassification
	}
	return false
}

func (x *VideoClassificationPredictionParams) GetShotClassification() bool {
	if x != nil {
		return x.ShotClassification
	}
	return false
}

func (x *VideoClassificationPredictionParams) GetOneSecIntervalClassification() bool {
	if x != nil {
		return x.OneSecIntervalClassification
	}
	return false
}

var File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto protoreflect.FileDescriptor

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var (
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_goTypes = []interface{}{
	(*VideoClassificationPredictionParams)(nil), // 0: google.cloud.aiplatform.v1beta1.schema.predict.params.VideoClassificationPredictionParams
}
var file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_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_v1beta1_schema_predict_params_video_classification_proto_init()
}
func file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto != nil {
		return
	}
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*VideoClassificationPredictionParams); 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_v1beta1_schema_predict_params_video_classification_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   1,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto = out.File
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_schema_predict_params_video_classification_proto_depIdxs = nil
}
