@azure/cognitiveservices-face - npm Package Compare versions

@azure/cognitiveservices-face

Package Overview

Dependencies

Maintainers

Advanced tools

Install Socket

Detect and block malicious and high-risk dependencies

Install

Comparing version 4.1.0 to 4.2.0

dist/cognitiveservices-face.min.js

		@@ -1,1 +0,1 @@
		!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@azure/ms-rest-js")):"function"==typeof define&&define.amd?define(["exports","@azure/ms-rest-js"],a):a(((e=e\|\|self).Azure=e.Azure\|\|{},e.Azure.CognitiveservicesFace={}),e.msRest)}(this,function(e,o){"use strict";var t=function(e,a){return(t=Object.setPrototypeOf\|\|{__proto__:[]}instanceof Array&&function(e,a){e.__proto__=a}\|\|function(e,a){for(var r in a)a.hasOwnProperty(r)&&(e[r]=a[r])})(e,a)};function a(e,a){function r(){this.constructor=e}t(e,a),e.prototype=null===a?Object.create(a):(r.prototype=a.prototype,new r)}var r=function(){return(r=Object.assign\|\|function(e){for(var a,r=1,t=arguments.length;r<t;r++)for(var s in a=arguments[r])Object.prototype.hasOwnProperty.call(a,s)&&(e[s]=a[s]);return e}).apply(this,arguments)},s=Object.freeze({__proto__:null}),i={serializedName:"Error",type:{name:"Composite",className:"ErrorModel",modelProperties:{code:{serializedName:"code",type:{name:"String"}},message:{serializedName:"message",type:{name:"String"}}}}},p={serializedName:"APIError",type:{name:"Composite",className:"APIError",modelProperties:{error:{serializedName:"error",type:{name:"Composite",className:"ErrorModel"}}}}},n={serializedName:"FaceRectangle",type:{name:"Composite",className:"FaceRectangle",modelProperties:{width:{required:!0,serializedName:"width",type:{name:"Number"}},height:{required:!0,serializedName:"height",type:{name:"Number"}},left:{required:!0,serializedName:"left",type:{name:"Number"}},top:{required:!0,serializedName:"top",type:{name:"Number"}}}}},d={serializedName:"Coordinate",type:{name:"Composite",className:"Coordinate",modelProperties:{x:{required:!0,serializedName:"x",type:{name:"Number"}},y:{required:!0,serializedName:"y",type:{name:"Number"}}}}},l={serializedName:"FaceLandmarks",type:{name:"Composite",className:"FaceLandmarks",modelProperties:{pupilLeft:{serializedName:"pupilLeft",type:{name:"Composite",className:"Coordinate"}},pupilRight:{serializedName:"pupilRight",type:{name:"Composite",className:"Coordinate"}},noseTip:{serializedName:"noseTip",type:{name:"Composite",className:"Coordinate"}},mouthLeft:{serializedName:"mouthLeft",type:{name:"Composite",className:"Coordinate"}},mouthRight:{serializedName:"mouthRight",type:{name:"Composite",className:"Coordinate"}},eyebrowLeftOuter:{serializedName:"eyebrowLeftOuter",type:{name:"Composite",className:"Coordinate"}},eyebrowLeftInner:{serializedName:"eyebrowLeftInner",type:{name:"Composite",className:"Coordinate"}},eyeLeftOuter:{serializedName:"eyeLeftOuter",type:{name:"Composite",className:"Coordinate"}},eyeLeftTop:{serializedName:"eyeLeftTop",type:{name:"Composite",className:"Coordinate"}},eyeLeftBottom:{serializedName:"eyeLeftBottom",type:{name:"Composite",className:"Coordinate"}},eyeLeftInner:{serializedName:"eyeLeftInner",type:{name:"Composite",className:"Coordinate"}},eyebrowRightInner:{serializedName:"eyebrowRightInner",type:{name:"Composite",className:"Coordinate"}},eyebrowRightOuter:{serializedName:"eyebrowRightOuter",type:{name:"Composite",className:"Coordinate"}},eyeRightInner:{serializedName:"eyeRightInner",type:{name:"Composite",className:"Coordinate"}},eyeRightTop:{serializedName:"eyeRightTop",type:{name:"Composite",className:"Coordinate"}},eyeRightBottom:{serializedName:"eyeRightBottom",type:{name:"Composite",className:"Coordinate"}},eyeRightOuter:{serializedName:"eyeRightOuter",type:{name:"Composite",className:"Coordinate"}},noseRootLeft:{serializedName:"noseRootLeft",type:{name:"Composite",className:"Coordinate"}},noseRootRight:{serializedName:"noseRootRight",type:{name:"Composite",className:"Coordinate"}},noseLeftAlarTop:{serializedName:"noseLeftAlarTop",type:{name:"Composite",className:"Coordinate"}},noseRightAlarTop:{serializedName:"noseRightAlarTop",type:{name:"Composite",className:"Coordinate"}},noseLeftAlarOutTip:{serializedName:"noseLeftAlarOutTip",type:{name:"Composite",className:"Coordinate"}},noseRightAlarOutTip:{serializedName:"noseRightAlarOutTip",type:{name:"Composite",className:"Coordinate"}},upperLipTop:{serializedName:"upperLipTop",type:{name:"Composite",className:"Coordinate"}},upperLipBottom:{serializedName:"upperLipBottom",type:{name:"Composite",className:"Coordinate"}},underLipTop:{serializedName:"underLipTop",type:{name:"Composite",className:"Coordinate"}},underLipBottom:{serializedName:"underLipBottom",type:{name:"Composite",className:"Coordinate"}}}}},m={serializedName:"FacialHair",type:{name:"Composite",className:"FacialHair",modelProperties:{moustache:{nullable:!1,serializedName:"moustache",type:{name:"Number"}},beard:{nullable:!1,serializedName:"beard",type:{name:"Number"}},sideburns:{nullable:!1,serializedName:"sideburns",type:{name:"Number"}}}}},u={serializedName:"HeadPose",type:{name:"Composite",className:"HeadPose",modelProperties:{roll:{nullable:!1,serializedName:"roll",type:{name:"Number"}},yaw:{nullable:!1,serializedName:"yaw",type:{name:"Number"}},pitch:{nullable:!1,serializedName:"pitch",type:{name:"Number"}}}}},c={serializedName:"Emotion",type:{name:"Composite",className:"Emotion",modelProperties:{anger:{nullable:!1,serializedName:"anger",type:{name:"Number"}},contempt:{nullable:!1,serializedName:"contempt",type:{name:"Number"}},disgust:{nullable:!1,serializedName:"disgust",type:{name:"Number"}},fear:{nullable:!1,serializedName:"fear",type:{name:"Number"}},happiness:{nullable:!1,serializedName:"happiness",type:{name:"Number"}},neutral:{nullable:!1,serializedName:"neutral",type:{name:"Number"}},sadness:{nullable:!1,serializedName:"sadness",type:{name:"Number"}},surprise:{nullable:!1,serializedName:"surprise",type:{name:"Number"}}}}},y={serializedName:"HairColor",type:{name:"Composite",className:"HairColor",modelProperties:{color:{nullable:!1,serializedName:"color",type:{name:"Enum",allowedValues:["unknown","white","gray","blond","brown","red","black","other"]}},confidence:{nullable:!1,serializedName:"confidence",type:{name:"Number"}}}}},h={serializedName:"Hair",type:{name:"Composite",className:"Hair",modelProperties:{bald:{nullable:!1,serializedName:"bald",type:{name:"Number"}},invisible:{nullable:!1,serializedName:"invisible",type:{name:"Boolean"}},hairColor:{serializedName:"hairColor",type:{name:"Sequence",element:{type:{name:"Composite",className:"HairColor"}}}}}}},N={serializedName:"Makeup",type:{name:"Composite",className:"Makeup",modelProperties:{eyeMakeup:{nullable:!1,serializedName:"eyeMakeup",type:{name:"Boolean"}},lipMakeup:{nullable:!1,serializedName:"lipMakeup",type:{name:"Boolean"}}}}},f={serializedName:"Occlusion",type:{name:"Composite",className:"Occlusion",modelProperties:{foreheadOccluded:{nullable:!1,serializedName:"foreheadOccluded",type:{name:"Boolean"}},eyeOccluded:{nullable:!1,serializedName:"eyeOccluded",type:{name:"Boolean"}},mouthOccluded:{nullable:!1,serializedName:"mouthOccluded",type:{name:"Boolean"}}}}},g={serializedName:"Accessory",type:{name:"Composite",className:"Accessory",modelProperties:{type:{nullable:!1,serializedName:"type",type:{name:"Enum",allowedValues:["headWear","glasses","mask"]}},confidence:{nullable:!1,serializedName:"confidence",type:{name:"Number"}}}}},P={serializedName:"Blur",type:{name:"Composite",className:"Blur",modelProperties:{blurLevel:{nullable:!1,serializedName:"blurLevel",type:{name:"Enum",allowedValues:["Low","Medium","High"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},z={serializedName:"Exposure",type:{name:"Composite",className:"Exposure",modelProperties:{exposureLevel:{nullable:!1,serializedName:"exposureLevel",type:{name:"Enum",allowedValues:["UnderExposure","GoodExposure","OverExposure"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},I={serializedName:"Noise",type:{name:"Composite",className:"Noise",modelProperties:{noiseLevel:{nullable:!1,serializedName:"noiseLevel",type:{name:"Enum",allowedValues:["Low","Medium","High"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},q={serializedName:"FaceAttributes",type:{name:"Composite",className:"FaceAttributes",modelProperties:{age:{serializedName:"age",type:{name:"Number"}},gender:{serializedName:"gender",type:{name:"Enum",allowedValues:["male","female"]}},smile:{serializedName:"smile",type:{name:"Number"}},facialHair:{serializedName:"facialHair",type:{name:"Composite",className:"FacialHair"}},glasses:{serializedName:"glasses",type:{name:"Enum",allowedValues:["noGlasses","readingGlasses","sunglasses","swimmingGoggles"]}},headPose:{serializedName:"headPose",type:{name:"Composite",className:"HeadPose"}},emotion:{serializedName:"emotion",type:{name:"Composite",className:"Emotion"}},hair:{serializedName:"hair",type:{name:"Composite",className:"Hair"}},makeup:{serializedName:"makeup",type:{name:"Composite",className:"Makeup"}},occlusion:{serializedName:"occlusion",type:{name:"Composite",className:"Occlusion"}},accessories:{serializedName:"accessories",type:{name:"Sequence",element:{type:{name:"Composite",className:"Accessory"}}}},blur:{serializedName:"blur",type:{name:"Composite",className:"Blur"}},exposure:{serializedName:"exposure",type:{name:"Composite",className:"Exposure"}},noise:{serializedName:"noise",type:{name:"Composite",className:"Noise"}}}}},M={serializedName:"DetectedFace",type:{name:"Composite",className:"DetectedFace",modelProperties:{faceId:{serializedName:"faceId",type:{name:"Uuid"}},recognitionModel:{nullable:!1,serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}},faceRectangle:{required:!0,serializedName:"faceRectangle",type:{name:"Composite",className:"FaceRectangle"}},faceLandmarks:{serializedName:"faceLandmarks",type:{name:"Composite",className:"FaceLandmarks"}},faceAttributes:{serializedName:"faceAttributes",type:{name:"Composite",className:"FaceAttributes"}}}}},b={serializedName:"FindSimilarRequest",type:{name:"Composite",className:"FindSimilarRequest",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},faceListId:{serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largeFaceListId:{serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},faceIds:{serializedName:"faceIds",constraints:{MaxItems:1e3},type:{name:"Sequence",element:{type:{name:"Uuid"}}}},maxNumOfCandidatesReturned:{serializedName:"maxNumOfCandidatesReturned",defaultValue:20,constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}},mode:{nullable:!1,serializedName:"mode",defaultValue:"matchPerson",type:{name:"Enum",allowedValues:["matchPerson","matchFace"]}}}}},F={serializedName:"SimilarFace",type:{name:"Composite",className:"SimilarFace",modelProperties:{faceId:{serializedName:"faceId",type:{name:"Uuid"}},persistedFaceId:{serializedName:"persistedFaceId",type:{name:"Uuid"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},L={serializedName:"GroupRequest",type:{name:"Composite",className:"GroupRequest",modelProperties:{faceIds:{required:!0,serializedName:"faceIds",constraints:{MaxItems:1e3},type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}}},C={serializedName:"GroupResult",type:{name:"Composite",className:"GroupResult",modelProperties:{groups:{required:!0,serializedName:"groups",type:{name:"Sequence",element:{type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}},messyGroup:{serializedName:"messyGroup",type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}}},R={serializedName:"IdentifyRequest",type:{name:"Composite",className:"IdentifyRequest",modelProperties:{faceIds:{required:!0,serializedName:"faceIds",constraints:{MaxItems:10},type:{name:"Sequence",element:{type:{name:"Uuid"}}}},personGroupId:{serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largePersonGroupId:{serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},maxNumOfCandidatesReturned:{serializedName:"maxNumOfCandidatesReturned",defaultValue:1,constraints:{InclusiveMaximum:5,InclusiveMinimum:1},type:{name:"Number"}},confidenceThreshold:{serializedName:"confidenceThreshold",type:{name:"Number"}}}}},S={serializedName:"IdentifyCandidate",type:{name:"Composite",className:"IdentifyCandidate",modelProperties:{personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},G={serializedName:"IdentifyResult",type:{name:"Composite",className:"IdentifyResult",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},candidates:{required:!0,serializedName:"candidates",type:{name:"Sequence",element:{type:{name:"Composite",className:"IdentifyCandidate"}}}}}}},O={serializedName:"VerifyFaceToPersonRequest",type:{name:"Composite",className:"VerifyFaceToPersonRequest",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},personGroupId:{serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largePersonGroupId:{serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}}}}},T={serializedName:"VerifyFaceToFaceRequest",type:{name:"Composite",className:"VerifyFaceToFaceRequest",modelProperties:{faceId1:{required:!0,serializedName:"faceId1",type:{name:"Uuid"}},faceId2:{required:!0,serializedName:"faceId2",type:{name:"Uuid"}}}}},E={serializedName:"VerifyResult",type:{name:"Composite",className:"VerifyResult",modelProperties:{isIdentical:{required:!0,serializedName:"isIdentical",type:{name:"Boolean"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},D={serializedName:"PersistedFace",type:{name:"Composite",className:"PersistedFace",modelProperties:{persistedFaceId:{required:!0,serializedName:"persistedFaceId",type:{name:"Uuid"}},userData:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}}}},A={serializedName:"NameAndUserDataContract",type:{name:"Composite",className:"NameAndUserDataContract",modelProperties:{name:{serializedName:"name",constraints:{MaxLength:128},type:{name:"String"}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},_={serializedName:"MetaDataContract",type:{name:"Composite",className:"MetaDataContract",modelProperties:r(r({},A.type.modelProperties),{recognitionModel:{nullable:!1,serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}}})}},U={serializedName:"FaceList",type:{name:"Composite",className:"FaceList",modelProperties:r(r({},_.type.modelProperties),{faceListId:{required:!0,serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},persistedFaces:{serializedName:"persistedFaces",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersistedFace"}}}}})}},x={serializedName:"PersonGroup",type:{name:"Composite",className:"PersonGroup",modelProperties:r(r({},_.type.modelProperties),{personGroupId:{required:!0,serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},w={serializedName:"Person",type:{name:"Composite",className:"Person",modelProperties:r(r({},A.type.modelProperties),{personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}},persistedFaceIds:{serializedName:"persistedFaceIds",type:{name:"Sequence",element:{type:{name:"Uuid"}}}}})}},B={serializedName:"LargeFaceList",type:{name:"Composite",className:"LargeFaceList",modelProperties:r(r({},_.type.modelProperties),{largeFaceListId:{required:!0,serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},v={serializedName:"LargePersonGroup",type:{name:"Composite",className:"LargePersonGroup",modelProperties:r(r({},_.type.modelProperties),{largePersonGroupId:{required:!0,serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},H={serializedName:"UpdateFaceRequest",type:{name:"Composite",className:"UpdateFaceRequest",modelProperties:{userData:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}}}},V={serializedName:"TrainingStatus",type:{name:"Composite",className:"TrainingStatus",modelProperties:{status:{required:!0,serializedName:"status",type:{name:"Enum",allowedValues:["nonstarted","running","succeeded","failed"]}},created:{required:!0,serializedName:"createdDateTime",type:{name:"DateTime"}},lastAction:{serializedName:"lastActionDateTime",type:{name:"DateTime"}},lastSuccessfulTraining:{serializedName:"lastSuccessfulTrainingDateTime",type:{name:"DateTime"}},message:{serializedName:"message",type:{name:"String"}}}}},k={serializedName:"ApplySnapshotRequest",type:{name:"Composite",className:"ApplySnapshotRequest",modelProperties:{objectId:{required:!0,serializedName:"objectId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},mode:{nullable:!1,serializedName:"mode",defaultValue:"CreateNew",type:{name:"Enum",allowedValues:["CreateNew"]}}}}},j={serializedName:"Snapshot",type:{name:"Composite",className:"Snapshot",modelProperties:{id:{required:!0,serializedName:"id",type:{name:"Uuid"}},account:{required:!0,serializedName:"account",type:{name:"String"}},type:{required:!0,serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}},applyScope:{required:!0,serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}},createdTime:{required:!0,serializedName:"createdTime",type:{name:"DateTime"}},lastUpdateTime:{required:!0,serializedName:"lastUpdateTime",type:{name:"DateTime"}}}}},$={serializedName:"TakeSnapshotRequest",type:{name:"Composite",className:"TakeSnapshotRequest",modelProperties:{type:{required:!0,serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}},objectId:{required:!0,serializedName:"objectId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},applyScope:{required:!0,serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},Q={serializedName:"UpdateSnapshotRequest",type:{name:"Composite",className:"UpdateSnapshotRequest",modelProperties:{applyScope:{serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},W={serializedName:"OperationStatus",type:{name:"Composite",className:"OperationStatus",modelProperties:{status:{required:!0,serializedName:"status",type:{name:"Enum",allowedValues:["notstarted","running","succeeded","failed"]}},createdTime:{required:!0,serializedName:"createdTime",type:{name:"DateTime"}},lastActionTime:{serializedName:"lastActionTime",type:{name:"DateTime"}},resourceLocation:{serializedName:"resourceLocation",type:{name:"String"}},message:{serializedName:"message",type:{name:"String"}}}}},J={serializedName:"ImageUrl",type:{name:"Composite",className:"ImageUrl",modelProperties:{url:{required:!0,serializedName:"url",type:{name:"String"}}}}},K={serializedName:"snapshot-take-headers",type:{name:"Composite",className:"SnapshotTakeHeaders",modelProperties:{operationLocation:{serializedName:"operation-location",type:{name:"String"}}}}},X={serializedName:"snapshot-apply-headers",type:{name:"Composite",className:"SnapshotApplyHeaders",modelProperties:{operationLocation:{serializedName:"operation-location",type:{name:"String"}}}}},Y=Object.freeze({__proto__:null,ErrorModel:i,APIError:p,FaceRectangle:n,Coordinate:d,FaceLandmarks:l,FacialHair:m,HeadPose:u,Emotion:c,HairColor:y,Hair:h,Makeup:N,Occlusion:f,Accessory:g,Blur:P,Exposure:z,Noise:I,FaceAttributes:q,DetectedFace:M,FindSimilarRequest:b,SimilarFace:F,GroupRequest:L,GroupResult:C,IdentifyRequest:R,IdentifyCandidate:S,IdentifyResult:G,VerifyFaceToPersonRequest:O,VerifyFaceToFaceRequest:T,VerifyResult:E,PersistedFace:D,NameAndUserDataContract:A,MetaDataContract:_,FaceList:U,PersonGroup:x,Person:w,LargeFaceList:B,LargePersonGroup:v,UpdateFaceRequest:H,TrainingStatus:V,ApplySnapshotRequest:k,Snapshot:j,TakeSnapshotRequest:$,UpdateSnapshotRequest:Q,OperationStatus:W,ImageUrl:J,SnapshotTakeHeaders:K,SnapshotApplyHeaders:X}),Z=Object.freeze({__proto__:null,Accessory:g,APIError:p,Blur:P,Coordinate:d,DetectedFace:M,Emotion:c,ErrorModel:i,Exposure:z,FaceAttributes:q,FaceLandmarks:l,FaceRectangle:n,FacialHair:m,FindSimilarRequest:b,GroupRequest:L,GroupResult:C,Hair:h,HairColor:y,HeadPose:u,IdentifyCandidate:S,IdentifyRequest:R,IdentifyResult:G,ImageUrl:J,Makeup:N,Noise:I,Occlusion:f,SimilarFace:F,VerifyFaceToFaceRequest:T,VerifyFaceToPersonRequest:O,VerifyResult:E}),ee={parameterPath:["options","applyScope"],mapper:{serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},collectionFormat:o.QueryCollectionFormat.Csv},ae={parameterPath:["options","detectionModel"],mapper:{serializedName:"detectionModel",defaultValue:"detection_01",type:{name:"String"}}},re={parameterPath:"endpoint",mapper:{required:!0,serializedName:"Endpoint",defaultValue:"",type:{name:"String"}},skipEncoding:!0},te={parameterPath:"faceListId",mapper:{required:!0,serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},se={parameterPath:"largeFaceListId",mapper:{required:!0,serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},oe={parameterPath:"largePersonGroupId",mapper:{required:!0,serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},ie={parameterPath:"persistedFaceId",mapper:{required:!0,serializedName:"persistedFaceId",type:{name:"Uuid"}}},pe={parameterPath:"personGroupId",mapper:{required:!0,serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},ne={parameterPath:"personId",mapper:{required:!0,serializedName:"personId",type:{name:"Uuid"}}},de={parameterPath:["options","recognitionModel"],mapper:{serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}}},le={parameterPath:["options","returnFaceAttributes"],mapper:{serializedName:"returnFaceAttributes",type:{name:"Sequence",element:{type:{name:"Enum",allowedValues:["age","gender","headPose","smile","facialHair","glasses","emotion","hair","makeup","occlusion","accessories","blur","exposure","noise"]}}}},collectionFormat:o.QueryCollectionFormat.Csv},me={parameterPath:["options","returnFaceId"],mapper:{serializedName:"returnFaceId",defaultValue:!0,type:{name:"Boolean"}}},ue={parameterPath:["options","returnFaceLandmarks"],mapper:{serializedName:"returnFaceLandmarks",defaultValue:!1,type:{name:"Boolean"}}},ce={parameterPath:["options","returnRecognitionModel"],mapper:{serializedName:"returnRecognitionModel",defaultValue:!1,type:{name:"Boolean"}}},ye={parameterPath:"snapshotId",mapper:{required:!0,serializedName:"snapshotId",type:{name:"Uuid"}}},he={parameterPath:["options","start"],mapper:{serializedName:"start",type:{name:"String"}}},Ne={parameterPath:["options","start"],mapper:{serializedName:"start",constraints:{MaxLength:64},type:{name:"String"}}},fe={parameterPath:["options","targetFace"],mapper:{serializedName:"targetFace",type:{name:"Sequence",element:{type:{name:"Number"}}}},collectionFormat:o.QueryCollectionFormat.Csv},ge={parameterPath:["options","top"],mapper:{serializedName:"top",constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}}},Pe={parameterPath:["options","top"],mapper:{serializedName:"top",defaultValue:1e3,constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}}},ze={parameterPath:["options","userData"],mapper:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}},Ie=(qe.prototype.findSimilar=function(e,a,r){return this.client.sendOperationRequest({faceId:e,options:a},be,r)},qe.prototype.group=function(e,a,r){return this.client.sendOperationRequest({faceIds:e,options:a},Fe,r)},qe.prototype.identify=function(e,a,r){return this.client.sendOperationRequest({faceIds:e,options:a},Le,r)},qe.prototype.verifyFaceToFace=function(e,a,r,t){return this.client.sendOperationRequest({faceId1:e,faceId2:a,options:r},Ce,t)},qe.prototype.detectWithUrl=function(e,a,r){return this.client.sendOperationRequest({url:e,options:a},Re,r)},qe.prototype.verifyFaceToPerson=function(e,a,r,t){return this.client.sendOperationRequest({faceId:e,personId:a,options:r},Se,t)},qe.prototype.detectWithStream=function(e,a,r){return this.client.sendOperationRequest({image:e,options:a},Ge,r)},qe);function qe(e){this.client=e}var Me=new o.Serializer(Z),be={httpMethod:"POST",path:"findsimilars",urlParameters:[re],requestBody:{parameterPath:{faceId:"faceId",faceListId:["options","faceListId"],largeFaceListId:["options","largeFaceListId"],faceIds:["options","faceIds"],maxNumOfCandidatesReturned:["options","maxNumOfCandidatesReturned"],mode:["options","mode"]},mapper:r(r({},b),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"SimilarFace"}}}}},default:{bodyMapper:p}},serializer:Me},Fe={httpMethod:"POST",path:"group",urlParameters:[re],requestBody:{parameterPath:{faceIds:"faceIds"},mapper:r(r({},L),{required:!0})},responses:{200:{bodyMapper:C},default:{bodyMapper:p}},serializer:Me},Le={httpMethod:"POST",path:"identify",urlParameters:[re],requestBody:{parameterPath:{faceIds:"faceIds",personGroupId:["options","personGroupId"],largePersonGroupId:["options","largePersonGroupId"],maxNumOfCandidatesReturned:["options","maxNumOfCandidatesReturned"],confidenceThreshold:["options","confidenceThreshold"]},mapper:r(r({},R),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"IdentifyResult"}}}}},default:{bodyMapper:p}},serializer:Me},Ce={httpMethod:"POST",path:"verify",urlParameters:[re],requestBody:{parameterPath:{faceId1:"faceId1",faceId2:"faceId2"},mapper:r(r({},T),{required:!0})},responses:{200:{bodyMapper:E},default:{bodyMapper:p}},serializer:Me},Re={httpMethod:"POST",path:"detect",urlParameters:[re],queryParameters:[me,ue,le,de,ce,ae],requestBody:{parameterPath:{url:"url"},mapper:r(r({},J),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"DetectedFace"}}}}},default:{bodyMapper:p}},serializer:Me},Se={httpMethod:"POST",path:"verify",urlParameters:[re],requestBody:{parameterPath:{faceId:"faceId",personGroupId:["options","personGroupId"],largePersonGroupId:["options","largePersonGroupId"],personId:"personId"},mapper:r(r({},O),{required:!0})},responses:{200:{bodyMapper:E},default:{bodyMapper:p}},serializer:Me},Ge={httpMethod:"POST",path:"detect",urlParameters:[re],queryParameters:[me,ue,le,de,ce,ae],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"DetectedFace"}}}}},default:{bodyMapper:p}},serializer:Me},Oe=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,ImageUrl:J,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x,UpdateFaceRequest:H}),Te=(Ee.prototype.create=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ae,r)},Ee.prototype.list=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},_e,r)},Ee.prototype.deleteMethod=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},Ue,t)},Ee.prototype.get=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},xe,t)},Ee.prototype.update=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},we,t)},Ee.prototype.deleteFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},Be,s)},Ee.prototype.getFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},ve,s)},Ee.prototype.updateFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},He,s)},Ee.prototype.addFaceFromUrl=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,url:r,options:t},Ve,s)},Ee.prototype.addFaceFromStream=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,image:r,options:t},ke,s)},Ee);function Ee(e){this.client=e}var De=new o.Serializer(Oe),Ae={httpMethod:"POST",path:"persongroups/{personGroupId}/persons",urlParameters:[re,pe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{bodyMapper:w},default:{bodyMapper:p}},serializer:De},_e={httpMethod:"GET",path:"persongroups/{personGroupId}/persons",urlParameters:[re,pe],queryParameters:[he,ge],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Person"}}}}},default:{bodyMapper:p}},serializer:De},Ue={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],responses:{200:{},default:{bodyMapper:p}},serializer:De},xe={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],responses:{200:{bodyMapper:w},default:{bodyMapper:p}},serializer:De},we={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:De},Be={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],responses:{200:{},default:{bodyMapper:p}},serializer:De},ve={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:De},He={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},H),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:De},Ve={httpMethod:"POST",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces",urlParameters:[re,pe,ne],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r(r({},J),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:De},ke={httpMethod:"POST",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces",urlParameters:[re,pe,ne],queryParameters:[ze,fe,ae],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:De},je=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x,TrainingStatus:V}),$e=(Qe.prototype.create=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Je,r)},Qe.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ke,r)},Qe.prototype.get=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Xe,r)},Qe.prototype.update=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ye,r)},Qe.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ze,r)},Qe.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},ea,a)},Qe.prototype.train=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},aa,r)},Qe);function Qe(e){this.client=e}var We=new o.Serializer(je),Je={httpMethod:"PUT",path:"persongroups/{personGroupId}",urlParameters:[re,pe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:We},Ke={httpMethod:"DELETE",path:"persongroups/{personGroupId}",urlParameters:[re,pe],responses:{200:{},default:{bodyMapper:p}},serializer:We},Xe={httpMethod:"GET",path:"persongroups/{personGroupId}",urlParameters:[re,pe],queryParameters:[ce],responses:{200:{bodyMapper:x},default:{bodyMapper:p}},serializer:We},Ye={httpMethod:"PATCH",path:"persongroups/{personGroupId}",urlParameters:[re,pe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:We},Ze={httpMethod:"GET",path:"persongroups/{personGroupId}/training",urlParameters:[re,pe],responses:{200:{bodyMapper:V},default:{bodyMapper:p}},serializer:We},ea={httpMethod:"GET",path:"persongroups",urlParameters:[re],queryParameters:[Ne,Pe,ce],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersonGroup"}}}}},default:{bodyMapper:p}},serializer:We},aa={httpMethod:"POST",path:"persongroups/{personGroupId}/train",urlParameters:[re,pe],responses:{202:{},default:{bodyMapper:p}},serializer:We},ra=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,ImageUrl:J,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x}),ta=(sa.prototype.create=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},ia,r)},sa.prototype.get=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},pa,r)},sa.prototype.update=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},na,r)},sa.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},da,r)},sa.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},la,a)},sa.prototype.deleteFace=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,persistedFaceId:a,options:r},ma,t)},sa.prototype.addFaceFromUrl=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,url:a,options:r},ua,t)},sa.prototype.addFaceFromStream=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,image:a,options:r},ca,t)},sa);function sa(e){this.client=e}var oa=new o.Serializer(ra),ia={httpMethod:"PUT",path:"facelists/{faceListId}",urlParameters:[re,te],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:oa},pa={httpMethod:"GET",path:"facelists/{faceListId}",urlParameters:[re,te],queryParameters:[ce],responses:{200:{bodyMapper:U},default:{bodyMapper:p}},serializer:oa},na={httpMethod:"PATCH",path:"facelists/{faceListId}",urlParameters:[re,te],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:oa},da={httpMethod:"DELETE",path:"facelists/{faceListId}",urlParameters:[re,te],responses:{200:{},default:{bodyMapper:p}},serializer:oa},la={httpMethod:"GET",path:"facelists",urlParameters:[re],queryParameters:[ce],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"FaceList"}}}}},default:{bodyMapper:p}},serializer:oa},ma={httpMethod:"DELETE",path:"facelists/{faceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,te,ie],responses:{200:{},default:{bodyMapper:p}},serializer:oa},ua={httpMethod:"POST",path:"facelists/{faceListId}/persistedfaces",urlParameters:[re,te],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r(r({},J),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:oa},ca={httpMethod:"POST",path:"facelists/{faceListId}/persistedfaces",urlParameters:[re,te],queryParameters:[ze,fe,ae],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:oa},ya=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,ImageUrl:J,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x,UpdateFaceRequest:H}),ha=(Na.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},ga,r)},Na.prototype.list=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},Pa,r)},Na.prototype.deleteMethod=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},za,t)},Na.prototype.get=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},Ia,t)},Na.prototype.update=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},qa,t)},Na.prototype.deleteFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},Ma,s)},Na.prototype.getFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},ba,s)},Na.prototype.updateFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},Fa,s)},Na.prototype.addFaceFromUrl=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,url:r,options:t},La,s)},Na.prototype.addFaceFromStream=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,image:r,options:t},Ca,s)},Na);function Na(e){this.client=e}var fa=new o.Serializer(ya),ga={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons",urlParameters:[re,oe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{bodyMapper:w},default:{bodyMapper:p}},serializer:fa},Pa={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons",urlParameters:[re,oe],queryParameters:[he,ge],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Person"}}}}},default:{bodyMapper:p}},serializer:fa},za={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[re,oe,ne],responses:{200:{},default:{bodyMapper:p}},serializer:fa},Ia={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[re,oe,ne],responses:{200:{bodyMapper:w},default:{bodyMapper:p}},serializer:fa},qa={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[re,oe,ne],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:fa},Ma={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,oe,ne,ie],responses:{200:{},default:{bodyMapper:p}},serializer:fa},ba={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,oe,ne,ie],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:fa},Fa={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,oe,ne,ie],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},H),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:fa},La={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces",urlParameters:[re,oe,ne],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r(r({},J),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:fa},Ca={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces",urlParameters:[re,oe,ne],queryParameters:[ze,fe,ae],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:fa},Ra=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x,TrainingStatus:V}),Sa=(Ga.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},Ta,r)},Ga.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},Ea,r)},Ga.prototype.get=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},Da,r)},Ga.prototype.update=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},Aa,r)},Ga.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},_a,r)},Ga.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Ua,a)},Ga.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},xa,r)},Ga);function Ga(e){this.client=e}var Oa=new o.Serializer(Ra),Ta={httpMethod:"PUT",path:"largepersongroups/{largePersonGroupId}",urlParameters:[re,oe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Oa},Ea={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}",urlParameters:[re,oe],responses:{200:{},default:{bodyMapper:p}},serializer:Oa},Da={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}",urlParameters:[re,oe],queryParameters:[ce],responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:Oa},Aa={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}",urlParameters:[re,oe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Oa},_a={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/training",urlParameters:[re,oe],responses:{200:{bodyMapper:V},default:{bodyMapper:p}},serializer:Oa},Ua={httpMethod:"GET",path:"largepersongroups",urlParameters:[re],queryParameters:[Ne,Pe,ce],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"LargePersonGroup"}}}}},default:{bodyMapper:p}},serializer:Oa},xa={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/train",urlParameters:[re,oe],responses:{202:{},default:{bodyMapper:p}},serializer:Oa},wa=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:U,ImageUrl:J,LargeFaceList:B,LargePersonGroup:v,MetaDataContract:_,NameAndUserDataContract:A,PersistedFace:D,Person:w,PersonGroup:x,TrainingStatus:V,UpdateFaceRequest:H}),Ba=(va.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Va,r)},va.prototype.get=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ka,r)},va.prototype.update=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ja,r)},va.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},$a,r)},va.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Qa,r)},va.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Wa,a)},va.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Ja,r)},va.prototype.deleteFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Ka,t)},va.prototype.getFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Xa,t)},va.prototype.updateFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Ya,t)},va.prototype.addFaceFromUrl=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,url:a,options:r},Za,t)},va.prototype.listFaces=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},er,r)},va.prototype.addFaceFromStream=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,image:a,options:r},ar,t)},va);function va(e){this.client=e}var Ha=new o.Serializer(wa),Va={httpMethod:"PUT",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Ha},ka={httpMethod:"GET",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],queryParameters:[ce],responses:{200:{bodyMapper:B},default:{bodyMapper:p}},serializer:Ha},ja={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},A),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Ha},$a={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],responses:{200:{},default:{bodyMapper:p}},serializer:Ha},Qa={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/training",urlParameters:[re,se],responses:{200:{bodyMapper:V},default:{bodyMapper:p}},serializer:Ha},Wa={httpMethod:"GET",path:"largefacelists",urlParameters:[re],queryParameters:[ce],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"LargeFaceList"}}}}},default:{bodyMapper:p}},serializer:Ha},Ja={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/train",urlParameters:[re,se],responses:{202:{},default:{bodyMapper:p}},serializer:Ha},Ka={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],responses:{200:{},default:{bodyMapper:p}},serializer:Ha},Xa={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Ha},Ya={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},H),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Ha},Za={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[re,se],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r(r({},J),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Ha},er={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[re,se],queryParameters:[he,ge],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersistedFace"}}}}},default:{bodyMapper:p}},serializer:Ha},ar={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[re,se],queryParameters:[ze,fe,ae],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Ha},rr=Object.freeze({__proto__:null,APIError:p,ApplySnapshotRequest:k,ErrorModel:i,OperationStatus:W,Snapshot:j,SnapshotApplyHeaders:X,SnapshotTakeHeaders:K,TakeSnapshotRequest:$,UpdateSnapshotRequest:Q}),tr=(sr.prototype.take=function(e,a,r,t,s){return this.client.sendOperationRequest({type:e,objectId:a,applyScope:r,options:t},pr,s)},sr.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},nr,a)},sr.prototype.get=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},dr,r)},sr.prototype.update=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},lr,r)},sr.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},mr,r)},sr.prototype.apply=function(e,a,r,t){return this.client.sendOperationRequest({snapshotId:e,objectId:a,options:r},ur,t)},sr.prototype.getOperationStatus=function(e,a,r){return this.client.sendOperationRequest({operationId:e,options:a},cr,r)},sr);function sr(e){this.client=e}var or,ir=new o.Serializer(rr),pr={httpMethod:"POST",path:"snapshots",urlParameters:[re],requestBody:{parameterPath:{type:"type",objectId:"objectId",applyScope:"applyScope",userData:["options","userData"]},mapper:r(r({},$),{required:!0})},responses:{202:{headersMapper:K},default:{bodyMapper:p}},serializer:ir},nr={httpMethod:"GET",path:"snapshots",urlParameters:[re],queryParameters:[{parameterPath:["options","type"],mapper:{serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}}},ee],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Snapshot"}}}}},default:{bodyMapper:p}},serializer:ir},dr={httpMethod:"GET",path:"snapshots/{snapshotId}",urlParameters:[re,ye],responses:{200:{bodyMapper:j},default:{bodyMapper:p}},serializer:ir},lr={httpMethod:"PATCH",path:"snapshots/{snapshotId}",urlParameters:[re,ye],requestBody:{parameterPath:{applyScope:["options","applyScope"],userData:["options","userData"]},mapper:r(r({},Q),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ir},mr={httpMethod:"DELETE",path:"snapshots/{snapshotId}",urlParameters:[re,ye],responses:{200:{},default:{bodyMapper:p}},serializer:ir},ur={httpMethod:"POST",path:"snapshots/{snapshotId}/apply",urlParameters:[re,ye],requestBody:{parameterPath:{objectId:"objectId",mode:["options","mode"]},mapper:r(r({},k),{required:!0})},responses:{202:{headersMapper:X},default:{bodyMapper:p}},serializer:ir},cr={httpMethod:"GET",path:"operations/{operationId}",urlParameters:[re,{parameterPath:"operationId",mapper:{required:!0,serializedName:"operationId",type:{name:"Uuid"}}}],responses:{200:{bodyMapper:W},default:{bodyMapper:p}},serializer:ir},yr=(a(hr,or=o.ServiceClient),hr);function hr(e,a,r){var t,s=this;if(null==a)throw new Error("'endpoint' cannot be null.");if(null==e)throw new Error("'credentials' cannot be null.");return(r=r\|\|{}).userAgent\|\|(t=o.getDefaultUserAgentValue(),r.userAgent="@azure/cognitiveservices-face/4.1.0 "+t),(s=or.call(this,e,r)\|\|this).baseUri="{Endpoint}/face/v1.0",s.requestContentType="application/json; charset=utf-8",s.endpoint=a,s.credentials=e,s}var Nr,fr=(a(gr,Nr=yr),gr);function gr(e,a,r){var t=Nr.call(this,e,a,r)\|\|this;return t.face=new Ie(t),t.personGroupPerson=new Te(t),t.personGroup=new $e(t),t.faceList=new ta(t),t.largePersonGroupPerson=new ha(t),t.largePersonGroup=new Sa(t),t.largeFaceList=new Ba(t),t.snapshot=new tr(t),t}e.Face=Ie,e.FaceClient=fr,e.FaceClientContext=yr,e.FaceListOperations=ta,e.FaceMappers=Y,e.FaceModels=s,e.LargeFaceListOperations=Ba,e.LargePersonGroupOperations=Sa,e.LargePersonGroupPerson=ha,e.PersonGroupOperations=$e,e.PersonGroupPerson=Te,e.SnapshotOperations=tr,Object.defineProperty(e,"__esModule",{value:!0})});
		!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@azure/ms-rest-js")):"function"==typeof define&&define.amd?define(["exports","@azure/ms-rest-js"],a):a(((e=e\|\|self).Azure=e.Azure\|\|{},e.Azure.CognitiveservicesFace={}),e.msRest)}(this,function(e,o){"use strict";var t=function(e,a){return(t=Object.setPrototypeOf\|\|{__proto__:[]}instanceof Array&&function(e,a){e.__proto__=a}\|\|function(e,a){for(var r in a)a.hasOwnProperty(r)&&(e[r]=a[r])})(e,a)};function a(e,a){function r(){this.constructor=e}t(e,a),e.prototype=null===a?Object.create(a):(r.prototype=a.prototype,new r)}var r=function(){return(r=Object.assign\|\|function(e){for(var a,r=1,t=arguments.length;r<t;r++)for(var s in a=arguments[r])Object.prototype.hasOwnProperty.call(a,s)&&(e[s]=a[s]);return e}).apply(this,arguments)},s=Object.freeze({__proto__:null}),i={serializedName:"Error",type:{name:"Composite",className:"ErrorModel",modelProperties:{code:{serializedName:"code",type:{name:"String"}},message:{serializedName:"message",type:{name:"String"}}}}},p={serializedName:"APIError",type:{name:"Composite",className:"APIError",modelProperties:{error:{serializedName:"error",type:{name:"Composite",className:"ErrorModel"}}}}},n={serializedName:"FaceRectangle",type:{name:"Composite",className:"FaceRectangle",modelProperties:{width:{required:!0,serializedName:"width",type:{name:"Number"}},height:{required:!0,serializedName:"height",type:{name:"Number"}},left:{required:!0,serializedName:"left",type:{name:"Number"}},top:{required:!0,serializedName:"top",type:{name:"Number"}}}}},d={serializedName:"Coordinate",type:{name:"Composite",className:"Coordinate",modelProperties:{x:{required:!0,serializedName:"x",type:{name:"Number"}},y:{required:!0,serializedName:"y",type:{name:"Number"}}}}},l={serializedName:"FaceLandmarks",type:{name:"Composite",className:"FaceLandmarks",modelProperties:{pupilLeft:{serializedName:"pupilLeft",type:{name:"Composite",className:"Coordinate"}},pupilRight:{serializedName:"pupilRight",type:{name:"Composite",className:"Coordinate"}},noseTip:{serializedName:"noseTip",type:{name:"Composite",className:"Coordinate"}},mouthLeft:{serializedName:"mouthLeft",type:{name:"Composite",className:"Coordinate"}},mouthRight:{serializedName:"mouthRight",type:{name:"Composite",className:"Coordinate"}},eyebrowLeftOuter:{serializedName:"eyebrowLeftOuter",type:{name:"Composite",className:"Coordinate"}},eyebrowLeftInner:{serializedName:"eyebrowLeftInner",type:{name:"Composite",className:"Coordinate"}},eyeLeftOuter:{serializedName:"eyeLeftOuter",type:{name:"Composite",className:"Coordinate"}},eyeLeftTop:{serializedName:"eyeLeftTop",type:{name:"Composite",className:"Coordinate"}},eyeLeftBottom:{serializedName:"eyeLeftBottom",type:{name:"Composite",className:"Coordinate"}},eyeLeftInner:{serializedName:"eyeLeftInner",type:{name:"Composite",className:"Coordinate"}},eyebrowRightInner:{serializedName:"eyebrowRightInner",type:{name:"Composite",className:"Coordinate"}},eyebrowRightOuter:{serializedName:"eyebrowRightOuter",type:{name:"Composite",className:"Coordinate"}},eyeRightInner:{serializedName:"eyeRightInner",type:{name:"Composite",className:"Coordinate"}},eyeRightTop:{serializedName:"eyeRightTop",type:{name:"Composite",className:"Coordinate"}},eyeRightBottom:{serializedName:"eyeRightBottom",type:{name:"Composite",className:"Coordinate"}},eyeRightOuter:{serializedName:"eyeRightOuter",type:{name:"Composite",className:"Coordinate"}},noseRootLeft:{serializedName:"noseRootLeft",type:{name:"Composite",className:"Coordinate"}},noseRootRight:{serializedName:"noseRootRight",type:{name:"Composite",className:"Coordinate"}},noseLeftAlarTop:{serializedName:"noseLeftAlarTop",type:{name:"Composite",className:"Coordinate"}},noseRightAlarTop:{serializedName:"noseRightAlarTop",type:{name:"Composite",className:"Coordinate"}},noseLeftAlarOutTip:{serializedName:"noseLeftAlarOutTip",type:{name:"Composite",className:"Coordinate"}},noseRightAlarOutTip:{serializedName:"noseRightAlarOutTip",type:{name:"Composite",className:"Coordinate"}},upperLipTop:{serializedName:"upperLipTop",type:{name:"Composite",className:"Coordinate"}},upperLipBottom:{serializedName:"upperLipBottom",type:{name:"Composite",className:"Coordinate"}},underLipTop:{serializedName:"underLipTop",type:{name:"Composite",className:"Coordinate"}},underLipBottom:{serializedName:"underLipBottom",type:{name:"Composite",className:"Coordinate"}}}}},m={serializedName:"FacialHair",type:{name:"Composite",className:"FacialHair",modelProperties:{moustache:{nullable:!1,serializedName:"moustache",type:{name:"Number"}},beard:{nullable:!1,serializedName:"beard",type:{name:"Number"}},sideburns:{nullable:!1,serializedName:"sideburns",type:{name:"Number"}}}}},u={serializedName:"HeadPose",type:{name:"Composite",className:"HeadPose",modelProperties:{roll:{nullable:!1,serializedName:"roll",type:{name:"Number"}},yaw:{nullable:!1,serializedName:"yaw",type:{name:"Number"}},pitch:{nullable:!1,serializedName:"pitch",type:{name:"Number"}}}}},c={serializedName:"Emotion",type:{name:"Composite",className:"Emotion",modelProperties:{anger:{nullable:!1,serializedName:"anger",type:{name:"Number"}},contempt:{nullable:!1,serializedName:"contempt",type:{name:"Number"}},disgust:{nullable:!1,serializedName:"disgust",type:{name:"Number"}},fear:{nullable:!1,serializedName:"fear",type:{name:"Number"}},happiness:{nullable:!1,serializedName:"happiness",type:{name:"Number"}},neutral:{nullable:!1,serializedName:"neutral",type:{name:"Number"}},sadness:{nullable:!1,serializedName:"sadness",type:{name:"Number"}},surprise:{nullable:!1,serializedName:"surprise",type:{name:"Number"}}}}},y={serializedName:"HairColor",type:{name:"Composite",className:"HairColor",modelProperties:{color:{nullable:!1,serializedName:"color",type:{name:"Enum",allowedValues:["unknown","white","gray","blond","brown","red","black","other"]}},confidence:{nullable:!1,serializedName:"confidence",type:{name:"Number"}}}}},h={serializedName:"Hair",type:{name:"Composite",className:"Hair",modelProperties:{bald:{nullable:!1,serializedName:"bald",type:{name:"Number"}},invisible:{nullable:!1,serializedName:"invisible",type:{name:"Boolean"}},hairColor:{serializedName:"hairColor",type:{name:"Sequence",element:{type:{name:"Composite",className:"HairColor"}}}}}}},N={serializedName:"Makeup",type:{name:"Composite",className:"Makeup",modelProperties:{eyeMakeup:{nullable:!1,serializedName:"eyeMakeup",type:{name:"Boolean"}},lipMakeup:{nullable:!1,serializedName:"lipMakeup",type:{name:"Boolean"}}}}},f={serializedName:"Occlusion",type:{name:"Composite",className:"Occlusion",modelProperties:{foreheadOccluded:{nullable:!1,serializedName:"foreheadOccluded",type:{name:"Boolean"}},eyeOccluded:{nullable:!1,serializedName:"eyeOccluded",type:{name:"Boolean"}},mouthOccluded:{nullable:!1,serializedName:"mouthOccluded",type:{name:"Boolean"}}}}},P={serializedName:"Accessory",type:{name:"Composite",className:"Accessory",modelProperties:{type:{nullable:!1,serializedName:"type",type:{name:"Enum",allowedValues:["headWear","glasses","mask"]}},confidence:{nullable:!1,serializedName:"confidence",type:{name:"Number"}}}}},g={serializedName:"Blur",type:{name:"Composite",className:"Blur",modelProperties:{blurLevel:{nullable:!1,serializedName:"blurLevel",type:{name:"Enum",allowedValues:["Low","Medium","High"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},z={serializedName:"Exposure",type:{name:"Composite",className:"Exposure",modelProperties:{exposureLevel:{nullable:!1,serializedName:"exposureLevel",type:{name:"Enum",allowedValues:["UnderExposure","GoodExposure","OverExposure"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},I={serializedName:"Noise",type:{name:"Composite",className:"Noise",modelProperties:{noiseLevel:{nullable:!1,serializedName:"noiseLevel",type:{name:"Enum",allowedValues:["Low","Medium","High"]}},value:{nullable:!1,serializedName:"value",type:{name:"Number"}}}}},M={serializedName:"Mask",type:{name:"Composite",className:"Mask",modelProperties:{type:{nullable:!1,serializedName:"type",type:{name:"Enum",allowedValues:["noMask","faceMask","otherMaskOrOcclusion","uncertain"]}},noseAndMouthCovered:{nullable:!1,serializedName:"noseAndMouthCovered",type:{name:"Boolean"}}}}},q={serializedName:"FaceAttributes",type:{name:"Composite",className:"FaceAttributes",modelProperties:{age:{serializedName:"age",type:{name:"Number"}},gender:{serializedName:"gender",type:{name:"Enum",allowedValues:["male","female"]}},smile:{serializedName:"smile",type:{name:"Number"}},facialHair:{serializedName:"facialHair",type:{name:"Composite",className:"FacialHair"}},glasses:{serializedName:"glasses",type:{name:"Enum",allowedValues:["noGlasses","readingGlasses","sunglasses","swimmingGoggles"]}},headPose:{serializedName:"headPose",type:{name:"Composite",className:"HeadPose"}},emotion:{serializedName:"emotion",type:{name:"Composite",className:"Emotion"}},hair:{serializedName:"hair",type:{name:"Composite",className:"Hair"}},makeup:{serializedName:"makeup",type:{name:"Composite",className:"Makeup"}},occlusion:{serializedName:"occlusion",type:{name:"Composite",className:"Occlusion"}},accessories:{serializedName:"accessories",type:{name:"Sequence",element:{type:{name:"Composite",className:"Accessory"}}}},blur:{serializedName:"blur",type:{name:"Composite",className:"Blur"}},exposure:{serializedName:"exposure",type:{name:"Composite",className:"Exposure"}},noise:{serializedName:"noise",type:{name:"Composite",className:"Noise"}},mask:{serializedName:"mask",type:{name:"Composite",className:"Mask"}}}}},b={serializedName:"DetectedFace",type:{name:"Composite",className:"DetectedFace",modelProperties:{faceId:{serializedName:"faceId",type:{name:"Uuid"}},recognitionModel:{nullable:!1,serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}},faceRectangle:{required:!0,serializedName:"faceRectangle",type:{name:"Composite",className:"FaceRectangle"}},faceLandmarks:{serializedName:"faceLandmarks",type:{name:"Composite",className:"FaceLandmarks"}},faceAttributes:{serializedName:"faceAttributes",type:{name:"Composite",className:"FaceAttributes"}}}}},F={serializedName:"FindSimilarRequest",type:{name:"Composite",className:"FindSimilarRequest",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},faceListId:{serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largeFaceListId:{serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},faceIds:{serializedName:"faceIds",constraints:{MaxItems:1e3},type:{name:"Sequence",element:{type:{name:"Uuid"}}}},maxNumOfCandidatesReturned:{serializedName:"maxNumOfCandidatesReturned",defaultValue:20,constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}},mode:{nullable:!1,serializedName:"mode",defaultValue:"matchPerson",type:{name:"Enum",allowedValues:["matchPerson","matchFace"]}}}}},L={serializedName:"SimilarFace",type:{name:"Composite",className:"SimilarFace",modelProperties:{faceId:{serializedName:"faceId",type:{name:"Uuid"}},persistedFaceId:{serializedName:"persistedFaceId",type:{name:"Uuid"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},C={serializedName:"GroupRequest",type:{name:"Composite",className:"GroupRequest",modelProperties:{faceIds:{required:!0,serializedName:"faceIds",constraints:{MaxItems:1e3},type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}}},R={serializedName:"GroupResult",type:{name:"Composite",className:"GroupResult",modelProperties:{groups:{required:!0,serializedName:"groups",type:{name:"Sequence",element:{type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}},messyGroup:{serializedName:"messyGroup",type:{name:"Sequence",element:{type:{name:"Uuid"}}}}}}},S={serializedName:"IdentifyRequest",type:{name:"Composite",className:"IdentifyRequest",modelProperties:{faceIds:{required:!0,serializedName:"faceIds",constraints:{MaxItems:10},type:{name:"Sequence",element:{type:{name:"Uuid"}}}},personGroupId:{serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largePersonGroupId:{serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},maxNumOfCandidatesReturned:{serializedName:"maxNumOfCandidatesReturned",defaultValue:1,constraints:{InclusiveMaximum:5,InclusiveMinimum:1},type:{name:"Number"}},confidenceThreshold:{serializedName:"confidenceThreshold",type:{name:"Number"}}}}},G={serializedName:"IdentifyCandidate",type:{name:"Composite",className:"IdentifyCandidate",modelProperties:{personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},O={serializedName:"IdentifyResult",type:{name:"Composite",className:"IdentifyResult",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},candidates:{required:!0,serializedName:"candidates",type:{name:"Sequence",element:{type:{name:"Composite",className:"IdentifyCandidate"}}}}}}},T={serializedName:"VerifyFaceToPersonRequest",type:{name:"Composite",className:"VerifyFaceToPersonRequest",modelProperties:{faceId:{required:!0,serializedName:"faceId",type:{name:"Uuid"}},personGroupId:{serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},largePersonGroupId:{serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}}}}},E={serializedName:"VerifyFaceToFaceRequest",type:{name:"Composite",className:"VerifyFaceToFaceRequest",modelProperties:{faceId1:{required:!0,serializedName:"faceId1",type:{name:"Uuid"}},faceId2:{required:!0,serializedName:"faceId2",type:{name:"Uuid"}}}}},D={serializedName:"VerifyResult",type:{name:"Composite",className:"VerifyResult",modelProperties:{isIdentical:{required:!0,serializedName:"isIdentical",type:{name:"Boolean"}},confidence:{required:!0,serializedName:"confidence",type:{name:"Number"}}}}},A={serializedName:"PersistedFace",type:{name:"Composite",className:"PersistedFace",modelProperties:{persistedFaceId:{required:!0,serializedName:"persistedFaceId",type:{name:"Uuid"}},userData:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}}}},_={serializedName:"NameAndUserDataContract",type:{name:"Composite",className:"NameAndUserDataContract",modelProperties:{name:{serializedName:"name",constraints:{MaxLength:128},type:{name:"String"}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},U={serializedName:"MetaDataContract",type:{name:"Composite",className:"MetaDataContract",modelProperties:r(r({},_.type.modelProperties),{recognitionModel:{nullable:!1,serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}}})}},x={serializedName:"FaceList",type:{name:"Composite",className:"FaceList",modelProperties:r(r({},U.type.modelProperties),{faceListId:{required:!0,serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},persistedFaces:{serializedName:"persistedFaces",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersistedFace"}}}}})}},w={serializedName:"PersonGroup",type:{name:"Composite",className:"PersonGroup",modelProperties:r(r({},U.type.modelProperties),{personGroupId:{required:!0,serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},v={serializedName:"Person",type:{name:"Composite",className:"Person",modelProperties:r(r({},_.type.modelProperties),{personId:{required:!0,serializedName:"personId",type:{name:"Uuid"}},persistedFaceIds:{serializedName:"persistedFaceIds",type:{name:"Sequence",element:{type:{name:"Uuid"}}}}})}},B={serializedName:"LargeFaceList",type:{name:"Composite",className:"LargeFaceList",modelProperties:r(r({},U.type.modelProperties),{largeFaceListId:{required:!0,serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},k={serializedName:"LargePersonGroup",type:{name:"Composite",className:"LargePersonGroup",modelProperties:r(r({},U.type.modelProperties),{largePersonGroupId:{required:!0,serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}})}},V={serializedName:"UpdateFaceRequest",type:{name:"Composite",className:"UpdateFaceRequest",modelProperties:{userData:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}}}},H={serializedName:"TrainingStatus",type:{name:"Composite",className:"TrainingStatus",modelProperties:{status:{required:!0,serializedName:"status",type:{name:"Enum",allowedValues:["nonstarted","running","succeeded","failed"]}},created:{required:!0,serializedName:"createdDateTime",type:{name:"DateTime"}},lastAction:{serializedName:"lastActionDateTime",type:{name:"DateTime"}},lastSuccessfulTraining:{serializedName:"lastSuccessfulTrainingDateTime",type:{name:"DateTime"}},message:{serializedName:"message",type:{name:"String"}}}}},j={serializedName:"ApplySnapshotRequest",type:{name:"Composite",className:"ApplySnapshotRequest",modelProperties:{objectId:{required:!0,serializedName:"objectId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},mode:{nullable:!1,serializedName:"mode",defaultValue:"CreateNew",type:{name:"Enum",allowedValues:["CreateNew"]}}}}},$={serializedName:"Snapshot",type:{name:"Composite",className:"Snapshot",modelProperties:{id:{required:!0,serializedName:"id",type:{name:"Uuid"}},account:{required:!0,serializedName:"account",type:{name:"String"}},type:{required:!0,serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}},applyScope:{required:!0,serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}},createdTime:{required:!0,serializedName:"createdTime",type:{name:"DateTime"}},lastUpdateTime:{required:!0,serializedName:"lastUpdateTime",type:{name:"DateTime"}}}}},Q={serializedName:"TakeSnapshotRequest",type:{name:"Composite",className:"TakeSnapshotRequest",modelProperties:{type:{required:!0,serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}},objectId:{required:!0,serializedName:"objectId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}},applyScope:{required:!0,serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},W={serializedName:"UpdateSnapshotRequest",type:{name:"Composite",className:"UpdateSnapshotRequest",modelProperties:{applyScope:{serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},userData:{serializedName:"userData",constraints:{MaxLength:16384},type:{name:"String"}}}}},J={serializedName:"OperationStatus",type:{name:"Composite",className:"OperationStatus",modelProperties:{status:{required:!0,serializedName:"status",type:{name:"Enum",allowedValues:["notstarted","running","succeeded","failed"]}},createdTime:{required:!0,serializedName:"createdTime",type:{name:"DateTime"}},lastActionTime:{serializedName:"lastActionTime",type:{name:"DateTime"}},resourceLocation:{serializedName:"resourceLocation",type:{name:"String"}},message:{serializedName:"message",type:{name:"String"}}}}},K={serializedName:"ImageUrl",type:{name:"Composite",className:"ImageUrl",modelProperties:{url:{required:!0,serializedName:"url",type:{name:"String"}}}}},X={serializedName:"snapshot-take-headers",type:{name:"Composite",className:"SnapshotTakeHeaders",modelProperties:{operationLocation:{serializedName:"operation-location",type:{name:"String"}}}}},Y={serializedName:"snapshot-apply-headers",type:{name:"Composite",className:"SnapshotApplyHeaders",modelProperties:{operationLocation:{serializedName:"operation-location",type:{name:"String"}}}}},Z=Object.freeze({__proto__:null,ErrorModel:i,APIError:p,FaceRectangle:n,Coordinate:d,FaceLandmarks:l,FacialHair:m,HeadPose:u,Emotion:c,HairColor:y,Hair:h,Makeup:N,Occlusion:f,Accessory:P,Blur:g,Exposure:z,Noise:I,Mask:M,FaceAttributes:q,DetectedFace:b,FindSimilarRequest:F,SimilarFace:L,GroupRequest:C,GroupResult:R,IdentifyRequest:S,IdentifyCandidate:G,IdentifyResult:O,VerifyFaceToPersonRequest:T,VerifyFaceToFaceRequest:E,VerifyResult:D,PersistedFace:A,NameAndUserDataContract:_,MetaDataContract:U,FaceList:x,PersonGroup:w,Person:v,LargeFaceList:B,LargePersonGroup:k,UpdateFaceRequest:V,TrainingStatus:H,ApplySnapshotRequest:j,Snapshot:$,TakeSnapshotRequest:Q,UpdateSnapshotRequest:W,OperationStatus:J,ImageUrl:K,SnapshotTakeHeaders:X,SnapshotApplyHeaders:Y}),ee=Object.freeze({__proto__:null,Accessory:P,APIError:p,Blur:g,Coordinate:d,DetectedFace:b,Emotion:c,ErrorModel:i,Exposure:z,FaceAttributes:q,FaceLandmarks:l,FaceRectangle:n,FacialHair:m,FindSimilarRequest:F,GroupRequest:C,GroupResult:R,Hair:h,HairColor:y,HeadPose:u,IdentifyCandidate:G,IdentifyRequest:S,IdentifyResult:O,ImageUrl:K,Makeup:N,Mask:M,Noise:I,Occlusion:f,SimilarFace:L,VerifyFaceToFaceRequest:E,VerifyFaceToPersonRequest:T,VerifyResult:D}),ae={parameterPath:["options","applyScope"],mapper:{serializedName:"applyScope",type:{name:"Sequence",element:{type:{name:"Uuid"}}}},collectionFormat:o.QueryCollectionFormat.Csv},re={parameterPath:["options","detectionModel"],mapper:{serializedName:"detectionModel",defaultValue:"detection_01",type:{name:"String"}}},P={parameterPath:"endpoint",mapper:{required:!0,serializedName:"Endpoint",defaultValue:"",type:{name:"String"}},skipEncoding:!0},g={parameterPath:["options","faceIdTimeToLive"],mapper:{serializedName:"faceIdTimeToLive",defaultValue:86400,constraints:{InclusiveMaximum:86400,InclusiveMinimum:60},type:{name:"Number"}}},d={parameterPath:"faceListId",mapper:{required:!0,serializedName:"faceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},b={parameterPath:"largeFaceListId",mapper:{required:!0,serializedName:"largeFaceListId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},c={parameterPath:"largePersonGroupId",mapper:{required:!0,serializedName:"largePersonGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},z={parameterPath:"persistedFaceId",mapper:{required:!0,serializedName:"persistedFaceId",type:{name:"Uuid"}}},q={parameterPath:"personGroupId",mapper:{required:!0,serializedName:"personGroupId",constraints:{MaxLength:64,Pattern:/^[a-z0-9-_]+$/},type:{name:"String"}}},l={parameterPath:"personId",mapper:{required:!0,serializedName:"personId",type:{name:"Uuid"}}},n={parameterPath:["options","recognitionModel"],mapper:{serializedName:"recognitionModel",defaultValue:"recognition_01",type:{name:"String"}}},m={parameterPath:["options","returnFaceAttributes"],mapper:{serializedName:"returnFaceAttributes",type:{name:"Sequence",element:{type:{name:"Enum",allowedValues:["age","gender","headPose","smile","facialHair","glasses","emotion","hair","makeup","occlusion","accessories","blur","exposure","noise","mask"]}}}},collectionFormat:o.QueryCollectionFormat.Csv},h={parameterPath:["options","returnFaceId"],mapper:{serializedName:"returnFaceId",defaultValue:!0,type:{name:"Boolean"}}},y={parameterPath:["options","returnFaceLandmarks"],mapper:{serializedName:"returnFaceLandmarks",defaultValue:!1,type:{name:"Boolean"}}},u={parameterPath:["options","returnRecognitionModel"],mapper:{serializedName:"returnRecognitionModel",defaultValue:!1,type:{name:"Boolean"}}},G={parameterPath:"snapshotId",mapper:{required:!0,serializedName:"snapshotId",type:{name:"Uuid"}}},O={parameterPath:["options","start"],mapper:{serializedName:"start",type:{name:"String"}}},N={parameterPath:["options","start"],mapper:{serializedName:"start",constraints:{MaxLength:64},type:{name:"String"}}},M={parameterPath:["options","targetFace"],mapper:{serializedName:"targetFace",type:{name:"Sequence",element:{type:{name:"Number"}}}},collectionFormat:o.QueryCollectionFormat.Csv},I={parameterPath:["options","top"],mapper:{serializedName:"top",constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}}},f={parameterPath:["options","top"],mapper:{serializedName:"top",defaultValue:1e3,constraints:{InclusiveMaximum:1e3,InclusiveMinimum:1},type:{name:"Number"}}},L={parameterPath:["options","userData"],mapper:{serializedName:"userData",constraints:{MaxLength:1024},type:{name:"String"}}},te=(se.prototype.findSimilar=function(e,a,r){return this.client.sendOperationRequest({faceId:e,options:a},oe,r)},se.prototype.group=function(e,a,r){return this.client.sendOperationRequest({faceIds:e,options:a},ie,r)},se.prototype.identify=function(e,a,r){return this.client.sendOperationRequest({faceIds:e,options:a},pe,r)},se.prototype.verifyFaceToFace=function(e,a,r,t){return this.client.sendOperationRequest({faceId1:e,faceId2:a,options:r},ne,t)},se.prototype.detectWithUrl=function(e,a,r){return this.client.sendOperationRequest({url:e,options:a},de,r)},se.prototype.verifyFaceToPerson=function(e,a,r,t){return this.client.sendOperationRequest({faceId:e,personId:a,options:r},le,t)},se.prototype.detectWithStream=function(e,a,r){return this.client.sendOperationRequest({image:e,options:a},me,r)},se);function se(e){this.client=e}var ee=new o.Serializer(ee),oe={httpMethod:"POST",path:"findsimilars",urlParameters:[P],requestBody:{parameterPath:{faceId:"faceId",faceListId:["options","faceListId"],largeFaceListId:["options","largeFaceListId"],faceIds:["options","faceIds"],maxNumOfCandidatesReturned:["options","maxNumOfCandidatesReturned"],mode:["options","mode"]},mapper:r(r({},F),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"SimilarFace"}}}}},default:{bodyMapper:p}},serializer:ee},ie={httpMethod:"POST",path:"group",urlParameters:[P],requestBody:{parameterPath:{faceIds:"faceIds"},mapper:r(r({},C),{required:!0})},responses:{200:{bodyMapper:R},default:{bodyMapper:p}},serializer:ee},pe={httpMethod:"POST",path:"identify",urlParameters:[P],requestBody:{parameterPath:{faceIds:"faceIds",personGroupId:["options","personGroupId"],largePersonGroupId:["options","largePersonGroupId"],maxNumOfCandidatesReturned:["options","maxNumOfCandidatesReturned"],confidenceThreshold:["options","confidenceThreshold"]},mapper:r(r({},S),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"IdentifyResult"}}}}},default:{bodyMapper:p}},serializer:ee},ne={httpMethod:"POST",path:"verify",urlParameters:[P],requestBody:{parameterPath:{faceId1:"faceId1",faceId2:"faceId2"},mapper:r(r({},E),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:ee},de={httpMethod:"POST",path:"detect",urlParameters:[P],queryParameters:[h,y,m,n,u,re,g],requestBody:{parameterPath:{url:"url"},mapper:r(r({},K),{required:!0})},responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"DetectedFace"}}}}},default:{bodyMapper:p}},serializer:ee},le={httpMethod:"POST",path:"verify",urlParameters:[P],requestBody:{parameterPath:{faceId:"faceId",personGroupId:["options","personGroupId"],largePersonGroupId:["options","largePersonGroupId"],personId:"personId"},mapper:r(r({},T),{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:ee},me={httpMethod:"POST",path:"detect",urlParameters:[P],queryParameters:[h,y,m,n,u,re,g],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"DetectedFace"}}}}},default:{bodyMapper:p}},serializer:ee},ee=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,ImageUrl:K,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w,UpdateFaceRequest:V}),ue=(ce.prototype.create=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},ye,r)},ce.prototype.list=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},he,r)},ce.prototype.deleteMethod=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},Ne,t)},ce.prototype.get=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},fe,t)},ce.prototype.update=function(e,a,r,t){return this.client.sendOperationRequest({personGroupId:e,personId:a,options:r},Pe,t)},ce.prototype.deleteFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},ge,s)},ce.prototype.getFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},ze,s)},ce.prototype.updateFace=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},Ie,s)},ce.prototype.addFaceFromUrl=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,url:r,options:t},Me,s)},ce.prototype.addFaceFromStream=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,image:r,options:t},qe,s)},ce);function ce(e){this.client=e}var ee=new o.Serializer(ee),ye={httpMethod:"POST",path:"persongroups/{personGroupId}/persons",urlParameters:[P,q],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:ee},he={httpMethod:"GET",path:"persongroups/{personGroupId}/persons",urlParameters:[P,q],queryParameters:[O,I],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Person"}}}}},default:{bodyMapper:p}},serializer:ee},Ne={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[P,q,l],responses:{200:{},default:{bodyMapper:p}},serializer:ee},fe={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[P,q,l],responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:ee},Pe={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[P,q,l],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},ge={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,q,l,z],responses:{200:{},default:{bodyMapper:p}},serializer:ee},ze={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,q,l,z],responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},Ie={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,q,l,z],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},V),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},Me={httpMethod:"POST",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces",urlParameters:[P,q,l],queryParameters:[L,M,re],requestBody:{parameterPath:{url:"url"},mapper:r(r({},K),{required:!0})},responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},qe={httpMethod:"POST",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces",urlParameters:[P,q,l],queryParameters:[L,M,re],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},ee=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w,TrainingStatus:H}),be=(Fe.prototype.create=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Le,r)},Fe.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ce,r)},Fe.prototype.get=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Re,r)},Fe.prototype.update=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Se,r)},Fe.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Ge,r)},Fe.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Oe,a)},Fe.prototype.train=function(e,a,r){return this.client.sendOperationRequest({personGroupId:e,options:a},Te,r)},Fe);function Fe(e){this.client=e}var ee=new o.Serializer(ee),Le={httpMethod:"PUT",path:"persongroups/{personGroupId}",urlParameters:[P,q],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},U),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},Ce={httpMethod:"DELETE",path:"persongroups/{personGroupId}",urlParameters:[P,q],responses:{200:{},default:{bodyMapper:p}},serializer:ee},Re={httpMethod:"GET",path:"persongroups/{personGroupId}",urlParameters:[P,q],queryParameters:[u],responses:{200:{bodyMapper:w},default:{bodyMapper:p}},serializer:ee},Se={httpMethod:"PATCH",path:"persongroups/{personGroupId}",urlParameters:[P,q],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},Ge={httpMethod:"GET",path:"persongroups/{personGroupId}/training",urlParameters:[P,q],responses:{200:{bodyMapper:H},default:{bodyMapper:p}},serializer:ee},Oe={httpMethod:"GET",path:"persongroups",urlParameters:[P],queryParameters:[N,f,u],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersonGroup"}}}}},default:{bodyMapper:p}},serializer:ee},Te={httpMethod:"POST",path:"persongroups/{personGroupId}/train",urlParameters:[P,q],responses:{202:{},default:{bodyMapper:p}},serializer:ee},ee=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,ImageUrl:K,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w}),Ee=(De.prototype.create=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},Ae,r)},De.prototype.get=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},_e,r)},De.prototype.update=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},Ue,r)},De.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({faceListId:e,options:a},xe,r)},De.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},we,a)},De.prototype.deleteFace=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,persistedFaceId:a,options:r},ve,t)},De.prototype.addFaceFromUrl=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,url:a,options:r},Be,t)},De.prototype.addFaceFromStream=function(e,a,r,t){return this.client.sendOperationRequest({faceListId:e,image:a,options:r},ke,t)},De);function De(e){this.client=e}var ee=new o.Serializer(ee),Ae={httpMethod:"PUT",path:"facelists/{faceListId}",urlParameters:[P,d],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},U),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},_e={httpMethod:"GET",path:"facelists/{faceListId}",urlParameters:[P,d],queryParameters:[u],responses:{200:{bodyMapper:x},default:{bodyMapper:p}},serializer:ee},Ue={httpMethod:"PATCH",path:"facelists/{faceListId}",urlParameters:[P,d],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},xe={httpMethod:"DELETE",path:"facelists/{faceListId}",urlParameters:[P,d],responses:{200:{},default:{bodyMapper:p}},serializer:ee},we={httpMethod:"GET",path:"facelists",urlParameters:[P],queryParameters:[u],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"FaceList"}}}}},default:{bodyMapper:p}},serializer:ee},ve={httpMethod:"DELETE",path:"facelists/{faceListId}/persistedfaces/{persistedFaceId}",urlParameters:[P,d,z],responses:{200:{},default:{bodyMapper:p}},serializer:ee},Be={httpMethod:"POST",path:"facelists/{faceListId}/persistedfaces",urlParameters:[P,d],queryParameters:[L,M,re],requestBody:{parameterPath:{url:"url"},mapper:r(r({},K),{required:!0})},responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},ke={httpMethod:"POST",path:"facelists/{faceListId}/persistedfaces",urlParameters:[P,d],queryParameters:[L,M,re],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},ee=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,ImageUrl:K,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w,UpdateFaceRequest:V}),Ve=(He.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},je,r)},He.prototype.list=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},$e,r)},He.prototype.deleteMethod=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},Qe,t)},He.prototype.get=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},We,t)},He.prototype.update=function(e,a,r,t){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,options:r},Je,t)},He.prototype.deleteFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},Ke,s)},He.prototype.getFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},Xe,s)},He.prototype.updateFace=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,persistedFaceId:r,options:t},Ye,s)},He.prototype.addFaceFromUrl=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,url:r,options:t},Ze,s)},He.prototype.addFaceFromStream=function(e,a,r,t,s){return this.client.sendOperationRequest({largePersonGroupId:e,personId:a,image:r,options:t},ea,s)},He);function He(e){this.client=e}var ee=new o.Serializer(ee),je={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons",urlParameters:[P,c],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:ee},$e={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons",urlParameters:[P,c],queryParameters:[O,I],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Person"}}}}},default:{bodyMapper:p}},serializer:ee},Qe={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[P,c,l],responses:{200:{},default:{bodyMapper:p}},serializer:ee},We={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[P,c,l],responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:ee},Je={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}/persons/{personId}",urlParameters:[P,c,l],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},Ke={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,c,l,z],responses:{200:{},default:{bodyMapper:p}},serializer:ee},Xe={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,c,l,z],responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},Ye={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[P,c,l,z],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},V),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},Ze={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces",urlParameters:[P,c,l],queryParameters:[L,M,re],requestBody:{parameterPath:{url:"url"},mapper:r(r({},K),{required:!0})},responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},ea={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/persons/{personId}/persistedfaces",urlParameters:[P,c,l],queryParameters:[L,M,re],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:ee},ee=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w,TrainingStatus:H}),aa=(ra.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},ta,r)},ra.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},sa,r)},ra.prototype.get=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},oa,r)},ra.prototype.update=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},ia,r)},ra.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},pa,r)},ra.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},na,a)},ra.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},da,r)},ra);function ra(e){this.client=e}var ee=new o.Serializer(ee),ta={httpMethod:"PUT",path:"largepersongroups/{largePersonGroupId}",urlParameters:[P,c],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},U),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},sa={httpMethod:"DELETE",path:"largepersongroups/{largePersonGroupId}",urlParameters:[P,c],responses:{200:{},default:{bodyMapper:p}},serializer:ee},oa={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}",urlParameters:[P,c],queryParameters:[u],responses:{200:{bodyMapper:k},default:{bodyMapper:p}},serializer:ee},ia={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}",urlParameters:[P,c],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:ee},pa={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/training",urlParameters:[P,c],responses:{200:{bodyMapper:H},default:{bodyMapper:p}},serializer:ee},na={httpMethod:"GET",path:"largepersongroups",urlParameters:[P],queryParameters:[N,f,u],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"LargePersonGroup"}}}}},default:{bodyMapper:p}},serializer:ee},da={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/train",urlParameters:[P,c],responses:{202:{},default:{bodyMapper:p}},serializer:ee},w=Object.freeze({__proto__:null,APIError:p,ErrorModel:i,FaceList:x,ImageUrl:K,LargeFaceList:B,LargePersonGroup:k,MetaDataContract:U,NameAndUserDataContract:_,PersistedFace:A,Person:v,PersonGroup:w,TrainingStatus:H,UpdateFaceRequest:V}),la=(ma.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ua,r)},ma.prototype.get=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ca,r)},ma.prototype.update=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ya,r)},ma.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ha,r)},ma.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Na,r)},ma.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},fa,a)},ma.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Pa,r)},ma.prototype.deleteFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},ga,t)},ma.prototype.getFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},za,t)},ma.prototype.updateFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Ia,t)},ma.prototype.addFaceFromUrl=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,url:a,options:r},Ma,t)},ma.prototype.listFaces=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},qa,r)},ma.prototype.addFaceFromStream=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,image:a,options:r},ba,t)},ma);function ma(e){this.client=e}var w=new o.Serializer(w),ua={httpMethod:"PUT",path:"largefacelists/{largeFaceListId}",urlParameters:[P,b],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r(r({},U),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:w},ca={httpMethod:"GET",path:"largefacelists/{largeFaceListId}",urlParameters:[P,b],queryParameters:[u],responses:{200:{bodyMapper:B},default:{bodyMapper:p}},serializer:w},ya={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}",urlParameters:[P,b],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r(r({},_),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:w},ha={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}",urlParameters:[P,b],responses:{200:{},default:{bodyMapper:p}},serializer:w},Na={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/training",urlParameters:[P,b],responses:{200:{bodyMapper:H},default:{bodyMapper:p}},serializer:w},fa={httpMethod:"GET",path:"largefacelists",urlParameters:[P],queryParameters:[u],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"LargeFaceList"}}}}},default:{bodyMapper:p}},serializer:w},Pa={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/train",urlParameters:[P,b],responses:{202:{},default:{bodyMapper:p}},serializer:w},ga={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[P,b,z],responses:{200:{},default:{bodyMapper:p}},serializer:w},za={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[P,b,z],responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:w},Ia={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[P,b,z],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r(r({},V),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:w},Ma={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[P,b],queryParameters:[L,M,re],requestBody:{parameterPath:{url:"url"},mapper:r(r({},K),{required:!0})},responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:w},qa={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[P,b],queryParameters:[O,I],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersistedFace"}}}}},default:{bodyMapper:p}},serializer:w},ba={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[P,b],queryParameters:[L,M,re],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:A},default:{bodyMapper:p}},serializer:w},i=Object.freeze({__proto__:null,APIError:p,ApplySnapshotRequest:j,ErrorModel:i,OperationStatus:J,Snapshot:$,SnapshotApplyHeaders:Y,SnapshotTakeHeaders:X,TakeSnapshotRequest:Q,UpdateSnapshotRequest:W}),Fa=(La.prototype.take=function(e,a,r,t,s){return this.client.sendOperationRequest({type:e,objectId:a,applyScope:r,options:t},Ra,s)},La.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Sa,a)},La.prototype.get=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},Ga,r)},La.prototype.update=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},Oa,r)},La.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},Ta,r)},La.prototype.apply=function(e,a,r,t){return this.client.sendOperationRequest({snapshotId:e,objectId:a,options:r},Ea,t)},La.prototype.getOperationStatus=function(e,a,r){return this.client.sendOperationRequest({operationId:e,options:a},Da,r)},La);function La(e){this.client=e}var Ca,i=new o.Serializer(i),Ra={httpMethod:"POST",path:"snapshots",urlParameters:[P],requestBody:{parameterPath:{type:"type",objectId:"objectId",applyScope:"applyScope",userData:["options","userData"]},mapper:r(r({},Q),{required:!0})},responses:{202:{headersMapper:X},default:{bodyMapper:p}},serializer:i},Sa={httpMethod:"GET",path:"snapshots",urlParameters:[P],queryParameters:[{parameterPath:["options","type"],mapper:{serializedName:"type",type:{name:"Enum",allowedValues:["FaceList","LargeFaceList","LargePersonGroup","PersonGroup"]}}},ae],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"Snapshot"}}}}},default:{bodyMapper:p}},serializer:i},Ga={httpMethod:"GET",path:"snapshots/{snapshotId}",urlParameters:[P,G],responses:{200:{bodyMapper:$},default:{bodyMapper:p}},serializer:i},Oa={httpMethod:"PATCH",path:"snapshots/{snapshotId}",urlParameters:[P,G],requestBody:{parameterPath:{applyScope:["options","applyScope"],userData:["options","userData"]},mapper:r(r({},W),{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:i},Ta={httpMethod:"DELETE",path:"snapshots/{snapshotId}",urlParameters:[P,G],responses:{200:{},default:{bodyMapper:p}},serializer:i},Ea={httpMethod:"POST",path:"snapshots/{snapshotId}/apply",urlParameters:[P,G],requestBody:{parameterPath:{objectId:"objectId",mode:["options","mode"]},mapper:r(r({},j),{required:!0})},responses:{202:{headersMapper:Y},default:{bodyMapper:p}},serializer:i},Da={httpMethod:"GET",path:"operations/{operationId}",urlParameters:[P,{parameterPath:"operationId",mapper:{required:!0,serializedName:"operationId",type:{name:"Uuid"}}}],responses:{200:{bodyMapper:J},default:{bodyMapper:p}},serializer:i},p=(a(Aa,Ca=o.ServiceClient),Aa);function Aa(e,a,r){var t,s=this;if(null==a)throw new Error("'endpoint' cannot be null.");if(null==e)throw new Error("'credentials' cannot be null.");return(r=r\|\|{}).userAgent\|\|(t=o.getDefaultUserAgentValue(),r.userAgent="@azure/cognitiveservices-face/4.2.0 "+t),(s=Ca.call(this,e,r)\|\|this).baseUri="{Endpoint}/face/v1.0",s.requestContentType="application/json; charset=utf-8",s.endpoint=a,s.credentials=e,s}var _a,i=(a(Ua,_a=p),Ua);function Ua(e,a,r){r=_a.call(this,e,a,r)\|\|this;return r.face=new te(r),r.personGroupPerson=new ue(r),r.personGroup=new be(r),r.faceList=new Ee(r),r.largePersonGroupPerson=new Ve(r),r.largePersonGroup=new aa(r),r.largeFaceList=new la(r),r.snapshot=new Fa(r),r}e.Face=te,e.FaceClient=i,e.FaceClientContext=p,e.FaceListOperations=Ee,e.FaceMappers=Z,e.FaceModels=s,e.LargeFaceListOperations=la,e.LargePersonGroupOperations=aa,e.LargePersonGroupPerson=Ve,e.PersonGroupOperations=be,e.PersonGroupPerson=ue,e.SnapshotOperations=Fa,Object.defineProperty(e,"__esModule",{value:!0})});

esm/faceClientContext.js

		@@ -13,3 +13,3 @@ /*
		var packageName = "@azure/cognitiveservices-face";
		var packageVersion = "4.1.0";
		var packageVersion = "4.2.0";
		var FaceClientContext = /** @class */ (function (_super) {
		@@ -16,0 +16,0 @@ __extends(FaceClientContext, _super);

esm/models/faceMappers.d.ts

		@@ -1,2 +0,2 @@
		export { Accessory, APIError, Blur, Coordinate, DetectedFace, Emotion, ErrorModel, Exposure, FaceAttributes, FaceLandmarks, FaceRectangle, FacialHair, FindSimilarRequest, GroupRequest, GroupResult, Hair, HairColor, HeadPose, IdentifyCandidate, IdentifyRequest, IdentifyResult, ImageUrl, Makeup, Noise, Occlusion, SimilarFace, VerifyFaceToFaceRequest, VerifyFaceToPersonRequest, VerifyResult } from "../models/mappers";
		export { Accessory, APIError, Blur, Coordinate, DetectedFace, Emotion, ErrorModel, Exposure, FaceAttributes, FaceLandmarks, FaceRectangle, FacialHair, FindSimilarRequest, GroupRequest, GroupResult, Hair, HairColor, HeadPose, IdentifyCandidate, IdentifyRequest, IdentifyResult, ImageUrl, Makeup, Mask, Noise, Occlusion, SimilarFace, VerifyFaceToFaceRequest, VerifyFaceToPersonRequest, VerifyResult } from "../models/mappers";
		//# sourceMappingURL=faceMappers.d.ts.map

esm/models/faceMappers.js

		@@ -8,3 +8,3 @@ /*
		*/
		export { Accessory, APIError, Blur, Coordinate, DetectedFace, Emotion, ErrorModel, Exposure, FaceAttributes, FaceLandmarks, FaceRectangle, FacialHair, FindSimilarRequest, GroupRequest, GroupResult, Hair, HairColor, HeadPose, IdentifyCandidate, IdentifyRequest, IdentifyResult, ImageUrl, Makeup, Noise, Occlusion, SimilarFace, VerifyFaceToFaceRequest, VerifyFaceToPersonRequest, VerifyResult } from "../models/mappers";
		export { Accessory, APIError, Blur, Coordinate, DetectedFace, Emotion, ErrorModel, Exposure, FaceAttributes, FaceLandmarks, FaceRectangle, FacialHair, FindSimilarRequest, GroupRequest, GroupResult, Hair, HairColor, HeadPose, IdentifyCandidate, IdentifyRequest, IdentifyResult, ImageUrl, Makeup, Mask, Noise, Occlusion, SimilarFace, VerifyFaceToFaceRequest, VerifyFaceToPersonRequest, VerifyResult } from "../models/mappers";
		//# sourceMappingURL=faceMappers.js.map

esm/models/mappers.d.ts

		@@ -18,2 +18,3 @@ import * as msRest from "@azure/ms-rest-js";
		export declare const Noise: msRest.CompositeMapper;
		export declare const Mask: msRest.CompositeMapper;
		export declare const FaceAttributes: msRest.CompositeMapper;
		@@ -20,0 +21,0 @@ export declare const DetectedFace: msRest.CompositeMapper;

esm/models/mappers.js

		@@ -662,2 +662,31 @@ /*
		};
		export var Mask = {
		serializedName: "Mask",
		type: {
		name: "Composite",
		className: "Mask",
		modelProperties: {
		type: {
		nullable: false,
		serializedName: "type",
		type: {
		name: "Enum",
		allowedValues: [
		"noMask",
		"faceMask",
		"otherMaskOrOcclusion",
		"uncertain"
		]
		}
		},
		noseAndMouthCovered: {
		nullable: false,
		serializedName: "noseAndMouthCovered",
		type: {
		name: "Boolean"
		}
		}
		}
		}
		};
		export var FaceAttributes = {
		@@ -777,2 +806,9 @@ serializedName: "FaceAttributes",
		}
		},
		mask: {
		serializedName: "mask",
		type: {
		name: "Composite",
		className: "Mask"
		}
		}
		@@ -779,0 +815,0 @@ }

esm/models/parameters.d.ts

		@@ -5,2 +5,3 @@ import * as msRest from "@azure/ms-rest-js";
		export declare const endpoint: msRest.OperationURLParameter;
		export declare const faceIdTimeToLive: msRest.OperationQueryParameter;
		export declare const faceListId: msRest.OperationURLParameter;
		@@ -7,0 +8,0 @@ export declare const largeFaceListId: msRest.OperationURLParameter;

esm/models/parameters.js

		@@ -54,2 +54,19 @@ /*
		};
		export var faceIdTimeToLive = {
		parameterPath: [
		"options",
		"faceIdTimeToLive"
		],
		mapper: {
		serializedName: "faceIdTimeToLive",
		defaultValue: 86400,
		constraints: {
		InclusiveMaximum: 86400,
		InclusiveMinimum: 60
		},
		type: {
		name: "Number"
		}
		}
		};
		export var faceListId = {
		@@ -180,3 +197,4 @@ parameterPath: "faceListId",
		"exposure",
		"noise"
		"noise",
		"mask"
		]
		@@ -183,0 +201,0 @@ }

135

esm/operations/face.d.ts

		@@ -14,10 +14,11 @@ import * as msRest from "@azure/ms-rest-js";
		* Given query face's faceId, to search the similar-looking faces from a faceId array, a face list
		* or a large face list. faceId array contains the faces created by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), which
		* will expire 24 hours after creation. A "faceListId" is created by [FaceList -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/create) containing
		* persistedFaceIds that will not expire. And a "largeFaceListId" is created by [LargeFaceList -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/create)
		* containing persistedFaceIds that will also not expire. Depending on the input the returned
		* similar faces list contains faceIds or persistedFaceIds ranked by similarity.
		* or a large face list. faceId array contains the faces created by [Face - Detect With
		* Url](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl) or [Face - Detect With
		* Stream](https://docs.microsoft.com/rest/api/faceapi/face/detectwithstream), which will expire at
		* the time specified by faceIdTimeToLive after creation. A "faceListId" is created by [FaceList -
		* Create](https://docs.microsoft.com/rest/api/faceapi/facelist/create) containing persistedFaceIds
		* that will not expire. And a "largeFaceListId" is created by [LargeFaceList -
		* Create](https://docs.microsoft.com/rest/api/faceapi/largefacelist/create) containing
		* persistedFaceIds that will also not expire. Depending on the input the returned similar faces
		* list contains faceIds or persistedFaceIds ranked by similarity.
		* <br/>Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the
		@@ -32,3 +33,4 @@ * default mode that it tries to find faces of the same person as possible by using internal
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param [options] The optional parameters
		@@ -40,3 +42,4 @@ * @returns Promise<Models.FaceFindSimilarResponse>
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param callback The callback
		@@ -47,3 +50,4 @@ */
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param options The optional parameters
		@@ -63,4 +67,4 @@ * @param callback The callback
		* * Group API needs at least 2 candidate faces and 1000 at most. We suggest to try [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface) when
		* you only have 2 candidate faces.
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface) when you only have 2
		* candidate faces.
		* * The 'recognitionModel' associated with the query faces' faceIds should be the same.
		@@ -91,5 +95,4 @@ * @param faceIds Array of candidate faceId created by Face - Detect. The maximum is 1000 faces
		* identification. See more in [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/train) and
		* [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/train).
		* Train](https://docs.microsoft.com/rest/api/faceapi/persongroup/train) and [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/train).
		* <br/>
		@@ -106,5 +109,4 @@ *
		* confidenceThreshold. If no person is identified, the returned candidates will be an empty array.
		* * Try [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar) when you
		* need to find similar faces from a face list/large face list instead of a person group/large
		* * Try [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) when
		* you need to find similar faces from a face list/large face list instead of a person group/large
		* person group.
		@@ -165,11 +167,11 @@ * * The 'recognitionModel' associated with the query faces' faceIds should be the same as the
		* is an identifier of the face feature and will be used in [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). The
		* stored face feature(s) will expire and be deleted 24 hours after the original detection call.
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). The stored face
		* feature(s) will expire and be deleted at the time specified by faceIdTimeToLive after the
		* original detection call.
		* * Optional parameters include faceId, landmarks, and attributes. Attributes include age, gender,
		* headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur,
		* exposure and noise. Some of the results returned for specific attributes may not be highly
		* accurate.
		* exposure, noise, and mask. Some of the results returned for specific attributes may not be
		* highly accurate.
		* * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
		@@ -180,8 +182,7 @@ * from 1KB to 6MB.
		* * For optimal results when querying [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar)
		* ('returnFaceId' is true), please use faces that are: frontal, clear, and with a minimum size of
		* 200x200 pixels (100 pixels between eyes).
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) ('returnFaceId' is true),
		* please use faces that are: frontal, clear, and with a minimum size of 200x200 pixels (100 pixels
		* between eyes).
		* * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
		@@ -192,12 +193,3 @@ * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		*
		@@ -209,12 +201,4 @@ * * Different 'recognitionModel' values are provided. If follow-up operations like Verify,
		* faceIds will be associated with the specified recognition model. More details, please refer to
		* [How to specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'recognition_01': \| The default recognition model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl). All
		* those faceIds created before 2019 March are bonded with this recognition model. \|
		* \| 'recognition_02': \| Recognition model released in 2019 March. \|
		* \| 'recognition_03': \| Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'. \|
		* [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param url Publicly reachable URL of an image
		@@ -265,11 +249,11 @@ * @param [options] The optional parameters
		* is an identifier of the face feature and will be used in [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). The
		* stored face feature(s) will expire and be deleted 24 hours after the original detection call.
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). The stored face
		* feature(s) will expire and be deleted at the time specified by faceIdTimeToLive after the
		* original detection call.
		* * Optional parameters include faceId, landmarks, and attributes. Attributes include age, gender,
		* headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur,
		* exposure and noise. Some of the results returned for specific attributes may not be highly
		* accurate.
		* exposure, noise, and mask. Some of the results returned for specific attributes may not be
		* highly accurate.
		* * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
		@@ -280,8 +264,7 @@ * from 1KB to 6MB.
		* * For optimal results when querying [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar)
		* ('returnFaceId' is true), please use faces that are: frontal, clear, and with a minimum size of
		* 200x200 pixels (100 pixels between eyes).
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) ('returnFaceId' is true),
		* please use faces that are: frontal, clear, and with a minimum size of 200x200 pixels (100 pixels
		* between eyes).
		* * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
		@@ -293,12 +276,2 @@ * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		*
		* * Different 'recognitionModel' values are provided. If follow-up operations like Verify,
		@@ -309,12 +282,4 @@ * Identify, Find Similar are needed, please specify the recognition model with 'recognitionModel'
		* faceIds will be associated with the specified recognition model. More details, please refer to
		* [How to specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'recognition_01': \| The default recognition model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl). All
		* those faceIds created before 2019 March are bonded with this recognition model. \|
		* \| 'recognition_02': \| Recognition model released in 2019 March. \|
		* \| 'recognition_03': \| Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'. \|
		* [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param image An image stream.
		@@ -321,0 +286,0 @@ * @param [options] The optional parameters

esm/operations/face.js

		@@ -231,3 +231,4 @@ /*
		Parameters.returnRecognitionModel,
		Parameters.detectionModel
		Parameters.detectionModel,
		Parameters.faceIdTimeToLive
		],
		@@ -304,3 +305,4 @@ requestBody: {
		Parameters.returnRecognitionModel,
		Parameters.detectionModel
		Parameters.detectionModel,
		Parameters.faceIdTimeToLive
		],
		@@ -307,0 +309,0 @@ requestBody: {

esm/operations/faceListOperations.d.ts

		@@ -16,17 +16,15 @@ import * as msRest from "@azure/ms-rest-js";
		* <br /> Face list is a list of faces, up to 1,000 faces, and used by [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar).
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar).
		* <br /> After creation, user should use [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl) to
		* import the faces. No image will be stored. Only the extracted face features are stored on server
		* until [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete) is called.
		* Face](https://docs.microsoft.com/rest/api/faceapi/facelist/addfacefromurl) to import the faces.
		* No image will be stored. Only the extracted face features are stored on server until [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
		* filtering, or as a light way face identification. But if the actual use is to identify person,
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup)
		* /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup)
		* and [Face - Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/faceapi/persongroup) /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup) and [Face -
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> Please consider
		* [LargeFaceList](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist) when
		* the face number is large. It can support up to 1,000,000 faces.
		* [LargeFaceList](https://docs.microsoft.com/rest/api/faceapi/largefacelist) when the face number
		* is large. It can support up to 1,000,000 faces.
		* <br />'recognitionModel' should be specified to associate with this face list. The default value
		@@ -38,8 +36,4 @@ * for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* model.
		* * 'recognition_01': The default recognition model for [FaceList-
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/create). All those
		* face lists created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* Please Refer to [Specify a face recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param faceListId Id referencing a particular face list.
		@@ -118,3 +112,3 @@ * @param [options] The optional parameters
		* To get face information inside faceList use [FaceList -
		* Get](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/get)
		* Get](https://docs.microsoft.com/rest/api/faceapi/facelist/get)
		* @param [options] The optional parameters
		@@ -161,7 +155,6 @@ * @returns Promise<Models.FaceListListResponse>
		* will be stored. Only the extracted face feature will be stored on server until [FaceList -
		* Delete Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/deleteface) or
		* [FaceList - Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete)
		* is called.
		* Delete Face](https://docs.microsoft.com/rest/api/faceapi/facelist/deleteface) or [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better detection and recognition precision. Please consider
		@@ -174,4 +167,4 @@ * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -186,12 +179,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param faceListId Id referencing a particular face list.
		@@ -221,7 +205,6 @@ * @param url Publicly reachable URL of an image
		* will be stored. Only the extracted face feature will be stored on server until [FaceList -
		* Delete Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/deleteface) or
		* [FaceList - Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete)
		* is called.
		* Delete Face](https://docs.microsoft.com/rest/api/faceapi/facelist/deleteface) or [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better detection and recognition precision. Please consider
		@@ -234,4 +217,4 @@ * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -246,12 +229,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param faceListId Id referencing a particular face list.
		@@ -258,0 +232,0 @@ * @param image An image stream.

esm/operations/largeFaceListOperations.d.ts

		@@ -16,18 +16,15 @@ import * as msRest from "@azure/ms-rest-js";
		* <br /> Large face list is a list of faces, up to 1,000,000 faces, and used by [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar).
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar).
		* <br /> After creation, user should use [LargeFaceList Face -
		* Add](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl) to
		* import the faces and [LargeFaceList -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/train) to make
		* it ready for [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). No image
		* Add](https://docs.microsoft.com/rest/api/faceapi/largefacelist/addfacefromurl) to import the
		* faces and [LargeFaceList -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largefacelist/train) to make it ready for
		* [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). No image
		* will be stored. Only the extracted face features are stored on server until [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is called.
		* <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
		* filtering, or as a light way face identification. But if the actual use is to identify person,
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup)
		* /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup)
		* and [Face - Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/faceapi/persongroup) /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup) and [Face -
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br/>'recognitionModel' should be specified to associate with this large face list. The default
		@@ -38,9 +35,4 @@ * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* features in a large face list can't be updated to features extracted by another version of
		* recognition model.
		* * 'recognition_01': The default recognition model for [LargeFaceList-
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/create). All
		* those large face lists created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* recognition model. Please refer to [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		*
		@@ -142,3 +134,3 @@ * Large face list quota:
		* To get face information inside largeFaceList use [LargeFaceList Face -
		* Get](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/getface)<br />
		* Get](https://docs.microsoft.com/rest/api/faceapi/largefacelist/getface)<br />
		* * Large face lists are stored in alphabetical order of largeFaceListId.
		@@ -258,9 +250,7 @@ * * "start" parameter (string, optional) is a user-provided largeFaceListId value that returned
		* will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
		* Face -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/deleteface) or
		* [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* Face - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/deleteface) or
		* [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -272,4 +262,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -285,11 +275,2 @@ * will cause failures.
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargeFaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		*
		@@ -342,9 +323,7 @@ * Quota:
		* will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
		* Face -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/deleteface) or
		* [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* Face - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/deleteface) or
		* [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -356,4 +335,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -368,12 +347,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargeFaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		*
		@@ -380,0 +350,0 @@ * Quota:

esm/operations/largePersonGroupOperations.d.ts

		@@ -19,13 +19,11 @@ import * as msRest from "@azure/ms-rest-js";
		* <br /> After creation, use [LargePersonGroup Person -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/create)
		* to add person into the group, and call [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/train) to get
		* this group ready for [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* Create](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/create) to add person
		* into the group, and call [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/train) to get this group
		* ready for [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> No image will be stored. Only the person's extracted face features and userData will be
		* stored on server until [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br/>'recognitionModel' should be specified to associate with this large person group. The
		@@ -36,9 +34,4 @@ * default value for 'recognitionModel' is 'recognition_01', if the latest model needed, please
		* Existing face features in a large person group can't be updated to features extracted by another
		* version of recognition model.
		* * 'recognition_01': The default recognition model for [LargePersonGroup -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/create). All
		* those large person groups created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* version of recognition model. Please refer to [Specify a face recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		*
		@@ -86,5 +79,4 @@ * Large person group quota:
		* recognitionModel. This API returns large person group information only, use [LargePersonGroup
		* Person -
		* List](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/list)
		* instead to retrieve person information under the large person group.
		* Person - List](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/list) instead
		* to retrieve person information under the large person group.
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -91,0 +83,0 @@ * @param [options] The optional parameters

esm/operations/largePersonGroupPerson.d.ts

		@@ -196,10 +196,9 @@ import * as msRest from "@azure/ms-rest-js";
		* PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/deleteface),
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/deleteface),
		* [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -212,4 +211,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -225,11 +224,2 @@ * will cause failures.
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargePersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -263,10 +253,9 @@ * @param personId Id referencing a particular person.
		* PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/deleteface),
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/deleteface),
		* [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -279,4 +268,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -291,12 +280,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargePersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -303,0 +283,0 @@ * @param personId Id referencing a particular person.

esm/operations/personGroupOperations.d.ts

		@@ -18,13 +18,10 @@ import * as msRest from "@azure/ms-rest-js";
		* <br /> After creation, use [PersonGroup Person -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/create) to
		* add persons into the group, and then call [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/train) to get this
		* group ready for [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* Create](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/create) to add persons
		* into the group, and then call [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/persongroup/train) to get this group ready
		* for [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> No image will be stored. Only the person's extracted face features and userData will be
		* stored on server until [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is called.
		* <br/>'recognitionModel' should be specified to associate with this person group. The default
		@@ -36,8 +33,2 @@ * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* recognition model.
		* * 'recognition_01': The default recognition model for [PersonGroup -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/create). All
		* those person groups created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		*
		@@ -48,3 +39,3 @@ * Person group quota:
		* * to handle larger scale face identification problem, please consider using
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup).
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup).
		* @param personGroupId Id referencing a particular person group.
		@@ -88,3 +79,3 @@ * @param [options] The optional parameters
		* personGroup, use [PersonGroup Person -
		* List](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/list).
		* List](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/list).
		* @param personGroupId Id referencing a particular person group.
		@@ -91,0 +82,0 @@ * @param [options] The optional parameters

esm/operations/personGroupPerson.d.ts

		@@ -170,10 +170,8 @@ import * as msRest from "@azure/ms-rest-js";
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -186,4 +184,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -220,10 +218,8 @@ * will cause failures.
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -236,4 +232,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* an error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -248,12 +244,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [PersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param personGroupId Id referencing a particular person group.
		@@ -286,10 +273,8 @@ * @param personId Id referencing a particular person.
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -302,4 +287,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* an error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -314,12 +299,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [PersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param personGroupId Id referencing a particular person group.
		@@ -326,0 +302,0 @@ * @param personId Id referencing a particular person.

LICENSE.txt

		The MIT License (MIT)

		Copyright (c) 2020 Microsoft
		Copyright (c) 2021 Microsoft

		@@ -5,0 +5,0 @@ Permission is hereby granted, free of charge, to any person obtaining a copy

package.json

		@@ -5,3 +5,3 @@ {
		"description": "FaceClient Library with typescript type definitions for node.js and browser.",
		"version": "4.1.0",
		"version": "4.2.0",
		"dependencies": {
		@@ -8,0 +8,0 @@ "@azure/ms-rest-js": "^2.0.4",

README.md

		@@ -27,3 +27,3 @@ ## An isomorphic javascript sdk for - FaceClient
		##### Sample code
		The following sample detects the facial features on the given image. To know more, refer to the [Azure Documentation on Face APIs](https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview)
		The following sample detects the facial features on the given image. To know more, refer to the [Azure Documentation on Face APIs](https://docs.microsoft.com/azure/cognitive-services/face/overview)

		@@ -30,0 +30,0 @@ ```javascript

src/faceClientContext.ts

		@@ -14,3 +14,3 @@ /*
		const packageName = "@azure/cognitiveservices-face";
		const packageVersion = "4.1.0";
		const packageVersion = "4.2.0";

		@@ -17,0 +17,0 @@ export class FaceClientContext extends msRest.ServiceClient {

src/models/faceMappers.ts

		@@ -33,2 +33,3 @@ /*
		Makeup,
		Mask,
		Noise,
		@@ -35,0 +36,0 @@ Occlusion,

src/models/mappers.ts

		@@ -681,2 +681,32 @@ /*

		export const Mask: msRest.CompositeMapper = {
		serializedName: "Mask",
		type: {
		name: "Composite",
		className: "Mask",
		modelProperties: {
		type: {
		nullable: false,
		serializedName: "type",
		type: {
		name: "Enum",
		allowedValues: [
		"noMask",
		"faceMask",
		"otherMaskOrOcclusion",
		"uncertain"
		]
		}
		},
		noseAndMouthCovered: {
		nullable: false,
		serializedName: "noseAndMouthCovered",
		type: {
		name: "Boolean"
		}
		}
		}
		}
		};

		export const FaceAttributes: msRest.CompositeMapper = {
		@@ -796,2 +826,9 @@ serializedName: "FaceAttributes",
		}
		},
		mask: {
		serializedName: "mask",
		type: {
		name: "Composite",
		className: "Mask"
		}
		}
		@@ -798,0 +835,0 @@ }

src/models/parameters.ts

		@@ -56,2 +56,19 @@ /*
		};
		export const faceIdTimeToLive: msRest.OperationQueryParameter = {
		parameterPath: [
		"options",
		"faceIdTimeToLive"
		],
		mapper: {
		serializedName: "faceIdTimeToLive",
		defaultValue: 86400,
		constraints: {
		InclusiveMaximum: 86400,
		InclusiveMinimum: 60
		},
		type: {
		name: "Number"
		}
		}
		};
		export const faceListId: msRest.OperationURLParameter = {
		@@ -182,3 +199,4 @@ parameterPath: "faceListId",
		"exposure",
		"noise"
		"noise",
		"mask"
		]
		@@ -185,0 +203,0 @@ }

141

src/operations/face.ts

		@@ -31,10 +31,11 @@ /*
		* Given query face's faceId, to search the similar-looking faces from a faceId array, a face list
		* or a large face list. faceId array contains the faces created by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), which
		* will expire 24 hours after creation. A "faceListId" is created by [FaceList -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/create) containing
		* persistedFaceIds that will not expire. And a "largeFaceListId" is created by [LargeFaceList -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/create)
		* containing persistedFaceIds that will also not expire. Depending on the input the returned
		* similar faces list contains faceIds or persistedFaceIds ranked by similarity.
		* or a large face list. faceId array contains the faces created by [Face - Detect With
		* Url](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl) or [Face - Detect With
		* Stream](https://docs.microsoft.com/rest/api/faceapi/face/detectwithstream), which will expire at
		* the time specified by faceIdTimeToLive after creation. A "faceListId" is created by [FaceList -
		* Create](https://docs.microsoft.com/rest/api/faceapi/facelist/create) containing persistedFaceIds
		* that will not expire. And a "largeFaceListId" is created by [LargeFaceList -
		* Create](https://docs.microsoft.com/rest/api/faceapi/largefacelist/create) containing
		* persistedFaceIds that will also not expire. Depending on the input the returned similar faces
		* list contains faceIds or persistedFaceIds ranked by similarity.
		* <br/>Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the
		@@ -49,3 +50,4 @@ * default mode that it tries to find faces of the same person as possible by using internal
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param [options] The optional parameters
		@@ -57,3 +59,4 @@ * @returns Promise<Models.FaceFindSimilarResponse>
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param callback The callback
		@@ -64,3 +67,4 @@ */
		* @param faceId FaceId of the query face. User needs to call Face - Detect first to get a valid
		* faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call
		* faceId. Note that this faceId is not persisted and will expire at the time specified by
		* faceIdTimeToLive after the detection call
		* @param options The optional parameters
		@@ -90,4 +94,4 @@ * @param callback The callback
		* * Group API needs at least 2 candidate faces and 1000 at most. We suggest to try [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface) when
		* you only have 2 candidate faces.
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface) when you only have 2
		* candidate faces.
		* * The 'recognitionModel' associated with the query faces' faceIds should be the same.
		@@ -128,5 +132,4 @@ * @param faceIds Array of candidate faceId created by Face - Detect. The maximum is 1000 faces
		* identification. See more in [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/train) and
		* [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/train).
		* Train](https://docs.microsoft.com/rest/api/faceapi/persongroup/train) and [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/train).
		* <br/>
		@@ -143,5 +146,4 @@ *
		* confidenceThreshold. If no person is identified, the returned candidates will be an empty array.
		* * Try [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar) when you
		* need to find similar faces from a face list/large face list instead of a person group/large
		* * Try [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) when
		* you need to find similar faces from a face list/large face list instead of a person group/large
		* person group.
		@@ -223,11 +225,11 @@ * * The 'recognitionModel' associated with the query faces' faceIds should be the same as the
		* is an identifier of the face feature and will be used in [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). The
		* stored face feature(s) will expire and be deleted 24 hours after the original detection call.
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). The stored face
		* feature(s) will expire and be deleted at the time specified by faceIdTimeToLive after the
		* original detection call.
		* * Optional parameters include faceId, landmarks, and attributes. Attributes include age, gender,
		* headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur,
		* exposure and noise. Some of the results returned for specific attributes may not be highly
		* accurate.
		* exposure, noise, and mask. Some of the results returned for specific attributes may not be
		* highly accurate.
		* * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
		@@ -238,8 +240,7 @@ * from 1KB to 6MB.
		* * For optimal results when querying [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar)
		* ('returnFaceId' is true), please use faces that are: frontal, clear, and with a minimum size of
		* 200x200 pixels (100 pixels between eyes).
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) ('returnFaceId' is true),
		* please use faces that are: frontal, clear, and with a minimum size of 200x200 pixels (100 pixels
		* between eyes).
		* * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
		@@ -250,12 +251,3 @@ * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		*
		@@ -267,12 +259,4 @@ * * Different 'recognitionModel' values are provided. If follow-up operations like Verify,
		* faceIds will be associated with the specified recognition model. More details, please refer to
		* [How to specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'recognition_01': \| The default recognition model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl). All
		* those faceIds created before 2019 March are bonded with this recognition model. \|
		* \| 'recognition_02': \| Recognition model released in 2019 March. \|
		* \| 'recognition_03': \| Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'. \|
		* [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param url Publicly reachable URL of an image
		@@ -344,11 +328,11 @@ * @param [options] The optional parameters
		* is an identifier of the face feature and will be used in [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). The
		* stored face feature(s) will expire and be deleted 24 hours after the original detection call.
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). The stored face
		* feature(s) will expire and be deleted at the time specified by faceIdTimeToLive after the
		* original detection call.
		* * Optional parameters include faceId, landmarks, and attributes. Attributes include age, gender,
		* headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur,
		* exposure and noise. Some of the results returned for specific attributes may not be highly
		* accurate.
		* exposure, noise, and mask. Some of the results returned for specific attributes may not be
		* highly accurate.
		* * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
		@@ -359,8 +343,7 @@ * from 1KB to 6MB.
		* * For optimal results when querying [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/verifyfacetoface), and
		* [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar)
		* ('returnFaceId' is true), please use faces that are: frontal, clear, and with a minimum size of
		* 200x200 pixels (100 pixels between eyes).
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face -
		* Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar) ('returnFaceId' is true),
		* please use faces that are: frontal, clear, and with a minimum size of 200x200 pixels (100 pixels
		* between eyes).
		* * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
		@@ -372,12 +355,2 @@ * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		*
		* * Different 'recognitionModel' values are provided. If follow-up operations like Verify,
		@@ -388,12 +361,4 @@ * Identify, Find Similar are needed, please specify the recognition model with 'recognitionModel'
		* faceIds will be associated with the specified recognition model. More details, please refer to
		* [How to specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'recognition_01': \| The default recognition model for [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl). All
		* those faceIds created before 2019 March are bonded with this recognition model. \|
		* \| 'recognition_02': \| Recognition model released in 2019 March. \|
		* \| 'recognition_03': \| Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'. \|
		* [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param image An image stream.
		@@ -603,3 +568,4 @@ * @param [options] The optional parameters
		Parameters.returnRecognitionModel,
		Parameters.detectionModel
		Parameters.detectionModel,
		Parameters.faceIdTimeToLive
		],
		@@ -684,3 +650,4 @@ requestBody: {
		Parameters.returnRecognitionModel,
		Parameters.detectionModel
		Parameters.detectionModel,
		Parameters.faceIdTimeToLive
		],
		@@ -687,0 +654,0 @@ requestBody: {

src/operations/faceListOperations.ts

		@@ -33,17 +33,15 @@ /*
		* <br /> Face list is a list of faces, up to 1,000 faces, and used by [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar).
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar).
		* <br /> After creation, user should use [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl) to
		* import the faces. No image will be stored. Only the extracted face features are stored on server
		* until [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete) is called.
		* Face](https://docs.microsoft.com/rest/api/faceapi/facelist/addfacefromurl) to import the faces.
		* No image will be stored. Only the extracted face features are stored on server until [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
		* filtering, or as a light way face identification. But if the actual use is to identify person,
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup)
		* /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup)
		* and [Face - Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/faceapi/persongroup) /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup) and [Face -
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> Please consider
		* [LargeFaceList](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist) when
		* the face number is large. It can support up to 1,000,000 faces.
		* [LargeFaceList](https://docs.microsoft.com/rest/api/faceapi/largefacelist) when the face number
		* is large. It can support up to 1,000,000 faces.
		* <br />'recognitionModel' should be specified to associate with this face list. The default value
		@@ -55,8 +53,4 @@ * for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* model.
		* * 'recognition_01': The default recognition model for [FaceList-
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/create). All those
		* face lists created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* Please Refer to [Specify a face recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		* @param faceListId Id referencing a particular face list.
		@@ -175,3 +169,3 @@ * @param [options] The optional parameters
		* To get face information inside faceList use [FaceList -
		* Get](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/get)
		* Get](https://docs.microsoft.com/rest/api/faceapi/facelist/get)
		* @param [options] The optional parameters
		@@ -238,7 +232,6 @@ * @returns Promise<Models.FaceListListResponse>
		* will be stored. Only the extracted face feature will be stored on server until [FaceList -
		* Delete Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/deleteface) or
		* [FaceList - Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete)
		* is called.
		* Delete Face](https://docs.microsoft.com/rest/api/faceapi/facelist/deleteface) or [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better detection and recognition precision. Please consider
		@@ -251,4 +244,4 @@ * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -263,12 +256,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param faceListId Id referencing a particular face list.
		@@ -309,7 +293,6 @@ * @param url Publicly reachable URL of an image
		* will be stored. Only the extracted face feature will be stored on server until [FaceList -
		* Delete Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/deleteface) or
		* [FaceList - Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/delete)
		* is called.
		* Delete Face](https://docs.microsoft.com/rest/api/faceapi/facelist/deleteface) or [FaceList -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/facelist/delete) is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better detection and recognition precision. Please consider
		@@ -322,4 +305,4 @@ * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -334,12 +317,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [FaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/facelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param faceListId Id referencing a particular face list.
		@@ -346,0 +320,0 @@ * @param image An image stream.

src/operations/largeFaceListOperations.ts

		@@ -33,18 +33,15 @@ /*
		* <br /> Large face list is a list of faces, up to 1,000,000 faces, and used by [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar).
		* Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar).
		* <br /> After creation, user should use [LargeFaceList Face -
		* Add](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl) to
		* import the faces and [LargeFaceList -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/train) to make
		* it ready for [Face - Find
		* Similar](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/findsimilar). No image
		* Add](https://docs.microsoft.com/rest/api/faceapi/largefacelist/addfacefromurl) to import the
		* faces and [LargeFaceList -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largefacelist/train) to make it ready for
		* [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/face/findsimilar). No image
		* will be stored. Only the extracted face features are stored on server until [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is called.
		* <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
		* filtering, or as a light way face identification. But if the actual use is to identify person,
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup)
		* /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup)
		* and [Face - Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* please use [PersonGroup](https://docs.microsoft.com/rest/api/faceapi/persongroup) /
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup) and [Face -
		* Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br/>'recognitionModel' should be specified to associate with this large face list. The default
		@@ -55,9 +52,4 @@ * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* features in a large face list can't be updated to features extracted by another version of
		* recognition model.
		* * 'recognition_01': The default recognition model for [LargeFaceList-
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/create). All
		* those large face lists created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* recognition model. Please refer to [Specify a recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		*
		@@ -209,3 +201,3 @@ * Large face list quota:
		* To get face information inside largeFaceList use [LargeFaceList Face -
		* Get](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/getface)<br />
		* Get](https://docs.microsoft.com/rest/api/faceapi/largefacelist/getface)<br />
		* * Large face lists are stored in alphabetical order of largeFaceListId.
		@@ -377,9 +369,7 @@ * * "start" parameter (string, optional) is a user-provided largeFaceListId value that returned
		* will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
		* Face -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/deleteface) or
		* [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* Face - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/deleteface) or
		* [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -391,4 +381,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -404,11 +394,2 @@ * will cause failures.
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargeFaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		*
		@@ -482,9 +463,7 @@ * Quota:
		* will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
		* Face -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/deleteface) or
		* [LargeFaceList -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/delete) is
		* Face - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/deleteface) or
		* [LargeFaceList - Delete](https://docs.microsoft.com/rest/api/faceapi/largefacelist/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -496,4 +475,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -508,12 +487,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargeFaceList - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largefacelist/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		*
		@@ -520,0 +490,0 @@ * Quota:

src/operations/largePersonGroupOperations.ts

		@@ -36,13 +36,11 @@ /*
		* <br /> After creation, use [LargePersonGroup Person -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/create)
		* to add person into the group, and call [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/train) to get
		* this group ready for [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* Create](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/create) to add person
		* into the group, and call [LargePersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/train) to get this group
		* ready for [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> No image will be stored. Only the person's extracted face features and userData will be
		* stored on server until [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br/>'recognitionModel' should be specified to associate with this large person group. The
		@@ -53,9 +51,4 @@ * default value for 'recognitionModel' is 'recognition_01', if the latest model needed, please
		* Existing face features in a large person group can't be updated to features extracted by another
		* version of recognition model.
		* * 'recognition_01': The default recognition model for [LargePersonGroup -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/create). All
		* those large person groups created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		* version of recognition model. Please refer to [Specify a face recognition
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-recognition-model).
		*
		@@ -123,5 +116,4 @@ * Large person group quota:
		* recognitionModel. This API returns large person group information only, use [LargePersonGroup
		* Person -
		* List](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/list)
		* instead to retrieve person information under the large person group.
		* Person - List](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/list) instead
		* to retrieve person information under the large person group.
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -128,0 +120,0 @@ * @param [options] The optional parameters

src/operations/largePersonGroupPerson.ts

		@@ -302,10 +302,9 @@ /*
		* PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/deleteface),
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/deleteface),
		* [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -318,4 +317,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -331,11 +330,2 @@ * will cause failures.
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargePersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -381,10 +371,9 @@ * @param personId Id referencing a particular person.
		* PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/deleteface),
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/deleteface),
		* [LargePersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/delete)
		* or [LargePersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroupperson/delete) or
		* [LargePersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/largepersongroup/delete)
		* is called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -397,4 +386,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -409,12 +398,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [LargePersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param largePersonGroupId Id referencing a particular large person group.
		@@ -421,0 +401,0 @@ * @param personId Id referencing a particular person.

src/operations/personGroupOperations.ts

		@@ -35,13 +35,10 @@ /*
		* <br /> After creation, use [PersonGroup Person -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/create) to
		* add persons into the group, and then call [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/train) to get this
		* group ready for [Face -
		* Identify](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/identify).
		* Create](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/create) to add persons
		* into the group, and then call [PersonGroup -
		* Train](https://docs.microsoft.com/rest/api/faceapi/persongroup/train) to get this group ready
		* for [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify).
		* <br /> No image will be stored. Only the person's extracted face features and userData will be
		* stored on server until [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* called.
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is called.
		* <br/>'recognitionModel' should be specified to associate with this person group. The default
		@@ -53,8 +50,2 @@ * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
		* recognition model.
		* * 'recognition_01': The default recognition model for [PersonGroup -
		* Create](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/create). All
		* those person groups created before 2019 March are bonded with this recognition model.
		* * 'recognition_02': Recognition model released in 2019 March.
		* * 'recognition_03': Recognition model released in 2020 May. 'recognition_03' is recommended
		* since its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
		*
		@@ -65,3 +56,3 @@ * Person group quota:
		* * to handle larger scale face identification problem, please consider using
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/cognitiveservices/face/largepersongroup).
		* [LargePersonGroup](https://docs.microsoft.com/rest/api/faceapi/largepersongroup).
		* @param personGroupId Id referencing a particular person group.
		@@ -125,3 +116,3 @@ * @param [options] The optional parameters
		* personGroup, use [PersonGroup Person -
		* List](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/list).
		* List](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/list).
		* @param personGroupId Id referencing a particular person group.
		@@ -128,0 +119,0 @@ * @param [options] The optional parameters

src/operations/personGroupPerson.ts

		@@ -264,10 +264,8 @@ /*
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -280,4 +278,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -326,10 +324,8 @@ * will cause failures.
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -342,4 +338,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* an error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -354,12 +350,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [PersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param personGroupId Id referencing a particular person group.
		@@ -404,10 +391,8 @@ * @param personId Id referencing a particular person.
		* Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/deleteface),
		* [PersonGroup Person -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/delete) or
		* [PersonGroup -
		* Delete](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroup/delete) is
		* Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/deleteface), [PersonGroup
		* Person - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroupperson/delete) or
		* [PersonGroup - Delete](https://docs.microsoft.com/rest/api/faceapi/persongroup/delete) is
		* called.
		* <br /> Note persistedFaceId is different from faceId generated by [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl).
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl).
		* * Higher face image quality means better recognition precision. Please consider high-quality
		@@ -420,4 +405,4 @@ * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
		* an error. If the provided "targetFace" rectangle is not returned from [Face -
		* Detect](https://docs.microsoft.com/rest/api/cognitiveservices/face/face/detectwithurl), there’s
		* no guarantee to detect and add the face successfully.
		* Detect](https://docs.microsoft.com/rest/api/faceapi/face/detectwithurl), there’s no guarantee to
		* detect and add the face successfully.
		* * Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions
		@@ -432,12 +417,3 @@ * will cause failures.
		* models, please refer to [How to specify a detection
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model)
		* \| Model \| Recommended use-case(s) \|
		* \| ---------- \| -------- \|
		* \| 'detection_01': \| The default detection model for [PersonGroup Person - Add
		* Face](https://docs.microsoft.com/rest/api/cognitiveservices/face/persongroupperson/addfacefromurl).
		* Recommend for near frontal face detection. For scenarios with exceptionally large angle
		* (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be
		* detected. \|
		* \| 'detection_02': \| Detection model released in 2019 May with improved accuracy especially on
		* small, side and blurry faces. \|
		* model](https://docs.microsoft.com/azure/cognitive-services/face/face-api-how-to-topics/specify-detection-model).
		* @param personGroupId Id referencing a particular person group.
		@@ -444,0 +420,0 @@ * @param personId Id referencing a particular person.

dist/cognitiveservices-face.js

Sorry, the diff of this file is too big to display

dist/cognitiveservices-face.js.map