@azure/cognitiveservices-face - npm Package Compare versions

Comparing version 3.0.0 to 3.1.0

dist/cognitiveservices-face.min.js

@@ -1,1 +0,1 @@
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i.Serializer(Ta),Aa={httpMethod:"PUT",path:"largefacelists/{largeFaceListId}",urlParameters:[ae,te],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r({},U,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Da},Ua={httpMethod:"GET",path:"largefacelists/{largeFaceListId}",urlParameters:[ae,te],queryParameters:[ue],responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:Da},xa={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}",urlParameters:[ae,te],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r({},A,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Da},wa={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}",urlParameters:[ae,te],responses:{200:{},default:{bodyMapper:p}},serializer:Da},Ba={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/training",urlParameters:[ae,te],responses:{200:{bodyMapper:k},default:{bodyMapper:p}},serializer:Da},va={httpMethod:"GET",path:"largefacelists",urlParameters:[ae],queryParameters:[ue],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"LargeFaceList"}}}}},default:{bodyMapper:p}},serializer:Da},Ha={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/train",urlParameters:[ae,te],responses:{202:{},default:{bodyMapper:p}},serializer:Da},Va={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[ae,te,oe],responses:{200:{},default:{bodyMapper:p}},serializer:Da},ka={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[ae,te,oe],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Da},ja={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[ae,te,oe],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r({},V,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Da},_a={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[ae,te],queryParameters:[Pe,fe],requestBody:{parameterPath:{url:"url"},mapper:r({},J,{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Da},$a={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[ae,te],queryParameters:[ye,Ne],responses:{200:{bodyMapper:{serializedName:"parsedResponse",type:{name:"Sequence",element:{type:{name:"Composite",className:"PersistedFace"}}}}},default:{bodyMapper:p}},serializer:Da},Qa={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[ae,te],queryParameters:[Pe,fe],requestBody:{parameterPath:"image",mapper:{required:!0,serializedName:"Image",type:{name:"Stream"}}},contentType:"application/octet-stream",responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Da},Wa=Object.freeze({APIError:p,ApplySnapshotRequest:j,ErrorModel:o,OperationStatus:W,Snapshot:_,SnapshotApplyHeaders:X,SnapshotTakeHeaders:K,TakeSnapshotRequest:$,UpdateSnapshotRequest:Q}),Ja=function(){function e(e){this.client=e}return e.prototype.take=function(e,a,r,t,s){return this.client.sendOperationRequest({type:e,objectId:a,applyScope:r,options:t},Xa,s)},e.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Ya,a)},e.prototype.get=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},Za,r)},e.prototype.update=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},er,r)},e.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},ar,r)},e.prototype.apply=function(e,a,r,t){return this.client.sendOperationRequest({snapshotId:e,objectId:a,options:r},rr,t)},e.prototype.getOperationStatus=function(e,a,r){return this.client.sendOperationRequest({operationId:e,options:a},tr,r)},e}(),Ka=new i.Serializer(Wa),Xa={httpMethod:"POST",path:"snapshots",urlParameters:[ae],requestBody:{parameterPath:{type:"type",objectId:"objectId",applyScope:"applyScope",userData:["options","userData"]},mapper:r({},$,{required:!0})},responses:{202:{headersMapper:K},default:{bodyMapper:p}},serializer:Ka},Ya={httpMethod:"GET",path:"snapshots",urlParameters:[ae],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:Ka},Za={httpMethod:"GET",path:"snapshots/{snapshotId}",urlParameters:[ae,ce],responses:{200:{bodyMapper:_},default:{bodyMapper:p}},serializer:Ka},er={httpMethod:"PATCH",path:"snapshots/{snapshotId}",urlParameters:[ae,ce],requestBody:{parameterPath:{applyScope:["options","applyScope"],userData:["options","userData"]},mapper:r({},Q,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Ka},ar={httpMethod:"DELETE",path:"snapshots/{snapshotId}",urlParameters:[ae,ce],responses:{200:{},default:{bodyMapper:p}},serializer:Ka},rr={httpMethod:"POST",path:"snapshots/{snapshotId}/apply",urlParameters:[ae,ce],requestBody:{parameterPath:{objectId:"objectId",mode:["options","mode"]},mapper:r({},j,{required:!0})},responses:{202:{headersMapper:X},default:{bodyMapper:p}},serializer:Ka},tr={httpMethod:"GET",path:"operations/{operationId}",urlParameters:[ae,{parameterPath:"operationId",mapper:{required:!0,serializedName:"operationId",type:{name:"Uuid"}}}],responses:{200:{bodyMapper:W},default:{bodyMapper:p}},serializer:Ka},sr=function(o){function e(e,a,r){var t=this;if(null==a)throw new Error("'endpoint' cannot be null.");if(null==e)throw new Error("'credentials' cannot be null.");if(r||(r={}),!r.userAgent){var s=i.getDefaultUserAgentValue();r.userAgent="@azure/cognitiveservices-face/3.0.0 "+s}return(t=o.call(this,e,r)||this).baseUri="{Endpoint}/face/v1.0",t.requestContentType="application/json; charset=utf-8",t.endpoint=a,t.credentials=e,t}return a(e,o),e}(i.ServiceClient),or=function(s){function e(e,a,r){var t=s.call(this,e,a,r)||this;return t.face=new ze(t),t.personGroupPerson=new Ge(t),t.personGroup=new ke(t),t.faceList=new Ze(t),t.largePersonGroupPerson=new la(t),t.largePersonGroup=new Ma(t),t.largeFaceList=new Ea(t),t.snapshot=new Ja(t),t}return a(e,s),e}(sr);e.FaceClient=or,e.FaceClientContext=sr,e.FaceModels=s,e.FaceMappers=Y,e.Face=ze,e.PersonGroupPerson=Ge,e.PersonGroupOperations=ke,e.FaceListOperations=Ze,e.LargePersonGroupPerson=la,e.LargePersonGroupOperations=Ma,e.LargeFaceListOperations=Ea,e.SnapshotOperations=Ja,Object.defineProperty(e,"__esModule",{value:!0})});
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this.client.sendOperationRequest({personGroupId:e,personId:a,persistedFaceId:r,options:t},Ve,s)},Ee.prototype.addFaceFromUrl=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,url:r,options:t},ke,s)},Ee.prototype.addFaceFromStream=function(e,a,r,t,s){return this.client.sendOperationRequest({personGroupId:e,personId:a,image:r,options:t},_e,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({},A,{required:!0})},responses:{200:{bodyMapper:B},default:{bodyMapper:p}},serializer:De},Ue={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},xe={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],responses:{200:{},default:{bodyMapper:p}},serializer:De},we={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],responses:{200:{bodyMapper:B},default:{bodyMapper:p}},serializer:De},Be={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}",urlParameters:[re,pe,ne],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r({},A,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:De},ve={httpMethod:"DELETE",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],responses:{200:{},default:{bodyMapper:p}},serializer:De},He={httpMethod:"GET",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:De},Ve={httpMethod:"PATCH",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces/{persistedFaceId}",urlParameters:[re,pe,ne,ie],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r({},V,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:De},ke={httpMethod:"POST",path:"persongroups/{personGroupId}/persons/{personId}/persistedfaces",urlParameters:[re,pe,ne],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r({},J,{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:De},_e={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({APIError:p,ErrorModel:i,FaceList:x,LargeFaceList:v,LargePersonGroup:H,MetaDataContract:U,NameAndUserDataContract:A,PersistedFace:D,Person:B,PersonGroup:w,TrainingStatus:k}),$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({},U,{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:w},default:{bodyMapper:p}},serializer:We},Ye={httpMethod:"PATCH",path:"persongroups/{personGroupId}",urlParameters:[re,pe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r({},A,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:We},Ze={httpMethod:"GET",path:"persongroups/{personGroupId}/training",urlParameters:[re,pe],responses:{200:{bodyMapper:k},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({APIError:p,ErrorModel:i,FaceList:x,ImageUrl:J,LargeFaceList:v,LargePersonGroup:H,MetaDataContract:U,NameAndUserDataContract:A,PersistedFace:D,Person:B,PersonGroup:w}),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({},U,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:oa},pa={httpMethod:"GET",path:"facelists/{faceListId}",urlParameters:[re,te],queryParameters:[ce],responses:{200:{bodyMapper:x},default:{bodyMapper:p}},serializer:oa},na={httpMethod:"PATCH",path:"facelists/{faceListId}",urlParameters:[re,te],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper: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({},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({APIError:p,ErrorModel:i,FaceList:x,ImageUrl:J,LargeFaceList:v,LargePersonGroup:H,MetaDataContract:U,NameAndUserDataContract:A,PersistedFace:D,Person:B,PersonGroup:w,UpdateFaceRequest:V}),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({},A,{required:!0})},responses:{200:{bodyMapper:B},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:B},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({},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({},V,{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({},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({APIError:p,ErrorModel:i,FaceList:x,LargeFaceList:v,LargePersonGroup:H,MetaDataContract:U,NameAndUserDataContract:A,PersistedFace:D,Person:B,PersonGroup:w,TrainingStatus:k}),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},Ua,r)},Ga.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},xa,a)},Ga.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largePersonGroupId:e,options:a},wa,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({},U,{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:H},default:{bodyMapper:p}},serializer:Oa},Aa={httpMethod:"PATCH",path:"largepersongroups/{largePersonGroupId}",urlParameters:[re,oe],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r({},A,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Oa},Ua={httpMethod:"GET",path:"largepersongroups/{largePersonGroupId}/training",urlParameters:[re,oe],responses:{200:{bodyMapper:k},default:{bodyMapper:p}},serializer:Oa},xa={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},wa={httpMethod:"POST",path:"largepersongroups/{largePersonGroupId}/train",urlParameters:[re,oe],responses:{202:{},default:{bodyMapper:p}},serializer:Oa},Ba=Object.freeze({APIError:p,ErrorModel:i,FaceList:x,ImageUrl:J,LargeFaceList:v,LargePersonGroup:H,MetaDataContract:U,NameAndUserDataContract:A,PersistedFace:D,Person:B,PersonGroup:w,TrainingStatus:k,UpdateFaceRequest:V}),va=(Ha.prototype.create=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ka,r)},Ha.prototype.get=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},_a,r)},Ha.prototype.update=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},ja,r)},Ha.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},$a,r)},Ha.prototype.getTrainingStatus=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Qa,r)},Ha.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},Wa,a)},Ha.prototype.train=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},Ja,r)},Ha.prototype.deleteFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Ka,t)},Ha.prototype.getFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Xa,t)},Ha.prototype.updateFace=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,persistedFaceId:a,options:r},Ya,t)},Ha.prototype.addFaceFromUrl=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,url:a,options:r},Za,t)},Ha.prototype.listFaces=function(e,a,r){return this.client.sendOperationRequest({largeFaceListId:e,options:a},er,r)},Ha.prototype.addFaceFromStream=function(e,a,r,t){return this.client.sendOperationRequest({largeFaceListId:e,image:a,options:r},ar,t)},Ha);function Ha(e){this.client=e}var Va=new o.Serializer(Ba),ka={httpMethod:"PUT",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"],recognitionModel:["options","recognitionModel"]},mapper:r({},U,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Va},_a={httpMethod:"GET",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],queryParameters:[ce],responses:{200:{bodyMapper:v},default:{bodyMapper:p}},serializer:Va},ja={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],requestBody:{parameterPath:{name:["options","name"],userData:["options","userData"]},mapper:r({},A,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Va},$a={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}",urlParameters:[re,se],responses:{200:{},default:{bodyMapper:p}},serializer:Va},Qa={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/training",urlParameters:[re,se],responses:{200:{bodyMapper:k},default:{bodyMapper:p}},serializer:Va},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:Va},Ja={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/train",urlParameters:[re,se],responses:{202:{},default:{bodyMapper:p}},serializer:Va},Ka={httpMethod:"DELETE",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],responses:{200:{},default:{bodyMapper:p}},serializer:Va},Xa={httpMethod:"GET",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Va},Ya={httpMethod:"PATCH",path:"largefacelists/{largeFaceListId}/persistedfaces/{persistedFaceId}",urlParameters:[re,se,ie],requestBody:{parameterPath:{userData:["options","userData"]},mapper:r({},V,{required:!0})},responses:{200:{},default:{bodyMapper:p}},serializer:Va},Za={httpMethod:"POST",path:"largefacelists/{largeFaceListId}/persistedfaces",urlParameters:[re,se],queryParameters:[ze,fe,ae],requestBody:{parameterPath:{url:"url"},mapper:r({},J,{required:!0})},responses:{200:{bodyMapper:D},default:{bodyMapper:p}},serializer:Va},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:Va},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:Va},rr=Object.freeze({APIError:p,ApplySnapshotRequest:_,ErrorModel:i,OperationStatus:W,Snapshot:j,SnapshotApplyHeaders:X,SnapshotTakeHeaders:K,TakeSnapshotRequest:$,UpdateSnapshotRequest:Q}),tr=(sr.prototype.take=function(e,a,r,t,s){return this.client.sendOperationRequest({type:e,objectId:a,applyScope:r,options:t},pr,s)},sr.prototype.list=function(e,a){return this.client.sendOperationRequest({options:e},nr,a)},sr.prototype.get=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},dr,r)},sr.prototype.update=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},lr,r)},sr.prototype.deleteMethod=function(e,a,r){return this.client.sendOperationRequest({snapshotId:e,options:a},mr,r)},sr.prototype.apply=function(e,a,r,t){return this.client.sendOperationRequest({snapshotId:e,objectId:a,options:r},ur,t)},sr.prototype.getOperationStatus=function(e,a,r){return this.client.sendOperationRequest({operationId:e,options:a},cr,r)},sr);function sr(e){this.client=e}var or,ir=new o.Serializer(rr),pr={httpMethod:"POST",path:"snapshots",urlParameters:[re],requestBody:{parameterPath:{type:"type",objectId:"objectId",applyScope:"applyScope",userData:["options","userData"]},mapper:r({},$,{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({},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({},_,{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=this;if(null==a)throw new Error("'endpoint' cannot be null.");if(null==e)throw new Error("'credentials' cannot be null.");if(!(r=r||{}).userAgent){var s=o.getDefaultUserAgentValue();r.userAgent="@azure/cognitiveservices-face/3.1.0 "+s}return(t=or.call(this,e,r)||this).baseUri="{Endpoint}/face/v1.0",t.requestContentType="application/json; charset=utf-8",t.endpoint=a,t.credentials=e,t}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 $e(t),t.faceList=new ta(t),t.largePersonGroupPerson=new ha(t),t.largePersonGroup=new Sa(t),t.largeFaceList=new va(t),t.snapshot=new tr(t),t}e.FaceClient=fr,e.FaceClientContext=yr,e.FaceModels=s,e.FaceMappers=Y,e.Face=Ie,e.PersonGroupPerson=Te,e.PersonGroupOperations=$e,e.FaceListOperations=ta,e.LargePersonGroupPerson=ha,e.LargePersonGroupOperations=Sa,e.LargeFaceListOperations=va,e.SnapshotOperations=tr,Object.defineProperty(e,"__esModule",{value:!0})});

esm/faceClientContext.js

@@ -13,3 +13,3 @@ /*
 var packageName = "@azure/cognitiveservices-face";
-var packageVersion = "3.0.0";
+var packageVersion = "3.1.0";
 var FaceClientContext = /** @class */ (function (_super) {
@@ -16,0 +16,0 @@ tslib_1.__extends(FaceClientContext, _super);

esm/models/parameters.d.ts

 import * as msRest from "@azure/ms-rest-js";
 export declare const applyScope: msRest.OperationQueryParameter;
+export declare const detectionModel: msRest.OperationQueryParameter;
 export declare const endpoint: msRest.OperationURLParameter;
@@ -4,0 +5,0 @@ export declare const faceListId: msRest.OperationURLParameter;

esm/models/parameters.js

@@ -29,2 +29,15 @@ /*
 };
+export var detectionModel = {
+    parameterPath: [
+        "options",
+        "detectionModel"
+    ],
+    mapper: {
+        serializedName: "detectionModel",
+        defaultValue: 'detection_01',
+        type: {
+            name: "String"
+        }
+    }
+};
 export var endpoint = {
@@ -134,3 +147,2 @@ parameterPath: "endpoint",
     mapper: {
-        nullable: false,
         serializedName: "recognitionModel",
@@ -137,0 +149,0 @@ defaultValue: 'recognition_01',

esm/operations/face.d.ts

@@ -156,26 +156,38 @@ import * as msRest from "@azure/ms-rest-js";
      * and attributes.<br />
-     * * Optional parameters including faceId, landmarks, and attributes. Attributes include age,
-     * gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories,
-     * blur, exposure and noise.
-     * * The extracted face feature, instead of the actual image, will be stored on server. The faceId
+     * * No image will be stored. Only the extracted face feature will be stored on server. The faceId
      * is an identifier of the face feature and will be used in [Face -
      * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239), [Face -
      * Verify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a), and [Face
-     * - Find Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237). It
-     * will expire 24 hours after the detection call.
-     * * Higher face image quality means better detection and recognition precision. Please consider
-     * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
-     * bigger.
+     * - Find Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237).
+     * The stored face feature(s) will expire and be deleted 24 hours 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.
      * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
      * from 1KB to 6MB.
-     * * Faces are detectable when its size is 36x36 to 4096x4096 pixels. If need to detect very small
-     * but clear faces, please try to enlarge the input image.
-     * * Up to 64 faces can be returned for an image. Faces are ranked by face rectangle size from
+     * * Up to 100 faces can be returned for an image. Faces are ranked by face rectangle size from
      * large to small.
-     * * Face detector prefer frontal and near-frontal faces. There are cases that faces may not be
-     * detected, e.g. exceptionally large face angles (head-pose) or being occluded, or wrong image
-     * orientation.
-     * * Attributes (age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup,
-     * occlusion, accessories, blur, exposure and noise) may not be perfectly accurate. HeadPose's
-     * pitch value is a reserved field and will always return 0.
+     * * For optimal results when querying [Face -
+     * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239), [Face -
+     * Verify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a), and [Face
+     * - Find Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237)
+     * ('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.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236). 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,
@@ -188,2 +200,9 @@ * Identify, Find Similar are needed, please specify the recognition model with 'recognitionModel'
      * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236). All those
+     * faceIds created before 2019 March are bonded with this recognition model. |
+     * | 'recognition_02': | Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'. |
      * @param url Publicly reachable URL of an image
@@ -230,4 +249,54 @@ * @param [options] The optional parameters
     /**
-     * Detect human faces in an image and returns face locations, and optionally with faceIds,
-     * landmarks, and attributes.
+     * Detect human faces in an image, return face rectangles, and optionally with faceIds, landmarks,
+     * and attributes.<br />
+     * * No image will be stored. Only the extracted face feature will be stored on server. The faceId
+     * is an identifier of the face feature and will be used in [Face -
+     * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239), [Face -
+     * Verify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a), and [Face
+     * - Find Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237).
+     * The stored face feature(s) will expire and be deleted 24 hours 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.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * Up to 100 faces can be returned for an image. Faces are ranked by face rectangle size from
+     * large to small.
+     * * For optimal results when querying [Face -
+     * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239), [Face -
+     * Verify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523a), and [Face
+     * - Find Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237)
+     * ('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.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236). 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,
+     * Identify, Find Similar are needed, please specify the recognition model with 'recognitionModel'
+     * parameter. The default value for 'recognitionModel' is 'recognition_01', if latest model needed,
+     * please explicitly specify the model you need in this parameter. Once specified, the detected
+     * faceIds will be associated with the specified recognition model. More details, please refer to
+     * [How to specify a recognition
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236). All those
+     * faceIds created before 2019 March are bonded with this recognition model. |
+     * | 'recognition_02': | Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'. |
      * @param image An image stream.
@@ -234,0 +303,0 @@ * @param [options] The optional parameters

esm/operations/face.js

@@ -230,3 +230,4 @@ /*
         Parameters.recognitionModel,
-        Parameters.returnRecognitionModel
+        Parameters.returnRecognitionModel,
+        Parameters.detectionModel
     ],
@@ -302,3 +303,4 @@ requestBody: {
         Parameters.recognitionModel,
-        Parameters.returnRecognitionModel
+        Parameters.returnRecognitionModel,
+        Parameters.detectionModel
     ],
@@ -305,0 +307,0 @@ requestBody: {

esm/operations/faceListOperations.d.ts

@@ -19,4 +19,5 @@ import * as msRest from "@azure/ms-rest-js";
      * Face](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395250) to import the
-     * faces. Faces are stored on server until [FaceList -
-     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524f) is called.
+     * faces. No image will be stored. Only the extracted face features are stored on server until
+     * [FaceList - Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524f)
+     * is called.
      * <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
@@ -31,8 +32,14 @@ * filtering, or as a light way face identification. But if the actual use is to identify person,
      * [LargeFaceList](/docs/services/563879b61984550e40cbbe8d/operations/5a157b68d2de3616c086f2cc)
-     * when the face number is large. It can support up to 1,000,000 faces. 'recognitionModel' should
-     * be specified to associate with this face list. The default value for 'recognitionModel' is
-     * 'recognition_01', if the latest model needed, please explicitly specify the model you need in
-     * this parameter. New faces that are added to an existing face list will use the recognition model
-     * that's already associated with the collection. Existing face features in a face list can't be
-     * updated to features extracted by another version of recognition model.
+     * 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
+     * for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
+     * specify the model you need in this parameter. New faces that are added to an existing face list
+     * will use the recognition model that's already associated with the collection. Existing face
+     * features in a face list can't be updated to features extracted by another version of recognition
+     * model.
+     * * 'recognition_01': The default recognition model for [FaceList-
+     * Create](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524b). All those
+     * face lists created before 2019 March are bonded with this recognition model.
+     * * 'recognition_02': Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'.
      * @param faceListId Id referencing a particular face list.
@@ -91,4 +98,3 @@ * @param [options] The optional parameters
     /**
-     * Delete an existing face list according to faceListId. Persisted face images in the face list
-     * will also be deleted.
+     * Delete a specified face list.
      * @param faceListId Id referencing a particular face list.
@@ -128,4 +134,5 @@ * @param [options] The optional parameters
     /**
-     * Delete an existing face from a face list (given by a persistedFaceId and a faceListId).
-     * Persisted image related to the face will also be deleted.
+     * Delete a face from a face list by specified faceListId and persistedFaceId.
+     * <br /> Adding/deleting faces to/from a same face list are processed sequentially and to/from
+     * different face lists are in parallel.
      * @param faceListId Id referencing a particular face list.
@@ -151,4 +158,38 @@ * @param persistedFaceId Id referencing a particular persistedFaceId of an existing face.
     /**
-     * Add a face to a face list. The input face is specified as an image with a targetFace rectangle.
-     * It returns a persistedFaceId representing the added face, and persistedFaceId will not expire.
+     * Add a face to a specified face list, up to 1,000 faces.
+     * <br /> To deal with an image contains multiple faces, input face can be specified as an image
+     * with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image
+     * will be stored. Only the extracted face feature will be stored on server until [FaceList -
+     * Delete Face](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395251) or
+     * [FaceList - Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524f)
+     * is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better detection and recognition precision. Please consider
+     * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
+     * bigger.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same face list are processed sequentially and to/from
+     * different face lists are in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395250). 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 faceListId Id referencing a particular face list.
@@ -174,4 +215,38 @@ * @param url Publicly reachable URL of an image
     /**
-     * Add a face to a face list. The input face is specified as an image with a targetFace rectangle.
-     * It returns a persistedFaceId representing the added face, and persistedFaceId will not expire.
+     * Add a face to a specified face list, up to 1,000 faces.
+     * <br /> To deal with an image contains multiple faces, input face can be specified as an image
+     * with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image
+     * will be stored. Only the extracted face feature will be stored on server until [FaceList -
+     * Delete Face](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395251) or
+     * [FaceList - Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039524f)
+     * is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better detection and recognition precision. Please consider
+     * high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or
+     * bigger.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same face list are processed sequentially and to/from
+     * different face lists are in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395250). 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 faceListId Id referencing a particular face list.
@@ -178,0 +253,0 @@ * @param image An image stream.

esm/operations/faceListOperations.js

@@ -228,3 +228,4 @@ /*
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -256,3 +257,4 @@ requestBody: {
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -259,0 +261,0 @@ requestBody: {

esm/operations/largeFaceListOperations.d.ts

@@ -21,5 +21,5 @@ import * as msRest from "@azure/ms-rest-js";
      * Train](/docs/services/563879b61984550e40cbbe8d/operations/5a158422d2de3616c086f2d1) to make it
-     * ready for [Face -
-     * FindSimilar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237). Faces
-     * are stored on server until [LargeFaceList -
+     * ready for [Face - Find
+     * Similar](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395237). No image
+     * will be stored. Only the extracted face features are stored on server until [LargeFaceList -
      * Delete](/docs/services/563879b61984550e40cbbe8d/operations/5a1580d5d2de3616c086f2cd) is called.
@@ -33,8 +33,4 @@ * <br /> Find Similar is used for scenario like finding celebrity-like faces, similar face
      * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239).
-     * <br />
-     * * Free-tier subscription quota: 64 large face lists.
-     * * S0-tier subscription quota: 1,000,000 large face lists.
-     * <br />
-     * 'recognitionModel' should be specified to associate with this large face list. The default value
-     * for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
+     * <br/>'recognitionModel' should be specified to associate with this large face list. The default
+     * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
      * specify the model you need in this parameter. New faces that are added to an existing large face
@@ -44,2 +40,11 @@ * list will use the recognition model that's already associated with the collection. Existing face
      * recognition model.
+     * * 'recognition_01': The default recognition model for [LargeFaceList-
+     * Create](/docs/services/563879b61984550e40cbbe8d/operations/5a157b68d2de3616c086f2cc). All those
+     * large face lists created before 2019 March are bonded with this recognition model.
+     * * 'recognition_02': Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'.
+     *
+     * Large face list quota:
+     * * Free-tier subscription quota: 64 large face lists.
+     * * S0-tier subscription quota: 1,000,000 large face lists.
      * @param largeFaceListId Id referencing a particular large face list.
@@ -98,4 +103,3 @@ * @param [options] The optional parameters
     /**
-     * Delete an existing large face list according to faceListId. Persisted face images in the large
-     * face list will also be deleted.
+     * Delete a specified large face list.
      * @param largeFaceListId Id referencing a particular large face list.
@@ -184,4 +188,5 @@ * @param [options] The optional parameters
     /**
-     * Delete an existing face from a large face list (given by a persistedFaceId and a
-     * largeFaceListId). Persisted image related to the face will also be deleted.
+     * Delete a face from a large face list by specified largeFaceListId and persistedFaceId.
+     * <br /> Adding/deleting faces to/from a same large face list are processed sequentially and
+     * to/from different large face lists are in parallel.
      * @param largeFaceListId Id referencing a particular large face list.
@@ -250,5 +255,41 @@ * @param persistedFaceId Id referencing a particular persistedFaceId of an existing face.
     /**
-     * Add a face to a large face list. The input face is specified as an image with a targetFace
-     * rectangle. It returns a persistedFaceId representing the added face, and persistedFaceId will
-     * not expire.
+     * Add a face to a specified large face list, up to 1,000,000 faces.
+     * <br /> To deal with an image contains multiple faces, input face can be specified as an image
+     * with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image
+     * will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
+     * Face - Delete](/docs/services/563879b61984550e40cbbe8d/operations/5a158c8ad2de3616c086f2d4) or
+     * [LargeFaceList -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/5a1580d5d2de3616c086f2cd) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same face list are processed sequentially and to/from
+     * different face lists are in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/5a158c10d2de3616c086f2d3). 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. |
+     *
+     * Quota:
+     * * Free-tier subscription quota: 1,000 faces per large face list.
+     * * S0-tier subscription quota: 1,000,000 faces per large face list.
      * @param largeFaceListId Id referencing a particular large face list.
@@ -293,5 +334,41 @@ * @param url Publicly reachable URL of an image
     /**
-     * Add a face to a large face list. The input face is specified as an image with a targetFace
-     * rectangle. It returns a persistedFaceId representing the added face, and persistedFaceId will
-     * not expire.
+     * Add a face to a specified large face list, up to 1,000,000 faces.
+     * <br /> To deal with an image contains multiple faces, input face can be specified as an image
+     * with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image
+     * will be stored. Only the extracted face feature will be stored on server until [LargeFaceList
+     * Face - Delete](/docs/services/563879b61984550e40cbbe8d/operations/5a158c8ad2de3616c086f2d4) or
+     * [LargeFaceList -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/5a1580d5d2de3616c086f2cd) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same face list are processed sequentially and to/from
+     * different face lists are in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/5a158c10d2de3616c086f2d3). 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. |
+     *
+     * Quota:
+     * * Free-tier subscription quota: 1,000 faces per large face list.
+     * * S0-tier subscription quota: 1,000,000 faces per large face list.
      * @param largeFaceListId Id referencing a particular large face list.
@@ -298,0 +375,0 @@ * @param image An image stream.

esm/operations/largeFaceListOperations.js

@@ -335,3 +335,4 @@ /*
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -395,3 +396,4 @@ requestBody: {
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -398,0 +400,0 @@ requestBody: {

esm/operations/largePersonGroupOperations.d.ts

@@ -15,4 +15,5 @@ import * as msRest from "@azure/ms-rest-js";
      * userData and recognitionModel.
-     * <br /> A large person group is the container of the uploaded person data, including face images
-     * and face recognition feature, and up to 1,000,000 people.
+     * <br /> A large person group is the container of the uploaded person data, including face
+     * recognition feature, and up to 1,000,000
+     * people.
      * <br /> After creation, use [LargePersonGroup Person -
@@ -24,16 +25,22 @@ * Create](/docs/services/563879b61984550e40cbbe8d/operations/599adcba3a7b9412a4d53f40) to add
      * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239).
-     * <br /> The person face, image, and userData will be stored on server until [LargePersonGroup
-     * Person - Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ade5c6ac60f11b48b5aa2) or
+     * <br /> No image will be stored. Only the person's extracted face features and userData will be
+     * stored on server until [LargePersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ade5c6ac60f11b48b5aa2) or
      * [LargePersonGroup -
      * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599adc216ac60f11b48b5a9f) is called.
-     * <br />
+     * <br/>'recognitionModel' should be specified to associate with this large person group. The
+     * default value for 'recognitionModel' is 'recognition_01', if the latest model needed, please
+     * explicitly specify the model you need in this parameter. New faces that are added to an existing
+     * large person group will use the recognition model that's already associated with the collection.
+     * 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](/docs/services/563879b61984550e40cbbe8d/operations/599acdee6ac60f11b48b5a9d). All those
+     * large person groups created before 2019 March are bonded with this recognition model.
+     * * 'recognition_02': Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'.
+     *
+     * Large person group quota:
      * * Free-tier subscription quota: 1,000 large person groups.
      * * S0-tier subscription quota: 1,000,000 large person groups.
-     * <br />
-     * 'recognitionModel' should be specified to associate with this large person group. The default
-     * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
-     * specify the model you need in this parameter. New faces that are added to an existing large
-     * person group will use the recognition model that's already associated with the collection.
-     * Existing face features in a large person group can't be updated to features extracted by another
-     * version of recognition model.
      * @param largePersonGroupId Id referencing a particular large person group.
@@ -40,0 +47,0 @@ * @param [options] The optional parameters

esm/operations/largePersonGroupPerson.d.ts

@@ -50,4 +50,4 @@ import * as msRest from "@azure/ms-rest-js";
     /**
-     * Delete an existing person from a large person group. All stored person data, and face features
-     * in the person entry will be deleted.
+     * Delete an existing person from a large person group. The persistedFaceId, userData, person name
+     * and face feature in the person entry will all be deleted.
      * @param largePersonGroupId Id referencing a particular large person group.
@@ -73,3 +73,4 @@ * @param personId Id referencing a particular person.
     /**
-     * Retrieve a person's information, including registered persisted faces, name and userData.
+     * Retrieve a person's name and userData, and the persisted faceIds representing the registered
+     * person face feature.
      * @param largePersonGroupId Id referencing a particular large person group.
@@ -116,3 +117,6 @@ * @param personId Id referencing a particular person.
     /**
-     * Delete a face from a person. Relative feature for the persisted face will also be deleted.
+     * Delete a face from a person in a large person group by specified largePersonGroupId, personId
+     * and persistedFaceId.
+     * <br /> Adding/deleting faces to/from a same person will be processed sequentially.
+     * Adding/deleting faces to/from different persons are processed in parallel.
      * @param largePersonGroupId Id referencing a particular large person group.
@@ -190,4 +194,41 @@ * @param personId Id referencing a particular person.
     /**
-     * Add a representative face to a person for identification. The input face is specified as an
-     * image with a targetFace rectangle.
+     * Add a face to a person into a large person group for face identification or verification. To
+     * deal with an image contains multiple faces, input face can be specified as an image with a
+     * targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be
+     * stored. Only the extracted face feature will be stored on server until [LargePersonGroup
+     * PersonFace -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ae2966ac60f11b48b5aa3),
+     * [LargePersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ade5c6ac60f11b48b5aa2) or
+     * [LargePersonGroup -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599adc216ac60f11b48b5a9f) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * * Each person entry can hold up to 248 faces.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting
+     * faces to/from different persons are processed in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/599adf2a3a7b9412a4d53f42). 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.
@@ -216,4 +257,41 @@ * @param personId Id referencing a particular person.
     /**
-     * Add a representative face to a person for identification. The input face is specified as an
-     * image with a targetFace rectangle.
+     * Add a face to a person into a large person group for face identification or verification. To
+     * deal with an image contains multiple faces, input face can be specified as an image with a
+     * targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be
+     * stored. Only the extracted face feature will be stored on server until [LargePersonGroup
+     * PersonFace -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ae2966ac60f11b48b5aa3),
+     * [LargePersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599ade5c6ac60f11b48b5aa2) or
+     * [LargePersonGroup -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/599adc216ac60f11b48b5a9f) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * * Each person entry can hold up to 248 faces.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting
+     * faces to/from different persons are processed in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/599adf2a3a7b9412a4d53f42). 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.
@@ -220,0 +298,0 @@ * @param personId Id referencing a particular person.

esm/operations/largePersonGroupPerson.js

@@ -298,3 +298,4 @@ /*
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -327,3 +328,4 @@ requestBody: {
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -330,0 +332,0 @@ requestBody: {

esm/operations/personGroupOperations.d.ts

@@ -15,4 +15,4 @@ import * as msRest from "@azure/ms-rest-js";
      * recognitionModel.
-     * <br /> A person group is the container of the uploaded person data, including face images and
-     * face recognition features.
+     * <br /> A person group is the container of the uploaded person data, including face recognition
+     * features.
      * <br /> After creation, use [PersonGroup Person -
@@ -24,7 +24,20 @@ * Create](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523c) to add
      * Identify](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395239).
-     * <br /> The person's face, image, and userData will be stored on server until [PersonGroup Person
-     * - Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523d) or
+     * <br /> No image will be stored. Only the person's extracted face features and userData will be
+     * stored on server until [PersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523d) or
      * [PersonGroup -
      * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395245) is called.
-     * <br />
+     * <br/>'recognitionModel' should be specified to associate with this person group. The default
+     * value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
+     * specify the model you need in this parameter. New faces that are added to an existing person
+     * group will use the recognition model that's already associated with the collection. Existing
+     * face features in a person group can't be updated to features extracted by another version of
+     * recognition model.
+     * * 'recognition_01': The default recognition model for [PersonGroup -
+     * Create](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395244). All those
+     * person groups created before 2019 March are bonded with this recognition model.
+     * * 'recognition_02': Recognition model released in 2019 March. 'recognition_02' is recommended
+     * since its overall accuracy is improved compared with 'recognition_01'.
+     *
+     * Person group quota:
      * * Free-tier subscription quota: 1,000 person groups. Each holds up to 1,000 persons.
@@ -34,9 +47,2 @@ * * S0-tier subscription quota: 1,000,000 person groups. Each holds up to 10,000 persons.
      * [LargePersonGroup](/docs/services/563879b61984550e40cbbe8d/operations/599acdee6ac60f11b48b5a9d).
-     * <br />
-     * 'recognitionModel' should be specified to associate with this person group. The default value
-     * for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly
-     * specify the model you need in this parameter. New faces that are added to an existing person
-     * group will use the recognition model that's already associated with the collection. Existing
-     * face features in a person group can't be updated to features extracted by another version of
-     * recognition model.
      * @param personGroupId Id referencing a particular person group.
@@ -43,0 +49,0 @@ * @param [options] The optional parameters

esm/operations/personGroupPerson.d.ts

@@ -50,4 +50,4 @@ import * as msRest from "@azure/ms-rest-js";
     /**
-     * Delete an existing person from a person group. All stored person data, and face features in the
-     * person entry will be deleted.
+     * Delete an existing person from a person group. The persistedFaceId, userData, person name and
+     * face feature in the person entry will all be deleted.
      * @param personGroupId Id referencing a particular person group.
@@ -115,3 +115,6 @@ * @param personId Id referencing a particular person.
     /**
-     * Delete a face from a person. Relative feature for the persisted face will also be deleted.
+     * Delete a face from a person in a person group by specified personGroupId, personId and
+     * persistedFaceId.
+     * <br /> Adding/deleting faces to/from a same person will be processed sequentially.
+     * Adding/deleting faces to/from different persons are processed in parallel.
      * @param personGroupId Id referencing a particular person group.
@@ -165,3 +168,26 @@ * @param personId Id referencing a particular person.
     /**
-     * Update a person persisted face's userData field.
+     * Add a face to a person into a person group for face identification or verification. To deal with
+     * an image contains multiple faces, input face can be specified as an image with a targetFace
+     * rectangle. It returns a persistedFaceId representing the added face. No image will be stored.
+     * Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523e),
+     * [PersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523d) or
+     * [PersonGroup -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395245) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * * Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * * Each person entry can hold up to 248 faces.
+     * * JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is
+     * from 1KB to 6MB.
+     * * "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an
+     * error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * * Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting
+     * faces to/from different persons are processed in parallel.
      * @param personGroupId Id referencing a particular person group.
@@ -190,4 +216,40 @@ * @param personId Id referencing a particular person.
     /**
-     * Add a representative face to a person for identification. The input face is specified as an
-     * image with a targetFace rectangle.
+     * Add a face to a person into a person group for face identification or verification. To deal with
+     * an image contains multiple faces, input face can be specified as an image with a targetFace
+     * rectangle. It returns a persistedFaceId representing the added face. No image will be stored.
+     * Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523e),
+     * [PersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523d) or
+     * [PersonGroup -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395245) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * *   Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * *   Each person entry can hold up to 248 faces.
+     * *   JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size
+     * is from 1KB to 6MB.
+     * *   "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as
+     * an error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * *   Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting
+     * faces to/from different persons are processed in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523b). 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 personGroupId Id referencing a particular person group.
@@ -216,4 +278,40 @@ * @param personId Id referencing a particular person.
     /**
-     * Add a representative face to a person for identification. The input face is specified as an
-     * image with a targetFace rectangle.
+     * Add a face to a person into a person group for face identification or verification. To deal with
+     * an image contains multiple faces, input face can be specified as an image with a targetFace
+     * rectangle. It returns a persistedFaceId representing the added face. No image will be stored.
+     * Only the extracted face feature will be stored on server until [PersonGroup PersonFace -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523e),
+     * [PersonGroup Person -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523d) or
+     * [PersonGroup -
+     * Delete](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395245) is called.
+     * <br /> Note persistedFaceId is different from faceId generated by [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236).
+     * *   Higher face image quality means better recognition precision. Please consider high-quality
+     * faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
+     * *   Each person entry can hold up to 248 faces.
+     * *   JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size
+     * is from 1KB to 6MB.
+     * *   "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as
+     * an error. If the provided "targetFace" rectangle is not returned from [Face -
+     * Detect](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236), 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
+     * will cause failures.
+     * *   Adding/deleting faces to/from a same person will be processed sequentially. Adding/deleting
+     * faces to/from different persons are processed in parallel.
+     * * The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels.
+     * Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum
+     * face size.
+     * * Different 'detectionModel' values can be provided. To use and compare different detection
+     * models, please refer to [How to specify a detection
+     * model](https://docs.microsoft.com/en-us/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](/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f3039523b). 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 personGroupId Id referencing a particular person group.
@@ -220,0 +318,0 @@ * @param personId Id referencing a particular person.

esm/operations/personGroupPerson.js

@@ -298,3 +298,4 @@ /*
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -327,3 +328,4 @@ requestBody: {
         Parameters.userData,
-        Parameters.targetFace
+        Parameters.targetFace,
+        Parameters.detectionModel
     ],
@@ -330,0 +332,0 @@ requestBody: {

LICENSE.txt

@@ -0,0 +0,0 @@ The MIT License (MIT)

package.json

@@ -5,5 +5,5 @@ {
   "description": "FaceClient Library with typescript type definitions for node.js and browser.",
-  "version": "3.0.0",
+  "version": "3.1.0",
   "dependencies": {
-    "@azure/ms-rest-js": "^1.6.0",
+    "@azure/ms-rest-js": "^1.8.1",
     "tslib": "^1.9.3"
@@ -29,9 +29,9 @@ },
   },
-  "homepage": "https://github.com/azure/azure-sdk-for-js/tree/master/packages/@azure/cognitiveservices-face",
+  "homepage": "https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/cognitiveservices/cognitiveservices-face",
   "repository": {
     "type": "git",
-    "url": "https://github.com/azure/azure-sdk-for-js.git"
+    "url": "https://github.com/Azure/azure-sdk-for-js.git"
   },
   "bugs": {
-    "url": "https://github.com/azure/azure-sdk-for-js/issues"
+    "url": "https://github.com/Azure/azure-sdk-for-js/issues"
   },
@@ -47,3 +47,3 @@ "files": [
     "esm/**/*.d.ts.map",
-    "lib/**/*.ts",
+    "src/**/*.ts",
     "README.md",
@@ -50,0 +50,0 @@ "rollup.config.js",

README.md

@@ -101,1 +101,3 @@ ## An isomorphic javascript sdk for - FaceClient
 - [Microsoft Azure SDK for Javascript](https://github.com/Azure/azure-sdk-for-js)
+
+![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-js/sdk/cognitiveservices/cognitiveservices-face/README.png)

tsconfig.json

@@ -17,4 +17,4 @@ {
   },
-  "include": ["./lib/**/*.ts"],
+  "include": ["./src/**/*.ts"],
   "exclude": ["node_modules"]
 }

New alerts

No website

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Package does not have a website.

Found 1 instance in 1 package

Fixed alerts

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Quality

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Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

1512354

increased by8.25%

Lines of code

23774

increased by4.67%

Number of lines in readme file

103

increased by1.98%

Dependency changes

• Updated@azure/ms-rest-js@^1.8.1