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This library is based on @vonage/media-processor, MediaPipe and TFLite",source:"@site/docs/intro.md",sourceDirName:".",slug:"/intro",permalink:"/ml-transformers-docs/docs/intro",draft:!1,tags:[],version:"current",sidebarPosition:1,frontMatter:{sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"VirtualBackgroundConfig",permalink:"/ml-transformers-docs/docs/api/interfaces/VirtualBackgroundConfig"},next:{title:"Renderers",permalink:"/ml-transformers-docs/docs/renderers"}},l={},p=[{value:"@vonage/media-processor",id:"vonagemedia-processor",level:3},{value:"MediaPipe",id:"mediapipe",level:3},{value:"Sample applications",id:"sample-applications",level:2},{value:"Background visual effects (out-of-the-box solution)",id:"background-visual-effects-out-of-the-box-solution",level:2},{value:"Implementation details:",id:"implementation-details",level:3},{value:"Configure",id:"configure",level:3},{value:"Blur:",id:"blur",level:4},{value:"Silhouette:",id:"silhouette",level:4},{value:"Virtual (image):",id:"virtual-image",level:4},{value:"Video:",id:"video",level:4},{value:"Create Media Processor",id:"create-media-processor",level:3},{value:"Change configuration",id:"change-configuration",level:3},{value:"Disable/enable processing",id:"disableenable-processing",level:3},{value:"Errors, Warnings and Statistics",id:"errors-warnings-and-statistics",level:3},{value:"isSupported",id:"issupported",level:4},{value:"Emitter Registration",id:"emitter-registration",level:4},{value:"Frame Drop warning",id:"frame-drop-warning",level:4},{value:"Statistics",id:"statistics",level:4},{value:"Turn statistics on:",id:"turn-statistics-on",level:5},{value:"Turn statistics off: (by default the statistics are off)",id:"turn-statistics-off-by-default-the-statistics-are-off",level:5},{value:"MediaPipe Helper",id:"mediapipe-helper",level:2},{value:"Configure MediaPipe solution",id:"configure-mediapipe-solution",level:3},{value:"Face Mesh:",id:"face-mesh",level:4},{value:"Face Detection:",id:"face-detection",level:4},{value:"Hands:",id:"hands",level:4},{value:"Holistic:",id:"holistic",level:4},{value:"Objectron:",id:"objectron",level:4},{value:"Pose:",id:"pose",level:4},{value:"Selfie Segmentation:",id:"selfie-segmentation",level:4},{value:"MediaPipe Helper",id:"mediapipe-helper-1",level:3},{value:"Create MediaPipe helper:",id:"create-mediapipe-helper",level:4},{value:"Using MediaPipe helper class:",id:"using-mediapipe-helper-class",level:4},{value:"Create transformer:",id:"create-transformer",level:4},{value:"Use the transformer:",id:"use-the-transformer",level:4},{value:"License",id:"license",level:2}],c={toc:p},d="wrapper";function m(e){let{components:t,...a}=e;return(0,r.kt)(d,(0,n.Z)({},c,a,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"vonage-ml-transformers"},"Vonage ML Transformers"),(0,r.kt)("p",null,"Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://www.npmjs.com/package/@vonage/media-processor"},"@vonage/media-processor")),", ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://google.github.io/mediapipe/getting_started/javascript.html"},"MediaPipe"))," and ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://www.tensorflow.org/lite"},"TFLite"))),(0,r.kt)("h3",{id:"vonagemedia-processor"},"@vonage/media-processor"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Media Processor")," library is Vonage implementation for insertable streams for supported browsers. Documentation can be found ",(0,r.kt)("a",{parentName:"p",href:"https://vonage.github.io/media-processor-docs/"},"here"),"."),(0,r.kt)("h3",{id:"mediapipe"},"MediaPipe"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"MediaPipe")," library is an open source library under MIT license, this library use for video enhancements.\nFor our solution of background blur/replacement we use the ",(0,r.kt)("a",{parentName:"p",href:"https://google.github.io/mediapipe/solutions/selfie_segmentation.html"},"Selfie Segmentation")," solution of MediaPipe.\nThe library adds the support for all MediaPipe JS solutions. This helps developers create cool things with any MediaPipe JS module."),(0,r.kt)("p",null,"For example:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Funny hats"),(0,r.kt)("li",{parentName:"ul"},"Dynamic zoom"),(0,r.kt)("li",{parentName:"ul"},"Eyes glaze"),(0,r.kt)("li",{parentName:"ul"},"Hands detection"),(0,r.kt)("li",{parentName:"ul"},"And much more...")),(0,r.kt)("h2",{id:"sample-applications"},"Sample applications"),(0,r.kt)("p",null,"Sample applications can be found ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/Vonage/vonage-media-transformers-samples"},"here"),"."),(0,r.kt)("h2",{id:"background-visual-effects-out-of-the-box-solution"},"Background visual effects (out-of-the-box solution)"),(0,r.kt)("p",null,"This sample uses the Vonage Video web SDK (OpenTok). ",(0,r.kt)("a",{parentName:"p",href:"https://tokbox.com/developer/guides/vonage-media-processor/js/#publisher-setvideomediaprocessorconnector-method"},"OT.Publisher API (setVideoMediaProcessorConnector)")," to use the Vonage Media Processor Library in a Vonage Video (OpenTok) web application."),(0,r.kt)("h3",{id:"implementation-details"},"Implementation details:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Uses the ",(0,r.kt)("a",{parentName:"li",href:"https://www.npmjs.com/package/@mediapipe/selfie_segmentation"},"MediaPipe Selfie Segmentation")," solution."),(0,r.kt)("li",{parentName:"ul"},"The process runs in a web worker."),(0,r.kt)("li",{parentName:"ul"},"MediaPipe solutions are based on WebGL and wasm (SIMD)."),(0,r.kt)("li",{parentName:"ul"},"The solution does not come with MediaPipe binaries bundled. We added static assets under AWS Cloud Front CDN. Here are ",(0,r.kt)("a",{parentName:"li",href:"https://d7uri8nf7uskq.cloudfront.net/tools/list-cloudfront-ips"},"white-listed IPs for cloud front"),"."),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("inlineCode",{parentName:"li"},"MediaProcessorConfig")," allows you to define ",(0,r.kt)("inlineCode",{parentName:"li"},"mediapipeBaseAssetsUri")," which allows the user to self-host MediaPipe assets. ",(0,r.kt)("strong",{parentName:"li"},"However, we do NOT recommend this"),".")),(0,r.kt)("h3",{id:"configure"},"Configure"),(0,r.kt)("p",null,"Configure post process action."),(0,r.kt)("h4",{id:"blur"},"Blur:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.\n transformerType: 'BackgroundBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"silhouette"},"Silhouette:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'SilhouetteBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"virtual-image"},"Virtual (image):"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VirtualBackground',\n backgroundAssetUri: 'https://some-url-to-image.com'\n}\n")),(0,r.kt)("h4",{id:"video"},"Video:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VideoBackground',\n backgroundAssetUri: 'https://some-url-to-video.com'\n}\n")),(0,r.kt)("h3",{id:"create-media-processor"},"Create Media Processor"),(0,r.kt)("p",null,"After configuring which post process is needed, use the helper function to create it ",(0,r.kt)("em",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\npublisher.setVideoMediaProcessorConnector(processor.getConnector());\n")),(0,r.kt)("h3",{id:"change-configuration"},"Change configuration"),(0,r.kt)("p",null,"To change the post process config in-flight, you can call this method without involving the publisher ",(0,r.kt)("inlineCode",{parentName:"p"},"setBackgroundOptions")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"await processor.setBackgroundOptions(newConfig);\n")),(0,r.kt)("h3",{id:"disableenable-processing"},"Disable/enable processing"),(0,r.kt)("p",null,"You can disable the postprocessing using enable/disable functions."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\nprocessor.disable();\nprocessor.enable();\n")),(0,r.kt)("h3",{id:"errors-warnings-and-statistics"},"Errors, Warnings and Statistics"),(0,r.kt)("h4",{id:"issupported"},"isSupported"),(0,r.kt)("p",null,"Checks if the current browser can run our library."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"try {\n await isSupported();\n} catch(e) {\n console.error(e);\n}\n")),(0,r.kt)("h4",{id:"emitter-registration"},"Emitter Registration"),(0,r.kt)("p",null,"This solution supports ",(0,r.kt)("a",{parentName:"p",href:"https://www.npmjs.com/package/emittery"},"Emittery"),"\nYou can listen event directly on ",(0,r.kt)("inlineCode",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.on('error', ((eventData: ErrorData) => {\n console.error(eventData);\n}))\nprocessor.on('warn', ((eventData: WarnData) => {\n console.warn(eventData);\n}))\nprocessor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {\n console.info(eventData)\n}))\n")),(0,r.kt)("h4",{id:"frame-drop-warning"},"Frame Drop warning"),(0,r.kt)("p",null,"If you like to be notified about frame rate drop use ",(0,r.kt)("inlineCode",{parentName:"p"},"setTrackExpectedRate(number)")," for the expected rate of the process."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.setTrackExpectedRate(30)//or any other value.\n")),(0,r.kt)("h4",{id:"statistics"},"Statistics"),(0,r.kt)("p",null,"The API collect statistics for usage and debugging purposes. However, it is up to the user to activate it."),(0,r.kt)("h5",{id:"turn-statistics-on"},"Turn statistics on:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const metadata: VonageMetadata = {\n appId: 'video SDK app id',\n sourceType: 'video',\n proxyUrl: 'https://some-proxy.com' //optional\n};\nsetVonageMetadata(metadata)\n")),(0,r.kt)("h5",{id:"turn-statistics-off-by-default-the-statistics-are-off"},"Turn statistics off: (by default the statistics are off)"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"setVonageMetadata(null)\n")),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},"That's all you need to do in order to use our out-of-the-box background solution")),(0,r.kt)("h2",{id:"mediapipe-helper"},"MediaPipe Helper"),(0,r.kt)("p",null,"The library provide helper class for all ",(0,r.kt)("a",{parentName:"p",href:"https://google.github.io/mediapipe/getting_started/javascript.html"},"MediaPipe JS solutions"),"."),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Face Mesh"),(0,r.kt)("li",{parentName:"ul"},"Face Detection"),(0,r.kt)("li",{parentName:"ul"},"Hands"),(0,r.kt)("li",{parentName:"ul"},"Holistic"),(0,r.kt)("li",{parentName:"ul"},"Objectron"),(0,r.kt)("li",{parentName:"ul"},"Pose"),(0,r.kt)("li",{parentName:"ul"},"Selfie Segmentation")),(0,r.kt)("h3",{id:"configure-mediapipe-solution"},"Configure MediaPipe solution"),(0,r.kt)("p",null,"Each configuration is up to the user."),(0,r.kt)("h4",{id:"face-mesh"},"Face Mesh:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: FaceMeshOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"face-detection"},"Face Detection:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: FaceDetectionOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"hands"},"Hands:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: HandsOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"holistic"},"Holistic:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: HolisticOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"objectron"},"Objectron:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: ObjectronOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"pose"},"Pose:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: PoseOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"selfie-segmentation"},"Selfie Segmentation:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: SelfieSegmentationOptions = {\n...\n}\n")),(0,r.kt)("h3",{id:"mediapipe-helper-1"},"MediaPipe Helper"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"MediapipeHelper")," - Helper class that initiate and run MediaPipe modules.\n",(0,r.kt)("strong",{parentName:"p"},"This class must be initialized on the application main thread")),(0,r.kt)("h4",{id:"create-mediapipe-helper"},"Create MediaPipe helper:"),(0,r.kt)("p",null,"In this example we will use ",(0,r.kt)("em",{parentName:"p"},"face mash"),", but it is the same for all the other models."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"mediaPipeListener(results: FaceMeshResults): void {\n //Do something with the results.\n}\nlet mediapipeConfig: MediapipeConfig = {\n modelType: \"face_mesh\"\n listener: (results: FaceMeshResults): void => {\n },\n options: FaceMeshOptions,\n assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.\n}\nlet mediapipeHelper: MediapipeHelper = new MediapipeHelper()\nmediapipeHelper.initialize(mediapipeConfig).then( () => {\n}).catch( e => {\n})\n")),(0,r.kt)("h4",{id:"using-mediapipe-helper-class"},"Using MediaPipe helper class:"),(0,r.kt)("p",null,"In this example we will demonstrate how to use the MediaPipe helper with a transformer running on the main application thread.\nHowever, we have two sample apps that run the MediaPipe helper on the main application thread and, concurrently, the transformer in a Web worker thread."),(0,r.kt)("ol",null,(0,r.kt)("li",{parentName:"ol"},"Auto zoom - Using face detection to create zoom on the main person. ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/Vonage/vonage-media-transformers-samples/tree/main/examples/zoomAndCenterPublisher"},"here"),"."),(0,r.kt)("li",{parentName:"ol"},"Custom MediaPipe: MediaPipe can run both on application main thread and Web worker thread ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/Vonage/vonage-media-transformers-samples/tree/main/examples/mediapipe/customMediaPipe"},"here"),".")),(0,r.kt)("h4",{id:"create-transformer"},"Create transformer:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"class MedipipeTransformer implements Transformer {\n mediapipeHelper: MediapipeHelper\n results?: FaceMeshResults\n constructor(message: string) {\n this.mediapipeHelper = new MediapipeHelper()\n }\n \n init():Promise{\n return new Promise((resolve, reject) => {\n let mediapipeConfig: MediapipeConfig = {\n modelType: \"face_mesh\"\n listener: (results: FaceMeshResults): void => {\n this.results = results\n },\n options: FaceMeshOptions,\n assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.\n }\n mediapipeHelper.initialize(mediapipeConfig).then( () => {\n resolve()\n }).catch( e => {\n reject(e)\n })\n })\n }\n \n //start function is optional.\n start(controller:TransformStreamDefaultController) {\n //In this sample nothing needs to be done.\n }\n \n //transform function is mandatory.\n transform(frame: VideoFrame, controller: TransformStreamDefaultController) {\n createImageBitmap(frame).then( image => {\n let timestamp = frame.timestamp\n frame.close()\n this.mediapipeHelper_.send(image).then( () => {\n if(this.results){\n //Do something\n controller.enqueue(/*new video frame*/, {timestamp})\n }\n }).catch( e => {\n console.error(e)\n controller.enqueue(frame)\n })\n this.processFrame(image, timestamp, controller)\n }).catch(e => {\n console.error(e)\n controller.enqueue(frame)\n })\n }\n \n //When using MediaPipe helper close function must be called to avoid memory leaks.\n flush(controller:TransformStreamDefaultController) {\n this.mediapipeHelper_.close().then( () => {\n }).catch( e => {\n console.error(e)\n })\n }\n}\nexport default MedipipeTransformer;\n")),(0,r.kt)("h4",{id:"use-the-transformer"},"Use the transformer:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const mediapipeTransformer: MedipipeTransformer = new MedipipeTransformer()\nmediapipeTransformer.init().then( () => {\n const mediaProcessor: MediaProcessor = new MediaProcessor()\n const transformers = [ mediapipeTransformer ]\n mediaProcessor.setTransformers(transformers)\n const connector: MediaProcessorConnector = new MediaProcessorConnector(mediaProcessor)\n ...\n publisher.setVideoMediaProcessorConnector(connector)\n ...\n}).catch(e => {\n})\n")),(0,r.kt)("h2",{id:"license"},"License"),(0,r.kt)("p",null,"This project is licensed under the terms of the ",(0,r.kt)("a",{parentName:"p",href:"https://opensource.org/licenses/MIT"},"MIT license")," and is available for free."))}m.isMDXComponent=!0}}]); \ No newline at end of file diff --git a/docs/assets/js/0e384e19.49466903.js b/docs/assets/js/0e384e19.49466903.js new file mode 100644 index 0000000..03c070f --- /dev/null +++ b/docs/assets/js/0e384e19.49466903.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkmedia_processor_docs=self.webpackChunkmedia_processor_docs||[]).push([[9671],{3905:(e,t,a)=>{a.d(t,{Zo:()=>c,kt:()=>h});var n=a(7294);function r(e,t,a){return t in e?Object.defineProperty(e,t,{value:a,enumerable:!0,configurable:!0,writable:!0}):e[t]=a,e}function i(e,t){var a=Object.keys(e);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(e);t&&(n=n.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),a.push.apply(a,n)}return a}function o(e){for(var t=1;t=0||(r[a]=e[a]);return r}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(n=0;n=0||Object.prototype.propertyIsEnumerable.call(e,a)&&(r[a]=e[a])}return r}var l=n.createContext({}),p=function(e){var t=n.useContext(l),a=t;return e&&(a="function"==typeof e?e(t):o(o({},t),e)),a},c=function(e){var t=p(e.components);return n.createElement(l.Provider,{value:t},e.children)},d="mdxType",m={inlineCode:"code",wrapper:function(e){var t=e.children;return n.createElement(n.Fragment,{},t)}},u=n.forwardRef((function(e,t){var a=e.components,r=e.mdxType,i=e.originalType,l=e.parentName,c=s(e,["components","mdxType","originalType","parentName"]),d=p(a),u=r,h=d["".concat(l,".").concat(u)]||d[u]||m[u]||i;return a?n.createElement(h,o(o({ref:t},c),{},{components:a})):n.createElement(h,o({ref:t},c))}));function h(e,t){var a=arguments,r=t&&t.mdxType;if("string"==typeof e||r){var i=a.length,o=new Array(i);o[0]=u;var s={};for(var l in t)hasOwnProperty.call(t,l)&&(s[l]=t[l]);s.originalType=e,s[d]="string"==typeof e?e:r,o[1]=s;for(var p=2;p{a.r(t),a.d(t,{assets:()=>l,contentTitle:()=>o,default:()=>m,frontMatter:()=>i,metadata:()=>s,toc:()=>p});var n=a(7462),r=(a(7294),a(3905));const i={sidebar_position:1},o="Vonage ML Transformers",s={unversionedId:"intro",id:"intro",title:"Vonage ML Transformers",description:"Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on @vonage/media-processor, MediaPipe and TFLite",source:"@site/docs/intro.md",sourceDirName:".",slug:"/intro",permalink:"/ml-transformers-docs/docs/next/intro",draft:!1,tags:[],version:"current",sidebarPosition:1,frontMatter:{sidebar_position:1},sidebar:"tutorialSidebar",previous:{title:"VirtualBackgroundConfig",permalink:"/ml-transformers-docs/docs/next/api/interfaces/VirtualBackgroundConfig"},next:{title:"Renderers",permalink:"/ml-transformers-docs/docs/next/renderers"}},l={},p=[{value:"@vonage/media-processor",id:"vonagemedia-processor",level:3},{value:"MediaPipe",id:"mediapipe",level:3},{value:"Sample applications",id:"sample-applications",level:2},{value:"Background visual effects (out-of-the-box solution)",id:"background-visual-effects-out-of-the-box-solution",level:2},{value:"Implementation details:",id:"implementation-details",level:3},{value:"Configure",id:"configure",level:3},{value:"Blur:",id:"blur",level:4},{value:"Silhouette:",id:"silhouette",level:4},{value:"Virtual (image):",id:"virtual-image",level:4},{value:"Video:",id:"video",level:4},{value:"Create Media Processor",id:"create-media-processor",level:3},{value:"Change configuration",id:"change-configuration",level:3},{value:"Disable/enable processing",id:"disableenable-processing",level:3},{value:"Errors, Warnings and Statistics",id:"errors-warnings-and-statistics",level:3},{value:"isSupported",id:"issupported",level:4},{value:"Emitter Registration",id:"emitter-registration",level:4},{value:"Frame Drop warning",id:"frame-drop-warning",level:4},{value:"Statistics",id:"statistics",level:4},{value:"Turn statistics on:",id:"turn-statistics-on",level:5},{value:"Turn statistics off: (by default the statistics are off)",id:"turn-statistics-off-by-default-the-statistics-are-off",level:5},{value:"MediaPipe Helper",id:"mediapipe-helper",level:2},{value:"Configure MediaPipe solution",id:"configure-mediapipe-solution",level:3},{value:"Face Mesh:",id:"face-mesh",level:4},{value:"Face Detection:",id:"face-detection",level:4},{value:"Hands:",id:"hands",level:4},{value:"Holistic:",id:"holistic",level:4},{value:"Objectron:",id:"objectron",level:4},{value:"Pose:",id:"pose",level:4},{value:"Selfie Segmentation:",id:"selfie-segmentation",level:4},{value:"MediaPipe Helper",id:"mediapipe-helper-1",level:3},{value:"Create MediaPipe helper:",id:"create-mediapipe-helper",level:4},{value:"Using MediaPipe helper class:",id:"using-mediapipe-helper-class",level:4},{value:"Create transformer:",id:"create-transformer",level:4},{value:"Use the transformer:",id:"use-the-transformer",level:4},{value:"License",id:"license",level:2}],c={toc:p},d="wrapper";function m(e){let{components:t,...a}=e;return(0,r.kt)(d,(0,n.Z)({},c,a,{components:t,mdxType:"MDXLayout"}),(0,r.kt)("h1",{id:"vonage-ml-transformers"},"Vonage ML Transformers"),(0,r.kt)("p",null,"Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://www.npmjs.com/package/@vonage/media-processor"},"@vonage/media-processor")),", ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://google.github.io/mediapipe/getting_started/javascript.html"},"MediaPipe"))," and ",(0,r.kt)("em",{parentName:"p"},(0,r.kt)("a",{parentName:"em",href:"https://www.tensorflow.org/lite"},"TFLite"))),(0,r.kt)("h3",{id:"vonagemedia-processor"},"@vonage/media-processor"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"Media Processor")," library is Vonage implementation for insertable streams for supported browsers. Documentation can be found ",(0,r.kt)("a",{parentName:"p",href:"https://vonage.github.io/media-processor-docs/"},"here"),"."),(0,r.kt)("h3",{id:"mediapipe"},"MediaPipe"),(0,r.kt)("p",null,(0,r.kt)("em",{parentName:"p"},"MediaPipe")," library is an open source library under MIT license, this library use for video enhancements.\nFor our solution of background blur/replacement we use the ",(0,r.kt)("a",{parentName:"p",href:"https://google.github.io/mediapipe/solutions/selfie_segmentation.html"},"Selfie Segmentation")," solution of MediaPipe.\nThe library adds the support for all MediaPipe JS solutions. This helps developers create cool things with any MediaPipe JS module."),(0,r.kt)("p",null,"For example:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Funny hats"),(0,r.kt)("li",{parentName:"ul"},"Dynamic zoom"),(0,r.kt)("li",{parentName:"ul"},"Eyes glaze"),(0,r.kt)("li",{parentName:"ul"},"Hands detection"),(0,r.kt)("li",{parentName:"ul"},"And much more...")),(0,r.kt)("h2",{id:"sample-applications"},"Sample applications"),(0,r.kt)("p",null,"Sample applications can be found ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/Vonage/vonage-media-transformers-samples"},"here"),"."),(0,r.kt)("h2",{id:"background-visual-effects-out-of-the-box-solution"},"Background visual effects (out-of-the-box solution)"),(0,r.kt)("p",null,"This sample uses the Vonage Video web SDK (OpenTok). ",(0,r.kt)("a",{parentName:"p",href:"https://tokbox.com/developer/guides/vonage-media-processor/js/#publisher-setvideomediaprocessorconnector-method"},"OT.Publisher API (setVideoMediaProcessorConnector)")," to use the Vonage Media Processor Library in a Vonage Video (OpenTok) web application."),(0,r.kt)("h3",{id:"implementation-details"},"Implementation details:"),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Uses the ",(0,r.kt)("a",{parentName:"li",href:"https://www.npmjs.com/package/@mediapipe/selfie_segmentation"},"MediaPipe Selfie Segmentation")," solution."),(0,r.kt)("li",{parentName:"ul"},"The process runs in a web worker."),(0,r.kt)("li",{parentName:"ul"},"MediaPipe solutions are based on WebGL and wasm (SIMD)."),(0,r.kt)("li",{parentName:"ul"},"The solution does not come with MediaPipe binaries bundled. We added static assets under AWS Cloud Front CDN. Here are ",(0,r.kt)("a",{parentName:"li",href:"https://d7uri8nf7uskq.cloudfront.net/tools/list-cloudfront-ips"},"white-listed IPs for cloud front"),"."),(0,r.kt)("li",{parentName:"ul"},(0,r.kt)("inlineCode",{parentName:"li"},"MediaProcessorConfig")," allows you to define ",(0,r.kt)("inlineCode",{parentName:"li"},"mediapipeBaseAssetsUri")," which allows the user to self-host MediaPipe assets. ",(0,r.kt)("strong",{parentName:"li"},"However, we do NOT recommend this"),".")),(0,r.kt)("h3",{id:"configure"},"Configure"),(0,r.kt)("p",null,"Configure post process action."),(0,r.kt)("h4",{id:"blur"},"Blur:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.\n transformerType: 'BackgroundBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"silhouette"},"Silhouette:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'SilhouetteBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"virtual-image"},"Virtual (image):"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VirtualBackground',\n backgroundAssetUri: 'https://some-url-to-image.com'\n}\n")),(0,r.kt)("h4",{id:"video"},"Video:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VideoBackground',\n backgroundAssetUri: 'https://some-url-to-video.com'\n}\n")),(0,r.kt)("h3",{id:"create-media-processor"},"Create Media Processor"),(0,r.kt)("p",null,"After configuring which post process is needed, use the helper function to create it ",(0,r.kt)("em",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\npublisher.setVideoMediaProcessorConnector(processor.getConnector());\n")),(0,r.kt)("h3",{id:"change-configuration"},"Change configuration"),(0,r.kt)("p",null,"To change the post process config in-flight, you can call this method without involving the publisher ",(0,r.kt)("inlineCode",{parentName:"p"},"setBackgroundOptions")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"await processor.setBackgroundOptions(newConfig);\n")),(0,r.kt)("h3",{id:"disableenable-processing"},"Disable/enable processing"),(0,r.kt)("p",null,"You can disable the postprocessing using enable/disable functions."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\nprocessor.disable();\nprocessor.enable();\n")),(0,r.kt)("h3",{id:"errors-warnings-and-statistics"},"Errors, Warnings and Statistics"),(0,r.kt)("h4",{id:"issupported"},"isSupported"),(0,r.kt)("p",null,"Checks if the current browser can run our library."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"try {\n await isSupported();\n} catch(e) {\n console.error(e);\n}\n")),(0,r.kt)("h4",{id:"emitter-registration"},"Emitter Registration"),(0,r.kt)("p",null,"This solution supports ",(0,r.kt)("a",{parentName:"p",href:"https://www.npmjs.com/package/emittery"},"Emittery"),"\nYou can listen event directly on ",(0,r.kt)("inlineCode",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.on('error', ((eventData: ErrorData) => {\n console.error(eventData);\n}))\nprocessor.on('warn', ((eventData: WarnData) => {\n console.warn(eventData);\n}))\nprocessor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {\n console.info(eventData)\n}))\n")),(0,r.kt)("h4",{id:"frame-drop-warning"},"Frame Drop warning"),(0,r.kt)("p",null,"If you like to be notified about frame rate drop use ",(0,r.kt)("inlineCode",{parentName:"p"},"setTrackExpectedRate(number)")," for the expected rate of the process."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.setTrackExpectedRate(30)//or any other value.\n")),(0,r.kt)("h4",{id:"statistics"},"Statistics"),(0,r.kt)("p",null,"The API collect statistics for usage and debugging purposes. 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",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-10"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"UnsubscribeFunction")),(0,r.kt)("p",null,"An unsubscribe method."),(0,r.kt)("h4",{id:"inherited-from-1"},"Inherited from"),(0,r.kt)("p",null,"Emittery.on"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"events"},"events"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"events"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): 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.then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("p",null,"In practice you would usually consume the events using the ",(0,r.kt)("a",{parentName:"p",href:"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of"},"for await")," statement. In that case, to revoke the subscription simply break the loop."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events('\ud83e\udd84');\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd84', '\ud83c\udf082'); // Buffered\n\n// In an async context.\nfor await (const data of iterator) {\n if (data === '\ud83c\udf082') {\n break; // Revoke the subscription when we see the value `\ud83c\udf082`.\n }\n}\n")),(0,r.kt)("p",null,"It accepts multiple event names."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events(['\ud83e\udd84', '\ud83e\udd8a']);\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd8a', '\ud83c\udf082'); // Buffered\n\niterator\n .next()\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf081'\n return iterator.next();\n })\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("h4",{id:"type-parameters-2"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-8"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-11"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"AsyncIterableIterator"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("h4",{id:"inherited-from-2"},"Inherited from"),(0,r.kt)("p",null,"Emittery.events"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"off"},"off"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"off"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"listener"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("p",null,"Remove one or more event subscriptions."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nconst listener = data => {\n console.log(data);\n};\n\nemitter.on(['\ud83e\udd84', '\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a');\nawait emitter.emit('\ud83d\udc36', 'b');\nawait emitter.emit('\ud83e\udd8a', 'c');\nemitter.off('\ud83e\udd84', listener);\nemitter.off(['\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a'); // nothing happens\nawait emitter.emit('\ud83d\udc36', 'b'); // nothing happens\nawait emitter.emit('\ud83e\udd8a', 'c'); // nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-3"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-9"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"listener")),(0,r.kt)("td",{parentName:"tr",align:"left"},"(",(0,r.kt)("inlineCode",{parentName:"td"},"eventData"),": ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-12"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("h4",{id:"inherited-from-3"},"Inherited from"),(0,r.kt)("p",null,"Emittery.off"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"once"},"once"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"once"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"Subscribe to one or more events only once. It will be unsubscribed after the first\nevent."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nemitter.once('\ud83e\udd84').then(data => {\n console.log(data);\n //=> '\ud83c\udf08'\n});\n\nemitter.once(['\ud83e\udd84', '\ud83d\udc36']).then(data => {\n console.log(data);\n});\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf08'); // Logs `\ud83c\udf08` twice\nemitter.emit('\ud83d\udc36', '\ud83c\udf56'); // Nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-4"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-10"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-13"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"The promise of event data when ",(0,r.kt)("inlineCode",{parentName:"p"},"eventName")," is emitted. This promise is extended with an ",(0,r.kt)("inlineCode",{parentName:"p"},"off")," method."),(0,r.kt)("h4",{id:"inherited-from-4"},"Inherited from"),(0,r.kt)("p",null,"Emittery.once"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emit"},"emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently."),(0,r.kt)("h4",{id:"type-parameters-5"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-11"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-14"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done. ",(0,r.kt)("em",{parentName:"p"},"Done")," meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected."),(0,r.kt)("h4",{id:"inherited-from-5"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"eventData"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"type-parameters-6"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-12"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventData")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]")))),(0,r.kt)("h4",{id:"returns-15"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"inherited-from-6"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emitserial"},"emitSerial"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emitSerial"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Same as ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()"),", but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()")," whenever possible."),(0,r.kt)("p",null,"If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will ",(0,r.kt)("em",{parentName:"p"},"not")," be called."),(0,r.kt)("h4",{id:"type-parameters-7"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-13"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-16"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done."),(0,r.kt)("h4",{id:"inherited-from-7"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emitSerial"),(0,r.kt)("p",null,"\u25b8 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",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-10"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"UnsubscribeFunction")),(0,r.kt)("p",null,"An unsubscribe method."),(0,r.kt)("h4",{id:"inherited-from-1"},"Inherited from"),(0,r.kt)("p",null,"Emittery.on"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"events"},"events"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"events"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): 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.then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("p",null,"In practice you would usually consume the events using the ",(0,r.kt)("a",{parentName:"p",href:"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of"},"for await")," statement. In that case, to revoke the subscription simply break the loop."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events('\ud83e\udd84');\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd84', '\ud83c\udf082'); // Buffered\n\n// In an async context.\nfor await (const data of iterator) {\n if (data === '\ud83c\udf082') {\n break; // Revoke the subscription when we see the value `\ud83c\udf082`.\n }\n}\n")),(0,r.kt)("p",null,"It accepts multiple event names."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events(['\ud83e\udd84', '\ud83e\udd8a']);\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd8a', '\ud83c\udf082'); // Buffered\n\niterator\n .next()\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf081'\n return iterator.next();\n })\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("h4",{id:"type-parameters-2"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-8"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-11"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"AsyncIterableIterator"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("h4",{id:"inherited-from-2"},"Inherited from"),(0,r.kt)("p",null,"Emittery.events"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"off"},"off"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"off"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"listener"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("p",null,"Remove one or more event subscriptions."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nconst listener = data => {\n console.log(data);\n};\n\nemitter.on(['\ud83e\udd84', '\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a');\nawait emitter.emit('\ud83d\udc36', 'b');\nawait emitter.emit('\ud83e\udd8a', 'c');\nemitter.off('\ud83e\udd84', listener);\nemitter.off(['\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a'); // nothing happens\nawait emitter.emit('\ud83d\udc36', 'b'); // nothing happens\nawait emitter.emit('\ud83e\udd8a', 'c'); // nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-3"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-9"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"listener")),(0,r.kt)("td",{parentName:"tr",align:"left"},"(",(0,r.kt)("inlineCode",{parentName:"td"},"eventData"),": ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-12"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("h4",{id:"inherited-from-3"},"Inherited from"),(0,r.kt)("p",null,"Emittery.off"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"once"},"once"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"once"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"Subscribe to one or more events only once. It will be unsubscribed after the first\nevent."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nemitter.once('\ud83e\udd84').then(data => {\n console.log(data);\n //=> '\ud83c\udf08'\n});\n\nemitter.once(['\ud83e\udd84', '\ud83d\udc36']).then(data => {\n console.log(data);\n});\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf08'); // Logs `\ud83c\udf08` twice\nemitter.emit('\ud83d\udc36', '\ud83c\udf56'); // Nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-4"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-10"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-13"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"The promise of event data when ",(0,r.kt)("inlineCode",{parentName:"p"},"eventName")," is emitted. This promise is extended with an ",(0,r.kt)("inlineCode",{parentName:"p"},"off")," method."),(0,r.kt)("h4",{id:"inherited-from-4"},"Inherited from"),(0,r.kt)("p",null,"Emittery.once"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emit"},"emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently."),(0,r.kt)("h4",{id:"type-parameters-5"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-11"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-14"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done. ",(0,r.kt)("em",{parentName:"p"},"Done")," meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected."),(0,r.kt)("h4",{id:"inherited-from-5"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"eventData"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"type-parameters-6"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-12"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventData")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]")))),(0,r.kt)("h4",{id:"returns-15"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"inherited-from-6"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emitserial"},"emitSerial"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emitSerial"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Same as ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()"),", but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()")," whenever possible."),(0,r.kt)("p",null,"If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will ",(0,r.kt)("em",{parentName:"p"},"not")," be called."),(0,r.kt)("h4",{id:"type-parameters-7"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-13"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-16"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done."),(0,r.kt)("h4",{id:"inherited-from-7"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emitSerial"),(0,r.kt)("p",null,"\u25b8 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OPUS"),(0,r.kt)("h4",{id:"parameters-5"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Description"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"rate")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"number")),(0,r.kt)("td",{parentName:"tr",align:"left"},"number holds the predicted track rate. -1 for disable this monitor.")))),(0,r.kt)("h4",{id:"returns-7"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"getconnector"},"getConnector"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"getConnector"),"(): 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",(0,r.kt)("strong",{parentName:"p"},"on"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"listener"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"UnsubscribeFunction")),(0,r.kt)("p",null,"Subscribe to one or more events."),(0,r.kt)("p",null,"Using the same listener multiple times for the same event will result in only one method call per emitted event."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nemitter.on('\ud83e\udd84', data => {\n console.log(data);\n});\n\nemitter.on(['\ud83e\udd84', '\ud83d\udc36'], data => {\n console.log(data);\n});\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf08'); // log => '\ud83c\udf08' x2\nemitter.emit('\ud83d\udc36', '\ud83c\udf56'); // log => '\ud83c\udf56'\n")),(0,r.kt)("h4",{id:"type-parameters-1"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof 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",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-10"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"UnsubscribeFunction")),(0,r.kt)("p",null,"An unsubscribe method."),(0,r.kt)("h4",{id:"inherited-from-1"},"Inherited from"),(0,r.kt)("p",null,"Emittery.on"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"events"},"events"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"events"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"AsyncIterableIterator"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"Get an async iterator which buffers data each time an event is emitted."),(0,r.kt)("p",null,"Call ",(0,r.kt)("inlineCode",{parentName:"p"},"return()")," on the iterator to remove the subscription."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events('\ud83e\udd84');\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd84', '\ud83c\udf082'); // Buffered\n\niterator\n .next()\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf081'\n return iterator.next();\n })\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("p",null,"In practice you would usually consume the events using the ",(0,r.kt)("a",{parentName:"p",href:"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of"},"for await")," statement. In that case, to revoke the subscription simply break the loop."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events('\ud83e\udd84');\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd84', '\ud83c\udf082'); // Buffered\n\n// In an async context.\nfor await (const data of iterator) {\n if (data === '\ud83c\udf082') {\n break; // Revoke the subscription when we see the value `\ud83c\udf082`.\n }\n}\n")),(0,r.kt)("p",null,"It accepts multiple event names."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events(['\ud83e\udd84', '\ud83e\udd8a']);\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd8a', '\ud83c\udf082'); // Buffered\n\niterator\n .next()\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf081'\n return iterator.next();\n })\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("h4",{id:"type-parameters-2"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-8"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-11"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"AsyncIterableIterator"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("h4",{id:"inherited-from-2"},"Inherited from"),(0,r.kt)("p",null,"Emittery.events"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"off"},"off"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"off"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"listener"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("p",null,"Remove one or more event subscriptions."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nconst listener = data => {\n console.log(data);\n};\n\nemitter.on(['\ud83e\udd84', '\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a');\nawait emitter.emit('\ud83d\udc36', 'b');\nawait emitter.emit('\ud83e\udd8a', 'c');\nemitter.off('\ud83e\udd84', listener);\nemitter.off(['\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a'); 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.then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("p",null,"In practice you would usually consume the events using the ",(0,r.kt)("a",{parentName:"p",href:"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of"},"for await")," statement. In that case, to revoke the subscription simply break the loop."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events('\ud83e\udd84');\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd84', '\ud83c\udf082'); // Buffered\n\n// In an async context.\nfor await (const data of iterator) {\n if (data === '\ud83c\udf082') {\n break; // Revoke the subscription when we see the value `\ud83c\udf082`.\n }\n}\n")),(0,r.kt)("p",null,"It accepts multiple event names."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\nconst iterator = emitter.events(['\ud83e\udd84', '\ud83e\udd8a']);\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf081'); // Buffered\nemitter.emit('\ud83e\udd8a', '\ud83c\udf082'); // Buffered\n\niterator\n .next()\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf081'\n return iterator.next();\n })\n .then(({value, done}) => {\n // done === false\n // value === '\ud83c\udf082'\n // Revoke subscription\n return iterator.return();\n })\n .then(({done}) => {\n // done === true\n });\n")),(0,r.kt)("h4",{id:"type-parameters-2"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-8"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-11"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"AsyncIterableIterator"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("h4",{id:"inherited-from-2"},"Inherited from"),(0,r.kt)("p",null,"Emittery.events"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"off"},"off"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"off"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"listener"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("p",null,"Remove one or more event subscriptions."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nconst listener = data => {\n console.log(data);\n};\n\nemitter.on(['\ud83e\udd84', '\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a');\nawait emitter.emit('\ud83d\udc36', 'b');\nawait emitter.emit('\ud83e\udd8a', 'c');\nemitter.off('\ud83e\udd84', listener);\nemitter.off(['\ud83d\udc36', '\ud83e\udd8a'], listener);\nawait emitter.emit('\ud83e\udd84', 'a'); // nothing happens\nawait emitter.emit('\ud83d\udc36', 'b'); // nothing happens\nawait emitter.emit('\ud83e\udd8a', 'c'); // nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-3"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-9"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"listener")),(0,r.kt)("td",{parentName:"tr",align:"left"},"(",(0,r.kt)("inlineCode",{parentName:"td"},"eventData"),": ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]",") => ",(0,r.kt)("inlineCode",{parentName:"td"},"void")," ","|"," ",(0,r.kt)("inlineCode",{parentName:"td"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"td"},"void"),">")))),(0,r.kt)("h4",{id:"returns-12"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"void")),(0,r.kt)("h4",{id:"inherited-from-3"},"Inherited from"),(0,r.kt)("p",null,"Emittery.off"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"once"},"once"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"once"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"Subscribe to one or more events only once. It will be unsubscribed after the first\nevent."),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},(0,r.kt)("inlineCode",{parentName:"strong"},"Example"))),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre"},"import Emittery from 'emittery';\n\nconst emitter = new Emittery();\n\nemitter.once('\ud83e\udd84').then(data => {\n console.log(data);\n //=> '\ud83c\udf08'\n});\n\nemitter.once(['\ud83e\udd84', '\ud83d\udc36']).then(data => {\n console.log(data);\n});\n\nemitter.emit('\ud83e\udd84', '\ud83c\udf08'); // Logs `\ud83c\udf08` twice\nemitter.emit('\ud83d\udc36', '\ud83c\udf56'); // Nothing happens\n")),(0,r.kt)("h4",{id:"type-parameters-4"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," ","|"," keyof ",(0,r.kt)("inlineCode",{parentName:"td"},"OmnipresentEventData"))))),(0,r.kt)("h4",{id:"parameters-10"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")," ","|"," readonly ",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"[]")))),(0,r.kt)("h4",{id:"returns-13"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"EmitteryOncePromise"),"<",(0,r.kt)("a",{parentName:"p",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap"))," & ",(0,r.kt)("inlineCode",{parentName:"p"},"OmnipresentEventData"),"[",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),"]",">"),(0,r.kt)("p",null,"The promise of event data when ",(0,r.kt)("inlineCode",{parentName:"p"},"eventName")," is emitted. This promise is extended with an ",(0,r.kt)("inlineCode",{parentName:"p"},"off")," method."),(0,r.kt)("h4",{id:"inherited-from-4"},"Inherited from"),(0,r.kt)("p",null,"Emittery.once"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emit"},"emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently."),(0,r.kt)("h4",{id:"type-parameters-5"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-11"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-14"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done. ",(0,r.kt)("em",{parentName:"p"},"Done")," meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected."),(0,r.kt)("h4",{id:"inherited-from-5"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emit"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),", ",(0,r.kt)("inlineCode",{parentName:"p"},"eventData"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"type-parameters-6"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends keyof ",(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")))))),(0,r.kt)("h4",{id:"parameters-12"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))),(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventData")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("a",{parentName:"td",href:"../#eventdatamap"},(0,r.kt)("inlineCode",{parentName:"a"},"EventDataMap")),"[",(0,r.kt)("inlineCode",{parentName:"td"},"Name"),"]")))),(0,r.kt)("h4",{id:"returns-15"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("h4",{id:"inherited-from-6"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emit"),(0,r.kt)("hr",null),(0,r.kt)("h3",{id:"emitserial"},"emitSerial"),(0,r.kt)("p",null,"\u25b8 ",(0,r.kt)("strong",{parentName:"p"},"emitSerial"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"Name"),">","(",(0,r.kt)("inlineCode",{parentName:"p"},"eventName"),"): ",(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"Same as ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()"),", but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer ",(0,r.kt)("inlineCode",{parentName:"p"},"emit()")," whenever possible."),(0,r.kt)("p",null,"If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will ",(0,r.kt)("em",{parentName:"p"},"not")," be called."),(0,r.kt)("h4",{id:"type-parameters-7"},"Type parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name")),(0,r.kt)("td",{parentName:"tr",align:"left"},"extends ",(0,r.kt)("inlineCode",{parentName:"td"},"never"))))),(0,r.kt)("h4",{id:"parameters-13"},"Parameters"),(0,r.kt)("table",null,(0,r.kt)("thead",{parentName:"table"},(0,r.kt)("tr",{parentName:"thead"},(0,r.kt)("th",{parentName:"tr",align:"left"},"Name"),(0,r.kt)("th",{parentName:"tr",align:"left"},"Type"))),(0,r.kt)("tbody",{parentName:"table"},(0,r.kt)("tr",{parentName:"tbody"},(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"eventName")),(0,r.kt)("td",{parentName:"tr",align:"left"},(0,r.kt)("inlineCode",{parentName:"td"},"Name"))))),(0,r.kt)("h4",{id:"returns-16"},"Returns"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"Promise"),"<",(0,r.kt)("inlineCode",{parentName:"p"},"void"),">"),(0,r.kt)("p",null,"A promise that resolves when all the event listeners are done."),(0,r.kt)("h4",{id:"inherited-from-7"},"Inherited from"),(0,r.kt)("p",null,"Emittery.emitSerial"),(0,r.kt)("p",null,"\u25b8 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",(0,r.kt)("strong",{parentName:"li"},"However, we do NOT recommend this"),".")),(0,r.kt)("h3",{id:"configure"},"Configure"),(0,r.kt)("p",null,"Configure post process action."),(0,r.kt)("h4",{id:"blur"},"Blur:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.\n transformerType: 'BackgroundBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"silhouette"},"Silhouette:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'SilhouetteBlur',\n radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px\n}\n")),(0,r.kt)("h4",{id:"virtual-image"},"Virtual (image):"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VirtualBackground',\n backgroundAssetUri: 'https://some-url-to-image.com'\n}\n")),(0,r.kt)("h4",{id:"video"},"Video:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let config: MediaProcessorConfig\nconfig = {\n mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it\n transformerType: 'VideoBackground',\n backgroundAssetUri: 'https://some-url-to-video.com'\n}\n")),(0,r.kt)("h3",{id:"create-media-processor"},"Create Media Processor"),(0,r.kt)("p",null,"After configuring which post process is needed, use the helper function to create it ",(0,r.kt)("em",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\npublisher.setVideoMediaProcessorConnector(processor.getConnector());\n")),(0,r.kt)("h3",{id:"change-configuration"},"Change configuration"),(0,r.kt)("p",null,"To change the post process config in-flight, you can call this method without involving the publisher ",(0,r.kt)("inlineCode",{parentName:"p"},"setBackgroundOptions")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"await processor.setBackgroundOptions(newConfig);\n")),(0,r.kt)("h3",{id:"disableenable-processing"},"Disable/enable processing"),(0,r.kt)("p",null,"You can disable the postprocessing using enable/disable functions."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const processor = await createVonageMediaProcessor(config);\nprocessor.disable();\nprocessor.enable();\n")),(0,r.kt)("h3",{id:"errors-warnings-and-statistics"},"Errors, Warnings and Statistics"),(0,r.kt)("h4",{id:"issupported"},"isSupported"),(0,r.kt)("p",null,"Checks if the current browser can run our library."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"try {\n await isSupported();\n} catch(e) {\n console.error(e);\n}\n")),(0,r.kt)("h4",{id:"emitter-registration"},"Emitter Registration"),(0,r.kt)("p",null,"This solution supports ",(0,r.kt)("a",{parentName:"p",href:"https://www.npmjs.com/package/emittery"},"Emittery"),"\nYou can listen event directly on ",(0,r.kt)("inlineCode",{parentName:"p"},"VonageMediaProcessor")),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.on('error', ((eventData: ErrorData) => {\n console.error(eventData);\n}))\nprocessor.on('warn', ((eventData: WarnData) => {\n console.warn(eventData);\n}))\nprocessor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {\n console.info(eventData)\n}))\n")),(0,r.kt)("h4",{id:"frame-drop-warning"},"Frame Drop warning"),(0,r.kt)("p",null,"If you like to be notified about frame rate drop use ",(0,r.kt)("inlineCode",{parentName:"p"},"setTrackExpectedRate(number)")," for the expected rate of the process."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"processor.setTrackExpectedRate(30)//or any other value.\n")),(0,r.kt)("h4",{id:"statistics"},"Statistics"),(0,r.kt)("p",null,"The API collect statistics for usage and debugging purposes. However, it is up to the user to activate it."),(0,r.kt)("h5",{id:"turn-statistics-on"},"Turn statistics on:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const metadata: VonageMetadata = {\n appId: 'video SDK app id',\n sourceType: 'video',\n proxyUrl: 'https://some-proxy.com' //optional\n};\nsetVonageMetadata(metadata)\n")),(0,r.kt)("h5",{id:"turn-statistics-off-by-default-the-statistics-are-off"},"Turn statistics off: (by default the statistics are off)"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"setVonageMetadata(null)\n")),(0,r.kt)("p",null,(0,r.kt)("strong",{parentName:"p"},"That's all you need to do in order to use our out-of-the-box background solution")),(0,r.kt)("h2",{id:"mediapipe-helper"},"MediaPipe Helper"),(0,r.kt)("p",null,"The library provide helper class for all ",(0,r.kt)("a",{parentName:"p",href:"https://google.github.io/mediapipe/getting_started/javascript.html"},"MediaPipe JS solutions"),"."),(0,r.kt)("ul",null,(0,r.kt)("li",{parentName:"ul"},"Face Mesh"),(0,r.kt)("li",{parentName:"ul"},"Face Detection"),(0,r.kt)("li",{parentName:"ul"},"Hands"),(0,r.kt)("li",{parentName:"ul"},"Holistic"),(0,r.kt)("li",{parentName:"ul"},"Objectron"),(0,r.kt)("li",{parentName:"ul"},"Pose"),(0,r.kt)("li",{parentName:"ul"},"Selfie Segmentation")),(0,r.kt)("h3",{id:"configure-mediapipe-solution"},"Configure MediaPipe solution"),(0,r.kt)("p",null,"Each configuration is up to the user."),(0,r.kt)("h4",{id:"face-mesh"},"Face Mesh:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: FaceMeshOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"face-detection"},"Face Detection:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: FaceDetectionOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"hands"},"Hands:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: HandsOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"holistic"},"Holistic:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: HolisticOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"objectron"},"Objectron:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: ObjectronOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"pose"},"Pose:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: PoseOptions = {\n...\n}\n")),(0,r.kt)("h4",{id:"selfie-segmentation"},"Selfie Segmentation:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"let option: SelfieSegmentationOptions = {\n...\n}\n")),(0,r.kt)("h3",{id:"mediapipe-helper-1"},"MediaPipe Helper"),(0,r.kt)("p",null,(0,r.kt)("inlineCode",{parentName:"p"},"MediapipeHelper")," - Helper class that initiate and run MediaPipe modules.\n",(0,r.kt)("strong",{parentName:"p"},"This class must be initialized on the application main thread")),(0,r.kt)("h4",{id:"create-mediapipe-helper"},"Create MediaPipe helper:"),(0,r.kt)("p",null,"In this example we will use ",(0,r.kt)("em",{parentName:"p"},"face mash"),", but it is the same for all the other models."),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"mediaPipeListener(results: FaceMeshResults): void {\n //Do something with the results.\n}\nlet mediapipeConfig: MediapipeConfig = {\n modelType: \"face_mesh\"\n listener: (results: FaceMeshResults): void => {\n },\n options: FaceMeshOptions,\n assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.\n}\nlet mediapipeHelper: MediapipeHelper = new MediapipeHelper()\nmediapipeHelper.initialize(mediapipeConfig).then( () => {\n}).catch( e => {\n})\n")),(0,r.kt)("h4",{id:"using-mediapipe-helper-class"},"Using MediaPipe helper class:"),(0,r.kt)("p",null,"In this example we will demonstrate how to use the MediaPipe helper with a transformer running on the main application thread.\nHowever, we have two sample apps that run the MediaPipe helper on the main application thread and, concurrently, the transformer in a Web worker thread."),(0,r.kt)("ol",null,(0,r.kt)("li",{parentName:"ol"},"Auto zoom - Using face detection to create zoom on the main person. ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/Vonage/vonage-media-transformers-samples/tree/main/examples/zoomAndCenterPublisher"},"here"),"."),(0,r.kt)("li",{parentName:"ol"},"Custom MediaPipe: MediaPipe can run both on application main thread and Web worker thread ",(0,r.kt)("a",{parentName:"li",href:"https://github.com/Vonage/vonage-media-transformers-samples/tree/main/examples/mediapipe/customMediaPipe"},"here"),".")),(0,r.kt)("h4",{id:"create-transformer"},"Create transformer:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"class MedipipeTransformer implements Transformer {\n mediapipeHelper: MediapipeHelper\n results?: FaceMeshResults\n constructor(message: string) {\n this.mediapipeHelper = new MediapipeHelper()\n }\n \n init():Promise<void>{\n return new Promise<void>((resolve, reject) => {\n let mediapipeConfig: MediapipeConfig = {\n modelType: \"face_mesh\"\n listener: (results: FaceMeshResults): void => {\n this.results = results\n },\n options: FaceMeshOptions,\n assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.\n }\n mediapipeHelper.initialize(mediapipeConfig).then( () => {\n resolve()\n }).catch( e => {\n reject(e)\n })\n })\n }\n \n //start function is optional.\n start(controller:TransformStreamDefaultController) {\n //In this sample nothing needs to be done.\n }\n \n //transform function is mandatory.\n transform(frame: VideoFrame, controller: TransformStreamDefaultController) {\n createImageBitmap(frame).then( image => {\n let timestamp = frame.timestamp\n frame.close()\n this.mediapipeHelper_.send(image).then( () => {\n if(this.results){\n //Do something\n controller.enqueue(/*new video frame*/, {timestamp})\n }\n }).catch( e => {\n console.error(e)\n controller.enqueue(frame)\n })\n this.processFrame(image, timestamp, controller)\n }).catch(e => {\n console.error(e)\n controller.enqueue(frame)\n })\n }\n \n //When using MediaPipe helper close function must be called to avoid memory leaks.\n flush(controller:TransformStreamDefaultController) {\n this.mediapipeHelper_.close().then( () => {\n }).catch( e => {\n console.error(e)\n })\n }\n}\nexport default MedipipeTransformer;\n")),(0,r.kt)("h4",{id:"use-the-transformer"},"Use the transformer:"),(0,r.kt)("pre",null,(0,r.kt)("code",{parentName:"pre",className:"language-typescript"},"const mediapipeTransformer: MedipipeTransformer = new MedipipeTransformer()\nmediapipeTransformer.init().then( () => {\n const mediaProcessor: MediaProcessor = new MediaProcessor()\n const transformers = [ mediapipeTransformer ]\n mediaProcessor.setTransformers(transformers)\n const connector: MediaProcessorConnector = new MediaProcessorConnector(mediaProcessor)\n ...\n publisher.setVideoMediaProcessorConnector(connector)\n ...\n}).catch(e => {\n})\n")),(0,r.kt)("h2",{id:"license"},"License"),(0,r.kt)("p",null,"This project is licensed under the terms of the 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this.results = results\n },\n options: FaceMeshOptions,\n assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.\n }\n mediapipeHelper.initialize(mediapipeConfig).then( () => {\n resolve()\n }).catch( e => {\n reject(e)\n })\n })\n }\n \n //start function is optional.\n start(controller:TransformStreamDefaultController) {\n //In this sample nothing needs to be done.\n }\n \n //transform function is mandatory.\n transform(frame: VideoFrame, controller: TransformStreamDefaultController) {\n createImageBitmap(frame).then( image => {\n let timestamp = frame.timestamp\n frame.close()\n this.mediapipeHelper_.send(image).then( () => {\n if(this.results){\n //Do something\n controller.enqueue(/*new video frame*/, {timestamp})\n }\n }).catch( e => {\n console.error(e)\n controller.enqueue(frame)\n })\n this.processFrame(image, timestamp, controller)\n }).catch(e => {\n console.error(e)\n controller.enqueue(frame)\n })\n }\n \n 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See documentation for more details. ",(0,n.kt)("a",{parentName:"li",href:"https://vonage.github.io/ml-transformers-docs/docs/renderers"},"https://vonage.github.io/ml-transformers-docs/docs/renderers"))),(0,n.kt)("h3",{id:"changed-1"},"Changed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"selfieSegmentationType is now part of renderingOptions and is not a field of the config anymore.")),(0,n.kt)("h2",{id:"436---2023-2-17"},"4.3.6 - 2023-2-17"),(0,n.kt)("h3",{id:"added-2"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Added a check where an error will be thrown if a unknown transformer type is requested. ")),(0,n.kt)("h2",{id:"435---2023-2-9"},"4.3.5 - 2023-2-9"),(0,n.kt)("h3",{id:"added-3"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"The library now logs background transformer create and update events if metadata is set with setVonageMetadata. 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It will download a stacktrace of the gpu programs. This file is compatible with ",(0,n.kt)("a",{parentName:"li",href:"https://www.speedscope.app/"},"https://www.speedscope.app/"))),(0,n.kt)("h3",{id:"changed-2"},"Changed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Blur downscale its input by a factor of 8 before processing in order to improve performance. ")),(0,n.kt)("h2",{id:"430----2022-11-24"},"4.3.0 - 2022-11-24"),(0,n.kt)("h3",{id:"added-5"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Add webgl support check to isSuppported and getSupportedBrowserFeatures")),(0,n.kt)("h2",{id:"421----2022-11-23"},"4.2.1 - 2022-11-23"),(0,n.kt)("h3",{id:"fixed-3"},"Fixed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Fixing a webpack umd bundling capabilities when the library was used within another lib.")),(0,n.kt)("h2",{id:"420----2022-11-7"},"4.2.0 - 2022-11-7"),(0,n.kt)("h3",{id:"added-6"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"New function getSupportedBrowserFeatures providing a more detailled overview of what features is supported by the browser")),(0,n.kt)("h3",{id:"changed-3"},"Changed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"New optional parameters wasmAssetUriPath and tfliteAssetUriPath to getSupported function allowing specifying which tflite/wasm path.")),(0,n.kt)("h2",{id:"410----2022-11-4"},"4.1.0 - 2022-11-4"),(0,n.kt)("h3",{id:"added-7"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"BackgroundTransformer transformer is exposed by the library so it can now be imported directly and used as a regular transformer.")),(0,n.kt)("h2",{id:"401----2022-10-20"},"4.0.1 - 2022-10-20"),(0,n.kt)("h3",{id:"fixed-4"},"Fixed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Fix vitual background loading if the initial config was using it. ")),(0,n.kt)("h2",{id:"400----2022-10-20"},"4.0.0 - 2022-10-20"),(0,n.kt)("h3",{id:"added-8"},"Added"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Full library documentation. ",(0,n.kt)("a",{parentName:"li",href:"https://vonage.github.io/ml-transformers-docs/"},"Here"),"."),(0,n.kt)("li",{parentName:"ul"},"Export list updated."),(0,n.kt)("li",{parentName:"ul"},"New option 'selfieSegmentationType' in the BackgroundOption.")),(0,n.kt)("h3",{id:"fixed-5"},"Fixed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Memory leak while switching filter is now fixed.")),(0,n.kt)("h3",{id:"enhancements"},"Enhancements"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"Rendering is processing using WebGL."),(0,n.kt)("li",{parentName:"ul"},"SelfieSegmentation used for background filter is running on a WebWorker.")),(0,n.kt)("h3",{id:"changed-4"},"Changed"),(0,n.kt)("ul",null,(0,n.kt)("li",{parentName:"ul"},"New postprocessing filter on the selfie segmentation which reduce flickering. 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0000000..2f85125 --- /dev/null +++ b/docs/docs/5.1.3/CHANGELOG/index.html @@ -0,0 +1,18 @@ +<!doctype html> +<html lang="en" dir="ltr" class="docs-wrapper docs-doc-page docs-version-5.1.3 plugin-docs plugin-id-default docs-doc-id-CHANGELOG"> +<head> +<meta charset="UTF-8"> +<meta name="generator" content="Docusaurus v2.4.1"> +<title data-rh="true">Changelog | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, +and this project adheres to Semantic Versioning.

5.1.2 - 2023-10-16​

Features​

  • Upgrade @vonage/media-processor to version 2.0.4

5.1.2 - 2023-10-16​

Fix​

  • Fix remanent background regression in 5.1.1.

5.1.1 - 2023-10-5​

Fix​

  • Fix image/video preloading while setting background options.

5.1.0 - 2023-8-22​

Features​

  • Enable/Disable function on VonageMediaProcessor.

Fix​

  • Fix a bug preventing processor to be used after worker being destroyed

5.0.1 - 2023-3-29​

Features​

  • Upgrade @vonage/media-processor to version 2.0.3
  • Upgrade @vonage/js-workerizer to version 1.1.2
  • Upgrade @vonage/js-onewebrtc-telemetry to version 1.1.2

5.0.0 - 2023-2-23​

Added​

Changed​

  • selfieSegmentationType is now part of renderingOptions and is not a field of the config anymore.

4.3.6 - 2023-2-17​

Added​

  • Added a check where an error will be thrown if a unknown transformer type is requested.

4.3.5 - 2023-2-9​

Added​

  • The library now logs background transformer create and update events if metadata is set with setVonageMetadata. The infos logged allow Vonage to measure performances of the different filters in order to improve them.

4.3.4 - 2023-1-26​

Fixed​

  • Fix SelfieSegmentationType and BackgroundTransformerType missing from the exposed symbols.

4.3.3 - 2023-1-11​

Fixed​

  • Fix new VideoFrame timestamp in order to prevent syncing issue between audio and video.

4.3.2 - 2022-12-7​

Fixed​

  • Fix background option runtime change for blur config.

4.3.1 - 2022-11-25​

Added​

  • New profile function on media processor. It will download a stacktrace of the gpu programs. This file is compatible with https://www.speedscope.app/

Changed​

  • Blur downscale its input by a factor of 8 before processing in order to improve performance.

4.3.0 - 2022-11-24​

Added​

  • Add webgl support check to isSuppported and getSupportedBrowserFeatures

4.2.1 - 2022-11-23​

Fixed​

  • Fixing a webpack umd bundling capabilities when the library was used within another lib.

4.2.0 - 2022-11-7​

Added​

  • New function getSupportedBrowserFeatures providing a more detailled overview of what features is supported by the browser

Changed​

  • New optional parameters wasmAssetUriPath and tfliteAssetUriPath to getSupported function allowing specifying which tflite/wasm path.

4.1.0 - 2022-11-4​

Added​

  • BackgroundTransformer transformer is exposed by the library so it can now be imported directly and used as a regular transformer.

4.0.1 - 2022-10-20​

Fixed​

  • Fix vitual background loading if the initial config was using it.

4.0.0 - 2022-10-20​

Added​

  • Full library documentation. Here.
  • Export list updated.
  • New option 'selfieSegmentationType' in the BackgroundOption.

Fixed​

  • Memory leak while switching filter is now fixed.

Enhancements​

  • Rendering is processing using WebGL.
  • SelfieSegmentation used for background filter is running on a WebWorker.

Changed​

  • New postprocessing filter on the selfie segmentation which reduce flickering. This process is enable by default for virtual background and video background. Could be disabled/enabled for all background filters using the option 'selfieSegmentationType'.
  • MediaPipe metadata objects exports changed to functions export.
  • Type MediaPipeModelType changed to enum.
  • createVonageMediaProcessorConnector, getVonageEventEmitter, setTrackExpectedRate and setBackgroundOptions removed. Use createVonageMediaProcessor instead.

Deprecated​

  • NA

3.2.0 - 2022-10-11​

Added​

  • New class VonageMediaProcessor

Fixed​

  • This version includes changes made in the context of ticket where fixing the error of creating more then one MediaProcessorConnectorInterface.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • createVonageMediaProcessorConnector
  • createVonageMediaProcessorConnector
  • getVonageEventEmitter
  • setTrackExpectedRate
  • setBackgroundOptions

3.1.1 - 2022-08-30​

Added​

  • NA

Fixed​

  • This version includes changes made in the context of ticket where more improvements and tweaks were added in order to improve the viewing experience when blurring.
  • This version includes changes made in the context of ticket cross origin source fix.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.1.0 - 2022-08-01​

Added​

  • Option to set blur radius as a number.

Fixed​

  • Fixes bug where new tweaks are applied in order to improve image quality and the overall viewing experience when blurring.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.0.0 - 2022-06-29​

Added​

  • New Vonage Mediapipe objects:
    • VonageSelfiesegmentation
    • VonageHands
    • VonageHolistic
    • VonageFacedetection
    • VonageFacemash
    • VonageObjectron
    • VonagePose

Fixed​

  • Fixes bug where all library properties added to the window object in previous versions are now removed.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.4 - 2022-06-27​

Added​

  • NA

Fixed​

  • Fixes bug where a call to destroy the media processor could not resolve when destroying the media stream track instance before.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.3 - 2022-06-22​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.2 - 2022-06-20​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.1 - 2022-06-13​

Added​

Full integration of MediaPipe:​

  • Face Detection
  • Face Mesh
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation (already used by the library for background processes)

Added static assets for each MediaPipe model on S3 behind could front CDN (supports CORS)​

Please refer this warning https://vonage.github.io/ml-transformers-docs/modules.html#MediaPipeModelConfig about assetsUri​

Fixed​

  • Workers destruction at end of process.
  • Permormance improvements in 40% less CPU usage of all post processe operations.
  • Fixed bugs.

Enhancements​

  • NA

Changed​

Deprecated​

  • NA

1.3.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Re-names of functions:

    getMetadata -> getVonageMetadata

    setMetadata -> setVonageMetadata

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Fix setMetaData setting option. now if not calling setMetaData stats will not be sent. +When calling setMetaData({'appId' : '123', sourceType: 'test'}) stats will be sent.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.0 - 2022-03-15​

Added​

  • ML-Transformer implements an async event emitter pattern. for error and warn
  • setTrackExpectedRate - Allow the user to set the expected rate of the track. An warn will be emit when 20% drop of the expected rate of the track.

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.1.0 - 2022-03-09​

Added​

  • NA

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.0.0 - 2022-03-08​

Added​

  • First GA library version.

Fixed​

  • NA

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/classes/BackgroundTransformer/index.html b/docs/docs/5.1.3/api/classes/BackgroundTransformer/index.html new file mode 100644 index 0000000..b28f8db --- /dev/null +++ b/docs/docs/5.1.3/api/classes/BackgroundTransformer/index.html @@ -0,0 +1,16 @@ + + + + + +Class: BackgroundTransformer | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Class: BackgroundTransformer

Constructors​

constructor​

• new BackgroundTransformer()

Methods​

init​

▸ init(id, config): Promise<void>

Parameters​

NameType
idstring
configBackgroundOptions

Returns​

Promise<void>

transform​

▸ Optional transform(frame, controller): Promise<void>

Parameters​

NameType
frameVideoFrame
controllerTransformStreamDefaultController<any>

Returns​

Promise<void>

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

setVideoBGReadable​

▸ setVideoBGReadable(stream): Promise<void>

Parameters​

NameType
streamReadableStream<any>

Returns​

Promise<void>

setVirtualBGImage​

▸ setVirtualBGImage(image): Promise<void>

Parameters​

NameType
imageImageBitmap

Returns​

Promise<void>

setFlickeringOptions​

▸ setFlickeringOptions(options): void

Parameters​

NameType
optionsFlickeringOptions

Returns​

void

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

getTransformerType​

▸ getTransformerType(): string

Returns​

string

enable​

▸ enable(): void

Returns​

void

disable​

▸ disable(): void

Returns​

void

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/classes/MediapipeHelper/index.html b/docs/docs/5.1.3/api/classes/MediapipeHelper/index.html new file mode 100644 index 0000000..ace9d05 --- /dev/null +++ b/docs/docs/5.1.3/api/classes/MediapipeHelper/index.html @@ -0,0 +1,16 @@ + + + + + +Class: MediapipeHelper | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Class: MediapipeHelper

Constructors​

constructor​

• new MediapipeHelper()

Methods​

initialize​

▸ initialize(config): Promise<void>

Parameters​

NameType
configMediapipeConfig

Returns​

Promise<void>

close​

▸ close(modelType?): Promise<void>

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

Promise<void>

send​

▸ send(image, modelType?): Promise<void>

Parameters​

NameType
imageImageBitmap | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | OffscreenCanvas
modelType?MediaPipeModelType

Returns​

Promise<void>

reset​

▸ reset(modelType?): void

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

void

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/classes/VonageMediaProcessor/index.html b/docs/docs/5.1.3/api/classes/VonageMediaProcessor/index.html new file mode 100644 index 0000000..443b82e --- /dev/null +++ b/docs/docs/5.1.3/api/classes/VonageMediaProcessor/index.html @@ -0,0 +1,25 @@ + + + + + +Class: VonageMediaProcessor | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Class: VonageMediaProcessor

Class wrapping features provided by ml-transformers.

Hierarchy​

Methods​

profile​

▸ Static profile(duration): Promise<WebglProfilerReporter>

Parameters​

NameType
durationnumber

Returns​

Promise<WebglProfilerReporter>

create​

▸ Static create(config): Promise<VonageMediaProcessor>

Asynchronous constructor of VonageMediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionsInitial MediaProcessorConfig to use

Returns​

Promise<VonageMediaProcessor>

Promise resolved with an initialized MediaProcessorConfig

mixin​

▸ Static mixin(emitteryPropertyName, methodNames?): <T>(klass: T) => T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');

Parameters​

NameType
emitteryPropertyNamestring | symbol
methodNames?readonly string[]

Returns​

fn

▸ <T>(klass): T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');
Type parameters​
NameType
Textends (...arguments_: readonly any[]) => any
Parameters​
NameType
klassT
Returns​

T

Inherited from​

Emittery.mixin

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

change the background option during run time using this function. +while using this function the media-processor will not be destroyed. +while using this function the library promise a full resource cleanup.

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

enable​

▸ enable(): Promise<void>

Enable the processing

Returns​

Promise<void>

disable​

▸ disable(): Promise<void>

Disable the processing

Returns​

Promise<void>

setTrackExpectedRate​

▸ setTrackExpectedRate(rate): void

Sets the expected rate of the track per second. +The media processor will use this number for calculating drops in the rate. +This could happen when the transformation will take more time than expected. +This will not cause an error, just warning to the client. +Mostly: +Video: 30 frames per second +Audio: 50 audio data per second for OPUS

Parameters​

NameTypeDescription
ratenumbernumber holds the predicted track rate. -1 for disable this monitor.

Returns​

void

getConnector​

▸ getConnector(): MediaProcessorConnector

Getter for MediaProcessorConnectorInterface connector attribute.

Returns​

MediaProcessorConnector

  • MediaProcessorConnectorInterface feed this return value to any vonage SDK that supports this API

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

on​

▸ on<Name>(eventName, listener): UnsubscribeFunction

Subscribe to one or more events.

Using the same listener multiple times for the same event will result in only one method call per emitted event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on('🦄', data => {
    console.log(data);
});

emitter.on(['🦄', '🐶'], data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // log => '🌈' x2
emitter.emit('🐶', '🍖'); // log => '🍖'

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

UnsubscribeFunction

An unsubscribe method.

Inherited from​

Emittery.on

events​

▸ events<Name>(eventName): AsyncIterableIterator<EventDataMap[Name]>

Get an async iterator which buffers data each time an event is emitted.

Call return() on the iterator to remove the subscription.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

In practice you would usually consume the events using the for await statement. In that case, to revoke the subscription simply break the loop.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

// In an async context.
for await (const data of iterator) {
    if (data === '🌈2') {
        break; // Revoke the subscription when we see the value `🌈2`.
    }
}

It accepts multiple event names.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events(['🦄', '🦊']);

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦊', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

AsyncIterableIterator<EventDataMap[Name]>

Inherited from​

Emittery.events

off​

▸ off<Name>(eventName, listener): void

Remove one or more event subscriptions.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const listener = data => {
    console.log(data);
};

emitter.on(['🦄', '🐶', '🦊'], listener);
await emitter.emit('🦄', 'a');
await emitter.emit('🐶', 'b');
await emitter.emit('🦊', 'c');
emitter.off('🦄', listener);
emitter.off(['🐶', '🦊'], listener);
await emitter.emit('🦄', 'a'); // nothing happens
await emitter.emit('🐶', 'b'); // nothing happens
await emitter.emit('🦊', 'c'); // nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.off

once​

▸ once<Name>(eventName): EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

Subscribe to one or more events only once. It will be unsubscribed after the first +event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.once('🦄').then(data => {
    console.log(data);
    //=> '🌈'
});

emitter.once(['🦄', '🐶']).then(data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // Logs `🌈` twice
emitter.emit('🐶', '🍖'); // Nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

The promise of event data when eventName is emitted. This promise is extended with an off method.

Inherited from​

Emittery.once

emit​

▸ emit<Name>(eventName): Promise<void>

Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done. Done meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected.

Inherited from​

Emittery.emit

▸ emit<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emit

emitSerial​

▸ emitSerial<Name>(eventName): Promise<void>

Same as emit(), but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer emit() whenever possible.

If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will not be called.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done.

Inherited from​

Emittery.emitSerial

▸ emitSerial<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emitSerial

onAny​

▸ onAny(listener): UnsubscribeFunction

Subscribe to be notified about any event.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

UnsubscribeFunction

A method to unsubscribe.

Inherited from​

Emittery.onAny

anyEvent​

▸ anyEvent(): AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Get an async iterator which buffers a tuple of an event name and data each time an event is emitted.

Call return() on the iterator to remove the subscription.

In the same way as for events, you can subscribe by using the for await statement.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.anyEvent();

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🌟', '🌈2'); // Buffered

iterator.next()
    .then(({value, done}) => {
        // done is false
        // value is ['🦄', '🌈1']
        return iterator.next();
    })
    .then(({value, done}) => {
        // done is false
        // value is ['🌟', '🌈2']
        // revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done is true
    });

Returns​

AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Inherited from​

Emittery.anyEvent

offAny​

▸ offAny(listener): void

Remove an onAny subscription.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.offAny

clearListeners​

▸ clearListeners<Name>(eventName?): void

Clear all event listeners on the instance.

If eventName is given, only the listeners for that event are cleared.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

void

Inherited from​

Emittery.clearListeners

listenerCount​

▸ listenerCount<Name>(eventName?): number

The number of listeners for the eventName or all events if not specified.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

number

Inherited from​

Emittery.listenerCount

bindMethods​

▸ bindMethods(target, methodNames?): void

Bind the given methodNames, or all Emittery methods if methodNames is not defined, into the target object.

Example

import Emittery from 'emittery';

const object = {};

new Emittery().bindMethods(object);

object.emit('event');

Parameters​

NameType
targetRecord<string, unknown>
methodNames?readonly string[]

Returns​

void

Inherited from​

Emittery.bindMethods

Properties​

isDebugEnabled​

▪ Static isDebugEnabled: boolean

Toggle debug mode for all instances.

Default: true if the DEBUG environment variable is set to emittery or *, otherwise false.

Example

import Emittery from 'emittery';

Emittery.isDebugEnabled = true;

const emitter1 = new Emittery({debug: {name: 'myEmitter1'}});
const emitter2 = new Emittery({debug: {name: 'myEmitter2'}});

emitter1.on('test', data => {
    // …
});

emitter2.on('otherTest', data => {
    // …
});

emitter1.emit('test');
//=> [16:43:20.417][emittery:subscribe][myEmitter1] Event Name: test
//  data: undefined

emitter2.emit('otherTest');
//=> [16:43:20.417][emittery:subscribe][myEmitter2] Event Name: otherTest
//  data: undefined

Inherited from​

Emittery.isDebugEnabled

listenerAdded​

▪ Static Readonly listenerAdded: typeof listenerAdded

Fires when an event listener was added.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on(Emittery.listenerAdded, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

emitter.on('🦄', data => {
    // Handle data
});

Inherited from​

Emittery.listenerAdded

listenerRemoved​

▪ Static Readonly listenerRemoved: typeof listenerRemoved

Fires when an event listener was removed.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const off = emitter.on('🦄', data => {
    // Handle data
});

emitter.on(Emittery.listenerRemoved, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

off();

Inherited from​

Emittery.listenerRemoved

debug​

• debug: DebugOptions<EventDataMap>

Debugging options for the current instance.

Inherited from​

Emittery.debug

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/BackgroundTransformerType/index.html b/docs/docs/5.1.3/api/enums/BackgroundTransformerType/index.html new file mode 100644 index 0000000..916ac76 --- /dev/null +++ b/docs/docs/5.1.3/api/enums/BackgroundTransformerType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: BackgroundTransformerType | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: BackgroundTransformerType

Type of transformer to instantiate

Enumeration Members​

BackgroundBlur​

• BackgroundBlur = "BackgroundBlur"

Background blur

VirtualBackground​

• VirtualBackground = "VirtualBackground"

Background replace with an image

VideoBackground​

• VideoBackground = "VideoBackground"

Background replace with an video

SilhouetteBlur​

• SilhouetteBlur = "SilhouetteBlur"

Silhouette blur

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/BlurRadius/index.html b/docs/docs/5.1.3/api/enums/BlurRadius/index.html new file mode 100644 index 0000000..9cc1420 --- /dev/null +++ b/docs/docs/5.1.3/api/enums/BlurRadius/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: BlurRadius | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: BlurRadius

BlurRadius specifies how much bluring filter to apply by a given transformer.

Enumeration Members​

Low​

• Low = "Low"

Low bluring filtering (5px).

High​

• High = "High"

High bluring filtering (10px).

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/ErrorFunction/index.html b/docs/docs/5.1.3/api/enums/ErrorFunction/index.html new file mode 100644 index 0000000..0b86eed --- /dev/null +++ b/docs/docs/5.1.3/api/enums/ErrorFunction/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: ErrorFunction | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: ErrorFunction

ErrorFunction. It specifies the transformer function in which the error occurred.

Enumeration Members​

start​

• start = "start"

start function exception.

transform​

• transform = "transform"

transform function exception.

flush​

• flush = "flush"

flush function exception.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/PipelineInfoData/index.html b/docs/docs/5.1.3/api/enums/PipelineInfoData/index.html new file mode 100644 index 0000000..ce272c8 --- /dev/null +++ b/docs/docs/5.1.3/api/enums/PipelineInfoData/index.html @@ -0,0 +1,20 @@ + + + + + +Enumeration: PipelineInfoData | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: PipelineInfoData

PipelineInfolData. Life cycle information of insertable streams pipeline.

Enumeration Members​

pipeline_ended​

• pipeline_ended = "pipeline_ended"

Notify the app that the pipeline has ended.

pipeline_ended_with_error​

• pipeline_ended_with_error = "pipeline_ended_with_error"

Notify the app that the pipeline has ended with an error.

pipeline_started​

• pipeline_started = "pipeline_started"

Notify the app that the pipeline has started.

pipeline_started_with_error​

• pipeline_started_with_error = "pipeline_started_with_error"

Notify the app that the pipeline has started with an error.

pipeline_restarted​

• pipeline_restarted = "pipeline_restarted"

Notify the app that the pipeline has restarted. +This message is fired after changing track in the middle of the process. +For example switching camera source.

pipeline_restarted_with_error​

• pipeline_restarted_with_error = "pipeline_restarted_with_error"

Notify the app that the pipeline has restarted with an error. +This message is fired after changing track in the middle of the process. +For example switching camera source.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/RenderingType/index.html b/docs/docs/5.1.3/api/enums/RenderingType/index.html new file mode 100644 index 0000000..b906235 --- /dev/null +++ b/docs/docs/5.1.3/api/enums/RenderingType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: RenderingType | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: RenderingType

Enumeration Members​

CANVAS​

• CANVAS = "CANVAS"

WEBGL​

• WEBGL = "WEBGL"

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/WarningType/index.html b/docs/docs/5.1.3/api/enums/WarningType/index.html new file mode 100644 index 0000000..74218fc --- /dev/null +++ b/docs/docs/5.1.3/api/enums/WarningType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: WarningType | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: WarningType

WarningType specifies the type of warning from the transformer

Enumeration Members​

FPS_DROP​

• FPS_DROP = "fps_drop"

Warning about change in process rate

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/enums/WebglSelfieSegmentationType/index.html b/docs/docs/5.1.3/api/enums/WebglSelfieSegmentationType/index.html new file mode 100644 index 0000000..ed96d0f --- /dev/null +++ b/docs/docs/5.1.3/api/enums/WebglSelfieSegmentationType/index.html @@ -0,0 +1,18 @@ + + + + + +Enumeration: WebglSelfieSegmentationType | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Enumeration: WebglSelfieSegmentationType

Selfie segmentation algorithm type +Fast can flickering but has low impact on performance +Precise avoid glitches and flickering, but is most costly.

More explanations could be find here: https://vonage.github.io/ml-transformers-docs/docs/post-processing

Enumeration Members​

FAST​

• FAST = "FAST"

No selfie segmentation post-processing. It might produce flickering and has low impact on performance.

PRECISE​

• PRECISE = "PRECISE"

Enable selfie segmentation post-processing. It reduces flickering and glitches, however it might have some impact on performance.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/index.html b/docs/docs/5.1.3/api/index.html new file mode 100644 index 0000000..8650ef8 --- /dev/null +++ b/docs/docs/5.1.3/api/index.html @@ -0,0 +1,36 @@ + + + + + +@vonage/ml-transformers | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

@vonage/ml-transformers

Classes​

Enumerations​

Interfaces​

Functions​

getVonageSelfieSegmentation​

▸ getVonageSelfieSegmentation(): VonageSelfieSegmentation

MediaPipe Selfie Segmentation static metadata.

Returns​

VonageSelfieSegmentation

An object containing MediaPipe Selfie Segmentation metadata:

  • VERSION

getVonageHands​

▸ getVonageHands(): VonageHands

Vonage Mediapipe objects info (it will be used by the @mediapipe/drawing_utils package which is not included by this library).

Returns​

VonageHands

getVonageHolistic​

▸ getVonageHolistic(): VonageHolistic

MediaPipe Holistic static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageHolistic

An object containing MediaPipe Holistic metadata:

  • VERSION
  • FACE_GEOMETRY
  • FACEMESH_LIPS
  • FACEMESH_LEFT_EYE
  • FACEMESH_LEFT_EYEBROW
  • FACEMESH_LEFT_IRIS
  • FACEMESH_RIGHT_EYE
  • FACEMESH_RIGHT_EYEBROW
  • FACEMESH_RIGHT_IRIS
  • FACEMESH_FACE_OVAL
  • FACEMESH_CONTOURS
  • FACEMESH_TESSELATION
  • HAND_CONNECTIONS
  • POSE_CONNECTIONS
  • POSE_LANDMARKS
  • POSE_LANDMARKS_LEFT
  • POSE_LANDMARKS_RIGHT
  • POSE_LANDMARKS_NEUTRAL

getVonageFaceDetection​

▸ getVonageFaceDetection(): VonageFaceDetection

MediaPipe Face Detection static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageFaceDetection

An object containing MediaPipe Face Detection metadata:

  • VERSION
  • FACEDETECTION_LIPS
  • FACEDETECTION_LEFT_EYE
  • FACEDETECTION_LEFT_EYEBROW
  • FACEDETECTION_RIGHT_EYE
  • FACEDETECTION_RIGHT_EYEBROW
  • FACEDETECTION_FACE_OVAL
  • FACEDETECTION_CONTOURS
  • FACEDETECTION_TESSELATION

getVonageFaceMash​

▸ getVonageFaceMash(): VonageFaceMash

MediaPipe Face Mash static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageFaceMash

An object containing MediaPipe Face Mash metadata:

  • VERSION
  • FACE_GEOMETRY
  • FACEMESH_LIPS
  • FACEMESH_LEFT_EYE
  • FACEMESH_LEFT_EYEBROW
  • FACEMESH_LEFT_IRIS
  • FACEMESH_RIGHT_EYE
  • FACEMESH_RIGHT_EYEBROW
  • FACEMESH_RIGHT_IRIS
  • FACEMESH_FACE_OVAL
  • FACEMESH_CONTOURS
  • FACEMESH_TESSELATION

getVonageObjectron​

▸ getVonageObjectron(): VonageObjectron

MediaPipe Objectron static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageObjectron

An object containing MediaPipe Objectron metadata:

  • VERSION
  • VERSION
  • BOX_CONNECTIONS
  • BOX_KEYPOINTS

getVonagePose​

▸ getVonagePose(): VonagePose

MediaPipe Pose static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonagePose

An object containing MediaPipe Pose metadata:

  • VERSION
  • POSE_CONNECTIONS
  • POSE_LANDMARKS
  • POSE_LANDMARKS_LEFT
  • POSE_LANDMARKS_RIGHT
  • POSE_LANDMARKS_NEUTRAL

createVonageMediaProcessor​

▸ createVonageMediaProcessor(config): Promise<VonageMediaProcessor>

builder function to create MediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionssee MediaProcessorConfig definition

Returns​

Promise<VonageMediaProcessor>

  • MediaProcessor provide interface to configure ml-transformer or retrieving connector

isSupported​

▸ isSupported(wasmAssetUriPath?, tfliteAssetUriPath?): Promise<void>

Check if the current browser is officially supported by the library.

Parameters​

NameType
wasmAssetUriPath?string
tfliteAssetUriPath?string

Returns​

Promise<void>

The promise will resolve or reject depending whether the browser is supported or not.

getSupportedBrowserFeatures​

▸ getSupportedBrowserFeatures(wasmAssetUriPath?, tfliteAssetUriPath?): Promise<SupportedBrowserFeatures>

Detect which features is available in the browser.

Parameters​

NameType
wasmAssetUriPath?string
tfliteAssetUriPath?string

Returns​

Promise<SupportedBrowserFeatures>

Supported features by the browser

Type Aliases​

MediaProcessorConfig​

Ƭ MediaProcessorConfig: BackgroundOptions

MediaProcessorConfig specifies the transformer logic to be performed.

RenderingOptions​

Ƭ RenderingOptions: Canvas2dOptions | WebglOptions

BackgroundOptions​

Ƭ BackgroundOptions: BackgroundBlurConfig | VirtualBackgroundConfig | VideoBackgroundConfig | SilhouetteBlurConfig

BackgroundOptions background options

MediaPipeResults​

Ƭ MediaPipeResults: FaceDetectionResults | FaceMeshResults | HandsResults | HolisticResults | ObjectronResults | SelfieSegmentationResults | PoseResults

MediaPipeResults types of results object of MediaPipe

MediaPipeResultsListener​

Ƭ MediaPipeResultsListener: <T>(results: T) => Promise<void> | void

Type declaration​

▸ <T>(results): Promise<void> | void

ResultsListener callback function from MediaPipe process

Results

  • The results object from MediaPipe
Type parameters​
NameType
Textends MediaPipeResults
Parameters​
NameType
resultsT
Returns​

Promise<void> | void

  • can return a promise of void

MediaPipeModelType​

Ƭ MediaPipeModelType: "face_mesh" | "face_detection" | "hands" | "holistic" | "objectron" | "selfie_segmentation" | "pose"

MediaPipeModelType supported models types

MediaPipeModelConfig​

Ƭ MediaPipeModelConfig: Object

defines one mediapipe model config

Model Type

  • which model is required

Listener

  • callback function from the model

Options

Assets Uri

(optional) - can be set to get wasm/tflite/js/binarypb assets. Vonage provides static assets. + WARNING - using this option moves the responsibility of the assets and the versioning to the user. +please keep in mind that the assets list can change between versions! +assets are different between mediapipe models.

Type declaration​

NameType
modelTypeMediaPipeModelType
listenerMediaPipeResultsListener
optionsFaceDetectionOptions | FaceMeshOptions | HandsOptions | HolisticOptions | ObjectronOptions | SelfieSegmentationOptions | PoseOptions
assetsUri?string

MediapipeConfig​

Ƭ MediapipeConfig: Object

MediapipeConfig specified config of mediapipe helper: +this structure allows the user to create few mediapipe models that will run in parallel.

Model Types Array

  • array of mediapipe models to be loaded and called.

Type declaration​

NameType
mediaPipeModelConfigArrayMediaPipeModelConfig[]

EventMetaData​

Ƭ EventMetaData: Object

EventMetaData. Some metadata of the event.

Type declaration​

NameTypeDescription
transformerIndexnumberThe transformer index in the array of transformers.

DropInfo​

Ƭ DropInfo: Object

DropInfo gives info about the frame rate of the transformer

Type declaration​

NameTypeDescription
requestednumberThe rate predicted rate of the track
currentnumberThe actual rate of the track

WarnData​

Ƭ WarnData: Object

WarnData - MediaProcessor warning event defintion

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMeta data of the event
warningTypeWarningTypeThe waring type
dropInfo?DropInfoOptional - FPS drop info.

ErrorData​

Ƭ ErrorData: Object

ErrorData. MediaProcessor error data definition.

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMetadata of the event.
functionErrorFunctionThe function in which the error occurred.
errorunknownType of unknown but moslty will be string

EventDataMap​

Ƭ EventDataMap: Object

EventDataMap. A map type for all event options from MediaProcessor. +Each event will include only one type.

Type declaration​

NameTypeDescription
warnWarnDataWarnings from the insertable streams pipeline.
errorErrorDataErrors from the insertable streams pipeline.
pipelineInfoPipelineInfoDataInfo from the insertable streams pipeline life cycle.
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/AssetBackgroundConfig/index.html b/docs/docs/5.1.3/api/interfaces/AssetBackgroundConfig/index.html new file mode 100644 index 0000000..ae0fc32 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/AssetBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: AssetBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: AssetBackgroundConfig

AssetBackgroundConfig specifies the absolute URL to the image or video file used for background replacement.

Hierarchy​

Properties​

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/BackgroundBlurConfig/index.html b/docs/docs/5.1.3/api/interfaces/BackgroundBlurConfig/index.html new file mode 100644 index 0000000..2957a22 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/BackgroundBlurConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: BackgroundBlurConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: BackgroundBlurConfig

BackgroundBlurConfig specifies the configuration for a transformer logic that performs background blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

wasmAssetUriPath​

• Optional wasmAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.wasmAssetUriPath

tfliteAssetUriPath​

• Optional tfliteAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.tfliteAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: BackgroundBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/FaceDetectionOptions/index.html b/docs/docs/5.1.3/api/interfaces/FaceDetectionOptions/index.html new file mode 100644 index 0000000..4bd0dbe --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/FaceDetectionOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceDetectionOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: FaceDetectionOptions

Configurable options for FaceDetection.

Properties​

selfieMode​

• Optional selfieMode: boolean

model​

• Optional model: string

minDetectionConfidence​

• Optional minDetectionConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/FaceDetectionResults/index.html b/docs/docs/5.1.3/api/interfaces/FaceDetectionResults/index.html new file mode 100644 index 0000000..c593db4 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/FaceDetectionResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceDetectionResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: FaceDetectionResults

Possible results from FaceDetection.

Properties​

detections​

• detections: DetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/FaceMeshOptions/index.html b/docs/docs/5.1.3/api/interfaces/FaceMeshOptions/index.html new file mode 100644 index 0000000..d2f84d2 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/FaceMeshOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceMeshOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: FaceMeshOptions

Configurable options for FaceMesh.

Properties​

cameraNear​

• Optional cameraNear: number

cameraFar​

• Optional cameraFar: number

cameraVerticalFovDegrees​

• Optional cameraVerticalFovDegrees: number

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

maxNumFaces​

• Optional maxNumFaces: number

refineLandmarks​

• Optional refineLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/FaceMeshResults/index.html b/docs/docs/5.1.3/api/interfaces/FaceMeshResults/index.html new file mode 100644 index 0000000..3dffd05 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/FaceMeshResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceMeshResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: FaceMeshResults

Possible results from FaceMesh.

Properties​

multiFaceLandmarks​

• multiFaceLandmarks: NormalizedLandmarkListList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/FeatureSupport/index.html b/docs/docs/5.1.3/api/interfaces/FeatureSupport/index.html new file mode 100644 index 0000000..9f2c234 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/FeatureSupport/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FeatureSupport | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: FeatureSupport

Feature support detail

Properties​

supported​

• supported: boolean

Is the feature supported

message​

• Optional message: string

Readable message explaining the feature is not supported

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/HandsOptions/index.html b/docs/docs/5.1.3/api/interfaces/HandsOptions/index.html new file mode 100644 index 0000000..8479695 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/HandsOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HandsOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: HandsOptions

Configurable options for Hands.

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumHands​

• Optional maxNumHands: number

modelComplexity​

• Optional modelComplexity: 0 | 1

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/HandsResults/index.html b/docs/docs/5.1.3/api/interfaces/HandsResults/index.html new file mode 100644 index 0000000..693e1c0 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/HandsResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HandsResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: HandsResults

Possible results from Hands.

Properties​

multiHandLandmarks​

• multiHandLandmarks: NormalizedLandmarkListList

multiHandWorldLandmarks​

• multiHandWorldLandmarks: LandmarkListList

multiHandedness​

• multiHandedness: Handedness[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/HolisticOptions/index.html b/docs/docs/5.1.3/api/interfaces/HolisticOptions/index.html new file mode 100644 index 0000000..376c96a --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/HolisticOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HolisticOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: HolisticOptions

Configurable options for Holistic.

Properties​

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 1 | 2

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

refineFaceLandmarks​

• Optional refineFaceLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/HolisticResults/index.html b/docs/docs/5.1.3/api/interfaces/HolisticResults/index.html new file mode 100644 index 0000000..5e33b10 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/HolisticResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HolisticResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: HolisticResults

Possible results from Holistic.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

faceLandmarks​

• faceLandmarks: NormalizedLandmarkList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

rightHandLandmarks​

• rightHandLandmarks: NormalizedLandmarkList

leftHandLandmarks​

• leftHandLandmarks: NormalizedLandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/MediaProcessorBaseConfig/index.html b/docs/docs/5.1.3/api/interfaces/MediaProcessorBaseConfig/index.html new file mode 100644 index 0000000..30bf80b --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/MediaProcessorBaseConfig/index.html @@ -0,0 +1,29 @@ + + + + + +Interface: MediaProcessorBaseConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: MediaProcessorBaseConfig

MediaProcessorBaseConfig specifies the absolute URL for the path where the mediapipe assets used by the transformers from this library are stored. +Vonage hosts static assets of mediapipe that will be used in case this property is not set. +Vonage promises to take care of maintaining all versioning. +WARNING. By using this option the developer takes responsibility of the assets and their versioning. +mediapipe selfie segmintaion got those assets: +selfie_segmentation_landscape.tflite +selfie_segmentation_solution_simd_wasm_bin.js +selfie_segmentation_solution_simd_wasm_bin.wasm +selfie_segmentation_solution_wasm_bin.js +selfie_segmentation_solution_wasm_bin.wasm +selfie_segmentation.binarypb +selfie_segmentation.tflite +Please keep in mind that the assets list can change between versions. +All assets can be taken from node_modules/@mediapipe/selfie_segmentation

Hierarchy​

Properties​

transformerType​

• transformerType: BackgroundTransformerType

Type of transformer

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

wasmAssetUriPath​

• Optional wasmAssetUriPath: string

tfliteAssetUriPath​

• Optional tfliteAssetUriPath: string

renderingOptions​

• Optional renderingOptions: RenderingOptions

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/ObjectronOptions/index.html b/docs/docs/5.1.3/api/interfaces/ObjectronOptions/index.html new file mode 100644 index 0000000..660e58f --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/ObjectronOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: ObjectronOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: ObjectronOptions

Configurable options for Objectron. (Not yet hooked up!)

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumObjects​

• Optional maxNumObjects: number

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

staticImageMode​

• Optional staticImageMode: boolean

modelName​

• Optional modelName: KnownModel

focalLength​

• Optional focalLength: number[]

principalPoint​

• Optional principalPoint: number[]

imageSize​

• Optional imageSize: number[]

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/ObjectronResults/index.html b/docs/docs/5.1.3/api/interfaces/ObjectronResults/index.html new file mode 100644 index 0000000..2d0576d --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/ObjectronResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: ObjectronResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: ObjectronResults

Possible results from Objectron.

Properties​

objectDetections​

• objectDetections: ObjectDetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/PoseOptions/index.html b/docs/docs/5.1.3/api/interfaces/PoseOptions/index.html new file mode 100644 index 0000000..0c6459c --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/PoseOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: PoseOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: PoseOptions

Configurable options for Pose.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 1 | 2

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/PoseResults/index.html b/docs/docs/5.1.3/api/interfaces/PoseResults/index.html new file mode 100644 index 0000000..b75a3db --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/PoseResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: PoseResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: PoseResults

Possible results from Pose.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

poseWorldLandmarks​

• poseWorldLandmarks: LandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/SelfieSegmentationOptions/index.html b/docs/docs/5.1.3/api/interfaces/SelfieSegmentationOptions/index.html new file mode 100644 index 0000000..96a8715 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/SelfieSegmentationOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SelfieSegmentationOptions | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: SelfieSegmentationOptions

Configurable options for SelfieSegmentation.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelSelection​

• Optional modelSelection: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/SelfieSegmentationResults/index.html b/docs/docs/5.1.3/api/interfaces/SelfieSegmentationResults/index.html new file mode 100644 index 0000000..7921f29 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/SelfieSegmentationResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SelfieSegmentationResults | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: SelfieSegmentationResults

Possible results from SelfieSegmentation.

Properties​

image​

• image: GpuBuffer

segmentationMask​

• segmentationMask: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/SilhouetteBlurConfig/index.html b/docs/docs/5.1.3/api/interfaces/SilhouetteBlurConfig/index.html new file mode 100644 index 0000000..59d025b --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/SilhouetteBlurConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SilhouetteBlurConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: SilhouetteBlurConfig

SilhouetteBlurConfig specifies the configuration for a transformer logic that performs siluete blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

wasmAssetUriPath​

• Optional wasmAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.wasmAssetUriPath

tfliteAssetUriPath​

• Optional tfliteAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.tfliteAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: SilhouetteBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/SupportedBrowserFeatures/index.html b/docs/docs/5.1.3/api/interfaces/SupportedBrowserFeatures/index.html new file mode 100644 index 0000000..30cd040 --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/SupportedBrowserFeatures/index.html @@ -0,0 +1,17 @@ + + + + + +Interface: SupportedBrowserFeatures | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: SupportedBrowserFeatures

Features supported by the browser

Properties​

wasm​

• wasm: FeatureSupport

Web assembly support, required to use ml-transformer

simd​

• simd: FeatureSupport

Simd support, required to use ml-transformer

insertableStreams​

• insertableStreams: FeatureSupport

Insertable stream support, required to use ml-transformer

gpu​

• gpu: FeatureSupport

GPU processing support, optional

webgl​

• webgl: FeatureSupport

Webgl context support, required

performance​

• performance: FeatureSupport

Hardware support (whether the hardware underneath is powerful enough to run the library efficiently), optional. +If this flag is false, the cpu/gpu could end up overloaded producing lag/glitches.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/VideoBackgroundConfig/index.html b/docs/docs/5.1.3/api/interfaces/VideoBackgroundConfig/index.html new file mode 100644 index 0000000..95b4e1e --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/VideoBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: VideoBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: VideoBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given video.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

wasmAssetUriPath​

• Optional wasmAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.wasmAssetUriPath

tfliteAssetUriPath​

• Optional tfliteAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.tfliteAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VideoBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/api/interfaces/VirtualBackgroundConfig/index.html b/docs/docs/5.1.3/api/interfaces/VirtualBackgroundConfig/index.html new file mode 100644 index 0000000..bc98bdb --- /dev/null +++ b/docs/docs/5.1.3/api/interfaces/VirtualBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: VirtualBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Interface: VirtualBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given image.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

wasmAssetUriPath​

• Optional wasmAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.wasmAssetUriPath

tfliteAssetUriPath​

• Optional tfliteAssetUriPath: string

Inherited from​

MediaProcessorBaseConfig.tfliteAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VirtualBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/intro/index.html b/docs/docs/5.1.3/intro/index.html new file mode 100644 index 0000000..7d3c126 --- /dev/null +++ b/docs/docs/5.1.3/intro/index.html @@ -0,0 +1,21 @@ + + + + + +Vonage ML Transformers | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Vonage ML Transformers

Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on @vonage/media-processor, MediaPipe and TFLite

@vonage/media-processor​

Media Processor library is Vonage implementation for insertable streams for supported browsers. Documentation can be found here.

MediaPipe​

MediaPipe library is an open source library under MIT license, this library use for video enhancements. +For our solution of background blur/replacement we use the Selfie Segmentation solution of MediaPipe. +The library adds the support for all MediaPipe JS solutions. This helps developers create cool things with any MediaPipe JS module.

For example:

  • Funny hats
  • Dynamic zoom
  • Eyes glaze
  • Hands detection
  • And much more...

Sample applications​

Sample applications can be found here.

Background visual effects (out-of-the-box solution)​

This sample uses the Vonage Video web SDK (OpenTok). OT.Publisher API (setVideoMediaProcessorConnector) to use the Vonage Media Processor Library in a Vonage Video (OpenTok) web application.

Implementation details:​

  • Uses the MediaPipe Selfie Segmentation solution.
  • The process runs in a web worker.
  • MediaPipe solutions are based on WebGL and wasm (SIMD).
  • The solution does not come with MediaPipe binaries bundled. We added static assets under AWS Cloud Front CDN. Here are white-listed IPs for cloud front.
  • MediaProcessorConfig allows you to define mediapipeBaseAssetsUri which allows the user to self-host MediaPipe assets. However, we do NOT recommend this.

Configure​

Configure post process action.

Blur:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.
    transformerType: 'BackgroundBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Silhouette:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'SilhouetteBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Virtual (image):​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VirtualBackground',
    backgroundAssetUri: 'https://some-url-to-image.com'
}

Video:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VideoBackground',
    backgroundAssetUri: 'https://some-url-to-video.com'
}

Create Media Processor​

After configuring which post process is needed, use the helper function to create it VonageMediaProcessor

const processor = await createVonageMediaProcessor(config);
publisher.setVideoMediaProcessorConnector(processor.getConnector());

Change configuration​

To change the post process config in-flight, you can call this method without involving the publisher setBackgroundOptions

await processor.setBackgroundOptions(newConfig);

Disable/enable processing​

You can disable the postprocessing using enable/disable functions.

const processor = await createVonageMediaProcessor(config);
processor.disable();
processor.enable();

Errors, Warnings and Statistics​

isSupported​

Checks if the current browser can run our library.

try {
    await  isSupported();
} catch(e) {
    console.error(e);
}

Emitter Registration​

This solution supports Emittery +You can listen event directly on VonageMediaProcessor

processor.on('error', ((eventData: ErrorData) => {
    console.error(eventData);
}))
processor.on('warn', ((eventData: WarnData) => {
    console.warn(eventData);
}))
processor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {
    console.info(eventData)
}))

Frame Drop warning​

If you like to be notified about frame rate drop use setTrackExpectedRate(number) for the expected rate of the process.

processor.setTrackExpectedRate(30)//or any other value.

Statistics​

The API collect statistics for usage and debugging purposes. However, it is up to the user to activate it.

Turn statistics on:​
const  metadata: VonageMetadata = {
    appId:  'video SDK app id',
    sourceType:  'video',
    proxyUrl: 'https://some-proxy.com' //optional
};
setVonageMetadata(metadata)
Turn statistics off: (by default the statistics are off)​
setVonageMetadata(null)

That's all you need to do in order to use our out-of-the-box background solution

MediaPipe Helper​

The library provide helper class for all MediaPipe JS solutions.

  • Face Mesh
  • Face Detection
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation

Configure MediaPipe solution​

Each configuration is up to the user.

Face Mesh:​

let  option: FaceMeshOptions = {
...
}

Face Detection:​

let  option: FaceDetectionOptions = {
...
}

Hands:​

let  option: HandsOptions = {
...
}

Holistic:​

let  option: HolisticOptions = {
...
}

Objectron:​

let  option: ObjectronOptions = {
...
}

Pose:​

let  option: PoseOptions = {
...
}

Selfie Segmentation:​

let  option: SelfieSegmentationOptions = {
...
}

MediaPipe Helper​

MediapipeHelper - Helper class that initiate and run MediaPipe modules. +This class must be initialized on the application main thread

Create MediaPipe helper:​

In this example we will use face mash, but it is the same for all the other models.

mediaPipeListener(results: FaceMeshResults): void {
    //Do something with the results.
}
let mediapipeConfig: MediapipeConfig = {
    modelType: "face_mesh"
    listener: (results: FaceMeshResults): void => {
    },
    options: FaceMeshOptions,
    assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
}
let mediapipeHelper: MediapipeHelper = new MediapipeHelper()
mediapipeHelper.initialize(mediapipeConfig).then( () => {
}).catch( e => {
})

Using MediaPipe helper class:​

In this example we will demonstrate how to use the MediaPipe helper with a transformer running on the main application thread. +However, we have two sample apps that run the MediaPipe helper on the main application thread and, concurrently, the transformer in a Web worker thread.

  1. Auto zoom - Using face detection to create zoom on the main person. here.
  2. Custom MediaPipe: MediaPipe can run both on application main thread and Web worker thread here.

Create transformer:​

class  MedipipeTransformer  implements  Transformer {
    mediapipeHelper: MediapipeHelper
    results?: FaceMeshResults
    constructor(message: string) {
        this.mediapipeHelper = new MediapipeHelper()
    }
    
    init():Promise<void>{
        return  new  Promise<void>((resolve, reject) => {
            let mediapipeConfig: MediapipeConfig = {
                modelType: "face_mesh"
                listener: (results: FaceMeshResults): void => {
                    this.results = results
                },
                options: FaceMeshOptions,
                assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
            }
            mediapipeHelper.initialize(mediapipeConfig).then( () => {
                resolve()
            }).catch( e => {
                reject(e)
            })
        })
    }
    
    //start function is optional.
    start(controller:TransformStreamDefaultController) {
        //In this sample nothing needs to be done.
    }
    
    //transform function is mandatory.
    transform(frame: VideoFrame, controller: TransformStreamDefaultController) {
        createImageBitmap(frame).then( image => {
            let timestamp = frame.timestamp
            frame.close()
            this.mediapipeHelper_.send(image).then( () => {
                if(this.results){
                    //Do something
                    controller.enqueue(/*new video frame*/, {timestamp})
                }
            }).catch( e => {
                console.error(e)
                controller.enqueue(frame)
            })
            this.processFrame(image, timestamp, controller)
        }).catch(e => {
            console.error(e)
            controller.enqueue(frame)
        })
    }
    
    //When using MediaPipe helper close function must be called to avoid memory leaks.
    flush(controller:TransformStreamDefaultController) {
        this.mediapipeHelper_.close().then( () => {
        }).catch( e => {
            console.error(e)
        })
    }
}
export  default  MedipipeTransformer;

Use the transformer:​

const mediapipeTransformer: MedipipeTransformer = new MedipipeTransformer()
mediapipeTransformer.init().then( () => {
    const mediaProcessor: MediaProcessor = new MediaProcessor()
    const transformers = [ mediapipeTransformer ]
    mediaProcessor.setTransformers(transformers)
    const connector: MediaProcessorConnector = new MediaProcessorConnector(mediaProcessor)
    ...
    publisher.setVideoMediaProcessorConnector(connector)
    ...
}).catch(e => {
})

License​

This project is licensed under the terms of the MIT license and is available for free.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/post-processing/index.html b/docs/docs/5.1.3/post-processing/index.html new file mode 100644 index 0000000..2881d25 --- /dev/null +++ b/docs/docs/5.1.3/post-processing/index.html @@ -0,0 +1,16 @@ + + + + + +Post-processing | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Post-processing

Real-time selfie segmentation can be susceptible to flickering, which occurs when the foreground subject appears to flicker or shift around in the video. This can be caused by variations in lighting, motion blur, or other factors that affect the image quality. Flickering can be distracting and can negatively impact the user experience, making it important to address.

Post-processing is a technique used to improve the quality of the selfie segmentation output and reduce the likelihood of flickering. Post-processing involves applying a series of image processing techniques to the output of the selfie segmentation algorithm.

Post-processing selfie segmentation can have an impact on the CPU, as it requires additional processing time and resources to apply the image processing techniques.

Enabling/Disabling the post-processing​

If you want to enable/disable explicitly the post-processing, you can use the selfieSegmentationType field of the renderingOptions.

As explained https://vonage.github.io/ml-transformers-docs/docs/renderers#post-processing, post-processing is only available for WebGL.

// Disable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.FAST
    }
});

// Enable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.PRECISE
    }
});

Default value​

When the post-processing option is not explicitly specified, it defaults to enabling post-processing only for the background image and background video.

Since blurred backgrounds typically have less contrast between the foreground subject and the background, any flickering or visual artifacts that do occur are less noticeable. As a result, there may be less of a need to apply post-processing techniques to the foreground subject.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/5.1.3/renderers/index.html b/docs/docs/5.1.3/renderers/index.html new file mode 100644 index 0000000..1d2782b --- /dev/null +++ b/docs/docs/5.1.3/renderers/index.html @@ -0,0 +1,16 @@ + + + + + +Renderers | Vonage ML Transformers Documentation + + + + +
+
Version: 5.1.3

Renderers

When building a graphics rendering library, it's important to ensure that it can work on a wide variety of devices, including those with limited graphics capabilities. The two available types of renderers are Canvas 2D and WebGL.

Canvas 2D​

Canvas 2D is an API that offers a 2D drawing context for the HTML canvas element. It's simple to use and allows you to draw shapes, text, images, and other graphics directly onto a canvas. It has good performance for simple graphics operations.

WebGL​

WebGL, is a graphics API that grants access to the user's computer's graphics hardware, making it possible for developers to produce advanced 3D graphics and animations straight in the web browser. WebGL is built on top of OpenGL, a widely used graphics API in game development and other graphics-heavy applications. It provides high-performance graphics rendering.

Post-processing​

To reduce flickering in selfie segmentation, a post-processing operation can be applied using a temporal smoothing filter. However, this technique is only available with WebGL due to its access to previous frames rendered by the GPU. Ending in a difference between the Canvas2d and WebGL segmentation.

Hardware impact​

If the user's computer lacks a GPU, both Canvas 2D and WebGL will still work, but the performance and rendering quality may differ. Canvas 2D graphics rendering is handled by the CPU, so performance is reliant on the complexity of the graphics being produced and the user's CPU. On the other hand, WebGL graphics rendering is designed to take advantage of GPU acceleration, so the absence of a GPU will result in a significant decrease in performance, particularly for complex graphics operations.

Default renderer​

The failIfMajorPerformanceCaveat flag is an optional parameter that can be passed to the getContext() method when retrieving a canvas context. When set to true, the browser will fail to return a context that indicates limited or reduced capabilities. In this scenario, Canvas 2D is used by the library. Otherwise, good GPU performance can be expected, and WebGL will be chosen as the default renderer.

high perfomance GPUlow performance GPU
BlurwebGL FastCanvas 2D
Virtual BackgroundwebGL PreciseCanvas 2D

Selecting renderer​

If you want to select explicitly the renderer, you can use the renderingOptions field of the config.

// 
const canvas2dProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.CANVAS
    }
});
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL
    }
});
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/CHANGELOG/index.html b/docs/docs/CHANGELOG/index.html index e884276..64b2c0c 100644 --- a/docs/docs/CHANGELOG/index.html +++ b/docs/docs/CHANGELOG/index.html @@ -1,18 +1,18 @@ - + -Changelog | Vonage ML Transformers Documentation - - +Changelog | Vonage ML Transformers Documentation + +
-

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, +

Version: 6.0.0

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

6.0.0 - 2025-01-20​

Features​

  • Improved segmentation quality

Changed​

  • Changed MediaProcessorConfig option mediapipeBaseAssetsUri. This option allows you to set the path of the mediapipe assets to be used. At this Uri the library expects the following file routes to be available:
/task-vision.js
/wasm/vision_wasm_internal.js
/wasm/vision_wasm_internal.wasm

Added​

  • Added optional MediaProcessorConfig option modelAssetUriPath. This option allows you to set the url of the tflite model to be used. However the library will used provided hosted assets by default so we do NOT recommend using it.

Removed​

  • Removed MediaProcessorConfig option wasmAssetUriPath, use mediapipeBaseAssetsUri instead to specify assets path if needed.
  • Removed MediaProcessorConfig option tfliteAssetUriPath, use mediapipeBaseAssetsUri instead to specify assets path if needed.

5.1.3 - 2024-03-21​

Fix​

  • npm publish issues.

5.1.2 - 2023-10-16​

Features​

  • Upgrade @vonage/media-processor to version 2.0.4

5.1.2 - 2023-10-16​

Fix​

  • Fix remanent background regression in 5.1.1.

5.1.1 - 2023-10-5​

Fix​

  • Fix image/video preloading while setting background options.

5.1.0 - 2023-8-22​

Features​

  • Enable/Disable function on VonageMediaProcessor.

Fix​

  • Fix a bug preventing processor to be used after worker being destroyed

5.0.1 - 2023-3-29​

Features​

  • Upgrade @vonage/media-processor to version 2.0.3
  • Upgrade @vonage/js-workerizer to version 1.1.2
  • Upgrade @vonage/js-onewebrtc-telemetry to version 1.1.2

5.0.0 - 2023-2-23​

Added​

Changed​

  • selfieSegmentationType is now part of renderingOptions and is not a field of the config anymore.

4.3.6 - 2023-2-17​

Added​

  • Added a check where an error will be thrown if a unknown transformer type is requested.

4.3.5 - 2023-2-9​

Added​

  • The library now logs background transformer create and update events if metadata is set with setVonageMetadata. The infos logged allow Vonage to measure performances of the different filters in order to improve them.

4.3.4 - 2023-1-26​

Fixed​

  • Fix SelfieSegmentationType and BackgroundTransformerType missing from the exposed symbols.

4.3.3 - 2023-1-11​

Fixed​

  • Fix new VideoFrame timestamp in order to prevent syncing issue between audio and video.

4.3.2 - 2022-12-7​

Fixed​

  • Fix background option runtime change for blur config.

4.3.1 - 2022-11-25​

Added​

  • New profile function on media processor. It will download a stacktrace of the gpu programs. This file is compatible with https://www.speedscope.app/

Changed​

  • Blur downscale its input by a factor of 8 before processing in order to improve performance.

4.3.0 - 2022-11-24​

Added​

  • Add webgl support check to isSuppported and getSupportedBrowserFeatures

4.2.1 - 2022-11-23​

Fixed​

  • Fixing a webpack umd bundling capabilities when the library was used within another lib.

4.2.0 - 2022-11-7​

Added​

  • New function getSupportedBrowserFeatures providing a more detailled overview of what features is supported by the browser

Changed​

  • New optional parameters wasmAssetUriPath and tfliteAssetUriPath to getSupported function allowing specifying which tflite/wasm path.

4.1.0 - 2022-11-4​

Added​

  • BackgroundTransformer transformer is exposed by the library so it can now be imported directly and used as a regular transformer.

4.0.1 - 2022-10-20​

Fixed​

  • Fix vitual background loading if the initial config was using it.

4.0.0 - 2022-10-20​

Added​

  • Full library documentation. Here.
  • Export list updated.
  • New option 'selfieSegmentationType' in the BackgroundOption.

Fixed​

  • Memory leak while switching filter is now fixed.

Enhancements​

  • Rendering is processing using WebGL.
  • SelfieSegmentation used for background filter is running on a WebWorker.

Changed​

  • New postprocessing filter on the selfie segmentation which reduce flickering. This process is enable by default for virtual background and video background. Could be disabled/enabled for all background filters using the option 'selfieSegmentationType'.
  • MediaPipe metadata objects exports changed to functions export.
  • Type MediaPipeModelType changed to enum.
  • createVonageMediaProcessorConnector, getVonageEventEmitter, setTrackExpectedRate and setBackgroundOptions removed. Use createVonageMediaProcessor instead.

Deprecated​

  • NA

3.2.0 - 2022-10-11​

Added​

  • New class VonageMediaProcessor

Fixed​

  • This version includes changes made in the context of ticket where fixing the error of creating more then one MediaProcessorConnectorInterface.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • createVonageMediaProcessorConnector
  • createVonageMediaProcessorConnector
  • getVonageEventEmitter
  • setTrackExpectedRate
  • setBackgroundOptions

3.1.1 - 2022-08-30​

Added​

  • NA

Fixed​

  • This version includes changes made in the context of ticket where more improvements and tweaks were added in order to improve the viewing experience when blurring.
  • This version includes changes made in the context of ticket cross origin source fix.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.1.0 - 2022-08-01​

Added​

  • Option to set blur radius as a number.

Fixed​

  • Fixes bug where new tweaks are applied in order to improve image quality and the overall viewing experience when blurring.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.0.0 - 2022-06-29​

Added​

  • New Vonage Mediapipe objects:
    • VonageSelfiesegmentation
    • VonageHands
    • VonageHolistic
    • VonageFacedetection
    • VonageFacemash
    • VonageObjectron
    • VonagePose

Fixed​

  • Fixes bug where all library properties added to the window object in previous versions are now removed.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.4 - 2022-06-27​

Added​

  • NA

Fixed​

  • Fixes bug where a call to destroy the media processor could not resolve when destroying the media stream track instance before.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.3 - 2022-06-22​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.2 - 2022-06-20​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.1 - 2022-06-13​

Added​

Full integration of MediaPipe:​

  • Face Detection
  • Face Mesh
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation (already used by the library for background processes)

Added static assets for each MediaPipe model on S3 behind could front CDN (supports CORS)​

Please refer this warning https://vonage.github.io/ml-transformers-docs/modules.html#MediaPipeModelConfig about assetsUri​

Fixed​

  • Workers destruction at end of process.
  • Permormance improvements in 40% less CPU usage of all post processe operations.
  • Fixed bugs.

Enhancements​

  • NA

Changed​

Deprecated​

  • NA

1.3.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Re-names of functions:

    getMetadata -> getVonageMetadata

    setMetadata -> setVonageMetadata

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Fix setMetaData setting option. now if not calling setMetaData stats will not be sent. When calling setMetaData({'appId' : '123', sourceType: 'test'}) stats will be sent.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.0 - 2022-03-15​

Added​

  • ML-Transformer implements an async event emitter pattern. for error and warn
  • setTrackExpectedRate - Allow the user to set the expected rate of the track. An warn will be emit when 20% drop of the expected rate of the track.

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.1.0 - 2022-03-09​

Added​

  • NA

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.0.0 - 2022-03-08​

Added​

  • First GA library version.

Fixed​

  • NA

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA
Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/classes/BackgroundTransformer/index.html b/docs/docs/api/classes/BackgroundTransformer/index.html index 76764bb..bd6b625 100644 --- a/docs/docs/api/classes/BackgroundTransformer/index.html +++ b/docs/docs/api/classes/BackgroundTransformer/index.html @@ -1,16 +1,16 @@ - + -Class: BackgroundTransformer | Vonage ML Transformers Documentation - - +Class: BackgroundTransformer | Vonage ML Transformers Documentation + +
-

Class: BackgroundTransformer

Constructors​

constructor​

• new BackgroundTransformer()

Methods​

init​

▸ init(id, config): Promise<void>

Parameters​

NameType
idstring
configBackgroundOptions

Returns​

Promise<void>

transform​

▸ Optional transform(frame, controller): Promise<void>

Parameters​

NameType
frameVideoFrame
controllerTransformStreamDefaultController<any>

Returns​

Promise<void>

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

setVideoBGReadable​

▸ setVideoBGReadable(stream): Promise<void>

Parameters​

NameType
streamReadableStream<any>

Returns​

Promise<void>

setVirtualBGImage​

▸ setVirtualBGImage(image): Promise<void>

Parameters​

NameType
imageImageBitmap

Returns​

Promise<void>

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

getTransformerType​

▸ getTransformerType(): string

Returns​

string

enable​

▸ enable(): void

Returns​

void

disable​

▸ disable(): void

Returns​

void

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Class: BackgroundTransformer

Constructors​

constructor​

• new BackgroundTransformer()

Methods​

init​

▸ init(id, config): Promise<void>

Parameters​

NameType
idstring
configBackgroundOptions

Returns​

Promise<void>

transform​

▸ Optional transform(frame, controller): Promise<void>

Parameters​

NameType
frameVideoFrame
controllerTransformStreamDefaultController<any>

Returns​

Promise<void>

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

setVideoBGReadable​

▸ setVideoBGReadable(stream): Promise<void>

Parameters​

NameType
streamReadableStream<any>

Returns​

Promise<void>

setVirtualBGImage​

▸ setVirtualBGImage(image): Promise<void>

Parameters​

NameType
imageImageBitmap

Returns​

Promise<void>

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

getTransformerType​

▸ getTransformerType(): string

Returns​

string

enable​

▸ enable(): void

Returns​

void

disable​

▸ disable(): void

Returns​

void

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/classes/MediapipeHelper/index.html b/docs/docs/api/classes/MediapipeHelper/index.html index 2c198ac..74b037b 100644 --- a/docs/docs/api/classes/MediapipeHelper/index.html +++ b/docs/docs/api/classes/MediapipeHelper/index.html @@ -1,16 +1,16 @@ - + -Class: MediapipeHelper | Vonage ML Transformers Documentation - - +Class: MediapipeHelper | Vonage ML Transformers Documentation + +
-

Class: MediapipeHelper

Constructors​

constructor​

• new MediapipeHelper()

Methods​

initialize​

▸ initialize(config): Promise<void>

Parameters​

NameType
configMediapipeConfig

Returns​

Promise<void>

close​

▸ close(modelType?): Promise<void>

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

Promise<void>

send​

▸ send(image, modelType?): Promise<void>

Parameters​

NameType
imageImageBitmap | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | OffscreenCanvas
modelType?MediaPipeModelType

Returns​

Promise<void>

reset​

▸ reset(modelType?): void

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

void

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Class: MediapipeHelper

Constructors​

constructor​

• new MediapipeHelper()

Methods​

initialize​

▸ initialize(config): Promise<void>

Parameters​

NameType
configMediapipeConfig

Returns​

Promise<void>

close​

▸ close(modelType?): Promise<void>

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

Promise<void>

send​

▸ send(image, modelType?): Promise<void>

Parameters​

NameType
imageImageBitmap | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | OffscreenCanvas
modelType?MediaPipeModelType

Returns​

Promise<void>

reset​

▸ reset(modelType?): void

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

void

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/classes/VonageMediaProcessor/index.html b/docs/docs/api/classes/VonageMediaProcessor/index.html index 10e7556..7621de0 100644 --- a/docs/docs/api/classes/VonageMediaProcessor/index.html +++ b/docs/docs/api/classes/VonageMediaProcessor/index.html @@ -1,15 +1,15 @@ - + -Class: VonageMediaProcessor | Vonage ML Transformers Documentation - - +Class: VonageMediaProcessor | Vonage ML Transformers Documentation + +
-

Class: VonageMediaProcessor

Class wrapping features provided by ml-transformers.

Hierarchy​

Methods​

profile​

▸ Static profile(duration): Promise<WebglProfilerReporter>

Parameters​

NameType
durationnumber

Returns​

Promise<WebglProfilerReporter>

create​

▸ Static create(config): Promise<VonageMediaProcessor>

Asynchronous constructor of VonageMediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionsInitial MediaProcessorConfig to use

Returns​

Promise<VonageMediaProcessor>

Promise resolved with an initialized MediaProcessorConfig

mixin​

▸ Static mixin(emitteryPropertyName, methodNames?): <T>(klass: T) => T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');

Parameters​

NameType
emitteryPropertyNamestring | symbol
methodNames?readonly string[]

Returns​

fn

▸ <T>(klass): T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');
Type parameters​
NameType
Textends (...arguments_: readonly any[]) => any
Parameters​
NameType
klassT
Returns​

T

Inherited from​

Emittery.mixin

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

change the background option during run time using this function. +

Version: 6.0.0

Class: VonageMediaProcessor

Class wrapping features provided by ml-transformers.

Hierarchy​

Methods​

profile​

▸ Static profile(duration): Promise<WebglProfilerReporter>

Parameters​

NameType
durationnumber

Returns​

Promise<WebglProfilerReporter>

create​

▸ Static create(config): Promise<VonageMediaProcessor>

Asynchronous constructor of VonageMediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionsInitial MediaProcessorConfig to use

Returns​

Promise<VonageMediaProcessor>

Promise resolved with an initialized MediaProcessorConfig

mixin​

▸ Static mixin(emitteryPropertyName, methodNames?): <T>(klass: T) => T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');

Parameters​

NameType
emitteryPropertyNamestring | symbol
methodNames?readonly string[]

Returns​

fn

▸ <T>(klass): T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');
Type parameters​
NameType
Textends (...arguments_: readonly any[]) => any
Parameters​
NameType
klassT
Returns​

T

Inherited from​

Emittery.mixin

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

change the background option during run time using this function. while using this function the media-processor will not be destroyed. while using this function the library promise a full resource cleanup.

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

enable​

▸ enable(): Promise<void>

Enable the processing

Returns​

Promise<void>

disable​

▸ disable(): Promise<void>

Disable the processing

Returns​

Promise<void>

setTrackExpectedRate​

▸ setTrackExpectedRate(rate): void

Sets the expected rate of the track per second. The media processor will use this number for calculating drops in the rate. @@ -19,7 +19,7 @@ Video: 30 frames per second Audio: 50 audio data per second for OPUS

Parameters​

NameTypeDescription
ratenumbernumber holds the predicted track rate. -1 for disable this monitor.

Returns​

void

getConnector​

▸ getConnector(): MediaProcessorConnector

Getter for MediaProcessorConnectorInterface connector attribute.

Returns​

MediaProcessorConnector

  • MediaProcessorConnectorInterface feed this return value to any vonage SDK that supports this API

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

on​

▸ on<Name>(eventName, listener): UnsubscribeFunction

Subscribe to one or more events.

Using the same listener multiple times for the same event will result in only one method call per emitted event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on('🦄', data => {
    console.log(data);
});

emitter.on(['🦄', '🐶'], data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // log => '🌈' x2
emitter.emit('🐶', '🍖'); // log => '🍖'

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

UnsubscribeFunction

An unsubscribe method.

Inherited from​

Emittery.on

events​

▸ events<Name>(eventName): AsyncIterableIterator<EventDataMap[Name]>

Get an async iterator which buffers data each time an event is emitted.

Call return() on the iterator to remove the subscription.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

In practice you would usually consume the events using the for await statement. In that case, to revoke the subscription simply break the loop.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

// In an async context.
for await (const data of iterator) {
    if (data === '🌈2') {
        break; // Revoke the subscription when we see the value `🌈2`.
    }
}

It accepts multiple event names.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events(['🦄', '🦊']);

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦊', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

AsyncIterableIterator<EventDataMap[Name]>

Inherited from​

Emittery.events

off​

▸ off<Name>(eventName, listener): void

Remove one or more event subscriptions.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const listener = data => {
    console.log(data);
};

emitter.on(['🦄', '🐶', '🦊'], listener);
await emitter.emit('🦄', 'a');
await emitter.emit('🐶', 'b');
await emitter.emit('🦊', 'c');
emitter.off('🦄', listener);
emitter.off(['🐶', '🦊'], listener);
await emitter.emit('🦄', 'a'); // nothing happens
await emitter.emit('🐶', 'b'); // nothing happens
await emitter.emit('🦊', 'c'); // nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.off

once​

▸ once<Name>(eventName): EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

Subscribe to one or more events only once. It will be unsubscribed after the first event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.once('🦄').then(data => {
    console.log(data);
    //=> '🌈'
});

emitter.once(['🦄', '🐶']).then(data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // Logs `🌈` twice
emitter.emit('🐶', '🍖'); // Nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

The promise of event data when eventName is emitted. This promise is extended with an off method.

Inherited from​

Emittery.once

emit​

▸ emit<Name>(eventName): Promise<void>

Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done. Done meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected.

Inherited from​

Emittery.emit

▸ emit<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emit

emitSerial​

▸ emitSerial<Name>(eventName): Promise<void>

Same as emit(), but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer emit() whenever possible.

If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will not be called.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done.

Inherited from​

Emittery.emitSerial

▸ emitSerial<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emitSerial

onAny​

▸ onAny(listener): UnsubscribeFunction

Subscribe to be notified about any event.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

UnsubscribeFunction

A method to unsubscribe.

Inherited from​

Emittery.onAny

anyEvent​

▸ anyEvent(): AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Get an async iterator which buffers a tuple of an event name and data each time an event is emitted.

Call return() on the iterator to remove the subscription.

In the same way as for events, you can subscribe by using the for await statement.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.anyEvent();

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🌟', '🌈2'); // Buffered

iterator.next()
    .then(({value, done}) => {
        // done is false
        // value is ['🦄', '🌈1']
        return iterator.next();
    })
    .then(({value, done}) => {
        // done is false
        // value is ['🌟', '🌈2']
        // revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done is true
    });

Returns​

AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Inherited from​

Emittery.anyEvent

offAny​

▸ offAny(listener): void

Remove an onAny subscription.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.offAny

clearListeners​

▸ clearListeners<Name>(eventName?): void

Clear all event listeners on the instance.

If eventName is given, only the listeners for that event are cleared.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

void

Inherited from​

Emittery.clearListeners

listenerCount​

▸ listenerCount<Name>(eventName?): number

The number of listeners for the eventName or all events if not specified.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

number

Inherited from​

Emittery.listenerCount

bindMethods​

▸ bindMethods(target, methodNames?): void

Bind the given methodNames, or all Emittery methods if methodNames is not defined, into the target object.

Example

import Emittery from 'emittery';

const object = {};

new Emittery().bindMethods(object);

object.emit('event');

Parameters​

NameType
targetRecord<string, unknown>
methodNames?readonly string[]

Returns​

void

Inherited from​

Emittery.bindMethods

Properties​

isDebugEnabled​

▪ Static isDebugEnabled: boolean

Toggle debug mode for all instances.

Default: true if the DEBUG environment variable is set to emittery or *, otherwise false.

Example

import Emittery from 'emittery';

Emittery.isDebugEnabled = true;

const emitter1 = new Emittery({debug: {name: 'myEmitter1'}});
const emitter2 = new Emittery({debug: {name: 'myEmitter2'}});

emitter1.on('test', data => {
    // …
});

emitter2.on('otherTest', data => {
    // …
});

emitter1.emit('test');
//=> [16:43:20.417][emittery:subscribe][myEmitter1] Event Name: test
//  data: undefined

emitter2.emit('otherTest');
//=> [16:43:20.417][emittery:subscribe][myEmitter2] Event Name: otherTest
//  data: undefined

Inherited from​

Emittery.isDebugEnabled

listenerAdded​

▪ Static Readonly listenerAdded: typeof listenerAdded

Fires when an event listener was added.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on(Emittery.listenerAdded, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

emitter.on('🦄', data => {
    // Handle data
});

Inherited from​

Emittery.listenerAdded

listenerRemoved​

▪ Static Readonly listenerRemoved: typeof listenerRemoved

Fires when an event listener was removed.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const off = emitter.on('🦄', data => {
    // Handle data
});

emitter.on(Emittery.listenerRemoved, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

off();

Inherited from​

Emittery.listenerRemoved

debug​

• debug: DebugOptions<EventDataMap>

Debugging options for the current instance.

Inherited from​

Emittery.debug

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/enums/BackgroundTransformerType/index.html b/docs/docs/api/enums/BackgroundTransformerType/index.html index cce1cfa..a6fd734 100644 --- a/docs/docs/api/enums/BackgroundTransformerType/index.html +++ b/docs/docs/api/enums/BackgroundTransformerType/index.html @@ -1,16 +1,16 @@ - + -Enumeration: BackgroundTransformerType | Vonage ML Transformers Documentation - - +Enumeration: BackgroundTransformerType | Vonage ML Transformers Documentation + +
-

Enumeration: BackgroundTransformerType

Type of transformer to instantiate

Enumeration Members​

BackgroundBlur​

• BackgroundBlur = "BackgroundBlur"

Background blur

VirtualBackground​

• VirtualBackground = "VirtualBackground"

Background replace with an image

VideoBackground​

• VideoBackground = "VideoBackground"

Background replace with an video

SilhouetteBlur​

• SilhouetteBlur = "SilhouetteBlur"

Silhouette blur

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Enumeration: BackgroundTransformerType

Type of transformer to instantiate

Enumeration Members​

BackgroundBlur​

• BackgroundBlur = "BackgroundBlur"

Background blur

VirtualBackground​

• VirtualBackground = "VirtualBackground"

Background replace with an image

VideoBackground​

• VideoBackground = "VideoBackground"

Background replace with an video

SilhouetteBlur​

• SilhouetteBlur = "SilhouetteBlur"

Silhouette blur

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/enums/BlurRadius/index.html b/docs/docs/api/enums/BlurRadius/index.html index fecb6a2..40910c7 100644 --- a/docs/docs/api/enums/BlurRadius/index.html +++ b/docs/docs/api/enums/BlurRadius/index.html @@ -1,16 +1,16 @@ - + -Enumeration: BlurRadius | Vonage ML Transformers Documentation - - +Enumeration: BlurRadius | Vonage ML Transformers Documentation + +
-

Enumeration: BlurRadius

BlurRadius specifies how much bluring filter to apply by a given transformer.

Enumeration Members​

Low​

• Low = "Low"

Low bluring filtering (5px).

High​

• High = "High"

High bluring filtering (10px).

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Enumeration: BlurRadius

BlurRadius specifies how much bluring filter to apply by a given transformer.

Enumeration Members​

Low​

• Low = "Low"

Low bluring filtering (5px).

High​

• High = "High"

High bluring filtering (10px).

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/enums/ErrorFunction/index.html b/docs/docs/api/enums/ErrorFunction/index.html index 1081286..fdcec9f 100644 --- a/docs/docs/api/enums/ErrorFunction/index.html +++ b/docs/docs/api/enums/ErrorFunction/index.html @@ -1,16 +1,16 @@ - + -Enumeration: ErrorFunction | Vonage ML Transformers Documentation - - +Enumeration: ErrorFunction | Vonage ML Transformers Documentation + +
-

Enumeration: ErrorFunction

ErrorFunction. It specifies the transformer function in which the error occurred.

Enumeration Members​

start​

• start = "start"

start function exception.

transform​

• transform = "transform"

transform function exception.

flush​

• flush = "flush"

flush function exception.

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Enumeration: ErrorFunction

ErrorFunction. It specifies the transformer function in which the error occurred.

Enumeration Members​

start​

• start = "start"

start function exception.

transform​

• transform = "transform"

transform function exception.

flush​

• flush = "flush"

flush function exception.

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/enums/PipelineInfoData/index.html b/docs/docs/api/enums/PipelineInfoData/index.html index 692d504..f4448a4 100644 --- a/docs/docs/api/enums/PipelineInfoData/index.html +++ b/docs/docs/api/enums/PipelineInfoData/index.html @@ -1,20 +1,20 @@ - + -Enumeration: PipelineInfoData | Vonage ML Transformers Documentation - - +Enumeration: PipelineInfoData | Vonage ML Transformers Documentation + +
-

Enumeration: PipelineInfoData

PipelineInfolData. Life cycle information of insertable streams pipeline.

Enumeration Members​

pipeline_ended​

• pipeline_ended = "pipeline_ended"

Notify the app that the pipeline has ended.

pipeline_ended_with_error​

• pipeline_ended_with_error = "pipeline_ended_with_error"

Notify the app that the pipeline has ended with an error.

pipeline_started​

• pipeline_started = "pipeline_started"

Notify the app that the pipeline has started.

pipeline_started_with_error​

• pipeline_started_with_error = "pipeline_started_with_error"

Notify the app that the pipeline has started with an error.

pipeline_restarted​

• pipeline_restarted = "pipeline_restarted"

Notify the app that the pipeline has restarted. +

Version: 6.0.0

Enumeration: PipelineInfoData

PipelineInfolData. Life cycle information of insertable streams pipeline.

Enumeration Members​

pipeline_ended​

• pipeline_ended = "pipeline_ended"

Notify the app that the pipeline has ended.

pipeline_ended_with_error​

• pipeline_ended_with_error = "pipeline_ended_with_error"

Notify the app that the pipeline has ended with an error.

pipeline_started​

• pipeline_started = "pipeline_started"

Notify the app that the pipeline has started.

pipeline_started_with_error​

• pipeline_started_with_error = "pipeline_started_with_error"

Notify the app that the pipeline has started with an error.

pipeline_restarted​

• pipeline_restarted = "pipeline_restarted"

Notify the app that the pipeline has restarted. This message is fired after changing track in the middle of the process. For example switching camera source.

pipeline_restarted_with_error​

• pipeline_restarted_with_error = "pipeline_restarted_with_error"

Notify the app that the pipeline has restarted with an error. This message is fired after changing track in the middle of the process. For example switching camera source.

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/enums/RenderingType/index.html b/docs/docs/api/enums/RenderingType/index.html index 1b8b22f..a14f3a5 100644 --- a/docs/docs/api/enums/RenderingType/index.html +++ b/docs/docs/api/enums/RenderingType/index.html @@ -1,16 +1,16 @@ - + -Enumeration: RenderingType | Vonage ML Transformers Documentation - - +Enumeration: RenderingType | Vonage ML Transformers Documentation + +
-

Enumeration: RenderingType

Enumeration Members​

CANVAS​

• CANVAS = "CANVAS"

WEBGL​

• WEBGL = "WEBGL"

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Enumeration: RenderingType

Enumeration Members​

CANVAS​

• CANVAS = "CANVAS"

WEBGL​

• WEBGL = "WEBGL"

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/enums/WarningType/index.html b/docs/docs/api/enums/WarningType/index.html index 56df120..086d768 100644 --- a/docs/docs/api/enums/WarningType/index.html +++ b/docs/docs/api/enums/WarningType/index.html @@ -1,16 +1,16 @@ - + -Enumeration: WarningType | Vonage ML Transformers Documentation - - +Enumeration: WarningType | Vonage ML Transformers Documentation + +
-

Enumeration: WarningType

WarningType specifies the type of warning from the transformer

Enumeration Members​

FPS_DROP​

• FPS_DROP = "fps_drop"

Warning about change in process rate

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Enumeration: WarningType

WarningType specifies the type of warning from the transformer

Enumeration Members​

FPS_DROP​

• FPS_DROP = "fps_drop"

Warning about change in process rate

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/enums/WebglSelfieSegmentationType/index.html b/docs/docs/api/enums/WebglSelfieSegmentationType/index.html index 3e0608e..4ccee83 100644 --- a/docs/docs/api/enums/WebglSelfieSegmentationType/index.html +++ b/docs/docs/api/enums/WebglSelfieSegmentationType/index.html @@ -1,18 +1,18 @@ - + -Enumeration: WebglSelfieSegmentationType | Vonage ML Transformers Documentation - - +Enumeration: WebglSelfieSegmentationType | Vonage ML Transformers Documentation + +
-

Enumeration: WebglSelfieSegmentationType

Selfie segmentation algorithm type +

Version: 6.0.0

Enumeration: WebglSelfieSegmentationType

Selfie segmentation algorithm type Fast can flickering but has low impact on performance Precise avoid glitches and flickering, but is most costly.

More explanations could be find here: https://vonage.github.io/ml-transformers-docs/docs/post-processing

Enumeration Members​

FAST​

• FAST = "FAST"

No selfie segmentation post-processing. It might produce flickering and has low impact on performance.

PRECISE​

• PRECISE = "PRECISE"

Enable selfie segmentation post-processing. It reduces flickering and glitches, however it might have some impact on performance.

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/index.html b/docs/docs/api/index.html index 20e69d6..38264fc 100644 --- a/docs/docs/api/index.html +++ b/docs/docs/api/index.html @@ -1,15 +1,15 @@ - + -@vonage/ml-transformers | Vonage ML Transformers Documentation - - +@vonage/ml-transformers | Vonage ML Transformers Documentation + +
-

@vonage/ml-transformers

Classes​

Enumerations​

Interfaces​

Functions​

getVonageSelfieSegmentation​

▸ getVonageSelfieSegmentation(): VonageSelfieSegmentation

MediaPipe Selfie Segmentation static metadata.

Returns​

VonageSelfieSegmentation

An object containing MediaPipe Selfie Segmentation metadata:

  • VERSION

getVonageHands​

▸ getVonageHands(): VonageHands

Vonage Mediapipe objects info (it will be used by the @mediapipe/drawing_utils package which is not included by this library).

Returns​

VonageHands

getVonageHolistic​

▸ getVonageHolistic(): VonageHolistic

MediaPipe Holistic static metadata. +

Version: 6.0.0

@vonage/ml-transformers

Classes​

Enumerations​

Interfaces​

Functions​

getVonageSelfieSegmentation​

▸ getVonageSelfieSegmentation(): VonageSelfieSegmentation

MediaPipe Selfie Segmentation static metadata.

Returns​

VonageSelfieSegmentation

An object containing MediaPipe Selfie Segmentation metadata:

  • VERSION

getVonageHands​

▸ getVonageHands(): VonageHands

Vonage Mediapipe objects info (it will be used by the @mediapipe/drawing_utils package which is not included by this library).

Returns​

VonageHands

getVonageHolistic​

▸ getVonageHolistic(): VonageHolistic

MediaPipe Holistic static metadata. This metadata is needed while using MediaPipe. drawing utils. And control utils.

Returns​

VonageHolistic

An object containing MediaPipe Holistic metadata:

  • VERSION
  • FACE_GEOMETRY
  • FACEMESH_LIPS
  • FACEMESH_LEFT_EYE
  • FACEMESH_LEFT_EYEBROW
  • FACEMESH_LEFT_IRIS
  • FACEMESH_RIGHT_EYE
  • FACEMESH_RIGHT_EYEBROW
  • FACEMESH_RIGHT_IRIS
  • FACEMESH_FACE_OVAL
  • FACEMESH_CONTOURS
  • FACEMESH_TESSELATION
  • HAND_CONNECTIONS
  • POSE_CONNECTIONS
  • POSE_LANDMARKS
  • POSE_LANDMARKS_LEFT
  • POSE_LANDMARKS_RIGHT
  • POSE_LANDMARKS_NEUTRAL

getVonageFaceDetection​

▸ getVonageFaceDetection(): VonageFaceDetection

MediaPipe Face Detection static metadata. @@ -30,7 +30,7 @@ assets are different between mediapipe models.

Type declaration​

NameType
modelTypeMediaPipeModelType
listenerMediaPipeResultsListener
optionsFaceDetectionOptions | FaceMeshOptions | HandsOptions | HolisticOptions | ObjectronOptions | SelfieSegmentationOptions | PoseOptions
assetsUri?string

MediapipeConfig​

Ƭ MediapipeConfig: Object

MediapipeConfig specified config of mediapipe helper: this structure allows the user to create few mediapipe models that will run in parallel.

Model Types Array

  • array of mediapipe models to be loaded and called.

Type declaration​

NameType
mediaPipeModelConfigArrayMediaPipeModelConfig[]

EventMetaData​

Ƭ EventMetaData: Object

EventMetaData. Some metadata of the event.

Type declaration​

NameTypeDescription
transformerIndexnumberThe transformer index in the array of transformers.

DropInfo​

Ƭ DropInfo: Object

DropInfo gives info about the frame rate of the transformer

Type declaration​

NameTypeDescription
requestednumberThe rate predicted rate of the track
currentnumberThe actual rate of the track

WarnData​

Ƭ WarnData: Object

WarnData - MediaProcessor warning event defintion

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMeta data of the event
warningTypeWarningTypeThe waring type
dropInfo?DropInfoOptional - FPS drop info.

ErrorData​

Ƭ ErrorData: Object

ErrorData. MediaProcessor error data definition.

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMetadata of the event.
functionErrorFunctionThe function in which the error occurred.
errorunknownType of unknown but moslty will be string

EventDataMap​

Ƭ EventDataMap: Object

EventDataMap. A map type for all event options from MediaProcessor. Each event will include only one type.

Type declaration​

NameTypeDescription
warnWarnDataWarnings from the insertable streams pipeline.
errorErrorDataErrors from the insertable streams pipeline.
pipelineInfoPipelineInfoDataInfo from the insertable streams pipeline life cycle.
Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/interfaces/AssetBackgroundConfig/index.html b/docs/docs/api/interfaces/AssetBackgroundConfig/index.html index 4b27b2c..2f8e2db 100644 --- a/docs/docs/api/interfaces/AssetBackgroundConfig/index.html +++ b/docs/docs/api/interfaces/AssetBackgroundConfig/index.html @@ -1,16 +1,16 @@ - + -Interface: AssetBackgroundConfig | Vonage ML Transformers Documentation - - +Interface: AssetBackgroundConfig | Vonage ML Transformers Documentation + +
-

Interface: AssetBackgroundConfig

AssetBackgroundConfig specifies the absolute URL to the image or video file used for background replacement.

Hierarchy​

Properties​

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: AssetBackgroundConfig

AssetBackgroundConfig specifies the absolute URL to the image or video file used for background replacement.

Hierarchy​

Properties​

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/BackgroundBlurConfig/index.html b/docs/docs/api/interfaces/BackgroundBlurConfig/index.html index 1afbd88..2a2add6 100644 --- a/docs/docs/api/interfaces/BackgroundBlurConfig/index.html +++ b/docs/docs/api/interfaces/BackgroundBlurConfig/index.html @@ -1,16 +1,16 @@ - + -Interface: BackgroundBlurConfig | Vonage ML Transformers Documentation - - +Interface: BackgroundBlurConfig | Vonage ML Transformers Documentation + +
-

Interface: BackgroundBlurConfig

BackgroundBlurConfig specifies the configuration for a transformer logic that performs background blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: BackgroundBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: BackgroundBlurConfig

BackgroundBlurConfig specifies the configuration for a transformer logic that performs background blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: BackgroundBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/FaceDetectionOptions/index.html b/docs/docs/api/interfaces/FaceDetectionOptions/index.html index 6f1db06..6a3ba12 100644 --- a/docs/docs/api/interfaces/FaceDetectionOptions/index.html +++ b/docs/docs/api/interfaces/FaceDetectionOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: FaceDetectionOptions | Vonage ML Transformers Documentation - - +Interface: FaceDetectionOptions | Vonage ML Transformers Documentation + +
-

Interface: FaceDetectionOptions

Configurable options for FaceDetection.

Properties​

selfieMode​

• Optional selfieMode: boolean

model​

• Optional model: string

minDetectionConfidence​

• Optional minDetectionConfidence: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: FaceDetectionOptions

Configurable options for FaceDetection.

Properties​

selfieMode​

• Optional selfieMode: boolean

model​

• Optional model: string

minDetectionConfidence​

• Optional minDetectionConfidence: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/FaceDetectionResults/index.html b/docs/docs/api/interfaces/FaceDetectionResults/index.html index 4e0ca14..6515533 100644 --- a/docs/docs/api/interfaces/FaceDetectionResults/index.html +++ b/docs/docs/api/interfaces/FaceDetectionResults/index.html @@ -1,16 +1,16 @@ - + -Interface: FaceDetectionResults | Vonage ML Transformers Documentation - - +Interface: FaceDetectionResults | Vonage ML Transformers Documentation + +
-

Interface: FaceDetectionResults

Possible results from FaceDetection.

Properties​

detections​

• detections: DetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: FaceDetectionResults

Possible results from FaceDetection.

Properties​

detections​

• detections: DetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/FaceMeshOptions/index.html b/docs/docs/api/interfaces/FaceMeshOptions/index.html index c059d71..e9ffa15 100644 --- a/docs/docs/api/interfaces/FaceMeshOptions/index.html +++ b/docs/docs/api/interfaces/FaceMeshOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: FaceMeshOptions | Vonage ML Transformers Documentation - - +Interface: FaceMeshOptions | Vonage ML Transformers Documentation + +
-

Interface: FaceMeshOptions

Configurable options for FaceMesh.

Properties​

cameraNear​

• Optional cameraNear: number

cameraFar​

• Optional cameraFar: number

cameraVerticalFovDegrees​

• Optional cameraVerticalFovDegrees: number

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

maxNumFaces​

• Optional maxNumFaces: number

refineLandmarks​

• Optional refineLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: FaceMeshOptions

Configurable options for FaceMesh.

Properties​

cameraNear​

• Optional cameraNear: number

cameraFar​

• Optional cameraFar: number

cameraVerticalFovDegrees​

• Optional cameraVerticalFovDegrees: number

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

maxNumFaces​

• Optional maxNumFaces: number

refineLandmarks​

• Optional refineLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/FaceMeshResults/index.html b/docs/docs/api/interfaces/FaceMeshResults/index.html index 63acd66..be35d46 100644 --- a/docs/docs/api/interfaces/FaceMeshResults/index.html +++ b/docs/docs/api/interfaces/FaceMeshResults/index.html @@ -1,16 +1,16 @@ - + -Interface: FaceMeshResults | Vonage ML Transformers Documentation - - +Interface: FaceMeshResults | Vonage ML Transformers Documentation + +
-

Interface: FaceMeshResults

Possible results from FaceMesh.

Properties​

multiFaceLandmarks​

• multiFaceLandmarks: NormalizedLandmarkListList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: FaceMeshResults

Possible results from FaceMesh.

Properties​

multiFaceLandmarks​

• multiFaceLandmarks: NormalizedLandmarkListList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/FeatureSupport/index.html b/docs/docs/api/interfaces/FeatureSupport/index.html index 72a5c85..d9b8c67 100644 --- a/docs/docs/api/interfaces/FeatureSupport/index.html +++ b/docs/docs/api/interfaces/FeatureSupport/index.html @@ -1,16 +1,16 @@ - + -Interface: FeatureSupport | Vonage ML Transformers Documentation - - +Interface: FeatureSupport | Vonage ML Transformers Documentation + +
-

Interface: FeatureSupport

Feature support detail

Properties​

supported​

• supported: boolean

Is the feature supported

message​

• Optional message: string

Readable message explaining the feature is not supported

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: FeatureSupport

Feature support detail

Properties​

supported​

• supported: boolean

Is the feature supported

message​

• Optional message: string

Readable message explaining the feature is not supported

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/HandsOptions/index.html b/docs/docs/api/interfaces/HandsOptions/index.html index 9f0369c..0318be9 100644 --- a/docs/docs/api/interfaces/HandsOptions/index.html +++ b/docs/docs/api/interfaces/HandsOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: HandsOptions | Vonage ML Transformers Documentation - - +Interface: HandsOptions | Vonage ML Transformers Documentation + +
-

Interface: HandsOptions

Configurable options for Hands.

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumHands​

• Optional maxNumHands: number

modelComplexity​

• Optional modelComplexity: 0 | 1

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: HandsOptions

Configurable options for Hands.

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumHands​

• Optional maxNumHands: number

modelComplexity​

• Optional modelComplexity: 0 | 1

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/HandsResults/index.html b/docs/docs/api/interfaces/HandsResults/index.html index f8c741d..5e454cc 100644 --- a/docs/docs/api/interfaces/HandsResults/index.html +++ b/docs/docs/api/interfaces/HandsResults/index.html @@ -1,16 +1,16 @@ - + -Interface: HandsResults | Vonage ML Transformers Documentation - - +Interface: HandsResults | Vonage ML Transformers Documentation + +
-

Interface: HandsResults

Possible results from Hands.

Properties​

multiHandLandmarks​

• multiHandLandmarks: NormalizedLandmarkListList

multiHandWorldLandmarks​

• multiHandWorldLandmarks: LandmarkListList

multiHandedness​

• multiHandedness: Handedness[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: HandsResults

Possible results from Hands.

Properties​

multiHandLandmarks​

• multiHandLandmarks: NormalizedLandmarkListList

multiHandWorldLandmarks​

• multiHandWorldLandmarks: LandmarkListList

multiHandedness​

• multiHandedness: Handedness[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/HolisticOptions/index.html b/docs/docs/api/interfaces/HolisticOptions/index.html index 0df0f18..78c3964 100644 --- a/docs/docs/api/interfaces/HolisticOptions/index.html +++ b/docs/docs/api/interfaces/HolisticOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: HolisticOptions | Vonage ML Transformers Documentation - - +Interface: HolisticOptions | Vonage ML Transformers Documentation + +
-

Interface: HolisticOptions

Configurable options for Holistic.

Properties​

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

refineFaceLandmarks​

• Optional refineFaceLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: HolisticOptions

Configurable options for Holistic.

Properties​

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

refineFaceLandmarks​

• Optional refineFaceLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/HolisticResults/index.html b/docs/docs/api/interfaces/HolisticResults/index.html index 815b52a..38c5ec3 100644 --- a/docs/docs/api/interfaces/HolisticResults/index.html +++ b/docs/docs/api/interfaces/HolisticResults/index.html @@ -1,16 +1,16 @@ - + -Interface: HolisticResults | Vonage ML Transformers Documentation - - +Interface: HolisticResults | Vonage ML Transformers Documentation + +
-

Interface: HolisticResults

Possible results from Holistic.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

faceLandmarks​

• faceLandmarks: NormalizedLandmarkList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

rightHandLandmarks​

• rightHandLandmarks: NormalizedLandmarkList

leftHandLandmarks​

• leftHandLandmarks: NormalizedLandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: HolisticResults

Possible results from Holistic.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

faceLandmarks​

• faceLandmarks: NormalizedLandmarkList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

rightHandLandmarks​

• rightHandLandmarks: NormalizedLandmarkList

leftHandLandmarks​

• leftHandLandmarks: NormalizedLandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/MediaProcessorBaseConfig/index.html b/docs/docs/api/interfaces/MediaProcessorBaseConfig/index.html index 5611929..6946abe 100644 --- a/docs/docs/api/interfaces/MediaProcessorBaseConfig/index.html +++ b/docs/docs/api/interfaces/MediaProcessorBaseConfig/index.html @@ -1,15 +1,15 @@ - + -Interface: MediaProcessorBaseConfig | Vonage ML Transformers Documentation - - +Interface: MediaProcessorBaseConfig | Vonage ML Transformers Documentation + +
-

Interface: MediaProcessorBaseConfig

MediaProcessorBaseConfig specifies the absolute URL for the path where the mediapipe assets used by the transformers from this library are stored. +

Version: 6.0.0

Interface: MediaProcessorBaseConfig

MediaProcessorBaseConfig specifies the absolute URL for the path where the mediapipe assets used by the transformers from this library are stored. Vonage hosts static assets of mediapipe that will be used in case this property is not set. Vonage promises to take care of maintaining all versioning. WARNING. By using this option the developer takes responsibility of the assets and their versioning. @@ -23,7 +23,7 @@ selfie_segmentation.tflite Please keep in mind that the assets list can change between versions. All assets can be taken from node_modules/@mediapipe/selfie_segmentation

Hierarchy​

Properties​

transformerType​

• transformerType: BackgroundTransformerType

Type of transformer

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

renderingOptions​

• Optional renderingOptions: RenderingOptions

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/interfaces/ObjectronOptions/index.html b/docs/docs/api/interfaces/ObjectronOptions/index.html index ad27538..00e6f5d 100644 --- a/docs/docs/api/interfaces/ObjectronOptions/index.html +++ b/docs/docs/api/interfaces/ObjectronOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: ObjectronOptions | Vonage ML Transformers Documentation - - +Interface: ObjectronOptions | Vonage ML Transformers Documentation + +
-

Interface: ObjectronOptions

Configurable options for Objectron. (Not yet hooked up!)

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumObjects​

• Optional maxNumObjects: number

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

staticImageMode​

• Optional staticImageMode: boolean

modelName​

• Optional modelName: KnownModel

focalLength​

• Optional focalLength: number[]

principalPoint​

• Optional principalPoint: number[]

imageSize​

• Optional imageSize: number[]

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: ObjectronOptions

Configurable options for Objectron. (Not yet hooked up!)

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumObjects​

• Optional maxNumObjects: number

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

staticImageMode​

• Optional staticImageMode: boolean

modelName​

• Optional modelName: KnownModel

focalLength​

• Optional focalLength: number[]

principalPoint​

• Optional principalPoint: number[]

imageSize​

• Optional imageSize: number[]

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/ObjectronResults/index.html b/docs/docs/api/interfaces/ObjectronResults/index.html index 4a8ad51..309e308 100644 --- a/docs/docs/api/interfaces/ObjectronResults/index.html +++ b/docs/docs/api/interfaces/ObjectronResults/index.html @@ -1,16 +1,16 @@ - + -Interface: ObjectronResults | Vonage ML Transformers Documentation - - +Interface: ObjectronResults | Vonage ML Transformers Documentation + +
-

Interface: ObjectronResults

Possible results from Objectron.

Properties​

objectDetections​

• objectDetections: ObjectDetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: ObjectronResults

Possible results from Objectron.

Properties​

objectDetections​

• objectDetections: ObjectDetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/PoseOptions/index.html b/docs/docs/api/interfaces/PoseOptions/index.html index 4967349..1348255 100644 --- a/docs/docs/api/interfaces/PoseOptions/index.html +++ b/docs/docs/api/interfaces/PoseOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: PoseOptions | Vonage ML Transformers Documentation - - +Interface: PoseOptions | Vonage ML Transformers Documentation + +
-

Interface: PoseOptions

Configurable options for Pose.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: PoseOptions

Configurable options for Pose.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/PoseResults/index.html b/docs/docs/api/interfaces/PoseResults/index.html index 47088be..543f1f8 100644 --- a/docs/docs/api/interfaces/PoseResults/index.html +++ b/docs/docs/api/interfaces/PoseResults/index.html @@ -1,16 +1,16 @@ - + -Interface: PoseResults | Vonage ML Transformers Documentation - - +Interface: PoseResults | Vonage ML Transformers Documentation + +
-

Interface: PoseResults

Possible results from Pose.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

poseWorldLandmarks​

• poseWorldLandmarks: LandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: PoseResults

Possible results from Pose.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

poseWorldLandmarks​

• poseWorldLandmarks: LandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/SelfieSegmentationOptions/index.html b/docs/docs/api/interfaces/SelfieSegmentationOptions/index.html index 3167577..fbefc28 100644 --- a/docs/docs/api/interfaces/SelfieSegmentationOptions/index.html +++ b/docs/docs/api/interfaces/SelfieSegmentationOptions/index.html @@ -1,16 +1,16 @@ - + -Interface: SelfieSegmentationOptions | Vonage ML Transformers Documentation - - +Interface: SelfieSegmentationOptions | Vonage ML Transformers Documentation + +
-

Interface: SelfieSegmentationOptions

Configurable options for SelfieSegmentation.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelSelection​

• Optional modelSelection: number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: SelfieSegmentationOptions

Configurable options for SelfieSegmentation.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelSelection​

• Optional modelSelection: number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/SelfieSegmentationResults/index.html b/docs/docs/api/interfaces/SelfieSegmentationResults/index.html index 9920bdc..bfb81f5 100644 --- a/docs/docs/api/interfaces/SelfieSegmentationResults/index.html +++ b/docs/docs/api/interfaces/SelfieSegmentationResults/index.html @@ -1,16 +1,16 @@ - + -Interface: SelfieSegmentationResults | Vonage ML Transformers Documentation - - +Interface: SelfieSegmentationResults | Vonage ML Transformers Documentation + +
-

Interface: SelfieSegmentationResults

Possible results from SelfieSegmentation.

Properties​

image​

• image: GpuBuffer

segmentationMask​

• segmentationMask: GpuBuffer

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: SelfieSegmentationResults

Possible results from SelfieSegmentation.

Properties​

image​

• image: GpuBuffer

segmentationMask​

• segmentationMask: GpuBuffer

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/SilhouetteBlurConfig/index.html b/docs/docs/api/interfaces/SilhouetteBlurConfig/index.html index 25548ce..3b8e3f7 100644 --- a/docs/docs/api/interfaces/SilhouetteBlurConfig/index.html +++ b/docs/docs/api/interfaces/SilhouetteBlurConfig/index.html @@ -1,16 +1,16 @@ - + -Interface: SilhouetteBlurConfig | Vonage ML Transformers Documentation - - +Interface: SilhouetteBlurConfig | Vonage ML Transformers Documentation + +
-

Interface: SilhouetteBlurConfig

SilhouetteBlurConfig specifies the configuration for a transformer logic that performs siluete blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: SilhouetteBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: SilhouetteBlurConfig

SilhouetteBlurConfig specifies the configuration for a transformer logic that performs siluete blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: SilhouetteBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/SupportedBrowserFeatures/index.html b/docs/docs/api/interfaces/SupportedBrowserFeatures/index.html index 18128fc..4a09b61 100644 --- a/docs/docs/api/interfaces/SupportedBrowserFeatures/index.html +++ b/docs/docs/api/interfaces/SupportedBrowserFeatures/index.html @@ -1,17 +1,17 @@ - + -Interface: SupportedBrowserFeatures | Vonage ML Transformers Documentation - - +Interface: SupportedBrowserFeatures | Vonage ML Transformers Documentation + +
-

Interface: SupportedBrowserFeatures

Features supported by the browser

Properties​

wasm​

• wasm: FeatureSupport

Web assembly support, required to use ml-transformer

simd​

• simd: FeatureSupport

Simd support, required to use ml-transformer

insertableStreams​

• insertableStreams: FeatureSupport

Insertable stream support, required to use ml-transformer

gpu​

• gpu: FeatureSupport

GPU processing support, optional

webgl​

• webgl: FeatureSupport

Webgl context support, required

performance​

• performance: FeatureSupport

Hardware support (whether the hardware underneath is powerful enough to run the library efficiently), optional. +

Version: 6.0.0

Interface: SupportedBrowserFeatures

Features supported by the browser

Properties​

wasm​

• wasm: FeatureSupport

Web assembly support, required to use ml-transformer

simd​

• simd: FeatureSupport

Simd support, required to use ml-transformer

insertableStreams​

• insertableStreams: FeatureSupport

Insertable stream support, required to use ml-transformer

gpu​

• gpu: FeatureSupport

GPU processing support, optional

webgl​

• webgl: FeatureSupport

Webgl context support, required

performance​

• performance: FeatureSupport

Hardware support (whether the hardware underneath is powerful enough to run the library efficiently), optional. If this flag is false, the cpu/gpu could end up overloaded producing lag/glitches.

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/api/interfaces/VideoBackgroundConfig/index.html b/docs/docs/api/interfaces/VideoBackgroundConfig/index.html index 9a3ae32..bb66f1d 100644 --- a/docs/docs/api/interfaces/VideoBackgroundConfig/index.html +++ b/docs/docs/api/interfaces/VideoBackgroundConfig/index.html @@ -1,16 +1,16 @@ - + -Interface: VideoBackgroundConfig | Vonage ML Transformers Documentation - - +Interface: VideoBackgroundConfig | Vonage ML Transformers Documentation + +
-

Interface: VideoBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given video.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VideoBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: VideoBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given video.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VideoBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/api/interfaces/VirtualBackgroundConfig/index.html b/docs/docs/api/interfaces/VirtualBackgroundConfig/index.html index f57377c..fff7d11 100644 --- a/docs/docs/api/interfaces/VirtualBackgroundConfig/index.html +++ b/docs/docs/api/interfaces/VirtualBackgroundConfig/index.html @@ -1,16 +1,16 @@ - + -Interface: VirtualBackgroundConfig | Vonage ML Transformers Documentation - - +Interface: VirtualBackgroundConfig | Vonage ML Transformers Documentation + +
-

Interface: VirtualBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given image.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VirtualBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Interface: VirtualBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given image.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VirtualBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/intro/index.html b/docs/docs/intro/index.html index cf682af..ae7d26e 100644 --- a/docs/docs/intro/index.html +++ b/docs/docs/intro/index.html @@ -1,21 +1,21 @@ - + -Vonage ML Transformers | Vonage ML Transformers Documentation - - +Vonage ML Transformers | Vonage ML Transformers Documentation + +
-

Vonage ML Transformers

Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on @vonage/media-processor, MediaPipe and TFLite

@vonage/media-processor​

Media Processor library is Vonage implementation for insertable streams for supported browsers. Documentation can be found here.

MediaPipe​

MediaPipe library is an open source library under MIT license, this library use for video enhancements. +

Version: 6.0.0

Vonage ML Transformers

Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on @vonage/media-processor, MediaPipe and TFLite

@vonage/media-processor​

Media Processor library is Vonage implementation for insertable streams for supported browsers. Documentation can be found here.

MediaPipe​

MediaPipe library is an open source library under MIT license, this library use for video enhancements. For our solution of background blur/replacement we use the Selfie Segmentation solution of MediaPipe. The library adds the support for all MediaPipe JS solutions. This helps developers create cool things with any MediaPipe JS module.

For example:

  • Funny hats
  • Dynamic zoom
  • Eyes glaze
  • Hands detection
  • And much more...

Sample applications​

Sample applications can be found here.

Background visual effects (out-of-the-box solution)​

This sample uses the Vonage Video web SDK (OpenTok). OT.Publisher API (setVideoMediaProcessorConnector) to use the Vonage Media Processor Library in a Vonage Video (OpenTok) web application.

Implementation details:​

  • Uses the MediaPipe Selfie Segmentation solution.
  • The process runs in a web worker.
  • MediaPipe solutions are based on WebGL and wasm (SIMD).
  • The solution does not come with MediaPipe binaries bundled. We added static assets under AWS Cloud Front CDN. Here are white-listed IPs for cloud front.
  • MediaProcessorConfig allows you to define mediapipeBaseAssetsUri which allows the user to self-host MediaPipe assets. However, we do NOT recommend this.

Configure​

Configure post process action.

Blur:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.
    transformerType: 'BackgroundBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Silhouette:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'SilhouetteBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Virtual (image):​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VirtualBackground',
    backgroundAssetUri: 'https://some-url-to-image.com'
}

Video:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VideoBackground',
    backgroundAssetUri: 'https://some-url-to-video.com'
}

Create Media Processor​

After configuring which post process is needed, use the helper function to create it VonageMediaProcessor

const processor = await createVonageMediaProcessor(config);
publisher.setVideoMediaProcessorConnector(processor.getConnector());

Change configuration​

To change the post process config in-flight, you can call this method without involving the publisher setBackgroundOptions

await processor.setBackgroundOptions(newConfig);

Disable/enable processing​

You can disable the postprocessing using enable/disable functions.

const processor = await createVonageMediaProcessor(config);
processor.disable();
processor.enable();

Errors, Warnings and Statistics​

isSupported​

Checks if the current browser can run our library.

try {
    await  isSupported();
} catch(e) {
    console.error(e);
}

Emitter Registration​

This solution supports Emittery You can listen event directly on VonageMediaProcessor

processor.on('error', ((eventData: ErrorData) => {
    console.error(eventData);
}))
processor.on('warn', ((eventData: WarnData) => {
    console.warn(eventData);
}))
processor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {
    console.info(eventData)
}))

Frame Drop warning​

If you like to be notified about frame rate drop use setTrackExpectedRate(number) for the expected rate of the process.

processor.setTrackExpectedRate(30)//or any other value.

Statistics​

The API collect statistics for usage and debugging purposes. However, it is up to the user to activate it.

Turn statistics on:​
const  metadata: VonageMetadata = {
    appId:  'video SDK app id',
    sourceType:  'video',
    proxyUrl: 'https://some-proxy.com' //optional
};
setVonageMetadata(metadata)
Turn statistics off: (by default the statistics are off)​
setVonageMetadata(null)

That's all you need to do in order to use our out-of-the-box background solution

MediaPipe Helper​

The library provide helper class for all MediaPipe JS solutions.

  • Face Mesh
  • Face Detection
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation

Configure MediaPipe solution​

Each configuration is up to the user.

Face Mesh:​

let  option: FaceMeshOptions = {
...
}

Face Detection:​

let  option: FaceDetectionOptions = {
...
}

Hands:​

let  option: HandsOptions = {
...
}

Holistic:​

let  option: HolisticOptions = {
...
}

Objectron:​

let  option: ObjectronOptions = {
...
}

Pose:​

let  option: PoseOptions = {
...
}

Selfie Segmentation:​

let  option: SelfieSegmentationOptions = {
...
}

MediaPipe Helper​

MediapipeHelper - Helper class that initiate and run MediaPipe modules. This class must be initialized on the application main thread

Create MediaPipe helper:​

In this example we will use face mash, but it is the same for all the other models.

mediaPipeListener(results: FaceMeshResults): void {
    //Do something with the results.
}
let mediapipeConfig: MediapipeConfig = {
    modelType: "face_mesh"
    listener: (results: FaceMeshResults): void => {
    },
    options: FaceMeshOptions,
    assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
}
let mediapipeHelper: MediapipeHelper = new MediapipeHelper()
mediapipeHelper.initialize(mediapipeConfig).then( () => {
}).catch( e => {
})

Using MediaPipe helper class:​

In this example we will demonstrate how to use the MediaPipe helper with a transformer running on the main application thread. However, we have two sample apps that run the MediaPipe helper on the main application thread and, concurrently, the transformer in a Web worker thread.

  1. Auto zoom - Using face detection to create zoom on the main person. here.
  2. Custom MediaPipe: MediaPipe can run both on application main thread and Web worker thread here.

Create transformer:​

class  MedipipeTransformer  implements  Transformer {
    mediapipeHelper: MediapipeHelper
    results?: FaceMeshResults
    constructor(message: string) {
        this.mediapipeHelper = new MediapipeHelper()
    }
    
    init():Promise<void>{
        return  new  Promise<void>((resolve, reject) => {
            let mediapipeConfig: MediapipeConfig = {
                modelType: "face_mesh"
                listener: (results: FaceMeshResults): void => {
                    this.results = results
                },
                options: FaceMeshOptions,
                assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
            }
            mediapipeHelper.initialize(mediapipeConfig).then( () => {
                resolve()
            }).catch( e => {
                reject(e)
            })
        })
    }
    
    //start function is optional.
    start(controller:TransformStreamDefaultController) {
        //In this sample nothing needs to be done.
    }
    
    //transform function is mandatory.
    transform(frame: VideoFrame, controller: TransformStreamDefaultController) {
        createImageBitmap(frame).then( image => {
            let timestamp = frame.timestamp
            frame.close()
            this.mediapipeHelper_.send(image).then( () => {
                if(this.results){
                    //Do something
                    controller.enqueue(/*new video frame*/, {timestamp})
                }
            }).catch( e => {
                console.error(e)
                controller.enqueue(frame)
            })
            this.processFrame(image, timestamp, controller)
        }).catch(e => {
            console.error(e)
            controller.enqueue(frame)
        })
    }
    
    //When using MediaPipe helper close function must be called to avoid memory leaks.
    flush(controller:TransformStreamDefaultController) {
        this.mediapipeHelper_.close().then( () => {
        }).catch( e => {
            console.error(e)
        })
    }
}
export  default  MedipipeTransformer;

Use the transformer:​

const mediapipeTransformer: MedipipeTransformer = new MedipipeTransformer()
mediapipeTransformer.init().then( () => {
    const mediaProcessor: MediaProcessor = new MediaProcessor()
    const transformers = [ mediapipeTransformer ]
    mediaProcessor.setTransformers(transformers)
    const connector: MediaProcessorConnector = new MediaProcessorConnector(mediaProcessor)
    ...
    publisher.setVideoMediaProcessorConnector(connector)
    ...
}).catch(e => {
})

License​

This project is licensed under the terms of the MIT license and is available for free.

Vonage Client Media Processing Team
- - + + \ No newline at end of file diff --git a/docs/docs/next/CHANGELOG/index.html b/docs/docs/next/CHANGELOG/index.html new file mode 100644 index 0000000..c35fa11 --- /dev/null +++ b/docs/docs/next/CHANGELOG/index.html @@ -0,0 +1,18 @@ + + + + + +Changelog | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, +and this project adheres to Semantic Versioning.

6.0.0 - 2025-01-20​

Features​

  • Improved segmentation quality

Changed​

  • Changed MediaProcessorConfig option mediapipeBaseAssetsUri. This option allows you to set the path of the mediapipe assets to be used. At this Uri the library expects the following file routes to be available:
/task-vision.js
/wasm/vision_wasm_internal.js
/wasm/vision_wasm_internal.wasm

Added​

  • Added optional MediaProcessorConfig option modelAssetUriPath. This option allows you to set the url of the tflite model to be used. However the library will used provided hosted assets by default so we do NOT recommend using it.

Removed​

  • Removed MediaProcessorConfig option wasmAssetUriPath, use mediapipeBaseAssetsUri instead to specify assets path if needed.
  • Removed MediaProcessorConfig option tfliteAssetUriPath, use mediapipeBaseAssetsUri instead to specify assets path if needed.

5.1.3 - 2024-03-21​

Fix​

  • npm publish issues.

5.1.2 - 2023-10-16​

Features​

  • Upgrade @vonage/media-processor to version 2.0.4

5.1.2 - 2023-10-16​

Fix​

  • Fix remanent background regression in 5.1.1.

5.1.1 - 2023-10-5​

Fix​

  • Fix image/video preloading while setting background options.

5.1.0 - 2023-8-22​

Features​

  • Enable/Disable function on VonageMediaProcessor.

Fix​

  • Fix a bug preventing processor to be used after worker being destroyed

5.0.1 - 2023-3-29​

Features​

  • Upgrade @vonage/media-processor to version 2.0.3
  • Upgrade @vonage/js-workerizer to version 1.1.2
  • Upgrade @vonage/js-onewebrtc-telemetry to version 1.1.2

5.0.0 - 2023-2-23​

Added​

Changed​

  • selfieSegmentationType is now part of renderingOptions and is not a field of the config anymore.

4.3.6 - 2023-2-17​

Added​

  • Added a check where an error will be thrown if a unknown transformer type is requested.

4.3.5 - 2023-2-9​

Added​

  • The library now logs background transformer create and update events if metadata is set with setVonageMetadata. The infos logged allow Vonage to measure performances of the different filters in order to improve them.

4.3.4 - 2023-1-26​

Fixed​

  • Fix SelfieSegmentationType and BackgroundTransformerType missing from the exposed symbols.

4.3.3 - 2023-1-11​

Fixed​

  • Fix new VideoFrame timestamp in order to prevent syncing issue between audio and video.

4.3.2 - 2022-12-7​

Fixed​

  • Fix background option runtime change for blur config.

4.3.1 - 2022-11-25​

Added​

  • New profile function on media processor. It will download a stacktrace of the gpu programs. This file is compatible with https://www.speedscope.app/

Changed​

  • Blur downscale its input by a factor of 8 before processing in order to improve performance.

4.3.0 - 2022-11-24​

Added​

  • Add webgl support check to isSuppported and getSupportedBrowserFeatures

4.2.1 - 2022-11-23​

Fixed​

  • Fixing a webpack umd bundling capabilities when the library was used within another lib.

4.2.0 - 2022-11-7​

Added​

  • New function getSupportedBrowserFeatures providing a more detailled overview of what features is supported by the browser

Changed​

  • New optional parameters wasmAssetUriPath and tfliteAssetUriPath to getSupported function allowing specifying which tflite/wasm path.

4.1.0 - 2022-11-4​

Added​

  • BackgroundTransformer transformer is exposed by the library so it can now be imported directly and used as a regular transformer.

4.0.1 - 2022-10-20​

Fixed​

  • Fix vitual background loading if the initial config was using it.

4.0.0 - 2022-10-20​

Added​

  • Full library documentation. Here.
  • Export list updated.
  • New option 'selfieSegmentationType' in the BackgroundOption.

Fixed​

  • Memory leak while switching filter is now fixed.

Enhancements​

  • Rendering is processing using WebGL.
  • SelfieSegmentation used for background filter is running on a WebWorker.

Changed​

  • New postprocessing filter on the selfie segmentation which reduce flickering. This process is enable by default for virtual background and video background. Could be disabled/enabled for all background filters using the option 'selfieSegmentationType'.
  • MediaPipe metadata objects exports changed to functions export.
  • Type MediaPipeModelType changed to enum.
  • createVonageMediaProcessorConnector, getVonageEventEmitter, setTrackExpectedRate and setBackgroundOptions removed. Use createVonageMediaProcessor instead.

Deprecated​

  • NA

3.2.0 - 2022-10-11​

Added​

  • New class VonageMediaProcessor

Fixed​

  • This version includes changes made in the context of ticket where fixing the error of creating more then one MediaProcessorConnectorInterface.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • createVonageMediaProcessorConnector
  • createVonageMediaProcessorConnector
  • getVonageEventEmitter
  • setTrackExpectedRate
  • setBackgroundOptions

3.1.1 - 2022-08-30​

Added​

  • NA

Fixed​

  • This version includes changes made in the context of ticket where more improvements and tweaks were added in order to improve the viewing experience when blurring.
  • This version includes changes made in the context of ticket cross origin source fix.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.1.0 - 2022-08-01​

Added​

  • Option to set blur radius as a number.

Fixed​

  • Fixes bug where new tweaks are applied in order to improve image quality and the overall viewing experience when blurring.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

3.0.0 - 2022-06-29​

Added​

  • New Vonage Mediapipe objects:
    • VonageSelfiesegmentation
    • VonageHands
    • VonageHolistic
    • VonageFacedetection
    • VonageFacemash
    • VonageObjectron
    • VonagePose

Fixed​

  • Fixes bug where all library properties added to the window object in previous versions are now removed.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.4 - 2022-06-27​

Added​

  • NA

Fixed​

  • Fixes bug where a call to destroy the media processor could not resolve when destroying the media stream track instance before.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.3 - 2022-06-22​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.2 - 2022-06-20​

Added​

  • NA

Fixed​

  • bug:

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

2.0.1 - 2022-06-13​

Added​

Full integration of MediaPipe:​

  • Face Detection
  • Face Mesh
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation (already used by the library for background processes)

Added static assets for each MediaPipe model on S3 behind could front CDN (supports CORS)​

Please refer this warning https://vonage.github.io/ml-transformers-docs/modules.html#MediaPipeModelConfig about assetsUri​

Fixed​

  • Workers destruction at end of process.
  • Permormance improvements in 40% less CPU usage of all post processe operations.
  • Fixed bugs.

Enhancements​

  • NA

Changed​

Deprecated​

  • NA

1.3.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Re-names of functions:

    getMetadata -> getVonageMetadata

    setMetadata -> setVonageMetadata

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.1 - 2022-03-31​

Added​

  • NA

Fixed​

  • Fix setMetaData setting option. now if not calling setMetaData stats will not be sent. +When calling setMetaData({'appId' : '123', sourceType: 'test'}) stats will be sent.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.2.0 - 2022-03-15​

Added​

  • ML-Transformer implements an async event emitter pattern. for error and warn
  • setTrackExpectedRate - Allow the user to set the expected rate of the track. An warn will be emit when 20% drop of the expected rate of the track.

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.1.0 - 2022-03-09​

Added​

  • NA

Fixed​

  • Add support to set uri for wasm and tflite assets.

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA

1.0.0 - 2022-03-08​

Added​

  • First GA library version.

Fixed​

  • NA

Enhancements​

  • NA

Changed​

  • NA

Deprecated​

  • NA
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/classes/BackgroundTransformer/index.html b/docs/docs/next/api/classes/BackgroundTransformer/index.html new file mode 100644 index 0000000..c692c5e --- /dev/null +++ b/docs/docs/next/api/classes/BackgroundTransformer/index.html @@ -0,0 +1,16 @@ + + + + + +Class: BackgroundTransformer | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Class: BackgroundTransformer

Constructors​

constructor​

• new BackgroundTransformer()

Methods​

init​

▸ init(id, config): Promise<void>

Parameters​

NameType
idstring
configBackgroundOptions

Returns​

Promise<void>

transform​

▸ Optional transform(frame, controller): Promise<void>

Parameters​

NameType
frameVideoFrame
controllerTransformStreamDefaultController<any>

Returns​

Promise<void>

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

setVideoBGReadable​

▸ setVideoBGReadable(stream): Promise<void>

Parameters​

NameType
streamReadableStream<any>

Returns​

Promise<void>

setVirtualBGImage​

▸ setVirtualBGImage(image): Promise<void>

Parameters​

NameType
imageImageBitmap

Returns​

Promise<void>

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

getTransformerType​

▸ getTransformerType(): string

Returns​

string

enable​

▸ enable(): void

Returns​

void

disable​

▸ disable(): void

Returns​

void

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/classes/MediapipeHelper/index.html b/docs/docs/next/api/classes/MediapipeHelper/index.html new file mode 100644 index 0000000..82de07a --- /dev/null +++ b/docs/docs/next/api/classes/MediapipeHelper/index.html @@ -0,0 +1,16 @@ + + + + + +Class: MediapipeHelper | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Class: MediapipeHelper

Constructors​

constructor​

• new MediapipeHelper()

Methods​

initialize​

▸ initialize(config): Promise<void>

Parameters​

NameType
configMediapipeConfig

Returns​

Promise<void>

close​

▸ close(modelType?): Promise<void>

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

Promise<void>

send​

▸ send(image, modelType?): Promise<void>

Parameters​

NameType
imageImageBitmap | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement | OffscreenCanvas
modelType?MediaPipeModelType

Returns​

Promise<void>

reset​

▸ reset(modelType?): void

Parameters​

NameType
modelType?MediaPipeModelType

Returns​

void

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/classes/VonageMediaProcessor/index.html b/docs/docs/next/api/classes/VonageMediaProcessor/index.html new file mode 100644 index 0000000..46bde52 --- /dev/null +++ b/docs/docs/next/api/classes/VonageMediaProcessor/index.html @@ -0,0 +1,25 @@ + + + + + +Class: VonageMediaProcessor | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Class: VonageMediaProcessor

Class wrapping features provided by ml-transformers.

Hierarchy​

Methods​

profile​

▸ Static profile(duration): Promise<WebglProfilerReporter>

Parameters​

NameType
durationnumber

Returns​

Promise<WebglProfilerReporter>

create​

▸ Static create(config): Promise<VonageMediaProcessor>

Asynchronous constructor of VonageMediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionsInitial MediaProcessorConfig to use

Returns​

Promise<VonageMediaProcessor>

Promise resolved with an initialized MediaProcessorConfig

mixin​

▸ Static mixin(emitteryPropertyName, methodNames?): <T>(klass: T) => T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');

Parameters​

NameType
emitteryPropertyNamestring | symbol
methodNames?readonly string[]

Returns​

fn

▸ <T>(klass): T

In TypeScript, it returns a decorator which mixins Emittery as property emitteryPropertyName and methodNames, or all Emittery methods if methodNames is not defined, into the target class.

Example

import Emittery from 'emittery';

@Emittery.mixin('emittery')
class MyClass {}

const instance = new MyClass();

instance.emit('event');
Type parameters​
NameType
Textends (...arguments_: readonly any[]) => any
Parameters​
NameType
klassT
Returns​

T

Inherited from​

Emittery.mixin

setBackgroundOptions​

▸ setBackgroundOptions(options): Promise<void>

change the background option during run time using this function. +while using this function the media-processor will not be destroyed. +while using this function the library promise a full resource cleanup.

Parameters​

NameType
optionsBackgroundOptions

Returns​

Promise<void>

enable​

▸ enable(): Promise<void>

Enable the processing

Returns​

Promise<void>

disable​

▸ disable(): Promise<void>

Disable the processing

Returns​

Promise<void>

setTrackExpectedRate​

▸ setTrackExpectedRate(rate): void

Sets the expected rate of the track per second. +The media processor will use this number for calculating drops in the rate. +This could happen when the transformation will take more time than expected. +This will not cause an error, just warning to the client. +Mostly: +Video: 30 frames per second +Audio: 50 audio data per second for OPUS

Parameters​

NameTypeDescription
ratenumbernumber holds the predicted track rate. -1 for disable this monitor.

Returns​

void

getConnector​

▸ getConnector(): MediaProcessorConnector

Getter for MediaProcessorConnectorInterface connector attribute.

Returns​

MediaProcessorConnector

  • MediaProcessorConnectorInterface feed this return value to any vonage SDK that supports this API

profile​

▸ profile(duration): Promise<ResolvedWebglQuery[]>

Parameters​

NameType
durationnumber

Returns​

Promise<ResolvedWebglQuery[]>

on​

▸ on<Name>(eventName, listener): UnsubscribeFunction

Subscribe to one or more events.

Using the same listener multiple times for the same event will result in only one method call per emitted event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on('🦄', data => {
    console.log(data);
});

emitter.on(['🦄', '🐶'], data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // log => '🌈' x2
emitter.emit('🐶', '🍖'); // log => '🍖'

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

UnsubscribeFunction

An unsubscribe method.

Inherited from​

Emittery.on

events​

▸ events<Name>(eventName): AsyncIterableIterator<EventDataMap[Name]>

Get an async iterator which buffers data each time an event is emitted.

Call return() on the iterator to remove the subscription.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

In practice you would usually consume the events using the for await statement. In that case, to revoke the subscription simply break the loop.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events('🦄');

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦄', '🌈2'); // Buffered

// In an async context.
for await (const data of iterator) {
    if (data === '🌈2') {
        break; // Revoke the subscription when we see the value `🌈2`.
    }
}

It accepts multiple event names.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.events(['🦄', '🦊']);

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🦊', '🌈2'); // Buffered

iterator
    .next()
    .then(({value, done}) => {
        // done === false
        // value === '🌈1'
        return iterator.next();
    })
    .then(({value, done}) => {
        // done === false
        // value === '🌈2'
        // Revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done === true
    });

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

AsyncIterableIterator<EventDataMap[Name]>

Inherited from​

Emittery.events

off​

▸ off<Name>(eventName, listener): void

Remove one or more event subscriptions.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const listener = data => {
    console.log(data);
};

emitter.on(['🦄', '🐶', '🦊'], listener);
await emitter.emit('🦄', 'a');
await emitter.emit('🐶', 'b');
await emitter.emit('🦊', 'c');
emitter.off('🦄', listener);
emitter.off(['🐶', '🦊'], listener);
await emitter.emit('🦄', 'a'); // nothing happens
await emitter.emit('🐶', 'b'); // nothing happens
await emitter.emit('🦊', 'c'); // nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]
listener(eventData: EventDataMap & OmnipresentEventData[Name]) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.off

once​

▸ once<Name>(eventName): EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

Subscribe to one or more events only once. It will be unsubscribed after the first +event.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.once('🦄').then(data => {
    console.log(data);
    //=> '🌈'
});

emitter.once(['🦄', '🐶']).then(data => {
    console.log(data);
});

emitter.emit('🦄', '🌈'); // Logs `🌈` twice
emitter.emit('🐶', '🍖'); // Nothing happens

Type parameters​

NameType
Nameextends keyof EventDataMap | keyof OmnipresentEventData

Parameters​

NameType
eventNameName | readonly Name[]

Returns​

EmitteryOncePromise<EventDataMap & OmnipresentEventData[Name]>

The promise of event data when eventName is emitted. This promise is extended with an off method.

Inherited from​

Emittery.once

emit​

▸ emit<Name>(eventName): Promise<void>

Trigger an event asynchronously, optionally with some data. Listeners are called in the order they were added, but executed concurrently.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done. Done meaning executed if synchronous or resolved when an async/promise-returning function. You usually wouldn't want to wait for this, but you could for example catch possible errors. If any of the listeners throw/reject, the returned promise will be rejected with the error, but the other listeners will not be affected.

Inherited from​

Emittery.emit

▸ emit<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emit

emitSerial​

▸ emitSerial<Name>(eventName): Promise<void>

Same as emit(), but it waits for each listener to resolve before triggering the next one. This can be useful if your events depend on each other. Although ideally they should not. Prefer emit() whenever possible.

If any of the listeners throw/reject, the returned promise will be rejected with the error and the remaining listeners will not be called.

Type parameters​

NameType
Nameextends never

Parameters​

NameType
eventNameName

Returns​

Promise<void>

A promise that resolves when all the event listeners are done.

Inherited from​

Emittery.emitSerial

▸ emitSerial<Name>(eventName, eventData): Promise<void>

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventNameName
eventDataEventDataMap[Name]

Returns​

Promise<void>

Inherited from​

Emittery.emitSerial

onAny​

▸ onAny(listener): UnsubscribeFunction

Subscribe to be notified about any event.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

UnsubscribeFunction

A method to unsubscribe.

Inherited from​

Emittery.onAny

anyEvent​

▸ anyEvent(): AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Get an async iterator which buffers a tuple of an event name and data each time an event is emitted.

Call return() on the iterator to remove the subscription.

In the same way as for events, you can subscribe by using the for await statement.

Example

import Emittery from 'emittery';

const emitter = new Emittery();
const iterator = emitter.anyEvent();

emitter.emit('🦄', '🌈1'); // Buffered
emitter.emit('🌟', '🌈2'); // Buffered

iterator.next()
    .then(({value, done}) => {
        // done is false
        // value is ['🦄', '🌈1']
        return iterator.next();
    })
    .then(({value, done}) => {
        // done is false
        // value is ['🌟', '🌈2']
        // revoke subscription
        return iterator.return();
    })
    .then(({done}) => {
        // done is true
    });

Returns​

AsyncIterableIterator<[keyof EventDataMap, WarnData | ErrorData | PipelineInfoData]>

Inherited from​

Emittery.anyEvent

offAny​

▸ offAny(listener): void

Remove an onAny subscription.

Parameters​

NameType
listener(eventName: keyof EventDataMap, eventData: WarnData | ErrorData | PipelineInfoData) => void | Promise<void>

Returns​

void

Inherited from​

Emittery.offAny

clearListeners​

▸ clearListeners<Name>(eventName?): void

Clear all event listeners on the instance.

If eventName is given, only the listeners for that event are cleared.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

void

Inherited from​

Emittery.clearListeners

listenerCount​

▸ listenerCount<Name>(eventName?): number

The number of listeners for the eventName or all events if not specified.

Type parameters​

NameType
Nameextends keyof EventDataMap

Parameters​

NameType
eventName?Name | readonly Name[]

Returns​

number

Inherited from​

Emittery.listenerCount

bindMethods​

▸ bindMethods(target, methodNames?): void

Bind the given methodNames, or all Emittery methods if methodNames is not defined, into the target object.

Example

import Emittery from 'emittery';

const object = {};

new Emittery().bindMethods(object);

object.emit('event');

Parameters​

NameType
targetRecord<string, unknown>
methodNames?readonly string[]

Returns​

void

Inherited from​

Emittery.bindMethods

Properties​

isDebugEnabled​

▪ Static isDebugEnabled: boolean

Toggle debug mode for all instances.

Default: true if the DEBUG environment variable is set to emittery or *, otherwise false.

Example

import Emittery from 'emittery';

Emittery.isDebugEnabled = true;

const emitter1 = new Emittery({debug: {name: 'myEmitter1'}});
const emitter2 = new Emittery({debug: {name: 'myEmitter2'}});

emitter1.on('test', data => {
    // …
});

emitter2.on('otherTest', data => {
    // …
});

emitter1.emit('test');
//=> [16:43:20.417][emittery:subscribe][myEmitter1] Event Name: test
//  data: undefined

emitter2.emit('otherTest');
//=> [16:43:20.417][emittery:subscribe][myEmitter2] Event Name: otherTest
//  data: undefined

Inherited from​

Emittery.isDebugEnabled

listenerAdded​

▪ Static Readonly listenerAdded: typeof listenerAdded

Fires when an event listener was added.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

emitter.on(Emittery.listenerAdded, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

emitter.on('🦄', data => {
    // Handle data
});

Inherited from​

Emittery.listenerAdded

listenerRemoved​

▪ Static Readonly listenerRemoved: typeof listenerRemoved

Fires when an event listener was removed.

An object with listener and eventName (if on or off was used) is provided as event data.

Example

import Emittery from 'emittery';

const emitter = new Emittery();

const off = emitter.on('🦄', data => {
    // Handle data
});

emitter.on(Emittery.listenerRemoved, ({listener, eventName}) => {
    console.log(listener);
    //=> data => {}

    console.log(eventName);
    //=> '🦄'
});

off();

Inherited from​

Emittery.listenerRemoved

debug​

• debug: DebugOptions<EventDataMap>

Debugging options for the current instance.

Inherited from​

Emittery.debug

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/BackgroundTransformerType/index.html b/docs/docs/next/api/enums/BackgroundTransformerType/index.html new file mode 100644 index 0000000..eb5f3a4 --- /dev/null +++ b/docs/docs/next/api/enums/BackgroundTransformerType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: BackgroundTransformerType | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: BackgroundTransformerType

Type of transformer to instantiate

Enumeration Members​

BackgroundBlur​

• BackgroundBlur = "BackgroundBlur"

Background blur

VirtualBackground​

• VirtualBackground = "VirtualBackground"

Background replace with an image

VideoBackground​

• VideoBackground = "VideoBackground"

Background replace with an video

SilhouetteBlur​

• SilhouetteBlur = "SilhouetteBlur"

Silhouette blur

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/BlurRadius/index.html b/docs/docs/next/api/enums/BlurRadius/index.html new file mode 100644 index 0000000..ba76329 --- /dev/null +++ b/docs/docs/next/api/enums/BlurRadius/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: BlurRadius | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: BlurRadius

BlurRadius specifies how much bluring filter to apply by a given transformer.

Enumeration Members​

Low​

• Low = "Low"

Low bluring filtering (5px).

High​

• High = "High"

High bluring filtering (10px).

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/ErrorFunction/index.html b/docs/docs/next/api/enums/ErrorFunction/index.html new file mode 100644 index 0000000..901730c --- /dev/null +++ b/docs/docs/next/api/enums/ErrorFunction/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: ErrorFunction | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: ErrorFunction

ErrorFunction. It specifies the transformer function in which the error occurred.

Enumeration Members​

start​

• start = "start"

start function exception.

transform​

• transform = "transform"

transform function exception.

flush​

• flush = "flush"

flush function exception.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/PipelineInfoData/index.html b/docs/docs/next/api/enums/PipelineInfoData/index.html new file mode 100644 index 0000000..60f6257 --- /dev/null +++ b/docs/docs/next/api/enums/PipelineInfoData/index.html @@ -0,0 +1,20 @@ + + + + + +Enumeration: PipelineInfoData | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: PipelineInfoData

PipelineInfolData. Life cycle information of insertable streams pipeline.

Enumeration Members​

pipeline_ended​

• pipeline_ended = "pipeline_ended"

Notify the app that the pipeline has ended.

pipeline_ended_with_error​

• pipeline_ended_with_error = "pipeline_ended_with_error"

Notify the app that the pipeline has ended with an error.

pipeline_started​

• pipeline_started = "pipeline_started"

Notify the app that the pipeline has started.

pipeline_started_with_error​

• pipeline_started_with_error = "pipeline_started_with_error"

Notify the app that the pipeline has started with an error.

pipeline_restarted​

• pipeline_restarted = "pipeline_restarted"

Notify the app that the pipeline has restarted. +This message is fired after changing track in the middle of the process. +For example switching camera source.

pipeline_restarted_with_error​

• pipeline_restarted_with_error = "pipeline_restarted_with_error"

Notify the app that the pipeline has restarted with an error. +This message is fired after changing track in the middle of the process. +For example switching camera source.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/RenderingType/index.html b/docs/docs/next/api/enums/RenderingType/index.html new file mode 100644 index 0000000..9d0e055 --- /dev/null +++ b/docs/docs/next/api/enums/RenderingType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: RenderingType | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: RenderingType

Enumeration Members​

CANVAS​

• CANVAS = "CANVAS"

WEBGL​

• WEBGL = "WEBGL"

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/WarningType/index.html b/docs/docs/next/api/enums/WarningType/index.html new file mode 100644 index 0000000..2d2e8d9 --- /dev/null +++ b/docs/docs/next/api/enums/WarningType/index.html @@ -0,0 +1,16 @@ + + + + + +Enumeration: WarningType | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: WarningType

WarningType specifies the type of warning from the transformer

Enumeration Members​

FPS_DROP​

• FPS_DROP = "fps_drop"

Warning about change in process rate

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/enums/WebglSelfieSegmentationType/index.html b/docs/docs/next/api/enums/WebglSelfieSegmentationType/index.html new file mode 100644 index 0000000..13c2950 --- /dev/null +++ b/docs/docs/next/api/enums/WebglSelfieSegmentationType/index.html @@ -0,0 +1,18 @@ + + + + + +Enumeration: WebglSelfieSegmentationType | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Enumeration: WebglSelfieSegmentationType

Selfie segmentation algorithm type +Fast can flickering but has low impact on performance +Precise avoid glitches and flickering, but is most costly.

More explanations could be find here: https://vonage.github.io/ml-transformers-docs/docs/post-processing

Enumeration Members​

FAST​

• FAST = "FAST"

No selfie segmentation post-processing. It might produce flickering and has low impact on performance.

PRECISE​

• PRECISE = "PRECISE"

Enable selfie segmentation post-processing. It reduces flickering and glitches, however it might have some impact on performance.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/index.html b/docs/docs/next/api/index.html new file mode 100644 index 0000000..36e2633 --- /dev/null +++ b/docs/docs/next/api/index.html @@ -0,0 +1,36 @@ + + + + + +@vonage/ml-transformers | Vonage ML Transformers Documentation + + + + +
+
Version: Next

@vonage/ml-transformers

Classes​

Enumerations​

Interfaces​

Functions​

getVonageSelfieSegmentation​

▸ getVonageSelfieSegmentation(): VonageSelfieSegmentation

MediaPipe Selfie Segmentation static metadata.

Returns​

VonageSelfieSegmentation

An object containing MediaPipe Selfie Segmentation metadata:

  • VERSION

getVonageHands​

▸ getVonageHands(): VonageHands

Vonage Mediapipe objects info (it will be used by the @mediapipe/drawing_utils package which is not included by this library).

Returns​

VonageHands

getVonageHolistic​

▸ getVonageHolistic(): VonageHolistic

MediaPipe Holistic static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageHolistic

An object containing MediaPipe Holistic metadata:

  • VERSION
  • FACE_GEOMETRY
  • FACEMESH_LIPS
  • FACEMESH_LEFT_EYE
  • FACEMESH_LEFT_EYEBROW
  • FACEMESH_LEFT_IRIS
  • FACEMESH_RIGHT_EYE
  • FACEMESH_RIGHT_EYEBROW
  • FACEMESH_RIGHT_IRIS
  • FACEMESH_FACE_OVAL
  • FACEMESH_CONTOURS
  • FACEMESH_TESSELATION
  • HAND_CONNECTIONS
  • POSE_CONNECTIONS
  • POSE_LANDMARKS
  • POSE_LANDMARKS_LEFT
  • POSE_LANDMARKS_RIGHT
  • POSE_LANDMARKS_NEUTRAL

getVonageFaceDetection​

▸ getVonageFaceDetection(): VonageFaceDetection

MediaPipe Face Detection static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageFaceDetection

An object containing MediaPipe Face Detection metadata:

  • VERSION
  • FACEDETECTION_LIPS
  • FACEDETECTION_LEFT_EYE
  • FACEDETECTION_LEFT_EYEBROW
  • FACEDETECTION_RIGHT_EYE
  • FACEDETECTION_RIGHT_EYEBROW
  • FACEDETECTION_FACE_OVAL
  • FACEDETECTION_CONTOURS
  • FACEDETECTION_TESSELATION

getVonageFaceMash​

▸ getVonageFaceMash(): VonageFaceMash

MediaPipe Face Mash static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageFaceMash

An object containing MediaPipe Face Mash metadata:

  • VERSION
  • FACE_GEOMETRY
  • FACEMESH_LIPS
  • FACEMESH_LEFT_EYE
  • FACEMESH_LEFT_EYEBROW
  • FACEMESH_LEFT_IRIS
  • FACEMESH_RIGHT_EYE
  • FACEMESH_RIGHT_EYEBROW
  • FACEMESH_RIGHT_IRIS
  • FACEMESH_FACE_OVAL
  • FACEMESH_CONTOURS
  • FACEMESH_TESSELATION

getVonageObjectron​

▸ getVonageObjectron(): VonageObjectron

MediaPipe Objectron static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonageObjectron

An object containing MediaPipe Objectron metadata:

  • VERSION
  • VERSION
  • BOX_CONNECTIONS
  • BOX_KEYPOINTS

getVonagePose​

▸ getVonagePose(): VonagePose

MediaPipe Pose static metadata. +This metadata is needed while using MediaPipe. +drawing utils. +And control utils.

Returns​

VonagePose

An object containing MediaPipe Pose metadata:

  • VERSION
  • POSE_CONNECTIONS
  • POSE_LANDMARKS
  • POSE_LANDMARKS_LEFT
  • POSE_LANDMARKS_RIGHT
  • POSE_LANDMARKS_NEUTRAL

createVonageMediaProcessor​

▸ createVonageMediaProcessor(config): Promise<VonageMediaProcessor>

builder function to create MediaProcessor

Parameters​

NameTypeDescription
configBackgroundOptionssee MediaProcessorConfig definition

Returns​

Promise<VonageMediaProcessor>

  • MediaProcessor provide interface to configure ml-transformer or retrieving connector

isSupported​

▸ isSupported(): Promise<void>

Check if the current browser is officially supported by the library.

Returns​

Promise<void>

The promise will resolve or reject depending whether the browser is supported or not.

getSupportedBrowserFeatures​

▸ getSupportedBrowserFeatures(): Promise<SupportedBrowserFeatures>

Detect which features is available in the browser.

Returns​

Promise<SupportedBrowserFeatures>

Supported features by the browser

Type Aliases​

MediaProcessorConfig​

Ƭ MediaProcessorConfig: BackgroundOptions

MediaProcessorConfig specifies the transformer logic to be performed.

RenderingOptions​

Ƭ RenderingOptions: Canvas2dOptions | WebglOptions

BackgroundOptions​

Ƭ BackgroundOptions: BackgroundBlurConfig | VirtualBackgroundConfig | VideoBackgroundConfig | SilhouetteBlurConfig

BackgroundOptions background options

MediaPipeResults​

Ƭ MediaPipeResults: FaceDetectionResults | FaceMeshResults | HandsResults | HolisticResults | ObjectronResults | SelfieSegmentationResults | PoseResults

MediaPipeResults types of results object of MediaPipe

MediaPipeResultsListener​

Ƭ MediaPipeResultsListener: <T>(results: T) => Promise<void> | void

Type declaration​

▸ <T>(results): Promise<void> | void

ResultsListener callback function from MediaPipe process

Results

  • The results object from MediaPipe
Type parameters​
NameType
Textends MediaPipeResults
Parameters​
NameType
resultsT
Returns​

Promise<void> | void

  • can return a promise of void

MediaPipeModelType​

Ƭ MediaPipeModelType: "face_mesh" | "face_detection" | "hands" | "holistic" | "objectron" | "selfie_segmentation" | "pose"

MediaPipeModelType supported models types

MediaPipeModelConfig​

Ƭ MediaPipeModelConfig: Object

defines one mediapipe model config

Model Type

  • which model is required

Listener

  • callback function from the model

Options

Assets Uri

(optional) - can be set to get wasm/tflite/js/binarypb assets. Vonage provides static assets. + WARNING - using this option moves the responsibility of the assets and the versioning to the user. +please keep in mind that the assets list can change between versions! +assets are different between mediapipe models.

Type declaration​

NameType
modelTypeMediaPipeModelType
listenerMediaPipeResultsListener
optionsFaceDetectionOptions | FaceMeshOptions | HandsOptions | HolisticOptions | ObjectronOptions | SelfieSegmentationOptions | PoseOptions
assetsUri?string

MediapipeConfig​

Ƭ MediapipeConfig: Object

MediapipeConfig specified config of mediapipe helper: +this structure allows the user to create few mediapipe models that will run in parallel.

Model Types Array

  • array of mediapipe models to be loaded and called.

Type declaration​

NameType
mediaPipeModelConfigArrayMediaPipeModelConfig[]

EventMetaData​

Ƭ EventMetaData: Object

EventMetaData. Some metadata of the event.

Type declaration​

NameTypeDescription
transformerIndexnumberThe transformer index in the array of transformers.

DropInfo​

Ƭ DropInfo: Object

DropInfo gives info about the frame rate of the transformer

Type declaration​

NameTypeDescription
requestednumberThe rate predicted rate of the track
currentnumberThe actual rate of the track

WarnData​

Ƭ WarnData: Object

WarnData - MediaProcessor warning event defintion

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMeta data of the event
warningTypeWarningTypeThe waring type
dropInfo?DropInfoOptional - FPS drop info.

ErrorData​

Ƭ ErrorData: Object

ErrorData. MediaProcessor error data definition.

Type declaration​

NameTypeDescription
eventMetaDataEventMetaDataMetadata of the event.
functionErrorFunctionThe function in which the error occurred.
errorunknownType of unknown but moslty will be string

EventDataMap​

Ƭ EventDataMap: Object

EventDataMap. A map type for all event options from MediaProcessor. +Each event will include only one type.

Type declaration​

NameTypeDescription
warnWarnDataWarnings from the insertable streams pipeline.
errorErrorDataErrors from the insertable streams pipeline.
pipelineInfoPipelineInfoDataInfo from the insertable streams pipeline life cycle.
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/AssetBackgroundConfig/index.html b/docs/docs/next/api/interfaces/AssetBackgroundConfig/index.html new file mode 100644 index 0000000..97f910e --- /dev/null +++ b/docs/docs/next/api/interfaces/AssetBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: AssetBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: AssetBackgroundConfig

AssetBackgroundConfig specifies the absolute URL to the image or video file used for background replacement.

Hierarchy​

Properties​

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/BackgroundBlurConfig/index.html b/docs/docs/next/api/interfaces/BackgroundBlurConfig/index.html new file mode 100644 index 0000000..0dc0e7d --- /dev/null +++ b/docs/docs/next/api/interfaces/BackgroundBlurConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: BackgroundBlurConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: BackgroundBlurConfig

BackgroundBlurConfig specifies the configuration for a transformer logic that performs background blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: BackgroundBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/FaceDetectionOptions/index.html b/docs/docs/next/api/interfaces/FaceDetectionOptions/index.html new file mode 100644 index 0000000..0ba759a --- /dev/null +++ b/docs/docs/next/api/interfaces/FaceDetectionOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceDetectionOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: FaceDetectionOptions

Configurable options for FaceDetection.

Properties​

selfieMode​

• Optional selfieMode: boolean

model​

• Optional model: string

minDetectionConfidence​

• Optional minDetectionConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/FaceDetectionResults/index.html b/docs/docs/next/api/interfaces/FaceDetectionResults/index.html new file mode 100644 index 0000000..408681d --- /dev/null +++ b/docs/docs/next/api/interfaces/FaceDetectionResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceDetectionResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: FaceDetectionResults

Possible results from FaceDetection.

Properties​

detections​

• detections: DetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/FaceMeshOptions/index.html b/docs/docs/next/api/interfaces/FaceMeshOptions/index.html new file mode 100644 index 0000000..e8125e1 --- /dev/null +++ b/docs/docs/next/api/interfaces/FaceMeshOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceMeshOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: FaceMeshOptions

Configurable options for FaceMesh.

Properties​

cameraNear​

• Optional cameraNear: number

cameraFar​

• Optional cameraFar: number

cameraVerticalFovDegrees​

• Optional cameraVerticalFovDegrees: number

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

maxNumFaces​

• Optional maxNumFaces: number

refineLandmarks​

• Optional refineLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/FaceMeshResults/index.html b/docs/docs/next/api/interfaces/FaceMeshResults/index.html new file mode 100644 index 0000000..568fb32 --- /dev/null +++ b/docs/docs/next/api/interfaces/FaceMeshResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FaceMeshResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: FaceMeshResults

Possible results from FaceMesh.

Properties​

multiFaceLandmarks​

• multiFaceLandmarks: NormalizedLandmarkListList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/FeatureSupport/index.html b/docs/docs/next/api/interfaces/FeatureSupport/index.html new file mode 100644 index 0000000..26b3248 --- /dev/null +++ b/docs/docs/next/api/interfaces/FeatureSupport/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: FeatureSupport | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: FeatureSupport

Feature support detail

Properties​

supported​

• supported: boolean

Is the feature supported

message​

• Optional message: string

Readable message explaining the feature is not supported

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/HandsOptions/index.html b/docs/docs/next/api/interfaces/HandsOptions/index.html new file mode 100644 index 0000000..0a0567c --- /dev/null +++ b/docs/docs/next/api/interfaces/HandsOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HandsOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: HandsOptions

Configurable options for Hands.

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumHands​

• Optional maxNumHands: number

modelComplexity​

• Optional modelComplexity: 0 | 1

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/HandsResults/index.html b/docs/docs/next/api/interfaces/HandsResults/index.html new file mode 100644 index 0000000..4d28d62 --- /dev/null +++ b/docs/docs/next/api/interfaces/HandsResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HandsResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: HandsResults

Possible results from Hands.

Properties​

multiHandLandmarks​

• multiHandLandmarks: NormalizedLandmarkListList

multiHandWorldLandmarks​

• multiHandWorldLandmarks: LandmarkListList

multiHandedness​

• multiHandedness: Handedness[]

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/HolisticOptions/index.html b/docs/docs/next/api/interfaces/HolisticOptions/index.html new file mode 100644 index 0000000..3de59bb --- /dev/null +++ b/docs/docs/next/api/interfaces/HolisticOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HolisticOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: HolisticOptions

Configurable options for Holistic.

Properties​

enableFaceGeometry​

• Optional enableFaceGeometry: boolean

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

refineFaceLandmarks​

• Optional refineFaceLandmarks: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/HolisticResults/index.html b/docs/docs/next/api/interfaces/HolisticResults/index.html new file mode 100644 index 0000000..ee41e0e --- /dev/null +++ b/docs/docs/next/api/interfaces/HolisticResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: HolisticResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: HolisticResults

Possible results from Holistic.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

faceLandmarks​

• faceLandmarks: NormalizedLandmarkList

multiFaceGeometry​

• multiFaceGeometry: FaceGeometry[]

rightHandLandmarks​

• rightHandLandmarks: NormalizedLandmarkList

leftHandLandmarks​

• leftHandLandmarks: NormalizedLandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/MediaProcessorBaseConfig/index.html b/docs/docs/next/api/interfaces/MediaProcessorBaseConfig/index.html new file mode 100644 index 0000000..a4ad800 --- /dev/null +++ b/docs/docs/next/api/interfaces/MediaProcessorBaseConfig/index.html @@ -0,0 +1,29 @@ + + + + + +Interface: MediaProcessorBaseConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: MediaProcessorBaseConfig

MediaProcessorBaseConfig specifies the absolute URL for the path where the mediapipe assets used by the transformers from this library are stored. +Vonage hosts static assets of mediapipe that will be used in case this property is not set. +Vonage promises to take care of maintaining all versioning. +WARNING. By using this option the developer takes responsibility of the assets and their versioning. +mediapipe selfie segmintaion got those assets: +selfie_segmentation_landscape.tflite +selfie_segmentation_solution_simd_wasm_bin.js +selfie_segmentation_solution_simd_wasm_bin.wasm +selfie_segmentation_solution_wasm_bin.js +selfie_segmentation_solution_wasm_bin.wasm +selfie_segmentation.binarypb +selfie_segmentation.tflite +Please keep in mind that the assets list can change between versions. +All assets can be taken from node_modules/@mediapipe/selfie_segmentation

Hierarchy​

Properties​

transformerType​

• transformerType: BackgroundTransformerType

Type of transformer

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

renderingOptions​

• Optional renderingOptions: RenderingOptions

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/ObjectronOptions/index.html b/docs/docs/next/api/interfaces/ObjectronOptions/index.html new file mode 100644 index 0000000..0d22233 --- /dev/null +++ b/docs/docs/next/api/interfaces/ObjectronOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: ObjectronOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: ObjectronOptions

Configurable options for Objectron. (Not yet hooked up!)

Properties​

selfieMode​

• Optional selfieMode: boolean

maxNumObjects​

• Optional maxNumObjects: number

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

staticImageMode​

• Optional staticImageMode: boolean

modelName​

• Optional modelName: KnownModel

focalLength​

• Optional focalLength: number[]

principalPoint​

• Optional principalPoint: number[]

imageSize​

• Optional imageSize: number[]

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/ObjectronResults/index.html b/docs/docs/next/api/interfaces/ObjectronResults/index.html new file mode 100644 index 0000000..93b9ce5 --- /dev/null +++ b/docs/docs/next/api/interfaces/ObjectronResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: ObjectronResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: ObjectronResults

Possible results from Objectron.

Properties​

objectDetections​

• objectDetections: ObjectDetectionList

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/PoseOptions/index.html b/docs/docs/next/api/interfaces/PoseOptions/index.html new file mode 100644 index 0000000..eb967a0 --- /dev/null +++ b/docs/docs/next/api/interfaces/PoseOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: PoseOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: PoseOptions

Configurable options for Pose.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelComplexity​

• Optional modelComplexity: 0 | 2 | 1

smoothLandmarks​

• Optional smoothLandmarks: boolean

enableSegmentation​

• Optional enableSegmentation: boolean

smoothSegmentation​

• Optional smoothSegmentation: boolean

minDetectionConfidence​

• Optional minDetectionConfidence: number

minTrackingConfidence​

• Optional minTrackingConfidence: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/PoseResults/index.html b/docs/docs/next/api/interfaces/PoseResults/index.html new file mode 100644 index 0000000..43020df --- /dev/null +++ b/docs/docs/next/api/interfaces/PoseResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: PoseResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: PoseResults

Possible results from Pose.

Properties​

poseLandmarks​

• poseLandmarks: NormalizedLandmarkList

poseWorldLandmarks​

• poseWorldLandmarks: LandmarkList

segmentationMask​

• segmentationMask: GpuBuffer

image​

• image: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/SelfieSegmentationOptions/index.html b/docs/docs/next/api/interfaces/SelfieSegmentationOptions/index.html new file mode 100644 index 0000000..3b5ea4a --- /dev/null +++ b/docs/docs/next/api/interfaces/SelfieSegmentationOptions/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SelfieSegmentationOptions | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: SelfieSegmentationOptions

Configurable options for SelfieSegmentation.

Properties​

selfieMode​

• Optional selfieMode: boolean

modelSelection​

• Optional modelSelection: number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/SelfieSegmentationResults/index.html b/docs/docs/next/api/interfaces/SelfieSegmentationResults/index.html new file mode 100644 index 0000000..06277e7 --- /dev/null +++ b/docs/docs/next/api/interfaces/SelfieSegmentationResults/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SelfieSegmentationResults | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: SelfieSegmentationResults

Possible results from SelfieSegmentation.

Properties​

image​

• image: GpuBuffer

segmentationMask​

• segmentationMask: GpuBuffer

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/SilhouetteBlurConfig/index.html b/docs/docs/next/api/interfaces/SilhouetteBlurConfig/index.html new file mode 100644 index 0000000..f33670d --- /dev/null +++ b/docs/docs/next/api/interfaces/SilhouetteBlurConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: SilhouetteBlurConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: SilhouetteBlurConfig

SilhouetteBlurConfig specifies the configuration for a transformer logic that performs siluete blurring.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

transformerType​

• transformerType: SilhouetteBlur

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

radius​

• Optional radius: number | BlurRadius

Blur strength, in px if provided as number

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/SupportedBrowserFeatures/index.html b/docs/docs/next/api/interfaces/SupportedBrowserFeatures/index.html new file mode 100644 index 0000000..feb8667 --- /dev/null +++ b/docs/docs/next/api/interfaces/SupportedBrowserFeatures/index.html @@ -0,0 +1,17 @@ + + + + + +Interface: SupportedBrowserFeatures | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: SupportedBrowserFeatures

Features supported by the browser

Properties​

wasm​

• wasm: FeatureSupport

Web assembly support, required to use ml-transformer

simd​

• simd: FeatureSupport

Simd support, required to use ml-transformer

insertableStreams​

• insertableStreams: FeatureSupport

Insertable stream support, required to use ml-transformer

gpu​

• gpu: FeatureSupport

GPU processing support, optional

webgl​

• webgl: FeatureSupport

Webgl context support, required

performance​

• performance: FeatureSupport

Hardware support (whether the hardware underneath is powerful enough to run the library efficiently), optional. +If this flag is false, the cpu/gpu could end up overloaded producing lag/glitches.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/VideoBackgroundConfig/index.html b/docs/docs/next/api/interfaces/VideoBackgroundConfig/index.html new file mode 100644 index 0000000..6aa2c5d --- /dev/null +++ b/docs/docs/next/api/interfaces/VideoBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: VideoBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: VideoBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given video.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VideoBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/api/interfaces/VirtualBackgroundConfig/index.html b/docs/docs/next/api/interfaces/VirtualBackgroundConfig/index.html new file mode 100644 index 0000000..ad0671d --- /dev/null +++ b/docs/docs/next/api/interfaces/VirtualBackgroundConfig/index.html @@ -0,0 +1,16 @@ + + + + + +Interface: VirtualBackgroundConfig | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Interface: VirtualBackgroundConfig

VirtualBackgroundConfig specifies the configuration for a transformer logic that performs background replacement with a given image.

Hierarchy​

Properties​

mediapipeBaseAssetsUri​

• Optional mediapipeBaseAssetsUri: string

A uri path to mediapipe assets.

Inherited from​

MediaProcessorBaseConfig.mediapipeBaseAssetsUri

modelAssetUriPath​

• Optional modelAssetUriPath: string

A uri path to tflite model.

Inherited from​

MediaProcessorBaseConfig.modelAssetUriPath

renderingOptions​

• Optional renderingOptions: RenderingOptions

Inherited from​

MediaProcessorBaseConfig.renderingOptions

backgroundAssetUri​

• backgroundAssetUri: string

URI for image or video asset.

Inherited from​

AssetBackgroundConfig.backgroundAssetUri

transformerType​

• transformerType: VirtualBackground

Type of post process.

Overrides​

MediaProcessorBaseConfig.transformerType

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/intro/index.html b/docs/docs/next/intro/index.html new file mode 100644 index 0000000..b4d0cd8 --- /dev/null +++ b/docs/docs/next/intro/index.html @@ -0,0 +1,21 @@ + + + + + +Vonage ML Transformers | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Vonage ML Transformers

Vonage ML transformers is a library that implements machine learning algorithms for the web. This library is based on @vonage/media-processor, MediaPipe and TFLite

@vonage/media-processor​

Media Processor library is Vonage implementation for insertable streams for supported browsers. Documentation can be found here.

MediaPipe​

MediaPipe library is an open source library under MIT license, this library use for video enhancements. +For our solution of background blur/replacement we use the Selfie Segmentation solution of MediaPipe. +The library adds the support for all MediaPipe JS solutions. This helps developers create cool things with any MediaPipe JS module.

For example:

  • Funny hats
  • Dynamic zoom
  • Eyes glaze
  • Hands detection
  • And much more...

Sample applications​

Sample applications can be found here.

Background visual effects (out-of-the-box solution)​

This sample uses the Vonage Video web SDK (OpenTok). OT.Publisher API (setVideoMediaProcessorConnector) to use the Vonage Media Processor Library in a Vonage Video (OpenTok) web application.

Implementation details:​

  • Uses the MediaPipe Selfie Segmentation solution.
  • The process runs in a web worker.
  • MediaPipe solutions are based on WebGL and wasm (SIMD).
  • The solution does not come with MediaPipe binaries bundled. We added static assets under AWS Cloud Front CDN. Here are white-listed IPs for cloud front.
  • MediaProcessorConfig allows you to define mediapipeBaseAssetsUri which allows the user to self-host MediaPipe assets. However, we do NOT recommend this.

Configure​

Configure post process action.

Blur:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', //This is optional, the library by default provides static assets.
    transformerType: 'BackgroundBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Silhouette:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'SilhouetteBlur',
    radius: BlurRadius.Low | BlurRadius.High | number //Low=5px High=10px number=(number)px
}

Virtual (image):​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VirtualBackground',
    backgroundAssetUri: 'https://some-url-to-image.com'
}

Video:​

let config: MediaProcessorConfig
config = {
    mediapipeBaseAssetsUri: 'https://example.com', // mediapipeBaseAssetsUri is optional Vonage provide static assets for it
    transformerType: 'VideoBackground',
    backgroundAssetUri: 'https://some-url-to-video.com'
}

Create Media Processor​

After configuring which post process is needed, use the helper function to create it VonageMediaProcessor

const processor = await createVonageMediaProcessor(config);
publisher.setVideoMediaProcessorConnector(processor.getConnector());

Change configuration​

To change the post process config in-flight, you can call this method without involving the publisher setBackgroundOptions

await processor.setBackgroundOptions(newConfig);

Disable/enable processing​

You can disable the postprocessing using enable/disable functions.

const processor = await createVonageMediaProcessor(config);
processor.disable();
processor.enable();

Errors, Warnings and Statistics​

isSupported​

Checks if the current browser can run our library.

try {
    await  isSupported();
} catch(e) {
    console.error(e);
}

Emitter Registration​

This solution supports Emittery +You can listen event directly on VonageMediaProcessor

processor.on('error', ((eventData: ErrorData) => {
    console.error(eventData);
}))
processor.on('warn', ((eventData: WarnData) => {
    console.warn(eventData);
}))
processor.on('pipelineInfo', ( (eventData: PipelineInfoData) => {
    console.info(eventData)
}))

Frame Drop warning​

If you like to be notified about frame rate drop use setTrackExpectedRate(number) for the expected rate of the process.

processor.setTrackExpectedRate(30)//or any other value.

Statistics​

The API collect statistics for usage and debugging purposes. However, it is up to the user to activate it.

Turn statistics on:​
const  metadata: VonageMetadata = {
    appId:  'video SDK app id',
    sourceType:  'video',
    proxyUrl: 'https://some-proxy.com' //optional
};
setVonageMetadata(metadata)
Turn statistics off: (by default the statistics are off)​
setVonageMetadata(null)

That's all you need to do in order to use our out-of-the-box background solution

MediaPipe Helper​

The library provide helper class for all MediaPipe JS solutions.

  • Face Mesh
  • Face Detection
  • Hands
  • Holistic
  • Objectron
  • Pose
  • Selfie Segmentation

Configure MediaPipe solution​

Each configuration is up to the user.

Face Mesh:​

let  option: FaceMeshOptions = {
...
}

Face Detection:​

let  option: FaceDetectionOptions = {
...
}

Hands:​

let  option: HandsOptions = {
...
}

Holistic:​

let  option: HolisticOptions = {
...
}

Objectron:​

let  option: ObjectronOptions = {
...
}

Pose:​

let  option: PoseOptions = {
...
}

Selfie Segmentation:​

let  option: SelfieSegmentationOptions = {
...
}

MediaPipe Helper​

MediapipeHelper - Helper class that initiate and run MediaPipe modules. +This class must be initialized on the application main thread

Create MediaPipe helper:​

In this example we will use face mash, but it is the same for all the other models.

mediaPipeListener(results: FaceMeshResults): void {
    //Do something with the results.
}
let mediapipeConfig: MediapipeConfig = {
    modelType: "face_mesh"
    listener: (results: FaceMeshResults): void => {
    },
    options: FaceMeshOptions,
    assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
}
let mediapipeHelper: MediapipeHelper = new MediapipeHelper()
mediapipeHelper.initialize(mediapipeConfig).then( () => {
}).catch( e => {
})

Using MediaPipe helper class:​

In this example we will demonstrate how to use the MediaPipe helper with a transformer running on the main application thread. +However, we have two sample apps that run the MediaPipe helper on the main application thread and, concurrently, the transformer in a Web worker thread.

  1. Auto zoom - Using face detection to create zoom on the main person. here.
  2. Custom MediaPipe: MediaPipe can run both on application main thread and Web worker thread here.

Create transformer:​

class  MedipipeTransformer  implements  Transformer {
    mediapipeHelper: MediapipeHelper
    results?: FaceMeshResults
    constructor(message: string) {
        this.mediapipeHelper = new MediapipeHelper()
    }
    
    init():Promise<void>{
        return  new  Promise<void>((resolve, reject) => {
            let mediapipeConfig: MediapipeConfig = {
                modelType: "face_mesh"
                listener: (results: FaceMeshResults): void => {
                    this.results = results
                },
                options: FaceMeshOptions,
                assetsUri: 'https://some-url-to-facemash-binaries.com' //Optional - Vonage provides static assets to all MediaPipe modules.
            }
            mediapipeHelper.initialize(mediapipeConfig).then( () => {
                resolve()
            }).catch( e => {
                reject(e)
            })
        })
    }
    
    //start function is optional.
    start(controller:TransformStreamDefaultController) {
        //In this sample nothing needs to be done.
    }
    
    //transform function is mandatory.
    transform(frame: VideoFrame, controller: TransformStreamDefaultController) {
        createImageBitmap(frame).then( image => {
            let timestamp = frame.timestamp
            frame.close()
            this.mediapipeHelper_.send(image).then( () => {
                if(this.results){
                    //Do something
                    controller.enqueue(/*new video frame*/, {timestamp})
                }
            }).catch( e => {
                console.error(e)
                controller.enqueue(frame)
            })
            this.processFrame(image, timestamp, controller)
        }).catch(e => {
            console.error(e)
            controller.enqueue(frame)
        })
    }
    
    //When using MediaPipe helper close function must be called to avoid memory leaks.
    flush(controller:TransformStreamDefaultController) {
        this.mediapipeHelper_.close().then( () => {
        }).catch( e => {
            console.error(e)
        })
    }
}
export  default  MedipipeTransformer;

Use the transformer:​

const mediapipeTransformer: MedipipeTransformer = new MedipipeTransformer()
mediapipeTransformer.init().then( () => {
    const mediaProcessor: MediaProcessor = new MediaProcessor()
    const transformers = [ mediapipeTransformer ]
    mediaProcessor.setTransformers(transformers)
    const connector: MediaProcessorConnector = new MediaProcessorConnector(mediaProcessor)
    ...
    publisher.setVideoMediaProcessorConnector(connector)
    ...
}).catch(e => {
})

License​

This project is licensed under the terms of the MIT license and is available for free.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/post-processing/index.html b/docs/docs/next/post-processing/index.html new file mode 100644 index 0000000..8e70fc1 --- /dev/null +++ b/docs/docs/next/post-processing/index.html @@ -0,0 +1,16 @@ + + + + + +Post-processing | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Post-processing

Real-time selfie segmentation can be susceptible to flickering, which occurs when the foreground subject appears to flicker or shift around in the video. This can be caused by variations in lighting, motion blur, or other factors that affect the image quality. Flickering can be distracting and can negatively impact the user experience, making it important to address.

Post-processing is a technique used to improve the quality of the selfie segmentation output and reduce the likelihood of flickering. Post-processing involves applying a series of image processing techniques to the output of the selfie segmentation algorithm.

Post-processing selfie segmentation can have an impact on the CPU, as it requires additional processing time and resources to apply the image processing techniques.

Enabling/Disabling the post-processing​

If you want to enable/disable explicitly the post-processing, you can use the selfieSegmentationType field of the renderingOptions.

As explained https://vonage.github.io/ml-transformers-docs/docs/renderers#post-processing, post-processing is only available for WebGL.

// Disable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.FAST
    }
});

// Enable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.PRECISE
    }
});

Default value​

When the post-processing option is not explicitly specified, it defaults to enabling post-processing only for the background image and background video.

Since blurred backgrounds typically have less contrast between the foreground subject and the background, any flickering or visual artifacts that do occur are less noticeable. As a result, there may be less of a need to apply post-processing techniques to the foreground subject.

Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/next/renderers/index.html b/docs/docs/next/renderers/index.html new file mode 100644 index 0000000..fa88c56 --- /dev/null +++ b/docs/docs/next/renderers/index.html @@ -0,0 +1,16 @@ + + + + + +Renderers | Vonage ML Transformers Documentation + + + + +
+
Version: Next

Renderers

When building a graphics rendering library, it's important to ensure that it can work on a wide variety of devices, including those with limited graphics capabilities. The two available types of renderers are Canvas 2D and WebGL.

Canvas 2D​

Canvas 2D is an API that offers a 2D drawing context for the HTML canvas element. It's simple to use and allows you to draw shapes, text, images, and other graphics directly onto a canvas. It has good performance for simple graphics operations.

WebGL​

WebGL, is a graphics API that grants access to the user's computer's graphics hardware, making it possible for developers to produce advanced 3D graphics and animations straight in the web browser. WebGL is built on top of OpenGL, a widely used graphics API in game development and other graphics-heavy applications. It provides high-performance graphics rendering.

Post-processing​

To reduce flickering in selfie segmentation, a post-processing operation can be applied using a temporal smoothing filter. However, this technique is only available with WebGL due to its access to previous frames rendered by the GPU. Ending in a difference between the Canvas2d and WebGL segmentation.

Hardware impact​

If the user's computer lacks a GPU, both Canvas 2D and WebGL will still work, but the performance and rendering quality may differ. Canvas 2D graphics rendering is handled by the CPU, so performance is reliant on the complexity of the graphics being produced and the user's CPU. On the other hand, WebGL graphics rendering is designed to take advantage of GPU acceleration, so the absence of a GPU will result in a significant decrease in performance, particularly for complex graphics operations.

Default renderer​

The failIfMajorPerformanceCaveat flag is an optional parameter that can be passed to the getContext() method when retrieving a canvas context. When set to true, the browser will fail to return a context that indicates limited or reduced capabilities. In this scenario, Canvas 2D is used by the library. Otherwise, good GPU performance can be expected, and WebGL will be chosen as the default renderer.

high perfomance GPUlow performance GPU
BlurwebGL FastCanvas 2D
Virtual BackgroundwebGL PreciseCanvas 2D

Selecting renderer​

If you want to select explicitly the renderer, you can use the renderingOptions field of the config.

// 
const canvas2dProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.CANVAS
    }
});
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL
    }
});
Vonage Client Media Processing Team
+ + + + \ No newline at end of file diff --git a/docs/docs/post-processing/index.html b/docs/docs/post-processing/index.html index fcb1eff..c94e0b4 100644 --- a/docs/docs/post-processing/index.html +++ b/docs/docs/post-processing/index.html @@ -1,16 +1,16 @@ - + -Post-processing | Vonage ML Transformers Documentation - - +Post-processing | Vonage ML Transformers Documentation + +
-

Post-processing

Real-time selfie segmentation can be susceptible to flickering, which occurs when the foreground subject appears to flicker or shift around in the video. This can be caused by variations in lighting, motion blur, or other factors that affect the image quality. Flickering can be distracting and can negatively impact the user experience, making it important to address.

Post-processing is a technique used to improve the quality of the selfie segmentation output and reduce the likelihood of flickering. Post-processing involves applying a series of image processing techniques to the output of the selfie segmentation algorithm.

Post-processing selfie segmentation can have an impact on the CPU, as it requires additional processing time and resources to apply the image processing techniques.

Enabling/Disabling the post-processing​

If you want to enable/disable explicitly the post-processing, you can use the selfieSegmentationType field of the renderingOptions.

As explained https://vonage.github.io/ml-transformers-docs/docs/renderers#post-processing, post-processing is only available for WebGL.

// Disable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.FAST
    }
});

// Enable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.PRECISE
    }
});

Default value​

When the post-processing option is not explicitly specified, it defaults to enabling post-processing only for the background image and background video.

Since blurred backgrounds typically have less contrast between the foreground subject and the background, any flickering or visual artifacts that do occur are less noticeable. As a result, there may be less of a need to apply post-processing techniques to the foreground subject.

Vonage Client Media Processing Team
- - +
Version: 6.0.0

Post-processing

Real-time selfie segmentation can be susceptible to flickering, which occurs when the foreground subject appears to flicker or shift around in the video. This can be caused by variations in lighting, motion blur, or other factors that affect the image quality. Flickering can be distracting and can negatively impact the user experience, making it important to address.

Post-processing is a technique used to improve the quality of the selfie segmentation output and reduce the likelihood of flickering. Post-processing involves applying a series of image processing techniques to the output of the selfie segmentation algorithm.

Post-processing selfie segmentation can have an impact on the CPU, as it requires additional processing time and resources to apply the image processing techniques.

Enabling/Disabling the post-processing​

If you want to enable/disable explicitly the post-processing, you can use the selfieSegmentationType field of the renderingOptions.

As explained https://vonage.github.io/ml-transformers-docs/docs/renderers#post-processing, post-processing is only available for WebGL.

// Disable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.FAST
    }
});

// Enable
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL,
        selfieSegmentationType: WebglSelfieSegmentationType.PRECISE
    }
});

Default value​

When the post-processing option is not explicitly specified, it defaults to enabling post-processing only for the background image and background video.

Since blurred backgrounds typically have less contrast between the foreground subject and the background, any flickering or visual artifacts that do occur are less noticeable. As a result, there may be less of a need to apply post-processing techniques to the foreground subject.

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/docs/renderers/index.html b/docs/docs/renderers/index.html index 0ea1890..fe20bb6 100644 --- a/docs/docs/renderers/index.html +++ b/docs/docs/renderers/index.html @@ -1,16 +1,16 @@ - + -Renderers | Vonage ML Transformers Documentation - - +Renderers | Vonage ML Transformers Documentation + +
-

Renderers

When building a graphics rendering library, it's important to ensure that it can work on a wide variety of devices, including those with limited graphics capabilities. The two available types of renderers are Canvas 2D and WebGL.

Canvas 2D​

Canvas 2D is an API that offers a 2D drawing context for the HTML canvas element. It's simple to use and allows you to draw shapes, text, images, and other graphics directly onto a canvas. It has good performance for simple graphics operations.

WebGL​

WebGL, is a graphics API that grants access to the user's computer's graphics hardware, making it possible for developers to produce advanced 3D graphics and animations straight in the web browser. WebGL is built on top of OpenGL, a widely used graphics API in game development and other graphics-heavy applications. It provides high-performance graphics rendering.

Post-processing​

To reduce flickering in selfie segmentation, a post-processing operation can be applied using a temporal smoothing filter. However, this technique is only available with WebGL due to its access to previous frames rendered by the GPU. Ending in a difference between the Canvas2d and WebGL segmentation.

Hardware impact​

If the user's computer lacks a GPU, both Canvas 2D and WebGL will still work, but the performance and rendering quality may differ. Canvas 2D graphics rendering is handled by the CPU, so performance is reliant on the complexity of the graphics being produced and the user's CPU. On the other hand, WebGL graphics rendering is designed to take advantage of GPU acceleration, so the absence of a GPU will result in a significant decrease in performance, particularly for complex graphics operations.

Default renderer​

The failIfMajorPerformanceCaveat flag is an optional parameter that can be passed to the getContext() method when retrieving a canvas context. When set to true, the browser will fail to return a context that indicates limited or reduced capabilities. In this scenario, Canvas 2D is used by the library. Otherwise, good GPU performance can be expected, and WebGL will be chosen as the default renderer.

high perfomance GPUlow performance GPU
BlurwebGL FastCanvas 2D
Virtual BackgroundwebGL PreciseCanvas 2D

Selecting renderer​

If you want to select explicitly the renderer, you can use the renderingOptions field of the config.

// 
const canvas2dProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.CANVAS
    }
});
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL
    }
});
Vonage Client Media Processing Team
- - +
Version: 6.0.0

Renderers

When building a graphics rendering library, it's important to ensure that it can work on a wide variety of devices, including those with limited graphics capabilities. The two available types of renderers are Canvas 2D and WebGL.

Canvas 2D​

Canvas 2D is an API that offers a 2D drawing context for the HTML canvas element. It's simple to use and allows you to draw shapes, text, images, and other graphics directly onto a canvas. It has good performance for simple graphics operations.

WebGL​

WebGL, is a graphics API that grants access to the user's computer's graphics hardware, making it possible for developers to produce advanced 3D graphics and animations straight in the web browser. WebGL is built on top of OpenGL, a widely used graphics API in game development and other graphics-heavy applications. It provides high-performance graphics rendering.

Post-processing​

To reduce flickering in selfie segmentation, a post-processing operation can be applied using a temporal smoothing filter. However, this technique is only available with WebGL due to its access to previous frames rendered by the GPU. Ending in a difference between the Canvas2d and WebGL segmentation.

Hardware impact​

If the user's computer lacks a GPU, both Canvas 2D and WebGL will still work, but the performance and rendering quality may differ. Canvas 2D graphics rendering is handled by the CPU, so performance is reliant on the complexity of the graphics being produced and the user's CPU. On the other hand, WebGL graphics rendering is designed to take advantage of GPU acceleration, so the absence of a GPU will result in a significant decrease in performance, particularly for complex graphics operations.

Default renderer​

The failIfMajorPerformanceCaveat flag is an optional parameter that can be passed to the getContext() method when retrieving a canvas context. When set to true, the browser will fail to return a context that indicates limited or reduced capabilities. In this scenario, Canvas 2D is used by the library. Otherwise, good GPU performance can be expected, and WebGL will be chosen as the default renderer.

high perfomance GPUlow performance GPU
BlurwebGL FastCanvas 2D
Virtual BackgroundwebGL PreciseCanvas 2D

Selecting renderer​

If you want to select explicitly the renderer, you can use the renderingOptions field of the config.

// 
const canvas2dProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.CANVAS
    }
});
const webglProcessor = await createVonageMediaProcessor({
    transformerType: 'BackgroundBlur',
    renderingOptions: { 
        type: RenderingType.WEBGL
    }
});
Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/index.html b/docs/index.html index 14dff58..d96b85f 100644 --- a/docs/index.html +++ b/docs/index.html @@ -4,13 +4,13 @@ Vonage ML Transformers Documentation | Vonage ML Transformers Documentation - - + +
-

Vonage ML Transformers Documentation

Visit Documentation
See changelog

Insertable Streams

Vonage Insertable Streams API.

MediaPipe

MediaPipe JS modles.

Tensorflow Lite

ML processing.

Vonage Client Media Processing Team
- - +

Vonage ML Transformers Documentation

Visit Documentation
See changelog

Insertable Streams

Vonage Insertable Streams API.

MediaPipe

MediaPipe JS modles.

Tensorflow Lite

ML processing.

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/markdown-page/index.html b/docs/markdown-page/index.html index 760858c..12a1f77 100644 --- a/docs/markdown-page/index.html +++ b/docs/markdown-page/index.html @@ -4,13 +4,13 @@ Markdown page example | Vonage ML Transformers Documentation - - + +
-

Markdown page example

You don't need React to write simple standalone pages.

Vonage Client Media Processing Team
- - +

Markdown page example

You don't need React to write simple standalone pages.

Vonage Client Media Processing Team
+ + \ No newline at end of file diff --git a/docs/sitemap.xml b/docs/sitemap.xml index a70ff0f..e7b8bf5 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -1 +1 @@ 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\ No newline at end of file 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