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human
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human/dist/human.node.js

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/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
var __create=Object.create,__defProp=Object.defineProperty,__getProtoOf=Object.getPrototypeOf,__hasOwnProp=Object.prototype.hasOwnProperty,__getOwnPropNames=Object.getOwnPropertyNames,__getOwnPropDesc=Object.getOwnPropertyDescriptor,__markAsModule=target=>__defProp(target,"__esModule",{value:!0}),__commonJS=(callback,module2)=>()=>(module2||(module2={exports:{}},callback(module2.exports,module2)),module2.exports),__export=(target,all)=>{__markAsModule(target);for(var name in all)__defProp(target,name,{get:all[name],enumerable:!0})},__exportStar=(target,module2,desc)=>{if(__markAsModule(target),module2&&typeof module2=="object"||typeof module2=="function")for(let key of __getOwnPropNames(module2))!__hasOwnProp.call(target,key)&&key!=="default"&&__defProp(target,key,{get:()=>module2[key],enumerable:!(desc=__getOwnPropDesc(module2,key))||desc.enumerable});return target},__toModule=module2=>module2&&module2.__esModule?module2:__exportStar(__defProp(module2!=null?__create(__getProtoOf(module2)):{},"default",{value:module2,enumerable:!0}),module2),require_tfjs_esm=__commonJS(exports2=>{var __create2=Object.create,__defProp2=Object.defineProperty,__getProtoOf2=Object.getPrototypeOf,__hasOwnProp2=Object.prototype.hasOwnProperty,__getOwnPropNames2=Object.getOwnPropertyNames,__getOwnPropDesc2=Object.getOwnPropertyDescriptor,__markAsModule2=target=>__defProp2(target,"__esModule",{value:!0}),__exportStar2=(target,module22,desc)=>{if(__markAsModule2(target),module22&&typeof module22=="object"||typeof module22=="function")for(let key of __getOwnPropNames2(module22))!__hasOwnProp2.call(target,key)&&key!=="default"&&__defProp2(target,key,{get:()=>module22[key],enumerable:!(desc=__getOwnPropDesc2(module22,key))||desc.enumerable});return target},__toModule2=module22=>module22&&module22.__esModule?module22:__exportStar2(__defProp2(module22!=null?__create2(__getProtoOf2(module22)):{},"default",{value:module22,enumerable:!0}),module22);__exportStar2(exports2,__toModule2(require("@tensorflow/tfjs-node")))}),require_blazeface=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),NUM_LANDMARKS=6;function generateAnchors(inputSize){let spec={strides:[inputSize/16,inputSize/8],anchors:[2,6]},anchors=[];for(let i=0;i<spec.strides.length;i++){let stride=spec.strides[i],gridRows=Math.floor((inputSize+stride-1)/stride),gridCols=Math.floor((inputSize+stride-1)/stride),anchorsNum=spec.anchors[i];for(let gridY=0;gridY<gridRows;gridY++){let anchorY=stride*(gridY+.5);for(let gridX=0;gridX<gridCols;gridX++){let anchorX=stride*(gridX+.5);for(let n=0;n<anchorsNum;n++)anchors.push([anchorX,anchorY])}}}return anchors}var disposeBox=box=>{box.startEndTensor.dispose(),box.startPoint.dispose(),box.endPoint.dispose()},createBox=startEndTensor=>({startEndTensor,startPoint:tf4.slice(startEndTensor,[0,0],[-1,2]),endPoint:tf4.slice(startEndTensor,[0,2],[-1,2])}),scaleBox=(box,factors)=>{let starts=tf4.mul(box.startPoint,factors),ends=tf4.mul(box.endPoint,factors),newCoordinates=tf4.concat2d([starts,ends],1);return createBox(newCoordinates)};function decodeBounds(boxOutputs,anchors,inputSize){let boxStarts=tf4.slice(boxOutputs,[0,1],[-1,2]),centers=tf4.add(boxStarts,anchors),boxSizes=tf4.slice(boxOutputs,[0,3],[-1,2]),boxSizesNormalized=tf4.div(boxSizes,inputSize),centersNormalized=tf4.div(centers,inputSize),halfBoxSize=tf4.div(boxSizesNormalized,2),starts=tf4.sub(centersNormalized,halfBoxSize),ends=tf4.add(centersNormalized,halfBoxSize),startNormalized=tf4.mul(starts,inputSize),endNormalized=tf4.mul(ends,inputSize),concatAxis=1;return tf4.concat2d([startNormalized,endNormalized],concatAxis)}function scaleBoxFromPrediction(face3,scaleFactor){return tf4.tidy(()=>{let box=face3.box?face3.box:face3;return scaleBox(box,scaleFactor).startEndTensor.squeeze()})}var BlazeFaceModel=class{constructor(model,config2){this.blazeFaceModel=model,this.width=config2.face.detector.inputSize,this.height=config2.face.detector.inputSize,this.anchorsData=generateAnchors(config2.face.detector.inputSize),this.anchors=tf4.tensor2d(this.anchorsData),this.inputSize=tf4.tensor1d([this.width,this.height]),this.config=config2,this.scaleFaces=.8}async getBoundingBoxes(inputImage){if(!inputImage||inputImage.isDisposedInternal||inputImage.shape.length!==4||inputImage.shape[1]<1||inputImage.shape[2]<1)return null;let[detectedOutputs,boxes,scores]=tf4.tidy(()=>{let resizedImage=inputImage.resizeBilinear([this.width,this.height]),normalizedImage=tf4.sub(resizedImage.div(127.5),1),batchedPrediction=this.blazeFaceModel.predict(normalizedImage),prediction;if(Array.isArray(batchedPrediction)){let sorted=batchedPrediction.sort((a,b)=>a.size-b.size),concat384=tf4.concat([sorted[0],sorted[2]],2),concat512=tf4.concat([sorted[1],sorted[3]],2),concat2=tf4.concat([concat512,concat384],1);prediction=concat2.squeeze(0)}else prediction=batchedPrediction.squeeze();let decodedBounds=decodeBounds(prediction,this.anchors,this.inputSize),logits=tf4.slice(prediction,[0,0],[-1,1]),scoresOut=tf4.sigmoid(logits).squeeze();return[prediction,decodedBounds,scoresOut]}),boxIndicesTensor=await tf4.image.nonMaxSuppressionAsync(boxes,scores,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),boxIndices=boxIndicesTensor.arraySync();boxIndicesTensor.dispose();let boundingBoxesMap=boxIndices.map(boxIndex=>tf4.slice(boxes,[boxIndex,0],[1,-1])),boundingBoxes=boundingBoxesMap.map(boundingBox=>{let vals=boundingBox.arraySync();return boundingBox.dispose(),vals}),scoresVal=scores.dataSync(),annotatedBoxes=[];for(let i=0;i<boundingBoxes.length;i++){let boxIndex=boxIndices[i],confidence=scoresVal[boxIndex];if(confidence>this.config.face.detector.minConfidence){let box=createBox(boundingBoxes[i]),anchor=this.anchorsData[boxIndex],landmarks=tf4.tidy(()=>tf4.slice(detectedOutputs,[boxIndex,NUM_LANDMARKS-1],[1,-1]).squeeze().reshape([NUM_LANDMARKS,-1]));annotatedBoxes.push({box,landmarks,anchor,confidence})}}return detectedOutputs.dispose(),boxes.dispose(),scores.dispose(),detectedOutputs.dispose(),{boxes:annotatedBoxes,scaleFactor:[inputImage.shape[2]/this.width,inputImage.shape[1]/this.height]}}async estimateFaces(input){let{boxes,scaleFactor}=await this.getBoundingBoxes(input),faces=[];for(let face3 of boxes){let landmarkData=face3.landmarks.arraySync(),scaledBox=scaleBoxFromPrediction(face3,scaleFactor),boxData=scaleBox.arraySync(),probabilityData=face3.probability.arraySync(),anchor=face3.anchor,[scaleFactorX,scaleFactorY]=scaleFactor,scaledLandmarks=landmarkData.map(landmark=>[(landmark[0]+anchor[0])*scaleFactorX,(landmark[1]+anchor[1])*scaleFactorY]),normalizedFace={topLeft:boxData.slice(0,2),bottomRight:boxData.slice(2),landmarks:scaledLandmarks,probability:probabilityData};disposeBox(face3.box),face3.landmarks.dispose(),face3.probability.dispose(),scaledBox.dispose(),faces.push(normalizedFace)}return faces}};async function load2(config2){let blazeface=await tf4.loadGraphModel(config2.face.detector.modelPath,{fromTFHub:config2.face.detector.modelPath.includes("tfhub.dev")}),model=new BlazeFaceModel(blazeface,config2);return log(`load model: ${config2.face.detector.modelPath.match(/\/(.*)\./)[1]}`),model}exports2.load=load2;exports2.BlazeFaceModel=BlazeFaceModel;exports2.disposeBox=disposeBox}),require_box=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm());function scaleBoxCoordinates2(box,factor){let startPoint=[box.startPoint[0]*factor[0],box.startPoint[1]*factor[1]],endPoint=[box.endPoint[0]*factor[0],box.endPoint[1]*factor[1]];return{startPoint,endPoint}}exports2.scaleBoxCoordinates=scaleBoxCoordinates2;function getBoxSize2(box){return[Math.abs(box.endPoint[0]-box.startPoint[0]),Math.abs(box.endPoint[1]-box.startPoint[1])]}exports2.getBoxSize=getBoxSize2;function getBoxCenter2(box){return[box.startPoint[0]+(box.endPoint[0]-box.startPoint[0])/2,box.startPoint[1]+(box.endPoint[1]-box.startPoint[1])/2]}exports2.getBoxCenter=getBoxCenter2;function cutBoxFromImageAndResize2(box,image4,cropSize){let h=image4.shape[1],w=image4.shape[2],boxes=[[box.startPoint[1]/h,box.startPoint[0]/w,box.endPoint[1]/h,box.endPoint[0]/w]];return tf4.image.cropAndResize(image4,boxes,[0],cropSize)}exports2.cutBoxFromImageAndResize=cutBoxFromImageAndResize2;function enlargeBox2(box,factor=1.5){let center=getBoxCenter2(box),size=getBoxSize2(box),newHalfSize=[factor*size[0]/2,factor*size[1]/2],startPoint=[center[0]-newHalfSize[0],center[1]-newHalfSize[1]],endPoint=[center[0]+newHalfSize[0],center[1]+newHalfSize[1]];return{startPoint,endPoint,landmarks:box.landmarks}}exports2.enlargeBox=enlargeBox2;function squarifyBox2(box){let centers=getBoxCenter2(box),size=getBoxSize2(box),maxEdge=Math.max(...size),halfSize=maxEdge/2,startPoint=[centers[0]-halfSize,centers[1]-halfSize],endPoint=[centers[0]+halfSize,centers[1]+halfSize];return{startPoint,endPoint,landmarks:box.landmarks}}exports2.squarifyBox=squarifyBox2}),require_util=__commonJS(exports2=>{exports2.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function normalizeRadians2(angle){return angle-2*Math.PI*Math.floor((angle+Math.PI)/(2*Math.PI))}exports2.normalizeRadians=normalizeRadians2;function computeRotation2(point1,point2){let radians=Math.PI/2-Math.atan2(-(point2[1]-point1[1]),point2[0]-point1[0]);return normalizeRadians2(radians)}exports2.computeRotation=computeRotation2;function radToDegrees(rad){return rad*180/Math.PI}exports2.radToDegrees=radToDegrees;function buildTranslationMatrix2(x,y){return[[1,0,x],[0,1,y],[0,0,1]]}function dot2(v1,v2){let product=0;for(let i=0;i<v1.length;i++)product+=v1[i]*v2[i];return product}exports2.dot=dot2;function getColumnFrom2DArr2(arr,columnIndex){let column=[];for(let i=0;i<arr.length;i++)column.push(arr[i][columnIndex]);return column}exports2.getColumnFrom2DArr=getColumnFrom2DArr2;function multiplyTransformMatrices2(mat1,mat2){let product=[],size=mat1.length;for(let row=0;row<size;row++){product.push([]);for(let col=0;col<size;col++)product[row].push(dot2(mat1[row],getColumnFrom2DArr2(mat2,col)))}return product}function buildRotationMatrix2(rotation,center){let cosA=Math.cos(rotation),sinA=Math.sin(rotation),rotationMatrix=[[cosA,-sinA,0],[sinA,cosA,0],[0,0,1]],translationMatrix=buildTranslationMatrix2(center[0],center[1]),translationTimesRotation=multiplyTransformMatrices2(translationMatrix,rotationMatrix),negativeTranslationMatrix=buildTranslationMatrix2(-center[0],-center[1]);return multiplyTransformMatrices2(translationTimesRotation,negativeTranslationMatrix)}exports2.buildRotationMatrix=buildRotationMatrix2;function invertTransformMatrix2(matrix){let rotationComponent=[[matrix[0][0],matrix[1][0]],[matrix[0][1],matrix[1][1]]],translationComponent=[matrix[0][2],matrix[1][2]],invertedTranslation=[-dot2(rotationComponent[0],translationComponent),-dot2(rotationComponent[1],translationComponent)];return[rotationComponent[0].concat(invertedTranslation[0]),rotationComponent[1].concat(invertedTranslation[1]),[0,0,1]]}exports2.invertTransformMatrix=invertTransformMatrix2;function rotatePoint2(homogeneousCoordinate,rotationMatrix){return[dot2(homogeneousCoordinate,rotationMatrix[0]),dot2(homogeneousCoordinate,rotationMatrix[1])]}exports2.rotatePoint=rotatePoint2;function xyDistanceBetweenPoints(a,b){return Math.sqrt((a[0]-b[0])**2+(a[1]-b[1])**2)}exports2.xyDistanceBetweenPoints=xyDistanceBetweenPoints}),require_coords=__commonJS(exports2=>{var 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28,17,22,29,25,28,30,26,27,31,29],TRI7=[0,4,1,2,4,3,4,5,6],VTX68=[127,234,132,58,172,150,149,148,152,377,378,379,397,288,361,454,356,70,63,105,66,107,336,296,334,293,300,168,6,195,4,98,97,2,326,327,33,160,158,133,153,144,362,385,387,263,373,380,57,40,37,0,267,270,287,321,314,17,84,91,78,81,13,311,308,402,14,178],VTX33=[33,133,362,263,1,62,308,159,145,386,374,6,102,331,2,13,14,70,105,107,336,334,300,54,10,284,50,280,234,454,58,288,152],VTX7=[33,133,362,263,1,78,308];exports2.MESH_ANNOTATIONS=MESH_ANNOTATIONS;exports2.MESH_TO_IRIS_INDICES_MAP=MESH_TO_IRIS_INDICES_MAP;exports2.TRI468=TRI468;exports2.TRI68=TRI68;exports2.TRI33=TRI33;exports2.TRI7=TRI7;exports2.UV468=UV468;exports2.UV68=VTX68.map(x=>UV468[x]);exports2.UV33=VTX33.map(x=>UV468[x]);exports2.UV7=VTX7.map(x=>UV468[x])}),require_facepipeline=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),bounding=__toModule(require_box()),util=__toModule(require_util()),coords=__toModule(require_coords()),LANDMARKS_COUNT=468,MESH_MOUTH_INDEX=13,MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES=[MESH_MOUTH_INDEX,coords.MESH_ANNOTATIONS.midwayBetweenEyes[0]],BLAZEFACE_MOUTH_INDEX=3,BLAZEFACE_NOSE_INDEX=2,BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES=[BLAZEFACE_MOUTH_INDEX,BLAZEFACE_NOSE_INDEX],LEFT_EYE_OUTLINE=coords.MESH_ANNOTATIONS.leftEyeLower0,LEFT_EYE_BOUNDS=[LEFT_EYE_OUTLINE[0],LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length-1]],RIGHT_EYE_OUTLINE=coords.MESH_ANNOTATIONS.rightEyeLower0,RIGHT_EYE_BOUNDS=[RIGHT_EYE_OUTLINE[0],RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length-1]],IRIS_UPPER_CENTER_INDEX=3,IRIS_LOWER_CENTER_INDEX=4,IRIS_IRIS_INDEX=71,IRIS_NUM_COORDINATES=76;function replaceRawCoordinates(rawCoords,newCoords,prefix,keys){for(let i=0;i<coords.MESH_TO_IRIS_INDICES_MAP.length;i++){let{key,indices}=coords.MESH_TO_IRIS_INDICES_MAP[i],originalIndices=coords.MESH_ANNOTATIONS[`${prefix}${key}`],shouldReplaceAllKeys=keys==null;if(shouldReplaceAllKeys||keys.includes(key))for(let j=0;j<indices.length;j++){let index=indices[j];rawCoords[originalIndices[j]]=[newCoords[index][0],newCoords[index][1],(newCoords[index][2]+rawCoords[originalIndices[j]][2])/2]}}}var Pipeline=class{constructor(boundingBoxDetector,meshDetector,irisModel,config2){this.storedBoxes=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=boundingBoxDetector,this.meshDetector=meshDetector,this.irisModel=irisModel,this.meshWidth=config2.face.mesh.inputSize,this.meshHeight=config2.face.mesh.inputSize,this.irisSize=config2.face.iris.inputSize,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(rawCoords,box,angle,rotationMatrix){let boxSize=bounding.getBoxSize({startPoint:box.startPoint,endPoint:box.endPoint}),scaleFactor=[boxSize[0]/this.meshWidth,boxSize[1]/this.meshHeight],coordsScaled=rawCoords.map(coord=>[scaleFactor[0]*(coord[0]-this.meshWidth/2),scaleFactor[1]*(coord[1]-this.meshHeight/2),coord[2]]),coordsRotationMatrix=angle!==0?util.buildRotationMatrix(angle,[0,0]):util.IDENTITY_MATRIX,coordsRotated=angle!==0?coordsScaled.map(coord=>[...util.rotatePoint(coord,coordsRotationMatrix),coord[2]]):coordsScaled,inverseRotationMatrix=angle!==0?util.invertTransformMatrix(rotationMatrix):util.IDENTITY_MATRIX,boxCenter=[...bounding.getBoxCenter({startPoint:box.startPoint,endPoint:box.endPoint}),1];return coordsRotated.map(coord=>[coord[0]+util.dot(boxCenter,inverseRotationMatrix[0]),coord[1]+util.dot(boxCenter,inverseRotationMatrix[1]),coord[2]])}getLeftToRightEyeDepthDifference(rawCoords){let leftEyeZ=rawCoords[LEFT_EYE_BOUNDS[0]][2],rightEyeZ=rawCoords[RIGHT_EYE_BOUNDS[0]][2];return leftEyeZ-rightEyeZ}getEyeBox(rawCoords,face3,eyeInnerCornerIndex,eyeOuterCornerIndex,flip=!1){let box=bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex],rawCoords[eyeOuterCornerIndex]]),this.irisEnlarge)),boxSize=bounding.getBoxSize(box),crop=tf4.image.cropAndResize(face3,[[box.startPoint[1]/this.meshHeight,box.startPoint[0]/this.meshWidth,box.endPoint[1]/this.meshHeight,box.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return flip&&(crop=tf4.image.flipLeftRight(crop)),{box,boxSize,crop}}getEyeCoords(eyeData,eyeBox,eyeBoxSize,flip=!1){let eyeRawCoords=[];for(let i=0;i<IRIS_NUM_COORDINATES;i++){let x=eyeData[i*3],y=eyeData[i*3+1],z=eyeData[i*3+2];eyeRawCoords.push([(flip?1-x/this.irisSize:x/this.irisSize)*eyeBoxSize[0]+eyeBox.startPoint[0],y/this.irisSize*eyeBoxSize[1]+eyeBox.startPoint[1],z])}return{rawCoords:eyeRawCoords,iris:eyeRawCoords.slice(IRIS_IRIS_INDEX)}}getAdjustedIrisCoords(rawCoords,irisCoords,direction){let upperCenterZ=rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2],lowerCenterZ=rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2],averageZ=(upperCenterZ+lowerCenterZ)/2;return irisCoords.map((coord,i)=>{let z=averageZ;return i===2?z=upperCenterZ:i===4&&(z=lowerCenterZ),[coord[0],coord[1],z]})}async predict(input,config2){let useFreshBox=!1,detector;if((this.skipped===0||this.skipped>config2.face.detector.skipFrames||!config2.face.mesh.enabled||!config2.videoOptimized)&&(detector=await this.boundingBoxDetector.getBoundingBoxes(input),this.skipped=0),config2.videoOptimized&&this.skipped++,detector&&detector.boxes&&detector.boxes.length>0&&(!config2.face.mesh.enabled||detector.boxes.length!==this.detectedFaces&&this.detectedFaces!==config2.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let possible of detector.boxes)this.storedBoxes.push({startPoint:possible.box.startPoint.dataSync(),endPoint:possible.box.endPoint.dataSync(),landmarks:possible.landmarks,confidence:possible.confidence});this.storedBoxes.length>0&&(useFreshBox=!0)}if(useFreshBox){if(!detector||!detector.boxes||detector.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let i=0;i<this.storedBoxes.length;i++){let scaledBox=bounding.scaleBoxCoordinates({startPoint:this.storedBoxes[i].startPoint,endPoint:this.storedBoxes[i].endPoint},detector.scaleFactor),enlargedBox=bounding.enlargeBox(scaledBox),squarifiedBox=bounding.squarifyBox(enlargedBox),landmarks=this.storedBoxes[i].landmarks.arraySync(),confidence=this.storedBoxes[i].confidence;this.storedBoxes[i]={...squarifiedBox,confidence,landmarks}}this.runsWithoutFaceDetector=0}detector&&detector.boxes&&detector.boxes.forEach(prediction=>{prediction.box.startPoint.dispose(),prediction.box.endPoint.dispose(),prediction.landmarks.dispose()});let results=tf4.tidy(()=>this.storedBoxes.map((box,i)=>{let face3,angle=0,rotationMatrix;if(config2.face.detector.rotation){let[indexOfMouth,indexOfForehead]=box.landmarks.length>=LANDMARKS_COUNT?MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES:BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;angle=util.computeRotation(box.landmarks[indexOfMouth],box.landmarks[indexOfForehead]);let faceCenter=bounding.getBoxCenter({startPoint:box.startPoint,endPoint:box.endPoint}),faceCenterNormalized=[faceCenter[0]/input.shape[2],faceCenter[1]/input.shape[1]],rotatedImage=tf4.image.rotateWithOffset(input,angle,0,faceCenterNormalized);rotationMatrix=util.buildRotationMatrix(-angle,faceCenter),face3=bounding.cutBoxFromImageAndResize({startPoint:box.startPoint,endPoint:box.endPoint},rotatedImage,[this.meshHeight,this.meshWidth]).div(255)}else{rotationMatrix=util.IDENTITY_MATRIX;let cloned=input.clone();face3=bounding.cutBoxFromImageAndResize({startPoint:box.startPoint,endPoint:box.endPoint},cloned,[this.meshHeight,this.meshWidth]).div(255)}if(!config2.face.mesh.enabled){let prediction2={coords:null,box,faceConfidence:null,confidence:box.confidence,image:face3};return prediction2}let[,confidence,contourCoords]=this.meshDetector.predict(face3),confidenceVal=confidence.dataSync()[0];if(confidenceVal<config2.face.detector.minConfidence)return null;let coordsReshaped=tf4.reshape(contourCoords,[-1,3]),rawCoords=coordsReshaped.arraySync();if(config2.face.iris.enabled){let{box:leftEyeBox,boxSize:leftEyeBoxSize,crop:leftEyeCrop}=this.getEyeBox(rawCoords,face3,LEFT_EYE_BOUNDS[0],LEFT_EYE_BOUNDS[1],!0),{box:rightEyeBox,boxSize:rightEyeBoxSize,crop:rightEyeCrop}=this.getEyeBox(rawCoords,face3,RIGHT_EYE_BOUNDS[0],RIGHT_EYE_BOUNDS[1]),eyePredictions=this.irisModel.predict(tf4.concat([leftEyeCrop,rightEyeCrop])),eyePredictionsData=eyePredictions.dataSync(),leftEyeData=eyePredictionsData.slice(0,IRIS_NUM_COORDINATES*3),{rawCoords:leftEyeRawCoords,iris:leftIrisRawCoords}=this.getEyeCoords(leftEyeData,leftEyeBox,leftEyeBoxSize,!0),rightEyeData=eyePredictionsData.slice(IRIS_NUM_COORDINATES*3),{rawCoords:rightEyeRawCoords,iris:rightIrisRawCoords}=this.getEyeCoords(rightEyeData,rightEyeBox,rightEyeBoxSize),leftToRightEyeDepthDifference=this.getLeftToRightEyeDepthDifference(rawCoords);Math.abs(leftToRightEyeDepthDifference)<30?(replaceRawCoordinates(rawCoords,leftEyeRawCoords,"left"),replaceRawCoordinates(rawCoords,rightEyeRawCoords,"right")):leftToRightEyeDepthDifference<1?replaceRawCoordinates(rawCoords,leftEyeRawCoords,"left",["EyeUpper0","EyeLower0"]):replaceRawCoordinates(rawCoords,rightEyeRawCoords,"right",["EyeUpper0","EyeLower0"]);let adjustedLeftIrisCoords=this.getAdjustedIrisCoords(rawCoords,leftIrisRawCoords,"left"),adjustedRightIrisCoords=this.getAdjustedIrisCoords(rawCoords,rightIrisRawCoords,"right");rawCoords=rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords)}let transformedCoordsData=this.transformRawCoords(rawCoords,box,angle,rotationMatrix),landmarksBox=bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData)),squarifiedLandmarksBox=bounding.squarifyBox(landmarksBox),transformedCoords=tf4.tensor2d(transformedCoordsData),prediction={coords:transformedCoords,box:landmarksBox,faceConfidence:confidenceVal,confidence:box.confidence,image:face3};return config2.face.mesh.returnRawData&&(prediction.rawCoords=rawCoords),this.storedBoxes[i]={...squarifiedLandmarksBox,landmarks:transformedCoords.arraySync(),confidence:box.confidence,faceConfidence:confidenceVal},prediction}));return results=results.filter(a=>a!==null),this.detectedFaces=results.length,results}calculateLandmarksBoundingBox(landmarks){let xs=landmarks.map(d=>d[0]),ys=landmarks.map(d=>d[1]),startPoint=[Math.min(...xs),Math.min(...ys)],endPoint=[Math.max(...xs),Math.max(...ys)];return{startPoint,endPoint,landmarks}}};exports2.Pipeline=Pipeline}),require_facemesh=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),blazeface=__toModule(require_blazeface()),facepipeline=__toModule(require_facepipeline()),coords=__toModule(require_coords()),MediaPipeFaceMesh=class{constructor(blazeFace,blazeMeshModel,irisModel,config2){this.facePipeline=new facepipeline.Pipeline(blazeFace,blazeMeshModel,irisModel,config2),this.config=config2}async estimateFaces(input,config2){let predictions=await this.facePipeline.predict(input,config2),results=[];for(let prediction of predictions||[]){if(prediction.isDisposedInternal)continue;let mesh=prediction.coords?prediction.coords.arraySync():null,meshRaw=prediction.rawCoords,annotations={};if(mesh&&mesh.length>0)for(let key=0;key<coords.MESH_ANNOTATIONS.length;key++)(config2.face.iris.enabled||key.includes("Iris")===!1)&&(annotations[key]=coords.MESH_ANNOTATIONS[key].map(index=>mesh[index]));let boxRaw=config2.face.mesh.returnRawData&&prediction.box?{topLeft:prediction.box.startPoint,bottomRight:prediction.box.endPoint}:null,box=prediction.box?[Math.max(0,prediction.box.startPoint[0]),Math.max(0,prediction.box.startPoint[1]),Math.min(input.shape[2],prediction.box.endPoint[0])-prediction.box.startPoint[0],Math.min(input.shape[1],prediction.box.endPoint[1])-prediction.box.startPoint[1]]:0;results.push({confidence:prediction.confidence||0,box,mesh,boxRaw,meshRaw,annotations,image:prediction.image?tf4.clone(prediction.image):null}),prediction.coords&&prediction.coords.dispose(),prediction.image&&prediction.image.dispose()}return results}},faceModels=[null,null,null];async function load2(config2){faceModels=await Promise.all([!faceModels[0]&&config2.face.enabled?blazeface.load(config2):null,!faceModels[1]&&config2.face.mesh.enabled?tf4.loadGraphModel(config2.face.mesh.modelPath,{fromTFHub:config2.face.mesh.modelPath.includes("tfhub.dev")}):null,!faceModels[2]&&config2.face.iris.enabled?tf4.loadGraphModel(config2.face.iris.modelPath,{fromTFHub:config2.face.iris.modelPath.includes("tfhub.dev")}):null]);let faceMesh=new MediaPipeFaceMesh(faceModels[0],faceModels[1],faceModels[2],config2);return config2.face.mesh.enabled&&log(`load model: ${config2.face.mesh.modelPath.match(/\/(.*)\./)[1]}`),config2.face.iris.enabled&&log(`load model: ${config2.face.iris.modelPath.match(/\/(.*)\./)[1]}`),faceMesh}exports2.load=load2;exports2.MediaPipeFaceMesh=MediaPipeFaceMesh;exports2.triangulation=coords.TRI468}),require_profile=__commonJS(exports2=>{var profileData={};function profile2(name,data2){if(!data2||!data2.kernels)return;let maxResults=5,time=data2.kernels.filter(a=>a.kernelTimeMs>0).reduce((a,b)=>a+=b.kernelTimeMs,0),slowest=data2.kernels.map((a,i)=>(a.id=i,a)).filter(a=>a.kernelTimeMs>0).sort((a,b)=>b.kernelTimeMs-a.kernelTimeMs),largest=data2.kernels.map((a,i)=>(a.id=i,a)).filter(a=>a.totalBytesSnapshot>0).sort((a,b)=>b.totalBytesSnapshot-a.totalBytesSnapshot);slowest.length>maxResults&&(slowest.length=maxResults),largest.length>maxResults&&(largest.length=maxResults);let res={newBytes:data2.newBytes,newTensors:data2.newTensors,peakBytes:data2.peakBytes,numKernelOps:data2.kernels.length,timeKernelOps:time,slowestKernelOps:slowest,largestKernelOps:largest};profileData[name]=res,log("Human profiler",name,res)}exports2.run=profile2}),require_age=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),profile2=__toModule(require_profile()),models={},last={age:0},skipped=Number.MAX_SAFE_INTEGER;async function load2(config2){return models.age||(models.age=await tf4.loadGraphModel(config2.face.age.modelPath),log(`load model: ${config2.face.age.modelPath.match(/\/(.*)\./)[1]}`)),models.age}async function predict2(image4,config2){return models.age?skipped<config2.face.age.skipFrames&&config2.videoOptimized&&last.age&&last.age>0?(skipped++,last):(config2.videoOptimized?skipped=0:skipped=Number.MAX_SAFE_INTEGER,new Promise(async resolve=>{let resize=tf4.image.resizeBilinear(image4,[config2.face.age.inputSize,config2.face.age.inputSize],!1),enhance=tf4.mul(resize,[255]);tf4.dispose(resize);let ageT,obj={};if(!config2.profile)config2.face.age.enabled&&(ageT=await models.age.predict(enhance));else{let profileAge=config2.face.age.enabled?await tf4.profile(()=>models.age.predict(enhance)):{};ageT=profileAge.result.clone(),profileAge.result.dispose(),profile2.run("age",profileAge)}if(enhance.dispose(),ageT){let data2=ageT.dataSync();obj.age=Math.trunc(10*data2[0])/10}ageT.dispose(),last=obj,resolve(obj)})):null}exports2.predict=predict2;exports2.load=load2}),require_gender=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),profile2=__toModule(require_profile()),models={},last={gender:""},skipped=Number.MAX_SAFE_INTEGER,alternative=!1,rgb=[.2989,.587,.114];async function load2(config2){return models.gender||(models.gender=await tf4.loadGraphModel(config2.face.gender.modelPath),alternative=models.gender.inputs[0].shape[3]===1,log(`load model: ${config2.face.gender.modelPath.match(/\/(.*)\./)[1]}`)),models.gender}async function predict2(image4,config2){return models.gender?skipped<config2.face.gender.skipFrames&&config2.videoOptimized&&last.gender!==""?(skipped++,last):(config2.videoOptimized?skipped=0:skipped=Number.MAX_SAFE_INTEGER,new Promise(async resolve=>{let resize=tf4.image.resizeBilinear(image4,[config2.face.gender.inputSize,config2.face.gender.inputSize],!1),enhance;alternative?enhance=tf4.tidy(()=>{let[red,green,blue]=tf4.split(resize,3,3),redNorm=tf4.mul(red,rgb[0]),greenNorm=tf4.mul(green,rgb[1]),blueNorm=tf4.mul(blue,rgb[2]),grayscale=tf4.addN([redNorm,greenNorm,blueNorm]);return grayscale.sub(.5).mul(2)}):enhance=tf4.mul(resize,[255]),tf4.dispose(resize);let genderT,obj={};if(!config2.profile)config2.face.gender.enabled&&(genderT=await models.gender.predict(enhance));else{let profileGender=config2.face.gender.enabled?await tf4.profile(()=>models.gender.predict(enhance)):{};genderT=profileGender.result.clone(),profileGender.result.dispose(),profile2.run("gender",profileGender)}if(enhance.dispose(),genderT){let data2=genderT.dataSync();if(alternative){let confidence=Math.trunc(100*Math.abs(data2[0]-data2[1]))/100;confidence>config2.face.gender.minConfidence&&(obj.gender=data2[0]>data2[1]?"female":"male",obj.confidence=confidence)}else{let confidence=Math.trunc(200*Math.abs(data2[0]-.5))/100;confidence>config2.face.gender.minConfidence&&(obj.gender=data2[0]<=.5?"female":"male",obj.confidence=Math.min(.99,confidence))}}genderT.dispose(),last=obj,resolve(obj)})):null}exports2.predict=predict2;exports2.load=load2}),require_emotion=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),profile2=__toModule(require_profile()),annotations=["angry","disgust","fear","happy","sad","surpise","neutral"],models={},last=[],skipped=Number.MAX_SAFE_INTEGER,rgb=[.2989,.587,.114],scale=1;async function load2(config2){return models.emotion||(models.emotion=await tf4.loadGraphModel(config2.face.emotion.modelPath),log(`load model: ${config2.face.emotion.modelPath.match(/\/(.*)\./)[1]}`)),models.emotion}async function predict2(image4,config2){return models.emotion?skipped<config2.face.emotion.skipFrames&&config2.videoOptimized&&last.length>0?(skipped++,last):(config2.videoOptimized?skipped=0:skipped=Number.MAX_SAFE_INTEGER,new Promise(async resolve=>{let resize=tf4.image.resizeBilinear(image4,[config2.face.emotion.inputSize,config2.face.emotion.inputSize],!1),[red,green,blue]=tf4.split(resize,3,3);resize.dispose();let redNorm=tf4.mul(red,rgb[0]),greenNorm=tf4.mul(green,rgb[1]),blueNorm=tf4.mul(blue,rgb[2]);red.dispose(),green.dispose(),blue.dispose();let grayscale=tf4.addN([redNorm,greenNorm,blueNorm]);redNorm.dispose(),greenNorm.dispose(),blueNorm.dispose();let normalize=tf4.tidy(()=>grayscale.sub(.5).mul(2));grayscale.dispose();let obj=[];if(config2.face.emotion.enabled){let data2;if(config2.profile){let profileData=await tf4.profile(()=>models.emotion.predict(normalize));data2=profileData.result.dataSync(),profileData.result.dispose(),profile2.run("emotion",profileData)}else{let emotionT=await models.emotion.predict(normalize);data2=emotionT.dataSync(),tf4.dispose(emotionT)}for(let i=0;i<data2.length;i++)scale*data2[i]>config2.face.emotion.minConfidence&&obj.push({score:Math.min(.99,Math.trunc(100*scale*data2[i])/100),emotion:annotations[i]});obj.sort((a,b)=>b.score-a.score)}normalize.dispose(),last=obj,resolve(obj)})):null}exports2.predict=predict2;exports2.load=load2}),require_embedding=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),profile2=__toModule(require_profile()),models={};async function load2(config2){return models.embedding||(models.embedding=await tf4.loadGraphModel(config2.face.embedding.modelPath),log(`load model: ${config2.face.embedding.modelPath.match(/\/(.*)\./)[1]}`)),models.embedding}function simmilarity2(embedding1,embedding2){if((embedding1==null?void 0:embedding1.length)!==(embedding2==null?void 0:embedding2.length))return 0;let order=2,distance=10*embedding1.map((val,i)=>val-embedding2[i]).reduce((dist,diff)=>dist+diff**order,0)**(1/order);return Math.trunc(1e3*(1-distance))/1e3}async function predict2(image4,config2){return models.embedding?new Promise(async resolve=>{let resize=tf4.image.resizeBilinear(image4,[config2.face.embedding.inputSize,config2.face.embedding.inputSize],!1),data2=[];if(config2.face.embedding.enabled)if(config2.profile){let profileData=await tf4.profile(()=>models.embedding.predict({img_inputs:resize}));data2=[...profileData.result.dataSync()],profileData.result.dispose(),profile2.run("emotion",profileData)}else{let embeddingT=await models.embedding.predict({img_inputs:resize});data2=[...embeddingT.dataSync()],tf4.dispose(embeddingT)}resize.dispose(),resolve(data2)}):null}exports2.predict=predict2;exports2.simmilarity=simmilarity2;exports2.load=load2}),require_modelBase=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),imageNetMean=[-123.15,-115.9,-103.06];function nameOutputResultsMobileNet(results){let[offsets,heatmap,displacementFwd,displacementBwd]=results;return{offsets,heatmap,displacementFwd,displacementBwd}}function nameOutputResultsResNet(results){let[displacementFwd,displacementBwd,offsets,heatmap]=results;return{offsets,heatmap,displacementFwd,displacementBwd}}var BaseModel=class{constructor(model){this.model=model}predict(input,config2){return tf4.tidy(()=>{let asFloat=config2.body.modelType==="ResNet"?input.toFloat().add(imageNetMean):input.toFloat().div(127.5).sub(1),asBatch=asFloat.expandDims(0),results=this.model.predict(asBatch),results3d=results.map(y=>y.squeeze([0])),namedResults=config2.body.modelType==="ResNet"?nameOutputResultsResNet(results3d):nameOutputResultsMobileNet(results3d);return{heatmapScores:namedResults.heatmap.sigmoid(),offsets:namedResults.offsets,displacementFwd:namedResults.displacementFwd,displacementBwd:namedResults.displacementBwd}})}dispose(){this.model.dispose()}};exports2.BaseModel=BaseModel}),require_heapSort=__commonJS(exports2=>{function half(k){return Math.floor(k/2)}var MaxHeap=class{constructor(maxSize,getElementValue){this.priorityQueue=new Array(maxSize),this.numberOfElements=-1,this.getElementValue=getElementValue}enqueue(x){this.priorityQueue[++this.numberOfElements]=x,this.swim(this.numberOfElements)}dequeue(){let max=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,max}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(k){for(;k>0&&this.less(half(k),k);)this.exchange(k,half(k)),k=half(k)}sink(k){for(;2*k<=this.numberOfElements;){let j=2*k;if(j<this.numberOfElements&&this.less(j,j+1)&&j++,!this.less(k,j))break;this.exchange(k,j),k=j}}getValueAt(i){return this.getElementValue(this.priorityQueue[i])}less(i,j){return this.getValueAt(i)<this.getValueAt(j)}exchange(i,j){let t=this.priorityQueue[i];this.priorityQueue[i]=this.priorityQueue[j],this.priorityQueue[j]=t}};exports2.MaxHeap=MaxHeap}),require_buildParts=__commonJS(exports2=>{var heapSort=__toModule(require_heapSort());function scoreIsMaximumInLocalWindow(keypointId,score,heatmapY,heatmapX,localMaximumRadius,scores){let[height,width]=scores.shape,localMaximum=!0,yStart=Math.max(heatmapY-localMaximumRadius,0),yEnd=Math.min(heatmapY+localMaximumRadius+1,height);for(let yCurrent=yStart;yCurrent<yEnd;++yCurrent){let xStart=Math.max(heatmapX-localMaximumRadius,0),xEnd=Math.min(heatmapX+localMaximumRadius+1,width);for(let xCurrent=xStart;xCurrent<xEnd;++xCurrent)if(scores.get(yCurrent,xCurrent,keypointId)>score){localMaximum=!1;break}if(!localMaximum)break}return localMaximum}function buildPartWithScoreQueue(scoreThreshold,localMaximumRadius,scores){let[height,width,numKeypoints]=scores.shape,queue=new heapSort.MaxHeap(height*width*numKeypoints,({score})=>score);for(let heatmapY=0;heatmapY<height;++heatmapY)for(let heatmapX=0;heatmapX<width;++heatmapX)for(let keypointId=0;keypointId<numKeypoints;++keypointId){let score=scores.get(heatmapY,heatmapX,keypointId);if(score<scoreThreshold)continue;scoreIsMaximumInLocalWindow(keypointId,score,heatmapY,heatmapX,localMaximumRadius,scores)&&queue.enqueue({score,part:{heatmapY,heatmapX,id:keypointId}})}return queue}exports2.buildPartWithScoreQueue=buildPartWithScoreQueue}),require_keypoints=__commonJS(exports2=>{exports2.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];exports2.NUM_KEYPOINTS=exports2.partNames.length;exports2.partIds=exports2.partNames.reduce((result,jointName,i)=>(result[jointName]=i,result),{});var connectedPartNames=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];exports2.connectedPartIndices=connectedPartNames.map(([jointNameA,jointNameB])=>[exports2.partIds[jointNameA],exports2.partIds[jointNameB]]);exports2.poseChain=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];exports2.partChannels=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]}),require_vectors=__commonJS(exports2=>{var kpt=__toModule(require_keypoints());function getOffsetPoint(y,x,keypoint,offsets){return{y:offsets.get(y,x,keypoint),x:offsets.get(y,x,keypoint+kpt.NUM_KEYPOINTS)}}exports2.getOffsetPoint=getOffsetPoint;function getImageCoords(part,outputStride,offsets){let{heatmapY,heatmapX,id:keypoint}=part,{y,x}=getOffsetPoint(heatmapY,heatmapX,keypoint,offsets);return{x:part.heatmapX*outputStride+x,y:part.heatmapY*outputStride+y}}exports2.getImageCoords=getImageCoords;function fillArray(element,size){let result=new Array(size);for(let i=0;i<size;i++)result[i]=element;return result}exports2.fillArray=fillArray;function clamp(a,min,max){return a<min?min:a>max?max:a}exports2.clamp=clamp;function squaredDistance(y1,x1,y2,x2){let dy=y2-y1,dx=x2-x1;return dy*dy+dx*dx}exports2.squaredDistance=squaredDistance;function addVectors(a,b){return{x:a.x+b.x,y:a.y+b.y}}exports2.addVectors=addVectors;function clampVector(a,min,max){return{y:clamp(a.y,min,max),x:clamp(a.x,min,max)}}exports2.clampVector=clampVector}),require_decoders=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),kpt=__toModule(require_keypoints());function getPointsConfidence(heatmapScores,heatMapCoords){let numKeypoints=heatMapCoords.shape[0],result=new Float32Array(numKeypoints);for(let keypoint=0;keypoint<numKeypoints;keypoint++){let y=heatMapCoords.get(keypoint,0),x=heatMapCoords.get(keypoint,1);result[keypoint]=heatmapScores.get(y,x,keypoint)}return result}exports2.getPointsConfidence=getPointsConfidence;function getOffsetPoint(y,x,keypoint,offsetsBuffer){return{y:offsetsBuffer.get(y,x,keypoint),x:offsetsBuffer.get(y,x,keypoint+kpt.NUM_KEYPOINTS)}}function getOffsetVectors(heatMapCoordsBuffer,offsetsBuffer){let result=[];for(let keypoint=0;keypoint<kpt.NUM_KEYPOINTS;keypoint++){let heatmapY=heatMapCoordsBuffer.get(keypoint,0).valueOf(),heatmapX=heatMapCoordsBuffer.get(keypoint,1).valueOf(),{x,y}=getOffsetPoint(heatmapY,heatmapX,keypoint,offsetsBuffer);result.push(y),result.push(x)}return tf4.tensor2d(result,[kpt.NUM_KEYPOINTS,2])}exports2.getOffsetVectors=getOffsetVectors;function getOffsetPoints(heatMapCoordsBuffer,outputStride,offsetsBuffer){return tf4.tidy(()=>heatMapCoordsBuffer.toTensor().mul(tf4.scalar(outputStride,"int32")).toFloat().add(getOffsetVectors(heatMapCoordsBuffer,offsetsBuffer)))}exports2.getOffsetPoints=getOffsetPoints;function mod(a,b){return tf4.tidy(()=>{let floored=a.div(tf4.scalar(b,"int32"));return a.sub(floored.mul(tf4.scalar(b,"int32")))})}function argmax2d(inputs){let[height,width,depth]=inputs.shape;return tf4.tidy(()=>{let reshaped=inputs.reshape([height*width,depth]),coords=reshaped.argMax(0),yCoords=coords.div(tf4.scalar(width,"int32")).expandDims(1),xCoords=mod(coords,width).expandDims(1);return tf4.concat([yCoords,xCoords],1)})}exports2.argmax2d=argmax2d}),require_decodePose=__commonJS(exports2=>{var keypoints=__toModule(require_keypoints()),vectors=__toModule(require_vectors()),decoders=__toModule(require_decoders()),parentChildrenTuples=keypoints.poseChain.map(([parentJoinName,childJoinName])=>[keypoints.partIds[parentJoinName],keypoints.partIds[childJoinName]]),parentToChildEdges=parentChildrenTuples.map(([,childJointId])=>childJointId),childToParentEdges=parentChildrenTuples.map(([parentJointId])=>parentJointId);function getDisplacement(edgeId,point,displacements){let numEdges=displacements.shape[2]/2;return{y:displacements.get(point.y,point.x,edgeId),x:displacements.get(point.y,point.x,numEdges+edgeId)}}function getStridedIndexNearPoint(point,outputStride,height,width){return{y:vectors.clamp(Math.round(point.y/outputStride),0,height-1),x:vectors.clamp(Math.round(point.x/outputStride),0,width-1)}}function traverseToTargetKeypoint(edgeId,sourceKeypoint,targetKeypointId,scoresBuffer,offsets,outputStride,displacements,offsetRefineStep=2){let[height,width]=scoresBuffer.shape,sourceKeypointIndices=getStridedIndexNearPoint(sourceKeypoint.position,outputStride,height,width),displacement=getDisplacement(edgeId,sourceKeypointIndices,displacements),displacedPoint=vectors.addVectors(sourceKeypoint.position,displacement),targetKeypoint=displacedPoint;for(let i=0;i<offsetRefineStep;i++){let targetKeypointIndices=getStridedIndexNearPoint(targetKeypoint,outputStride,height,width),offsetPoint=vectors.getOffsetPoint(targetKeypointIndices.y,targetKeypointIndices.x,targetKeypointId,offsets);targetKeypoint=vectors.addVectors({x:targetKeypointIndices.x*outputStride,y:targetKeypointIndices.y*outputStride},{x:offsetPoint.x,y:offsetPoint.y})}let targetKeyPointIndices=getStridedIndexNearPoint(targetKeypoint,outputStride,height,width),score=scoresBuffer.get(targetKeyPointIndices.y,targetKeyPointIndices.x,targetKeypointId);return{position:targetKeypoint,part:keypoints.partNames[targetKeypointId],score}}function decodePose(root,scores,offsets,outputStride,displacementsFwd,displacementsBwd){let numParts=scores.shape[2],numEdges=parentToChildEdges.length,instanceKeypoints=new Array(numParts),{part:rootPart,score:rootScore}=root,rootPoint=vectors.getImageCoords(rootPart,outputStride,offsets);instanceKeypoints[rootPart.id]={score:rootScore,part:keypoints.partNames[rootPart.id],position:rootPoint};for(let edge=numEdges-1;edge>=0;--edge){let sourceKeypointId=parentToChildEdges[edge],targetKeypointId=childToParentEdges[edge];instanceKeypoints[sourceKeypointId]&&!instanceKeypoints[targetKeypointId]&&(instanceKeypoints[targetKeypointId]=traverseToTargetKeypoint(edge,instanceKeypoints[sourceKeypointId],targetKeypointId,scores,offsets,outputStride,displacementsBwd))}for(let edge=0;edge<numEdges;++edge){let sourceKeypointId=childToParentEdges[edge],targetKeypointId=parentToChildEdges[edge];instanceKeypoints[sourceKeypointId]&&!instanceKeypoints[targetKeypointId]&&(instanceKeypoints[targetKeypointId]=traverseToTargetKeypoint(edge,instanceKeypoints[sourceKeypointId],targetKeypointId,scores,offsets,outputStride,displacementsFwd))}return instanceKeypoints}exports2.decodePose=decodePose;async function decodeSinglePose(heatmapScores,offsets,config2){let totalScore=0,heatmapValues=decoders.argmax2d(heatmapScores),allTensorBuffers=await Promise.all([heatmapScores.buffer(),offsets.buffer(),heatmapValues.buffer()]),scoresBuffer=allTensorBuffers[0],offsetsBuffer=allTensorBuffers[1],heatmapValuesBuffer=allTensorBuffers[2],offsetPoints=decoders.getOffsetPoints(heatmapValuesBuffer,config2.body.outputStride,offsetsBuffer),offsetPointsBuffer=await offsetPoints.buffer(),keypointConfidence=Array.from(decoders.getPointsConfidence(scoresBuffer,heatmapValuesBuffer)),instanceKeypoints=keypointConfidence.map((score,i)=>(totalScore+=score,{position:{y:offsetPointsBuffer.get(i,0),x:offsetPointsBuffer.get(i,1)},part:keypoints.partNames[i],score})),filteredKeypoints=instanceKeypoints.filter(kpt=>kpt.score>config2.body.scoreThreshold);return heatmapValues.dispose(),offsetPoints.dispose(),{keypoints:filteredKeypoints,score:totalScore/instanceKeypoints.length}}exports2.decodeSinglePose=decodeSinglePose}),require_decodeMultiple=__commonJS(exports2=>{var buildParts=__toModule(require_buildParts()),decodePose=__toModule(require_decodePose()),vectors=__toModule(require_vectors()),kLocalMaximumRadius=1;function withinNmsRadiusOfCorrespondingPoint(poses,squaredNmsRadius,{x,y},keypointId){return poses.some(({keypoints})=>{let correspondingKeypoint=keypoints[keypointId].position;return vectors.squaredDistance(y,x,correspondingKeypoint.y,correspondingKeypoint.x)<=squaredNmsRadius})}function getInstanceScore(existingPoses,squaredNmsRadius,instanceKeypoints){let notOverlappedKeypointScores=instanceKeypoints.reduce((result,{position,score},keypointId)=>(withinNmsRadiusOfCorrespondingPoint(existingPoses,squaredNmsRadius,position,keypointId)||(result+=score),result),0);return notOverlappedKeypointScores/instanceKeypoints.length}function decodeMultiplePoses(scoresBuffer,offsetsBuffer,displacementsFwdBuffer,displacementsBwdBuffer,config2){let poses=[],queue=buildParts.buildPartWithScoreQueue(config2.body.scoreThreshold,kLocalMaximumRadius,scoresBuffer),squaredNmsRadius=config2.body.nmsRadius^2;for(;poses.length<config2.body.maxDetections&&!queue.empty();){let root=queue.dequeue(),rootImageCoords=vectors.getImageCoords(root.part,config2.body.outputStride,offsetsBuffer);if(withinNmsRadiusOfCorrespondingPoint(poses,squaredNmsRadius,rootImageCoords,root.part.id))continue;let keypoints=decodePose.decodePose(root,scoresBuffer,offsetsBuffer,config2.body.outputStride,displacementsFwdBuffer,displacementsBwdBuffer),score=getInstanceScore(poses,squaredNmsRadius,keypoints);score>config2.body.scoreThreshold&&poses.push({keypoints,score})}return poses}exports2.decodeMultiplePoses=decodeMultiplePoses}),require_util2=__commonJS(exports2=>{var kpt=__toModule(require_keypoints());function eitherPointDoesntMeetConfidence(a,b,minConfidence){return a<minConfidence||b<minConfidence}function getAdjacentKeyPoints(keypoints,minConfidence){return kpt.connectedPartIndices.reduce((result,[leftJoint,rightJoint])=>(eitherPointDoesntMeetConfidence(keypoints[leftJoint].score,keypoints[rightJoint].score,minConfidence)||result.push([keypoints[leftJoint],keypoints[rightJoint]]),result),[])}exports2.getAdjacentKeyPoints=getAdjacentKeyPoints;var{NEGATIVE_INFINITY,POSITIVE_INFINITY}=Number;function getBoundingBox(keypoints){return keypoints.reduce(({maxX,maxY,minX,minY},{position:{x,y}})=>({maxX:Math.max(maxX,x),maxY:Math.max(maxY,y),minX:Math.min(minX,x),minY:Math.min(minY,y)}),{maxX:NEGATIVE_INFINITY,maxY:NEGATIVE_INFINITY,minX:POSITIVE_INFINITY,minY:POSITIVE_INFINITY})}exports2.getBoundingBox=getBoundingBox;function getBoundingBoxPoints(keypoints){let{minX,minY,maxX,maxY}=getBoundingBox(keypoints);return[{x:minX,y:minY},{x:maxX,y:minY},{x:maxX,y:maxY},{x:minX,y:maxY}]}exports2.getBoundingBoxPoints=getBoundingBoxPoints;async function toTensorBuffers3D(tensors){return Promise.all(tensors.map(tensor=>tensor.buffer()))}exports2.toTensorBuffers3D=toTensorBuffers3D;function scalePose(pose,scaleY,scaleX){return{score:pose.score,keypoints:pose.keypoints.map(({score,part,position})=>({score,part,position:{x:position.x*scaleX,y:position.y*scaleY}}))}}exports2.scalePose=scalePose;function resizeTo(image3,[targetH,targetW]){let input=image3.squeeze(0),resized=input.resizeBilinear([targetH,targetW]);return input.dispose(),resized}exports2.resizeTo=resizeTo;function scaleAndFlipPoses(poses,[height,width],[inputResolutionHeight,inputResolutionWidth]){let scaledPoses=poses.map(pose=>scalePose(pose,height/inputResolutionHeight,width/inputResolutionWidth));return scaledPoses}exports2.scaleAndFlipPoses=scaleAndFlipPoses}),require_modelPoseNet=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),modelBase=__toModule(require_modelBase()),decodeMultiple=__toModule(require_decodeMultiple()),decodePose=__toModule(require_decodePose()),util=__toModule(require_util2());async function estimateMultiple(input,res,config2){return new Promise(async resolve=>{let height=input.shape[1],width=input.shape[2],allTensorBuffers=await util.toTensorBuffers3D([res.heatmapScores,res.offsets,res.displacementFwd,res.displacementBwd]),scoresBuffer=allTensorBuffers[0],offsetsBuffer=allTensorBuffers[1],displacementsFwdBuffer=allTensorBuffers[2],displacementsBwdBuffer=allTensorBuffers[3],poses=await decodeMultiple.decodeMultiplePoses(scoresBuffer,offsetsBuffer,displacementsFwdBuffer,displacementsBwdBuffer,config2),scaled=util.scaleAndFlipPoses(poses,[height,width],[config2.body.inputSize,config2.body.inputSize]);resolve(scaled)})}async function estimateSingle(input,res,config2){return new Promise(async resolve=>{let height=input.shape[1],width=input.shape[2],pose=await decodePose.decodeSinglePose(res.heatmapScores,res.offsets,config2),poses=[pose],scaled=util.scaleAndFlipPoses(poses,[height,width],[config2.body.inputSize,config2.body.inputSize]);resolve(scaled)})}var PoseNet=class{constructor(model){this.baseModel=model}async estimatePoses(input,config2){let resized=util.resizeTo(input,[config2.body.inputSize,config2.body.inputSize]),res=this.baseModel.predict(resized,config2),poses=config2.body.maxDetections<2?await estimateSingle(input,res,config2):await estimateMultiple(input,res,config2);return res.heatmapScores.dispose(),res.offsets.dispose(),res.displacementFwd.dispose(),res.displacementBwd.dispose(),resized.dispose(),poses}dispose(){this.baseModel.dispose()}};exports2.PoseNet=PoseNet;async function load2(config2){let model=await tf4.loadGraphModel(config2.body.modelPath),mobilenet=new modelBase.BaseModel(model);return log(`load model: ${config2.body.modelPath.match(/\/(.*)\./)[1]}`),new PoseNet(mobilenet)}exports2.load=load2}),require_posenet=__commonJS(exports2=>{var modelPoseNet=__toModule(require_modelPoseNet()),keypoints=__toModule(require_keypoints()),util=__toModule(require_util2());exports2.load=modelPoseNet.load;exports2.PoseNet=modelPoseNet.PoseNet;exports2.partChannels=keypoints.partChannels;exports2.partIds=keypoints.partIds;exports2.partNames=keypoints.partNames;exports2.poseChain=keypoints.poseChain;exports2.getAdjacentKeyPoints=util.getAdjacentKeyPoints;exports2.getBoundingBox=util.getBoundingBox;exports2.getBoundingBoxPoints=util.getBoundingBoxPoints;exports2.scaleAndFlipPoses=util.scaleAndFlipPoses;exports2.scalePose=util.scalePose}),require_handdetector=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm());var HandDetector=class{constructor(model,inputSize,anchorsAnnotated){this.model=model,this.anchors=anchorsAnnotated.map(anchor=>[anchor.x_center,anchor.y_center]),this.anchorsTensor=tf4.tensor2d(this.anchors),this.inputSizeTensor=tf4.tensor1d([inputSize,inputSize]),this.doubleInputSizeTensor=tf4.tensor1d([inputSize*2,inputSize*2])}normalizeBoxes(boxes){return tf4.tidy(()=>{let boxOffsets=tf4.slice(boxes,[0,0],[-1,2]),boxSizes=tf4.slice(boxes,[0,2],[-1,2]),boxCenterPoints=tf4.add(tf4.div(boxOffsets,this.inputSizeTensor),this.anchorsTensor),halfBoxSizes=tf4.div(boxSizes,this.doubleInputSizeTensor),startPoints=tf4.mul(tf4.sub(boxCenterPoints,halfBoxSizes),this.inputSizeTensor),endPoints=tf4.mul(tf4.add(boxCenterPoints,halfBoxSizes),this.inputSizeTensor);return tf4.concat2d([startPoints,endPoints],1)})}normalizeLandmarks(rawPalmLandmarks,index){return tf4.tidy(()=>{let landmarks=tf4.add(tf4.div(rawPalmLandmarks.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[index]);return tf4.mul(landmarks,this.inputSizeTensor)})}async getBoxes(input,config2){let batched=this.model.predict(input),predictions=batched.squeeze();batched.dispose();let scoresT=tf4.tidy(()=>tf4.sigmoid(tf4.slice(predictions,[0,0],[-1,1])).squeeze()),scores=scoresT.dataSync(),rawBoxes=tf4.slice(predictions,[0,1],[-1,4]),boxes=this.normalizeBoxes(rawBoxes);rawBoxes.dispose();let filteredT=await tf4.image.nonMaxSuppressionAsync(boxes,scores,config2.hand.maxHands,config2.hand.iouThreshold,config2.hand.scoreThreshold),filtered=filteredT.arraySync();scoresT.dispose(),filteredT.dispose();let hands=[];for(let index of filtered)if(scores[index]>=config2.hand.minConfidence){let matchingBox=tf4.slice(boxes,[index,0],[1,-1]),rawPalmLandmarks=tf4.slice(predictions,[index,5],[1,14]),palmLandmarks=tf4.tidy(()=>this.normalizeLandmarks(rawPalmLandmarks,index).reshape([-1,2]));rawPalmLandmarks.dispose(),hands.push({box:matchingBox,palmLandmarks,confidence:scores[index]})}return predictions.dispose(),boxes.dispose(),hands}async estimateHandBounds(input,config2){let inputHeight=input.shape[1],inputWidth=input.shape[2],image4=tf4.tidy(()=>input.resizeBilinear([config2.hand.inputSize,config2.hand.inputSize]).div(127.5).sub(1)),predictions=await this.getBoxes(image4,config2);image4.dispose();let hands=[];if(!predictions||predictions.length===0)return hands;for(let prediction of predictions){let boxes=prediction.box.dataSync(),startPoint=boxes.slice(0,2),endPoint=boxes.slice(2,4),palmLandmarks=prediction.palmLandmarks.arraySync();prediction.box.dispose(),prediction.palmLandmarks.dispose(),hands.push(scaleBoxCoordinates({startPoint,endPoint,palmLandmarks,confidence:prediction.confidence},[inputWidth/config2.hand.inputSize,inputHeight/config2.hand.inputSize]))}return hands}};exports2.HandDetector=HandDetector}),require_handpipeline=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm());var PALM_BOX_ENLARGE_FACTOR=5,HAND_BOX_ENLARGE_FACTOR=1.65,PALM_LANDMARK_IDS=[0,5,9,13,17,1,2],PALM_LANDMARKS_INDEX_OF_PALM_BASE=0,PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE=2,HandPipeline=class{constructor(handDetector,landmarkDetector,inputSize){this.handDetector=handDetector,this.landmarkDetector=landmarkDetector,this.inputSize=inputSize,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(palmLandmarks,rotationMatrix){let rotatedPalmLandmarks=palmLandmarks.map(coord=>rotatePoint([...coord,1],rotationMatrix)),boxAroundPalm=this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);return enlargeBox(squarifyBox(boxAroundPalm),PALM_BOX_ENLARGE_FACTOR)}getBoxForHandLandmarks(landmarks){let boundingBox=this.calculateLandmarksBoundingBox(landmarks),boxAroundHand=enlargeBox(squarifyBox(boundingBox),HAND_BOX_ENLARGE_FACTOR);boxAroundHand.palmLandmarks=[];for(let i=0;i<PALM_LANDMARK_IDS.length;i++)boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0,2));return boxAroundHand}transformRawCoords(rawCoords,box2,angle,rotationMatrix){let boxSize=getBoxSize(box2),scaleFactor=[boxSize[0]/this.inputSize,boxSize[1]/this.inputSize,(boxSize[0]+boxSize[1])/this.inputSize/2],coordsScaled=rawCoords.map(coord=>[scaleFactor[0]*(coord[0]-this.inputSize/2),scaleFactor[1]*(coord[1]-this.inputSize/2),scaleFactor[2]*coord[2]]),coordsRotationMatrix=buildRotationMatrix(angle,[0,0]),coordsRotated=coordsScaled.map(coord=>{let rotated=rotatePoint(coord,coordsRotationMatrix);return[...rotated,coord[2]]}),inverseRotationMatrix=invertTransformMatrix(rotationMatrix),boxCenter=[...getBoxCenter(box2),1],originalBoxCenter=[dot(boxCenter,inverseRotationMatrix[0]),dot(boxCenter,inverseRotationMatrix[1])];return coordsRotated.map(coord=>[coord[0]+originalBoxCenter[0],coord[1]+originalBoxCenter[1],coord[2]])}async estimateHands(image4,config2){let useFreshBox=!1,boxes;(this.skipped===0||this.skipped>config2.hand.skipFrames||!config2.hand.landmarks||!config2.videoOptimized)&&(boxes=await this.handDetector.estimateHandBounds(image4,config2),this.skipped=0),config2.videoOptimized&&this.skipped++,boxes&&boxes.length>0&&(boxes.length!==this.detectedHands&&this.detectedHands!==config2.hand.maxHands||!config2.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...boxes],this.storedBoxes.length>0&&(useFreshBox=!0));let hands=[];for(let i=0;i<this.storedBoxes.length;i++){let currentBox=this.storedBoxes[i];if(!currentBox)continue;if(config2.hand.landmarks){let angle=config2.hand.rotation?computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE],currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]):0,palmCenter=getBoxCenter(currentBox),palmCenterNormalized=[palmCenter[0]/image4.shape[2],palmCenter[1]/image4.shape[1]],rotatedImage=config2.hand.rotation?tf4.image.rotateWithOffset(image4,angle,0,palmCenterNormalized):image4.clone(),rotationMatrix=buildRotationMatrix(-angle,palmCenter),newBox=useFreshBox?this.getBoxForPalmLandmarks(currentBox.palmLandmarks,rotationMatrix):currentBox,croppedInput=cutBoxFromImageAndResize(newBox,rotatedImage,[this.inputSize,this.inputSize]),handImage=croppedInput.div(255);croppedInput.dispose(),rotatedImage.dispose();let[confidenceT,keypoints]=await this.landmarkDetector.predict(handImage);handImage.dispose();let confidence=confidenceT.dataSync()[0];if(confidenceT.dispose(),confidence>=config2.hand.minConfidence){let keypointsReshaped=tf4.reshape(keypoints,[-1,3]),rawCoords=keypointsReshaped.arraySync();keypoints.dispose(),keypointsReshaped.dispose();let coords=this.transformRawCoords(rawCoords,newBox,angle,rotationMatrix),nextBoundingBox=this.getBoxForHandLandmarks(coords);this.storedBoxes[i]=nextBoundingBox;let result={landmarks:coords,confidence,box:{topLeft:nextBoundingBox.startPoint,bottomRight:nextBoundingBox.endPoint}};hands.push(result)}else this.storedBoxes[i]=null;keypoints.dispose()}else{let enlarged=enlargeBox(squarifyBox(currentBox),HAND_BOX_ENLARGE_FACTOR),result={confidence:currentBox.confidence,box:{topLeft:enlarged.startPoint,bottomRight:enlarged.endPoint}};hands.push(result)}}return this.storedBoxes=this.storedBoxes.filter(a=>a!==null),this.detectedHands=hands.length,hands}calculateLandmarksBoundingBox(landmarks){let 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HandPose(handPipeline);return config2.hand.enabled&&log(`load model: ${config2.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),config2.hand.landmarks&&log(`load model: ${config2.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),handPose}exports2.load=load2}),require_gesture=__commonJS(exports2=>{exports2.body=res=>{if(!res)return[];let gestures=[];for(let i=0;i<res.length;i++){let leftWrist=res[i].keypoints.find(a=>a.part==="leftWrist"),rightWrist=res[i].keypoints.find(a=>a.part==="rightWrist"),nose=res[i].keypoints.find(a=>a.part==="nose");nose&&leftWrist&&rightWrist&&leftWrist.position.y<nose.position.y&&rightWrist.position.y<nose.position.y?gestures.push({body:i,gesture:"i give up"}):nose&&leftWrist&&leftWrist.position.y<nose.position.y?gestures.push({body:i,gesture:"raise left hand"}):nose&&rightWrist&&rightWrist.position.y<nose.position.y&&gestures.push({body:i,gesture:"raise right hand"});let leftShoulder=res[i].keypoints.find(a=>a.part==="leftShoulder"),rightShoulder=res[i].keypoints.find(a=>a.part==="rightShoulder");leftShoulder&&rightShoulder&&gestures.push({body:i,gesture:`leaning ${leftShoulder.position.y>rightShoulder.position.y?"left":"right"}`})}return gestures};exports2.face=res=>{if(!res)return[];let gestures=[];for(let i=0;i<res.length;i++)if(res[i].mesh&&res[i].mesh.length>0){let eyeFacing=res[i].mesh[35][2]-res[i].mesh[263][2];Math.abs(eyeFacing)<10?gestures.push({face:i,gesture:"facing camera"}):gestures.push({face:i,gesture:`facing ${eyeFacing<0?"right":"left"}`});let openLeft=Math.abs(res[i].mesh[374][1]-res[i].mesh[386][1])/Math.abs(res[i].mesh[443][1]-res[i].mesh[450][1]);openLeft<.2&&gestures.push({face:i,gesture:"blink left eye"});let openRight=Math.abs(res[i].mesh[145][1]-res[i].mesh[159][1])/Math.abs(res[i].mesh[223][1]-res[i].mesh[230][1]);openRight<.2&&gestures.push({face:i,gesture:"blink right eye"});let mouthOpen=Math.min(100,500*Math.abs(res[i].mesh[13][1]-res[i].mesh[14][1])/Math.abs(res[i].mesh[10][1]-res[i].mesh[152][1]));mouthOpen>10&&gestures.push({face:i,gesture:`mouth ${Math.trunc(mouthOpen)}% open`});let chinDepth=res[i].mesh[152][2];Math.abs(chinDepth)>10&&gestures.push({face:i,gesture:`head ${chinDepth<0?"up":"down"}`})}return gestures};exports2.hand=res=>{if(!res)return[];let gestures=[];for(let i=0;i<res.length;i++){let fingers=[];for(let[finger,pos]of Object.entries(res[i].annotations))finger!=="palmBase"&&fingers.push({name:finger.toLowerCase(),position:pos[0]});if(fingers&&fingers.length>0){let closest=fingers.reduce((best,a)=>best.position[2]<a.position[2]?best:a),highest=fingers.reduce((best,a)=>best.position[1]<a.position[1]?best:a);gestures.push({hand:i,gesture:`${closest.name} forward ${highest.name} up`})}}return gestures}}),require_imagefx=__commonJS(exports2=>{var WebGLProgram=function(gl,vertexSource,fragmentSource){let _collect=function(source,prefix,collection){let r=new RegExp("\\b"+prefix+" \\w+ (\\w+)","ig");source.replace(r,(match,name)=>(collection[name]=0,match))},_compile=function(source,type){let shader=gl.createShader(type);if(gl.shaderSource(shader,source),gl.compileShader(shader),!gl.getShaderParameter(shader,gl.COMPILE_STATUS))throw new Error("Filter: GL compile failed",gl.getShaderInfoLog(shader));return shader};this.uniform={},this.attribute={};let _vsh=_compile(vertexSource,gl.VERTEX_SHADER),_fsh=_compile(fragmentSource,gl.FRAGMENT_SHADER);if(this.id=gl.createProgram(),gl.attachShader(this.id,_vsh),gl.attachShader(this.id,_fsh),gl.linkProgram(this.id),!gl.getProgramParameter(this.id,gl.LINK_STATUS))throw new Error("Filter: GL link failed",gl.getProgramInfoLog(this.id));gl.useProgram(this.id),_collect(vertexSource,"attribute",this.attribute);for(let a in this.attribute)this.attribute[a]=gl.getAttribLocation(this.id,a);_collect(vertexSource,"uniform",this.uniform),_collect(fragmentSource,"uniform",this.uniform);for(let u in this.uniform)this.uniform[u]=gl.getUniformLocation(this.id,u)},WebGLImageFilter=function(params){params||(params={});let _drawCount=0,_sourceTexture=null,_lastInChain=!1,_currentFramebufferIndex=-1,_tempFramebuffers=[null,null],_filterChain=[],_width=-1,_height=-1,_vertexBuffer=null,_currentProgram=null,_canvas=params.canvas||document.createElement("canvas"),_shaderProgramCache={},gl=_canvas.getContext("webgl");if(!gl)throw new Error("Filter: getContext() failed");this.addFilter=function(name){let args=Array.prototype.slice.call(arguments,1),filter=_filter[name];_filterChain.push({func:filter,args})},this.reset=function(){_filterChain=[]},this.apply=function(image3){if(_resize(image3.width,image3.height),_drawCount=0,_sourceTexture||(_sourceTexture=gl.createTexture()),gl.bindTexture(gl.TEXTURE_2D,_sourceTexture),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.NEAREST),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.NEAREST),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,gl.RGBA,gl.UNSIGNED_BYTE,image3),_filterChain.length===0)return _draw(),_canvas;for(let i=0;i<_filterChain.length;i++){_lastInChain=i===_filterChain.length-1;let f=_filterChain[i];f.func.apply(this,f.args||[])}return _canvas};let _resize=function(width,height){if(width===_width&&height===_height)return;if(_canvas.width=width,_width=width,_canvas.height=height,_height=height,!_vertexBuffer){let vertices=new Float32Array([-1,-1,0,1,1,-1,1,1,-1,1,0,0,-1,1,0,0,1,-1,1,1,1,1,1,0]);_vertexBuffer=gl.createBuffer(),gl.bindBuffer(gl.ARRAY_BUFFER,_vertexBuffer),gl.bufferData(gl.ARRAY_BUFFER,vertices,gl.STATIC_DRAW),gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0)}gl.viewport(0,0,_width,_height),_tempFramebuffers=[null,null]},_getTempFramebuffer=function(index){return _tempFramebuffers[index]=_tempFramebuffers[index]||_createFramebufferTexture(_width,_height),_tempFramebuffers[index]},_createFramebufferTexture=function(width,height){let fbo=gl.createFramebuffer();gl.bindFramebuffer(gl.FRAMEBUFFER,fbo);let renderbuffer=gl.createRenderbuffer();gl.bindRenderbuffer(gl.RENDERBUFFER,renderbuffer);let texture=gl.createTexture();return gl.bindTexture(gl.TEXTURE_2D,texture),gl.texImage2D(gl.TEXTURE_2D,0,gl.RGBA,width,height,0,gl.RGBA,gl.UNSIGNED_BYTE,null),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MAG_FILTER,gl.LINEAR),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_MIN_FILTER,gl.LINEAR),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_S,gl.CLAMP_TO_EDGE),gl.texParameteri(gl.TEXTURE_2D,gl.TEXTURE_WRAP_T,gl.CLAMP_TO_EDGE),gl.framebufferTexture2D(gl.FRAMEBUFFER,gl.COLOR_ATTACHMENT0,gl.TEXTURE_2D,texture,0),gl.bindTexture(gl.TEXTURE_2D,null),gl.bindFramebuffer(gl.FRAMEBUFFER,null),{fbo,texture}},_draw=function(flags){let source=null,target=null,flipY=!1;_drawCount===0?source=_sourceTexture:source=_getTempFramebuffer(_currentFramebufferIndex).texture,_drawCount++,_lastInChain&&!(flags&DRAW.INTERMEDIATE)?(target=null,flipY=_drawCount%2===0):(_currentFramebufferIndex=(_currentFramebufferIndex+1)%2,target=_getTempFramebuffer(_currentFramebufferIndex).fbo),gl.bindTexture(gl.TEXTURE_2D,source),gl.bindFramebuffer(gl.FRAMEBUFFER,target),gl.uniform1f(_currentProgram.uniform.flipY,flipY?-1:1),gl.drawArrays(gl.TRIANGLES,0,6)},_compileShader=function(fragmentSource){if(_shaderProgramCache[fragmentSource])return _currentProgram=_shaderProgramCache[fragmentSource],gl.useProgram(_currentProgram.id),_currentProgram;_currentProgram=new WebGLProgram(gl,SHADER.VERTEX_IDENTITY,fragmentSource);let floatSize=Float32Array.BYTES_PER_ELEMENT,vertSize=4*floatSize;return gl.enableVertexAttribArray(_currentProgram.attribute.pos),gl.vertexAttribPointer(_currentProgram.attribute.pos,2,gl.FLOAT,!1,vertSize,0*floatSize),gl.enableVertexAttribArray(_currentProgram.attribute.uv),gl.vertexAttribPointer(_currentProgram.attribute.uv,2,gl.FLOAT,!1,vertSize,2*floatSize),_shaderProgramCache[fragmentSource]=_currentProgram,_currentProgram},DRAW={INTERMEDIATE:1},SHADER={};SHADER.VERTEX_IDENTITY=["precision highp float;","attribute vec2 pos;","attribute vec2 uv;","varying vec2 vUv;","uniform float flipY;","void main(void) {","vUv = uv;","gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);","}"].join(`
`),SHADER.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join(`
`);let _filter={};_filter.colorMatrix=function(matrix){let m=new Float32Array(matrix);m[4]/=255,m[9]/=255,m[14]/=255,m[19]/=255;let shader=m[18]===1&&m[3]===0&&m[8]===0&&m[13]===0&&m[15]===0&&m[16]===0&&m[17]===0&&m[19]===0?_filter.colorMatrix.SHADER.WITHOUT_ALPHA:_filter.colorMatrix.SHADER.WITH_ALPHA,program=_compileShader(shader);gl.uniform1fv(program.uniform.m,m),_draw()},_filter.colorMatrix.SHADER={},_filter.colorMatrix.SHADER.WITH_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];","gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];","}"].join(`
`),_filter.colorMatrix.SHADER.WITHOUT_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];","gl_FragColor.a = c.a;","}"].join(`
`),_filter.brightness=function(brightness){let b=(brightness||0)+1;_filter.colorMatrix([b,0,0,0,0,0,b,0,0,0,0,0,b,0,0,0,0,0,1,0])},_filter.saturation=function(amount){let x=(amount||0)*2/3+1,y=(x-1)*-.5;_filter.colorMatrix([x,y,y,0,0,y,x,y,0,0,y,y,x,0,0,0,0,0,1,0])},_filter.desaturate=function(){_filter.saturation(-1)},_filter.contrast=function(amount){let v=(amount||0)+1,o=-128*(v-1);_filter.colorMatrix([v,0,0,0,o,0,v,0,0,o,0,0,v,0,o,0,0,0,1,0])},_filter.negative=function(){_filter.contrast(-2)},_filter.hue=function(rotation){rotation=(rotation||0)/180*Math.PI;let cos=Math.cos(rotation),sin=Math.sin(rotation),lumR=.213,lumG=.715,lumB=.072;_filter.colorMatrix([lumR+cos*(1-lumR)+sin*-lumR,lumG+cos*-lumG+sin*-lumG,lumB+cos*-lumB+sin*(1-lumB),0,0,lumR+cos*-lumR+sin*.143,lumG+cos*(1-lumG)+sin*.14,lumB+cos*-lumB+sin*-.283,0,0,lumR+cos*-lumR+sin*-(1-lumR),lumG+cos*-lumG+sin*lumG,lumB+cos*(1-lumB)+sin*lumB,0,0,0,0,0,1,0])},_filter.desaturateLuminance=function(){_filter.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},_filter.sepia=function(){_filter.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},_filter.brownie=function(){_filter.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},_filter.vintagePinhole=function(){_filter.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},_filter.kodachrome=function(){_filter.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},_filter.technicolor=function(){_filter.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},_filter.polaroid=function(){_filter.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},_filter.shiftToBGR=function(){_filter.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},_filter.convolution=function(matrix){let m=new Float32Array(matrix),pixelSizeX=1/_width,pixelSizeY=1/_height,program=_compileShader(_filter.convolution.SHADER);gl.uniform1fv(program.uniform.m,m),gl.uniform2f(program.uniform.px,pixelSizeX,pixelSizeY),_draw()},_filter.convolution.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","uniform float m[9];","void main(void) {","vec4 c11 = texture2D(texture, vUv - px);","vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));","vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));","vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );","vec4 c22 = texture2D(texture, vUv);","vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );","vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );","vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );","vec4 c33 = texture2D(texture, vUv + px );","gl_FragColor = ","c11 * m[0] + c12 * m[1] + c22 * m[2] +","c21 * m[3] + c22 * m[4] + c23 * m[5] +","c31 * m[6] + c32 * m[7] + c33 * m[8];","gl_FragColor.a = c22.a;","}"].join(`
`),_filter.detectEdges=function(){_filter.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},_filter.sobelX=function(){_filter.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},_filter.sobelY=function(){_filter.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},_filter.sharpen=function(amount){let a=amount||1;_filter.convolution.call(this,[0,-1*a,0,-1*a,1+4*a,-1*a,0,-1*a,0])},_filter.emboss=function(size){let s=size||1;_filter.convolution.call(this,[-2*s,-1*s,0,-1*s,1,1*s,0,1*s,2*s])},_filter.blur=function(size){let blurSizeX=size/7/_width,blurSizeY=size/7/_height,program=_compileShader(_filter.blur.SHADER);gl.uniform2f(program.uniform.px,0,blurSizeY),_draw(DRAW.INTERMEDIATE),gl.uniform2f(program.uniform.px,blurSizeX,0),_draw()},_filter.blur.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","void main(void) {","gl_FragColor = vec4(0.0);","gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;","gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv )*0.159576912161;","gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;","}"].join(`
`),_filter.pixelate=function(size){let blurSizeX=size/_width,blurSizeY=size/_height,program=_compileShader(_filter.pixelate.SHADER);gl.uniform2f(program.uniform.size,blurSizeX,blurSizeY),_draw()},_filter.pixelate.SHADER=["precision highp float;","varying vec2 vUv;","uniform vec2 size;","uniform sampler2D texture;","vec2 pixelate(vec2 coord, vec2 size) {","return floor( coord / size ) * size;","}","void main(void) {","gl_FragColor = vec4(0.0);","vec2 coord = pixelate(vUv, size);","gl_FragColor += texture2D(texture, coord);","}"].join(`
`)};exports2.Canvas=WebGLImageFilter}),require_image=__commonJS(exports2=>{var tf4=__toModule(require_tfjs_esm()),fxImage=__toModule(require_imagefx()),inCanvas=null,outCanvas=null;function process3(input,config2){let tensor;if(input instanceof tf4.Tensor)tensor=tf4.clone(input);else{let originalWidth=input.naturalWidth||input.videoWidth||input.width||input.shape&&input.shape[1]>0,originalHeight=input.naturalHeight||input.videoHeight||input.height||input.shape&&input.shape[2]>0,targetWidth=originalWidth,targetHeight=originalHeight;if(config2.filter.width>0?targetWidth=config2.filter.width:config2.filter.height>0&&(targetWidth=originalWidth*(config2.filter.height/originalHeight)),config2.filter.height>0?targetHeight=config2.filter.height:config2.filter.width>0&&(targetHeight=originalHeight*(config2.filter.width/originalWidth)),!targetWidth||!targetHeight)return log("Human: invalid input",input),null;(!inCanvas||inCanvas.width!==targetWidth||inCanvas.height!==targetHeight)&&(inCanvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(targetWidth,targetHeight):document.createElement("canvas"),inCanvas.width!==targetWidth&&(inCanvas.width=targetWidth),inCanvas.height!==targetHeight&&(inCanvas.height=targetHeight));let ctx=inCanvas.getContext("2d");if(input instanceof ImageData?ctx.putImageData(input,0,0):ctx.drawImage(input,0,0,originalWidth,originalHeight,0,0,inCanvas.width,inCanvas.height),config2.filter.enabled){(!this.fx||!outCanvas||inCanvas.width!==outCanvas.width||inCanvas.height!==outCanvas.height)&&(outCanvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(inCanvas.width,inCanvas.height):document.createElement("canvas"),outCanvas.width!==inCanvas.width&&(outCanvas.width=inCanvas.width),outCanvas.height!==inCanvas.height&&(outCanvas.height=inCanvas.height),this.fx=tf4.ENV.flags.IS_BROWSER?new fxImage.Canvas({canvas:outCanvas}):null),this.fx.reset(),this.fx.addFilter("brightness",config2.filter.brightness),config2.filter.contrast!==0&&this.fx.addFilter("contrast",config2.filter.contrast),config2.filter.sharpness!==0&&this.fx.addFilter("sharpen",config2.filter.sharpness),config2.filter.blur!==0&&this.fx.addFilter("blur",config2.filter.blur),config2.filter.saturation!==0&&this.fx.addFilter("saturation",config2.filter.saturation),config2.filter.hue!==0&&this.fx.addFilter("hue",config2.filter.hue),config2.filter.negative&&this.fx.addFilter("negative"),config2.filter.sepia&&this.fx.addFilter("sepia"),config2.filter.vintage&&this.fx.addFilter("brownie"),config2.filter.sepia&&this.fx.addFilter("sepia"),config2.filter.kodachrome&&this.fx.addFilter("kodachrome"),config2.filter.technicolor&&this.fx.addFilter("technicolor"),config2.filter.polaroid&&this.fx.addFilter("polaroid"),config2.filter.pixelate!==0&&this.fx.addFilter("pixelate",config2.filter.pixelate),this.fx.apply(inCanvas);let gl=!1;if(gl){let glBuffer=new Uint8Array(outCanvas.width*outCanvas.height*4),pixBuffer=new Uint8Array(outCanvas.width*outCanvas.height*3);gl.readPixels(0,0,outCanvas.width,outCanvas.height,gl.RGBA,gl.UNSIGNED_BYTE,glBuffer);let i=0;for(let y=outCanvas.height-1;y>=0;y--)for(let x=0;x<outCanvas.width;x++){let index=(x+y*outCanvas.width)*4;pixBuffer[i++]=glBuffer[index+0],pixBuffer[i++]=glBuffer[index+1],pixBuffer[i++]=glBuffer[index+2]}outCanvas.data=pixBuffer}}else outCanvas=inCanvas;let pixels;if(outCanvas.data){let shape=[outCanvas.height,outCanvas.width,3];pixels=tf4.tensor3d(outCanvas.data,shape,"int32")}else if(config2.backend==="webgl"||outCanvas instanceof ImageData)pixels=tf4.browser.fromPixels(outCanvas);else{let tempCanvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(targetWidth,targetHeight):document.createElement("canvas");tempCanvas.width=targetWidth,tempCanvas.height=targetHeight;let tempCtx=tempCanvas.getContext("2d");tempCtx.drawImage(outCanvas,0,0);let data2=tempCtx.getImageData(0,0,targetWidth,targetHeight);pixels=tf4.browser.fromPixels(data2)}let casted=pixels.toFloat();tensor=casted.expandDims(0),pixels.dispose(),casted.dispose()}return{tensor,canvas:config2.filter.return?outCanvas:null}}exports2.process=process3});__export(exports,{default:()=>Human});function log(...msg){let dt=new Date,ts=`${dt.getHours().toString().padStart(2,"0")}:${dt.getMinutes().toString().padStart(2,"0")}:${dt.getSeconds().toString().padStart(2,"0")}.${dt.getMilliseconds().toString().padStart(3,"0")}`;msg&&console.log(ts,"Human:",...msg)}var tf3=__toModule(require_tfjs_esm()),tf=__toModule(require_tfjs_esm()),config={name:"humangl",priority:99,canvas:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function register(){if(!tf.findBackend(config.name)){config.canvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(config.width,config.height):document.createElement("canvas");let gl=config.canvas.getContext("webgl2",config.webGLattr);tf.setWebGLContext(2,gl);let ctx=new tf.GPGPUContext(gl);tf.registerBackend(config.name,()=>new tf.MathBackendWebGL(ctx),config.priority);let kernels=tf.getKernelsForBackend("webgl");kernels.forEach(kernelConfig=>{let newKernelConfig={...kernelConfig,backendName:config.name};tf.registerKernel(newKernelConfig)}),tf.ENV.set("WEBGL_VERSION",2),tf.ENV.set("WEBGL_MAX_TEXTURE_SIZE",gl.getParameter(gl.MAX_TEXTURE_SIZE)),tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0)}}var facemesh=__toModule(require_facemesh()),age=__toModule(require_age()),gender=__toModule(require_gender()),emotion=__toModule(require_emotion()),embedding=__toModule(require_embedding()),posenet=__toModule(require_posenet()),tf2=__toModule(require_tfjs_esm());function getBoxSize(box){return[Math.abs(box.endPoint[0]-box.startPoint[0]),Math.abs(box.endPoint[1]-box.startPoint[1])]}function getBoxCenter(box){return[box.startPoint[0]+(box.endPoint[0]-box.startPoint[0])/2,box.startPoint[1]+(box.endPoint[1]-box.startPoint[1])/2]}function cutBoxFromImageAndResize(box,image3,cropSize){let h=image3.shape[1],w=image3.shape[2],boxes=[[box.startPoint[1]/h,box.startPoint[0]/w,box.endPoint[1]/h,box.endPoint[0]/w]];return tf2.image.cropAndResize(image3,boxes,[0],cropSize)}function scaleBoxCoordinates(box,factor){let startPoint=[box.startPoint[0]*factor[0],box.startPoint[1]*factor[1]],endPoint=[box.endPoint[0]*factor[0],box.endPoint[1]*factor[1]],palmLandmarks=box.palmLandmarks.map(coord=>{let scaledCoord=[coord[0]*factor[0],coord[1]*factor[1]];return scaledCoord});return{startPoint,endPoint,palmLandmarks,confidence:box.confidence}}function enlargeBox(box,factor=1.5){let center=getBoxCenter(box),size=getBoxSize(box),newHalfSize=[factor*size[0]/2,factor*size[1]/2],startPoint=[center[0]-newHalfSize[0],center[1]-newHalfSize[1]],endPoint=[center[0]+newHalfSize[0],center[1]+newHalfSize[1]];return{startPoint,endPoint,palmLandmarks:box.palmLandmarks}}function squarifyBox(box){let centers=getBoxCenter(box),size=getBoxSize(box),maxEdge=Math.max(...size),halfSize=maxEdge/2,startPoint=[centers[0]-halfSize,centers[1]-halfSize],endPoint=[centers[0]+halfSize,centers[1]+halfSize];return{startPoint,endPoint,palmLandmarks:box.palmLandmarks}}function normalizeRadians(angle){return angle-2*Math.PI*Math.floor((angle+Math.PI)/(2*Math.PI))}function computeRotation(point1,point2){let radians=Math.PI/2-Math.atan2(-(point2[1]-point1[1]),point2[0]-point1[0]);return normalizeRadians(radians)}var buildTranslationMatrix=(x,y)=>[[1,0,x],[0,1,y],[0,0,1]];function dot(v1,v2){let product=0;for(let i=0;i<v1.length;i++)product+=v1[i]*v2[i];return product}function getColumnFrom2DArr(arr,columnIndex){let column=[];for(let i=0;i<arr.length;i++)column.push(arr[i][columnIndex]);return column}function multiplyTransformMatrices(mat1,mat2){let product=[],size=mat1.length;for(let row=0;row<size;row++){product.push([]);for(let col=0;col<size;col++)product[row].push(dot(mat1[row],getColumnFrom2DArr(mat2,col)))}return product}function buildRotationMatrix(rotation,center){let cosA=Math.cos(rotation),sinA=Math.sin(rotation),rotationMatrix=[[cosA,-sinA,0],[sinA,cosA,0],[0,0,1]],translationMatrix=buildTranslationMatrix(center[0],center[1]),translationTimesRotation=multiplyTransformMatrices(translationMatrix,rotationMatrix),negativeTranslationMatrix=buildTranslationMatrix(-center[0],-center[1]);return multiplyTransformMatrices(translationTimesRotation,negativeTranslationMatrix)}function invertTransformMatrix(matrix){let rotationComponent=[[matrix[0][0],matrix[1][0]],[matrix[0][1],matrix[1][1]]],translationComponent=[matrix[0][2],matrix[1][2]],invertedTranslation=[-dot(rotationComponent[0],translationComponent),-dot(rotationComponent[1],translationComponent)];return[rotationComponent[0].concat(invertedTranslation[0]),rotationComponent[1].concat(invertedTranslation[1]),[0,0,1]]}function rotatePoint(homogeneousCoordinate,rotationMatrix){return[dot(homogeneousCoordinate,rotationMatrix[0]),dot(homogeneousCoordinate,rotationMatrix[1])]}var handpose=__toModule(require_handpose()),gesture=__toModule(require_gesture()),image2=__toModule(require_image()),profile=__toModule(require_profile()),config_exports={};__export(config_exports,{default:()=>config_default});var config_default={backend:"webgl",wasmPath:"../assets/",async:!0,profile:!1,deallocate:!1,scoped:!1,videoOptimized:!0,warmup:"face",filter:{enabled:!0,width:0,height:0,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"../models/blazeface-back.json",inputSize:256,rotation:!1,maxFaces:10,skipFrames:11,minConfidence:.5,iouThreshold:.2,scoreThreshold:.5},mesh:{enabled:!0,modelPath:"../models/facemesh.json",inputSize:192,returnRawData:!1},iris:{enabled:!0,modelPath:"../models/iris.json",inputSize:64},age:{enabled:!0,modelPath:"../models/age-ssrnet-imdb.json",inputSize:64,skipFrames:31},gender:{enabled:!0,minConfidence:.1,modelPath:"../models/gender-ssrnet-imdb.json",inputSize:64,skipFrames:41},emotion:{enabled:!0,inputSize:64,minConfidence:.2,skipFrames:21,modelPath:"../models/emotion-large.json"},embedding:{enabled:!1,inputSize:112,modelPath:"../models/mobilefacenet.json"}},body:{enabled:!0,modelPath:"../models/posenet.json",inputSize:257,maxDetections:10,scoreThreshold:.5,nmsRadius:20,outputStride:16,modelType:"MobileNet"},hand:{enabled:!0,rotation:!1,inputSize:256,skipFrames:12,minConfidence:.1,iouThreshold:.1,scoreThreshold:.5,maxHands:1,landmarks:!0,detector:{modelPath:"../models/handdetect.json"},skeleton:{modelPath:"../models/handskeleton.json"}}},face=`
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2Q==`;var version="0.9.18",now=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function mergeDeep(...objects){let isObject=obj=>obj&&typeof obj=="object";return objects.reduce((prev,obj)=>(Object.keys(obj||{}).forEach(key=>{let pVal=prev[key],oVal=obj[key];Array.isArray(pVal)&&Array.isArray(oVal)?prev[key]=pVal.concat(...oVal):isObject(pVal)&&isObject(oVal)?prev[key]=mergeDeep(pVal,oVal):prev[key]=oVal}),prev),{})}var Human=class{constructor(userConfig={}){this.tf=tf3,this.version=version,this.config=mergeDeep(config_default,userConfig),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=facemesh,this.age=age,this.gender=gender,this.emotion=emotion,this.body=posenet,this.hand=handpose}profile(){return this.config.profile?profile.data:{}}analyze(...msg){if(!this.analyzeMemoryLeaks)return;let current=tf3.engine().state.numTensors,previous=this.numTensors;this.numTensors=current;let leaked=current-previous;leaked!==0&&log(...msg,leaked)}sanity(input){if(!this.checkSanity)return null;if(!input)return"input is not defined";if(tf3.ENV.flags.IS_NODE&&!(input instanceof tf3.Tensor))return"input must be a tensor";try{tf3.getBackend()}catch(e){return"backend not loaded"}return null}simmilarity(embedding1,embedding2){return this.config.face.embedding.enabled?embedding.simmilarity(embedding1,embedding2):0}async load(userConfig){this.state="load";let timeStamp=now();userConfig&&(this.config=mergeDeep(this.config,userConfig)),this.firstRun&&(log(`version: ${this.version} TensorFlow/JS version: ${tf3.version_core}`),await this.checkBackend(!0),tf3.ENV.flags.IS_BROWSER&&(log("configuration:",this.config),log("tf flags:",tf3.ENV.flags)),this.firstRun=!1),this.config.async?[this.models.facemesh,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.facemesh||(this.config.face.enabled?facemesh.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?age.load(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?gender.load(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?emotion.load(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?embedding.load(this.config):null),this.models.posenet||(this.config.body.enabled?posenet.load(this.config):null),this.models.handpose||(this.config.hand.enabled?handpose.load(this.config):null)]):(this.config.face.enabled&&!this.models.facemesh&&(this.models.facemesh=await facemesh.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await age.load(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await gender.load(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await emotion.load(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await embedding.load(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await posenet.load(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await handpose.load(this.config)));let current=Math.trunc(now()-timeStamp);current>(this.perf.load||0)&&(this.perf.load=current)}async checkBackend(force){if(this.config.backend&&this.config.backend!==""&&force||tf3.getBackend()!==this.config.backend){let timeStamp=now();if(this.state="backend",log("setting backend:",this.config.backend),this.config.backend==="wasm"){log("settings wasm path:",this.config.wasmPath),tf3.setWasmPaths(this.config.wasmPath);let simd=await tf3.env().getAsync("WASM_HAS_SIMD_SUPPORT");simd||log("warning: wasm simd support is not enabled")}if(this.config.backend==="humangl"&&(log("registering humangl backend"),register()),await tf3.setBackend(this.config.backend),tf3.enableProdMode(),tf3.getBackend()==="webgl"){this.config.deallocate&&(log("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tf3.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tf3.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),tf3.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let gl=await tf3.backend().getGPGPUContext().gl;log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`)}await tf3.ready(),this.perf.backend=Math.trunc(now()-timeStamp)}}async detectFace(input){let timeStamp,ageRes,genderRes,emotionRes,embeddingRes,faceRes=[];this.state="run:face",timeStamp=now();let faces=await this.models.facemesh.estimateFaces(input,this.config);this.perf.face=Math.trunc(now()-timeStamp);for(let face3 of faces){if(this.analyze("Get Face"),!face3.image||face3.image.isDisposedInternal){log("Face object is disposed:",face3.image);continue}this.analyze("Start Age:"),this.config.async?ageRes=this.config.face.age.enabled?age.predict(face3.image,this.config):{}:(this.state="run:age",timeStamp=now(),ageRes=this.config.face.age.enabled?await age.predict(face3.image,this.config):{},this.perf.age=Math.trunc(now()-timeStamp)),this.analyze("Start Gender:"),this.config.async?genderRes=this.config.face.gender.enabled?gender.predict(face3.image,this.config):{}:(this.state="run:gender",timeStamp=now(),genderRes=this.config.face.gender.enabled?await gender.predict(face3.image,this.config):{},this.perf.gender=Math.trunc(now()-timeStamp)),this.analyze("Start Emotion:"),this.config.async?emotionRes=this.config.face.emotion.enabled?emotion.predict(face3.image,this.config):{}:(this.state="run:emotion",timeStamp=now(),emotionRes=this.config.face.emotion.enabled?await emotion.predict(face3.image,this.config):{},this.perf.emotion=Math.trunc(now()-timeStamp)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?embeddingRes=this.config.face.embedding.enabled?embedding.predict(face3.image,this.config):{}:(this.state="run:embedding",timeStamp=now(),embeddingRes=this.config.face.embedding.enabled?await embedding.predict(face3.image,this.config):{},this.perf.embedding=Math.trunc(now()-timeStamp)),this.analyze("End Emotion:"),this.config.async&&([ageRes,genderRes,emotionRes,embeddingRes]=await Promise.all([ageRes,genderRes,emotionRes,embeddingRes])),this.analyze("Finish Face:"),face3.image.dispose();let irisSize=face3.annotations.leftEyeIris&&face3.annotations.rightEyeIris?11.7*Math.max(Math.abs(face3.annotations.leftEyeIris[3][0]-face3.annotations.leftEyeIris[1][0]),Math.abs(face3.annotations.rightEyeIris[4][1]-face3.annotations.rightEyeIris[2][1])):0;faceRes.push({confidence:face3.confidence,box:face3.box,mesh:face3.mesh,boxRaw:face3.boxRaw,meshRaw:face3.meshRaw,annotations:face3.annotations,age:ageRes.age,gender:genderRes.gender,genderConfidence:genderRes.confidence,emotion:emotionRes,embedding:embeddingRes,iris:irisSize!==0?Math.trunc(irisSize)/100:0}),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),faceRes}async image(input,userConfig={}){this.state="image",this.config=mergeDeep(this.config,userConfig);let process3=image2.process(input,this.config);return process3.tensor.dispose(),process3.canvas}async detect(input,userConfig={}){return new Promise(async resolve=>{this.state="config";let timeStamp;this.config=mergeDeep(this.config,userConfig),this.state="check";let error=this.sanity(input);error&&(log(error,input),resolve({error}));let poseRes,handRes,faceRes,timeStart=now();await this.checkBackend(),await this.load(),this.config.scoped&&tf3.engine().startScope(),this.analyze("Start Scope:"),timeStamp=now();let process3=image2.process(input,this.config);if(!process3||!process3.tensor){log("could not convert input to tensor"),resolve({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(now()-timeStamp),this.analyze("Get Image:"),this.config.async?(faceRes=this.config.face.enabled?this.detectFace(process3.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",timeStamp=now(),faceRes=this.config.face.enabled?await this.detectFace(process3.tensor):[],this.perf.face=Math.trunc(now()-timeStamp)),this.analyze("Start Body:"),this.config.async?(poseRes=this.config.body.enabled?this.models.posenet.estimatePoses(process3.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",timeStamp=now(),poseRes=this.config.body.enabled?await this.models.posenet.estimatePoses(process3.tensor,this.config):[],this.perf.body=Math.trunc(now()-timeStamp)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(handRes=this.config.hand.enabled?this.models.handpose.estimateHands(process3.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",timeStamp=now(),handRes=this.config.hand.enabled?await this.models.handpose.estimateHands(process3.tensor,this.config):[],this.perf.hand=Math.trunc(now()-timeStamp)),this.config.async&&([faceRes,poseRes,handRes]=await Promise.all([faceRes,poseRes,handRes])),process3.tensor.dispose(),this.config.scoped&&tf3.engine().endScope(),this.analyze("End Scope:");let gestureRes=[];this.config.gesture.enabled&&(timeStamp=now(),gestureRes=[...gesture.face(faceRes),...gesture.body(poseRes),...gesture.hand(handRes)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(now()-timeStamp)),this.perf.total=Math.trunc(now()-timeStart),this.state="idle",resolve({face:faceRes,body:poseRes,hand:handRes,gesture:gestureRes,performance:this.perf,canvas:process3.canvas})})}async warmup(userConfig){let b64toBlob=(base64,type="application/octet-stream")=>fetch(`data:${type};base64,${base64}`).then(res=>res.blob());userConfig&&(this.config=mergeDeep(this.config,userConfig));let video=this.config.videoOptimized;this.config.videoOptimized=!1;let blob;switch(this.config.warmup){case"face":blob=await b64toBlob(face);break;case"full":blob=await b64toBlob(body);break;default:blob=null}if(!blob)return null;let bitmap=await createImageBitmap(blob),t0=now(),warmup=await this.detect(bitmap,config_exports),t1=now();return bitmap.close(),log("Warmup",this.config.warmup,t1-t0,warmup),this.config.videoOptimized=video,warmup}};
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
//# sourceMappingURL=human.node.js.map
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