human/dist/human.node-gpu.js

839 lines
287 KiB
JavaScript

/*
Human
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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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.);
}
`;var xn=`
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];
}
`,cn=`
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;
}
`,dn=`
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);
}
`,fn=`
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;
}
`,mn=`
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); // top left
vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center
vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right
vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left
vec4 c22 = texture2D(texture, vUv); // mid center
vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right
vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left
vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center
vec4 c33 = texture2D(texture, vUv + px ); // bottom right
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;
}
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function Jn(e){var t;return T.initial&&(J0=null),J0?e.debug&&h("cached model:",J0.modelUrl):J0=await G((t=e.face.detector)==null?void 0:t.modelPath),me=J0.inputs[0].shape?J0.inputs[0].shape[2]:0,pt=I.scalar(me,"int32"),Un=I.tensor2d(Vn(me)),J0}function k2(e){let t={};t.boxStarts=I.slice(e,[0,1],[-1,2]),t.centers=I.add(t.boxStarts,Un),t.boxSizes=I.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=I.div(t.boxSizes,pt),t.centersNormalized=I.div(t.centers,pt),t.halfBoxSize=I.div(t.boxSizesNormalized,F.tf2),t.starts=I.sub(t.centersNormalized,t.halfBoxSize),t.ends=I.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=I.mul(t.starts,pt),t.endNormalized=I.mul(t.ends,pt);let o=I.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>I.dispose(t[n])),o}async function Yn(e,t){var a,y,c,i;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let 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Z5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],D5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var R0=V(H()),Qn=224,E2,z2=5,Ft=[8,16,32,32,32];async function _n(){let e=[],t=0;for(;t<z2;){let o=0,n=t;for(;n<Ft.length&&Ft[n]===Ft[t];)o+=2,n++;let A=Ft[t],r=Math.ceil(Qn/A),s=Math.ceil(Qn/A);for(let a=0;a<r;++a)for(let y=0;y<s;++y)for(let c=0;c<o;++c)e.push({x:(y+.5)/s,y:(a+.5)/r});t=n}E2={x:R0.tensor1d(e.map(o=>o.x)),y:R0.tensor1d(e.map(o=>o.y))}}function re(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],A=[Math.max(...o[0]),Math.max(...o[1])],r=[n[0],n[1],A[0]-n[0],A[1]-n[1]],s=[r[0]/t[0],r[1]/t[1],r[2]/t[0],r[3]/t[1]];return{box:r,boxRaw:s}}function $n(e,t=[1,1]){let o=[e.map(c=>c[0]),e.map(c=>c[1])],n=[Math.min(...o[0]),Math.min(...o[1])],A=[Math.max(...o[0]),Math.max(...o[1])],r=[(n[0]+A[0])/2,(n[1]+A[1])/2],s=Math.max(r[0]-n[0],r[1]-n[1],-r[0]+A[0],-r[1]+A[1]),a=[Math.trunc(r[0]-s),Math.trunc(r[1]-s),Math.trunc(2*s),Math.trunc(2*s)],y=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:y}}function Ht(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var oA={initial:!0},k0={detector:null,landmarks:null},He={detector:[224,224],landmarks:[256,256]},X5=Number.MAX_SAFE_INTEGER,S2={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Zt=null,ut,pe=[[0,0],[0,0],[0,0],[0,0]],eA=0,tA=e=>1-1/(1+Math.exp(e));async function nA(e){if(oA.initial&&(k0.detector=null),!k0.detector&&e.body.detector&&e.body.detector.modelPath){k0.detector=await G(e.body.detector.modelPath);let t=Object.values(k0.detector.modelSignature.inputs);He.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,He.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&k0.detector&&h("cached model:",k0.detector.modelUrl);return await _n(),k0.detector}async function AA(e){if(oA.initial&&(k0.landmarks=null),k0.landmarks)e.debug&&h("cached model:",k0.landmarks.modelUrl);else{k0.landmarks=await G(e.body.modelPath);let t=Object.values(k0.landmarks.modelSignature.inputs);He.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,He.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return k0.landmarks}async function C2(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(ut&&(o.cropped=E0.image.cropAndResize(e,[ut],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let A=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],r=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];pe=[[0,0],A,r,[0,0]],o.pad=E0.pad(o.cropped||e,pe),o.resize=E0.image.resizeBilinear(o.pad,[t,t]),n=E0.div(o.resize,F.tf255)}else e.shape[1]!==t?(o.resize=E0.image.resizeBilinear(o.cropped||e,[t,t]),n=E0.div(o.resize,F.tf255)):n=E0.div(o.cropped||e,F.tf255);return Object.keys(o).forEach(A=>E0.dispose(o[A])),n}function W2(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+pe[2][0]+pe[2][1])/t[0]-pe[2][0]),Math.trunc(o.position[1]*(t[1]+pe[1][0]+pe[1][1])/t[1]-pe[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(ut)for(let o of e)o.positionRaw=[o.positionRaw[0]+ut[1],o.positionRaw[1]+ut[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function O2(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let A=e.find(a=>a.part==="rightPalm"),r=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");A.position[2]=((r.position[2]||0)+(s.position[2]||0))/2}async function I2(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=k0.landmarks)==null?void 0:u.execute(e,S2.landmarks);let A=(await n.poseflag.data())[0],r=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(f=>E0.dispose(n[f]));let a=[],y=5;for(let f=0;f<r.length/y;f++){let M=tA(r[y*f+3]),g=tA(r[y*f+4]),p=Math.trunc(100*M*g*A)/100,m=[r[y*f+0]/He.landmarks[0],r[y*f+1]/He.landmarks[1],r[y*f+2]+0],P=[Math.trunc(o[0]*m[0]),Math.trunc(o[1]*m[1]),m[2]],w=[s[y*f+0],s[y*f+1],s[y*f+2]+0];a.push({part:Z5[f],positionRaw:m,position:P,distance:w,score:p})}if(A<(t.body.minConfidence||0))return null;O2(a);let c=W2(a,o),i=c.map(f=>f.position),l=re(i,[o[0],o[1]]),x={};for(let[f,M]of Object.entries(D5)){let g=[];for(let p=0;p<M.length-1;p++){let m=c.find(w=>w.part===M[p]),P=c.find(w=>w.part===M[p+1]);m&&P&&g.push([m.position,P.position])}x[f]=g}return{id:0,score:Math.trunc(100*A)/100,box:l.box,boxRaw:l.boxRaw,keypoints:c,annotations:x}}async function q5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>b()-eA,A=X5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&A&&Zt!==null)X5++;else{let r={};r.landmarks=await C2(e,256),Zt=await I2(r.landmarks,t,o),Object.keys(r).forEach(s=>E0.dispose(r[s])),eA=b(),X5=0}return Zt?[Zt]:[]}var g0=V(H());var Ve=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop sign"},{class:13,label:"parking 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i=Math.trunc(100*r[0][c][4])/100,l=r[0][c][5],x=Ve[l].label,[d,u]=[r[0][c][0]/ze,r[0][c][1]/ze],f=[d,u,r[0][c][2]/ze-d,r[0][c][3]/ze-u],M=[Math.trunc(f[0]*t[0]),Math.trunc(f[1]*t[1]),Math.trunc(f[2]*t[0]),Math.trunc(f[3]*t[1])];A.push({id:y++,score:i,class:l,label:x,box:M,boxRaw:f})}return Object.keys(n).forEach(c=>g0.dispose(n[c])),A}async function Y5(e,t){let o=(t.object.skipTime||0)>b()-sA,n=J5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&U5.length>0?(J5++,U5):(J5=0,new Promise(async A=>{let r=[e.shape[2]||0,e.shape[1]||0],s=g0.image.resizeBilinear(e,[ze,ze]),a=t.object.enabled?se==null?void 0:se.execute(s,["tower_0/detections"]):null;sA=b(),g0.dispose(s);let y=await L2(a,r,t);U5=y,A(y)}))}var K=V(H());var Dt={};Re(Dt,{connected:()=>Q5,kpt:()=>K5});var 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a=P0.keypoints.map(x=>x.position[0]),y=P0.keypoints.map(x=>x.position[1]);P0.box=[Math.min(...a),Math.min(...y),Math.max(...a)-Math.min(...a),Math.max(...y)-Math.min(...y)];let c=P0.keypoints.map(x=>x.positionRaw[0]),i=P0.keypoints.map(x=>x.positionRaw[1]);P0.boxRaw=[Math.min(...c),Math.min(...i),Math.max(...c)-Math.min(...c),Math.max(...i)-Math.min(...i)];for(let[x,d]of Object.entries(Q5)){let u=[];for(let f=0;f<d.length-1;f++){let M=P0.keypoints.find(p=>p.part===d[f]),g=P0.keypoints.find(p=>p.part===d[f+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}P0.annotations[x]=u}A([P0])}))}var F0=V(H());var B2=["angry","disgust","fear","happy","sad","surprise","neutral"],I0,Xt=[],cA=0,dA=0,eo=Number.MAX_SAFE_INTEGER;async function fA(e){var t;return T.initial&&(I0=null),I0?e.debug&&h("cached model:",I0.modelUrl):I0=await G((t=e.face.emotion)==null?void 0:t.modelPath),I0}async function to(e,t,o,n){var s,a;if(!I0)return[];let A=eo<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),r=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>b()-dA;return t.skipAllowed&&r&&A&&cA===n&&Xt[o]&&Xt[o].length>0?(eo++,Xt[o]):(eo=0,new Promise(async y=>{var i,l;let c=[];if((i=t.face.emotion)!=null&&i.enabled){let x={},d=I0!=null&&I0.inputs[0].shape?I0.inputs[0].shape[2]:0;x.resize=F0.image.resizeBilinear(e,[d,d],!1),x.channels=F0.mul(x.resize,F.rgb),x.grayscale=F0.sum(x.channels,3,!0),x.grayscaleSub=F0.sub(x.grayscale,F.tf05),x.grayscaleMul=F0.mul(x.grayscaleSub,F.tf2),x.emotion=I0==null?void 0:I0.execute(x.grayscaleMul),dA=b();let u=await x.emotion.data();for(let f=0;f<u.length;f++)u[f]>(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&c.push({score:Math.min(.99,Math.trunc(100*u[f])/100),emotion:B2[f]});c.sort((f,M)=>M.score-f.score),Object.keys(x).forEach(f=>F0.dispose(x[f]))}Xt[o]=c,cA=n,y(c)}))}var bA=V(H());var z0,oo=[],pA=0,uA=0,hA=Number.MAX_SAFE_INTEGER;async function gA(e){return T.initial&&(z0=null),z0?e.debug&&h("cached model:",z0.modelUrl):z0=await G(e.face.mobilefacenet.modelPath),z0}async function no(e,t,o,n){var s,a;if(!z0)return[];let A=hA<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),r=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>b()-uA;return t.skipAllowed&&r&&A&&pA===n&&oo[o]?(hA++,oo[o]):new Promise(async y=>{var i;let c=[];if(((i=t.face.embedding)==null?void 0:i.enabled)&&(z0==null?void 0:z0.inputs[0].shape)){let l={};l.crop=bA.image.resizeBilinear(e,[z0.inputs[0].shape[2],z0.inputs[0].shape[1]],!1),l.data=z0==null?void 0:z0.execute(l.crop);let x=await l.data.data();c=Array.from(x)}oo[o]=c,pA=n,uA=b(),y(c)})}var qe=V(H());var H0=V(H());var ae,ue=0,G2=2.3,Ao=G0.leftEyeLower0,ro=G0.rightEyeLower0,Ze={leftBounds:[Ao[0],Ao[Ao.length-1]],rightBounds:[ro[0],ro[ro.length-1]]},De={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function wA(e){var t;return T.initial&&(ae=null),ae?e.debug&&h("cached model:",ae.modelUrl):ae=await 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o={eyeL:t[0].dataSync(),eyeR:t[6].dataSync(),irisL:t[3].dataSync(),irisR:t[1].dataSync(),lips:t[5].dataSync()};for(let n=0;n<o.lips.length/2;n++)e.push([o.lips[2*n+0],o.lips[2*n+1],0]);for(let n=0;n<o.eyeL.length/2;n++)e.push([o.eyeL[2*n+0],o.eyeL[2*n+1],0]);for(let n=0;n<o.eyeR.length/2;n++)e.push([o.eyeR[2*n+0],o.eyeR[2*n+1],0]);for(let n=0;n<o.irisL.length/2;n++)e.push([o.irisL[2*n+0],o.irisL[2*n+1],0]);for(let n=0;n<o.irisR.length/2;n++)e.push([o.irisR[2*n+0],o.irisR[2*n+1],0]);return e}var Y0={boxes:[],skipped:Number.MAX_SAFE_INTEGER,timestamp:0},K0=null,Xe=0;async function zA(e,t){var a,y,c,i,l,x,d,u,f,M;let o=(((a=t.face.detector)==null?void 0:a.skipTime)||0)>b()-Y0.timestamp,n=Y0.skipped<(((y=t.face.detector)==null?void 0:y.skipFrames)||0);!t.skipAllowed||!o||!n||Y0.boxes.length===0?(Y0.boxes=await Yn(e,t),Y0.timestamp=b(),Y0.skipped=0):Y0.skipped++;let A=[],r=[],s=0;for(let g=0;g<Y0.boxes.length;g++){let 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n=t.shape[1],A=t.shape[2],r=[[e.startPoint[1]/n,e.startPoint[0]/A,e.endPoint[1]/n,e.endPoint[0]/A]];return BA.image.cropAndResize(t,r,[0],o)}function FA(e,t){let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],A=e.palmLandmarks.map(r=>[r[0]*t[0],r[1]*t[1]]);return{startPoint:o,endPoint:n,palmLandmarks:A,confidence:e.confidence}}function Yt(e,t=1.5){let o=ht(e),n=Jt(e),A=[t*n[0]/2,t*n[1]/2],r=[o[0]-A[0],o[1]-A[1]],s=[o[0]+A[0],o[1]+A[1]];return{startPoint:r,endPoint:s,palmLandmarks:e.palmLandmarks}}function Kt(e){let t=ht(e),o=Jt(e),A=Math.max(...o)/2,r=[t[0]-A,t[1]-A],s=[t[0]+A,t[1]+A];return{startPoint:r,endPoint:s,palmLandmarks:e.palmLandmarks}}function V2(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function HA(e,t){let o=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return V2(o)}var LA=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function he(e,t){let o=0;for(let n=0;n<e.length;n++)o+=e[n]*t[n];return o}function Z2(e,t){let o=[];for(let n=0;n<e.length;n++)o.push(e[n][t]);return o}function NA(e,t){let o=[],n=e.length;for(let A=0;A<n;A++){o.push([]);for(let r=0;r<n;r++)o[A].push(he(e[A],Z2(t,r)))}return o}function xo(e,t){let o=Math.cos(e),n=Math.sin(e),A=[[o,-n,0],[n,o,0],[0,0,1]],r=LA(t[0],t[1]),s=NA(r,A),a=LA(-t[0],-t[1]);return NA(s,a)}function VA(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],o=[e[0][2],e[1][2]],n=[-he(t[0],o),-he(t[1],o)];return[t[0].concat(n[0]),t[1].concat(n[1]),[0,0,1]]}function co(e,t){return[he(e,t[0]),he(e,t[1])]}var 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Object.keys(o).forEach(A=>N.dispose(o[A])),n}normalizeLandmarks(t,o){let n={};n.reshape=N.reshape(t,[-1,7,2]),n.div=N.div(n.reshape,this.inputSizeTensor),n.landmarks=N.add(n.div,this.anchors[o]);let A=N.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(r=>N.dispose(n[r])),A}async predict(t,o){let n={};n.resize=N.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=N.div(n.resize,F.tf127),n.image=N.sub(n.div,F.tf1),n.batched=this.model.execute(n.image),n.predictions=N.squeeze(n.batched),n.slice=N.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=N.sigmoid(n.slice),n.scores=N.squeeze(n.sigmoid);let A=await n.scores.data();n.boxes=N.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await N.image.nonMaxSuppressionAsync(n.norm,n.scores,3*o.hand.maxDetected,o.hand.iouThreshold,o.hand.minConfidence);let r=await n.nms.array(),s=[];for(let a of r){let y={};y.box=N.slice(n.norm,[a,0],[1,-1]),y.slice=N.slice(n.predictions,[a,5],[1,14]),y.norm=this.normalizeLandmarks(y.slice,a),y.palmLandmarks=N.reshape(y.norm,[-1,2]);let c=await y.box.data(),i=c.slice(0,2),l=c.slice(2,4),x=await y.palmLandmarks.array(),d={startPoint:i,endPoint:l,palmLandmarks:x,confidence:A[a]},u=FA(d,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);s.push(u),Object.keys(y).forEach(f=>N.dispose(y[f]))}return Object.keys(n).forEach(a=>N.dispose(n[a])),s}};var S0=V(H());var q2=5,XA=1.65,qA=[0,5,9,13,17,1,2],U2=0,J2=2,UA=0,_t=class{constructor(t,o){R(this,"handDetector");R(this,"handPoseModel");R(this,"inputSize");R(this,"storedBoxes");R(this,"skipped");R(this,"detectedHands");this.handDetector=t,this.handPoseModel=o,this.inputSize=this.handPoseModel&&this.handPoseModel.inputs[0].shape?this.handPoseModel.inputs[0].shape[2]:0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let o=t.map(s=>s[0]),n=t.map(s=>s[1]),A=[Math.min(...o),Math.min(...n)],r=[Math.max(...o),Math.max(...n)];return{startPoint:A,endPoint:r}}getBoxForPalmLandmarks(t,o){let n=t.map(r=>co([...r,1],o)),A=this.calculateLandmarksBoundingBox(n);return Yt(Kt(A),q2)}getBoxForHandLandmarks(t){let o=this.calculateLandmarksBoundingBox(t),n=Yt(Kt(o),XA);n.palmLandmarks=[];for(let A=0;A<qA.length;A++)n.palmLandmarks.push(t[qA[A]].slice(0,2));return n}transformRawCoords(t,o,n,A){let r=Jt(o),s=[r[0]/this.inputSize,r[1]/this.inputSize,(r[0]+r[1])/this.inputSize/2],a=t.map(d=>[s[0]*(d[0]-this.inputSize/2),s[1]*(d[1]-this.inputSize/2),s[2]*d[2]]),y=xo(n,[0,0]),c=a.map(d=>[...co(d,y),d[2]]),i=VA(A),l=[...ht(o),1],x=[he(l,i[0]),he(l,i[1])];return c.map(d=>[Math.trunc(d[0]+x[0]),Math.trunc(d[1]+x[1]),Math.trunc(d[2])])}async estimateHands(t,o){let n=!1,A,r=(o.hand.skipTime||0)>b()-UA,s=this.skipped<(o.hand.skipFrames||0);o.skipAllowed&&r&&s&&(A=await this.handDetector.predict(t,o),this.skipped=0),o.skipAllowed&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==o.hand.maxDetected||!o.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(n=!0));let a=[];for(let y=0;y<this.storedBoxes.length;y++){let c=this.storedBoxes[y];if(!!c)if(o.hand.landmarks){let i=o.hand.rotation?HA(c.palmLandmarks[U2],c.palmLandmarks[J2]):0,l=ht(c),x=[l[0]/t.shape[2],l[1]/t.shape[1]],d=o.hand.rotation&&T.kernels.includes("rotatewithoffset")?S0.image.rotateWithOffset(t,i,0,x):t.clone(),u=xo(-i,l),f=n?this.getBoxForPalmLandmarks(c.palmLandmarks,u):c,M=GA(f,d,[this.inputSize,this.inputSize]),g=S0.div(M,F.tf255);S0.dispose(M),S0.dispose(d);let[p,m]=this.handPoseModel.execute(g);UA=b(),S0.dispose(g);let P=(await p.data())[0];if(S0.dispose(p),P>=o.hand.minConfidence/4){let w=S0.reshape(m,[-1,3]),j=await w.array();S0.dispose(m),S0.dispose(w);let L=this.transformRawCoords(j,f,i,u),S=this.getBoxForHandLandmarks(L);this.storedBoxes[y]={...S,confidence:P};let B={landmarks:L,confidence:P,boxConfidence:c.confidence,fingerConfidence:P,box:{topLeft:S.startPoint,bottomRight:S.endPoint}};a.push(B)}else this.storedBoxes[y]=null;S0.dispose(m)}else{let i=Yt(Kt(c),XA),l={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:i.startPoint,bottomRight:i.endPoint},landmarks:[]};a.push(l)}}return this.storedBoxes=this.storedBoxes.filter(y=>y!==null),this.detectedHands=a.length,a.length>o.hand.maxDetected&&(a.length=o.hand.maxDetected),a}};var 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this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([o,n])}direction(t,o,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([o,n])}weight(t,o){this.weights[t]=o;let n=this.weights.reduce((A,r)=>A+r,0);this.weightsRelative=this.weights.map(A=>A*5/n)}matchAgainst(t,o){let n=0;for(let A in t){let r=t[A],s=this.curls[A];if(typeof s=="undefined"){n+=this.weightsRelative[A];continue}for(let[a,y]of s)if(r===a){n+=y*this.weightsRelative[A];break}}for(let A in o){let r=o[A],s=this.directions[A];if(typeof s=="undefined"){n+=this.weightsRelative[A];continue}for(let[a,y]of s)if(r===a){n+=y*this.weightsRelative[A];break}}return n/10}};var{thumb:Z0,index:ie,middle:le,ring:je,pinky:Se}=M0,{none:D0,half:K2,full:X0}=ge,{verticalUp:Ue,verticalDown:t1,horizontalLeft:fo,horizontalRight:Q2,diagonalUpRight:_2,diagonalUpLeft:Je,diagonalDownRight:o1,diagonalDownLeft:n1}=e0,Pe=new be("thumbs 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n={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&x0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let A={},r=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];A.crop=Y.image.cropAndResize(e,[r],[0],[Te[1][0],Te[1][1]],"bilinear"),A.div=Y.div(A.crop,F.tf255),[A.score,A.keypoints]=x0[1].execute(A.div,["Identity_1","Identity"]);let s=(await A.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,A.reshaped=Y.reshape(A.keypoints,[-1,3]);let i=(await A.reshaped.array()).map(l=>[l[0]/Te[1][1],l[1]/Te[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=i.map(l=>[ye[0]*(l[0]+t.boxRaw[0]),ye[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=$t(n.keypoints);for(let l of 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n=n0(d0,o);if(!t||!e)return;let A=L0(e);if(!!A)for(let i of t){if(A.font=n.font,A.strokeStyle=n.color,A.fillStyle=n.color,n.drawBoxes&&$0(A,i.box[0],i.box[1],i.box[2],i.box[3],n),n.drawLabels){let l=[];if(l.push(`face: ${Math.trunc(100*i.score)}%`),i.genderScore&&l.push(`${i.gender||""} ${Math.trunc(100*i.genderScore)}%`),i.age&&l.push(`age: ${i.age||""}`),i.iris&&l.push(`distance: ${i.iris}`),i.real&&l.push(`real: ${Math.trunc(100*i.real)}%`),i.live&&l.push(`live: ${Math.trunc(100*i.live)}%`),i.emotion&&i.emotion.length>0){let x=i.emotion.map(d=>`${Math.trunc(100*d.score)}% ${d.emotion}`);x.length>3&&(x.length=3),l.push(x.join(" "))}i.rotation&&i.rotation.angle&&i.rotation.gaze&&(i.rotation.angle.roll&&l.push(`roll: ${Oe(i.rotation.angle.roll)}\xB0 yaw:${Oe(i.rotation.angle.yaw)}\xB0 pitch:${Oe(i.rotation.angle.pitch)}\xB0`),i.rotation.gaze.bearing&&l.push(`gaze: ${Oe(i.rotation.gaze.bearing)}\xB0`)),l.length===0&&l.push("face"),A.fillStyle=n.color;for(let x=l.length-1;x>=0;x--){let 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SSRNet:"),e.config.async?(n=(j=e.config.face.ssrnet)!=null&&j.enabled?z5(x[k].tensor||r0.tensor([]),e.config,k,x.length):null,r=(L=e.config.face.ssrnet)!=null&&L.enabled?C5(x[k].tensor||r0.tensor([]),e.config,k,x.length):null):(e.state="run:ssrnet",o=b(),n=(S=e.config.face.ssrnet)!=null&&S.enabled?await z5(x[k].tensor||r0.tensor([]),e.config,k,x.length):null,r=(B=e.config.face.ssrnet)!=null&&B.enabled?await C5(x[k].tensor||r0.tensor([]),e.config,k,x.length):null,e.performance.ssrnet=Math.trunc(b()-o)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?a=(J=e.config.face.mobilefacenet)!=null&&J.enabled?no(x[k].tensor||r0.tensor([]),e.config,k,x.length):null:(e.state="run:mobilefacenet",o=b(),a=(Z=e.config.face.mobilefacenet)!=null&&Z.enabled?await no(x[k].tensor||r0.tensor([]),e.config,k,x.length):null,e.performance.mobilefacenet=Math.trunc(b()-o)),e.analyze("End MobileFaceNet:"),e.analyze("Start Description:"),e.config.async?i=(D=e.config.face.description)!=null&&D.enabled?lo(x[k].tensor||r0.tensor([]),e.config,k,x.length):null:(e.state="run:description",o=b(),i=(o0=e.config.face.description)!=null&&o0.enabled?await lo(x[k].tensor||r0.tensor([]),e.config,k,x.length):null,e.performance.description=T.perfadd?(e.performance.description||0)+Math.trunc(b()-o):Math.trunc(b()-o)),e.analyze("End Description:"),e.config.async&&([n,r,s,a,i,A,y,c]=await Promise.all([n,r,s,a,i,A,y,c])),e.analyze("Finish Face:"),((E=e.config.face.ssrnet)==null?void 0:E.enabled)&&n&&r&&(i={...i,age:n.age,gender:r.gender,genderScore:r.genderScore}),((O0=e.config.face.gear)==null?void 0:O0.enabled)&&A&&(i={...i,age:A.age,gender:A.gender,genderScore:A.genderScore,race:A.race}),((ce=e.config.face.mobilefacenet)==null?void 0:ce.enabled)&&a&&(i.descriptor=a),(v=e.config.face.iris)!=null&&v.enabled;let s0=x[k].annotations&&x[k].annotations.leftEyeIris&&x[k].annotations.leftEyeIris[0]&&x[k].annotations.rightEyeIris&&x[k].annotations.rightEyeIris[0]&&x[k].annotations.leftEyeIris.length>0&&x[k].annotations.rightEyeIris.length>0&&x[k].annotations.leftEyeIris[0]!==null&&x[k].annotations.rightEyeIris[0]!==null?Math.max(Math.abs(x[k].annotations.leftEyeIris[3][0]-x[k].annotations.leftEyeIris[1][0]),Math.abs(x[k].annotations.rightEyeIris[4][1]-x[k].annotations.rightEyeIris[2][1]))/t.shape[2]:0,c0=(y0=e.config.face.detector)!=null&&y0.return?r0.squeeze(x[k].tensor):null;r0.dispose(x[k].tensor),x[k].tensor&&delete x[k].tensor;let O={...x[k],id:k};i!=null&&i.age&&(O.age=i.age),i!=null&&i.gender&&(O.gender=i.gender),i!=null&&i.genderScore&&(O.genderScore=i==null?void 0:i.genderScore),i!=null&&i.descriptor&&(O.embedding=i==null?void 0:i.descriptor),i!=null&&i.race&&(O.race=i==null?void 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s=e[o].keypoints.find(y=>y.part==="leftShoulder"),a=e[o].keypoints.find(y=>y.part==="rightShoulder");s&&a&&Math.abs(s.positionRaw[1]-a.positionRaw[1])>.1&&t.push({body:o,gesture:`leaning ${s.position[1]>a.position[1]?"left":"right"}`})}return t},Vr=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++)if(e[o].mesh&&e[o].mesh.length>450){let n=(e[o].mesh[33][2]||0)-(e[o].mesh[263][2]||0),A=e[o].mesh[33][0]-e[o].mesh[263][0];Math.abs(n/A)<=.15?t.push({face:o,gesture:"facing center"}):t.push({face:o,gesture:`facing ${n<0?"left":"right"}`}),Math.abs(e[o].mesh[374][1]-e[o].mesh[386][1])/Math.abs(e[o].mesh[443][1]-e[o].mesh[450][1])<.2&&t.push({face:o,gesture:"blink left eye"}),Math.abs(e[o].mesh[145][1]-e[o].mesh[159][1])/Math.abs(e[o].mesh[223][1]-e[o].mesh[230][1])<.2&&t.push({face:o,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[o].mesh[13][1]-e[o].mesh[14][1])/Math.abs(e[o].mesh[10][1]-e[o].mesh[152][1]));a>10&&t.push({face:o,gesture:`mouth ${Math.trunc(a)}% open`});let 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z={face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null},Yo=0;function Xr(e,t){var s,a,y,c,i,l,x,d,u,f,M,g,p,m,P,w,j,L,S,B,J,Z,D,o0,E,O0,ce;let o=b();if(!e)return{face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null};let n=Date.now()-e.timestamp,A=n<1e3?8-Math.log(n+1):1;if(e.canvas&&(z.canvas=e.canvas),e.error&&(z.error=e.error),!z.body||e.body.length!==z.body.length)z.body=JSON.parse(JSON.stringify(e.body));else for(let v=0;v<e.body.length;v++){let y0=e.body[v].box.map((O,U)=>((A-1)*z.body[v].box[U]+O)/A),k=e.body[v].boxRaw.map((O,U)=>((A-1)*z.body[v].boxRaw[U]+O)/A),Q=e.body[v].keypoints.map((O,U)=>{var 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Jo(this,a.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(b()-A):Math.trunc(b()-A)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(y=await y),this.analyze("Start Body:"),this.state="detect:body";let x=this.config.body.maxDetected===-1?n0(this.config,{body:{maxDetected:this.config.face.enabled?1*y.length:1}}):this.config;this.config.async?((M=this.config.body.modelPath)!=null&&M.includes("posenet")?c=this.config.body.enabled?Io(a.tensor,x):[]:(g=this.config.body.modelPath)!=null&&g.includes("blazepose")?c=this.config.body.enabled?q5(a.tensor,x):[]:(p=this.config.body.modelPath)!=null&&p.includes("efficientpose")?c=this.config.body.enabled?$5(a.tensor,x):[]:(m=this.config.body.modelPath)!=null&&m.includes("movenet")&&(c=this.config.body.enabled?Eo(a.tensor,x):[]),this.performance.body&&delete this.performance.body):(A=b(),(P=this.config.body.modelPath)!=null&&P.includes("posenet")?c=this.config.body.enabled?await Io(a.tensor,x):[]:(w=this.config.body.modelPath)!=null&&w.includes("blazepose")?c=this.config.body.enabled?await q5(a.tensor,x):[]:(j=this.config.body.modelPath)!=null&&j.includes("efficientpose")?c=this.config.body.enabled?await $5(a.tensor,x):[]:(L=this.config.body.modelPath)!=null&&L.includes("movenet")&&(c=this.config.body.enabled?await Eo(a.tensor,x):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(b()-A):Math.trunc(b()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let d=this.config.hand.maxDetected===-1?n0(this.config,{hand:{maxDetected:this.config.face.enabled?2*y.length:1}}):this.config;this.config.async?((B=(S=this.config.hand.detector)==null?void 0:S.modelPath)!=null&&B.includes("handdetect")?i=this.config.hand.enabled?po(a.tensor,d):[]:(Z=(J=this.config.hand.detector)==null?void 0:J.modelPath)!=null&&Z.includes("handtrack")&&(i=this.config.hand.enabled?go(a.tensor,d):[]),this.performance.hand&&delete this.performance.hand):(A=b(),(o0=(D=this.config.hand.detector)==null?void 0:D.modelPath)!=null&&o0.includes("handdetect")?i=this.config.hand.enabled?await po(a.tensor,d):[]:(O0=(E=this.config.hand.detector)==null?void 0:E.modelPath)!=null&&O0.includes("handtrack")&&(i=this.config.hand.enabled?await go(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(b()-A):Math.trunc(b()-A)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((ce=this.config.object.modelPath)!=null&&ce.includes("nanodet")?l=this.config.object.enabled?jo(a.tensor,this.config):[]:(v=this.config.object.modelPath)!=null&&v.includes("centernet")&&(l=this.config.object.enabled?Y5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(A=b(),(y0=this.config.object.modelPath)!=null&&y0.includes("nanodet")?l=this.config.object.enabled?await jo(a.tensor,this.config):[]:(k=this.config.object.modelPath)!=null&&k.includes("centernet")&&(l=this.config.object.enabled?await Y5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(b()-A):Math.trunc(b()-A)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([y,c,i,l]=await Promise.all([y,c,i,l])),this.state="detect:gesture";let u=[];this.config.gesture.enabled&&(A=b(),u=[...Vr(y),...Hr(c),...Dr(i),...Zr(y)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(b()-A):Math.trunc(b()-A)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(b()-s):Math.trunc(b()-s);let f=((s0=(Q=this.process)==null?void 0:Q.tensor)==null?void 0:s0.shape)||[];this.result={face:y,body:c,hand:i,gesture:u,object:l,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,get persons(){return Ur(y,c,i,u,f)}},U0.dispose(a.tensor),this.emit("detect"),this.state="idle",n(this.result)})}};st=new WeakMap,Tt=new WeakMap,wt=new WeakMap,u5=new WeakMap;0&&(module.exports={Human,defaults,draw,env,match,models});
/**
* Human main module
* @default Human Library
* @summary <https://github.com/vladmandic/human>
* @author <https://github.com/vladmandic>
* @copyright <https://github.com/vladmandic>
* @license MIT
*/