human/dist/human.esm-nobundle.js

832 lines
301 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 V1=`
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];
}
`,Z1=`
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;
}
`,X1=`
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);
}
`,q1=`
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;
}
`,U1=`
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 Tt(e){var t;return T.initial&&(C0=null),C0?e.debug&&g("cached model:",C0.modelUrl):C0=await L((t=e.face.detector)==null?void 0:t.modelPath),K0=C0.executor&&C0.inputs[0].shape?C0.inputs[0].shape[2]:256,Qe=A.scalar(K0,"int32"),Pt=A.tensor2d(bt(K0)),C0}function Mr(e){let t={};t.boxStarts=A.slice(e,[0,1],[-1,2]),t.centers=A.add(t.boxStarts,Pt),t.boxSizes=A.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=A.div(t.boxSizes,Qe),t.centersNormalized=A.div(t.centers,Qe),t.halfBoxSize=A.div(t.boxSizesNormalized,F.tf2),t.starts=A.sub(t.centersNormalized,t.halfBoxSize),t.ends=A.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=A.mul(t.starts,Qe),t.endNormalized=A.mul(t.ends,Qe);let o=A.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>A.dispose(t[n])),o}async function wt(e,t){var i,c,x,d;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let 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y={};y.bbox=A.slice(o.boxes,[r[l],0],[1,-1]),y.slice=A.slice(o.batch,[r[l],Rt-1],[1,-1]),y.squeeze=A.squeeze(y.slice),y.landmarks=A.reshape(y.squeeze,[Rt,-1]);let m=await y.bbox.data(),u={startPoint:[m[0],m[1]],endPoint:[m[2],m[3]],landmarks:await y.landmarks.array(),confidence:f},M=pt(u,[(e.shape[2]||0)/K0,(e.shape[1]||0)/K0]),v=g2(M,t.face.scale||gr),P=M2(v);s.push(P),Object.keys(y).forEach(p=>A.dispose(y[p]))}}return Object.keys(o).forEach(l=>A.dispose(o[l])),s}var v2={};U0(v2,{connected:()=>P5,kpt:()=>R5});var 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Et=224,vr,Rr=5,R2=[8,16,32,32,32];function zt(){let e=[],t=0;for(;t<Rr;){let o=0,n=t;for(;n<R2.length&&R2[n]===R2[t];)o+=2,n++;let r=R2[t],s=Math.ceil(Et/r),a=Math.ceil(Et/r);for(let i=0;i<s;++i)for(let c=0;c<a;++c)for(let x=0;x<o;++x)e.push({x:(c+.5)/a,y:(i+.5)/s});t=n}vr={x:A.tensor1d(e.map(o=>o.x)),y:A.tensor1d(e.map(o=>o.y))}}function B0(e,t=[1,1]){let o=[e.map(i=>i[0]),e.map(i=>i[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[n[0],n[1],r[0]-n[0],r[1]-n[1]],a=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:a}}function St(e,t=[1,1]){let o=[e.map(x=>x[0]),e.map(x=>x[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[(n[0]+r[0])/2,(n[1]+r[1])/2],a=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+r[0],-s[1]+r[1]),i=[Math.trunc(s[0]-a),Math.trunc(s[1]-a),Math.trunc(2*a),Math.trunc(2*a)],c=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:c}}function P2(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 It={initial:!0},r0={detector:null,landmarks:null},Ee={detector:[224,224],landmarks:[256,256]},T5=Number.MAX_SAFE_INTEGER,Tr={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},w2=null,_e,J0=[[0,0],[0,0],[0,0],[0,0]],Ct=0,jt=e=>1-1/(1+Math.exp(e));async function Nt(e){var t;if(It.initial&&(r0.detector=null),!r0.detector&&e.body.detector&&e.body.detector.modelPath){r0.detector=await L(e.body.detector.modelPath);let o=(t=r0.detector)!=null&&t.executor?Object.values(r0.detector.modelSignature.inputs):void 0;Ee.detector[0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee.detector[1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}else e.debug&&r0.detector&&g("cached model:",r0.detector.modelUrl);return zt(),r0.detector}async function Ot(e){var t;if(It.initial&&(r0.landmarks=null),r0.landmarks)e.debug&&g("cached 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e.shape[1]!==t?(o.resize=A.image.resizeBilinear(o.cropped||e,[t,t]),n=A.div(o.resize,F.tf255)):n=A.div(o.cropped||e,F.tf255);return Object.keys(o).forEach(a=>A.dispose(o[a])),n}function kr(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+J0[2][0]+J0[2][1])/t[0]-J0[2][0]),Math.trunc(o.position[1]*(t[1]+J0[1][0]+J0[1][1])/t[1]-J0[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(_e)for(let o of e)o.positionRaw=[o.positionRaw[0]+_e[1],o.positionRaw[1]+_e[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}function Er(e){let t=e.find(i=>i.part==="leftPalm"),o=e.find(i=>i.part==="leftWrist"),n=e.find(i=>i.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(i=>i.part==="rightPalm"),s=e.find(i=>i.part==="rightWrist"),a=e.find(i=>i.part==="rightIndex");r.position[2]=((s.position[2]||0)+(a.position[2]||0))/2}async function zr(e,t,o){var m,u;if(!((m=r0.landmarks)!=null&&m.executor))return null;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=r0.landmarks)==null?void 0:u.execute(e,Tr.landmarks);let r=(await n.poseflag.data())[0],s=await n.ld.data(),a=await n.world.data();Object.keys(n).forEach(M=>A.dispose(n[M]));let i=[],c=5;for(let M=0;M<s.length/c;M++){let v=jt(s[c*M+3]),P=jt(s[c*M+4]),p=Math.trunc(100*v*P*r)/100,h=[s[c*M+0]/Ee.landmarks[0],s[c*M+1]/Ee.landmarks[1],s[c*M+2]+0],E=[Math.trunc(o[0]*h[0]),Math.trunc(o[1]*h[1]),h[2]],k=[a[c*M+0],a[c*M+1],a[c*M+2]+0];i.push({part:R5[M],positionRaw:h,position:E,distance:k,score:p})}if(r<(t.body.minConfidence||0))return null;Er(i);let x=kr(i,o),d=x.map(M=>M.position),l=B0(d,[o[0],o[1]]),f={};for(let[M,v]of Object.entries(P5)){let P=[];for(let p=0;p<v.length-1;p++){let h=x.find(k=>k.part===v[p]),E=x.find(k=>k.part===v[p+1]);h&&E&&P.push([h.position,E.position])}f[M]=P}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:x,annotations:f}}async function w5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>R()-Ct,r=T5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&w2!==null)T5++;else{let s={};s.landmarks=wr(e,256),w2=await zr(s.landmarks,t,o),Object.keys(s).forEach(a=>A.dispose(s[a])),Ct=R(),T5=0}return w2?[w2]:[]}var ze=[{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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function x3(e,t){var c,x,d,l,f,y,m,u,M,v;if(!(X!=null&&X.executor))return[];let o=(((c=t.face.detector)==null?void 0:c.skipTime)||0)>R()-W0.timestamp,n=W0.skipped<(((x=t.face.detector)==null?void 0:x.skipFrames)||0);!t.skipAllowed||!o||!n||W0.boxes.length===0?(W0.boxes=await wt(e,t),W0.timestamp=R(),W0.skipped=0):W0.skipped++;let r=[],s=[],a=0,i=e2;for(let P=0;P<W0.boxes.length;P++){let p=W0.boxes[P],h=0,E,k={id:a++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([h,E,k.tensor]=Mt((d=t.face.detector)==null?void 0:d.rotation,p,e,(l=t.face.mesh)!=null&&l.enabled?e2:ke()),t.filter.equalization){let b=k.tensor?await x2(k.tensor):void 0;A.dispose(k.tensor),b&&(k.tensor=b)}if(k.boxScore=Math.round(100*p.confidence)/100,(f=t.face.mesh)!=null&&f.enabled)if(!X)t.debug&&g("face mesh detection requested, but model is not loaded");else{if(((y=t.face.attention)==null?void 0:y.enabled)&&!T.kernels.includes("atan2"))return t.face.attention.enabled=!1,A.dispose(k.tensor),r;let b=X.execute(k.tensor),B=await b.find(I=>I.shape[I.shape.length-1]===1).data();if(k.faceScore=Math.round(100*B[0])/100,k.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(p.confidence=k.faceScore,t.face.mesh.keepInvalid){k.box=h2(p,e),k.boxRaw=b2(p,e),k.score=k.boxScore,k.mesh=p.landmarks.map(I=>[(p.startPoint[0]+p.endPoint[0])/2+(p.endPoint[0]+p.startPoint[0])*I[0]/ke(),(p.startPoint[1]+p.endPoint[1])/2+(p.endPoint[1]+p.startPoint[1])*I[1]/ke()]),k.meshRaw=k.mesh.map(I=>[I[0]/(e.shape[2]||1),I[1]/(e.shape[1]||1),(I[2]||0)/i]);for(let I of Object.keys(le))k.annotations[I]=[k.mesh[le[I]]]}}else{let I=b.find(j=>j.shape[j.shape.length-1]===1404),O=A.reshape(I,[-1,3]),G=await O.array();A.dispose(O),(u=t.face.attention)!=null&&u.enabled?G=await c3(G,b):(M=t.face.iris)!=null&&M.enabled&&(G=await 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n=A.concat2d([o.startPoints,o.endPoints],1);return Object.keys(o).forEach(r=>A.dispose(o[r])),n}normalizeLandmarks(t,o){let n={};n.reshape=A.reshape(t,[-1,7,2]),n.div=A.div(n.reshape,this.inputSizeTensor),n.landmarks=A.add(n.div,this.anchors[o]?this.anchors[o]:0);let r=A.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>A.dispose(n[s])),r}async predict(t,o){var i;let n={};n.resize=A.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=A.div(n.resize,F.tf127),n.image=A.sub(n.div,F.tf1),n.batched=this.model.execute(n.image),n.predictions=A.squeeze(n.batched),n.slice=A.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=A.sigmoid(n.slice),n.scores=A.squeeze(n.sigmoid);let r=await n.scores.data();n.boxes=A.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await A.image.nonMaxSuppressionAsync(n.norm,n.scores,3*(((i=o.hand)==null?void 0:i.maxDetected)||1),o.hand.iouThreshold,o.hand.minConfidence);let s=await n.nms.array(),a=[];for(let c of s){let x={};x.box=A.slice(n.norm,[c,0],[1,-1]),x.slice=A.slice(n.predictions,[c,5],[1,14]),x.norm=this.normalizeLandmarks(x.slice,c),x.palmLandmarks=A.reshape(x.norm,[-1,2]);let d=await x.box.data(),l=d.slice(0,2),f=d.slice(2,4),y=await x.palmLandmarks.array(),m={startPoint:l,endPoint:f,palmLandmarks:y,confidence:r[c]},u=M3(m,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);a.push(u),Object.keys(x).forEach(M=>A.dispose(x[M]))}return Object.keys(n).forEach(c=>A.dispose(n[c])),a}};var Jr=5,w3=1.65,k3=[0,5,9,13,17,1,2],Qr=0,_r=2,E3=0,N2=class{constructor(t,o){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");var n,r,s;this.handDetector=t,this.handPoseModel=o,this.inputSize=((s=(r=(n=this.handPoseModel)==null?void 0:n.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let 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K=[null,null],lA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],se=[[0,0],[0,0]],cA=["hand","fist","pinch","point","face","tip","pinchtip"],Z3=4,X3=1.6,xA=512,yA=1.4,F2=Number.MAX_SAFE_INTEGER,$5=0,V0=[0,0],Y={boxes:[],hands:[]},q3={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function U3(e){var t;if(T.initial&&(K[0]=null),K[0])e.debug&&g("cached model:",K[0].modelUrl);else{W2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),K[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let o=K[0].executor?Object.values(K[0].modelSignature.inputs):void 0;se[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,se[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return K[0]}async function Y3(e){var t;if(T.initial&&(K[1]=null),K[1])e.debug&&g("cached model:",K[1].modelUrl);else{K[1]=await L((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=K[1].executor?Object.values(K[1].modelSignature.inputs):void 0;se[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,se[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return K[1]}async function dA(e,t){let o=[];if(!e||!K[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,xA),a=Math.round(s*r/8)*8;n.resize=A.image.resizeBilinear(e,[s,a]),n.cast=A.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await K[0].executeAsync(n.cast,lA),n.boxes=A.squeeze(n.rawBoxes,[0,2]),n.scores=A.squeeze(n.rawScores,[0]);let i=A.unstack(n.scores,1);A.dispose(i[Z3]),i.splice(Z3,1),n.filtered=A.stack(i,1),A.dispose(i),n.max=A.max(n.filtered,1),n.argmax=A.argMax(n.filtered,1);let c=0;n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let x=await n.nms.data(),d=await n.max.data(),l=await n.argmax.data();for(let f of Array.from(x)){let y=A.slice(n.boxes,f,1),m=await y.data();A.dispose(y);let u=[m[1],m[0],m[3]-m[1],m[2]-m[0]],M=P2(u,yA),v=[Math.trunc(u[0]*V0[0]),Math.trunc(u[1]*V0[1]),Math.trunc(u[2]*V0[0]),Math.trunc(u[3]*V0[1])],P=d[f],p=cA[l[f]],h={id:c++,score:P,box:v,boxRaw:M,label:p};o.push(h)}return Object.keys(n).forEach(f=>A.dispose(n[f])),o.sort((f,y)=>y.score-f.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function e1(e,t,o){let 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&&K[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=A.image.cropAndResize(e,[s],[0],[se[1][0],se[1][1]],"bilinear"),r.div=A.div(r.crop,F.tf255),[r.score,r.keypoints]=K[1].execute(r.div,["Identity_1","Identity"]);let a=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(i>=(o.hand.minConfidence||0)){n.fingerScore=i,r.reshaped=A.reshape(r.keypoints,[-1,3]);let d=(await r.reshaped.array()).map(l=>[l[0]/se[1][1],l[1]/se[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=d.map(l=>[V0[0]*(l[0]+t.boxRaw[0]),V0[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=O2(n.keypoints);for(let l of Object.keys(q3))n.annotations[l]=q3[l].map(f=>n.landmarks&&n.keypoints[f]?n.keypoints[f]:null)}Object.keys(r).forEach(c=>A.dispose(r[c]))}return n}async function t1(e,t){var r,s;if(!((r=K[0])!=null&&r.executor)||!((s=K[1])!=null&&s.executor)||!K[0].inputs[0].shape||!K[1].inputs[0].shape)return[];V0=[e.shape[2]||0,e.shape[1]||0],F2++;let o=(t.hand.skipTime||0)>R()-$5,n=F2<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?Y.hands:new Promise(async a=>{let i=3*(t.hand.skipTime||0)>R()-$5,c=F2<3*(t.hand.skipFrames||0);t.skipAllowed&&Y.hands.length===t.hand.maxDetected?Y.hands=await Promise.all(Y.boxes.map(d=>e1(e,d,t))):t.skipAllowed&&i&&c&&Y.hands.length>0?Y.hands=await Promise.all(Y.boxes.map(d=>e1(e,d,t))):(Y.boxes=await dA(e,t),$5=R(),Y.hands=await Promise.all(Y.boxes.map(d=>e1(e,d,t))),F2=0);let x=[...Y.boxes];if(Y.boxes.length=0,t.cacheSensitivity>0)for(let d=0;d<Y.hands.length;d++){let l=St(Y.hands[d].keypoints,V0);if(l.box[2]/(e.shape[2]||1)>.05&&l.box[3]/(e.shape[1]||1)>.05&&Y.hands[d].fingerScore&&Y.hands[d].fingerScore>(t.hand.minConfidence||0)){let f=P2(l.box,X3),y=P2(l.boxRaw,X3);Y.boxes.push({...x[d],box:f,boxRaw:y})}}for(let d=0;d<Y.hands.length;d++){let l=B0(Y.hands[d].keypoints,V0);Y.hands[d].box=l.box,Y.hands[d].boxRaw=l.boxRaw}a(Y.hands)})}var o0,G2=[],o1=Number.MAX_SAFE_INTEGER,J3=0,Q3=0;async function _3(e){var t;return T.initial&&(o0=null),o0?e.debug&&g("cached model:",o0.modelUrl):o0=await L((t=e.face.liveness)==null?void 0:t.modelPath),o0}async function n1(e,t,o,n){var a,i;if(!(o0!=null&&o0.executor))return 0;let r=(((a=t.face.liveness)==null?void 0:a.skipTime)||0)>R()-Q3,s=o1<(((i=t.face.liveness)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&r&&s&&J3===n&&G2[o]?(o1++,G2[o]):(o1=0,new Promise(async c=>{let x=A.image.resizeBilinear(e,[o0!=null&&o0.inputs[0].shape?o0.inputs[0].shape[2]:0,o0!=null&&o0.inputs[0].shape?o0.inputs[0].shape[1]:0],!1),d=o0==null?void 0:o0.execute(x),l=(await d.data())[0];G2[o]=Math.round(100*l)/100,J3=n,Q3=R(),A.dispose([x,d]),c(G2[o])}))}var r2={};U0(r2,{connected:()=>H2,horizontal:()=>r1,kpt:()=>B2,relative:()=>s1,vertical:()=>A1});var 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i=e.keypoints[n]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[a].position[0]-e.keypoints[n].position[0])]:[0,0],c=e.keypoints[r]?[Math.abs(e.keypoints[a].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(i[0]>i[1]||c[0]>c[1]){let x=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=x}}}function to(e){for(let t=0;t<e.length;t++)if(e[t]&&u0.keypoints[t]){let o=[Math.abs(e[t].positionRaw[0]-u0.keypoints[t].positionRaw[0]),Math.abs(e[t].positionRaw[1]-u0.keypoints[t].positionRaw[1])];o[0]<eo&&o[1]<eo?e[t]=u0.keypoints[t]:u0.keypoints[t]=e[t]}else u0.keypoints[t]=e[t];return e}function oo(e,t){var r,s;let o={};if(!((r=e==null?void 0:e.shape)!=null&&r[1])||!((s=e==null?void 0:e.shape)!=null&&s[2]))return 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s=e[0][r],a=Math.round(100*s[51+4])/100;if(a>t.body.minConfidence){let i=[];for(let l=0;l<17;l++){let f=s[3*l+2];if(f>t.body.minConfidence){let y=[s[3*l+1],s[3*l+0]];i.push({part:B2[l],score:Math.round(100*f)/100,positionRaw:y,position:[Math.round((o.shape[2]||0)*y[0]),Math.round((o.shape[1]||0)*y[1])]})}}let c=B0(i.map(l=>l.position),[o.shape[2],o.shape[1]]),x={};for(let[l,f]of Object.entries(H2)){let y=[];for(let m=0;m<f.length-1;m++){let u=i.find(v=>v.part===f[m]),M=i.find(v=>v.part===f[m+1]);u&&M&&u.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&y.push([u.position,M.position])}x[l]=y}let d={id:r,score:a,box:c.box,boxRaw:c.boxRaw,keypoints:[...i],annotations:x};a1(d),n.push(d)}}return n.sort((r,s)=>s.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function l1(e,t){var r;if(!(Q!=null&&Q.executor)||!((r=Q==null?void 0:Q.inputs)!=null&&r[0].shape))return[];t.skipAllowed||(ge.boxes.length=0),i1++;let o=(t.body.skipTime||0)>R()-ge.last,n=i1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?ge.bodies:new Promise(async s=>{let a={};i1=0,a.input=oo(e,D2),a.res=Q==null?void 0:Q.execute(a.input),ge.last=R();let i=await a.res.array();ge.bodies=a.res.shape[2]===17?mA(i,t,e):pA(i,t,e);for(let c of ge.bodies)no(c,[e.shape[2]||1,e.shape[1]||1]),to(c.keypoints);Object.keys(a).forEach(c=>A.dispose(a[c])),s(ge.bodies)})}var E0,V2=[],so=0,c1=Number.MAX_SAFE_INTEGER,X2=0,Z2=2.5;async function ao(e){if(!E0||T.initial){E0=await L(e.object.modelPath);let t=E0!=null&&E0.executor?Object.values(E0.modelSignature.inputs):void 0;X2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):416}else e.debug&&g("cached model:",E0.modelUrl);return E0}async function uA(e,t,o){let n=0,r=[],s=X2;for(let x of[1,2,4]){let d=x*13,l=A.squeeze(e.find(v=>v.shape[1]===d**2&&(v.shape[2]||0)===ze.length)),f=await 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Ve,l2,c2,Q2,ae,No=class{constructor(t){w(this,"version");w(this,"config");w(this,"result");w(this,"state");w(this,"process");w(this,"tf");w(this,"env");w(this,"draw");w(this,"models");w(this,"events");w(this,"faceTriangulation");w(this,"faceUVMap");w(this,"performance");ve(this,Ve,void 0);ve(this,l2,void 0);ve(this,c2,void 0);w(this,"gl");w(this,"analyze",(...t)=>{if(!L0(this,l2))return;let o=this.tf.engine().state.numTensors,n=L0(this,Ve);Ue(this,Ve,o);let r=o-n;r!==0&&g(...t,r)});ve(this,Q2,t=>{if(!L0(this,c2))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof Re))return"input must be a tensor";try{this.tf.getBackend()}catch(o){return"backend not loaded"}return null});w(this,"similarity",C1);w(this,"distance",i2);w(this,"match",j1);w(this,"emit",t=>{var o;(o=this.events)!=null&&o.dispatchEvent&&this.events.dispatchEvent(new Event(t))});ve(this,ae,{});this.env=T;let o=(Ye.tfjs||A.version_core).replace(/-(.*)/,"");ie.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${o}/dist/`,ie.modelBasePath=T.browser?"../models/":"file://models/",ie.backend=T.browser?"webgl":"tensorflow",this.version=M1,Object.defineProperty(this,"version",{value:M1}),this.config=JSON.parse(JSON.stringify(ie)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=U(this.config,t)),go(this.config),this.tf=A,this.state="idle",Ue(this,Ve,0),Ue(this,l2,!1),Ue(this,c2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new a2,this.draw={options:s0,canvas:(r,s)=>w1(r,s),face:(r,s,a)=>We(r,s,a),body:(r,s,a)=>Fe(r,s,a),hand:(r,s,a)=>Ge(r,s,a),gesture:(r,s,a)=>He(r,s,a),object:(r,s,a)=>Be(r,s,a),person:(r,s,a)=>T1(r,s,a),all:(r,s,a)=>k1(r,s,a)},this.result={face:[],body:[],hand:[],gesture:[],object:[],performance:{},timestamp:0,persons:[],error:null},this.process={tensor:null,canvas:null},this.faceTriangulation=d3,this.faceUVMap=f3,this.gl=V,Le(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&g(`version: ${this.version}`),this.config.debug&&g(`tfjs version: ${this.tf.version["tfjs-core"]}`);let n=JSON.parse(JSON.stringify(this.env));delete n.kernels,delete n.initial,delete n.perfadd,this.config.debug&&g("environment:",n)}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(ie)),this.config.backend=t,r5(),T.initial=!0}validate(t){let o=e5(ie,t||this.config);return o.length===0&&(this.config=U(this.config,t)),o}check(){return Y2(this)}now(){return R()}image(t,o=!0){return Te(t,this.config,o)}async segmentation(t,o){return ho(t,o,this.config)}enhance(t){return Z5(t)}compare(t,o){return J1(this.config,t,o)}async init(){await n2(this,!0),await this.tf.ready(),r5()}async load(t){this.state="load";let o=R(),n=Object.values(this.models).filter(a=>a).length;t&&(this.config=U(this.config,t)),this.env.initial&&(await n2(this,!1)||g("error: backend check failed"),await A.ready(),this.env.browser&&(this.config.debug&&g("configuration:",this.config),this.config.debug&&g("tf flags:",this.tf.ENV.flags))),await g1(this),this.env.initial&&this.config.debug&&g("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.env.initial=!1,Object.values(this.models).filter(a=>a).length!==n&&(Y2(this),this.emit("load"));let s=Math.trunc(R()-o);s>(this.performance.loadModels||0)&&(this.performance.loadModels=this.env.perfadd?(this.performance.loadModels||0)+s:s)}next(t=this.result){return zo(t,this.config)}getModelStats(){return b1(this)}async warmup(t){let o=R(),n=await Io(this,t),r=R();return this.performance.warmup=Math.trunc(r-o),n}async profile(t,o){let n=await this.tf.profile(()=>this.detect(t,o)),r={},s=0;for(let i of n.kernels)r[i.name]?r[i.name]+=i.kernelTimeMs:r[i.name]=i.kernelTimeMs,s+=i.kernelTimeMs;let a=[];Object.entries(r).forEach(i=>a.push({kernel:i[0],time:i[1],perc:0}));for(let i of a)i.perc=Math.round(1e3*i.time/s)/1e3,i.time=Math.round(1e3*i.time)/1e3;return a.sort((i,c)=>c.time-i.time),a.length=20,a}async detect(t,o){return this.state="detect",new Promise(async n=>{var M,v,P,p,h,E,k,b,W,B,I,O,G,N,j,n0,x0,z0,S0,R0,q0;this.state="config";let r;this.config=U(this.config,o),this.state="check";let s=L0(this,Q2).call(this,t);s&&(g(s,t),this.emit("error"),n({face:[],body:[],hand:[],gesture:[],object:[],performance:this.performance,timestamp:R(),persons:[],error:s}));let a=R();await this.load(),r=R(),this.state="image";let i=await Te(t,this.config);if(this.process=i,this.performance.inputProcess=this.env.perfadd?(this.performance.inputProcess||0)+Math.trunc(R()-r):Math.trunc(R()-r),this.analyze("Get Image:"),!i.tensor){this.config.debug&&g("could not convert input to tensor"),this.emit("error"),n({face:[],body:[],hand:[],gesture:[],object:[],performance:this.performance,timestamp:R(),persons:[],error:"could not convert input to tensor"});return}this.emit("image"),r=R(),this.config.skipAllowed=await K1(this.config,i.tensor),this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(R()-r):Math.trunc(R()-r),this.analyze("Check Changed:");let c=[],x=[],d=[],l=[];this.state="detect:face",this.config.async?(c=this.config.face.enabled?z1(this,i.tensor):[],this.performance.face&&delete this.performance.face):(r=R(),c=this.config.face.enabled?await z1(this,i.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(R()-r):Math.trunc(R()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(c=await c),this.analyze("Start Body:"),this.state="detect:body";let f=this.config.body.maxDetected===-1?U(this.config,{body:{maxDetected:this.config.face.enabled?1*c.length:1}}):this.config;this.config.async?((M=this.config.body.modelPath)!=null&&M.includes("posenet")?x=this.config.body.enabled?p1(i.tensor,f):[]:(v=this.config.body.modelPath)!=null&&v.includes("blazepose")?x=this.config.body.enabled?w5(i.tensor,f):[]:(P=this.config.body.modelPath)!=null&&P.includes("efficientpose")?x=this.config.body.enabled?I5(i.tensor,f):[]:(p=this.config.body.modelPath)!=null&&p.includes("movenet")&&(x=this.config.body.enabled?l1(i.tensor,f):[]),this.performance.body&&delete this.performance.body):(r=R(),(h=this.config.body.modelPath)!=null&&h.includes("posenet")?x=this.config.body.enabled?await p1(i.tensor,f):[]:(E=this.config.body.modelPath)!=null&&E.includes("blazepose")?x=this.config.body.enabled?await w5(i.tensor,f):[]:(k=this.config.body.modelPath)!=null&&k.includes("efficientpose")?x=this.config.body.enabled?await I5(i.tensor,f):[]:(b=this.config.body.modelPath)!=null&&b.includes("movenet")&&(x=this.config.body.enabled?await l1(i.tensor,f):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(R()-r):Math.trunc(R()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let y=this.config.hand.maxDetected===-1?U(this.config,{hand:{maxDetected:this.config.face.enabled?2*c.length:1}}):this.config;this.config.async?((B=(W=this.config.hand.detector)==null?void 0:W.modelPath)!=null&&B.includes("handdetect")?d=this.config.hand.enabled?Q5(i.tensor,y):[]:(O=(I=this.config.hand.detector)==null?void 0:I.modelPath)!=null&&O.includes("handtrack")&&(d=this.config.hand.enabled?t1(i.tensor,y):[]),this.performance.hand&&delete this.performance.hand):(r=R(),(N=(G=this.config.hand.detector)==null?void 0:G.modelPath)!=null&&N.includes("handdetect")?d=this.config.hand.enabled?await Q5(i.tensor,y):[]:(n0=(j=this.config.hand.detector)==null?void 0:j.modelPath)!=null&&n0.includes("handtrack")&&(d=this.config.hand.enabled?await t1(i.tensor,y):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(R()-r):Math.trunc(R()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((x0=this.config.object.modelPath)!=null&&x0.includes("nanodet")?l=this.config.object.enabled?x1(i.tensor,this.config):[]:(z0=this.config.object.modelPath)!=null&&z0.includes("centernet")&&(l=this.config.object.enabled?z5(i.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=R(),(S0=this.config.object.modelPath)!=null&&S0.includes("nanodet")?l=this.config.object.enabled?await x1(i.tensor,this.config):[]:(R0=this.config.object.modelPath)!=null&&R0.includes("centernet")&&(l=this.config.object.enabled?await z5(i.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(R()-r):Math.trunc(R()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([c,x,d,l]=await Promise.all([c,x,d,l])),this.state="detect:gesture";let m=[];this.config.gesture.enabled&&(r=R(),m=[...wo(c),...To(x),...Eo(d),...ko(c)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(R()-r):Math.trunc(R()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(R()-a):Math.trunc(R()-a);let u=((q0=this.process.tensor)==null?void 0:q0.shape)||[];this.result={face:c,body:x,hand:d,gesture:m,object:l,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,get persons(){return jo(c,x,d,m,u)}},A.dispose(i.tensor),this.emit("detect"),this.state="idle",n(this.result)})}async sleep(t){return new Promise(o=>{setTimeout(o,t)})}async video(t,o=!0,n=0){o?(L0(this,ae)[t.id]||(this.config.debug&&g("video start",t.id),L0(this,ae)[t.id]=!0),!t.paused&&L0(this,ae)[t.id]&&t.readyState>=2&&await this.detect(t),n>0&&await this.sleep(n),L0(this,ae)[t.id]&&requestAnimationFrame(()=>this.video(t,o,n))):(this.config.debug&&g("video stop",t.id),L0(this,ae)[t.id]=!1)}};Ve=new WeakMap,l2=new WeakMap,c2=new WeakMap,Q2=new WeakMap,ae=new WeakMap;export{No as Human,No as default,ie as defaults,vo as draw,T as env,Co as match,o2 as models};
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