UNPKG

facezk-core

Version:

ZKP-AI Proof of Humanity: Live Selfie Check with Biometric Template Extraction and Fuzzy Hashing

facezk.com

VerifiedOnchain/facezk-lib

94 lines • 2.62 MB
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A=new Float32Array(y),x=1/u.width,b=1/u.height,w=v(y$);w&&(p.uniform1fv(w.uniform.m,A),p.uniform2f(w.uniform.px,x,b),m())},detectEdges:()=>{g.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{g.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{g.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:y=>{let A=y||1;g.convolution.call(this,[0,-1*A,0,-1*A,1+4*A,-1*A,0,-1*A,0])},emboss:y=>{let A=y||1;g.convolution.call(this,[-2*A,-1*A,0,-1*A,1,1*A,0,1*A,2*A])},blur:y=>{let A=y/7/u.width,x=y/7/u.height,b=v(g$);b&&(p.uniform2f(b.uniform.px,0,x),m(c.INTERMEDIATE),p.uniform2f(b.uniform.px,A,0),m())},pixelate:y=>{let A=y/u.width,x=y/u.height,b=v(v$);b&&(p.uniform2f(b.uniform.size,A,x),m())}};this.add=function(y){let A=Array.prototype.slice.call(arguments,1),x=g[y];i.push({func:x,args:A})},this.reset=function(){i=[]},this.get=function(){return i},this.apply=function(y){d(y.width,y.height),t=0,e||(e=p.createTexture()),p.bindTexture(p.TEXTURE_2D,e),p.texParameteri(p.TEXTURE_2D,p.TEXTURE_WRAP_S,p.CLAMP_TO_EDGE),p.texParameteri(p.TEXTURE_2D,p.TEXTURE_WRAP_T,p.CLAMP_TO_EDGE),p.texParameteri(p.TEXTURE_2D,p.TEXTURE_MIN_FILTER,p.NEAREST),p.texParameteri(p.TEXTURE_2D,p.TEXTURE_MAG_FILTER,p.NEAREST),p.texImage2D(p.TEXTURE_2D,0,p.RGBA,p.RGBA,p.UNSIGNED_BYTE,y);for(let A=0;A<i.length;A++){n=A===i.length-1;let x=i[A];x.func.apply(this,x.args||[])}return u},this.draw=function(y){return this.add("brightness",0),this.apply(y)}}var jn=wt(kt());async function rA(t){let e=t.shape.length===4?jn.squeeze(t):t,n=jn.split(e,3,2),r=[jn.min(n[0]),jn.min(n[1]),jn.min(n[2])],a=[jn.max(n[0]),jn.max(n[1]),jn.max(n[2])],i=await Promise.all(a.map(l=>l.data())),o=Math.max(i[0][0],i[1][0],i[2][0]),s=(o>1?255:1)/o,u;if(s>1){let l=[jn.sub(n[0],r[0]),jn.sub(n[1],r[1]),jn.sub(n[2],r[2])],c=[jn.sub(a[0],r[0]),jn.sub(a[1],r[1]),jn.sub(a[2],r[2])],p=[jn.mul(l[0],s),jn.mul(l[1],s),jn.mul(l[2],s)],d=jn.stack([p[0],p[1],p[2]],2);u=jn.reshape(d,[1,e.shape[0]||0,e.shape[1]||0,3]),jn.dispose([...l,...c,...p,d])}else u=jn.expandDims(e,0);return jn.dispose([...n,...r,...a,n,e,t]),u}var w0=3840,kr=null,Sr=null,tp=null,pn,di={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function Ex(){di.inputSum=0,di.cacheDiff=1,di.sumMethod=0,di.inputTensor=void 0}function hu(t,e){let n;if(_e.browser)if(_e.worker){if(typeof OffscreenCanvas>"u")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(t,e)}else if(typeof document<"u")n=document.createElement("canvas"),n.width=t,n.height=e;else if(typeof navigator<"u"&&navigator.product==="ReactNative")if(typeof _e.Canvas<"u")n=new _e.Canvas(t,e);else if(typeof globalThis.Canvas<"u")n=new globalThis.Canvas(t,e);else throw new Error("canvas error: attempted to use canvas in react-native without canvas support installed");else throw new Error("canvas error: attempted to run in browser but DOM is not defined");else typeof _e.Canvas<"u"?n=new _e.Canvas(t,e):typeof globalThis.Canvas<"u"&&(n=new globalThis.Canvas(t,e));return n}function k0(t,e){let n=e||hu(t.width,t.height);return n.getContext("2d").drawImage(t,0,0),n}async function og(t,e,n=!0){var r,a,i;if(!t)return e.debug&&fe("input error: input is missing"),{tensor:null,canvas:null};if(!(t instanceof bt.Tensor)&&!(typeof Image<"u"&&t instanceof Image)&&!(typeof globalThis.Canvas<"u"&&t instanceof globalThis.Canvas)&&!(typeof ImageData<"u"&&t instanceof ImageData)&&!(typeof ImageBitmap<"u"&&t instanceof ImageBitmap)&&!(typeof HTMLImageElement<"u"&&t instanceof HTMLImageElement)&&!(typeof HTMLMediaElement<"u"&&t instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement<"u"&&t instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement<"u"&&t instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas<"u"&&t instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(t instanceof bt.Tensor){let m=null;if(t.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!t.shape)throw new Error("input error: attempted to use tensor without a shape");if(t.shape.length===3){if(t.shape[2]===3)m=bt.expandDims(t,0);else if(t.shape[2]===4){let v=bt.slice3d(t,[0,0,0],[-1,-1,3]);m=bt.expandDims(v,0),bt.dispose(v)}}else t.shape.length===4&&(t.shape[3]===3?m=bt.clone(t):t.shape[3]===4&&(m=bt.slice4d(t,[0,0,0,0],[-1,-1,-1,3])));if(m==null||m.shape.length!==4||m.shape[0]!==1||m.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${t.shape.toString()}`);if(m.dtype==="int32"){let v=bt.cast(m,"float32");bt.dispose(m),m=v}return{tensor:m,canvas:e.filter.return?Sr:null}}if(typeof t.readyState<"u"&&t.readyState<=2)return e.debug&&fe("input stream is not ready"),{tensor:null,canvas:kr};let o=t.naturalWidth||t.videoWidth||t.width||t.shape&&t.shape[1]>0,s=t.naturalHeight||t.videoHeight||t.height||t.shape&&t.shape[2]>0;if(!o||!s)return e.debug&&fe("cannot determine input dimensions"),{tensor:null,canvas:kr};let u=o,l=s;if(u>w0&&(u=w0,l=Math.trunc(u*s/o)),l>w0&&(l=w0,u=Math.trunc(l*o/s)),(((r=e.filter)==null?void 0:r.width)||0)>0?u=e.filter.width:(((a=e.filter)==null?void 0:a.height)||0)>0&&(u=o*((e.filter.height||0)/s)),(e.filter.height||0)>0?l=e.filter.height:(e.filter.width||0)>0&&(l=s*((e.filter.width||0)/o)),!u||!l)throw new Error("input error: cannot determine dimension");(!kr||kr.width!==u||kr.height!==l)&&(kr=hu(u,l));let c=kr.getContext("2d");if(typeof ImageData<"u"&&t instanceof ImageData?c.putImageData(t,0,0):e.filter.flip&&typeof c.translate<"u"?(c.translate(o,0),c.scale(-1,1),c.drawImage(t,0,0,o,s,0,0,kr.width,kr.height),c.setTransform(1,0,0,1,0,0)):c.drawImage(t,0,0,o,s,0,0,kr.width,kr.height),(!Sr||kr.width!==Sr.width||kr.height!==Sr.height)&&(Sr=hu(kr.width,kr.height)),e.filter.enabled&&_e.webgl.supported?(pn||(pn=_e.browser?new A$:null),_e.filter=!!pn,pn!=null&&pn.add?(pn.reset(),e.filter.brightness!==0&&pn.add("brightness",e.filter.brightness),e.filter.contrast!==0&&pn.add("contrast",e.filter.contrast),e.filter.sharpness!==0&&pn.add("sharpen",e.filter.sharpness),e.filter.blur!==0&&pn.add("blur",e.filter.blur),e.filter.saturation!==0&&pn.add("saturation",e.filter.saturation),e.filter.hue!==0&&pn.add("hue",e.filter.hue),e.filter.negative&&pn.add("negative"),e.filter.sepia&&pn.add("sepia"),e.filter.vintage&&pn.add("brownie"),e.filter.sepia&&pn.add("sepia"),e.filter.kodachrome&&pn.add("kodachrome"),e.filter.technicolor&&pn.add("technicolor"),e.filter.polaroid&&pn.add("polaroid"),e.filter.pixelate!==0&&pn.add("pixelate",e.filter.pixelate),((i=pn.get())==null?void 0:i.length)>1?Sr=pn.apply(kr):Sr=pn.draw(kr)):(e.debug&&fe("input process error: cannot initialize filters"),_e.webgl.supported=!1,e.filter.enabled=!1,k0(kr,Sr))):(k0(kr,Sr),pn&&(pn=null),_e.filter=!!pn),!n)return{tensor:null,canvas:Sr};if(!Sr)throw new Error("canvas error: cannot create output");let p,d=3;if(typeof ImageData<"u"&&t instanceof ImageData||t.data&&t.width&&t.height)if(_e.browser&&bt.browser)p=bt.browser?bt.browser.fromPixels(t):null;else{d=t.data.length/t.height/t.width;let m=new Uint8Array(t.data.buffer);p=bt.tensor(m,[t.height,t.width,d],"int32")}else if((!tp||Sr.width!==tp.width||Sr.height!==tp.height)&&(tp=hu(Sr.width,Sr.height)),bt.browser&&_e.browser)e.backend==="webgl"||e.backend==="humangl"||e.backend==="webgpu"?p=bt.browser.fromPixels(Sr):(tp=k0(Sr),p=bt.browser.fromPixels(tp));else{let m=k0(Sr).getContext("2d").getImageData(0,0,u,l);d=m.data.length/u/l;let v=new Uint8Array(m.data.buffer);p=bt.tensor(v,[u,l,d])}if(d===4){let m=bt.slice3d(p,[0,0,0],[-1,-1,3]);bt.dispose(p),p=m}if(!p)throw new Error("input error: cannot create tensor");let f=bt.cast(p,"float32"),h=e.filter.equalization?await rA(f):bt.expandDims(f,0);if(bt.dispose([p,f]),e.filter.autoBrightness){let m=bt.max(h),v=await m.data();e.filter.brightness=v[0]>1?1-v[0]/255:1-v[0],bt.dispose(m)}return{tensor:h,canvas:e.filter.return?Sr:null}}async function b$(t,e){let n=!1;if(t.cacheSensitivity===0||!e.shape||e.shape.length!==4||e.shape[1]>3840||e.shape[2]>2160)return n;if(!di.inputTensor)di.inputTensor=bt.clone(e);else if(di.inputTensor.shape[1]!==e.shape[1]||di.inputTensor.shape[2]!==e.shape[2])bt.dispose(di.inputTensor),di.inputTensor=bt.clone(e);else{let r={};r.diff=bt.sub(e,di.inputTensor),r.squared=bt.mul(r.diff,r.diff),r.sum=bt.sum(r.squared);let a=(await r.sum.data())[0]/(e.shape[1]||1)/(e.shape[2]||1)/255/3;bt.dispose([di.inputTensor,r.diff,r.squared,r.sum]),di.inputTensor=bt.clone(e),n=a<=(t.cacheSensitivity||0)}return n}async function w$(t,e,n){let r={};if(!e||!n||e.shape.length!==4||e.shape.length!==n.shape.length)return t.debug||fe("invalid input tensor or tensor shapes do not match:",e.shape,n.shape),0;if(e.shape[0]!==1||n.shape[0]!==1||e.shape[3]!==3||n.shape[3]!==3)return t.debug||fe("input tensors must be of shape [1, height, width, 3]:",e.shape,n.shape),0;r.input1=bt.clone(e),r.input2=e.shape[1]!==n.shape[1]||e.shape[2]!==n.shape[2]?bt.image.resizeBilinear(n,[e.shape[1],e.shape[2]]):bt.clone(n),r.diff=bt.sub(r.input1,r.input2),r.squared=bt.mul(r.diff,r.diff),r.sum=bt.sum(r.squared);let a=(await r.sum.data())[0]/(e.shape[1]||1)/(e.shape[2]||1)/255/3;return bt.dispose([r.input1,r.input2,r.diff,r.squared,r.sum]),a}var z0,L0,V0,aA=class{constructor(){if(He(this,"browser"),He(this,"node"),He(this,"worker"),He(this,"platform",""),He(this,"agent",""),He(this,"backends",[]),He(this,"initial"),He(this,"filter"),He(this,"tfjs"),He(this,"offscreen"),He(this,"perfadd",!1),He(this,"tensorflow",{version:void 0,gpu:void 0}),He(this,"wasm",{supported:void 0,backend:void 0,simd:void 0,multithread:void 0}),He(this,"webgl",{supported:void 0,backend:void 0,version:void 0,renderer:void 0,shader:void 0,vendor:void 0}),He(this,"webgpu",{supported:void 0,backend:void 0,adapter:void 0}),He(this,"cpu",{model:void 0,flags:[]}),He(this,"kernels",[]),cu(this,z0),cu(this,L0),cu(this,V0),this.browser=typeof navigator<"u"&&typeof navigator.appVersion<"u",this.node=typeof process<"u"&&typeof process.versions<"u"&&typeof process.versions.node<"u",this.tfjs={version:Ko.version["tfjs-core"]},this.offscreen=typeof OffscreenCanvas<"u",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope<"u":void 0,typeof navigator<"u"&&typeof navigator.userAgent<"u"){let t=navigator.userAgent||"",e=t.match(/\(([^()]+)\)/g);if(e!=null&&e[0]){let n=e[0].match(/\(([^()]+)\)/g);this.platform=n!=null&&n[0]?n[0].replace(/\(|\)/g,""):"",this.agent=t.replace(e[0],""),this.platform[1]&&(this.agent=this.agent.replace(e[1],"")),this.agent=this.agent.replace(/ /g," ")}}else typeof process<"u"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Di(this,z0)}set Canvas(t){Sl(this,z0,t),globalThis.Canvas=t}get Image(){return Di(this,L0)}set Image(t){Sl(this,L0,t),globalThis.Image=t}get ImageData(){return Di(this,V0)}set ImageData(t){Sl(this,V0,t),globalThis.ImageData=t}async updateBackend(){this.backends=Object.keys(Ko.engine().registryFactory);try{this.tensorflow={version:Ko.backend().binding?Ko.backend().binding.TF_Version:void 0,gpu:Ko.backend().binding?Ko.backend().binding.isUsingGpuDevice():void 0}}catch{}this.wasm.supported=typeof WebAssembly<"u",this.wasm.backend=this.backends.includes("wasm"),this.wasm.supported&&this.wasm.backend&&(this.wasm.simd=await Ko.env().getAsync("WASM_HAS_SIMD_SUPPORT"),this.wasm.multithread=await Ko.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT"));let t=hu(100,100),e=t?t.getContext("webgl2"):void 0;this.webgl.supported=typeof e<"u",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&e&&(this.webgl.version=e.getParameter(e.VERSION),this.webgl.vendor=e.getParameter(e.VENDOR),this.webgl.renderer=e.getParameter(e.RENDERER),this.webgl.shader=e.getParameter(e.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator<"u"&&typeof navigator.gpu<"u",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let n=await navigator.gpu.requestAdapter();n&&("requestAdapterInfo"in n?this.webgpu.adapter=await n.requestAdapterInfo():this.webgpu.adapter=await n.info)}}catch{this.webgpu.supported=!1}try{this.kernels=Ko.getKernelsForBackend(Ko.getBackend()).map(n=>n.kernelName.toLowerCase())}catch{}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};z0=new WeakMap,L0=new WeakMap,V0=new WeakMap;var _e=new aA,k$=class{constructor(){He(this,"config"),He(this,"element"),He(this,"stream"),He(this,"devices",[]),He(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(e=>e.kind==="videoinput")}catch{this.devices=[]}return this.devices}),He(this,"start",async t=>{var e,n;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let a=document.getElementById(t.element);if(a&&a instanceof HTMLVideoElement)this.element=a;else return this.config.debug&&fe("webcam","cannot get dom element",t.element),`webcam error: cannot get dom element: ${t.element}`}else if(t.element instanceof HTMLVideoElement)this.element=t.element;else return this.config.debug&&fe("webcam","unknown dom element",t.element),`webcam error: unknown dom element: ${t.element}`;else this.element=document.createElement("video");let r={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none"}};if(((e=this.config)==null?void 0:e.width)>0&&(r.video.width={ideal:this.config.width}),((n=this.config)==null?void 0:n.height)>0&&(r.video.height={ideal:this.config.height}),this.config.id&&(r.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&fe("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&fe("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices))return this.config.debug&&fe("webcam error","no devices"),"webcam 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