face-api.js/dist/face-api.min.js

JavaScript API for face detection and face recognition in the browser with tensorflow.js

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Pt(t,e){if("string"!==t&&"string"!==e)return Ot[t][e];if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}function Bt(t){return Pt(t,"int32")}function Lt(t,e){if(t.dtype===e.dtype)return[t,e];var n=Pt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Wt(t,e){P(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function zt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof bt)n.push(e);else if(o=e,Array.isArray(o)||"object"==typeof o){var o,i=e;for(var a in i){var s=i[a];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}var Ut,Vt=Object.freeze({makeTypesMatch:Lt,assertTypesMatch:Wt,isTensorInList:function(e,t){return t.some(function(t){return t.id===e.id})},getTensorsInContainer:zt}),Gt=(jt.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},jt),Ht=(qt.prototype.ready=function(){return y(this,void 0,void 0,function(){var e,n,r;return R(this,function(t){switch(t.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then(function(){})];if(null!=this.backendInstance)return[2];e=this.getSortedBackends(),n=0,t.label=1;case 1:return n<e.length?(r=e[n],[4,this.initializeBackend(r).success]):[3,5];case 2:return t.sent()?[4,this.setBackend(r)]:[3,4];case 3:return t.sent(),[2];case 4:return n++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(qt.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),qt.prototype.backendNames=function(){return Object.keys(this.registryFactory)},qt.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},qt.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},qt.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},qt.prototype.setBackend=function(o){return y(this,void 0,void 0,function(){var e,n,r;return R(this,function(t){switch(t.label){case 0:if(null==this.registryFactory[o])throw new Error("Backend name '"+o+"' not found in registry");return this.backendName=o,null!=this.registry[o]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(o),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=t.sent(),[3,3];case 2:r=n,t.label=3;case 3:if(!r)return[2,!1];t.label=4;case 4:return this.backendInstance=this.registry[o],this.setupRegisteredKernels(),this.profiler=new st(this.backendInstance),[2,!0]}})})},qt.prototype.setupRegisteredKernels=function(){var e=this;a(this.backendName).forEach(function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)})},qt.prototype.disposeRegisteredKernels=function(e){var n=this;a(e).forEach(function(t){null!=t.disposeFunc&&t.disposeFunc(n.registry[e])})},qt.prototype.initializeBackend=function(e){var n=this,t=this.registryFactory[e];if(null==t)throw new Error("Cannot initialize backend "+e+", no registration found.");try{var r=t.factory();if(Promise.resolve(r)!==r)return this.registry[e]=r,{success:!0,asyncInit:!1};var o=++this.pendingBackendInitId,i=r.then(function(t){return!(o<n.pendingBackendInitId||(n.registry[e]=t,n.pendingBackendInit=null))}).catch(function(t){return!(o<n.pendingBackendInitId||(n.pendingBackendInit=null,console.warn("Initialization of backend "+e+" failed"),console.warn(t.stack||t.message),1))});return{success:this.pendingBackendInit=i,asyncInit:!0}}catch(n){return console.warn("Initialization of backend "+e+" failed"),console.warn(n.stack||n.message),{success:!1,asyncInit:!1}}},qt.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},qt.prototype.getSortedBackends=function(){var n=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(t,e){return n.registryFactory[e].priority-n.registryFactory[t].priority})},qt.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,i=r.asyncInit;if(i||o)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")},qt.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),(n.backend=t).move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},qt.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun(function(){return r.startScope(o)},function(){return r.endScope(n)},function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n})},qt.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},qt.prototype.nextTensorId=function(){return qt.nextTensorId++},qt.prototype.nextVariableId=function(){return qt.nextVariableId++},qt.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],function(t){return{x:function(){return t.toFloat()}}},[]),e},qt.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},qt.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},qt.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach(function(t){o+="complex64"===t.dtype?3:1});var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=r-e-o-i;if(0<a)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+a+" data ids) after running '"+t+"'")},qt.prototype.runKernelFunc=function(n,o,t,i,a,s,u){var e,c=this;void 0===s&&(s=[]),void 0===u&&(u=[]);var r=[],l=this.isTapeOn();function h(t){l&&(r=t.map(function(t){return c.keep(c.clone(t))}))}null==i&&(i=null!=this.state.activeScope?this.state.activeScope.name:"");var f,p=this.state.numBytes,d=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,m=g(i,this.backendName);return f=null!=m?function(){var t=c.backend.numDataIds();v=m.kernelFunc({inputs:o,attrs:a,backend:c.backend});var e=Array.isArray(v)?v:[v];c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,t,e);var n=e.map(function(t){var e=t.dataId,n=t.shape,r=t.dtype;return c.makeTensorFromDataId(e,n,r)}),r=n.filter(function(t,e){return u[e]});return h((s||[]).slice().concat(r)),n}:function(){var t=c.backend.numDataIds();v=c.tidy(function(){return n(c.backend,h)});var e=Array.isArray(v)?v:[v];return c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(i,t,e),e},this.scopedRun(function(){return c.state.kernelDepth++},function(){return c.state.kernelDepth--},function(){e=c.ENV.getBool("DEBUG")?c.profiler.profileKernel(i,o,function(){return f()}):f()}),l&&this.addTapeNode(i,o,e,t,r),this.state.profiling&&this.state.activeProfile.kernels.push({name:i,bytesAdded:this.state.numBytes-p,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-d,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(o).map(function(t){return o[t].shape}),outputShapes:e.map(function(t){return t.shape})}),Array.isArray(v)?e:e[0]},qt.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&G(t[0])&&(o=t.map(function(t){return nt(t)}));var i=r.write(o,e,n),a=new bt(e,n,i,this.nextTensorId());if(this.incRef(a,r),"string"===n){var s=this.state.tensorInfo.get(i),u=V(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return a},qt.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new bt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},qt.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new Ft(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},qt.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Ft||this.track(t)},qt.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},qt.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},qt.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},qt.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,0<this.state.numStringTensors&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},qt.prototype.profile=function(r){return y(this,void 0,void 0,function(){var e,n;return R(this,function(t){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=r(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]})})},qt.prototype.isTapeOn=function(){return 0<this.state.gradientDepth&&0===this.state.kernelDepth},qt.prototype.addTapeNode=function(t,e,o,n,r){var i=this,a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:o,saved:r},s=l(t);null!=s&&(n=s.gradFunc),null!=n&&(a.gradient=function(t){return t=t.map(function(t,e){if(null!=t)return t;var n=o[e],r=Z(n.size,n.dtype);return i.makeTensor(r,n.shape,n.dtype)}),n(1<t.length?t:t[0],r)}),this.state.activeTape.push(a)},qt.prototype.keep=function(t){return t.kept=!0,t},qt.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},qt.prototype.endTape=function(){this.state.gradientDepth--},qt.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},qt.prototype.endScope=function(t){for(var e=this,n=zt(t),r=new Set(n.map(function(t){return t.id})),o=0;o<this.state.activeScope.track.length;o++){var i=this.state.activeScope.track[o];i.kept||r.has(i.id)||i.dispose()}var a=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach(function(t){t.kept||t.scopeId!==a.id||e.track(t)})},qt.prototype.gradients=function(t,o,i,e){var u=this;if(void 0===e&&(e=!1),P(0<o.length,function(){return"gradients() received an empty list of xs."}),null!=i&&"float32"!==i.dtype)throw new Error("dy must have 'float32' dtype, but has '"+i.dtype+"'");var a=this.scopedRun(function(){return u.startTape()},function(){return u.endTape()},function(){return u.tidy("forward",t)});P(a instanceof bt,function(){return"The result y returned by f() must be a tensor."});var s=function(t,e,n){for(var r={},o={},i=0;i<e.length;i++)r[e[i].id]=!0;for(i=0;i<t.length;i++){var a=(d=t[i]).inputs;for(var s in a){for(var u=a[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){d.outputs.forEach(function(t){return r[t.id]=!0}),c=!0,o[d.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var f={};for(i=t.length-1;0<=i;i--)for(a=(d=t[i]).inputs,l=0;l<d.outputs.length;l++)if(h[d.outputs[l].id]){for(var s in a)h[a[s].id]=!0,f[d.id]=!0;break}var p=[];for(i=0;i<t.length;i++){var d;if(o[(d=t[i]).id]&&f[d.id]){var v={};for(var s in d.inputs){var m=d.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},d);g.inputs=v,g.outputs=d.outputs,p.push(g)}}return p}(this.state.activeTape,o,a);if(!e&&0===s.length&&0<o.length)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var t,e,n={};n[a.id]=null==i?(e=Q(L(t=a.shape),"float32"),Kt.makeTensor(e,t,"float32")):i,function(a,s){for(var t=function(t){var o=s[t],n=[];if(o.outputs.forEach(function(t){var e=a[t.id];null!=e?n.push(e):n.push(null)}),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.kernelName+".");function e(t){if(!(t in i))throw new Error("Cannot backprop through input "+t+". Available gradients found: "+Object.keys(i)+".");var e=function(t){return u.tidy(t)}(function(){return i[t]()});if("float32"!==e.dtype)throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+t+" must have 'float32' dtype, but has '"+e.dtype+"'");var n=o.inputs[t];if(!A(e.shape,n.shape))throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input '"+t+"' has shape '"+e.shape+"', which does not match the shape of the input '"+n.shape+"'");if(null==a[n.id])a[n.id]=e;else{var r=a[n.id];a[n.id]=r.add(e),r.dispose()}}var i=o.gradient(n);for(var r in o.inputs)e(r)},e=s.length-1;0<=e;e--)t(e)}(n,s);var r=o.map(function(t){return n[t.id]});return 0===u.state.gradientDepth&&(u.state.activeTape.forEach(function(t){for(var e=0,n=t.saved;e<n.length;e++)n[e].dispose()}),u.state.activeTape=null),{