tfjs-tiny-yolov2/dist/tiny-yolov2.min.js

Tiny YOLO v2 object detection with tensorflow.js.

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this.throwIfDisposed(),rt.greater(this,t)},r.prototype.greaterStrict=function(t){return this.throwIfDisposed(),rt.greaterStrict(this,t)},r.prototype.greaterEqual=function(t){return this.throwIfDisposed(),rt.greaterEqual(this,t)},r.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),rt.greaterEqualStrict(this,t)},r.prototype.logicalAnd=function(t){return this.throwIfDisposed(),rt.logicalAnd(this,t)},r.prototype.logicalOr=function(t){return this.throwIfDisposed(),rt.logicalOr(this,t)},r.prototype.logicalNot=function(){return this.throwIfDisposed(),rt.logicalNot(this)},r.prototype.logicalXor=function(t){return this.throwIfDisposed(),rt.logicalXor(this,t)},r.prototype.where=function(t,e){return this.throwIfDisposed(),rt.where(t,this,e)},r.prototype.neg=function(){return this.throwIfDisposed(),rt.neg(this)},r.prototype.ceil=function(){return this.throwIfDisposed(),rt.ceil(this)},r.prototype.floor=function(){return 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this.throwIfDisposed(),rt.elu(this)},r.prototype.selu=function(){return this.throwIfDisposed(),rt.selu(this)},r.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),rt.leakyRelu(this,t)},r.prototype.prelu=function(t){return this.throwIfDisposed(),rt.prelu(this,t)},r.prototype.sigmoid=function(){return this.throwIfDisposed(),rt.sigmoid(this)},r.prototype.logSigmoid=function(){return this.throwIfDisposed(),rt.logSigmoid(this)},r.prototype.softplus=function(){return this.throwIfDisposed(),rt.softplus(this)},r.prototype.zerosLike=function(){return this.throwIfDisposed(),rt.zerosLike(this)},r.prototype.onesLike=function(){return this.throwIfDisposed(),rt.onesLike(this)},r.prototype.sin=function(){return this.throwIfDisposed(),rt.sin(this)},r.prototype.cos=function(){return this.throwIfDisposed(),rt.cos(this)},r.prototype.tan=function(){return this.throwIfDisposed(),rt.tan(this)},r.prototype.asin=function(){return this.throwIfDisposed(),rt.asin(this)},r.prototype.acos=function(){return this.throwIfDisposed(),rt.acos(this)},r.prototype.atan=function(){return this.throwIfDisposed(),rt.atan(this)},r.prototype.sinh=function(){return this.throwIfDisposed(),rt.sinh(this)},r.prototype.cosh=function(){return this.throwIfDisposed(),rt.cosh(this)},r.prototype.tanh=function(){return this.throwIfDisposed(),rt.tanh(this)},r.prototype.asinh=function(){return this.throwIfDisposed(),rt.asinh(this)},r.prototype.acosh=function(){return this.throwIfDisposed(),rt.acosh(this)},r.prototype.atanh=function(){return this.throwIfDisposed(),rt.atanh(this)},r.prototype.erf=function(){return this.throwIfDisposed(),rt.erf(this)},r.prototype.round=function(){return this.throwIfDisposed(),rt.round(this)},r.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),rt.step(this,t)},r.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),rt.softmax(this,t)},r.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),rt.logSoftmax(this,t)},r.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),rt.image.resizeBilinear(this,t,e)},r.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),rt.image.resizeNearestNeighbor(this,t,e)},r.prototype.conv1d=function(t,e,n,r,o,i){return void 0===r&&(r="NWC"),void 0===o&&(o=1),this.throwIfDisposed(),rt.conv1d(this,t,e,n,r,o,i)},r.prototype.conv2d=function(t,e,n,r,o,i){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),rt.conv2d(this,t,e,n,r,o,i)},r.prototype.conv2dTranspose=function(t,e,n,r,o){return this.throwIfDisposed(),rt.conv2dTranspose(this,t,e,n,r,o)},r.prototype.depthwiseConv2D=function(t,e,n,r,o,i){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),rt.depthwiseConv2d(this,t,e,n,r,o,i)},r.prototype.separableConv2d=function(t,e,n,r,o,i){return void 0===o&&(o=[1,1]),void 0===i&&(i="NHWC"),this.throwIfDisposed(),rt.separableConv2d(this,t,e,n,r,o,i)},r.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),rt.avgPool(this,t,e,n,r)},r.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),rt.maxPool(this,t,e,n,r)},r.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),rt.localResponseNormalization(this,t,e,n,r)},r.prototype.pool=function(t,e,n,r,o){return this.throwIfDisposed(),rt.pool(this,t,e,n,r,o)},r.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),at.variable(this,t,e,n)},r.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),rt.unsortedSegmentSum(this,t,e)},r.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),rt.batchToSpaceND(this,t,e)},r.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),rt.spaceToBatchND(this,t,e)},r.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),rt.topk(this,t,e)},r.prototype.stridedSlice=function(t,e,n,r,o){return void 0===r&&(r=0),void 0===o&&(o=0),this.throwIfDisposed(),rt.stridedSlice(this,t,e,n,r,o)},r.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),rt.depthToSpace(this,t,e)},r.prototype.fft=function(){return this.throwIfDisposed(),rt.spectral.fft(this)},r.prototype.ifft=function(){return this.throwIfDisposed(),rt.spectral.ifft(this)},r}();Object.defineProperty(it,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.shape&&null!=t.dtype}});var at=function(o){function i(t,e,n){void 0===e&&(e=!0);var r=o.call(this,t.shape,t.dtype,null,t.dataId)||this;r.trainable=e,r.name=n,null==r.name&&(r.name=nt().nextVariableId().toString());try{nt().registerVariable(r)}catch(t){throw nt().disposeTensor(r),t}return r}return s(i,o),i.variable=function(t,e,n,r){return void 0===e&&(e=!0),null!=r&&r!==t.dtype&&(t=t.asType(r)),new i(t,e,n)},i.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!y(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");nt().disposeTensor(this),this.dataId=t.dataId,nt().registerTensor(this)},i}(it);Object.defineProperty(at,Symbol.hasInstance,{value:function(t){return t instanceof it&&null!=t.assign&&t.assign instanceof Function}});var st,ut,ct,lt,ht,pt,ft,dt,mt,vt,gt=at.variable;(vt=st||(st={})).R0="R0",vt.R1="R1",vt.R2="R2",vt.R3="R3",vt.R4="R4",vt.R5="R5",vt.R6="R6",(mt=ut||(ut={})).float32="float32",mt.int32="int32",mt.bool="int32",mt.complex64="complex64",(dt=ct||(ct={})).float32="float32",dt.int32="int32",dt.bool="bool",dt.complex64="complex64",(ft=lt||(lt={})).float32="float32",ft.int32="float32",ft.bool="float32",ft.complex64="complex64",(pt=ht||(ht={})).float32="complex64",pt.int32="complex64",pt.bool="complex64",pt.complex64="complex64";var yt={float32:lt,int32:ut,bool:ct,complex64:ht};function xt(t,e){if("string"!==t&&"string"!==e)return yt[t][e];if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}function wt(t){return xt(t,"int32")}function bt(t,e){if(t.dtype===e.dtype)return[t,e];var n=xt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Et(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof it)n.push(e);else 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l={id:this.nextTapeNodeId++,name:s,inputs:e,outputs:Array.isArray(r)?r:[r]};null!=n&&(l.gradient=function(t){return n(t,i)}),this.activeTape.push(l)}return this.profiling&&this.activeProfile.kernels.push({name:s,bytesAdded:this.numBytes-u,totalBytesSnapshot:this.numBytes,tensorsAdded:this.numTensors-c,totalTensorsSnapshot:this.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShape:Array.isArray(r)?r.map(function(t){return t.shape}):r.shape}),r},t.prototype.registerTensor=function(t){var e=this.tensorInfo.has(t.dataId)?this.tensorInfo.get(t.dataId).refCount:0;if(this.numTensors++,"string"===t.dtype&&this.numStringTensors++,0===e){this.numDataBuffers++;var n=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(n=L(t.shape)*_(t.dtype)),this.tensorInfo.set(t.dataId,{backend:this.backend,dtype:t.dtype,shape:t.shape,bytes:n,refCount:0}),this.numBytes+=n,this.backend.register(t.dataId,t.shape,t.dtype)}this.tensorInfo.get(t.dataId).refCount++,t instanceof at||this.track(t)},t.prototype.registerVariable=function(t){if(null!=this.registeredVariables[t.name])throw new Error("Variable with name "+t.name+" was already registered");this.registeredVariables[t.name]=t},t.prototype.disposeTensor=function(t){if(this.tensorInfo.has(t.dataId)){this.keepTensors.has(t.id)&&this.keepTensors.delete(t.id),this.numTensors--,"string"===t.dtype&&this.numStringTensors--;var e=this.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.numBytes-=e.bytes),this.numDataBuffers--,e.backend.disposeData(t.dataId),this.tensorInfo.delete(t.dataId)):this.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.registeredVariables){var e=this.registeredVariables[t];this.disposeTensor(e),delete this.registeredVariables[t]}},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.numTensors,t.numDataBuffers=this.numDataBuffers,t.numBytes=this.numBytes,0<this.numStringTensors&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(r){return m(this,void 0,void 0,function(){var e,n;return C(this,function(t){return this.profiling=!0,e=this.numBytes,n=this.numTensors,this.activeProfile.kernels=[],this.activeProfile.result=r(),this.profiling=!1,this.activeProfile.peakBytes=Math.max.apply(Math,this.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.activeProfile.newBytes=this.numBytes-e,this.activeProfile.newTensors=this.numTensors-n,[2,this.activeProfile]})})},t.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},t.prototype.addTapeNode=function(t,e,r){var n={};t.forEach(function(t,e){n[e]=t});var o={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:n,outputs:[e],gradient:function(t){var n={};return r(t).forEach(function(t,e){n[e]=function(){return t}}),n}};this.activeTape.push(o)},t.prototype.keep=function(t){if(1===this.scopeStack.length&&this.safeMode)throw new Error("Safe mode is ON. 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