Merge pull request #19 from justadudewhohacks/commonjs

dist/NetInput.js → build/NetInput.js

-import { createCanvasFromMedia, getElement } from './utils';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var utils_1 = require("./utils");
 var NetInput = /** @class */ (function () {
     function NetInput(mediaArg, dims) {
         var _this = this;
@@ -8,7 +10,7 @@ var NetInput = /** @class */ (function () {
         if (!mediaArgArray.length) {
             throw new Error('NetInput - empty array passed as input');
         }
-        var medias = mediaArgArray.map(getElement);
+        var medias = mediaArgArray.map(utils_1.getElement);
         medias.forEach(function (media, i) {
             if (!(media instanceof HTMLImageElement || media instanceof HTMLVideoElement || media instanceof HTMLCanvasElement)) {
                 var idxHint = Array.isArray(mediaArg) ? " at input index " + i + ":" : '';
@@ -28,7 +30,7 @@ var NetInput = /** @class */ (function () {
         }
         // if input is batch type, make sure every canvas has the same dimensions
         var canvasDims = this.dims || dims;
-        this._canvases.push(createCanvasFromMedia(media, canvasDims));
+        this._canvases.push(utils_1.createCanvasFromMedia(media, canvasDims));
     };
     Object.defineProperty(NetInput.prototype, "canvases", {
         get: function () {
@@ -61,5 +63,5 @@ var NetInput = /** @class */ (function () {
     });
     return NetInput;
 }());
-export { NetInput };
+exports.NetInput = NetInput;
 //# sourceMappingURL=NetInput.js.map
\ No newline at end of file

build/NetInput.js.map

+{"version":3,"file":"NetInput.js","sourceRoot":"","sources":["../src/NetInput.ts"],"names":[],"mappings":";;AACA,iCAAqG;AAErG;IAGE,kBACE,QAAmB,EACnB,IAAiB;QAFnB,iBA2BC;QAvBC,IAAM,aAAa,GAAG,KAAK,CAAC,OAAO,CAAC,QAAQ,CAAC;YAC3C,CAAC,CAAC,QAAQ;YACV,CAAC,CAAC,CAAC,QAAQ,CAAC,CAAA;QAEd,IAAI,CAAC,aAAa,CAAC,MAAM,EAAE;YACzB,MAAM,IAAI,KAAK,CAAC,wCAAwC,CAAC,CAAA;SAC1D;QAED,IAAM,MAAM,GAAG,aAAa,CAAC,GAAG,CAAC,kBAAU,CAAC,CAAA;QAG5C,MAAM,CAAC,OAAO,CAAC,UAAC,KAAK,EAAE,CAAC;YACtB,IAAI,CAAC,CAAC,KAAK,YAAY,gBAAgB,IAAI,KAAK,YAAY,gBAAgB,IAAI,KAAK,YAAY,iBAAiB,CAAC,EAAE;gBACnH,IAAM,OAAO,GAAG,KAAK,CAAC,OAAO,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,qBAAmB,CAAC,MAAG,CAAC,CAAC,CAAC,EAAE,CAAA;gBACtE,IAAI,OAAO,aAAa,CAAC,CAAC,CAAC,KAAK,QAAQ,EAAE;oBACxC,MAAM,IAAI,KAAK,CAAC,eAAa,OAAO,qEAAkE,CAAC,CAAA;iBACxG;gBACD,MAAM,IAAI,KAAK,CAAC,eAAa,OAAO,kHAA+G,CAAC,CAAA;aACrJ;QACH,CAAC,CAAC,CAAA;QAEF,IAAI,CAAC,SAAS,GAAG,EAAE,CAAA;QACnB,MAAM,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,KAAI,CAAC,UAAU,CAAC,CAAC,EAAE,IAAI,CAAC,EAAxB,CAAwB,CAAC,CAAA;IAC/C,CAAC;IAEO,6BAAU,GAAlB,UAAmB,KAAoB,EAAE,IAAiB;QACxD,IAAI,KAAK,YAAY,iBAAiB,EAAE;YACtC,IAAI,CAAC,SAAS,CAAC,IAAI,CAAC,KAAK,CAAC,CAAA;YAC1B,OAAM;SACP;QAED,yEAAyE;QACzE,IAAM,UAAU,GAAG,IAAI,CAAC,IAAI,IAAI,IAAI,CAAA;QACpC,IAAI,CAAC,SAAS,CAAC,IAAI,CAAC,6BAAqB,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAA;IAC/D,CAAC;IAED,sBAAW,8BAAQ;aAAnB;YACE,OAAO,IAAI,CAAC,SAAS,CAAA;QACvB,CAAC;;;OAAA;IAED,sBAAW,2BAAK;aAAhB;YACE,OAAO,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,CAAC,KAAK,CAAA;QACxC,CAAC;;;OAAA;IAED,sBAAW,4BAAM;aAAjB;YACE,OAAO,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC,CAAC,MAAM,CAAA;QACzC,CAAC;;;OAAA;IAED,sBAAW,0BAAI;aAAf;YACQ,IAAA,SAAwB,EAAtB,gBAAK,EAAE,kBAAM,CAAS;YAC9B,OAAO,CAAC,KAAK,GAAG,CAAC,IAAI,MAAM,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAC,CAAC,IAAI,CAAA;QAC7D,CAAC;;;OAAA;IACH,eAAC;AAAD,CAAC,AA3DD,IA2DC;AA3DY,4BAAQ"}
\ No newline at end of file

dist/Point.js → build/Point.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 var Point = /** @class */ (function () {
     function Point(x, y) {
         this.x = x;
@@ -26,5 +28,5 @@ var Point = /** @class */ (function () {
     };
     return Point;
 }());
-export { Point };
+exports.Point = Point;
 //# sourceMappingURL=Point.js.map
\ No newline at end of file

build/Point.js.map

+{"version":3,"file":"Point.js","sourceRoot":"","sources":["../src/Point.ts"],"names":[],"mappings":";;AAKA;IAIE,eAAY,CAAS,EAAE,CAAS;QAC9B,IAAI,CAAC,CAAC,GAAG,CAAC,CAAA;QACV,IAAI,CAAC,CAAC,GAAG,CAAC,CAAA;IACZ,CAAC;IAEM,mBAAG,GAAV,UAAW,EAAU;QACnB,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAA;IAChD,CAAC;IAEM,mBAAG,GAAV,UAAW,EAAU;QACnB,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAA;IAChD,CAAC;IAEM,mBAAG,GAAV,UAAW,EAAU;QACnB,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAA;IAChD,CAAC;IAEM,mBAAG,GAAV,UAAW,EAAU;QACnB,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,GAAG,EAAE,CAAC,CAAC,CAAC,CAAA;IAChD,CAAC;IAEM,mBAAG,GAAV;QACE,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAA;IACtD,CAAC;IAEM,yBAAS,GAAhB;QACE,OAAO,IAAI,CAAC,IAAI,CAAC,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,EAAE,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IAC7D,CAAC;IAEM,qBAAK,GAAZ;QACE,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAA;IAC1D,CAAC;IACH,YAAC;AAAD,CAAC,AApCD,IAoCC;AApCY,sBAAK"}
\ No newline at end of file

dist/Rect.js → build/Rect.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 var Rect = /** @class */ (function () {
     function Rect(x, y, width, height) {
         this.x = x;
@@ -10,5 +12,5 @@ var Rect = /** @class */ (function () {
     };
     return Rect;
 }());
-export { Rect };
+exports.Rect = Rect;
 //# sourceMappingURL=Rect.js.map
\ No newline at end of file

build/Rect.js.map

+{"version":3,"file":"Rect.js","sourceRoot":"","sources":["../src/Rect.ts"],"names":[],"mappings":";;AAOA;IAME,cAAY,CAAS,EAAE,CAAS,EAAE,KAAa,EAAE,MAAc;QAC7D,IAAI,CAAC,CAAC,GAAG,CAAC,CAAA;QACV,IAAI,CAAC,CAAC,GAAG,CAAC,CAAA;QACV,IAAI,CAAC,KAAK,GAAG,KAAK,CAAA;QAClB,IAAI,CAAC,MAAM,GAAG,MAAM,CAAA;IACtB,CAAC;IAEM,oBAAK,GAAZ;QACE,OAAO,IAAI,IAAI,CACb,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,CAAC,EAClB,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,CAAC,EAClB,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,KAAK,CAAC,EACtB,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,MAAM,CAAC,CACxB,CAAA;IACH,CAAC;IACH,WAAC;AAAD,CAAC,AArBD,IAqBC;AArBY,oBAAI"}
\ No newline at end of file

dist/commons/convLayer.js → build/commons/convLayer.js

-import * as tf from '@tensorflow/tfjs-core';
-export function convLayer(x, params, padding, withRelu) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function convLayer(x, params, padding, withRelu) {
     if (padding === void 0) { padding = 'same'; }
     if (withRelu === void 0) { withRelu = false; }
     return tf.tidy(function () {
@@ -7,4 +9,5 @@ export function convLayer(x, params, padding, withRelu) {
         return withRelu ? tf.relu(out) : out;
     });
 }
+exports.convLayer = convLayer;
 //# sourceMappingURL=convLayer.js.map
\ No newline at end of file

build/commons/convLayer.js.map

+{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../src/commons/convLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,mBACE,CAAc,EACd,MAAkB,EAClB,OAAkC,EAClC,QAAyB;IADzB,wBAAA,EAAA,gBAAkC;IAClC,yBAAA,EAAA,gBAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,GAAG,GAAG,EAAE,CAAC,GAAG,CAChB,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,EAC7C,MAAM,CAAC,IAAI,CACG,CAAA;QAEhB,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;IACtC,CAAC,CAAC,CAAA;AACJ,CAAC;AAdD,8BAcC"}
\ No newline at end of file

dist/commons/extractConvParamsFactory.js → build/commons/extractConvParamsFactory.js

-import * as tf from '@tensorflow/tfjs-core';
-export function extractConvParamsFactory(extractWeights) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function extractConvParamsFactory(extractWeights) {
     return function (channelsIn, channelsOut, filterSize) {
         var filters = tf.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
         var bias = tf.tensor1d(extractWeights(channelsOut));
@@ -9,4 +11,5 @@ export function extractConvParamsFactory(extractWeights) {
         };
     };
 }
+exports.extractConvParamsFactory = extractConvParamsFactory;
 //# sourceMappingURL=extractConvParamsFactory.js.map
\ No newline at end of file

build/commons/extractConvParamsFactory.js.map

+{"version":3,"file":"extractConvParamsFactory.js","sourceRoot":"","sources":["../../src/commons/extractConvParamsFactory.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,kCAAyC,cAAsC;IAC7E,OAAO,UACL,UAAkB,EAClB,WAAmB,EACnB,UAAkB;QAElB,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CACzB,cAAc,CAAC,UAAU,GAAG,WAAW,GAAG,UAAU,GAAG,UAAU,CAAC,EAClE,CAAC,UAAU,EAAE,UAAU,EAAE,UAAU,EAAE,WAAW,CAAC,CAClD,CAAA;QACD,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAErD,OAAO;YACL,OAAO,SAAA;YACP,IAAI,MAAA;SACL,CAAA;IACH,CAAC,CAAA;AACH,CAAC;AAjBD,4DAiBC"}
\ No newline at end of file

dist/commons/extractWeightsFactory.js → build/commons/extractWeightsFactory.js

-export function extractWeightsFactory(weights) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+function extractWeightsFactory(weights) {
     var remainingWeights = weights;
     function extractWeights(numWeights) {
         var ret = remainingWeights.slice(0, numWeights);
@@ -13,4 +15,5 @@ export function extractWeightsFactory(weights) {
         getRemainingWeights: getRemainingWeights
     };
 }
+exports.extractWeightsFactory = extractWeightsFactory;
 //# sourceMappingURL=extractWeightsFactory.js.map
\ No newline at end of file

build/commons/extractWeightsFactory.js.map

+{"version":3,"file":"extractWeightsFactory.js","sourceRoot":"","sources":["../../src/commons/extractWeightsFactory.ts"],"names":[],"mappings":";;AAAA,+BAAsC,OAAqB;IACzD,IAAI,gBAAgB,GAAG,OAAO,CAAA;IAE9B,wBAAwB,UAAkB;QACxC,IAAM,GAAG,GAAG,gBAAgB,CAAC,KAAK,CAAC,CAAC,EAAE,UAAU,CAAC,CAAA;QACjD,gBAAgB,GAAG,gBAAgB,CAAC,KAAK,CAAC,UAAU,CAAC,CAAA;QACrD,OAAO,GAAG,CAAA;IACZ,CAAC;IAED;QACE,OAAO,gBAAgB,CAAA;IACzB,CAAC;IAED,OAAO;QACL,cAAc,gBAAA;QACd,mBAAmB,qBAAA;KACpB,CAAA;AACH,CAAC;AAjBD,sDAiBC"}
\ No newline at end of file

build/commons/getCenterPoint.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var Point_1 = require("../Point");
+function getCenterPoint(pts) {
+    return pts.reduce(function (sum, pt) { return sum.add(pt); }, new Point_1.Point(0, 0))
+        .div(new Point_1.Point(pts.length, pts.length));
+}
+exports.getCenterPoint = getCenterPoint;
+//# sourceMappingURL=getCenterPoint.js.map
\ No newline at end of file

build/commons/getCenterPoint.js.map

+{"version":3,"file":"getCenterPoint.js","sourceRoot":"","sources":["../../src/commons/getCenterPoint.ts"],"names":[],"mappings":";;AAAA,kCAAiC;AAEjC,wBAA+B,GAAY;IACzC,OAAO,GAAG,CAAC,MAAM,CAAC,UAAC,GAAG,EAAE,EAAE,IAAK,OAAA,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAX,CAAW,EAAE,IAAI,aAAK,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC;SACzD,GAAG,CAAC,IAAI,aAAK,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAC,MAAM,CAAC,CAAC,CAAA;AAC3C,CAAC;AAHD,wCAGC"}
\ No newline at end of file

dist/commons/isTensor.js → build/commons/isTensor.js

-import * as tf from '@tensorflow/tfjs-core';
-export function isTensor(tensor, dim) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function isTensor(tensor, dim) {
     return tensor instanceof tf.Tensor && tensor.shape.length === dim;
 }
-export function isTensor1D(tensor) {
+exports.isTensor = isTensor;
+function isTensor1D(tensor) {
     return isTensor(tensor, 1);
 }
-export function isTensor2D(tensor) {
+exports.isTensor1D = isTensor1D;
+function isTensor2D(tensor) {
     return isTensor(tensor, 2);
 }
-export function isTensor3D(tensor) {
+exports.isTensor2D = isTensor2D;
+function isTensor3D(tensor) {
     return isTensor(tensor, 3);
 }
-export function isTensor4D(tensor) {
+exports.isTensor3D = isTensor3D;
+function isTensor4D(tensor) {
     return isTensor(tensor, 4);
 }
+exports.isTensor4D = isTensor4D;
 //# sourceMappingURL=isTensor.js.map
\ No newline at end of file

build/commons/isTensor.js.map

+{"version":3,"file":"isTensor.js","sourceRoot":"","sources":["../../src/commons/isTensor.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,kBAAyB,MAAiB,EAAE,GAAW;IACrD,OAAO,MAAM,YAAY,EAAE,CAAC,MAAM,IAAI,MAAM,CAAC,KAAK,CAAC,MAAM,KAAK,GAAG,CAAA;AACnE,CAAC;AAFD,4BAEC;AAED,oBAA2B,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAFD,gCAEC;AAED,oBAA2B,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAFD,gCAEC;AAED,oBAA2B,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAFD,gCAEC;AAED,oBAA2B,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAFD,gCAEC"}
\ No newline at end of file

dist/commons/loadWeightMap.js → build/commons/loadWeightMap.js

-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-export function getModelUris(uri, defaultModelName) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var tf = require("@tensorflow/tfjs-core");
+function getModelUris(uri, defaultModelName) {
     var parts = (uri || '').split('/');
     var modelBaseUri = ((uri || '').endsWith('.json')
         ? parts.slice(0, parts.length - 1)
@@ -13,7 +15,8 @@ export function getModelUris(uri, defaultModelName) {
             : modelBaseUri + "/" + defaultManifestFilename);
     return { manifestUri: manifestUri, modelBaseUri: modelBaseUri };
 }
-export function loadWeightMap(uri, defaultModelName) {
+exports.getModelUris = getModelUris;
+function loadWeightMap(uri, defaultModelName) {
     return tslib_1.__awaiter(this, void 0, void 0, function () {
         var _a, manifestUri, modelBaseUri, manifest;
         return tslib_1.__generator(this, function (_b) {
@@ -29,4 +32,5 @@ export function loadWeightMap(uri, defaultModelName) {
         });
     });
 }
+exports.loadWeightMap = loadWeightMap;
 //# sourceMappingURL=loadWeightMap.js.map
\ No newline at end of file

build/commons/loadWeightMap.js.map

+{"version":3,"file":"loadWeightMap.js","sourceRoot":"","sources":["../../src/commons/loadWeightMap.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAE5C,sBAA6B,GAAuB,EAAE,gBAAwB;IAC5E,IAAM,KAAK,GAAG,CAAC,GAAG,IAAI,EAAE,CAAC,CAAC,KAAK,CAAC,GAAG,CAAC,CAAA;IAEpC,IAAM,YAAY,GAAG,CACnB,CAAC,GAAG,IAAI,EAAE,CAAC,CAAC,QAAQ,CAAC,OAAO,CAAC;QAC3B,CAAC,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,EAAE,KAAK,CAAC,MAAM,GAAG,CAAC,CAAC;QAClC,CAAC,CAAC,KAAK,CACV,CAAC,MAAM,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,EAAD,CAAC,CAAC,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAE1B,IAAM,uBAAuB,GAAM,gBAAgB,2BAAwB,CAAA;IAC3E,IAAM,WAAW,GAAG,CAAC,GAAG,IAAI,CAAC,YAAY;QACvC,CAAC,CAAC,uBAAuB;QACzB,CAAC,CAAC,CACA,GAAG,CAAC,QAAQ,CAAC,OAAO,CAAC;YACnB,CAAC,CAAC,GAAG;YACL,CAAC,CAAI,YAAY,SAAI,uBAAyB,CACjD,CAAA;IAEH,OAAO,EAAE,WAAW,aAAA,EAAE,YAAY,cAAA,EAAE,CAAA;AACtC,CAAC;AAnBD,oCAmBC;AAED,uBACE,GAAuB,EACvB,gBAAwB;;;;;;oBAGlB,KAAgC,YAAY,CAAC,GAAG,EAAE,gBAAgB,CAAC,EAAjE,WAAW,iBAAA,EAAE,YAAY,kBAAA,CAAwC;oBAEjD,qBAAM,KAAK,CAAC,WAAW,CAAC,EAAA;wBAA/B,qBAAM,CAAC,SAAwB,CAAC,CAAC,IAAI,EAAE,EAAA;;oBAAlD,QAAQ,GAAG,SAAuC;oBAExD,sBAAO,EAAE,CAAC,EAAE,CAAC,WAAW,CAAC,QAAQ,EAAE,YAAY,CAAC,EAAA;;;;CACjD;AAVD,sCAUC"}
\ No newline at end of file

dist/commons/types.js → build/commons/types.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file

dist/euclideanDistance.js → build/euclideanDistance.js

-export function euclideanDistance(arr1, arr2) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+function euclideanDistance(arr1, arr2) {
     if (arr1.length !== arr2.length)
         throw new Error('euclideanDistance: arr1.length !== arr2.length');
     var desc1 = Array.from(arr1);
@@ -7,4 +9,5 @@ export function euclideanDistance(arr1, arr2) {
         .map(function (val, i) { return val - desc2[i]; })
         .reduce(function (res, diff) { return res + Math.pow(diff, 2); }, 0));
 }
+exports.euclideanDistance = euclideanDistance;
 //# sourceMappingURL=euclideanDistance.js.map
\ No newline at end of file

build/euclideanDistance.js.map

+{"version":3,"file":"euclideanDistance.js","sourceRoot":"","sources":["../src/euclideanDistance.ts"],"names":[],"mappings":";;AAAA,2BAAkC,IAA6B,EAAE,IAA6B;IAC5F,IAAI,IAAI,CAAC,MAAM,KAAK,IAAI,CAAC,MAAM;QAC7B,MAAM,IAAI,KAAK,CAAC,gDAAgD,CAAC,CAAA;IAEnE,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAC9B,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAE9B,OAAO,IAAI,CAAC,IAAI,CACd,KAAK;SACF,GAAG,CAAC,UAAC,GAAG,EAAE,CAAC,IAAK,OAAA,GAAG,GAAG,KAAK,CAAC,CAAC,CAAC,EAAd,CAAc,CAAC;SAC/B,MAAM,CAAC,UAAC,GAAG,EAAE,IAAI,IAAK,OAAA,GAAG,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,CAAC,CAAC,EAAvB,CAAuB,EAAE,CAAC,CAAC,CACrD,CAAA;AACH,CAAC;AAZD,8CAYC"}
\ No newline at end of file

dist/extractFaceTensors.js → build/extractFaceTensors.js

-import * as tf from '@tensorflow/tfjs-core';
-import { FaceDetection } from './faceDetectionNet/FaceDetection';
-import { getImageTensor } from './getImageTensor';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var FaceDetection_1 = require("./faceDetectionNet/FaceDetection");
+var getImageTensor_1 = require("./getImageTensor");
 /**
  * Extracts the tensors of the image regions containing the detected faces.
  * Useful if you want to compute the face descriptors for the face images.
@@ -11,12 +13,12 @@ import { getImageTensor } from './getImageTensor';
  * @param detections The face detection results or face bounding boxes for that image.
  * @returns Tensors of the corresponding image region for each detected face.
  */
-export function extractFaceTensors(image, detections) {
+function extractFaceTensors(image, detections) {
     return tf.tidy(function () {
-        var imgTensor = getImageTensor(image);
+        var imgTensor = getImageTensor_1.getImageTensor(image);
         // TODO handle batches
         var _a = imgTensor.shape, batchSize = _a[0], imgHeight = _a[1], imgWidth = _a[2], numChannels = _a[3];
-        var boxes = detections.map(function (det) { return det instanceof FaceDetection
+        var boxes = detections.map(function (det) { return det instanceof FaceDetection_1.FaceDetection
             ? det.forSize(imgWidth, imgHeight).getBox().floor()
             : det; });
         var faceTensors = boxes.map(function (_a) {
@@ -26,4 +28,5 @@ export function extractFaceTensors(image, detections) {
         return faceTensors;
     });
 }
+exports.extractFaceTensors = extractFaceTensors;
 //# sourceMappingURL=extractFaceTensors.js.map
\ No newline at end of file

build/extractFaceTensors.js.map

+{"version":3,"file":"extractFaceTensors.js","sourceRoot":"","sources":["../src/extractFaceTensors.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,kEAAiE;AACjE,mDAAkD;AAKlD;;;;;;;;;GASG;AACH,4BACE,KAAuC,EACvC,UAAqC;IAErC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,SAAS,GAAG,+BAAc,CAAC,KAAK,CAAC,CAAA;QAEvC,sBAAsB;QAChB,IAAA,oBAA+D,EAA9D,iBAAS,EAAE,iBAAS,EAAE,gBAAQ,EAAE,mBAAW,CAAmB;QAErE,IAAM,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,6BAAa;YACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,QAAQ,EAAE,SAAS,CAAC,CAAC,MAAM,EAAE,CAAC,KAAK,EAAE;YACnD,CAAC,CAAC,GAAG,EAFA,CAEA,CACR,CAAA;QACD,IAAM,WAAW,GAAG,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;gBAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;YAClD,OAAA,EAAE,CAAC,KAAK,CAAC,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,EAAE,KAAK,EAAE,WAAW,CAAC,CAAC;QAAlE,CAAkE,CACnE,CAAA;QAED,OAAO,WAAW,CAAA;IACpB,CAAC,CAAC,CAAA;AACJ,CAAC;AArBD,gDAqBC"}
\ No newline at end of file

dist/extractFaces.js → build/extractFaces.js

-import { FaceDetection } from './faceDetectionNet/FaceDetection';
-import { createCanvas, getContext2dOrThrow } from './utils';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var FaceDetection_1 = require("./faceDetectionNet/FaceDetection");
+var utils_1 = require("./utils");
 /**
  * Extracts the image regions containing the detected faces.
  *
@@ -7,17 +9,18 @@ import { createCanvas, getContext2dOrThrow } from './utils';
  * @param detections The face detection results or face bounding boxes for that image.
  * @returns The Canvases of the corresponding image region for each detected face.
  */
-export function extractFaces(image, detections) {
-    var ctx = getContext2dOrThrow(image);
-    var boxes = detections.map(function (det) { return det instanceof FaceDetection
+function extractFaces(image, detections) {
+    var ctx = utils_1.getContext2dOrThrow(image);
+    var boxes = detections.map(function (det) { return det instanceof FaceDetection_1.FaceDetection
         ? det.forSize(image.width, image.height).getBox().floor()
         : det; });
     return boxes.map(function (_a) {
         var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
-        var faceImg = createCanvas({ width: width, height: height });
-        getContext2dOrThrow(faceImg)
+        var faceImg = utils_1.createCanvas({ width: width, height: height });
+        utils_1.getContext2dOrThrow(faceImg)
             .putImageData(ctx.getImageData(x, y, width, height), 0, 0);
         return faceImg;
     });
 }
+exports.extractFaces = extractFaces;
 //# sourceMappingURL=extractFaces.js.map
\ No newline at end of file

build/extractFaces.js.map

+{"version":3,"file":"extractFaces.js","sourceRoot":"","sources":["../src/extractFaces.ts"],"names":[],"mappings":";;AAAA,kEAAiE;AAEjE,iCAA4D;AAE5D;;;;;;GAMG;AACH,sBACE,KAAwB,EACxB,UAAqC;IAErC,IAAM,GAAG,GAAG,2BAAmB,CAAC,KAAK,CAAC,CAAA;IAEtC,IAAM,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,6BAAa;QACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,KAAK,CAAC,KAAK,EAAE,KAAK,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,CAAC,KAAK,EAAE;QACzD,CAAC,CAAC,GAAG,EAFA,CAEA,CACR,CAAA;IACD,OAAO,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;YAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;QACrC,IAAM,OAAO,GAAG,oBAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;QAC/C,2BAAmB,CAAC,OAAO,CAAC;aACzB,YAAY,CAAC,GAAG,CAAC,YAAY,CAAC,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;QAC5D,OAAO,OAAO,CAAA;IAChB,CAAC,CAAC,CAAA;AACJ,CAAC;AAjBD,oCAiBC"}
\ No newline at end of file

dist/faceDetectionNet/FaceDetection.js → build/faceDetectionNet/FaceDetection.js

-import { Rect } from '../Rect';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var Rect_1 = require("../Rect");
 var FaceDetection = /** @class */ (function () {
     function FaceDetection(score, relativeBox, imageDims) {
         var width = imageDims.width, height = imageDims.height;
         this._imageWidth = width;
         this._imageHeight = height;
         this._score = score;
-        this._box = new Rect(relativeBox.x * width, relativeBox.y * height, relativeBox.width * width, relativeBox.height * height);
+        this._box = new Rect_1.Rect(relativeBox.x * width, relativeBox.y * height, relativeBox.width * width, relativeBox.height * height);
     }
     FaceDetection.prototype.getScore = function () {
         return this._score;
@@ -20,12 +22,12 @@ var FaceDetection = /** @class */ (function () {
         return this._imageHeight;
     };
     FaceDetection.prototype.getRelativeBox = function () {
-        return new Rect(this._box.x / this._imageWidth, this._box.y / this._imageHeight, this._box.width / this._imageWidth, this._box.height / this._imageHeight);
+        return new Rect_1.Rect(this._box.x / this._imageWidth, this._box.y / this._imageHeight, this._box.width / this._imageWidth, this._box.height / this._imageHeight);
     };
     FaceDetection.prototype.forSize = function (width, height) {
         return new FaceDetection(this._score, this.getRelativeBox(), { width: width, height: height });
     };
     return FaceDetection;
 }());
-export { FaceDetection };
+exports.FaceDetection = FaceDetection;
 //# sourceMappingURL=FaceDetection.js.map
\ No newline at end of file

build/faceDetectionNet/FaceDetection.js.map

+{"version":3,"file":"FaceDetection.js","sourceRoot":"","sources":["../../src/faceDetectionNet/FaceDetection.ts"],"names":[],"mappings":";;AAAA,gCAA+B;AAG/B;IAME,uBACE,KAAa,EACb,WAAiB,EACjB,SAAqB;QAEb,IAAA,uBAAK,EAAE,yBAAM,CAAc;QACnC,IAAI,CAAC,WAAW,GAAG,KAAK,CAAA;QACxB,IAAI,CAAC,YAAY,GAAG,MAAM,CAAA;QAC1B,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,IAAI,GAAG,IAAI,WAAI,CAClB,WAAW,CAAC,CAAC,GAAG,KAAK,EACrB,WAAW,CAAC,CAAC,GAAG,MAAM,EACtB,WAAW,CAAC,KAAK,GAAG,KAAK,EACzB,WAAW,CAAC,MAAM,GAAG,MAAM,CAC5B,CAAA;IACH,CAAC;IAEM,gCAAQ,GAAf;QACE,OAAO,IAAI,CAAC,MAAM,CAAA;IACpB,CAAC;IAEM,8BAAM,GAAb;QACE,OAAO,IAAI,CAAC,IAAI,CAAA;IAClB,CAAC;IAEM,qCAAa,GAApB;QACE,OAAO,IAAI,CAAC,WAAW,CAAA;IACzB,CAAC;IAEM,sCAAc,GAArB;QACE,OAAO,IAAI,CAAC,YAAY,CAAA;IAC1B,CAAC;IAEM,sCAAc,GAArB;QACE,OAAO,IAAI,WAAI,CACb,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,IAAI,CAAC,WAAW,EAC9B,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,IAAI,CAAC,YAAY,EAC/B,IAAI,CAAC,IAAI,CAAC,KAAK,GAAG,IAAI,CAAC,WAAW,EAClC,IAAI,CAAC,IAAI,CAAC,MAAM,GAAG,IAAI,CAAC,YAAY,CACrC,CAAA;IACH,CAAC;IAEM,+BAAO,GAAd,UAAe,KAAa,EAAE,MAAc;QAC1C,OAAO,IAAI,aAAa,CACtB,IAAI,CAAC,MAAM,EACX,IAAI,CAAC,cAAc,EAAE,EACrB,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAC,CACjB,CAAA;IACH,CAAC;IACH,oBAAC;AAAD,CAAC,AAvDD,IAuDC;AAvDY,sCAAa"}
\ No newline at end of file

dist/faceDetectionNet/FaceDetectionNet.js → build/faceDetectionNet/FaceDetectionNet.js

-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { getImageTensor } from '../getImageTensor';
-import { padToSquare } from '../padToSquare';
-import { Rect } from '../Rect';
-import { extractParams } from './extractParams';
-import { FaceDetection } from './FaceDetection';
-import { loadQuantizedParams } from './loadQuantizedParams';
-import { mobileNetV1 } from './mobileNetV1';
-import { nonMaxSuppression } from './nonMaxSuppression';
-import { outputLayer } from './outputLayer';
-import { predictionLayer } from './predictionLayer';
-import { resizeLayer } from './resizeLayer';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var tf = require("@tensorflow/tfjs-core");
+var getImageTensor_1 = require("../getImageTensor");
+var padToSquare_1 = require("../padToSquare");
+var Rect_1 = require("../Rect");
+var extractParams_1 = require("./extractParams");
+var FaceDetection_1 = require("./FaceDetection");
+var loadQuantizedParams_1 = require("./loadQuantizedParams");
+var mobileNetV1_1 = require("./mobileNetV1");
+var nonMaxSuppression_1 = require("./nonMaxSuppression");
+var outputLayer_1 = require("./outputLayer");
+var predictionLayer_1 = require("./predictionLayer");
+var resizeLayer_1 = require("./resizeLayer");
 var FaceDetectionNet = /** @class */ (function () {
     function FaceDetectionNet() {
     }
@@ -28,7 +30,7 @@ var FaceDetectionNet = /** @class */ (function () {
                             throw new Error('FaceDetectionNet.load - expected model uri, or weights as Float32Array');
                         }
                         _a = this;
-                        return [4 /*yield*/, loadQuantizedParams(weightsOrUrl)];
+                        return [4 /*yield*/, loadQuantizedParams_1.loadQuantizedParams(weightsOrUrl)];
                     case 1:
                         _a._params = _b.sent();
                         return [2 /*return*/];
@@ -37,7 +39,7 @@ var FaceDetectionNet = /** @class */ (function () {
         });
     };
     FaceDetectionNet.prototype.extractWeights = function (weights) {
-        this._params = extractParams(weights);
+        this._params = extractParams_1.extractParams(weights);
     };
     FaceDetectionNet.prototype.forwardTensor = function (imgTensor) {
         var _this = this;
@@ -45,15 +47,15 @@ var FaceDetectionNet = /** @class */ (function () {
             throw new Error('FaceDetectionNet - load model before inference');
         }
         return tf.tidy(function () {
-            var resized = resizeLayer(imgTensor);
-            var features = mobileNetV1(resized, _this._params.mobilenetv1_params);
-            var _a = predictionLayer(features.out, features.conv11, _this._params.prediction_layer_params), boxPredictions = _a.boxPredictions, classPredictions = _a.classPredictions;
-            return outputLayer(boxPredictions, classPredictions, _this._params.output_layer_params);
+            var resized = resizeLayer_1.resizeLayer(imgTensor);
+            var features = mobileNetV1_1.mobileNetV1(resized, _this._params.mobilenetv1_params);
+            var _a = predictionLayer_1.predictionLayer(features.out, features.conv11, _this._params.prediction_layer_params), boxPredictions = _a.boxPredictions, classPredictions = _a.classPredictions;
+            return outputLayer_1.outputLayer(boxPredictions, classPredictions, _this._params.output_layer_params);
         });
     };
     FaceDetectionNet.prototype.forward = function (input) {
         var _this = this;
-        return tf.tidy(function () { return _this.forwardTensor(padToSquare(getImageTensor(input))); });
+        return tf.tidy(function () { return _this.forwardTensor(padToSquare_1.padToSquare(getImageTensor_1.getImageTensor(input))); });
     };
     FaceDetectionNet.prototype.locateFaces = function (input, minConfidence, maxResults) {
         if (minConfidence === void 0) { minConfidence = 0.8; }
@@ -66,10 +68,10 @@ var FaceDetectionNet = /** @class */ (function () {
                     case 0:
                         paddedHeightRelative = 1, paddedWidthRelative = 1;
                         _a = tf.tidy(function () {
-                            var imgTensor = getImageTensor(input);
+                            var imgTensor = getImageTensor_1.getImageTensor(input);
                             var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
                             imageDimensions = { width: width, height: height };
-                            imgTensor = padToSquare(imgTensor);
+                            imgTensor = padToSquare_1.padToSquare(imgTensor);
                             paddedHeightRelative = imgTensor.shape[1] / height;
                             paddedWidthRelative = imgTensor.shape[2] / width;
                             return _this.forwardTensor(imgTensor);
@@ -85,7 +87,7 @@ var FaceDetectionNet = /** @class */ (function () {
                     case 1:
                         scoresData = _c.apply(_b, [_d.sent()]);
                         iouThreshold = 0.5;
-                        indices = nonMaxSuppression(boxes, scoresData, maxResults, iouThreshold, minConfidence);
+                        indices = nonMaxSuppression_1.nonMaxSuppression(boxes, scoresData, maxResults, iouThreshold, minConfidence);
                         results = indices
                             .map(function (idx) {
                             var _a = [
@@ -96,7 +98,7 @@ var FaceDetectionNet = /** @class */ (function () {
                                 Math.max(0, boxes.get(idx, 1)),
                                 Math.min(1.0, boxes.get(idx, 3))
                             ].map(function (val) { return val * paddedWidthRelative; }), left = _b[0], right = _b[1];
-                            return new FaceDetection(scoresData[idx], new Rect(left, top, right - left, bottom - top), imageDimensions);
+                            return new FaceDetection_1.FaceDetection(scoresData[idx], new Rect_1.Rect(left, top, right - left, bottom - top), imageDimensions);
                         });
                         boxes.dispose();
                         scores.dispose();
@@ -107,5 +109,5 @@ var FaceDetectionNet = /** @class */ (function () {
     };
     return FaceDetectionNet;
 }());
-export { FaceDetectionNet };
+exports.FaceDetectionNet = FaceDetectionNet;
 //# sourceMappingURL=FaceDetectionNet.js.map
\ No newline at end of file

build/faceDetectionNet/FaceDetectionNet.js.map

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\ No newline at end of file

dist/faceDetectionNet/boxPredictionLayer.js → build/faceDetectionNet/boxPredictionLayer.js

-import * as tf from '@tensorflow/tfjs-core';
-import { convLayer } from '../commons/convLayer';
-export function boxPredictionLayer(x, params) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var convLayer_1 = require("../commons/convLayer");
+function boxPredictionLayer(x, params) {
     return tf.tidy(function () {
         var batchSize = x.shape[0];
-        var boxPredictionEncoding = tf.reshape(convLayer(x, params.box_encoding_predictor_params), [batchSize, -1, 1, 4]);
-        var classPrediction = tf.reshape(convLayer(x, params.class_predictor_params), [batchSize, -1, 3]);
+        var boxPredictionEncoding = tf.reshape(convLayer_1.convLayer(x, params.box_encoding_predictor_params), [batchSize, -1, 1, 4]);
+        var classPrediction = tf.reshape(convLayer_1.convLayer(x, params.class_predictor_params), [batchSize, -1, 3]);
         return {
             boxPredictionEncoding: boxPredictionEncoding,
             classPrediction: classPrediction
         };
     });
 }
+exports.boxPredictionLayer = boxPredictionLayer;
 //# sourceMappingURL=boxPredictionLayer.js.map
\ No newline at end of file

build/faceDetectionNet/boxPredictionLayer.js.map

+{"version":3,"file":"boxPredictionLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/boxPredictionLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,kDAAiD;AAIjD,4BACE,CAAc,EACd,MAA2B;IAE3B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,SAAS,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAE5B,IAAM,qBAAqB,GAAG,EAAE,CAAC,OAAO,CACtC,qBAAS,CAAC,CAAC,EAAE,MAAM,CAAC,6BAA6B,CAAC,EAClD,CAAC,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACtB,CAAA;QACD,IAAM,eAAe,GAAG,EAAE,CAAC,OAAO,CAChC,qBAAS,CAAC,CAAC,EAAE,MAAM,CAAC,sBAAsB,CAAC,EAC3C,CAAC,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CACnB,CAAA;QAED,OAAO;YACL,qBAAqB,uBAAA;YACrB,eAAe,iBAAA;SAChB,CAAA;IACH,CAAC,CAAC,CAAA;AACJ,CAAC;AAtBD,gDAsBC"}
\ No newline at end of file

dist/faceDetectionNet/extractParams.js → build/faceDetectionNet/extractParams.js

-import * as tf from '@tensorflow/tfjs-core';
-import { extractWeightsFactory } from '../commons/extractWeightsFactory';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var extractWeightsFactory_1 = require("../commons/extractWeightsFactory");
 function extractorsFactory(extractWeights) {
     function extractDepthwiseConvParams(numChannels) {
         var filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@@ -131,8 +133,8 @@ function extractorsFactory(extractWeights) {
         extractPredictionLayerParams: extractPredictionLayerParams
     };
 }
-export function extractParams(weights) {
-    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+function extractParams(weights) {
+    var _a = extractWeightsFactory_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
     var _b = extractorsFactory(extractWeights), extractMobilenetV1Params = _b.extractMobilenetV1Params, extractPredictionLayerParams = _b.extractPredictionLayerParams;
     var mobilenetv1_params = extractMobilenetV1Params();
     var prediction_layer_params = extractPredictionLayerParams();
@@ -149,4 +151,5 @@ export function extractParams(weights) {
         output_layer_params: output_layer_params
     };
 }
+exports.extractParams = extractParams;
 //# sourceMappingURL=extractParams.js.map
\ No newline at end of file

build/faceDetectionNet/extractParams.js.map

+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../src/faceDetectionNet/extractParams.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,0EAAyE;AAIzE,2BAA2B,cAAoD;IAE7E,oCAAoC,WAAmB;QACrD,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,GAAG,WAAW,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,WAAW,EAAE,CAAC,CAAC,CAAC,CAAA;QACxF,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QACjE,IAAM,iBAAiB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAClE,IAAM,eAAe,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAChE,IAAM,mBAAmB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAEpE,OAAO;YACL,OAAO,SAAA;YACP,gBAAgB,kBAAA;YAChB,iBAAiB,mBAAA;YACjB,eAAe,iBAAA;YACf,mBAAmB,qBAAA;SACpB,CAAA;IACH,CAAC;IAED,2BACE,UAAkB,EAClB,WAAmB,EACnB,UAAkB;QAElB,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CACzB,cAAc,CAAC,UAAU,GAAG,WAAW,GAAG,UAAU,GAAG,UAAU,CAAC,EAClE,CAAC,UAAU,EAAE,UAAU,EAAE,UAAU,EAAE,WAAW,CAAC,CAClD,CAAA;QACD,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAErD,OAAO;YACL,OAAO,SAAA;YACP,IAAI,MAAA;SACL,CAAA;IACH,CAAC;IAED,oCACE,UAAkB,EAClB,WAAmB,EACnB,UAAkB;QAEZ,IAAA,2DAGoD,EAFxD,oBAAO,EACP,cAAI,CACoD;QAE1D,OAAO;YACL,OAAO,SAAA;YACP,iBAAiB,EAAE,IAAI;SACxB,CAAA;IACH,CAAC;IAED,+BACE,UAAkB,EAClB,WAAmB;QAEnB,IAAM,qBAAqB,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;QACpE,IAAM,qBAAqB,GAAG,0BAA0B,CAAC,UAAU,EAAE,WAAW,EAAE,CAAC,CAAC,CAAA;QAEpF,OAAO;YACL,qBAAqB,uBAAA;YACrB,qBAAqB,uBAAA;SACtB,CAAA;IACH,CAAC;IAED;QAEE,IAAM,aAAa,GAAG,0BAA0B,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAE1D,IAAM,eAAe,GAAG;YACtB,CAAC,EAAE,EAAE,EAAE,CAAC;YACR,CAAC,EAAE,EAAE,GAAG,CAAC;YACT,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,GAAG,CAAC;YACV,CAAC,GAAG,EAAE,IAAI,CAAC;YACX,CAAC,IAAI,EAAE,IAAI,CAAC;SACb,CAAA;QAED,IAAM,gBAAgB,GAAG,eAAe,CAAC,GAAG,CAC1C,UAAC,EAAyB;gBAAxB,kBAAU,EAAE,mBAAW;YAAM,OAAA,qBAAqB,CAAC,UAAU,EAAE,WAAW,CAAC;QAA9C,CAA8C,CAC9E,CAAA;QAED,OAAO;YACL,aAAa,eAAA;YACb,gBAAgB,kBAAA;SACjB,CAAA;IAEH,CAAC;IAED;QACE,IAAM,aAAa,GAAG,0BAA0B,CAAC,IAAI,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC9D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,aAAa,GAAG,0BAA0B,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAC5D,IAAM,aAAa,GAAG,0BAA0B,CAAC,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;QAE5D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACrE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;QAC7D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACtE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAC/D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACrE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAC9D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACrE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAC9D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACrE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAC9D,IAAM,+BAA+B,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QACrE,IAAM,wBAAwB,GAAG,iBAAiB,CAAC,GAAG,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;QAE9D,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QACD,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QACD,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QACD,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QACD,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QACD,IAAM,sBAAsB,GAAG;YAC7B,6BAA6B,EAAE,+BAA+B;YAC9D,sBAAsB,EAAE,wBAAwB;SACjD,CAAA;QAED,OAAO;YACL,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,aAAa,eAAA;YACb,sBAAsB,wBAAA;YACtB,sBAAsB,wBAAA;YACtB,sBAAsB,wBAAA;YACtB,sBAAsB,wBAAA;YACtB,sBAAsB,wBAAA;YACtB,sBAAsB,wBAAA;SACvB,CAAA;IACH,CAAC;IAGD,OAAO;QACL,wBAAwB,0BAAA;QACxB,4BAA4B,8BAAA;KAC7B,CAAA;AAEH,CAAC;AAED,uBAA8B,OAAqB;IAC3C,IAAA,2DAG4B,EAFhC,kCAAc,EACd,4CAAmB,CACa;IAE5B,IAAA,sCAG+B,EAFnC,sDAAwB,EACxB,8DAA4B,CACO;IAErC,IAAM,kBAAkB,GAAG,wBAAwB,EAAE,CAAA;IACrD,IAAM,uBAAuB,GAAG,4BAA4B,EAAE,CAAA;IAC9D,IAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAC3B,cAAc,CAAC,IAAI,GAAG,CAAC,CAAC,EACxB,CAAC,CAAC,EAAE,IAAI,EAAE,CAAC,CAAC,CACb,CAAA;IACD,IAAM,mBAAmB,GAAG;QAC1B,SAAS,WAAA;KACV,CAAA;IAED,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,kBAAkB,oBAAA;QAClB,uBAAuB,yBAAA;QACvB,mBAAmB,qBAAA;KACpB,CAAA;AACH,CAAC;AA9BD,sCA8BC"}
\ No newline at end of file

build/faceDetectionNet/index.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var FaceDetectionNet_1 = require("./FaceDetectionNet");
+tslib_1.__exportStar(require("./FaceDetectionNet"), exports);
+function faceDetectionNet(weights) {
+    var net = new FaceDetectionNet_1.FaceDetectionNet();
+    net.extractWeights(weights);
+    return net;
+}
+exports.faceDetectionNet = faceDetectionNet;
+//# sourceMappingURL=index.js.map
\ No newline at end of file

build/faceDetectionNet/index.js.map

+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceDetectionNet/index.ts"],"names":[],"mappings":";;;AAAA,uDAAsD;AAEtD,6DAAmC;AAEnC,0BAAiC,OAAqB;IACpD,IAAM,GAAG,GAAG,IAAI,mCAAgB,EAAE,CAAA;IAClC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,4CAIC"}
\ No newline at end of file

dist/faceDetectionNet/loadQuantizedParams.js → build/faceDetectionNet/loadQuantizedParams.js

-import * as tslib_1 from "tslib";
-import { isTensor1D, isTensor4D, isTensor3D } from '../commons/isTensor';
-import { loadWeightMap } from '../commons/loadWeightMap';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var isTensor_1 = require("../commons/isTensor");
+var loadWeightMap_1 = require("../commons/loadWeightMap");
 var DEFAULT_MODEL_NAME = 'face_detection_model';
 function extractorsFactory(weightMap) {
     function extractPointwiseConvParams(prefix, idx) {
@@ -8,10 +10,10 @@ function extractorsFactory(weightMap) {
             filters: weightMap[prefix + "/Conv2d_" + idx + "_pointwise/weights"],
             batch_norm_offset: weightMap[prefix + "/Conv2d_" + idx + "_pointwise/convolution_bn_offset"]
         };
-        if (!isTensor4D(pointwise_conv_params.filters)) {
+        if (!isTensor_1.isTensor4D(pointwise_conv_params.filters)) {
             throw new Error("expected weightMap[" + prefix + "/Conv2d_" + idx + "_pointwise/weights] to be a Tensor4D, instead have " + pointwise_conv_params.filters);
         }
-        if (!isTensor1D(pointwise_conv_params.batch_norm_offset)) {
+        if (!isTensor_1.isTensor1D(pointwise_conv_params.batch_norm_offset)) {
             throw new Error("expected weightMap[" + prefix + "/Conv2d_" + idx + "_pointwise/convolution_bn_offset] to be a Tensor1D, instead have " + pointwise_conv_params.batch_norm_offset);
         }
         return pointwise_conv_params;
@@ -24,19 +26,19 @@ function extractorsFactory(weightMap) {
             batch_norm_mean: weightMap["MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/moving_mean"],
             batch_norm_variance: weightMap["MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/moving_variance"],
         };
-        if (!isTensor4D(depthwise_conv_params.filters)) {
+        if (!isTensor_1.isTensor4D(depthwise_conv_params.filters)) {
             throw new Error("expected weightMap[MobilenetV1/Conv2d_" + idx + "_depthwise/depthwise_weights] to be a Tensor4D, instead have " + depthwise_conv_params.filters);
         }
-        if (!isTensor1D(depthwise_conv_params.batch_norm_scale)) {
+        if (!isTensor_1.isTensor1D(depthwise_conv_params.batch_norm_scale)) {
             throw new Error("expected weightMap[MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/gamma] to be a Tensor1D, instead have " + depthwise_conv_params.batch_norm_scale);
         }
-        if (!isTensor1D(depthwise_conv_params.batch_norm_offset)) {
+        if (!isTensor_1.isTensor1D(depthwise_conv_params.batch_norm_offset)) {
             throw new Error("expected weightMap[MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/beta] to be a Tensor1D, instead have " + depthwise_conv_params.batch_norm_offset);
         }
-        if (!isTensor1D(depthwise_conv_params.batch_norm_mean)) {
+        if (!isTensor_1.isTensor1D(depthwise_conv_params.batch_norm_mean)) {
             throw new Error("expected weightMap[MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/moving_mean] to be a Tensor1D, instead have " + depthwise_conv_params.batch_norm_mean);
         }
-        if (!isTensor1D(depthwise_conv_params.batch_norm_variance)) {
+        if (!isTensor_1.isTensor1D(depthwise_conv_params.batch_norm_variance)) {
             throw new Error("expected weightMap[MobilenetV1/Conv2d_" + idx + "_depthwise/BatchNorm/moving_variance] to be a Tensor1D, instead have " + depthwise_conv_params.batch_norm_variance);
         }
         return {
@@ -61,16 +63,16 @@ function extractorsFactory(weightMap) {
                 bias: weightMap["Prediction/BoxPredictor_" + idx + "/ClassPredictor/biases"]
             }
         };
-        if (!isTensor4D(params.box_encoding_predictor_params.filters)) {
+        if (!isTensor_1.isTensor4D(params.box_encoding_predictor_params.filters)) {
             throw new Error("expected weightMap[Prediction/BoxPredictor_" + idx + "/BoxEncodingPredictor/weights] to be a Tensor4D, instead have " + params.box_encoding_predictor_params.filters);
         }
-        if (!isTensor1D(params.box_encoding_predictor_params.bias)) {
+        if (!isTensor_1.isTensor1D(params.box_encoding_predictor_params.bias)) {
             throw new Error("expected weightMap[Prediction/BoxPredictor_" + idx + "/BoxEncodingPredictor/biases] to be a Tensor1D, instead have " + params.box_encoding_predictor_params.bias);
         }
-        if (!isTensor4D(params.class_predictor_params.filters)) {
+        if (!isTensor_1.isTensor4D(params.class_predictor_params.filters)) {
             throw new Error("expected weightMap[Prediction/BoxPredictor_" + idx + "/ClassPredictor/weights] to be a Tensor4D, instead have " + params.class_predictor_params.filters);
         }
-        if (!isTensor1D(params.class_predictor_params.bias)) {
+        if (!isTensor_1.isTensor1D(params.class_predictor_params.bias)) {
             throw new Error("expected weightMap[Prediction/BoxPredictor_" + idx + "/ClassPredictor/biases] to be a Tensor1D, instead have " + params.class_predictor_params.bias);
         }
         return params;
@@ -98,17 +100,17 @@ function extractorsFactory(weightMap) {
         extractPredictionLayerParams: extractPredictionLayerParams
     };
 }
-export function loadQuantizedParams(uri) {
+function loadQuantizedParams(uri) {
     return tslib_1.__awaiter(this, void 0, void 0, function () {
         var weightMap, _a, extractMobilenetV1Params, extractPredictionLayerParams, extra_dim;
         return tslib_1.__generator(this, function (_b) {
             switch (_b.label) {
-                case 0: return [4 /*yield*/, loadWeightMap(uri, DEFAULT_MODEL_NAME)];
+                case 0: return [4 /*yield*/, loadWeightMap_1.loadWeightMap(uri, DEFAULT_MODEL_NAME)];
                 case 1:
                     weightMap = _b.sent();
                     _a = extractorsFactory(weightMap), extractMobilenetV1Params = _a.extractMobilenetV1Params, extractPredictionLayerParams = _a.extractPredictionLayerParams;
                     extra_dim = weightMap['Output/extra_dim'];
-                    if (!isTensor3D(extra_dim)) {
+                    if (!isTensor_1.isTensor3D(extra_dim)) {
                         throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have " + extra_dim);
                     }
                     return [2 /*return*/, {
@@ -122,4 +124,5 @@ export function loadQuantizedParams(uri) {
         });
     });
 }
+exports.loadQuantizedParams = loadQuantizedParams;
 //# sourceMappingURL=loadQuantizedParams.js.map
\ No newline at end of file

build/faceDetectionNet/loadQuantizedParams.js.map

+{"version":3,"file":"loadQuantizedParams.js","sourceRoot":"","sources":["../../src/faceDetectionNet/loadQuantizedParams.ts"],"names":[],"mappings":";;;AAAA,gDAAyE;AACzE,0DAAyD;AAGzD,IAAM,kBAAkB,GAAG,sBAAsB,CAAA;AAEjD,2BAA2B,SAAc;IAEvC,oCAAoC,MAAc,EAAE,GAAW;QAE7D,IAAM,qBAAqB,GAAG;YAC5B,OAAO,EAAE,SAAS,CAAI,MAAM,gBAAW,GAAG,uBAAoB,CAAC;YAC/D,iBAAiB,EAAE,SAAS,CAAI,MAAM,gBAAW,GAAG,qCAAkC,CAAC;SACxF,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,OAAO,CAAC,EAAE;YAC9C,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gBAAW,GAAG,2DAAsD,qBAAqB,CAAC,OAAS,CAAC,CAAA;SACjJ;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,iBAAiB,CAAC,EAAE;YACxD,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gBAAW,GAAG,yEAAoE,qBAAqB,CAAC,iBAAmB,CAAC,CAAA;SACzK;QAED,OAAO,qBAAqB,CAAA;IAC9B,CAAC;IAED,+BAA+B,GAAW;QAExC,IAAM,qBAAqB,GAAG;YAC5B,OAAO,EAAE,SAAS,CAAC,wBAAsB,GAAG,iCAA8B,CAAC;YAC3E,gBAAgB,EAAE,SAAS,CAAC,wBAAsB,GAAG,+BAA4B,CAAC;YAClF,iBAAiB,EAAE,SAAS,CAAC,wBAAsB,GAAG,8BAA2B,CAAC;YAClF,eAAe,EAAE,SAAS,CAAC,wBAAsB,GAAG,qCAAkC,CAAC;YACvF,mBAAmB,EAAE,SAAS,CAAC,wBAAsB,GAAG,yCAAsC,CAAC;SAChG,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,OAAO,CAAC,EAAE;YAC9C,MAAM,IAAI,KAAK,CAAC,2CAAyC,GAAG,qEAAgE,qBAAqB,CAAC,OAAS,CAAC,CAAA;SAC7J;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,gBAAgB,CAAC,EAAE;YACvD,MAAM,IAAI,KAAK,CAAC,2CAAyC,GAAG,mEAA8D,qBAAqB,CAAC,gBAAkB,CAAC,CAAA;SACpK;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,iBAAiB,CAAC,EAAE;YACxD,MAAM,IAAI,KAAK,CAAC,2CAAyC,GAAG,kEAA6D,qBAAqB,CAAC,iBAAmB,CAAC,CAAA;SACpK;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,eAAe,CAAC,EAAE;YACtD,MAAM,IAAI,KAAK,CAAC,2CAAyC,GAAG,yEAAoE,qBAAqB,CAAC,eAAiB,CAAC,CAAA;SACzK;QAED,IAAI,CAAC,qBAAU,CAAC,qBAAqB,CAAC,mBAAmB,CAAC,EAAE;YAC1D,MAAM,IAAI,KAAK,CAAC,2CAAyC,GAAG,6EAAwE,qBAAqB,CAAC,mBAAqB,CAAC,CAAA;SACjL;QAED,OAAO;YACL,qBAAqB,uBAAA;YACrB,qBAAqB,EAAE,0BAA0B,CAAC,aAAa,EAAE,GAAG,CAAC;SACtE,CAAA;IACH,CAAC;IAED;QACE,OAAO;YACL,aAAa,EAAE,0BAA0B,CAAC,aAAa,EAAE,CAAC,CAAC;YAC3D,gBAAgB,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,GAAG,CAAC,UAAC,CAAC,EAAE,CAAC,IAAK,OAAA,qBAAqB,CAAC,CAAC,GAAG,CAAC,CAAC,EAA5B,CAA4B,CAAC;SAChF,CAAA;IACH,CAAC;IAED,mCAAmC,GAAW;QAE5C,IAAM,MAAM,GAAG;YACb,6BAA6B,EAAE;gBAC7B,OAAO,EAAE,SAAS,CAAC,6BAA2B,GAAG,kCAA+B,CAAC;gBACjF,IAAI,EAAE,SAAS,CAAC,6BAA2B,GAAG,iCAA8B,CAAC;aAC9E;YACD,sBAAsB,EAAE;gBACtB,OAAO,EAAE,SAAS,CAAC,6BAA2B,GAAG,4BAAyB,CAAC;gBAC3E,IAAI,EAAE,SAAS,CAAC,6BAA2B,GAAG,2BAAwB,CAAC;aACxE;SACF,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,6BAA6B,CAAC,OAAO,CAAC,EAAE;YAC7D,MAAM,IAAI,KAAK,CAAC,gDAA8C,GAAG,sEAAiE,MAAM,CAAC,6BAA6B,CAAC,OAAS,CAAC,CAAA;SAClL;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,6BAA6B,CAAC,IAAI,CAAC,EAAE;YAC1D,MAAM,IAAI,KAAK,CAAC,gDAA8C,GAAG,qEAAgE,MAAM,CAAC,6BAA6B,CAAC,IAAM,CAAC,CAAA;SAC9K;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,sBAAsB,CAAC,OAAO,CAAC,EAAE;YACtD,MAAM,IAAI,KAAK,CAAC,gDAA8C,GAAG,gEAA2D,MAAM,CAAC,sBAAsB,CAAC,OAAS,CAAC,CAAA;SACrK;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,sBAAsB,CAAC,IAAI,CAAC,EAAE;YACnD,MAAM,IAAI,KAAK,CAAC,gDAA8C,GAAG,+DAA0D,MAAM,CAAC,sBAAsB,CAAC,IAAM,CAAC,CAAA;SACjK;QAED,OAAO,MAAM,CAAA;IACf,CAAC;IAED;QACE,OAAO;YACL,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,aAAa,EAAE,0BAA0B,CAAC,YAAY,EAAE,CAAC,CAAC;YAC1D,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;YACpD,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;YACpD,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;YACpD,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;YACpD,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;YACpD,sBAAsB,EAAE,yBAAyB,CAAC,CAAC,CAAC;SACrD,CAAA;IACH,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,4BAA4B,8BAAA;KAC7B,CAAA;AACH,CAAC;AAED,6BAA0C,GAAuB;;;;;wBAC7C,qBAAM,6BAAa,CAAC,GAAG,EAAE,kBAAkB,CAAC,EAAA;;oBAAxD,SAAS,GAAG,SAA4C;oBAExD,KAGF,iBAAiB,CAAC,SAAS,CAAC,EAF9B,wBAAwB,8BAAA,EACxB,4BAA4B,kCAAA,CACE;oBAE1B,SAAS,GAAG,SAAS,CAAC,kBAAkB,CAAC,CAAA;oBAC/C,IAAI,CAAC,qBAAU,CAAC,SAAS,CAAC,EAAE;wBAC1B,MAAM,IAAI,KAAK,CAAC,2EAAyE,SAAW,CAAC,CAAA;qBACtG;oBAED,sBAAO;4BACL,kBAAkB,EAAE,wBAAwB,EAAE;4BAC9C,uBAAuB,EAAE,4BAA4B,EAAE;4BACvD,mBAAmB,EAAE;gCACnB,SAAS,WAAA;6BACV;yBACF,EAAA;;;;CACF;AApBD,kDAoBC"}
\ No newline at end of file

dist/faceDetectionNet/mobileNetV1.js → build/faceDetectionNet/mobileNetV1.js

-import * as tf from '@tensorflow/tfjs-core';
-import { pointwiseConvLayer } from './pointwiseConvLayer';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var pointwiseConvLayer_1 = require("./pointwiseConvLayer");
 var epsilon = 0.0010000000474974513;
 function depthwiseConvLayer(x, params, strides) {
     return tf.tidy(function () {
@@ -11,15 +13,15 @@ function depthwiseConvLayer(x, params, strides) {
 function getStridesForLayerIdx(layerIdx) {
     return [2, 4, 6, 12].some(function (idx) { return idx === layerIdx; }) ? [2, 2] : [1, 1];
 }
-export function mobileNetV1(x, params) {
+function mobileNetV1(x, params) {
     return tf.tidy(function () {
         var conv11 = null;
-        var out = pointwiseConvLayer(x, params.conv_0_params, [2, 2]);
+        var out = pointwiseConvLayer_1.pointwiseConvLayer(x, params.conv_0_params, [2, 2]);
         params.conv_pair_params.forEach(function (param, i) {
             var layerIdx = i + 1;
             var depthwiseConvStrides = getStridesForLayerIdx(layerIdx);
             out = depthwiseConvLayer(out, param.depthwise_conv_params, depthwiseConvStrides);
-            out = pointwiseConvLayer(out, param.pointwise_conv_params, [1, 1]);
+            out = pointwiseConvLayer_1.pointwiseConvLayer(out, param.pointwise_conv_params, [1, 1]);
             if (layerIdx === 11) {
                 conv11 = out;
             }
@@ -33,4 +35,5 @@ export function mobileNetV1(x, params) {
         };
     });
 }
+exports.mobileNetV1 = mobileNetV1;
 //# sourceMappingURL=mobileNetV1.js.map
\ No newline at end of file

build/faceDetectionNet/mobileNetV1.js.map

+{"version":3,"file":"mobileNetV1.js","sourceRoot":"","sources":["../../src/faceDetectionNet/mobileNetV1.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2DAA0D;AAG1D,IAAM,OAAO,GAAG,qBAAqB,CAAA;AAErC,4BACE,CAAc,EACd,MAAuC,EACvC,OAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA;QAChE,GAAG,GAAG,EAAE,CAAC,kBAAkB,CACzB,GAAG,EACH,MAAM,CAAC,eAAe,EACtB,MAAM,CAAC,mBAAmB,EAC1B,OAAO,EACP,MAAM,CAAC,gBAAgB,EACvB,MAAM,CAAC,iBAAiB,CACzB,CAAA;QACD,OAAO,EAAE,CAAC,WAAW,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;IAElC,CAAC,CAAC,CAAA;AACJ,CAAC;AAED,+BAA+B,QAAgB;IAC7C,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,IAAI,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,KAAK,QAAQ,EAAhB,CAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;AACtE,CAAC;AAED,qBAA4B,CAAc,EAAE,MAA0B;IACpE,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,MAAM,GAAG,IAAI,CAAA;QACjB,IAAI,GAAG,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAE7D,MAAM,CAAC,gBAAgB,CAAC,OAAO,CAAC,UAAC,KAAK,EAAE,CAAC;YACvC,IAAM,QAAQ,GAAG,CAAC,GAAG,CAAC,CAAA;YACtB,IAAM,oBAAoB,GAAG,qBAAqB,CAAC,QAAQ,CAAC,CAAA;YAC5D,GAAG,GAAG,kBAAkB,CAAC,GAAG,EAAE,KAAK,CAAC,qBAAqB,EAAE,oBAAoB,CAAC,CAAA;YAChF,GAAG,GAAG,uCAAkB,CAAC,GAAG,EAAE,KAAK,CAAC,qBAAqB,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;YAClE,IAAI,QAAQ,KAAK,EAAE,EAAE;gBACnB,MAAM,GAAG,GAAG,CAAA;aACb;QACH,CAAC,CAAC,CAAA;QAEF,IAAI,MAAM,KAAK,IAAI,EAAE;YACnB,MAAM,IAAI,KAAK,CAAC,+CAA+C,CAAC,CAAA;SACjE;QAED,OAAO;YACL,GAAG,KAAA;YACH,MAAM,EAAE,MAAa;SACtB,CAAA;IAEH,CAAC,CAAC,CAAA;AACJ,CAAC;AA1BD,kCA0BC"}
\ No newline at end of file

dist/faceDetectionNet/nonMaxSuppression.js → build/faceDetectionNet/nonMaxSuppression.js

-export function nonMaxSuppression(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+function nonMaxSuppression(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
     var numBoxes = boxes.shape[0];
     var outputSize = Math.min(maxOutputSize, numBoxes);
     var candidates = scores
@@ -28,6 +30,7 @@ export function nonMaxSuppression(boxes, scores, maxOutputSize, iouThreshold, sc
     });
     return selected;
 }
+exports.nonMaxSuppression = nonMaxSuppression;
 function IOU(boxes, i, j) {
     var yminI = Math.min(boxes.get(i, 0), boxes.get(i, 2));
     var xminI = Math.min(boxes.get(i, 1), boxes.get(i, 3));

build/faceDetectionNet/nonMaxSuppression.js.map

+{"version":3,"file":"nonMaxSuppression.js","sourceRoot":"","sources":["../../src/faceDetectionNet/nonMaxSuppression.ts"],"names":[],"mappings":";;AAEA,2BACE,KAAkB,EAClB,MAAgB,EAChB,aAAqB,EACrB,YAAoB,EACpB,cAAsB;IAGtB,IAAM,QAAQ,GAAG,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC/B,IAAM,UAAU,GAAG,IAAI,CAAC,GAAG,CACzB,aAAa,EACb,QAAQ,CACT,CAAA;IAED,IAAM,UAAU,GAAG,MAAM;SACtB,GAAG,CAAC,UAAC,KAAK,EAAE,QAAQ,IAAK,OAAA,CAAC,EAAE,KAAK,OAAA,EAAE,QAAQ,UAAA,EAAE,CAAC,EAArB,CAAqB,CAAC;SAC/C,MAAM,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,CAAC,KAAK,GAAG,cAAc,EAAxB,CAAwB,CAAC;SACrC,IAAI,CAAC,UAAC,EAAE,EAAE,EAAE,IAAK,OAAA,EAAE,CAAC,KAAK,GAAG,EAAE,CAAC,KAAK,EAAnB,CAAmB,CAAC,CAAA;IAExC,IAAM,YAAY,GAAG,UAAC,CAAS,IAAK,OAAA,CAAC,IAAI,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAzB,CAAyB,CAAA;IAE7D,IAAM,QAAQ,GAAa,EAAE,CAAA;IAE7B,UAAU,CAAC,OAAO,CAAC,UAAA,CAAC;QAClB,IAAI,QAAQ,CAAC,MAAM,IAAI,UAAU,EAAE;YACjC,OAAM;SACP;QACD,IAAM,aAAa,GAAG,CAAC,CAAC,KAAK,CAAA;QAE7B,KAAK,IAAI,CAAC,GAAG,QAAQ,CAAC,MAAM,GAAG,CAAC,EAAE,CAAC,IAAI,CAAC,EAAE,EAAE,CAAC,EAAE;YAC7C,IAAM,GAAG,GAAG,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAA;YAC/C,IAAI,GAAG,KAAK,GAAG,EAAE;gBACf,SAAQ;aACT;YACD,CAAC,CAAC,KAAK,IAAI,YAAY,CAAC,GAAG,CAAC,CAAA;YAC5B,IAAI,CAAC,CAAC,KAAK,IAAI,cAAc,EAAE;gBAC7B,MAAK;aACN;SACF;QAED,IAAI,aAAa,KAAK,CAAC,CAAC,KAAK,EAAE;YAC7B,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC,QAAQ,CAAC,CAAA;SAC1B;IACH,CAAC,CAAC,CAAA;IAEF,OAAO,QAAQ,CAAA;AACjB,CAAC;AA9CD,8CA8CC;AAED,aAAa,KAAkB,EAAE,CAAS,EAAE,CAAS;IACnD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,CAAA;IAC/C,IAAM,KAAK,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,CAAA;IAC/C,IAAI,KAAK,IAAI,CAAC,IAAI,KAAK,IAAI,CAAC,EAAE;QAC5B,OAAO,GAAG,CAAA;KACX;IACD,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAClB,IAAI,CAAC,GAAG,CAAC,gBAAgB,GAAG,gBAAgB,EAAE,GAAG,CAAC;QAClD,IAAI,CAAC,GAAG,CAAC,gBAAgB,GAAG,gBAAgB,EAAE,GAAG,CAAC,CAAA;IACtD,OAAO,gBAAgB,GAAG,CAAC,KAAK,GAAG,KAAK,GAAG,gBAAgB,CAAC,CAAA;AAC9D,CAAC"}
\ No newline at end of file

dist/faceDetectionNet/outputLayer.js → build/faceDetectionNet/outputLayer.js

-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
 function getCenterCoordinatesAndSizesLayer(x) {
     var vec = tf.unstack(tf.transpose(x, [1, 0]));
     var sizes = [
@@ -28,7 +30,7 @@ function decodeBoxesLayer(x0, x1) {
         tf.add(add1_out, div1_out)
     ]), [1, 0]);
 }
-export function outputLayer(boxPredictions, classPredictions, params) {
+function outputLayer(boxPredictions, classPredictions, params) {
     return tf.tidy(function () {
         var batchSize = boxPredictions.shape[0];
         var boxes = decodeBoxesLayer(tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]), tf.reshape(boxPredictions, [-1, 4]));
@@ -44,4 +46,5 @@ export function outputLayer(boxPredictions, classPredictions, params) {
         };
     });
 }
+exports.outputLayer = outputLayer;
 //# sourceMappingURL=outputLayer.js.map
\ No newline at end of file

build/faceDetectionNet/outputLayer.js.map

+{"version":3,"file":"outputLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/outputLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAK5C,2CAA2C,CAAc;IACvD,IAAM,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAA;IAE/C,IAAM,KAAK,GAAG;QACZ,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC;QACtB,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC;KACvB,CAAA;IAED,IAAM,OAAO,GAAG;QACd,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC;QAC9C,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC;KAC/C,CAAA;IAED,OAAO;QACL,KAAK,OAAA;QACL,OAAO,SAAA;KACR,CAAA;AACH,CAAC;AAED,0BAA0B,EAAe,EAAE,EAAe;IAClD,IAAA,0CAGmC,EAFvC,gBAAK,EACL,oBAAO,CACgC;IAEzC,IAAM,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,SAAS,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAA;IAEhD,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAA;IAC7F,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAA;IAEpF,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAA;IAC7F,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAA;IAEpF,OAAO,EAAE,CAAC,SAAS,CACjB,EAAE,CAAC,KAAK,CAAC;QACP,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;KAC3B,CAAC,EACF,CAAC,CAAC,EAAE,CAAC,CAAC,CACP,CAAA;AACH,CAAC;AAED,qBACE,cAA2B,EAC3B,gBAA6B,EAC7B,MAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,SAAS,GAAG,cAAc,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAEzC,IAAI,KAAK,GAAG,gBAAgB,CAC1B,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,IAAI,CAAC,MAAM,CAAC,SAAS,EAAE,CAAC,SAAS,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,EAChF,EAAE,CAAC,OAAO,CAAC,cAAc,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,CACnD,CAAA;QACD,KAAK,GAAG,EAAE,CAAC,OAAO,CAChB,KAAK,EACL,CAAC,SAAS,EAAE,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,GAAG,SAAS,CAAC,EAAE,CAAC,CAAC,CAC7C,CAAA;QAED,IAAM,gBAAgB,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,KAAK,CAAC,gBAAgB,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACxF,IAAI,MAAM,GAAG,EAAE,CAAC,KAAK,CAAC,gBAAgB,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAc,CAAA;QAE5E,MAAM,GAAG,EAAE,CAAC,OAAO,CACjB,MAAM,EACN,CAAC,SAAS,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAC7B,CAAA;QAED,IAAM,YAAY,GAAG,EAAE,CAAC,OAAO,CAAC,KAAK,CAAkB,CAAA;QACvD,IAAM,aAAa,GAAG,EAAE,CAAC,OAAO,CAAC,MAAM,CAAkB,CAAA;QAEzD,OAAO;YACL,KAAK,EAAE,YAAY;YACnB,MAAM,EAAE,aAAa;SACtB,CAAA;IAEH,CAAC,CAAC,CAAA;AACJ,CAAC;AAnCD,kCAmCC"}
\ No newline at end of file

dist/faceDetectionNet/pointwiseConvLayer.js → build/faceDetectionNet/pointwiseConvLayer.js

-import * as tf from '@tensorflow/tfjs-core';
-export function pointwiseConvLayer(x, params, strides) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function pointwiseConvLayer(x, params, strides) {
     return tf.tidy(function () {
         var out = tf.conv2d(x, params.filters, strides, 'same');
         out = tf.add(out, params.batch_norm_offset);
         return tf.clipByValue(out, 0, 6);
     });
 }
+exports.pointwiseConvLayer = pointwiseConvLayer;
 //# sourceMappingURL=pointwiseConvLayer.js.map
\ No newline at end of file

build/faceDetectionNet/pointwiseConvLayer.js.map

+{"version":3,"file":"pointwiseConvLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/pointwiseConvLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,4BACE,CAAc,EACd,MAA2B,EAC3B,OAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA;QACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,iBAAiB,CAAC,CAAA;QAC3C,OAAO,EAAE,CAAC,WAAW,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;IAElC,CAAC,CAAC,CAAA;AACJ,CAAC;AAZD,gDAYC"}
\ No newline at end of file

build/faceDetectionNet/predictionLayer.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var boxPredictionLayer_1 = require("./boxPredictionLayer");
+var pointwiseConvLayer_1 = require("./pointwiseConvLayer");
+function predictionLayer(x, conv11, params) {
+    return tf.tidy(function () {
+        var conv0 = pointwiseConvLayer_1.pointwiseConvLayer(x, params.conv_0_params, [1, 1]);
+        var conv1 = pointwiseConvLayer_1.pointwiseConvLayer(conv0, params.conv_1_params, [2, 2]);
+        var conv2 = pointwiseConvLayer_1.pointwiseConvLayer(conv1, params.conv_2_params, [1, 1]);
+        var conv3 = pointwiseConvLayer_1.pointwiseConvLayer(conv2, params.conv_3_params, [2, 2]);
+        var conv4 = pointwiseConvLayer_1.pointwiseConvLayer(conv3, params.conv_4_params, [1, 1]);
+        var conv5 = pointwiseConvLayer_1.pointwiseConvLayer(conv4, params.conv_5_params, [2, 2]);
+        var conv6 = pointwiseConvLayer_1.pointwiseConvLayer(conv5, params.conv_6_params, [1, 1]);
+        var conv7 = pointwiseConvLayer_1.pointwiseConvLayer(conv6, params.conv_7_params, [2, 2]);
+        var boxPrediction0 = boxPredictionLayer_1.boxPredictionLayer(conv11, params.box_predictor_0_params);
+        var boxPrediction1 = boxPredictionLayer_1.boxPredictionLayer(x, params.box_predictor_1_params);
+        var boxPrediction2 = boxPredictionLayer_1.boxPredictionLayer(conv1, params.box_predictor_2_params);
+        var boxPrediction3 = boxPredictionLayer_1.boxPredictionLayer(conv3, params.box_predictor_3_params);
+        var boxPrediction4 = boxPredictionLayer_1.boxPredictionLayer(conv5, params.box_predictor_4_params);
+        var boxPrediction5 = boxPredictionLayer_1.boxPredictionLayer(conv7, params.box_predictor_5_params);
+        var boxPredictions = tf.concat([
+            boxPrediction0.boxPredictionEncoding,
+            boxPrediction1.boxPredictionEncoding,
+            boxPrediction2.boxPredictionEncoding,
+            boxPrediction3.boxPredictionEncoding,
+            boxPrediction4.boxPredictionEncoding,
+            boxPrediction5.boxPredictionEncoding
+        ], 1);
+        var classPredictions = tf.concat([
+            boxPrediction0.classPrediction,
+            boxPrediction1.classPrediction,
+            boxPrediction2.classPrediction,
+            boxPrediction3.classPrediction,
+            boxPrediction4.classPrediction,
+            boxPrediction5.classPrediction
+        ], 1);
+        return {
+            boxPredictions: boxPredictions,
+            classPredictions: classPredictions
+        };
+    });
+}
+exports.predictionLayer = predictionLayer;
+//# sourceMappingURL=predictionLayer.js.map
\ No newline at end of file

build/faceDetectionNet/predictionLayer.js.map

+{"version":3,"file":"predictionLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/predictionLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2DAA0D;AAC1D,2DAA0D;AAG1D,yBACE,CAAc,EACd,MAAmB,EACnB,MAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,KAAK,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAErE,IAAM,cAAc,GAAG,uCAAkB,CAAC,MAAM,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAChF,IAAM,cAAc,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC3E,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAE/E,IAAM,cAAc,GAAG,EAAE,CAAC,MAAM,CAAC;YAC/B,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;SACrC,EAAE,CAAC,CAAgB,CAAA;QAEpB,IAAM,gBAAgB,GAAG,EAAE,CAAC,MAAM,CAAC;YACjC,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;SAC/B,EAAE,CAAC,CAAgB,CAAA;QAEpB,OAAO;YACL,cAAc,gBAAA;YACd,gBAAgB,kBAAA;SACjB,CAAA;IACH,CAAC,CAAC,CAAA;AACJ,CAAC;AA9CD,0CA8CC"}
\ No newline at end of file

dist/faceDetectionNet/resizeLayer.js → build/faceDetectionNet/resizeLayer.js

-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
 var resizedImageSize = [512, 512];
 var weight = tf.scalar(0.007843137718737125);
 var bias = tf.scalar(1);
-export function resizeLayer(x) {
+function resizeLayer(x) {
     return tf.tidy(function () {
         var resized = tf.image.resizeBilinear(x, resizedImageSize, false);
         return tf.sub(tf.mul(resized, weight), bias);
     });
 }
+exports.resizeLayer = resizeLayer;
 //# sourceMappingURL=resizeLayer.js.map
\ No newline at end of file

build/faceDetectionNet/resizeLayer.js.map

+{"version":3,"file":"resizeLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/resizeLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,IAAM,gBAAgB,GAAG,CAAC,GAAG,EAAE,GAAG,CAAqB,CAAA;AACvD,IAAM,MAAM,GAAG,EAAE,CAAC,MAAM,CAAC,oBAAoB,CAAC,CAAA;AAC9C,IAAM,IAAI,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAA;AAEzB,qBAA4B,CAAc;IACxC,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,OAAO,GAAG,EAAE,CAAC,KAAK,CAAC,cAAc,CAAC,CAAC,EAAE,gBAAgB,EAAE,KAAK,CAAC,CAAA;QACnE,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,OAAO,EAAE,MAAM,CAAC,EAAE,IAAI,CAAC,CAAA;IAE9C,CAAC,CAAC,CAAA;AACJ,CAAC;AAPD,kCAOC"}
\ No newline at end of file

dist/faceDetectionNet/types.js → build/faceDetectionNet/types.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file

dist/faceLandmarkNet/FaceLandmarkNet.js → build/faceLandmarkNet/FaceLandmarkNet.js

-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { convLayer } from '../commons/convLayer';
-import { getImageTensor } from '../getImageTensor';
-import { Point } from '../Point';
-import { extractParams } from './extractParams';
-import { FaceLandmarks } from './FaceLandmarks';
-import { fullyConnectedLayer } from './fullyConnectedLayer';
-import { loadQuantizedParams } from './loadQuantizedParams';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var tf = require("@tensorflow/tfjs-core");
+var convLayer_1 = require("../commons/convLayer");
+var getImageTensor_1 = require("../getImageTensor");
+var Point_1 = require("../Point");
+var extractParams_1 = require("./extractParams");
+var FaceLandmarks_1 = require("./FaceLandmarks");
+var fullyConnectedLayer_1 = require("./fullyConnectedLayer");
+var loadQuantizedParams_1 = require("./loadQuantizedParams");
 function conv(x, params) {
-    return convLayer(x, params, 'valid', true);
+    return convLayer_1.convLayer(x, params, 'valid', true);
 }
 function maxPool(x, strides) {
     if (strides === void 0) { strides = [2, 2]; }
@@ -31,7 +33,7 @@ var FaceLandmarkNet = /** @class */ (function () {
                             throw new Error('FaceLandmarkNet.load - expected model uri, or weights as Float32Array');
                         }
                         _a = this;
-                        return [4 /*yield*/, loadQuantizedParams(weightsOrUrl)];
+                        return [4 /*yield*/, loadQuantizedParams_1.loadQuantizedParams(weightsOrUrl)];
                     case 1:
                         _a._params = _b.sent();
                         return [2 /*return*/];
@@ -40,7 +42,7 @@ var FaceLandmarkNet = /** @class */ (function () {
         });
     };
     FaceLandmarkNet.prototype.extractWeights = function (weights) {
-        this._params = extractParams(weights);
+        this._params = extractParams_1.extractParams(weights);
     };
     FaceLandmarkNet.prototype.detectLandmarks = function (input) {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
@@ -54,7 +56,7 @@ var FaceLandmarkNet = /** @class */ (function () {
                         }
                         outTensor = tf.tidy(function () {
                             var params = _this._params;
-                            var imgTensor = getImageTensor(input);
+                            var imgTensor = getImageTensor_1.getImageTensor(input);
                             var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
                             imageDimensions = { width: width, height: height };
                             // work with 128 x 128 sized face images
@@ -73,8 +75,8 @@ var FaceLandmarkNet = /** @class */ (function () {
                             out = conv(out, params.conv6_params);
                             out = maxPool(out, [1, 1]);
                             out = conv(out, params.conv7_params);
-                            var fc0 = tf.relu(fullyConnectedLayer(out.as2D(out.shape[0], -1), params.fc0_params));
-                            var fc1 = fullyConnectedLayer(fc0, params.fc1_params);
+                            var fc0 = tf.relu(fullyConnectedLayer_1.fullyConnectedLayer(out.as2D(out.shape[0], -1), params.fc0_params));
+                            var fc1 = fullyConnectedLayer_1.fullyConnectedLayer(fc0, params.fc1_params);
                             return fc1;
                         });
                         _b = (_a = Array).from;
@@ -84,12 +86,12 @@ var FaceLandmarkNet = /** @class */ (function () {
                         outTensor.dispose();
                         xCoords = faceLandmarksArray.filter(function (c, i) { return (i - 1) % 2; });
                         yCoords = faceLandmarksArray.filter(function (c, i) { return i % 2; });
-                        return [2 /*return*/, new FaceLandmarks(Array(68).fill(0).map(function (_, i) { return new Point(xCoords[i], yCoords[i]); }), imageDimensions)];
+                        return [2 /*return*/, new FaceLandmarks_1.FaceLandmarks(Array(68).fill(0).map(function (_, i) { return new Point_1.Point(xCoords[i], yCoords[i]); }), imageDimensions)];
                 }
             });
         });
     };
     return FaceLandmarkNet;
 }());
-export { FaceLandmarkNet };
+exports.FaceLandmarkNet = FaceLandmarkNet;
 //# sourceMappingURL=FaceLandmarkNet.js.map
\ No newline at end of file

build/faceLandmarkNet/FaceLandmarkNet.js.map

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\ No newline at end of file

dist/faceLandmarkNet/FaceLandmarks.js → build/faceLandmarkNet/FaceLandmarks.js

-import { getCenterPoint } from '../commons/getCenterPoint';
-import { FaceDetection } from '../faceDetectionNet/FaceDetection';
-import { Point } from '../Point';
-import { Rect } from '../Rect';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var getCenterPoint_1 = require("../commons/getCenterPoint");
+var FaceDetection_1 = require("../faceDetectionNet/FaceDetection");
+var Point_1 = require("../Point");
+var Rect_1 = require("../Rect");
 // face alignment constants
 var relX = 0.5;
 var relY = 0.43;
 var relScale = 0.45;
 var FaceLandmarks = /** @class */ (function () {
     function FaceLandmarks(relativeFaceLandmarkPositions, imageDims, shift) {
-        if (shift === void 0) { shift = new Point(0, 0); }
+        if (shift === void 0) { shift = new Point_1.Point(0, 0); }
         var width = imageDims.width, height = imageDims.height;
         this._imageWidth = width;
         this._imageHeight = height;
         this._shift = shift;
-        this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point(width, height)).add(shift); });
+        this._faceLandmarks = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point_1.Point(width, height)).add(shift); });
     }
     FaceLandmarks.prototype.getShift = function () {
-        return new Point(this._shift.x, this._shift.y);
+        return new Point_1.Point(this._shift.x, this._shift.y);
     };
     FaceLandmarks.prototype.getImageWidth = function () {
         return this._imageWidth;
@@ -29,7 +31,7 @@ var FaceLandmarks = /** @class */ (function () {
     };
     FaceLandmarks.prototype.getRelativePositions = function () {
         var _this = this;
-        return this._faceLandmarks.map(function (pt) { return pt.sub(_this._shift).div(new Point(_this._imageWidth, _this._imageHeight)); });
+        return this._faceLandmarks.map(function (pt) { return pt.sub(_this._shift).div(new Point_1.Point(_this._imageWidth, _this._imageHeight)); });
     };
     FaceLandmarks.prototype.getJawOutline = function () {
         return this._faceLandmarks.slice(0, 17);
@@ -56,7 +58,7 @@ var FaceLandmarks = /** @class */ (function () {
         return new FaceLandmarks(this.getRelativePositions(), { width: width, height: height });
     };
     FaceLandmarks.prototype.shift = function (x, y) {
-        return new FaceLandmarks(this.getRelativePositions(), { width: this._imageWidth, height: this._imageHeight }, new Point(x, y));
+        return new FaceLandmarks(this.getRelativePositions(), { width: this._imageWidth, height: this._imageHeight }, new Point_1.Point(x, y));
     };
     /**
      * Aligns the face landmarks after face detection from the relative positions of the faces
@@ -71,7 +73,7 @@ var FaceLandmarks = /** @class */ (function () {
      */
     FaceLandmarks.prototype.align = function (detection) {
         if (detection) {
-            var box = detection instanceof FaceDetection
+            var box = detection instanceof FaceDetection_1.FaceDetection
                 ? detection.getBox().floor()
                 : detection;
             return this.shift(box.x, box.y).align();
@@ -80,18 +82,18 @@ var FaceLandmarks = /** @class */ (function () {
             this.getLeftEye(),
             this.getRightEye(),
             this.getMouth()
-        ].map(getCenterPoint);
+        ].map(getCenterPoint_1.getCenterPoint);
         var leftEyeCenter = centers[0], rightEyeCenter = centers[1], mouthCenter = centers[2];
         var distToMouth = function (pt) { return mouthCenter.sub(pt).magnitude(); };
         var eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
         var size = Math.floor(eyeToMouthDist / relScale);
-        var refPoint = getCenterPoint(centers);
+        var refPoint = getCenterPoint_1.getCenterPoint(centers);
         // TODO: pad in case rectangle is out of image bounds
         var x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
         var y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
-        return new Rect(x, y, size, size);
+        return new Rect_1.Rect(x, y, size, size);
     };
     return FaceLandmarks;
 }());
-export { FaceLandmarks };
+exports.FaceLandmarks = FaceLandmarks;
 //# sourceMappingURL=FaceLandmarks.js.map
\ No newline at end of file

build/faceLandmarkNet/FaceLandmarks.js.map

+{"version":3,"file":"FaceLandmarks.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/FaceLandmarks.ts"],"names":[],"mappings":";;AAAA,4DAA2D;AAC3D,mEAAkE;AAClE,kCAAiC;AACjC,gCAA+B;AAG/B,2BAA2B;AAC3B,IAAM,IAAI,GAAG,GAAG,CAAA;AAChB,IAAM,IAAI,GAAG,IAAI,CAAA;AACjB,IAAM,QAAQ,GAAG,IAAI,CAAA;AAErB;IAME,uBACE,6BAAsC,EACtC,SAAqB,EACrB,KAA8B;QAA9B,sBAAA,EAAA,YAAmB,aAAK,CAAC,CAAC,EAAE,CAAC,CAAC;QAEtB,IAAA,uBAAK,EAAE,yBAAM,CAAc;QACnC,IAAI,CAAC,WAAW,GAAG,KAAK,CAAA;QACxB,IAAI,CAAC,YAAY,GAAG,MAAM,CAAA;QAC1B,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,cAAc,GAAG,6BAA6B,CAAC,GAAG,CACrD,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,IAAI,aAAK,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,KAAK,CAAC,EAA3C,CAA2C,CAClD,CAAA;IACH,CAAC;IAEM,gCAAQ,GAAf;QACE,OAAO,IAAI,aAAK,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,EAAE,IAAI,CAAC,MAAM,CAAC,CAAC,CAAC,CAAA;IAChD,CAAC;IAEM,qCAAa,GAApB;QACE,OAAO,IAAI,CAAC,WAAW,CAAA;IACzB,CAAC;IAEM,sCAAc,GAArB;QACE,OAAO,IAAI,CAAC,YAAY,CAAA;IAC1B,CAAC;IAEM,oCAAY,GAAnB;QACE,OAAO,IAAI,CAAC,cAAc,CAAA;IAC5B,CAAC;IAEM,4CAAoB,GAA3B;QAAA,iBAIC;QAHC,OAAO,IAAI,CAAC,cAAc,CAAC,GAAG,CAC5B,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,KAAI,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,IAAI,aAAK,CAAC,KAAI,CAAC,WAAW,EAAE,KAAI,CAAC,YAAY,CAAC,CAAC,EAAvE,CAAuE,CAC9E,CAAA;IACH,CAAC;IAEM,qCAAa,GAApB;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,CAAC,EAAE,EAAE,CAAC,CAAA;IACzC,CAAC;IAEM,sCAAc,GAArB;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,uCAAe,GAAtB;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,+BAAO,GAAd;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,kCAAU,GAAjB;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,mCAAW,GAAlB;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,gCAAQ,GAAf;QACE,OAAO,IAAI,CAAC,cAAc,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IAC1C,CAAC;IAEM,+BAAO,GAAd,UAAe,KAAa,EAAE,MAAc;QAC1C,OAAO,IAAI,aAAa,CACtB,IAAI,CAAC,oBAAoB,EAAE,EAC3B,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAClB,CAAA;IACH,CAAC;IAEM,6BAAK,GAAZ,UAAa,CAAS,EAAE,CAAS;QAC/B,OAAO,IAAI,aAAa,CACtB,IAAI,CAAC,oBAAoB,EAAE,EAC3B,EAAE,KAAK,EAAE,IAAI,CAAC,WAAW,EAAE,MAAM,EAAE,IAAI,CAAC,YAAY,EAAE,EACtD,IAAI,aAAK,CAAC,CAAC,EAAE,CAAC,CAAC,CAChB,CAAA;IACH,CAAC;IAED;;;;;;;;;;OAUG;IACI,6BAAK,GAAZ,UACE,SAAgB;QAEhB,IAAI,SAAS,EAAE;YACb,IAAM,GAAG,GAAG,SAAS,YAAY,6BAAa;gBAC5C,CAAC,CAAC,SAAS,CAAC,MAAM,EAAE,CAAC,KAAK,EAAE;gBAC5B,CAAC,CAAC,SAAS,CAAA;YAEb,OAAO,IAAI,CAAC,KAAK,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,KAAK,EAAE,CAAA;SACxC;QAED,IAAM,OAAO,GAAG;YACd,IAAI,CAAC,UAAU,EAAE;YACjB,IAAI,CAAC,WAAW,EAAE;YAClB,IAAI,CAAC,QAAQ,EAAE;SAChB,CAAC,GAAG,CAAC,+BAAc,CAAC,CAAA;QAEd,IAAA,0BAAa,EAAE,2BAAc,EAAE,wBAAW,CAAW;QAC5D,IAAM,WAAW,GAAG,UAAC,EAAS,IAAK,OAAA,WAAW,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,SAAS,EAAE,EAA/B,CAA+B,CAAA;QAClE,IAAM,cAAc,GAAG,CAAC,WAAW,CAAC,aAAa,CAAC,GAAG,WAAW,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,CAAA;QAErF,IAAM,IAAI,GAAG,IAAI,CAAC,KAAK,CAAC,cAAc,GAAG,QAAQ,CAAC,CAAA;QAElD,IAAM,QAAQ,GAAG,+BAAc,CAAC,OAAO,CAAC,CAAA;QACxC,qDAAqD;QACrD,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAC7D,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAE7D,OAAO,IAAI,WAAI,CAAC,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,IAAI,CAAC,CAAA;IACnC,CAAC;IACH,oBAAC;AAAD,CAAC,AA9HD,IA8HC;AA9HY,sCAAa"}
\ No newline at end of file

dist/faceLandmarkNet/extractParams.js → build/faceLandmarkNet/extractParams.js

-import * as tf from '@tensorflow/tfjs-core';
-import { extractConvParamsFactory } from '../commons/extractConvParamsFactory';
-import { extractWeightsFactory } from '../commons/extractWeightsFactory';
-export function extractParams(weights) {
-    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
-    var extractConvParams = extractConvParamsFactory(extractWeights);
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var extractConvParamsFactory_1 = require("../commons/extractConvParamsFactory");
+var extractWeightsFactory_1 = require("../commons/extractWeightsFactory");
+function extractParams(weights) {
+    var _a = extractWeightsFactory_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var extractConvParams = extractConvParamsFactory_1.extractConvParamsFactory(extractWeights);
     function extractFcParams(channelsIn, channelsOut) {
         var fc_weights = tf.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
         var fc_bias = tf.tensor1d(extractWeights(channelsOut));
@@ -38,4 +40,5 @@ export function extractParams(weights) {
         fc1_params: fc1_params
     };
 }
+exports.extractParams = extractParams;
 //# sourceMappingURL=extractParams.js.map
\ No newline at end of file

build/faceLandmarkNet/extractParams.js.map

+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/extractParams.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,gFAA+E;AAC/E,0EAAyE;AAGzE,uBAA8B,OAAqB;IAC3C,IAAA,2DAG4B,EAFhC,kCAAc,EACd,4CAAmB,CACa;IAElC,IAAM,iBAAiB,GAAG,mDAAwB,CAAC,cAAc,CAAC,CAAA;IAElE,yBAAyB,UAAkB,EAAE,WAAmB;QAC9D,IAAM,UAAU,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,GAAG,WAAW,CAAC,EAAE,CAAC,UAAU,EAAE,WAAW,CAAC,CAAC,CAAA;QACnG,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QACxD,OAAO;YACL,OAAO,EAAE,UAAU;YACnB,IAAI,EAAE,OAAO;SACd,CAAA;IACH,CAAC;IAED,IAAM,YAAY,GAAG,iBAAiB,CAAC,CAAC,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;IAChD,IAAM,YAAY,GAAG,iBAAiB,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;IACjD,IAAM,YAAY,GAAG,iBAAiB,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;IACjD,IAAM,YAAY,GAAG,iBAAiB,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;IACjD,IAAM,YAAY,GAAG,iBAAiB,CAAC,EAAE,EAAE,EAAE,EAAE,CAAC,CAAC,CAAA;IACjD,IAAM,YAAY,GAAG,iBAAiB,CAAC,EAAE,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;IAClD,IAAM,YAAY,GAAG,iBAAiB,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;IACnD,IAAM,YAAY,GAAG,iBAAiB,CAAC,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAA;IACnD,IAAM,UAAU,GAAG,eAAe,CAAC,IAAI,EAAE,IAAI,CAAC,CAAA;IAC9C,IAAM,UAAU,GAAG,eAAe,CAAC,IAAI,EAAE,GAAG,CAAC,CAAA;IAE7C,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,YAAY,cAAA;QACZ,UAAU,YAAA;QACV,UAAU,YAAA;KACX,CAAA;AACH,CAAC;AA5CD,sCA4CC"}
\ No newline at end of file

dist/faceLandmarkNet/fullyConnectedLayer.js → build/faceLandmarkNet/fullyConnectedLayer.js

-import * as tf from '@tensorflow/tfjs-core';
-export function fullyConnectedLayer(x, params) {
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function fullyConnectedLayer(x, params) {
     return tf.tidy(function () {
         return tf.add(tf.matMul(x, params.weights), params.bias);
     });
 }
+exports.fullyConnectedLayer = fullyConnectedLayer;
 //# sourceMappingURL=fullyConnectedLayer.js.map
\ No newline at end of file

build/faceLandmarkNet/fullyConnectedLayer.js.map

+{"version":3,"file":"fullyConnectedLayer.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/fullyConnectedLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,6BACE,CAAc,EACd,MAAgB;IAEhB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,OAAA,EAAE,CAAC,GAAG,CACJ,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAC5B,MAAM,CAAC,IAAI,CACZ;IAHD,CAGC,CACF,CAAA;AACH,CAAC;AAVD,kDAUC"}
\ No newline at end of file

build/faceLandmarkNet/index.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var FaceLandmarkNet_1 = require("./FaceLandmarkNet");
+tslib_1.__exportStar(require("./FaceLandmarkNet"), exports);
+function faceLandmarkNet(weights) {
+    var net = new FaceLandmarkNet_1.FaceLandmarkNet();
+    net.extractWeights(weights);
+    return net;
+}
+exports.faceLandmarkNet = faceLandmarkNet;
+//# sourceMappingURL=index.js.map
\ No newline at end of file

build/faceLandmarkNet/index.js.map

+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":";;;AAAA,qDAAoD;AAEpD,4DAAkC;AAElC,yBAAgC,OAAqB;IACnD,IAAM,GAAG,GAAG,IAAI,iCAAe,EAAE,CAAA;IACjC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,0CAIC"}
\ No newline at end of file

dist/faceLandmarkNet/loadQuantizedParams.js → build/faceLandmarkNet/loadQuantizedParams.js

-import * as tslib_1 from "tslib";
-import { loadWeightMap } from '../commons/loadWeightMap';
-import { isTensor4D, isTensor1D, isTensor2D } from '../commons/isTensor';
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+var tslib_1 = require("tslib");
+var loadWeightMap_1 = require("../commons/loadWeightMap");
+var isTensor_1 = require("../commons/isTensor");
 var DEFAULT_MODEL_NAME = 'face_landmark_68_model';
 function extractorsFactory(weightMap) {
     function extractConvParams(prefix) {
@@ -8,10 +10,10 @@ function extractorsFactory(weightMap) {
             filters: weightMap[prefix + "/kernel"],
             bias: weightMap[prefix + "/bias"]
         };
-        if (!isTensor4D(params.filters)) {
+        if (!isTensor_1.isTensor4D(params.filters)) {
             throw new Error("expected weightMap[" + prefix + "/kernel] to be a Tensor4D, instead have " + params.filters);
         }
-        if (!isTensor1D(params.bias)) {
+        if (!isTensor_1.isTensor1D(params.bias)) {
             throw new Error("expected weightMap[" + prefix + "/bias] to be a Tensor1D, instead have " + params.bias);
         }
         return params;
@@ -21,10 +23,10 @@ function extractorsFactory(weightMap) {
             weights: weightMap[prefix + "/kernel"],
             bias: weightMap[prefix + "/bias"]
         };
-        if (!isTensor2D(params.weights)) {
+        if (!isTensor_1.isTensor2D(params.weights)) {
             throw new Error("expected weightMap[" + prefix + "/kernel] to be a Tensor2D, instead have " + params.weights);
         }
-        if (!isTensor1D(params.bias)) {
+        if (!isTensor_1.isTensor1D(params.bias)) {
             throw new Error("expected weightMap[" + prefix + "/bias] to be a Tensor1D, instead have " + params.bias);
         }
         return params;
@@ -34,12 +36,12 @@ function extractorsFactory(weightMap) {
         extractFcParams: extractFcParams
     };
 }
-export function loadQuantizedParams(uri) {
+function loadQuantizedParams(uri) {
     return tslib_1.__awaiter(this, void 0, void 0, function () {
         var weightMap, _a, extractConvParams, extractFcParams;
         return tslib_1.__generator(this, function (_b) {
             switch (_b.label) {
-                case 0: return [4 /*yield*/, loadWeightMap(uri, DEFAULT_MODEL_NAME)];
+                case 0: return [4 /*yield*/, loadWeightMap_1.loadWeightMap(uri, DEFAULT_MODEL_NAME)];
                 case 1:
                     weightMap = _b.sent();
                     _a = extractorsFactory(weightMap), extractConvParams = _a.extractConvParams, extractFcParams = _a.extractFcParams;
@@ -59,4 +61,5 @@ export function loadQuantizedParams(uri) {
         });
     });
 }
+exports.loadQuantizedParams = loadQuantizedParams;
 //# sourceMappingURL=loadQuantizedParams.js.map
\ No newline at end of file

build/faceLandmarkNet/loadQuantizedParams.js.map

+{"version":3,"file":"loadQuantizedParams.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/loadQuantizedParams.ts"],"names":[],"mappings":";;;AAEA,0DAAyD;AAGzD,gDAAyE;AAEzE,IAAM,kBAAkB,GAAG,wBAAwB,CAAA;AAEnD,2BAA2B,SAAc;IAEvC,2BAA2B,MAAc;QACvC,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,YAAS,CAAgB;YACrD,IAAI,EAAE,SAAS,CAAI,MAAM,UAAO,CAAgB;SACjD,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gDAA2C,MAAM,CAAC,OAAS,CAAC,CAAA;SACzG;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,IAAI,CAAC,EAAE;YAC5B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,8CAAyC,MAAM,CAAC,IAAM,CAAC,CAAA;SACpG;QAED,OAAO,MAAM,CAAA;IACf,CAAC;IAED,yBAAyB,MAAc;QACrC,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,YAAS,CAAgB;YACrD,IAAI,EAAE,SAAS,CAAI,MAAM,UAAO,CAAgB;SACjD,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gDAA2C,MAAM,CAAC,OAAS,CAAC,CAAA;SACzG;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,IAAI,CAAC,EAAE;YAC5B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,8CAAyC,MAAM,CAAC,IAAM,CAAC,CAAA;SACpG;QAED,OAAO,MAAM,CAAA;IACf,CAAC;IAED,OAAO;QACL,iBAAiB,mBAAA;QACjB,eAAe,iBAAA;KAChB,CAAA;AACH,CAAC;AAED,6BAA0C,GAAuB;;;;;wBAC7C,qBAAM,6BAAa,CAAC,GAAG,EAAE,kBAAkB,CAAC,EAAA;;oBAAxD,SAAS,GAAG,SAA4C;oBAExD,KAGF,iBAAiB,CAAC,SAAS,CAAC,EAF9B,iBAAiB,uBAAA,EACjB,eAAe,qBAAA,CACe;oBAEhC,sBAAO;4BACL,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,YAAY,EAAE,iBAAiB,CAAC,UAAU,CAAC;4BAC3C,UAAU,EAAE,eAAe,CAAC,OAAO,CAAC;4BACpC,UAAU,EAAE,eAAe,CAAC,QAAQ,CAAC;yBACtC,EAAA;;;;CACF;AApBD,kDAoBC"}
\ No newline at end of file

dist/faceLandmarkNet/types.js → build/faceLandmarkNet/types.js

+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file