compile module to commonjs

ccdd16ec · vincent · f11445bb · ccdd16ec · ccdd16ec · ccdd16ec
Commit ccdd16ec authored Jun 24, 2018 by vincent
91 changed files
--- a/dist/NetInput.js
+++ b/dist/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
--- a/dist/NetInput.js.map
+++ b/dist/NetInput.js.map
-{"version":3,"file":"NetInput.js","sourceRoot":"","sources":["../src/NetInput.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,qBAAqB,EAAuB,UAAU,EAAsB,MAAM,SAAS,CAAC;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,UAAU,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,qBAAqB,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"}
+{"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
--- a/dist/Point.js
+++ b/dist/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
--- a/dist/Point.js.map
+++ b/dist/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"}
+{"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
--- a/dist/Rect.js
+++ b/dist/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
--- a/dist/Rect.js.map
+++ b/dist/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"}
+{"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
--- a/dist/commons/convLayer.js
+++ b/dist/commons/convLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function convLayer(x, params, padding, withRelu) {
+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
--- a/dist/commons/convLayer.js.map
+++ b/dist/commons/convLayer.js.map
-{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../src/commons/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,oBACJ,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"}
+{"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
--- a/dist/commons/extractConvParamsFactory.js
+++ b/dist/commons/extractConvParamsFactory.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function extractConvParamsFactory(extractWeights) {
+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
--- a/dist/commons/extractConvParamsFactory.js.map
+++ b/dist/commons/extractConvParamsFactory.js.map
-{"version":3,"file":"extractConvParamsFactory.js","sourceRoot":"","sources":["../../src/commons/extractConvParamsFactory.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,mCAAmC,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"}
+{"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
--- a/dist/commons/extractWeightsFactory.js
+++ b/dist/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
--- a/dist/commons/extractWeightsFactory.js.map
+++ b/dist/commons/extractWeightsFactory.js.map
-{"version":3,"file":"extractWeightsFactory.js","sourceRoot":"","sources":["../../src/commons/extractWeightsFactory.ts"],"names":[],"mappings":"AAAA,MAAM,gCAAgC,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"}
+{"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
--- a/dist/commons/getCenterPoint.js
+++ b/dist/commons/getCenterPoint.js
-import { Point } from '../Point';
+"use strict";
-export function getCenterPoint(pts) {
+Object.defineProperty(exports, "__esModule", { value: true });
-    return pts.reduce(function (sum, pt) { return sum.add(pt); }, new Point(0, 0))
+var Point_1 = require("../Point");
-        .div(new Point(pts.length, pts.length));
+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
--- a/dist/commons/getCenterPoint.js.map
+++ b/dist/commons/getCenterPoint.js.map
-{"version":3,"file":"getCenterPoint.js","sourceRoot":"","sources":["../../src/commons/getCenterPoint.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,KAAK,EAAE,MAAM,UAAU,CAAC;AAEjC,MAAM,yBAAyB,GAAY;IACzC,OAAO,GAAG,CAAC,MAAM,CAAC,UAAC,GAAG,EAAE,EAAE,IAAK,OAAA,GAAG,CAAC,GAAG,CAAC,EAAE,CAAC,EAAX,CAAW,EAAE,IAAI,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC;SACzD,GAAG,CAAC,IAAI,KAAK,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAC,MAAM,CAAC,CAAC,CAAA;AAC3C,CAAC"}
+{"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
--- a/dist/commons/isTensor.js
+++ b/dist/commons/isTensor.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function isTensor(tensor, dim) {
+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
--- a/dist/commons/isTensor.js.map
+++ b/dist/commons/isTensor.js.map
-{"version":3,"file":"isTensor.js","sourceRoot":"","sources":["../../src/commons/isTensor.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,mBAAmB,MAAiB,EAAE,GAAW;IACrD,OAAO,MAAM,YAAY,EAAE,CAAC,MAAM,IAAI,MAAM,CAAC,KAAK,CAAC,MAAM,KAAK,GAAG,CAAA;AACnE,CAAC;AAED,MAAM,qBAAqB,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAED,MAAM,qBAAqB,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAED,MAAM,qBAAqB,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC;AAED,MAAM,qBAAqB,MAAiB;IAC1C,OAAO,QAAQ,CAAC,MAAM,EAAE,CAAC,CAAC,CAAA;AAC5B,CAAC"}
+{"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
--- a/dist/commons/loadWeightMap.js
+++ b/dist/commons/loadWeightMap.js
-import * as tslib_1 from "tslib";
+"use strict";
-import * as tf from '@tensorflow/tfjs-core';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function getModelUris(uri, defaultModelName) {
+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
--- a/dist/commons/loadWeightMap.js.map
+++ b/dist/commons/loadWeightMap.js.map
-{"version":3,"file":"loadWeightMap.js","sourceRoot":"","sources":["../../src/commons/loadWeightMap.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,uBAAuB,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;AAED,MAAM,wBACJ,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"}
+{"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
--- a/dist/commons/types.js
+++ b/dist/commons/types.js
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file
--- a/dist/euclideanDistance.js
+++ b/dist/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
--- a/dist/euclideanDistance.js.map
+++ b/dist/euclideanDistance.js.map
-{"version":3,"file":"euclideanDistance.js","sourceRoot":"","sources":["../src/euclideanDistance.ts"],"names":[],"mappings":"AAAA,MAAM,4BAA4B,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"}
+{"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
--- a/dist/extractFaceTensors.js
+++ b/dist/extractFaceTensors.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { FaceDetection } from './faceDetectionNet/FaceDetection';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { getImageTensor } from './getImageTensor';
+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
--- a/dist/extractFaceTensors.js.map
+++ b/dist/extractFaceTensors.js.map
-{"version":3,"file":"extractFaceTensors.js","sourceRoot":"","sources":["../src/extractFaceTensors.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,aAAa,EAAE,MAAM,kCAAkC,CAAC;AACjE,OAAO,EAAE,cAAc,EAAE,MAAM,kBAAkB,CAAC;AAKlD;;;;;;;;;GASG;AACH,MAAM,6BACJ,KAAuC,EACvC,UAAqC;IAErC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,SAAS,GAAG,cAAc,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,aAAa;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"}
+{"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
--- a/dist/extractFaces.js
+++ b/dist/extractFaces.js
-import { FaceDetection } from './faceDetectionNet/FaceDetection';
+"use strict";
-import { createCanvas, getContext2dOrThrow } from './utils';
+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) {
+function extractFaces(image, detections) {
-    var ctx = getContext2dOrThrow(image);
+    var ctx = utils_1.getContext2dOrThrow(image);
-    var boxes = detections.map(function (det) { return det instanceof FaceDetection
+    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 });
+        var faceImg = utils_1.createCanvas({ width: width, height: height });
-        getContext2dOrThrow(faceImg)
+        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
--- a/dist/extractFaces.js.map
+++ b/dist/extractFaces.js.map
-{"version":3,"file":"extractFaces.js","sourceRoot":"","sources":["../src/extractFaces.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,aAAa,EAAE,MAAM,kCAAkC,CAAC;AAEjE,OAAO,EAAE,YAAY,EAAE,mBAAmB,EAAE,MAAM,SAAS,CAAC;AAE5D;;;;;;GAMG;AACH,MAAM,uBACJ,KAAwB,EACxB,UAAqC;IAErC,IAAM,GAAG,GAAG,mBAAmB,CAAC,KAAK,CAAC,CAAA;IAEtC,IAAM,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,aAAa;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,YAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;QAC/C,mBAAmB,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"}
+{"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
--- a/dist/faceDetectionNet/FaceDetection.js
+++ b/dist/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
--- a/dist/faceDetectionNet/FaceDetection.js.map
+++ b/dist/faceDetectionNet/FaceDetection.js.map
-{"version":3,"file":"FaceDetection.js","sourceRoot":"","sources":["../../src/faceDetectionNet/FaceDetection.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,IAAI,EAAE,MAAM,SAAS,CAAC;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,IAAI,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,IAAI,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"}
+{"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
--- a/dist/faceDetectionNet/FaceDetectionNet.js
+++ b/dist/faceDetectionNet/FaceDetectionNet.js
-import * as tslib_1 from "tslib";
+"use strict";
-import * as tf from '@tensorflow/tfjs-core';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { getImageTensor } from '../getImageTensor';
+var tslib_1 = require("tslib");
-import { padToSquare } from '../padToSquare';
+var tf = require("@tensorflow/tfjs-core");
-import { Rect } from '../Rect';
+var getImageTensor_1 = require("../getImageTensor");
-import { extractParams } from './extractParams';
+var padToSquare_1 = require("../padToSquare");
-import { FaceDetection } from './FaceDetection';
+var Rect_1 = require("../Rect");
-import { loadQuantizedParams } from './loadQuantizedParams';
+var extractParams_1 = require("./extractParams");
-import { mobileNetV1 } from './mobileNetV1';
+var FaceDetection_1 = require("./FaceDetection");
-import { nonMaxSuppression } from './nonMaxSuppression';
+var loadQuantizedParams_1 = require("./loadQuantizedParams");
-import { outputLayer } from './outputLayer';
+var mobileNetV1_1 = require("./mobileNetV1");
-import { predictionLayer } from './predictionLayer';
+var nonMaxSuppression_1 = require("./nonMaxSuppression");
-import { resizeLayer } from './resizeLayer';
+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 resized = resizeLayer_1.resizeLayer(imgTensor);
-            var features = mobileNetV1(resized, _this._params.mobilenetv1_params);
+            var features = mobileNetV1_1.mobileNetV1(resized, _this._params.mobilenetv1_params);
-            var _a = predictionLayer(features.out, features.conv11, _this._params.prediction_layer_params), boxPredictions = _a.boxPredictions, classPredictions = _a.classPredictions;
+            var _a = predictionLayer_1.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);
+            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
--- a/dist/faceDetectionNet/FaceDetectionNet.js.map
+++ b/dist/faceDetectionNet/FaceDetectionNet.js.map
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\ No newline at end of file
--- a/dist/faceDetectionNet/boxPredictionLayer.js
+++ b/dist/faceDetectionNet/boxPredictionLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { convLayer } from '../commons/convLayer';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function boxPredictionLayer(x, params) {
+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 boxPredictionEncoding = tf.reshape(convLayer_1.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 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
--- a/dist/faceDetectionNet/boxPredictionLayer.js.map
+++ b/dist/faceDetectionNet/boxPredictionLayer.js.map
-{"version":3,"file":"boxPredictionLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/boxPredictionLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,SAAS,EAAE,MAAM,sBAAsB,CAAC;AAIjD,MAAM,6BACJ,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,SAAS,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,SAAS,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"}
+{"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
--- a/dist/faceDetectionNet/extractParams.js
+++ b/dist/faceDetectionNet/extractParams.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { extractWeightsFactory } from '../commons/extractWeightsFactory';
+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) {
+function extractParams(weights) {
-    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    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
--- a/dist/faceDetectionNet/extractParams.js.map
+++ b/dist/faceDetectionNet/extractParams.js.map
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\ No newline at end of file
--- a/dist/faceDetectionNet/index.js
+++ b/dist/faceDetectionNet/index.js
-import { FaceDetectionNet } from './FaceDetectionNet';
+"use strict";
-export * from './FaceDetectionNet';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function faceDetectionNet(weights) {
+var tslib_1 = require("tslib");
-    var net = new FaceDetectionNet();
+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
--- a/dist/faceDetectionNet/index.js.map
+++ b/dist/faceDetectionNet/index.js.map
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceDetectionNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,gBAAgB,EAAE,MAAM,oBAAoB,CAAC;AAEtD,cAAc,oBAAoB,CAAC;AAEnC,MAAM,2BAA2B,OAAqB;IACpD,IAAM,GAAG,GAAG,IAAI,gBAAgB,EAAE,CAAA;IAClC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC"}
+{"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
--- a/dist/faceDetectionNet/loadQuantizedParams.js
+++ b/dist/faceDetectionNet/loadQuantizedParams.js
-import * as tslib_1 from "tslib";
+"use strict";
-import { isTensor1D, isTensor4D, isTensor3D } from '../commons/isTensor';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { loadWeightMap } from '../commons/loadWeightMap';
+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
--- a/dist/faceDetectionNet/loadQuantizedParams.js.map
+++ b/dist/faceDetectionNet/loadQuantizedParams.js.map
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\ No newline at end of file
--- a/dist/faceDetectionNet/mobileNetV1.js
+++ b/dist/faceDetectionNet/mobileNetV1.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { pointwiseConvLayer } from './pointwiseConvLayer';
+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
--- a/dist/faceDetectionNet/mobileNetV1.js.map
+++ b/dist/faceDetectionNet/mobileNetV1.js.map
-{"version":3,"file":"mobileNetV1.js","sourceRoot":"","sources":["../../src/faceDetectionNet/mobileNetV1.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;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,MAAM,sBAAsB,CAAc,EAAE,MAA0B;IACpE,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,MAAM,GAAG,IAAI,CAAA;QACjB,IAAI,GAAG,GAAG,kBAAkB,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,kBAAkB,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"}
+{"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
--- a/dist/faceDetectionNet/nonMaxSuppression.js
+++ b/dist/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));

--- a/dist/faceDetectionNet/nonMaxSuppression.js.map
+++ b/dist/faceDetectionNet/nonMaxSuppression.js.map
-{"version":3,"file":"nonMaxSuppression.js","sourceRoot":"","sources":["../../src/faceDetectionNet/nonMaxSuppression.ts"],"names":[],"mappings":"AAEA,MAAM,4BACJ,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;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"}
+{"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
--- a/dist/faceDetectionNet/outputLayer.js
+++ b/dist/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
--- a/dist/faceDetectionNet/outputLayer.js.map
+++ b/dist/faceDetectionNet/outputLayer.js.map
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+{"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
--- a/dist/faceDetectionNet/pointwiseConvLayer.js
+++ b/dist/faceDetectionNet/pointwiseConvLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function pointwiseConvLayer(x, params, strides) {
+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
--- a/dist/faceDetectionNet/pointwiseConvLayer.js.map
+++ b/dist/faceDetectionNet/pointwiseConvLayer.js.map
-{"version":3,"file":"pointwiseConvLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/pointwiseConvLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,6BACJ,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"}
+{"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
--- a/dist/faceDetectionNet/predictionLayer.js
+++ b/dist/faceDetectionNet/predictionLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { boxPredictionLayer } from './boxPredictionLayer';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { pointwiseConvLayer } from './pointwiseConvLayer';
+var tf = require("@tensorflow/tfjs-core");
-export function predictionLayer(x, conv11, params) {
+var boxPredictionLayer_1 = require("./boxPredictionLayer");
+var pointwiseConvLayer_1 = require("./pointwiseConvLayer");
+function predictionLayer(x, conv11, params) {
    return tf.tidy(function () {
-        var conv0 = pointwiseConvLayer(x, params.conv_0_params, [1, 1]);
+        var conv0 = pointwiseConvLayer_1.pointwiseConvLayer(x, params.conv_0_params, [1, 1]);
-        var conv1 = pointwiseConvLayer(conv0, params.conv_1_params, [2, 2]);
+        var conv1 = pointwiseConvLayer_1.pointwiseConvLayer(conv0, params.conv_1_params, [2, 2]);
-        var conv2 = pointwiseConvLayer(conv1, params.conv_2_params, [1, 1]);
+        var conv2 = pointwiseConvLayer_1.pointwiseConvLayer(conv1, params.conv_2_params, [1, 1]);
-        var conv3 = pointwiseConvLayer(conv2, params.conv_3_params, [2, 2]);
+        var conv3 = pointwiseConvLayer_1.pointwiseConvLayer(conv2, params.conv_3_params, [2, 2]);
-        var conv4 = pointwiseConvLayer(conv3, params.conv_4_params, [1, 1]);
+        var conv4 = pointwiseConvLayer_1.pointwiseConvLayer(conv3, params.conv_4_params, [1, 1]);
-        var conv5 = pointwiseConvLayer(conv4, params.conv_5_params, [2, 2]);
+        var conv5 = pointwiseConvLayer_1.pointwiseConvLayer(conv4, params.conv_5_params, [2, 2]);
-        var conv6 = pointwiseConvLayer(conv5, params.conv_6_params, [1, 1]);
+        var conv6 = pointwiseConvLayer_1.pointwiseConvLayer(conv5, params.conv_6_params, [1, 1]);
-        var conv7 = pointwiseConvLayer(conv6, params.conv_7_params, [2, 2]);
+        var conv7 = pointwiseConvLayer_1.pointwiseConvLayer(conv6, params.conv_7_params, [2, 2]);
-        var boxPrediction0 = boxPredictionLayer(conv11, params.box_predictor_0_params);
+        var boxPrediction0 = boxPredictionLayer_1.boxPredictionLayer(conv11, params.box_predictor_0_params);
-        var boxPrediction1 = boxPredictionLayer(x, params.box_predictor_1_params);
+        var boxPrediction1 = boxPredictionLayer_1.boxPredictionLayer(x, params.box_predictor_1_params);
-        var boxPrediction2 = boxPredictionLayer(conv1, params.box_predictor_2_params);
+        var boxPrediction2 = boxPredictionLayer_1.boxPredictionLayer(conv1, params.box_predictor_2_params);
-        var boxPrediction3 = boxPredictionLayer(conv3, params.box_predictor_3_params);
+        var boxPrediction3 = boxPredictionLayer_1.boxPredictionLayer(conv3, params.box_predictor_3_params);
-        var boxPrediction4 = boxPredictionLayer(conv5, params.box_predictor_4_params);
+        var boxPrediction4 = boxPredictionLayer_1.boxPredictionLayer(conv5, params.box_predictor_4_params);
-        var boxPrediction5 = boxPredictionLayer(conv7, params.box_predictor_5_params);
+        var boxPrediction5 = boxPredictionLayer_1.boxPredictionLayer(conv7, params.box_predictor_5_params);
        var boxPredictions = tf.concat([
            boxPrediction0.boxPredictionEncoding,
            boxPrediction1.boxPredictionEncoding,
@@ -39,4 +41,5 @@ export function predictionLayer(x, conv11, params) {
        };
    });
 }
+exports.predictionLayer = predictionLayer;
 //# sourceMappingURL=predictionLayer.js.map
\ No newline at end of file
--- a/dist/faceDetectionNet/predictionLayer.js.map
+++ b/dist/faceDetectionNet/predictionLayer.js.map
-{"version":3,"file":"predictionLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/predictionLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;AAC1D,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;AAG1D,MAAM,0BACJ,CAAc,EACd,MAAmB,EACnB,MAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,KAAK,GAAG,kBAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,KAAK,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,aAAa,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAErE,IAAM,cAAc,GAAG,kBAAkB,CAAC,MAAM,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAChF,IAAM,cAAc,GAAG,kBAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC3E,IAAM,cAAc,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,kBAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,sBAAsB,CAAC,CAAA;QAC/E,IAAM,cAAc,GAAG,kBAAkB,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"}
+{"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
--- a/dist/faceDetectionNet/resizeLayer.js
+++ b/dist/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
--- a/dist/faceDetectionNet/resizeLayer.js.map
+++ b/dist/faceDetectionNet/resizeLayer.js.map
-{"version":3,"file":"resizeLayer.js","sourceRoot":"","sources":["../../src/faceDetectionNet/resizeLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;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,MAAM,sBAAsB,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"}
+{"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
--- a/dist/faceDetectionNet/types.js
+++ b/dist/faceDetectionNet/types.js
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file
--- a/dist/faceLandmarkNet/FaceLandmarkNet.js
+++ b/dist/faceLandmarkNet/FaceLandmarkNet.js
-import * as tslib_1 from "tslib";
+"use strict";
-import * as tf from '@tensorflow/tfjs-core';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { convLayer } from '../commons/convLayer';
+var tslib_1 = require("tslib");
-import { getImageTensor } from '../getImageTensor';
+var tf = require("@tensorflow/tfjs-core");
-import { Point } from '../Point';
+var convLayer_1 = require("../commons/convLayer");
-import { extractParams } from './extractParams';
+var getImageTensor_1 = require("../getImageTensor");
-import { FaceLandmarks } from './FaceLandmarks';
+var Point_1 = require("../Point");
-import { fullyConnectedLayer } from './fullyConnectedLayer';
+var extractParams_1 = require("./extractParams");
-import { loadQuantizedParams } from './loadQuantizedParams';
+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 fc0 = tf.relu(fullyConnectedLayer_1.fullyConnectedLayer(out.as2D(out.shape[0], -1), params.fc0_params));
-                            var fc1 = fullyConnectedLayer(fc0, params.fc1_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
--- a/dist/faceLandmarkNet/FaceLandmarkNet.js.map
+++ b/dist/faceLandmarkNet/FaceLandmarkNet.js.map
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\ No newline at end of file
--- a/dist/faceLandmarkNet/FaceLandmarks.js
+++ b/dist/faceLandmarkNet/FaceLandmarks.js
-import { getCenterPoint } from '../commons/getCenterPoint';
+"use strict";
-import { FaceDetection } from '../faceDetectionNet/FaceDetection';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { Point } from '../Point';
+var getCenterPoint_1 = require("../commons/getCenterPoint");
-import { Rect } from '../Rect';
+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
--- a/dist/faceLandmarkNet/FaceLandmarks.js.map
+++ b/dist/faceLandmarkNet/FaceLandmarks.js.map
-{"version":3,"file":"FaceLandmarks.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/FaceLandmarks.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,cAAc,EAAE,MAAM,2BAA2B,CAAC;AAC3D,OAAO,EAAE,aAAa,EAAE,MAAM,mCAAmC,CAAC;AAClE,OAAO,EAAE,KAAK,EAAE,MAAM,UAAU,CAAC;AACjC,OAAO,EAAE,IAAI,EAAE,MAAM,SAAS,CAAC;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,KAAK,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,KAAK,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,KAAK,CAAC,EAA3C,CAA2C,CAClD,CAAA;IACH,CAAC;IAEM,gCAAQ,GAAf;QACE,OAAO,IAAI,KAAK,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,KAAK,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,KAAK,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,aAAa;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,cAAc,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,cAAc,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,IAAI,CAAC,CAAC,EAAE,CAAC,EAAE,IAAI,EAAE,IAAI,CAAC,CAAA;IACnC,CAAC;IACH,oBAAC;AAAD,CAAC,AA9HD,IA8HC"}
+{"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
--- a/dist/faceLandmarkNet/extractParams.js
+++ b/dist/faceLandmarkNet/extractParams.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { extractConvParamsFactory } from '../commons/extractConvParamsFactory';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { extractWeightsFactory } from '../commons/extractWeightsFactory';
+var tf = require("@tensorflow/tfjs-core");
-export function extractParams(weights) {
+var extractConvParamsFactory_1 = require("../commons/extractConvParamsFactory");
-    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+var extractWeightsFactory_1 = require("../commons/extractWeightsFactory");
-    var extractConvParams = extractConvParamsFactory(extractWeights);
+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
--- a/dist/faceLandmarkNet/extractParams.js.map
+++ b/dist/faceLandmarkNet/extractParams.js.map
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+{"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
--- a/dist/faceLandmarkNet/fullyConnectedLayer.js
+++ b/dist/faceLandmarkNet/fullyConnectedLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function fullyConnectedLayer(x, params) {
+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
--- a/dist/faceLandmarkNet/fullyConnectedLayer.js.map
+++ b/dist/faceLandmarkNet/fullyConnectedLayer.js.map
-{"version":3,"file":"fullyConnectedLayer.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/fullyConnectedLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,8BACJ,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"}
+{"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
--- a/dist/faceLandmarkNet/index.js
+++ b/dist/faceLandmarkNet/index.js
-import { FaceLandmarkNet } from './FaceLandmarkNet';
+"use strict";
-export * from './FaceLandmarkNet';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function faceLandmarkNet(weights) {
+var tslib_1 = require("tslib");
-    var net = new FaceLandmarkNet();
+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
--- a/dist/faceLandmarkNet/index.js.map
+++ b/dist/faceLandmarkNet/index.js.map
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,eAAe,EAAE,MAAM,mBAAmB,CAAC;AAEpD,cAAc,mBAAmB,CAAC;AAElC,MAAM,0BAA0B,OAAqB;IACnD,IAAM,GAAG,GAAG,IAAI,eAAe,EAAE,CAAA;IACjC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC"}
+{"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
--- a/dist/faceLandmarkNet/loadQuantizedParams.js
+++ b/dist/faceLandmarkNet/loadQuantizedParams.js
-import * as tslib_1 from "tslib";
+"use strict";
-import { loadWeightMap } from '../commons/loadWeightMap';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { isTensor4D, isTensor1D, isTensor2D } from '../commons/isTensor';
+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
--- a/dist/faceLandmarkNet/loadQuantizedParams.js.map
+++ b/dist/faceLandmarkNet/loadQuantizedParams.js.map
-{"version":3,"file":"loadQuantizedParams.js","sourceRoot":"","sources":["../../src/faceLandmarkNet/loadQuantizedParams.ts"],"names":[],"mappings":";AAEA,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAGzD,OAAO,EAAE,UAAU,EAAE,UAAU,EAAE,UAAU,EAAE,MAAM,qBAAqB,CAAC;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,UAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gDAA2C,MAAM,CAAC,OAAS,CAAC,CAAA;SACzG;QAED,IAAI,CAAC,UAAU,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,UAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,gDAA2C,MAAM,CAAC,OAAS,CAAC,CAAA;SACzG;QAED,IAAI,CAAC,UAAU,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,MAAM,8BAAoC,GAAuB;;;;;wBAC7C,qBAAM,aAAa,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"}
+{"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
--- a/dist/faceLandmarkNet/types.js
+++ b/dist/faceLandmarkNet/types.js
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/FaceRecognitionNet.js
+++ b/dist/faceRecognitionNet/FaceRecognitionNet.js
-import * as tslib_1 from "tslib";
+"use strict";
-import * as tf from '@tensorflow/tfjs-core';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { getImageTensor } from '../getImageTensor';
+var tslib_1 = require("tslib");
-import { padToSquare } from '../padToSquare';
+var tf = require("@tensorflow/tfjs-core");
-import { convDown } from './convLayer';
+var getImageTensor_1 = require("../getImageTensor");
-import { extractParams } from './extractParams';
+var padToSquare_1 = require("../padToSquare");
-import { loadQuantizedParams } from './loadQuantizedParams';
+var convLayer_1 = require("./convLayer");
-import { normalize } from './normalize';
+var extractParams_1 = require("./extractParams");
-import { residual, residualDown } from './residualLayer';
+var loadQuantizedParams_1 = require("./loadQuantizedParams");
+var normalize_1 = require("./normalize");
+var residualLayer_1 = require("./residualLayer");
 var FaceRecognitionNet = /** @class */ (function () {
    function FaceRecognitionNet() {
    }
@@ -24,7 +26,7 @@ var FaceRecognitionNet = /** @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*/];
@@ -33,7 +35,7 @@ var FaceRecognitionNet = /** @class */ (function () {
        });
    };
    FaceRecognitionNet.prototype.extractWeights = function (weights) {
-        this._params = extractParams(weights);
+        this._params = extractParams_1.extractParams(weights);
    };
    FaceRecognitionNet.prototype.forward = function (input) {
        var _this = this;
@@ -41,28 +43,28 @@ var FaceRecognitionNet = /** @class */ (function () {
            throw new Error('FaceRecognitionNet - load model before inference');
        }
        return tf.tidy(function () {
-            var x = padToSquare(getImageTensor(input), true);
+            var x = padToSquare_1.padToSquare(getImageTensor_1.getImageTensor(input), true);
            // work with 150 x 150 sized face images
            if (x.shape[1] !== 150 || x.shape[2] !== 150) {
                x = tf.image.resizeBilinear(x, [150, 150]);
            }
-            x = normalize(x);
+            x = normalize_1.normalize(x);
-            var out = convDown(x, _this._params.conv32_down);
+            var out = convLayer_1.convDown(x, _this._params.conv32_down);
            out = tf.maxPool(out, 3, 2, 'valid');
-            out = residual(out, _this._params.conv32_1);
+            out = residualLayer_1.residual(out, _this._params.conv32_1);
-            out = residual(out, _this._params.conv32_2);
+            out = residualLayer_1.residual(out, _this._params.conv32_2);
-            out = residual(out, _this._params.conv32_3);
+            out = residualLayer_1.residual(out, _this._params.conv32_3);
-            out = residualDown(out, _this._params.conv64_down);
+            out = residualLayer_1.residualDown(out, _this._params.conv64_down);
-            out = residual(out, _this._params.conv64_1);
+            out = residualLayer_1.residual(out, _this._params.conv64_1);
-            out = residual(out, _this._params.conv64_2);
+            out = residualLayer_1.residual(out, _this._params.conv64_2);
-            out = residual(out, _this._params.conv64_3);
+            out = residualLayer_1.residual(out, _this._params.conv64_3);
-            out = residualDown(out, _this._params.conv128_down);
+            out = residualLayer_1.residualDown(out, _this._params.conv128_down);
-            out = residual(out, _this._params.conv128_1);
+            out = residualLayer_1.residual(out, _this._params.conv128_1);
-            out = residual(out, _this._params.conv128_2);
+            out = residualLayer_1.residual(out, _this._params.conv128_2);
-            out = residualDown(out, _this._params.conv256_down);
+            out = residualLayer_1.residualDown(out, _this._params.conv256_down);
-            out = residual(out, _this._params.conv256_1);
+            out = residualLayer_1.residual(out, _this._params.conv256_1);
-            out = residual(out, _this._params.conv256_2);
+            out = residualLayer_1.residual(out, _this._params.conv256_2);
-            out = residualDown(out, _this._params.conv256_down_out);
+            out = residualLayer_1.residualDown(out, _this._params.conv256_down_out);
            var globalAvg = out.mean([1, 2]);
            var fullyConnected = tf.matMul(globalAvg, _this._params.fc);
            return fullyConnected;
@@ -97,5 +99,5 @@ var FaceRecognitionNet = /** @class */ (function () {
    };
    return FaceRecognitionNet;
 }());
-export { FaceRecognitionNet };
+exports.FaceRecognitionNet = FaceRecognitionNet;
 //# sourceMappingURL=FaceRecognitionNet.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/FaceRecognitionNet.js.map
+++ b/dist/faceRecognitionNet/FaceRecognitionNet.js.map
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\ No newline at end of file
--- a/dist/faceRecognitionNet/convLayer.js
+++ b/dist/faceRecognitionNet/convLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { scale } from './scaleLayer';
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var scaleLayer_1 = require("./scaleLayer");
 function convLayer(x, params, strides, withRelu, padding) {
    if (padding === void 0) { padding = 'same'; }
    var _a = params.conv, filters = _a.filters, bias = _a.bias;
    var out = tf.conv2d(x, filters, strides, padding);
    out = tf.add(out, bias);
-    out = scale(out, params.scale);
+    out = scaleLayer_1.scale(out, params.scale);
    return withRelu ? tf.relu(out) : out;
 }
-export function conv(x, params) {
+function conv(x, params) {
    return convLayer(x, params, [1, 1], true);
 }
-export function convNoRelu(x, params) {
+exports.conv = conv;
+function convNoRelu(x, params) {
    return convLayer(x, params, [1, 1], false);
 }
-export function convDown(x, params) {
+exports.convNoRelu = convNoRelu;
+function convDown(x, params) {
    return convLayer(x, params, [2, 2], true, 'valid');
 }
+exports.convDown = convDown;
 //# sourceMappingURL=convLayer.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/convLayer.js.map
+++ b/dist/faceRecognitionNet/convLayer.js.map
-{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,KAAK,EAAE,MAAM,cAAc,CAAC;AAIrC,mBACE,CAAc,EACd,MAAuB,EACvB,OAAyB,EACzB,QAAiB,EACjB,OAAkC;IAAlC,wBAAA,EAAA,gBAAkC;IAE5B,IAAA,gBAA+B,EAA7B,oBAAO,EAAE,cAAI,CAAgB;IAErC,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;IACjD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;IACvB,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC9B,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;AACtC,CAAC;AAED,MAAM,eAAe,CAAc,EAAE,MAAuB;IAC1D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;AAC3C,CAAC;AAED,MAAM,qBAAqB,CAAc,EAAE,MAAuB;IAChE,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAA;AAC5C,CAAC;AAED,MAAM,mBAAmB,CAAc,EAAE,MAAuB;IAC9D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO,CAAC,CAAA;AACpD,CAAC"}
+{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2CAAqC;AAIrC,mBACE,CAAc,EACd,MAAuB,EACvB,OAAyB,EACzB,QAAiB,EACjB,OAAkC;IAAlC,wBAAA,EAAA,gBAAkC;IAE5B,IAAA,gBAA+B,EAA7B,oBAAO,EAAE,cAAI,CAAgB;IAErC,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;IACjD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;IACvB,GAAG,GAAG,kBAAK,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC9B,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;AACtC,CAAC;AAED,cAAqB,CAAc,EAAE,MAAuB;IAC1D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;AAC3C,CAAC;AAFD,oBAEC;AAED,oBAA2B,CAAc,EAAE,MAAuB;IAChE,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAA;AAC5C,CAAC;AAFD,gCAEC;AAED,kBAAyB,CAAc,EAAE,MAAuB;IAC9D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO,CAAC,CAAA;AACpD,CAAC;AAFD,4BAEC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/extractParams.js
+++ b/dist/faceRecognitionNet/extractParams.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { extractWeightsFactory } from '../commons/extractWeightsFactory';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { isFloat } from '../utils';
+var tf = require("@tensorflow/tfjs-core");
+var extractWeightsFactory_1 = require("../commons/extractWeightsFactory");
+var utils_1 = require("../utils");
 function extractorsFactory(extractWeights) {
    function extractFilterValues(numFilterValues, numFilters, filterSize) {
        var weights = extractWeights(numFilterValues);
        var depth = weights.length / (numFilters * filterSize * filterSize);
-        if (isFloat(depth)) {
+        if (utils_1.isFloat(depth)) {
            throw new Error("depth has to be an integer: " + depth + ", weights.length: " + weights.length + ", numFilters: " + numFilters + ", filterSize: " + filterSize);
        }
        return tf.transpose(tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]), [2, 3, 1, 0]);
@@ -44,8 +46,8 @@ function extractorsFactory(extractWeights) {
        extractResidualLayerParams: extractResidualLayerParams
    };
 }
-export function extractParams(weights) {
+function extractParams(weights) {
-    var _a = extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var _a = extractWeightsFactory_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
    var _b = extractorsFactory(extractWeights), extractConvLayerParams = _b.extractConvLayerParams, extractResidualLayerParams = _b.extractResidualLayerParams;
    var conv32_down = extractConvLayerParams(4704, 32, 7);
    var conv32_1 = extractResidualLayerParams(9216, 32, 3);
@@ -85,4 +87,5 @@ export function extractParams(weights) {
        fc: fc
    };
 }
+exports.extractParams = extractParams;
 //# sourceMappingURL=extractParams.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/extractParams.js.map
+++ b/dist/faceRecognitionNet/extractParams.js.map
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\ No newline at end of file
--- a/dist/faceRecognitionNet/index.js
+++ b/dist/faceRecognitionNet/index.js
-import { FaceRecognitionNet } from './FaceRecognitionNet';
+"use strict";
-export * from './FaceRecognitionNet';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function faceRecognitionNet(weights) {
+var tslib_1 = require("tslib");
-    var net = new FaceRecognitionNet();
+var FaceRecognitionNet_1 = require("./FaceRecognitionNet");
+tslib_1.__exportStar(require("./FaceRecognitionNet"), exports);
+function faceRecognitionNet(weights) {
+    var net = new FaceRecognitionNet_1.FaceRecognitionNet();
    net.extractWeights(weights);
    return net;
 }
+exports.faceRecognitionNet = faceRecognitionNet;
 //# sourceMappingURL=index.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/index.js.map
+++ b/dist/faceRecognitionNet/index.js.map
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;AAE1D,cAAc,sBAAsB,CAAC;AAErC,MAAM,6BAA6B,OAAqB;IACtD,IAAM,GAAG,GAAG,IAAI,kBAAkB,EAAE,CAAA;IACpC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC"}
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/index.ts"],"names":[],"mappings":";;;AAAA,2DAA0D;AAE1D,+DAAqC;AAErC,4BAAmC,OAAqB;IACtD,IAAM,GAAG,GAAG,IAAI,uCAAkB,EAAE,CAAA;IACpC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,gDAIC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/loadQuantizedParams.js
+++ b/dist/faceRecognitionNet/loadQuantizedParams.js
-import * as tslib_1 from "tslib";
+"use strict";
-import { isTensor1D, isTensor2D, isTensor4D } from '../commons/isTensor';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { loadWeightMap } from '../commons/loadWeightMap';
+var tslib_1 = require("tslib");
+var isTensor_1 = require("../commons/isTensor");
+var loadWeightMap_1 = require("../commons/loadWeightMap");
 var DEFAULT_MODEL_NAME = 'face_recognition_model';
 function extractorsFactory(weightMap) {
    function extractScaleLayerParams(prefix) {
@@ -8,10 +10,10 @@ function extractorsFactory(weightMap) {
            weights: weightMap[prefix + "/scale/weights"],
            biases: weightMap[prefix + "/scale/biases"]
        };
-        if (!isTensor1D(params.weights)) {
+        if (!isTensor_1.isTensor1D(params.weights)) {
            throw new Error("expected weightMap[" + prefix + "/scale/weights] to be a Tensor1D, instead have " + params.weights);
        }
-        if (!isTensor1D(params.biases)) {
+        if (!isTensor_1.isTensor1D(params.biases)) {
            throw new Error("expected weightMap[" + prefix + "/scale/biases] to be a Tensor1D, instead have " + params.biases);
        }
        return params;
@@ -21,10 +23,10 @@ function extractorsFactory(weightMap) {
            filters: weightMap[prefix + "/conv/filters"],
            bias: weightMap[prefix + "/conv/bias"]
        };
-        if (!isTensor4D(params.filters)) {
+        if (!isTensor_1.isTensor4D(params.filters)) {
            throw new Error("expected weightMap[" + prefix + "/conv/filters] to be a Tensor1D, instead have " + params.filters);
        }
-        if (!isTensor1D(params.bias)) {
+        if (!isTensor_1.isTensor1D(params.bias)) {
            throw new Error("expected weightMap[" + prefix + "/conv/bias] to be a Tensor1D, instead have " + params.bias);
        }
        return {
@@ -43,12 +45,12 @@ function extractorsFactory(weightMap) {
        extractResidualLayerParams: extractResidualLayerParams
    };
 }
-export function loadQuantizedParams(uri) {
+function loadQuantizedParams(uri) {
    return tslib_1.__awaiter(this, void 0, void 0, function () {
        var weightMap, _a, extractConvLayerParams, extractResidualLayerParams, conv32_down, conv32_1, conv32_2, conv32_3, conv64_down, conv64_1, conv64_2, conv64_3, conv128_down, conv128_1, conv128_2, conv256_down, conv256_1, conv256_2, conv256_down_out, fc;
        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), extractConvLayerParams = _a.extractConvLayerParams, extractResidualLayerParams = _a.extractResidualLayerParams;
@@ -68,7 +70,7 @@ export function loadQuantizedParams(uri) {
                    conv256_2 = extractResidualLayerParams('conv256_2');
                    conv256_down_out = extractResidualLayerParams('conv256_down_out');
                    fc = weightMap['fc'];
-                    if (!isTensor2D(fc)) {
+                    if (!isTensor_1.isTensor2D(fc)) {
                        throw new Error("expected weightMap[fc] to be a Tensor2D, instead have " + fc);
                    }
                    return [2 /*return*/, {
@@ -93,4 +95,5 @@ export function loadQuantizedParams(uri) {
        });
    });
 }
+exports.loadQuantizedParams = loadQuantizedParams;
 //# sourceMappingURL=loadQuantizedParams.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/loadQuantizedParams.js.map
+++ b/dist/faceRecognitionNet/loadQuantizedParams.js.map
-{"version":3,"file":"loadQuantizedParams.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/loadQuantizedParams.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,UAAU,EAAE,UAAU,EAAE,UAAU,EAAE,MAAM,qBAAqB,CAAC;AACzE,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAGzD,IAAM,kBAAkB,GAAG,wBAAwB,CAAA;AAEnD,2BAA2B,SAAc;IAEvC,iCAAiC,MAAc;QAC7C,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,mBAAgB,CAAC;YAC7C,MAAM,EAAE,SAAS,CAAI,MAAM,kBAAe,CAAC;SAC5C,CAAA;QAED,IAAI,CAAC,UAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,uDAAkD,MAAM,CAAC,OAAS,CAAC,CAAA;SAChH;QAED,IAAI,CAAC,UAAU,CAAC,MAAM,CAAC,MAAM,CAAC,EAAE;YAC9B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,sDAAiD,MAAM,CAAC,MAAQ,CAAC,CAAA;SAC9G;QAED,OAAO,MAAM,CAAA;IACf,CAAC;IAED,gCAAgC,MAAc;QAC5C,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,kBAAe,CAAC;YAC5C,IAAI,EAAE,SAAS,CAAI,MAAM,eAAY,CAAC;SACvC,CAAA;QAED,IAAI,CAAC,UAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,sDAAiD,MAAM,CAAC,OAAS,CAAC,CAAA;SAC/G;QAED,IAAI,CAAC,UAAU,CAAC,MAAM,CAAC,IAAI,CAAC,EAAE;YAC5B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,mDAA8C,MAAM,CAAC,IAAM,CAAC,CAAA;SACzG;QAED,OAAO;YACL,IAAI,EAAE,MAAM;YACZ,KAAK,EAAE,uBAAuB,CAAC,MAAM,CAAC;SACvC,CAAA;IACH,CAAC;IAED,oCAAoC,MAAc;QAChD,OAAO;YACL,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;YAChD,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;SACjD,CAAA;IACH,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,MAAM,8BAAoC,GAAuB;;;;;wBAC7C,qBAAM,aAAa,CAAC,GAAG,EAAE,kBAAkB,CAAC,EAAA;;oBAAxD,SAAS,GAAG,SAA4C;oBAExD,KAGF,iBAAiB,CAAC,SAAS,CAAC,EAF9B,sBAAsB,4BAAA,EACtB,0BAA0B,gCAAA,CACI;oBAE1B,WAAW,GAAG,sBAAsB,CAAC,aAAa,CAAC,CAAA;oBACnD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBAEjD,WAAW,GAAG,0BAA0B,CAAC,aAAa,CAAC,CAAA;oBACvD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBAEjD,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;oBACzD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBAEnD,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;oBACzD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,gBAAgB,GAAG,0BAA0B,CAAC,kBAAkB,CAAC,CAAA;oBAEjE,EAAE,GAAG,SAAS,CAAC,IAAI,CAAC,CAAA;oBAE1B,IAAI,CAAC,UAAU,CAAC,EAAE,CAAC,EAAE;wBACnB,MAAM,IAAI,KAAK,CAAC,2DAAyD,EAAI,CAAC,CAAA;qBAC/E;oBAED,sBAAO;4BACL,WAAW,aAAA;4BACX,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,WAAW,aAAA;4BACX,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,YAAY,cAAA;4BACZ,SAAS,WAAA;4BACT,SAAS,WAAA;4BACT,YAAY,cAAA;4BACZ,SAAS,WAAA;4BACT,SAAS,WAAA;4BACT,gBAAgB,kBAAA;4BAChB,EAAE,IAAA;yBACH,EAAA;;;;CACF"}
+{"version":3,"file":"loadQuantizedParams.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/loadQuantizedParams.ts"],"names":[],"mappings":";;;AAAA,gDAAyE;AACzE,0DAAyD;AAGzD,IAAM,kBAAkB,GAAG,wBAAwB,CAAA;AAEnD,2BAA2B,SAAc;IAEvC,iCAAiC,MAAc;QAC7C,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,mBAAgB,CAAC;YAC7C,MAAM,EAAE,SAAS,CAAI,MAAM,kBAAe,CAAC;SAC5C,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,uDAAkD,MAAM,CAAC,OAAS,CAAC,CAAA;SAChH;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,MAAM,CAAC,EAAE;YAC9B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,sDAAiD,MAAM,CAAC,MAAQ,CAAC,CAAA;SAC9G;QAED,OAAO,MAAM,CAAA;IACf,CAAC;IAED,gCAAgC,MAAc;QAC5C,IAAM,MAAM,GAAG;YACb,OAAO,EAAE,SAAS,CAAI,MAAM,kBAAe,CAAC;YAC5C,IAAI,EAAE,SAAS,CAAI,MAAM,eAAY,CAAC;SACvC,CAAA;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,OAAO,CAAC,EAAE;YAC/B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,sDAAiD,MAAM,CAAC,OAAS,CAAC,CAAA;SAC/G;QAED,IAAI,CAAC,qBAAU,CAAC,MAAM,CAAC,IAAI,CAAC,EAAE;YAC5B,MAAM,IAAI,KAAK,CAAC,wBAAsB,MAAM,mDAA8C,MAAM,CAAC,IAAM,CAAC,CAAA;SACzG;QAED,OAAO;YACL,IAAI,EAAE,MAAM;YACZ,KAAK,EAAE,uBAAuB,CAAC,MAAM,CAAC;SACvC,CAAA;IACH,CAAC;IAED,oCAAoC,MAAc;QAChD,OAAO;YACL,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;YAChD,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;SACjD,CAAA;IACH,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,6BAA0C,GAAuB;;;;;wBAC7C,qBAAM,6BAAa,CAAC,GAAG,EAAE,kBAAkB,CAAC,EAAA;;oBAAxD,SAAS,GAAG,SAA4C;oBAExD,KAGF,iBAAiB,CAAC,SAAS,CAAC,EAF9B,sBAAsB,4BAAA,EACtB,0BAA0B,gCAAA,CACI;oBAE1B,WAAW,GAAG,sBAAsB,CAAC,aAAa,CAAC,CAAA;oBACnD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBAEjD,WAAW,GAAG,0BAA0B,CAAC,aAAa,CAAC,CAAA;oBACvD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBACjD,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;oBAEjD,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;oBACzD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBAEnD,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;oBACzD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;oBACnD,gBAAgB,GAAG,0BAA0B,CAAC,kBAAkB,CAAC,CAAA;oBAEjE,EAAE,GAAG,SAAS,CAAC,IAAI,CAAC,CAAA;oBAE1B,IAAI,CAAC,qBAAU,CAAC,EAAE,CAAC,EAAE;wBACnB,MAAM,IAAI,KAAK,CAAC,2DAAyD,EAAI,CAAC,CAAA;qBAC/E;oBAED,sBAAO;4BACL,WAAW,aAAA;4BACX,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,WAAW,aAAA;4BACX,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,QAAQ,UAAA;4BACR,YAAY,cAAA;4BACZ,SAAS,WAAA;4BACT,SAAS,WAAA;4BACT,YAAY,cAAA;4BACZ,SAAS,WAAA;4BACT,SAAS,WAAA;4BACT,gBAAgB,kBAAA;4BAChB,EAAE,IAAA;yBACH,EAAA;;;;CACF;AAnDD,kDAmDC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/normalize.js
+++ b/dist/faceRecognitionNet/normalize.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function normalize(x) {
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function normalize(x) {
    return tf.tidy(function () {
        var avg_r = tf.fill([1, 150, 150, 1], 122.782);
        var avg_g = tf.fill([1, 150, 150, 1], 117.001);
@@ -8,4 +10,5 @@ export function normalize(x) {
        return tf.div(tf.sub(x, avg_rgb), tf.scalar(256));
    });
 }
+exports.normalize = normalize;
 //# sourceMappingURL=normalize.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/normalize.js.map
+++ b/dist/faceRecognitionNet/normalize.js.map
-{"version":3,"file":"normalize.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/normalize.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,MAAM,oBAAoB,CAAc;IACtC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,OAAO,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAA;QAEnD,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAA;IACnD,CAAC,CAAC,CAAA;AACJ,CAAC"}
+{"version":3,"file":"normalize.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/normalize.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,mBAA0B,CAAc;IACtC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,KAAK,GAAG,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QACjD,IAAM,OAAO,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAA;QAEnD,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,OAAO,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAC,CAAA;IACnD,CAAC,CAAC,CAAA;AACJ,CAAC;AATD,8BASC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/residualLayer.js
+++ b/dist/faceRecognitionNet/residualLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { conv, convDown, convNoRelu } from './convLayer';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function residual(x, params) {
+var tf = require("@tensorflow/tfjs-core");
-    var out = conv(x, params.conv1);
+var convLayer_1 = require("./convLayer");
-    out = convNoRelu(out, params.conv2);
+function residual(x, params) {
+    var out = convLayer_1.conv(x, params.conv1);
+    out = convLayer_1.convNoRelu(out, params.conv2);
    out = tf.add(out, x);
    out = tf.relu(out);
    return out;
 }
-export function residualDown(x, params) {
+exports.residual = residual;
-    var out = convDown(x, params.conv1);
+function residualDown(x, params) {
-    out = convNoRelu(out, params.conv2);
+    var out = convLayer_1.convDown(x, params.conv1);
+    out = convLayer_1.convNoRelu(out, params.conv2);
    var pooled = tf.avgPool(x, 2, 2, 'valid');
    var zeros = tf.zeros(pooled.shape);
    var isPad = pooled.shape[3] !== out.shape[3];
@@ -29,4 +32,5 @@ export function residualDown(x, params) {
    out = tf.relu(out);
    return out;
 }
+exports.residualDown = residualDown;
 //# sourceMappingURL=residualLayer.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/residualLayer.js.map
+++ b/dist/faceRecognitionNet/residualLayer.js.map
-{"version":3,"file":"residualLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/residualLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,IAAI,EAAE,QAAQ,EAAE,UAAU,EAAE,MAAM,aAAa,CAAC;AAGzD,MAAM,mBAAmB,CAAc,EAAE,MAA2B;IAClE,IAAI,GAAG,GAAG,IAAI,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC/B,GAAG,GAAG,UAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IACpB,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AAED,MAAM,uBAAuB,CAAc,EAAE,MAA2B;IACtE,IAAI,GAAG,GAAG,QAAQ,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,UAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAEnC,IAAI,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAgB,CAAA;IACxD,IAAM,KAAK,GAAG,EAAE,CAAC,KAAK,CAAa,MAAM,CAAC,KAAK,CAAC,CAAA;IAChD,IAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC9C,IAAM,aAAa,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAE1F,IAAI,aAAa,EAAE;QACjB,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;QAEjC,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;KAClC;IAED,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAA;IACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAgB,CAAA;IAExC,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC"}
+{"version":3,"file":"residualLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/residualLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,yCAAyD;AAGzD,kBAAyB,CAAc,EAAE,MAA2B;IAClE,IAAI,GAAG,GAAG,gBAAI,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC/B,GAAG,GAAG,sBAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IACpB,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AAND,4BAMC;AAED,sBAA6B,CAAc,EAAE,MAA2B;IACtE,IAAI,GAAG,GAAG,oBAAQ,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,sBAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAEnC,IAAI,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAgB,CAAA;IACxD,IAAM,KAAK,GAAG,EAAE,CAAC,KAAK,CAAa,MAAM,CAAC,KAAK,CAAC,CAAA;IAChD,IAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC9C,IAAM,aAAa,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAE1F,IAAI,aAAa,EAAE;QACjB,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;QAEjC,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;KAClC;IAED,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAA;IACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAgB,CAAA;IAExC,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AA1BD,oCA0BC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/scaleLayer.js
+++ b/dist/faceRecognitionNet/scaleLayer.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-export function scale(x, params) {
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+function scale(x, params) {
    return tf.add(tf.mul(x, params.weights), params.biases);
 }
+exports.scale = scale;
 //# sourceMappingURL=scaleLayer.js.map
\ No newline at end of file
--- a/dist/faceRecognitionNet/scaleLayer.js.map
+++ b/dist/faceRecognitionNet/scaleLayer.js.map
-{"version":3,"file":"scaleLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/scaleLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,gBAAgB,CAAc,EAAE,MAAwB;IAC5D,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;AACzD,CAAC"}
+{"version":3,"file":"scaleLayer.js","sourceRoot":"","sources":["../../src/faceRecognitionNet/scaleLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,eAAsB,CAAc,EAAE,MAAwB;IAC5D,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;AACzD,CAAC;AAFD,sBAEC"}
\ No newline at end of file
--- a/dist/faceRecognitionNet/types.js
+++ b/dist/faceRecognitionNet/types.js
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file
--- a/dist/getImageTensor.js
+++ b/dist/getImageTensor.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { NetInput } from './NetInput';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function getImageTensor(input) {
+var tf = require("@tensorflow/tfjs-core");
+var NetInput_1 = require("./NetInput");
+function getImageTensor(input) {
    return tf.tidy(function () {
        if (input instanceof tf.Tensor) {
            var rank = input.shape.length;
@@ -9,10 +11,11 @@ export function getImageTensor(input) {
            }
            return (rank === 3 ? input.expandDims(0) : input).toFloat();
        }
-        var netInput = input instanceof NetInput ? input : new NetInput(input);
+        var netInput = input instanceof NetInput_1.NetInput ? input : new NetInput_1.NetInput(input);
        return tf.concat(netInput.canvases.map(function (canvas) {
            return tf.fromPixels(canvas).expandDims(0).toFloat();
        }));
    });
 }
+exports.getImageTensor = getImageTensor;
 //# sourceMappingURL=getImageTensor.js.map
\ No newline at end of file
--- a/dist/getImageTensor.js.map
+++ b/dist/getImageTensor.js.map
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+{"version":3,"file":"getImageTensor.js","sourceRoot":"","sources":["../src/getImageTensor.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,uCAAsC;AAGtC,wBAA+B,KAAuC;IACpE,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAI,KAAK,YAAY,EAAE,CAAC,MAAM,EAAE;YAC9B,IAAM,IAAI,GAAG,KAAK,CAAC,KAAK,CAAC,MAAM,CAAA;YAC/B,IAAI,IAAI,KAAK,CAAC,IAAI,IAAI,KAAK,CAAC,EAAE;gBAC5B,MAAM,IAAI,KAAK,CAAC,qCAAqC,CAAC,CAAA;aACvD;YAED,OAAO,CAAC,IAAI,KAAK,CAAC,CAAC,CAAC,CAAC,KAAK,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,OAAO,EAAiB,CAAA;SAC3E;QAED,IAAM,QAAQ,GAAG,KAAK,YAAY,mBAAQ,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,mBAAQ,CAAC,KAAK,CAAC,CAAA;QACxE,OAAO,EAAE,CAAC,MAAM,CACd,QAAQ,CAAC,QAAQ,CAAC,GAAG,CAAC,UAAA,MAAM;YAC1B,OAAA,EAAE,CAAC,UAAU,CAAC,MAAM,CAAC,CAAC,UAAU,CAAC,CAAC,CAAC,CAAC,OAAO,EAAE;QAA7C,CAA6C,CAC9C,CACa,CAAA;IAClB,CAAC,CAAC,CAAA;AACJ,CAAC;AAlBD,wCAkBC"}
\ No newline at end of file
--- a/dist/index.js
+++ b/dist/index.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { euclideanDistance } from './euclideanDistance';
+Object.defineProperty(exports, "__esModule", { value: true });
-import { NetInput } from './NetInput';
+var tslib_1 = require("tslib");
-import { padToSquare } from './padToSquare';
+var tf = require("@tensorflow/tfjs-core");
-export { euclideanDistance, NetInput, tf, padToSquare };
+exports.tf = tf;
-export * from './extractFaces';
+var euclideanDistance_1 = require("./euclideanDistance");
-export * from './extractFaceTensors';
+exports.euclideanDistance = euclideanDistance_1.euclideanDistance;
-export * from './faceDetectionNet';
+var NetInput_1 = require("./NetInput");
-export * from './faceLandmarkNet';
+exports.NetInput = NetInput_1.NetInput;
-export * from './faceRecognitionNet';
+var padToSquare_1 = require("./padToSquare");
-export * from './utils';
+exports.padToSquare = padToSquare_1.padToSquare;
+tslib_1.__exportStar(require("./extractFaces"), exports);
+tslib_1.__exportStar(require("./extractFaceTensors"), exports);
+tslib_1.__exportStar(require("./faceDetectionNet"), exports);
+tslib_1.__exportStar(require("./faceLandmarkNet"), exports);
+tslib_1.__exportStar(require("./faceRecognitionNet"), exports);
+tslib_1.__exportStar(require("./utils"), exports);
 //# sourceMappingURL=index.js.map
\ No newline at end of file
--- a/dist/index.js.map
+++ b/dist/index.js.map
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AACxD,OAAO,EAAE,QAAQ,EAAE,MAAM,YAAY,CAAC;AACtC,OAAO,EAAE,WAAW,EAAE,MAAM,eAAe,CAAC;AAE5C,OAAO,EACL,iBAAiB,EACjB,QAAQ,EACR,EAAE,EACF,WAAW,EACZ,CAAA;AAED,cAAc,gBAAgB,CAAA;AAC9B,cAAc,sBAAsB,CAAA;AACpC,cAAc,oBAAoB,CAAC;AACnC,cAAc,mBAAmB,CAAC;AAClC,cAAc,sBAAsB,CAAC;AACrC,cAAc,SAAS,CAAA"}
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAS1C,gBAAE;AAPJ,yDAAwD;AAKtD,4BALO,qCAAiB,CAKP;AAJnB,uCAAsC;AAKpC,mBALO,mBAAQ,CAKP;AAJV,6CAA4C;AAM1C,sBANO,yBAAW,CAMP;AAGb,yDAA8B;AAC9B,+DAAoC;AACpC,6DAAmC;AACnC,4DAAkC;AAClC,+DAAqC;AACrC,kDAAuB"}
\ No newline at end of file
--- a/dist/padToSquare.js
+++ b/dist/padToSquare.js
-import * as tf from '@tensorflow/tfjs-core';
+"use strict";
-import { isEven } from './utils';
+Object.defineProperty(exports, "__esModule", { value: true });
+var tf = require("@tensorflow/tfjs-core");
+var utils_1 = require("./utils");
 /**
 * Pads the smaller dimension of an image tensor with zeros, such that width === height.
 *
@@ -7,7 +9,7 @@ import { isEven } from './utils';
 * @param isCenterImage (optional, default: false) If true, add padding on both sides of the image, such that the image.
 * @returns The padded tensor with width === height.
 */
-export function padToSquare(imgTensor, isCenterImage) {
+function padToSquare(imgTensor, isCenterImage) {
    if (isCenterImage === void 0) { isCenterImage = false; }
    return tf.tidy(function () {
        var _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
@@ -23,9 +25,10 @@ export function padToSquare(imgTensor, isCenterImage) {
            paddingTensorShape[paddingAxis] = paddingAmount + (isRoundUp ? 1 : 0);
            return paddingTensorShape;
        };
-        var tensorsToStack = (isCenterImage ? [tf.fill(getPaddingTensorShape(!isEven(dimDiff)), 0)] : [])
+        var tensorsToStack = (isCenterImage ? [tf.fill(getPaddingTensorShape(!utils_1.isEven(dimDiff)), 0)] : [])
            .concat([imgTensor, tf.fill(getPaddingTensorShape(), 0)]);
        return tf.concat(tensorsToStack, paddingAxis);
    });
 }
+exports.padToSquare = padToSquare;
 //# sourceMappingURL=padToSquare.js.map
\ No newline at end of file
--- a/dist/padToSquare.js.map
+++ b/dist/padToSquare.js.map
-{"version":3,"file":"padToSquare.js","sourceRoot":"","sources":["../src/padToSquare.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,MAAM,EAAE,MAAM,SAAS,CAAC;AAEjC;;;;;;GAMG;AACH,MAAM,sBACJ,SAAsB,EACtB,aAA8B;IAA9B,8BAAA,EAAA,qBAA8B;IAE9B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEP,IAAA,6BAA0C,EAAzC,cAAM,EAAE,aAAK,CAA4B;QAChD,IAAI,MAAM,KAAK,KAAK,EAAE;YACpB,OAAO,SAAS,CAAA;SACjB;QAED,IAAM,OAAO,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,GAAG,KAAK,CAAC,CAAA;QACxC,IAAM,aAAa,GAAG,IAAI,CAAC,KAAK,CAAC,OAAO,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,WAAW,GAAG,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QAE1C,IAAM,qBAAqB,GAAG,UAAC,SAA0B;YAA1B,0BAAA,EAAA,iBAA0B;YACvD,IAAM,kBAAkB,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,EAAE,CAAA;YAClD,kBAAkB,CAAC,WAAW,CAAC,GAAG,aAAa,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;YACrE,OAAO,kBAAkB,CAAA;QAC3B,CAAC,CAAA;QAED,IAAM,cAAc,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,qBAAqB,CAAC,CAAC,MAAM,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC;aAChG,MAAM,CAAC,CAAC,SAAS,EAAG,EAAE,CAAC,IAAI,CAAC,qBAAqB,EAAE,EAAE,CAAC,CAAC,CAAC,CAAkB,CAAA;QAC7E,OAAO,EAAE,CAAC,MAAM,CAAC,cAAc,EAAE,WAAW,CAAC,CAAA;IAC/C,CAAC,CAAC,CAAA;AACJ,CAAC"}
+{"version":3,"file":"padToSquare.js","sourceRoot":"","sources":["../src/padToSquare.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,iCAAiC;AAEjC;;;;;;GAMG;AACH,qBACE,SAAsB,EACtB,aAA8B;IAA9B,8BAAA,EAAA,qBAA8B;IAE9B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEP,IAAA,6BAA0C,EAAzC,cAAM,EAAE,aAAK,CAA4B;QAChD,IAAI,MAAM,KAAK,KAAK,EAAE;YACpB,OAAO,SAAS,CAAA;SACjB;QAED,IAAM,OAAO,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,GAAG,KAAK,CAAC,CAAA;QACxC,IAAM,aAAa,GAAG,IAAI,CAAC,KAAK,CAAC,OAAO,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACrE,IAAM,WAAW,GAAG,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QAE1C,IAAM,qBAAqB,GAAG,UAAC,SAA0B;YAA1B,0BAAA,EAAA,iBAA0B;YACvD,IAAM,kBAAkB,GAAG,SAAS,CAAC,KAAK,CAAC,KAAK,EAAE,CAAA;YAClD,kBAAkB,CAAC,WAAW,CAAC,GAAG,aAAa,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;YACrE,OAAO,kBAAkB,CAAA;QAC3B,CAAC,CAAA;QAED,IAAM,cAAc,GAAG,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,qBAAqB,CAAC,CAAC,cAAM,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC;aAChG,MAAM,CAAC,CAAC,SAAS,EAAG,EAAE,CAAC,IAAI,CAAC,qBAAqB,EAAE,EAAE,CAAC,CAAC,CAAC,CAAkB,CAAA;QAC7E,OAAO,EAAE,CAAC,MAAM,CAAC,cAAc,EAAE,WAAW,CAAC,CAAA;IAC/C,CAAC,CAAC,CAAA;AACJ,CAAC;AAzBD,kCAyBC"}
\ No newline at end of file
--- a/dist/types.js
+++ b/dist/types.js
+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
 //# sourceMappingURL=types.js.map
\ No newline at end of file
--- a/dist/utils.js
+++ b/dist/utils.js
-import * as tslib_1 from "tslib";
+"use strict";
-import * as tf from '@tensorflow/tfjs-core';
+Object.defineProperty(exports, "__esModule", { value: true });
-export function isFloat(num) {
+var tslib_1 = require("tslib");
+var tf = require("@tensorflow/tfjs-core");
+function isFloat(num) {
    return num % 1 !== 0;
 }
-export function isEven(num) {
+exports.isFloat = isFloat;
+function isEven(num) {
    return num % 2 === 0;
 }
-export function round(num) {
+exports.isEven = isEven;
+function round(num) {
    return Math.floor(num * 100) / 100;
 }
-export function getElement(arg) {
+exports.round = round;
+function getElement(arg) {
    if (typeof arg === 'string') {
        return document.getElementById(arg);
    }
    return arg;
 }
-export function getContext2dOrThrow(canvas) {
+exports.getElement = getElement;
+function getContext2dOrThrow(canvas) {
    var ctx = canvas.getContext('2d');
    if (!ctx) {
        throw new Error('canvas 2d context is null');
    }
    return ctx;
 }
-export function createCanvas(_a) {
+exports.getContext2dOrThrow = getContext2dOrThrow;
+function createCanvas(_a) {
    var width = _a.width, height = _a.height;
    var canvas = document.createElement('canvas');
    canvas.width = width;
    canvas.height = height;
    return canvas;
 }
-export function createCanvasFromMedia(media, dims) {
+exports.createCanvas = createCanvas;
+function createCanvasFromMedia(media, dims) {
    var _a = dims || getMediaDimensions(media), width = _a.width, height = _a.height;
    var canvas = createCanvas({ width: width, height: height });
    getContext2dOrThrow(canvas).drawImage(media, 0, 0, width, height);
    return canvas;
 }
-export function getMediaDimensions(media) {
+exports.createCanvasFromMedia = createCanvasFromMedia;
+function getMediaDimensions(media) {
    if (media instanceof HTMLImageElement) {
        return { width: media.naturalWidth, height: media.naturalHeight };
    }
@@ -44,7 +53,8 @@ export function getMediaDimensions(media) {
    }
    return media;
 }
-export function bufferToImage(buf) {
+exports.getMediaDimensions = getMediaDimensions;
+function bufferToImage(buf) {
    return new Promise(function (resolve, reject) {
        if (!(buf instanceof Blob)) {
            return reject('bufferToImage - expected buf to be of type: Blob');
@@ -60,7 +70,8 @@ export function bufferToImage(buf) {
        reader.readAsDataURL(buf);
    });
 }
-export function imageTensorToCanvas(imgTensor, canvas) {
+exports.bufferToImage = bufferToImage;
+function imageTensorToCanvas(imgTensor, canvas) {
    return tslib_1.__awaiter(this, void 0, void 0, function () {
        var targetCanvas, _a, _, height, width, numChannels;
        return tslib_1.__generator(this, function (_b) {
@@ -76,7 +87,8 @@ export function imageTensorToCanvas(imgTensor, canvas) {
        });
    });
 }
-export function getDefaultDrawOptions() {
+exports.imageTensorToCanvas = imageTensorToCanvas;
+function getDefaultDrawOptions() {
    return {
        color: 'blue',
        lineWidth: 2,
@@ -84,20 +96,23 @@ export function getDefaultDrawOptions() {
        fontStyle: 'Georgia'
    };
 }
-export function drawBox(ctx, x, y, w, h, options) {
+exports.getDefaultDrawOptions = getDefaultDrawOptions;
+function drawBox(ctx, x, y, w, h, options) {
    var drawOptions = Object.assign(getDefaultDrawOptions(), (options || {}));
    ctx.strokeStyle = drawOptions.color;
    ctx.lineWidth = drawOptions.lineWidth;
    ctx.strokeRect(x, y, w, h);
 }
-export function drawText(ctx, x, y, text, options) {
+exports.drawBox = drawBox;
+function drawText(ctx, x, y, text, options) {
    var drawOptions = Object.assign(getDefaultDrawOptions(), (options || {}));
    var padText = 2 + drawOptions.lineWidth;
    ctx.fillStyle = drawOptions.color;
    ctx.font = drawOptions.fontSize + "px " + drawOptions.fontStyle;
    ctx.fillText(text, x + padText, y + padText + (drawOptions.fontSize * 0.6));
 }
-export function drawDetection(canvasArg, detection, options) {
+exports.drawText = drawText;
+function drawDetection(canvasArg, detection, options) {
    var canvas = getElement(canvasArg);
    if (!(canvas instanceof HTMLCanvasElement)) {
        throw new Error('drawBox - expected canvas to be of type: HTMLCanvasElement');
@@ -116,6 +131,7 @@ export function drawDetection(canvasArg, detection, options) {
        }
    });
 }
+exports.drawDetection = drawDetection;
 function drawContour(ctx, points, isClosed) {
    if (isClosed === void 0) { isClosed = false; }
    ctx.beginPath();
@@ -136,7 +152,7 @@ function drawContour(ctx, points, isClosed) {
    }
    ctx.stroke();
 }
-export function drawLandmarks(canvasArg, faceLandmarks, options) {
+function drawLandmarks(canvasArg, faceLandmarks, options) {
    var canvas = getElement(canvasArg);
    if (!(canvas instanceof HTMLCanvasElement)) {
        throw new Error('drawLandmarks - expected canvas to be of type: HTMLCanvasElement');
@@ -162,4 +178,5 @@ export function drawLandmarks(canvasArg, faceLandmarks, options) {
    ctx.fillStyle = color;
    faceLandmarks.getPositions().forEach(function (pt) { return ctx.fillRect(pt.x - ptOffset, pt.y - ptOffset, lineWidth, lineWidth); });
 }
+exports.drawLandmarks = drawLandmarks;
 //# sourceMappingURL=utils.js.map
\ No newline at end of file
--- a/dist/utils.js.map
+++ b/dist/utils.js.map
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\ No newline at end of file
--- a/rollup.config.js
+++ b/rollup.config.js
@@ -9,7 +9,13 @@ const { minify } = process.env
 export default {
  input: 'src/index.ts',
  plugins: [
-    typescript(),
+    typescript({
+      tsconfigOverride: {
+        compilerOptions: {
+          module: 'ES2015'
+        }
+      }
+    }),
    node(),
    commonjs()
  ].concat(minify ? uglify() : []),

--- a/tsconfig.json
+++ b/tsconfig.json
@@ -18,7 +18,7 @@
    "suppressImplicitAnyIndexErrors": true,
    "strictNullChecks": true,
    "importHelpers": true,
-    "module": "ES2015",
+    "module": "commonjs",
    "moduleResolution": "node",
    "target": "es5",
    "outDir": "dist",