check in latest build

build/commonjs/common/fullyConnectedLayer.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { FCParams } from 'tfjs-tiny-yolov2';
-export declare function fullyConnectedLayer(x: tf.Tensor2D, params: FCParams): tf.Tensor2D;
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
+export declare function fullyConnectedLayer(x: tf.Tensor2D, params: TfjsImageRecognitionBase.FCParams): tf.Tensor2D;

build/commonjs/common/fullyConnectedLayer.js.map

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\ No newline at end of file

build/commonjs/dom/drawContour.js.map

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\ No newline at end of file

build/commonjs/dom/drawFaceExpressions.js.map

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\ No newline at end of file

build/commonjs/dom/drawLandmarks.js.map

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\ No newline at end of file

build/commonjs/dom/extractFaceTensors.js.map

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\ No newline at end of file

build/commonjs/dom/extractFaces.js.map

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+{"version":3,"file":"extractFaces.js","sourceRoot":"","sources":["../../../src/dom/extractFaces.ts"],"names":[],"mappings":";;;AAAA,2EAQqC;AAErC,0DAAyD;AAEzD;;;;;;GAMG;AACH,SAAsB,YAAY,CAChC,KAAgB,EAChB,UAAuC;;;;;;oBAG/B,MAAM,GAAK,iCAAG,CAAC,MAAM,EAAE,OAAjB,CAAiB;oBAE3B,MAAM,GAAG,KAA0B,CAAA;yBAEnC,CAAC,CAAC,KAAK,YAAY,MAAM,CAAC,EAA1B,wBAA0B;oBACX,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;;oBAAlC,QAAQ,GAAG,SAAuB;oBAExC,IAAI,QAAQ,CAAC,SAAS,GAAG,CAAC,EAAE;wBAC1B,MAAM,IAAI,KAAK,CAAC,4CAA4C,CAAC,CAAA;qBAC9D;oBAEK,cAAc,GAAG,QAAQ,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAA;yBAClC,CAAA,cAAc,YAAY,MAAM,CAAA,EAAhC,wBAAgC;oBACrC,KAAA,cAAc,CAAA;;wBACd,qBAAM,iDAAmB,CAAC,cAAc,CAAC,EAAA;;oBAAzC,KAAA,SAAyC,CAAA;;;oBAF7C,MAAM,KAEuC,CAAA;;;oBAGzC,GAAG,GAAG,iDAAmB,CAAC,MAAM,CAAC,CAAA;oBACjC,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,6BAAa;wBACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,KAAK,EAAE;wBACtD,CAAC,CAAC,GAAG,EAFA,CAEA,CACR;yBACE,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,CAAC,kBAAkB,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,EAAnD,CAAmD,CAAC,CAAA;oBAElE,sBAAO,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;gCAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;4BACrC,IAAM,OAAO,GAAG,0CAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;4BAC/C,iDAAmB,CAAC,OAAO,CAAC;iCACzB,YAAY,CAAC,GAAG,CAAC,YAAY,CAAC,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;4BAC5D,OAAO,OAAO,CAAA;wBAChB,CAAC,CAAC,EAAA;;;;CACH;AApCD,oCAoCC"}
\ No newline at end of file

build/commonjs/dom/types.d.ts

-import { IPoint, IRect } from 'tfjs-tiny-yolov2';
+import { IPoint, IRect } from 'tfjs-image-recognition-base';
 import { WithFaceExpressions } from '../factories/WithFaceExpressions';
 export declare type DrawLandmarksOptions = {
     lineWidth?: number;

build/commonjs/euclideanDistance.js.map

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+{"version":3,"file":"euclideanDistance.js","sourceRoot":"","sources":["../../src/euclideanDistance.ts"],"names":[],"mappings":";;AAAA,SAAgB,iBAAiB,CAAC,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

build/commonjs/faceExpressionNet/FaceExpressionNet.js

@@ -45,8 +45,8 @@ var FaceExpressionNet = /** @class */ (function (_super) {
     };
     FaceExpressionNet.prototype.predictExpressions = function (input) {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
-            var _this = this;
             var netInput, out, probabilitesByBatch, predictionsByBatch;
+            var _this = this;
             return tslib_1.__generator(this, function (_a) {
                 switch (_a.label) {
                     case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];

build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.d.ts

@@ -8,16 +8,10 @@ export declare class FaceFeatureExtractor extends NeuralNetwork<FaceFeatureExtra
     protected getDefaultModelName(): string;
     protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
         params: FaceFeatureExtractorParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParams(weights: Float32Array): {
         params: FaceFeatureExtractorParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
 }

build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts

@@ -8,16 +8,10 @@ export declare class TinyFaceFeatureExtractor extends NeuralNetwork<TinyFaceFeat
     protected getDefaultModelName(): string;
     protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
         params: TinyFaceFeatureExtractorParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParams(weights: Float32Array): {
         params: TinyFaceFeatureExtractorParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
 }

build/commonjs/faceFeatureExtractor/denseBlock.js.map

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+{"version":3,"file":"denseBlock.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/denseBlock.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,mEAAkE;AAGlE,SAAgB,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B;IAA7B,6BAAA,EAAA,oBAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EACrG,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,+CAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAC/F,CAAA;QAChB,IAAM,IAAI,GAAG,+CAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;IACjE,CAAC,CAAC,CAAA;AACJ,CAAC;AArBD,kCAqBC;AAED,SAAgB,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B,EAC7B,WAA2B;IAD3B,6BAAA,EAAA,oBAA6B;IAC7B,4BAAA,EAAA,kBAA2B;IAE3B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EAC5H,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,+CAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CACtH,CAAA;QAChB,IAAM,IAAI,GAAG,+CAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;QACpE,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAC,CAAgB,CAAA;IAC/E,CAAC,CAAC,CAAA;AACJ,CAAC;AAzBD,kCAyBC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { SeparableConvParams } from 'tfjs-tiny-yolov2';
-export declare function depthwiseSeparableConv(x: tf.Tensor4D, params: SeparableConvParams, stride: [number, number]): tf.Tensor4D;
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
+export declare function depthwiseSeparableConv(x: tf.Tensor4D, params: TfjsImageRecognitionBase.SeparableConvParams, stride: [number, number]): tf.Tensor4D;

build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js.map

-{"version":3,"file":"depthwiseSeparableConv.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/depthwiseSeparableConv.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,gCACE,CAAc,EACd,MAA2B,EAC3B,MAAwB;IAExB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,EAAE,MAAM,CAAC,CAAA;QACjG,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,IAAI,CAAC,CAAA;QAC9B,OAAO,GAAG,CAAA;IACZ,CAAC,CAAC,CAAA;AACJ,CAAC;AAVD,wDAUC"}
+{"version":3,"file":"depthwiseSeparableConv.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/depthwiseSeparableConv.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,SAAgB,sBAAsB,CACpC,CAAc,EACd,MAAoD,EACpD,MAAwB;IAExB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,EAAE,MAAM,CAAC,CAAA;QACjG,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,IAAI,CAAC,CAAA;QAC9B,OAAO,GAAG,CAAA;IACZ,CAAC,CAAC,CAAA;AACJ,CAAC;AAVD,wDAUC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/extractParams.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
 import { FaceFeatureExtractorParams } from './types';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 export declare function extractParams(weights: Float32Array): {
     params: FaceFeatureExtractorParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceFeatureExtractor/extractParams.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var extractorsFactory_1 = require("./extractorsFactory");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 function extractParams(weights) {
     var paramMappings = [];
-    var _a = tfjs_image_recognition_base_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
     var extractDenseBlock4Params = extractorsFactory_1.extractorsFactory(extractWeights, paramMappings).extractDenseBlock4Params;
     var dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);
     var dense1 = extractDenseBlock4Params(32, 64, 'dense1');

build/commonjs/faceFeatureExtractor/extractParams.js.map

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+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParams.ts"],"names":[],"mappings":";;AACA,yDAAwD;AAExD,2EAAuE;AAEvE,SAAgB,aAAa,CAAC,OAAqB;IAEjD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,wHAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAC1D,IAAM,MAAM,GAAG,wBAAwB,CAAC,GAAG,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE3D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KAC3C,CAAA;AACH,CAAC;AA1BD,sCA0BC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { FaceFeatureExtractorParams } from './types';
 export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
     params: FaceFeatureExtractorParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js

@@ -11,7 +11,7 @@ function extractParamsFromWeigthMap(weightMap) {
         dense2: extractDenseBlock4Params('dense2'),
         dense3: extractDenseBlock4Params('dense3')
     };
-    tfjs_image_recognition_base_1.disposeUnusedWeightTensors(weightMap, paramMappings);
+    tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
     return { params: params, paramMappings: paramMappings };
 }
 exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js.map

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+{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAEvE,yDAAwD;AAGxD,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,mHAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AApBD,gEAoBC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { TinyFaceFeatureExtractorParams } from './types';
 export declare function extractParamsFromWeigthMapTiny(weightMap: tf.NamedTensorMap): {
     params: TinyFaceFeatureExtractorParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js

@@ -10,7 +10,7 @@ function extractParamsFromWeigthMapTiny(weightMap) {
         dense1: extractDenseBlock3Params('dense1'),
         dense2: extractDenseBlock3Params('dense2')
     };
-    tfjs_image_recognition_base_1.disposeUnusedWeightTensors(weightMap, paramMappings);
+    tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
     return { params: params, paramMappings: paramMappings };
 }
 exports.extractParamsFromWeigthMapTiny = extractParamsFromWeigthMapTiny;

build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map

-{"version":3,"file":"extractParamsFromWeigthMapTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.ts"],"names":[],"mappings":";;AACA,2EAAuF;AAEvF,yDAAwD;AAGxD,wCACE,SAA4B;IAG5B,IAAM,aAAa,GAAmB,EAAE,CAAA;IAGtC,IAAA,mHAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,wDAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEpD,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AAnBD,wEAmBC"}
+{"version":3,"file":"extractParamsFromWeigthMapTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAEvE,yDAAwD;AAGxD,SAAgB,8BAA8B,CAC5C,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,mHAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AAnBD,wEAmBC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/extractParamsTiny.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { TinyFaceFeatureExtractorParams } from './types';
 export declare function extractParamsTiny(weights: Float32Array): {
     params: TinyFaceFeatureExtractorParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceFeatureExtractor/extractParamsTiny.js

@@ -4,7 +4,7 @@ var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var extractorsFactory_1 = require("./extractorsFactory");
 function extractParamsTiny(weights) {
     var paramMappings = [];
-    var _a = tfjs_image_recognition_base_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
     var extractDenseBlock3Params = extractorsFactory_1.extractorsFactory(extractWeights, paramMappings).extractDenseBlock3Params;
     var dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);
     var dense1 = extractDenseBlock3Params(32, 64, 'dense1');

build/commonjs/faceFeatureExtractor/extractParamsTiny.js.map

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+{"version":3,"file":"extractParamsTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsTiny.ts"],"names":[],"mappings":";;AAAA,2EAAuE;AAEvE,yDAAwD;AAIxD,SAAgB,iBAAiB,CAAC,OAAqB;IAErD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,wHAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE1D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KACnC,CAAA;AACH,CAAC;AAzBD,8CAyBC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/extractorsFactory.d.ts

-import { ExtractWeightsFunction, ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function extractorsFactory(extractWeights: ExtractWeightsFunction, paramMappings: ParamMapping[]): {
+export declare function extractorsFactory(extractWeights: TfjsImageRecognitionBase.ExtractWeightsFunction, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
     extractDenseBlock3Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
     extractDenseBlock4Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
 };

build/commonjs/faceFeatureExtractor/extractorsFactory.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tf = require("@tensorflow/tfjs-core");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 function extractorsFactory(extractWeights, paramMappings) {
     function extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix) {
         var depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
         var pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);
         var bias = tf.tensor1d(extractWeights(channelsOut));
         paramMappings.push({ paramPath: mappedPrefix + "/depthwise_filter" }, { paramPath: mappedPrefix + "/pointwise_filter" }, { paramPath: mappedPrefix + "/bias" });
-        return new tfjs_tiny_yolov2_1.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
+        return new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
     }
-    var extractConvParams = tfjs_tiny_yolov2_1.extractConvParamsFactory(extractWeights, paramMappings);
+    var extractConvParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractConvParamsFactory(extractWeights, paramMappings);
     function extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
         if (isFirstLayer === void 0) { isFirstLayer = false; }
         var conv0 = isFirstLayer

build/commonjs/faceFeatureExtractor/extractorsFactory.js.map

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+{"version":3,"file":"extractorsFactory.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractorsFactory.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAIvE,SAAgB,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEvJ,SAAS,0BAA0B,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,GAAG,UAAU,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAA;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,GAAG,WAAW,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,WAAW,CAAC,CAAC,CAAA;QAC/G,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAErD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,UAAO,EAAE,CACtC,CAAA;QAED,OAAO,IAAI,sDAAwB,CAAC,mBAAmB,CACrD,gBAAgB,EAChB,gBAAgB,EAChB,IAAI,CACL,CAAA;IACH,CAAC;IAED,IAAM,iBAAiB,GAAG,sDAAwB,CAAC,wBAAwB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAE1G,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAE5H,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAC,UAAU,EAAE,WAAW,EAAE,CAAC,EAAK,YAAY,WAAQ,CAAC;YACxE,CAAC,CAAC,0BAA0B,CAAC,UAAU,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAChF,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAC3F,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IAChC,CAAC;IAED,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAEtH,IAAA,kFAAuG,EAArG,gBAAK,EAAE,gBAAK,EAAE,gBAAuF,CAAA;QAC7G,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACvC,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,wBAAwB,0BAAA;KACzB,CAAA;AAEH,CAAC;AA9CD,8CA8CC"}
\ No newline at end of file

build/commonjs/faceFeatureExtractor/loadParamsFactory.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function loadParamsFactory(weightMap: any, paramMappings: ParamMapping[]): {
+export declare function loadParamsFactory(weightMap: any, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
     extractDenseBlock3Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
     extractDenseBlock4Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
 };

build/commonjs/faceFeatureExtractor/loadParamsFactory.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
 function loadParamsFactory(weightMap, paramMappings) {
-    var extractWeightEntry = tfjs_image_recognition_base_1.extractWeightEntryFactory(weightMap, paramMappings);
+    var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
     function extractConvParams(prefix) {
         var filters = extractWeightEntry(prefix + "/filters", 4);
         var bias = extractWeightEntry(prefix + "/bias", 1);
@@ -13,7 +12,7 @@ function loadParamsFactory(weightMap, paramMappings) {
         var depthwise_filter = extractWeightEntry(prefix + "/depthwise_filter", 4);
         var pointwise_filter = extractWeightEntry(prefix + "/pointwise_filter", 4);
         var bias = extractWeightEntry(prefix + "/bias", 1);
-        return new tfjs_tiny_yolov2_1.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
+        return new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
     }
     function extractDenseBlock3Params(prefix, isFirstLayer) {
         if (isFirstLayer === void 0) { isFirstLayer = false; }

build/commonjs/faceFeatureExtractor/loadParamsFactory.js.map

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\ No newline at end of file

build/commonjs/faceFeatureExtractor/types.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { ConvParams, SeparableConvParams } from 'tfjs-tiny-yolov2';
+import { NetInput, NeuralNetwork, TNetInput, TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 export declare type ConvWithBatchNormParams = BatchNormParams & {
     filter: tf.Tensor4D;
 };
@@ -15,12 +14,12 @@ export declare type SeparableConvWithBatchNormParams = {
     pointwise: ConvWithBatchNormParams;
 };
 export declare type DenseBlock3Params = {
-    conv0: SeparableConvParams | ConvParams;
-    conv1: SeparableConvParams;
-    conv2: SeparableConvParams;
+    conv0: TfjsImageRecognitionBase.SeparableConvParams | TfjsImageRecognitionBase.ConvParams;
+    conv1: TfjsImageRecognitionBase.SeparableConvParams;
+    conv2: TfjsImageRecognitionBase.SeparableConvParams;
 };
 export declare type DenseBlock4Params = DenseBlock3Params & {
-    conv3: SeparableConvParams;
+    conv3: TfjsImageRecognitionBase.SeparableConvParams;
 };
 export declare type TinyFaceFeatureExtractorParams = {
     dense0: DenseBlock3Params;

build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js

@@ -69,8 +69,8 @@ var FaceLandmark68NetBase = /** @class */ (function (_super) {
     };
     FaceLandmark68NetBase.prototype.detectLandmarks = function (input) {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
-            var _this = this;
             var netInput, landmarkTensors, landmarksForBatch;
+            var _this = this;
             return tslib_1.__generator(this, function (_a) {
                 switch (_a.label) {
                     case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];

build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js.map

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\ No newline at end of file

build/commonjs/faceProcessor/FaceProcessor.d.ts

@@ -14,23 +14,14 @@ export declare abstract class FaceProcessor<TExtractorParams extends FaceFeature
     loadClassifierParams(weights: Float32Array): void;
     extractClassifierParams(weights: Float32Array): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParams(weights: Float32Array): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
 }

build/commonjs/faceProcessor/FaceProcessor.js.map

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+{"version":3,"file":"FaceProcessor.js","sourceRoot":"","sources":["../../../src/faceProcessor/FaceProcessor.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAsE;AAEtE,qEAAoE;AAMpE,iDAAgD;AAChD,2EAA0E;AAE1E,+BAA4C;AAE5C;IAGU,yCAAwB;IAIhC,uBAAY,KAAa,EAAE,oBAA6D;QAAxF,YACE,kBAAM,KAAK,CAAC,SAEb;QADC,KAAI,CAAC,qBAAqB,GAAG,oBAAoB,CAAA;;IACnD,CAAC;IAED,sBAAW,+CAAoB;aAA/B;YACE,OAAO,IAAI,CAAC,qBAAqB,CAAA;QACnC,CAAC;;;OAAA;IAMM,8BAAM,GAAb,UAAc,KAA6B;QAA3C,iBAcC;QAZS,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,mCAAgC,CAAC,CAAA;SAC/D;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,kBAAkB,GAAG,KAAK,YAAY,sCAAQ;gBAClD,CAAC,CAAC,KAAI,CAAC,oBAAoB,CAAC,YAAY,CAAC,KAAK,CAAC;gBAC/C,CAAC,CAAC,KAAK,CAAA;YACT,OAAO,yCAAmB,CAAC,kBAAkB,CAAC,IAAI,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;QACjG,CAAC,CAAC,CAAA;IACJ,CAAC;IAEM,+BAAO,GAAd,UAAe,gBAAgC;QAAhC,iCAAA,EAAA,uBAAgC;QAC7C,IAAI,CAAC,oBAAoB,CAAC,OAAO,CAAC,gBAAgB,CAAC,CAAA;QACnD,iBAAM,OAAO,YAAC,gBAAgB,CAAC,CAAA;IACjC,CAAC;IAEM,4CAAoB,GAA3B,UAA4B,OAAqB;QACzC,IAAA,0CAAiE,EAA/D,kBAAM,EAAE,gCAAuD,CAAA;QACvE,IAAI,CAAC,OAAO,GAAG,MAAM,CAAA;QACrB,IAAI,CAAC,cAAc,GAAG,aAAa,CAAA;IACrC,CAAC;IAEM,+CAAuB,GAA9B,UAA+B,OAAqB;QAClD,OAAO,6BAAa,CAAC,OAAO,EAAE,IAAI,CAAC,uBAAuB,EAAE,EAAE,IAAI,CAAC,wBAAwB,EAAE,CAAC,CAAA;IAChG,CAAC;IAES,kDAA0B,GAApC,UAAqC,SAA4B;QAEzD,IAAA,yCAAsE,EAApE,4CAAmB,EAAE,gCAA+C,CAAA;QAE5E,IAAI,CAAC,oBAAoB,CAAC,iBAAiB,CAAC,mBAAmB,CAAC,CAAA;QAEhE,OAAO,uDAA0B,CAAC,aAAa,CAAC,CAAA;IAClD,CAAC;IAES,qCAAa,GAAvB,UAAwB,OAAqB;QAE3C,IAAM,GAAG,GAAG,IAAI,CAAC,uBAAuB,EAAE,CAAA;QAC1C,IAAM,IAAI,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAC5C,IAAM,oBAAoB,GAAG,CAAC,IAAI,GAAG,GAAG,CAAE,GAAG,IAAI,CAAA;QAEjD,IAAM,uBAAuB,GAAG,OAAO,CAAC,KAAK,CAAC,CAAC,EAAE,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QACvF,IAAM,iBAAiB,GAAG,OAAO,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QAE9E,IAAI,CAAC,oBAAoB,CAAC,cAAc,CAAC,uBAAuB,CAAC,CAAA;QACjE,OAAO,IAAI,CAAC,uBAAuB,CAAC,iBAAiB,CAAC,CAAA;IACxD,CAAC;IACH,oBAAC;AAAD,CAAC,AAxED,CAGU,2CAAa,GAqEtB;AAxEqB,sCAAa"}
\ No newline at end of file

build/commonjs/faceProcessor/extractParams.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceProcessor/extractParams.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
 function extractParams(weights, channelsIn, channelsOut) {
     var paramMappings = [];
-    var _a = tfjs_image_recognition_base_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
-    var extractFCParams = tfjs_tiny_yolov2_1.extractFCParamsFactory(extractWeights, paramMappings);
+    var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var extractFCParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractFCParamsFactory(extractWeights, paramMappings);
     var fc = extractFCParams(channelsIn, channelsOut, 'fc');
     if (getRemainingWeights().length !== 0) {
         throw new Error("weights remaing after extract: " + getRemainingWeights().length);

build/commonjs/faceProcessor/extractParams.js.map

-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":";;AAAA,2EAAkF;AAClF,qDAA0D;AAI1D,uBAA8B,OAAqB,EAAE,UAAkB,EAAE,WAAmB;IAE1F,IAAM,aAAa,GAAmB,EAAE,CAAA;IAElC,IAAA,iEAG4B,EAFhC,kCAAc,EACd,4CAAmB,CACa;IAElC,IAAM,eAAe,GAAG,yCAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAE7E,IAAM,EAAE,GAAG,eAAe,CAAC,UAAU,EAAE,WAAW,EAAE,IAAI,CAAC,CAAA;IAEzD,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,EAAE,IAAA,EAAE;KACf,CAAA;AACH,CAAC;AArBD,sCAqBC"}
+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":";;AAAA,2EAAuE;AAIvE,SAAgB,aAAa,CAAC,OAAqB,EAAE,UAAkB,EAAE,WAAmB;IAE1F,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,eAAe,GAAG,sDAAwB,CAAC,sBAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAEtG,IAAM,EAAE,GAAG,eAAe,CAAC,UAAU,EAAE,WAAW,EAAE,IAAI,CAAC,CAAA;IAEzD,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,EAAE,IAAA,EAAE;KACf,CAAA;AACH,CAAC;AArBD,sCAqBC"}
\ No newline at end of file

build/commonjs/faceProcessor/extractParamsFromWeigthMap.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceProcessor/extractParamsFromWeigthMap.js

@@ -3,7 +3,7 @@ Object.defineProperty(exports, "__esModule", { value: true });
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 function extractParamsFromWeigthMap(weightMap) {
     var paramMappings = [];
-    var extractWeightEntry = tfjs_image_recognition_base_1.extractWeightEntryFactory(weightMap, paramMappings);
+    var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
     function extractFcParams(prefix) {
         var weights = extractWeightEntry(prefix + "/weights", 2);
         var bias = extractWeightEntry(prefix + "/bias", 1);
@@ -12,7 +12,7 @@ function extractParamsFromWeigthMap(weightMap) {
     var params = {
         fc: extractFcParams('fc')
     };
-    tfjs_image_recognition_base_1.disposeUnusedWeightTensors(weightMap, paramMappings);
+    tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
     return { params: params, paramMappings: paramMappings };
 }
 exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;

build/commonjs/faceProcessor/extractParamsFromWeigthMap.js.map

-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAkH;AAKlH,oCACE,SAA4B;IAG5B,IAAM,aAAa,GAAmB,EAAE,CAAA;IAExC,IAAM,kBAAkB,GAAG,uDAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE9E,yBAAyB,MAAc;QACrC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QACjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,IAAM,MAAM,GAAG;QACb,EAAE,EAAE,eAAe,CAAC,IAAI,CAAC;KAC1B,CAAA;IAED,wDAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEpD,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AArBD,gEAqBC"}
+{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAIvE,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAEjE,IAAM,kBAAkB,GAAG,sDAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,eAAe,CAAC,MAAc;QACrC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QACjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,IAAM,MAAM,GAAG;QACb,EAAE,EAAE,eAAe,CAAC,IAAI,CAAC;KAC1B,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AArBD,gEAqBC"}
\ No newline at end of file

build/commonjs/faceProcessor/types.d.ts

-import { FCParams } from 'tfjs-tiny-yolov2';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 export declare type NetParams = {
-    fc: FCParams;
+    fc: TfjsImageRecognitionBase.FCParams;
 };

build/commonjs/faceProcessor/util.js.map

-{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":";;AAEA,4BAAmC,SAA4B;IAE7D,IAAM,mBAAmB,GAAsB,EAAE,CAAA;IACjD,IAAM,aAAa,GAAsB,EAAE,CAAA;IAE3C,MAAM,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,OAAO,CAAC,UAAA,GAAG;QAChC,IAAM,GAAG,GAAG,GAAG,CAAC,UAAU,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,mBAAmB,CAAA;QACtE,GAAG,CAAC,GAAG,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;IAEF,OAAO,EAAE,mBAAmB,qBAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAE/C,CAAC;AAZD,gDAYC"}
+{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":";;AAEA,SAAgB,kBAAkB,CAAC,SAA4B;IAE7D,IAAM,mBAAmB,GAAsB,EAAE,CAAA;IACjD,IAAM,aAAa,GAAsB,EAAE,CAAA;IAE3C,MAAM,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,OAAO,CAAC,UAAA,GAAG;QAChC,IAAM,GAAG,GAAG,GAAG,CAAC,UAAU,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,mBAAmB,CAAA;QACtE,GAAG,CAAC,GAAG,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;IAEF,OAAO,EAAE,mBAAmB,qBAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAE/C,CAAC;AAZD,gDAYC"}
\ No newline at end of file

build/commonjs/faceRecognitionNet/FaceRecognitionNet.d.ts

@@ -9,16 +9,10 @@ export declare class FaceRecognitionNet extends NeuralNetwork<NetParams> {
     protected getDefaultModelName(): string;
     protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParams(weights: Float32Array): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
 }

build/commonjs/faceRecognitionNet/FaceRecognitionNet.js

@@ -57,8 +57,8 @@ var FaceRecognitionNet = /** @class */ (function (_super) {
     };
     FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
-            var _this = this;
             var netInput, faceDescriptorTensors, faceDescriptorsForBatch;
+            var _this = this;
             return tslib_1.__generator(this, function (_a) {
                 switch (_a.label) {
                     case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];

build/commonjs/faceRecognitionNet/convLayer.js.map

-{"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"}
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\ No newline at end of file

build/commonjs/faceRecognitionNet/extractParams.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParams(weights: Float32Array): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceRecognitionNet/extractParams.js

@@ -43,7 +43,7 @@ function extractorsFactory(extractWeights, paramMappings) {
     };
 }
 function extractParams(weights) {
-    var _a = tfjs_image_recognition_base_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
     var paramMappings = [];
     var _b = extractorsFactory(extractWeights, paramMappings), extractConvLayerParams = _b.extractConvLayerParams, extractResidualLayerParams = _b.extractResidualLayerParams;
     var conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');

build/commonjs/faceRecognitionNet/extractParams.js.map

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+{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParams.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAgF;AAIhF,SAAS,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEhJ,SAAS,mBAAmB,CAAC,eAAuB,EAAE,UAAkB,EAAE,UAAkB;QAC1F,IAAM,OAAO,GAAG,cAAc,CAAC,eAAe,CAAC,CAAA;QAC/C,IAAM,KAAK,GAAG,OAAO,CAAC,MAAM,GAAG,CAAC,UAAU,GAAG,UAAU,GAAG,UAAU,CAAC,CAAA;QAErE,IAAI,qCAAO,CAAC,KAAK,CAAC,EAAE;YAClB,MAAM,IAAI,KAAK,CAAC,iCAA+B,KAAK,0BAAqB,OAAO,CAAC,MAAM,sBAAiB,UAAU,sBAAiB,UAAY,CAAC,CAAA;SACjJ;QAED,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,SAAS,CAChB,EAAE,CAAC,QAAQ,CAAC,OAAO,EAAE,CAAC,UAAU,EAAE,KAAK,EAAE,UAAU,EAAE,UAAU,CAAC,CAAC,EACjE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACb,EAHK,CAGL,CACF,CAAA;IACH,CAAC;IAED,SAAS,iBAAiB,CACxB,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,IAAM,OAAO,GAAG,mBAAmB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,CAAC,CAAA;QAC5E,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEpD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,aAAU,EAAE,EACxC,EAAE,SAAS,EAAK,YAAY,UAAO,EAAE,CACtC,CAAA;QAED,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,uBAAuB,CAAC,UAAkB,EAAE,YAAoB;QAEvE,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEtD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,aAAU,EAAE,EACxC,EAAE,SAAS,EAAK,YAAY,YAAS,EAAE,CACxC,CAAA;QAED,OAAO;YACL,OAAO,SAAA;YACP,MAAM,QAAA;SACP,CAAA;IACH,CAAC;IAED,SAAS,sBAAsB,CAC7B,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,IAAM,IAAI,GAAG,iBAAiB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,UAAO,CAAC,CAAA;QAC/F,IAAM,KAAK,GAAG,uBAAuB,CAAC,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE1E,OAAO,EAAE,IAAI,MAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACxB,CAAC;IAED,SAAS,0BAA0B,CACjC,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB,EACpB,MAAuB;QAAvB,uBAAA,EAAA,cAAuB;QAGvB,IAAM,KAAK,GAAG,sBAAsB,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAC3H,IAAM,KAAK,GAAG,sBAAsB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAEtG,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACzB,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,SAAgB,aAAa,CAAC,OAAqB;IAE3C,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,qDAG8C,EAFlD,kDAAsB,EACtB,0DACkD,CAAA;IAEpD,IAAM,WAAW,GAAG,sBAAsB,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,CAAC,CAAA;IACtE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAEpE,IAAM,WAAW,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,EAAE,IAAI,CAAC,CAAA;IACjF,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAErE,IAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IAEzE,IAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,gBAAgB,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,kBAAkB,CAAC,CAAA;IAEvF,IAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAChB,cAAM,OAAA,EAAE,CAAC,SAAS,CAAC,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,GAAG,GAAG,GAAG,CAAC,EAAE,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAxE,CAAwE,CAC/E,CAAA;IACD,aAAa,CAAC,IAAI,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAA;IAEvC,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,IAAM,MAAM,GAAG;QACb,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,gBAAgB,kBAAA;QAChB,EAAE,IAAA;KACH,CAAA;IAED,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AA9DD,sCA8DC"}
\ No newline at end of file

build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js

@@ -2,7 +2,7 @@
 Object.defineProperty(exports, "__esModule", { value: true });
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 function extractorsFactory(weightMap, paramMappings) {
-    var extractWeightEntry = tfjs_image_recognition_base_1.extractWeightEntryFactory(weightMap, paramMappings);
+    var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
     function extractScaleLayerParams(prefix) {
         var weights = extractWeightEntry(prefix + "/scale/weights", 1);
         var biases = extractWeightEntry(prefix + "/scale/biases", 1);
@@ -66,7 +66,7 @@ function extractParamsFromWeigthMap(weightMap) {
         conv256_down_out: conv256_down_out,
         fc: fc
     };
-    tfjs_image_recognition_base_1.disposeUnusedWeightTensors(weightMap, paramMappings);
+    tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
     return { params: params, paramMappings: paramMappings };
 }
 exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;

build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js.map

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\ No newline at end of file

build/commonjs/faceRecognitionNet/index.js.map

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+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/index.ts"],"names":[],"mappings":";;;AAAA,2DAA0D;AAE1D,+DAAqC;AAErC,SAAgB,wBAAwB,CAAC,OAAqB;IAC5D,IAAM,GAAG,GAAG,IAAI,uCAAkB,EAAE,CAAA;IACpC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,4DAIC"}
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build/commonjs/faceRecognitionNet/residualLayer.js.map

-{"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"}
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build/commonjs/faceRecognitionNet/scaleLayer.js.map

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+{"version":3,"file":"scaleLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/scaleLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,SAAgB,KAAK,CAAC,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

build/commonjs/faceRecognitionNet/types.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ConvParams } from 'tfjs-tiny-yolov2';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 export declare type ScaleLayerParams = {
     weights: tf.Tensor1D;
     biases: tf.Tensor1D;
@@ -9,7 +9,7 @@ export declare type ResidualLayerParams = {
     conv2: ConvLayerParams;
 };
 export declare type ConvLayerParams = {
-    conv: ConvParams;
+    conv: TfjsImageRecognitionBase.ConvParams;
     scale: ScaleLayerParams;
 };
 export declare type NetParams = {

build/commonjs/factories/WithFaceDescriptor.js.map

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+{"version":3,"file":"WithFaceDescriptor.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDescriptor.ts"],"names":[],"mappings":";;AAIA,SAAgB,wBAAwB,CAGtC,SAAkB,EAClB,UAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,UAAU,YAAA,EAAE,CAAA;IAChC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,4DASC"}
\ No newline at end of file

build/commonjs/factories/WithFaceDetection.js.map

-{"version":3,"file":"WithFaceDetection.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDetection.ts"],"names":[],"mappings":";;AAMA,iCAGE,SAAkB,EAClB,SAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,SAAS,WAAA,EAAE,CAAA;IAC/B,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,0DASC"}
+{"version":3,"file":"WithFaceDetection.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDetection.ts"],"names":[],"mappings":";;AAMA,SAAgB,uBAAuB,CAGrC,SAAkB,EAClB,SAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,SAAS,WAAA,EAAE,CAAA;IAC/B,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,0DASC"}
\ No newline at end of file

build/commonjs/factories/WithFaceExpressions.js.map

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+{"version":3,"file":"WithFaceExpressions.js","sourceRoot":"","sources":["../../../src/factories/WithFaceExpressions.ts"],"names":[],"mappings":";;AAMA,SAAgB,yBAAyB,CAGvC,SAAkB,EAClB,WAAuC;IAGvC,IAAM,SAAS,GAAG,EAAE,WAAW,aAAA,EAAE,CAAA;IACjC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,8DASC"}
\ No newline at end of file

build/commonjs/factories/WithFaceLandmarks.js.map

-{"version":3,"file":"WithFaceLandmarks.js","sourceRoot":"","sources":["../../../src/factories/WithFaceLandmarks.ts"],"names":[],"mappings":";;AAAA,0DAAyD;AAczD,iCAIE,SAAkB,EAClB,kBAAkC;IAG1B,IAAA,+BAAU,CAAwB;IAC1C,IAAM,SAAS,GAAG,kBAAkB,CAAC,OAAO,CAAiB,KAAK,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAA;IAE9E,IAAM,IAAI,GAAG,SAAS,CAAC,KAAK,EAAE,CAAA;IACtB,IAAA,yCAAS,CAAwB;IACzC,IAAM,WAAW,GAAG,IAAI,6BAAa,CAAC,SAAS,CAAC,SAAS,CAAC,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,SAAS,CAAC,OAAO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAA;IAE9G,IAAM,SAAS,GAAG;QAChB,SAAS,WAAA;QACT,kBAAkB,oBAAA;QAClB,WAAW,aAAA;KACZ,CAAA;IAED,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AAtBD,0DAsBC"}
+{"version":3,"file":"WithFaceLandmarks.js","sourceRoot":"","sources":["../../../src/factories/WithFaceLandmarks.ts"],"names":[],"mappings":";;AAAA,0DAAyD;AAczD,SAAgB,uBAAuB,CAIrC,SAAkB,EAClB,kBAAkC;IAG1B,IAAA,+BAAU,CAAwB;IAC1C,IAAM,SAAS,GAAG,kBAAkB,CAAC,OAAO,CAAiB,KAAK,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAA;IAE9E,IAAM,IAAI,GAAG,SAAS,CAAC,KAAK,EAAE,CAAA;IACtB,IAAA,yCAAS,CAAwB;IACzC,IAAM,WAAW,GAAG,IAAI,6BAAa,CAAC,SAAS,CAAC,SAAS,CAAC,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,SAAS,CAAC,OAAO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAA;IAE9G,IAAM,SAAS,GAAG;QAChB,SAAS,WAAA;QACT,kBAAkB,oBAAA;QAClB,WAAW,aAAA;KACZ,CAAA;IAED,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AAtBD,0DAsBC"}
\ No newline at end of file

build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js

@@ -24,8 +24,8 @@ var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
     }
     ComputeAllFaceDescriptorsTask.prototype.run = function () {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
-            var _this = this;
             var parentResults, alignedRects, alignedFaces, _a, results;
+            var _this = this;
             return tslib_1.__generator(this, function (_b) {
                 switch (_b.label) {
                     case 0: return [4 /*yield*/, this.parentTask];

build/commonjs/globalApi/DetectFaceLandmarksTasks.js

@@ -35,8 +35,8 @@ var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
     }
     DetectAllFaceLandmarksTask.prototype.run = function () {
         return tslib_1.__awaiter(this, void 0, void 0, function () {
-            var _this = this;
             var parentResults, detections, faces, _a, faceLandmarksByFace;
+            var _this = this;
             return tslib_1.__generator(this, function (_b) {
                 switch (_b.label) {
                     case 0: return [4 /*yield*/, this.parentTask];

build/commonjs/globalApi/DetectFacesTasks.d.ts

@@ -3,8 +3,8 @@ import { FaceDetection } from '../classes/FaceDetection';
 import { WithFaceDetection } from '../factories/WithFaceDetection';
 import { ComposableTask } from './ComposableTask';
 import { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';
-import { FaceDetectionOptions } from './types';
 import { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionTask } from './PredictFaceExpressionsTask';
+import { FaceDetectionOptions } from './types';
 export declare class DetectFacesTaskBase<TReturn> extends ComposableTask<TReturn> {
     protected input: TNetInput;
     protected options: FaceDetectionOptions;
@@ -12,13 +12,13 @@ export declare class DetectFacesTaskBase<TReturn> extends ComposableTask<TReturn
 }
 export declare class DetectAllFacesTask extends DetectFacesTaskBase<FaceDetection[]> {
     run(): Promise<FaceDetection[]>;
-    private runAndExtendWithFaceDetections();
+    private runAndExtendWithFaceDetections;
     withFaceLandmarks(useTinyLandmarkNet?: boolean): DetectAllFaceLandmarksTask<WithFaceDetection<{}>>;
     withFaceExpressions(): PredictAllFaceExpressionsTask<WithFaceDetection<{}>>;
 }
 export declare class DetectSingleFaceTask extends DetectFacesTaskBase<FaceDetection | undefined> {
     run(): Promise<FaceDetection | undefined>;
-    private runAndExtendWithFaceDetection();
+    private runAndExtendWithFaceDetection;
     withFaceLandmarks(useTinyLandmarkNet?: boolean): DetectSingleFaceLandmarksTask<WithFaceDetection<{}>>;
     withFaceExpressions(): PredictSingleFaceExpressionTask<WithFaceDetection<{}>>;
 }

build/commonjs/globalApi/DetectFacesTasks.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tslib_1 = require("tslib");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var WithFaceDetection_1 = require("../factories/WithFaceDetection");
 var MtcnnOptions_1 = require("../mtcnn/MtcnnOptions");
 var SsdMobilenetv1Options_1 = require("../ssdMobilenetv1/SsdMobilenetv1Options");
@@ -43,7 +43,7 @@ var DetectAllFacesTask = /** @class */ (function (_super) {
                             ? function (input) { return nets_1.nets.tinyFaceDetector.locateFaces(input, options); }
                             : (options instanceof SsdMobilenetv1Options_1.SsdMobilenetv1Options
                                 ? function (input) { return nets_1.nets.ssdMobilenetv1.locateFaces(input, options); }
-                                : (options instanceof tfjs_tiny_yolov2_1.TinyYolov2Options
+                                : (options instanceof tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2Options
                                     ? function (input) { return nets_1.nets.tinyYolov2.locateFaces(input, options); }
                                     : null));
                         if (!faceDetectionFunction) {

build/commonjs/globalApi/DetectFacesTasks.js.map

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\ No newline at end of file

build/commonjs/globalApi/PredictFaceExpressionsTask.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tslib_1 = require("tslib");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tf = require("@tensorflow/tfjs-core");
 var dom_1 = require("../dom");
 var WithFaceExpressions_1 = require("../factories/WithFaceExpressions");
 var ComposableTask_1 = require("./ComposableTask");
@@ -32,7 +32,7 @@ var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
                     case 1:
                         parentResults = _b.sent();
                         detections = parentResults.map(function (parentResult) { return parentResult.detection; });
-                        if (!(this.input instanceof tfjs_tiny_yolov2_1.tf.Tensor)) return [3 /*break*/, 3];
+                        if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
                         return [4 /*yield*/, dom_1.extractFaceTensors(this.input, detections)];
                     case 2:
                         _a = _b.sent();
@@ -46,7 +46,7 @@ var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
                         return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets_1.nets.faceExpressionNet.predictExpressions(face); }))];
                     case 6:
                         faceExpressionsByFace = _b.sent();
-                        faces.forEach(function (f) { return f instanceof tfjs_tiny_yolov2_1.tf.Tensor && f.dispose(); });
+                        faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
                         return [2 /*return*/, parentResults.map(function (parentResult, i) { return WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]); })];
                 }
             });
@@ -75,7 +75,7 @@ var PredictSingleFaceExpressionTask = /** @class */ (function (_super) {
                             return [2 /*return*/];
                         }
                         detection = parentResult.detection;
-                        if (!(this.input instanceof tfjs_tiny_yolov2_1.tf.Tensor)) return [3 /*break*/, 3];
+                        if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
                         return [4 /*yield*/, dom_1.extractFaceTensors(this.input, [detection])];
                     case 2:
                         _a = _b.sent();
@@ -89,7 +89,7 @@ var PredictSingleFaceExpressionTask = /** @class */ (function (_super) {
                         return [4 /*yield*/, nets_1.nets.faceExpressionNet.predictExpressions(faces[0])];
                     case 6:
                         faceExpressions = _b.sent();
-                        faces.forEach(function (f) { return f instanceof tfjs_tiny_yolov2_1.tf.Tensor && f.dispose(); });
+                        faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
                         return [2 /*return*/, WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressions)];
                 }
             });

build/commonjs/globalApi/PredictFaceExpressionsTask.js.map

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\ No newline at end of file

build/commonjs/globalApi/allFaces.d.ts

-import { TNetInput } from 'tfjs-image-recognition-base';
-import { ITinyYolov2Options } from 'tfjs-tiny-yolov2';
+import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
 import { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories';
 import { IMtcnnOptions } from '../mtcnn/MtcnnOptions';
 export declare function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise<WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>[]>;
-export declare function allFacesTinyYolov2(input: TNetInput, forwardParams?: ITinyYolov2Options): Promise<WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>[]>;
+export declare function allFacesTinyYolov2(input: TNetInput, forwardParams?: TfjsImageRecognitionBase.ITinyYolov2Options): Promise<WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>[]>;
 export declare function allFacesMtcnn(input: TNetInput, forwardParams?: IMtcnnOptions): Promise<WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>[]>;
 export declare const allFaces: typeof allFacesSsdMobilenetv1;

build/commonjs/globalApi/allFaces.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tslib_1 = require("tslib");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var MtcnnOptions_1 = require("../mtcnn/MtcnnOptions");
 var ssdMobilenetv1_1 = require("../ssdMobilenetv1");
 var detectFaces_1 = require("./detectFaces");
@@ -24,7 +24,7 @@ function allFacesTinyYolov2(input, forwardParams) {
     return tslib_1.__awaiter(this, void 0, void 0, function () {
         return tslib_1.__generator(this, function (_a) {
             switch (_a.label) {
-                case 0: return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new tfjs_tiny_yolov2_1.TinyYolov2Options(forwardParams))
+                case 0: return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2Options(forwardParams))
                         .withFaceLandmarks()
                         .withFaceDescriptors()];
                 case 1: return [2 /*return*/, _a.sent()];

build/commonjs/globalApi/allFaces.js.map

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+{"version":3,"file":"allFaces.js","sourceRoot":"","sources":["../../../src/globalApi/allFaces.ts"],"names":[],"mappings":";;;AAAA,2EAAkF;AAGlF,sDAAoE;AACpE,oDAA0D;AAC1D,6CAA+C;AAE/C,iDAAiD;AAEjD,SAAsB,sBAAsB,CAC1C,KAAgB,EAChB,aAAsB;;;;wBAEf,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,sCAAqB,CAAC,aAAa,CAAC,CAAC,CAAC,EAAE,aAAa,eAAA,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC;yBAClG,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,wDAOC;AAED,SAAsB,kBAAkB,CACtC,KAAgB,EAChB,aAA+D;IAA/D,8BAAA,EAAA,kBAA+D;;;;wBAExD,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,sDAAwB,CAAC,iBAAiB,CAAC,aAAa,CAAC,CAAC;yBAC9F,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,gDAOC;AAED,SAAsB,aAAa,CACjC,KAAgB,EAChB,aAAiC;IAAjC,8BAAA,EAAA,kBAAiC;;;;wBAE1B,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,2BAAY,CAAC,aAAa,CAAC,CAAC;yBAChE,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,sCAOC;AAEY,QAAA,QAAQ,GAAG,sBAAsB,CAAA"}
\ No newline at end of file

build/commonjs/globalApi/detectFaces.js.map

-{"version":3,"file":"detectFaces.js","sourceRoot":"","sources":["../../../src/globalApi/detectFaces.ts"],"names":[],"mappings":";;AAEA,iFAAgF;AAChF,uDAA8E;AAG9E,0BACE,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,uCAAoB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AACjD,CAAC;AALD,4CAKC;AAED,wBACE,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,qCAAkB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAC/C,CAAC;AALD,wCAKC"}
+{"version":3,"file":"detectFaces.js","sourceRoot":"","sources":["../../../src/globalApi/detectFaces.ts"],"names":[],"mappings":";;AAEA,iFAAgF;AAChF,uDAA8E;AAG9E,SAAgB,gBAAgB,CAC9B,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,uCAAoB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AACjD,CAAC;AALD,4CAKC;AAED,SAAgB,cAAc,CAC5B,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,qCAAkB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAC/C,CAAC;AALD,wCAKC"}
\ No newline at end of file

build/commonjs/globalApi/nets.d.ts

-import { TNetInput } from 'tfjs-image-recognition-base';
-import { ITinyYolov2Options } from 'tfjs-tiny-yolov2';
+import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
 import { FaceDetection } from '../classes/FaceDetection';
 import { FaceLandmarks5 } from '../classes/FaceLandmarks5';
 import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
@@ -15,7 +14,7 @@ import { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';
 import { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';
 import { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';
 import { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';
-import { TinyYolov2 } from '../tinyYolov2/TinyYolov2';
+import { TinyYolov2 } from '../tinyYolov2';
 export declare const nets: {
     ssdMobilenetv1: SsdMobilenetv1;
     tinyFaceDetector: TinyFaceDetector;
@@ -49,7 +48,7 @@ export declare const tinyFaceDetector: (input: TNetInput, options: TinyFaceDetec
  * @param options (optional, default: see TinyYolov2Options constructor for default parameters).
  * @returns Bounding box of each face with score.
  */
-export declare const tinyYolov2: (input: TNetInput, options: ITinyYolov2Options) => Promise<FaceDetection[]>;
+export declare const tinyYolov2: (input: TNetInput, options: TfjsImageRecognitionBase.ITinyYolov2Options) => Promise<FaceDetection[]>;
 /**
  * Attempts to detect all faces in an image and the 5 point face landmarks
  * of each detected face using the MTCNN Network.

build/commonjs/globalApi/nets.js

@@ -7,11 +7,11 @@ var FaceRecognitionNet_1 = require("../faceRecognitionNet/FaceRecognitionNet");
 var Mtcnn_1 = require("../mtcnn/Mtcnn");
 var SsdMobilenetv1_1 = require("../ssdMobilenetv1/SsdMobilenetv1");
 var TinyFaceDetector_1 = require("../tinyFaceDetector/TinyFaceDetector");
-var TinyYolov2_1 = require("../tinyYolov2/TinyYolov2");
+var tinyYolov2_1 = require("../tinyYolov2");
 exports.nets = {
     ssdMobilenetv1: new SsdMobilenetv1_1.SsdMobilenetv1(),
     tinyFaceDetector: new TinyFaceDetector_1.TinyFaceDetector(),
-    tinyYolov2: new TinyYolov2_1.TinyYolov2(),
+    tinyYolov2: new tinyYolov2_1.TinyYolov2(),
     mtcnn: new Mtcnn_1.Mtcnn(),
     faceLandmark68Net: new FaceLandmark68Net_1.FaceLandmark68Net(),
     faceLandmark68TinyNet: new FaceLandmark68TinyNet_1.FaceLandmark68TinyNet(),

build/commonjs/globalApi/nets.js.map

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\ No newline at end of file

build/commonjs/globalApi/types.d.ts

-import { TNetInput } from 'tfjs-image-recognition-base';
-import { TinyYolov2Options } from 'tfjs-tiny-yolov2';
+import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
 import { FaceDetection } from '../classes/FaceDetection';
 import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
 import { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';
 import { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';
-export declare type FaceDetectionOptions = TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options;
+export declare type FaceDetectionOptions = TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TfjsImageRecognitionBase.TinyYolov2Options;
 export declare type FaceDetectionFunction = (input: TNetInput) => Promise<FaceDetection[]>;

build/commonjs/mtcnn/Mtcnn.d.ts

@@ -16,16 +16,10 @@ export declare class Mtcnn extends NeuralNetwork<NetParams> {
     protected getDefaultModelName(): string;
     protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
     protected extractParams(weights: Float32Array): {
         params: NetParams;
-        paramMappings: {
-            originalPath?: string | undefined;
-            paramPath: string;
-        }[];
+        paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
     };
 }

build/commonjs/mtcnn/MtcnnOptions.d.ts

@@ -12,7 +12,7 @@ export declare class MtcnnOptions {
     private _maxNumScales;
     private _scoreThresholds;
     private _scaleSteps;
-    constructor({minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps}?: IMtcnnOptions);
+    constructor({ minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps }?: IMtcnnOptions);
     readonly minFaceSize: number;
     readonly scaleFactor: number;
     readonly maxNumScales: number;

build/commonjs/mtcnn/ONet.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tf = require("@tensorflow/tfjs-core");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var fullyConnectedLayer_1 = require("../common/fullyConnectedLayer");
 var prelu_1 = require("./prelu");
 var sharedLayers_1 = require("./sharedLayers");
@@ -9,7 +9,7 @@ function ONet(x, params) {
     return tf.tidy(function () {
         var out = sharedLayers_1.sharedLayer(x, params);
         out = tf.maxPool(out, [2, 2], [2, 2], 'same');
-        out = tfjs_tiny_yolov2_1.convLayer(out, params.conv4, 'valid');
+        out = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4, 'valid');
         out = prelu_1.prelu(out, params.prelu4_alpha);
         var vectorized = tf.reshape(out, [out.shape[0], params.fc1.weights.shape[0]]);
         var fc1 = fullyConnectedLayer_1.fullyConnectedLayer(vectorized, params.fc1);

build/commonjs/mtcnn/ONet.js.map

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\ No newline at end of file

build/commonjs/mtcnn/PNet.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 var tf = require("@tensorflow/tfjs-core");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
+var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 var sharedLayers_1 = require("./sharedLayers");
 function PNet(x, params) {
     return tf.tidy(function () {
         var out = sharedLayers_1.sharedLayer(x, params, true);
-        var conv = tfjs_tiny_yolov2_1.convLayer(out, params.conv4_1, 'valid');
+        var conv = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4_1, 'valid');
         var max = tf.expandDims(tf.max(conv, 3), 3);
         var prob = tf.softmax(tf.sub(conv, max), 3);
-        var regions = tfjs_tiny_yolov2_1.convLayer(out, params.conv4_2, 'valid');
+        var regions = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4_2, 'valid');
         return { prob: prob, regions: regions };
     });
 }

build/commonjs/mtcnn/PNet.js.map

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+{"version":3,"file":"PNet.js","sourceRoot":"","sources":["../../../src/mtcnn/PNet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAEvE,+CAA6C;AAG7C,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,EAAE,IAAI,CAAC,CAAA;QACtC,IAAM,IAAI,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;QAC7E,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAC7C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC5D,IAAM,OAAO,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;QAEhF,OAAO,EAAE,IAAI,MAAA,EAAE,OAAO,SAAA,EAAE,CAAA;IAC1B,CAAC,CAAC,CAAA;AACJ,CAAC;AAXD,oBAWC"}
\ No newline at end of file

build/commonjs/mtcnn/RNet.js.map

-{"version":3,"file":"RNet.js","sourceRoot":"","sources":["../../../src/mtcnn/RNet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,qEAAoE;AACpE,iCAAgC;AAChC,+CAA6C;AAG7C,cAAqB,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,OAAO,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QACtC,IAAM,UAAU,GAAG,EAAE,CAAC,OAAO,CAAC,OAAO,EAAE,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACtG,IAAM,GAAG,GAAG,yCAAmB,CAAC,UAAU,EAAE,MAAM,CAAC,GAAG,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QACvD,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAC9C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC7D,IAAM,OAAO,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QAEzD,IAAM,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,IAAI,EAAE,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACpD,OAAO,EAAE,MAAM,QAAA,EAAE,OAAO,SAAA,EAAE,CAAA;IAC5B,CAAC,CAAC,CAAA;AACJ,CAAC;AAfD,oBAeC"}
+{"version":3,"file":"RNet.js","sourceRoot":"","sources":["../../../src/mtcnn/RNet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,qEAAoE;AACpE,iCAAgC;AAChC,+CAA6C;AAG7C,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,OAAO,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QACtC,IAAM,UAAU,GAAG,EAAE,CAAC,OAAO,CAAC,OAAO,EAAE,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACtG,IAAM,GAAG,GAAG,yCAAmB,CAAC,UAAU,EAAE,MAAM,CAAC,GAAG,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QACvD,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAC9C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC7D,IAAM,OAAO,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QAEzD,IAAM,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,IAAI,EAAE,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACpD,OAAO,EAAE,MAAM,QAAA,EAAE,OAAO,SAAA,EAAE,CAAA;IAC5B,CAAC,CAAC,CAAA;AACJ,CAAC;AAfD,oBAeC"}
\ No newline at end of file

build/commonjs/mtcnn/bgrToRgbTensor.js.map

-{"version":3,"file":"bgrToRgbTensor.js","sourceRoot":"","sources":["../../../src/mtcnn/bgrToRgbTensor.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,wBAA+B,MAAmB;IAChD,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO,EAAE,EAAE,CAAC,CAAC,EAA5C,CAA4C,CACpC,CAAA;AAClB,CAAC;AAJD,wCAIC"}
+{"version":3,"file":"bgrToRgbTensor.js","sourceRoot":"","sources":["../../../src/mtcnn/bgrToRgbTensor.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,SAAgB,cAAc,CAAC,MAAmB;IAChD,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO,EAAE,EAAE,CAAC,CAAC,EAA5C,CAA4C,CACpC,CAAA;AAClB,CAAC;AAJD,wCAIC"}
\ No newline at end of file

build/commonjs/mtcnn/extractImagePatches.d.ts

 import * as tf from '@tensorflow/tfjs-core';
 import { Box, IDimensions } from 'tfjs-image-recognition-base';
-export declare function extractImagePatches(img: HTMLCanvasElement, boxes: Box[], {width, height}: IDimensions): Promise<tf.Tensor4D[]>;
+export declare function extractImagePatches(img: HTMLCanvasElement, boxes: Box[], { width, height }: IDimensions): Promise<tf.Tensor4D[]>;

build/commonjs/mtcnn/extractImagePatches.js

@@ -7,8 +7,8 @@ var normalize_1 = require("./normalize");
 function extractImagePatches(img, boxes, _a) {
     var width = _a.width, height = _a.height;
     return tslib_1.__awaiter(this, void 0, void 0, function () {
-        var _this = this;
         var imgCtx, bitmaps, imagePatchesDatas;
+        var _this = this;
         return tslib_1.__generator(this, function (_b) {
             switch (_b.label) {
                 case 0:

build/commonjs/mtcnn/extractImagePatches.js.map

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+{"version":3,"file":"extractImagePatches.js","sourceRoot":"","sources":["../../../src/mtcnn/extractImagePatches.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAOqC;AAErC,yCAAwC;AAExC,SAAsB,mBAAmB,CACvC,GAAsB,EACtB,KAAY,EACZ,EAA8B;QAA5B,gBAAK,EAAE,kBAAM;;;;;;;oBAIT,MAAM,GAAG,iDAAmB,CAAC,GAAG,CAAC,CAAA;oBAEvB,qBAAM,OAAO,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,UAAM,GAAG;;;gCAE7C,KAAmB,GAAG,CAAC,YAAY,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAxD,CAAC,OAAA,EAAE,EAAE,QAAA,EAAE,CAAC,OAAA,EAAE,EAAE,QAAA,CAA4C;gCAE1D,KAAK,GAAG,CAAC,GAAG,CAAC,CAAA;gCACb,KAAK,GAAG,CAAC,GAAG,CAAC,CAAA;gCACb,OAAO,GAAG,MAAM,CAAC,YAAY,CAAC,KAAK,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,KAAK,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,CAAC,CAAC,CAAA;gCAE7E,sBAAO,iCAAG,CAAC,QAAQ,EAAE,CAAC,CAAC,CAAC,mDAAqB,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,CAAC,EAAA;;6BACpF,CAAC,CAAC,EAAA;;oBATG,OAAO,GAAG,SASb;oBAEG,iBAAiB,GAAe,EAAE,CAAA;oBAExC,OAAO,CAAC,OAAO,CAAC,UAAA,GAAG;wBACjB,IAAM,KAAK,GAAG,0CAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;wBAC7C,IAAM,QAAQ,GAAG,iDAAmB,CAAC,KAAK,CAAC,CAAA;wBAC3C,QAAQ,CAAC,SAAS,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAA;wBACpC,IAAA,sDAAI,CAA+C;wBAE3D,IAAM,QAAQ,GAAG,EAAE,CAAA;wBACnB,cAAc;wBACd,KAAI,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,CAAC,IAAE,CAAC,EAAE;4BACpC,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;4BAC1B,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;4BAC1B,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAA;yBACvB;wBACD,iBAAiB,CAAC,IAAI,CAAC,QAAQ,CAAC,CAAA;oBAClC,CAAC,CAAC,CAAA;oBAGF,sBAAO,iBAAiB,CAAC,GAAG,CAAC,UAAA,IAAI;4BAC/B,IAAM,CAAC,GAAG,EAAE,CAAC,IAAI,CAAC;gCAChB,IAAM,gBAAgB,GAAG,EAAE,CAAC,SAAS,CACnC,EAAE,CAAC,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,EACxC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACb,CAAC,OAAO,EAAiB,CAAA;gCAE1B,OAAO,qBAAS,CAAC,gBAAgB,CAAC,CAAA;4BACpC,CAAC,CAAC,CAAA;4BACF,OAAO,CAAC,CAAA;wBACV,CAAC,CAAC,EAAA;;;;CACH;AAlDD,kDAkDC"}
\ No newline at end of file

build/commonjs/mtcnn/extractParams.d.ts

-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParams(weights: Float32Array): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/mtcnn/extractParams.js

@@ -3,10 +3,9 @@ Object.defineProperty(exports, "__esModule", { value: true });
 var tslib_1 = require("tslib");
 var tf = require("@tensorflow/tfjs-core");
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var tfjs_tiny_yolov2_1 = require("tfjs-tiny-yolov2");
 function extractorsFactory(extractWeights, paramMappings) {
-    var extractConvParams = tfjs_tiny_yolov2_1.extractConvParamsFactory(extractWeights, paramMappings);
-    var extractFCParams = tfjs_tiny_yolov2_1.extractFCParamsFactory(extractWeights, paramMappings);
+    var extractConvParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractConvParamsFactory(extractWeights, paramMappings);
+    var extractFCParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractFCParamsFactory(extractWeights, paramMappings);
     function extractPReluParams(size, paramPath) {
         var alpha = tf.tensor1d(extractWeights(size));
         paramMappings.push({ paramPath: paramPath });
@@ -54,7 +53,7 @@ function extractorsFactory(extractWeights, paramMappings) {
     };
 }
 function extractParams(weights) {
-    var _a = tfjs_image_recognition_base_1.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
+    var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
     var paramMappings = [];
     var _b = extractorsFactory(extractWeights, paramMappings), extractPNetParams = _b.extractPNetParams, extractRNetParams = _b.extractRNetParams, extractONetParams = _b.extractONetParams;
     var pnet = extractPNetParams();

build/commonjs/mtcnn/extractParams.js.map

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\ No newline at end of file

build/commonjs/mtcnn/extractParamsFromWeigthMap.d.ts

 import * as tf from '@tensorflow/tfjs-core';
-import { ParamMapping } from 'tfjs-image-recognition-base';
+import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
 import { NetParams } from './types';
 export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
     params: NetParams;
-    paramMappings: ParamMapping[];
+    paramMappings: TfjsImageRecognitionBase.ParamMapping[];
 };

build/commonjs/mtcnn/extractParamsFromWeigthMap.js

@@ -3,7 +3,7 @@ Object.defineProperty(exports, "__esModule", { value: true });
 var tslib_1 = require("tslib");
 var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
 function extractorsFactory(weightMap, paramMappings) {
-    var extractWeightEntry = tfjs_image_recognition_base_1.extractWeightEntryFactory(weightMap, paramMappings);
+    var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
     function extractConvParams(prefix) {
         var filters = extractWeightEntry(prefix + "/weights", 4, prefix + "/filters");
         var bias = extractWeightEntry(prefix + "/bias", 1);
@@ -63,7 +63,7 @@ function extractParamsFromWeigthMap(weightMap) {
     var pnet = extractPNetParams();
     var rnet = extractRNetParams();
     var onet = extractONetParams();
-    tfjs_image_recognition_base_1.disposeUnusedWeightTensors(weightMap, paramMappings);
+    tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
     return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
 }
 exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;

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