@tensorflow-models/coco-ssd - npm Package Compare versions

Comparing version 2.2.1 to 2.2.2

dist/coco-ssd.es2017.esm.min.js

 /**
  * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
+ * Copyright 2021 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,3 +17,3 @@ * you may not use this file except in compliance with the License.
  */
-!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@tensorflow/tfjs-converter"),require("@tensorflow/tfjs-core")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-converter","@tensorflow/tfjs-core"],a):a((e=e||self).cocoSsd=e.cocoSsd||{},e.tf,e.tf)}(this,(function(e,a,m){"use strict";const i={1:{name:"/m/01g317",id:1,displayName:"person"},2:{name:"/m/0199g",id:2,displayName:"bicycle"},3:{name:"/m/0k4j",id:3,displayName:"car"},4:{name:"/m/04_sv",id:4,displayName:"motorcycle"},5:{name:"/m/05czz6l",id:5,displayName:"airplane"},6:{name:"/m/01bjv",id:6,displayName:"bus"},7:{name:"/m/07jdr",id:7,displayName:"train"},8:{name:"/m/07r04",id:8,displayName:"truck"},9:{name:"/m/019jd",id:9,displayName:"boat"},10:{name:"/m/015qff",id:10,displayName:"traffic light"},11:{name:"/m/01pns0",id:11,displayName:"fire hydrant"},13:{name:"/m/02pv19",id:13,displayName:"stop sign"},14:{name:"/m/015qbp",id:14,displayName:"parking meter"},15:{name:"/m/0cvnqh",id:15,displayName:"bench"},16:{name:"/m/015p6",id:16,displayName:"bird"},17:{name:"/m/01yrx",id:17,displayName:"cat"},18:{name:"/m/0bt9lr",id:18,displayName:"dog"},19:{name:"/m/03k3r",id:19,displayName:"horse"},20:{name:"/m/07bgp",id:20,displayName:"sheep"},21:{name:"/m/01xq0k1",id:21,displayName:"cow"},22:{name:"/m/0bwd_0j",id:22,displayName:"elephant"},23:{name:"/m/01dws",id:23,displayName:"bear"},24:{name:"/m/0898b",id:24,displayName:"zebra"},25:{name:"/m/03bk1",id:25,displayName:"giraffe"},27:{name:"/m/01940j",id:27,displayName:"backpack"},28:{name:"/m/0hnnb",id:28,displayName:"umbrella"},31:{name:"/m/080hkjn",id:31,displayName:"handbag"},32:{name:"/m/01rkbr",id:32,displayName:"tie"},33:{name:"/m/01s55n",id:33,displayName:"suitcase"},34:{name:"/m/02wmf",id:34,displayName:"frisbee"},35:{name:"/m/071p9",id:35,displayName:"skis"},36:{name:"/m/06__v",id:36,displayName:"snowboard"},37:{name:"/m/018xm",id:37,displayName:"sports ball"},38:{name:"/m/02zt3",id:38,displayName:"kite"},39:{name:"/m/03g8mr",id:39,displayName:"baseball bat"},40:{name:"/m/03grzl",id:40,displayName:"baseball glove"},41:{name:"/m/06_fw",id:41,displayName:"skateboard"},42:{name:"/m/019w40",id:42,displayName:"surfboard"},43:{name:"/m/0dv9c",id:43,displayName:"tennis racket"},44:{name:"/m/04dr76w",id:44,displayName:"bottle"},46:{name:"/m/09tvcd",id:46,displayName:"wine glass"},47:{name:"/m/08gqpm",id:47,displayName:"cup"},48:{name:"/m/0dt3t",id:48,displayName:"fork"},49:{name:"/m/04ctx",id:49,displayName:"knife"},50:{name:"/m/0cmx8",id:50,displayName:"spoon"},51:{name:"/m/04kkgm",id:51,displayName:"bowl"},52:{name:"/m/09qck",id:52,displayName:"banana"},53:{name:"/m/014j1m",id:53,displayName:"apple"},54:{name:"/m/0l515",id:54,displayName:"sandwich"},55:{name:"/m/0cyhj_",id:55,displayName:"orange"},56:{name:"/m/0hkxq",id:56,displayName:"broccoli"},57:{name:"/m/0fj52s",id:57,displayName:"carrot"},58:{name:"/m/01b9xk",id:58,displayName:"hot dog"},59:{name:"/m/0663v",id:59,displayName:"pizza"},60:{name:"/m/0jy4k",id:60,displayName:"donut"},61:{name:"/m/0fszt",id:61,displayName:"cake"},62:{name:"/m/01mzpv",id:62,displayName:"chair"},63:{name:"/m/02crq1",id:63,displayName:"couch"},64:{name:"/m/03fp41",id:64,displayName:"potted plant"},65:{name:"/m/03ssj5",id:65,displayName:"bed"},67:{name:"/m/04bcr3",id:67,displayName:"dining table"},70:{name:"/m/09g1w",id:70,displayName:"toilet"},72:{name:"/m/07c52",id:72,displayName:"tv"},73:{name:"/m/01c648",id:73,displayName:"laptop"},74:{name:"/m/020lf",id:74,displayName:"mouse"},75:{name:"/m/0qjjc",id:75,displayName:"remote"},76:{name:"/m/01m2v",id:76,displayName:"keyboard"},77:{name:"/m/050k8",id:77,displayName:"cell phone"},78:{name:"/m/0fx9l",id:78,displayName:"microwave"},79:{name:"/m/029bxz",id:79,displayName:"oven"},80:{name:"/m/01k6s3",id:80,displayName:"toaster"},81:{name:"/m/0130jx",id:81,displayName:"sink"},82:{name:"/m/040b_t",id:82,displayName:"refrigerator"},84:{name:"/m/0bt_c3",id:84,displayName:"book"},85:{name:"/m/01x3z",id:85,displayName:"clock"},86:{name:"/m/02s195",id:86,displayName:"vase"},87:{name:"/m/01lsmm",id:87,displayName:"scissors"},88:{name:"/m/0kmg4",id:88,displayName:"teddy bear"},89:{name:"/m/03wvsk",id:89,displayName:"hair drier"},90:{name:"/m/012xff",id:90,displayName:"toothbrush"}};class d{constructor(e,a){this.modelPath=a||`https://storage.googleapis.com/tfjs-models/savedmodel/${this.getPrefix(e)}/model.json`}getPrefix(e){return"lite_mobilenet_v2"===e?"ssd"+e:"ssd_"+e}async load(){this.model=await a.loadGraphModel(this.modelPath);const e=m.zeros([1,300,300,3],"int32"),i=await this.model.executeAsync(e);await Promise.all(i.map(e=>e.data())),i.map(e=>e.dispose()),e.dispose()}async infer(e,a,i){const d=m.tidy(()=>(e instanceof m.Tensor||(e=m.browser.fromPixels(e)),e.expandDims(0))),s=d.shape[1],n=d.shape[2],l=await this.model.executeAsync(d),t=l[0].dataSync(),o=l[1].dataSync();d.dispose(),m.dispose(l);const[p,r]=this.calculateMaxScores(t,l[0].shape[1],l[0].shape[2]),c=m.getBackend();"webgl"===m.getBackend()&&m.setBackend("cpu");const y=m.tidy(()=>{const e=m.tensor2d(o,[l[1].shape[1],l[1].shape[3]]);return m.image.nonMaxSuppression(e,p,a,i,i)}),N=y.dataSync();return y.dispose(),c!==m.getBackend()&&m.setBackend(c),this.buildDetectedObjects(n,s,o,p,N,r)}buildDetectedObjects(e,a,m,d,s,n){const l=s.length,t=[];for(let o=0;o<l;o++){const l=[];for(let e=0;e<4;e++)l[e]=m[4*s[o]+e];const p=l[0]*a,r=l[1]*e,c=l[2]*a,y=l[3]*e;l[0]=r,l[1]=p,l[2]=y-r,l[3]=c-p,t.push({bbox:l,class:i[n[s[o]]+1].displayName,score:d[s[o]]})}return t}calculateMaxScores(e,a,m){const i=[],d=[];for(let s=0;s<a;s++){let a=Number.MIN_VALUE,n=-1;for(let i=0;i<m;i++)e[s*m+i]>a&&(a=e[s*m+i],n=i);i[s]=a,d[s]=n}return[i,d]}async detect(e,a=20,m=.5){return this.infer(e,a,m)}dispose(){null!=this.model&&this.model.dispose()}}e.ObjectDetection=d,e.load=async function(e={}){if(null==m)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");const a=e.base||"lite_mobilenet_v2",i=e.modelUrl;if(-1===["mobilenet_v1","mobilenet_v2","lite_mobilenet_v2"].indexOf(a))throw new Error("ObjectDetection constructed with invalid base model "+a+". Valid names are 'mobilenet_v1', 'mobilenet_v2' and 'lite_mobilenet_v2'.");const s=new d(a,i);return await s.load(),s},e.version="2.2.1",Object.defineProperty(e,"__esModule",{value:!0})}));
+!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@tensorflow/tfjs-converter"),require("@tensorflow/tfjs-core")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-converter","@tensorflow/tfjs-core"],a):a((e=e||self).cocoSsd=e.cocoSsd||{},e.tf,e.tf)}(this,(function(e,a,m){"use strict";const i={1:{name:"/m/01g317",id:1,displayName:"person"},2:{name:"/m/0199g",id:2,displayName:"bicycle"},3:{name:"/m/0k4j",id:3,displayName:"car"},4:{name:"/m/04_sv",id:4,displayName:"motorcycle"},5:{name:"/m/05czz6l",id:5,displayName:"airplane"},6:{name:"/m/01bjv",id:6,displayName:"bus"},7:{name:"/m/07jdr",id:7,displayName:"train"},8:{name:"/m/07r04",id:8,displayName:"truck"},9:{name:"/m/019jd",id:9,displayName:"boat"},10:{name:"/m/015qff",id:10,displayName:"traffic light"},11:{name:"/m/01pns0",id:11,displayName:"fire hydrant"},13:{name:"/m/02pv19",id:13,displayName:"stop sign"},14:{name:"/m/015qbp",id:14,displayName:"parking meter"},15:{name:"/m/0cvnqh",id:15,displayName:"bench"},16:{name:"/m/015p6",id:16,displayName:"bird"},17:{name:"/m/01yrx",id:17,displayName:"cat"},18:{name:"/m/0bt9lr",id:18,displayName:"dog"},19:{name:"/m/03k3r",id:19,displayName:"horse"},20:{name:"/m/07bgp",id:20,displayName:"sheep"},21:{name:"/m/01xq0k1",id:21,displayName:"cow"},22:{name:"/m/0bwd_0j",id:22,displayName:"elephant"},23:{name:"/m/01dws",id:23,displayName:"bear"},24:{name:"/m/0898b",id:24,displayName:"zebra"},25:{name:"/m/03bk1",id:25,displayName:"giraffe"},27:{name:"/m/01940j",id:27,displayName:"backpack"},28:{name:"/m/0hnnb",id:28,displayName:"umbrella"},31:{name:"/m/080hkjn",id:31,displayName:"handbag"},32:{name:"/m/01rkbr",id:32,displayName:"tie"},33:{name:"/m/01s55n",id:33,displayName:"suitcase"},34:{name:"/m/02wmf",id:34,displayName:"frisbee"},35:{name:"/m/071p9",id:35,displayName:"skis"},36:{name:"/m/06__v",id:36,displayName:"snowboard"},37:{name:"/m/018xm",id:37,displayName:"sports ball"},38:{name:"/m/02zt3",id:38,displayName:"kite"},39:{name:"/m/03g8mr",id:39,displayName:"baseball bat"},40:{name:"/m/03grzl",id:40,displayName:"baseball glove"},41:{name:"/m/06_fw",id:41,displayName:"skateboard"},42:{name:"/m/019w40",id:42,displayName:"surfboard"},43:{name:"/m/0dv9c",id:43,displayName:"tennis racket"},44:{name:"/m/04dr76w",id:44,displayName:"bottle"},46:{name:"/m/09tvcd",id:46,displayName:"wine glass"},47:{name:"/m/08gqpm",id:47,displayName:"cup"},48:{name:"/m/0dt3t",id:48,displayName:"fork"},49:{name:"/m/04ctx",id:49,displayName:"knife"},50:{name:"/m/0cmx8",id:50,displayName:"spoon"},51:{name:"/m/04kkgm",id:51,displayName:"bowl"},52:{name:"/m/09qck",id:52,displayName:"banana"},53:{name:"/m/014j1m",id:53,displayName:"apple"},54:{name:"/m/0l515",id:54,displayName:"sandwich"},55:{name:"/m/0cyhj_",id:55,displayName:"orange"},56:{name:"/m/0hkxq",id:56,displayName:"broccoli"},57:{name:"/m/0fj52s",id:57,displayName:"carrot"},58:{name:"/m/01b9xk",id:58,displayName:"hot dog"},59:{name:"/m/0663v",id:59,displayName:"pizza"},60:{name:"/m/0jy4k",id:60,displayName:"donut"},61:{name:"/m/0fszt",id:61,displayName:"cake"},62:{name:"/m/01mzpv",id:62,displayName:"chair"},63:{name:"/m/02crq1",id:63,displayName:"couch"},64:{name:"/m/03fp41",id:64,displayName:"potted plant"},65:{name:"/m/03ssj5",id:65,displayName:"bed"},67:{name:"/m/04bcr3",id:67,displayName:"dining table"},70:{name:"/m/09g1w",id:70,displayName:"toilet"},72:{name:"/m/07c52",id:72,displayName:"tv"},73:{name:"/m/01c648",id:73,displayName:"laptop"},74:{name:"/m/020lf",id:74,displayName:"mouse"},75:{name:"/m/0qjjc",id:75,displayName:"remote"},76:{name:"/m/01m2v",id:76,displayName:"keyboard"},77:{name:"/m/050k8",id:77,displayName:"cell phone"},78:{name:"/m/0fx9l",id:78,displayName:"microwave"},79:{name:"/m/029bxz",id:79,displayName:"oven"},80:{name:"/m/01k6s3",id:80,displayName:"toaster"},81:{name:"/m/0130jx",id:81,displayName:"sink"},82:{name:"/m/040b_t",id:82,displayName:"refrigerator"},84:{name:"/m/0bt_c3",id:84,displayName:"book"},85:{name:"/m/01x3z",id:85,displayName:"clock"},86:{name:"/m/02s195",id:86,displayName:"vase"},87:{name:"/m/01lsmm",id:87,displayName:"scissors"},88:{name:"/m/0kmg4",id:88,displayName:"teddy bear"},89:{name:"/m/03wvsk",id:89,displayName:"hair drier"},90:{name:"/m/012xff",id:90,displayName:"toothbrush"}};class d{constructor(e,a){this.modelPath=a||`https://storage.googleapis.com/tfjs-models/savedmodel/${this.getPrefix(e)}/model.json`}getPrefix(e){return"lite_mobilenet_v2"===e?`ssd${e}`:`ssd_${e}`}async load(){this.model=await a.loadGraphModel(this.modelPath);const e=m.zeros([1,300,300,3],"int32"),i=await this.model.executeAsync(e);await Promise.all(i.map((e=>e.data()))),i.map((e=>e.dispose())),e.dispose()}async infer(e,a,i){const d=m.tidy((()=>(e instanceof m.Tensor||(e=m.browser.fromPixels(e)),m.expandDims(e)))),s=d.shape[1],n=d.shape[2],l=await this.model.executeAsync(d),t=l[0].dataSync(),o=l[1].dataSync();d.dispose(),m.dispose(l);const[p,r]=this.calculateMaxScores(t,l[0].shape[1],l[0].shape[2]),c=m.getBackend();"webgl"===m.getBackend()&&m.setBackend("cpu");const y=m.tidy((()=>{const e=m.tensor2d(o,[l[1].shape[1],l[1].shape[3]]);return m.image.nonMaxSuppression(e,p,a,i,i)})),N=y.dataSync();return y.dispose(),c!==m.getBackend()&&m.setBackend(c),this.buildDetectedObjects(n,s,o,p,N,r)}buildDetectedObjects(e,a,m,d,s,n){const l=s.length,t=[];for(let o=0;o<l;o++){const l=[];for(let e=0;e<4;e++)l[e]=m[4*s[o]+e];const p=l[0]*a,r=l[1]*e,c=l[2]*a,y=l[3]*e;l[0]=r,l[1]=p,l[2]=y-r,l[3]=c-p,t.push({bbox:l,class:i[n[s[o]]+1].displayName,score:d[s[o]]})}return t}calculateMaxScores(e,a,m){const i=[],d=[];for(let s=0;s<a;s++){let a=Number.MIN_VALUE,n=-1;for(let i=0;i<m;i++)e[s*m+i]>a&&(a=e[s*m+i],n=i);i[s]=a,d[s]=n}return[i,d]}async detect(e,a=20,m=.5){return this.infer(e,a,m)}dispose(){null!=this.model&&this.model.dispose()}}e.ObjectDetection=d,e.load=async function(e={}){if(null==m)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");const a=e.base||"lite_mobilenet_v2",i=e.modelUrl;if(-1===["mobilenet_v1","mobilenet_v2","lite_mobilenet_v2"].indexOf(a))throw new Error(`ObjectDetection constructed with invalid base model ${a}. Valid names are 'mobilenet_v1', 'mobilenet_v2' and 'lite_mobilenet_v2'.`);const s=new d(a,i);return await s.load(),s},e.version="2.2.2",Object.defineProperty(e,"__esModule",{value:!0})}));
 //# sourceMappingURL=coco-ssd.es2017.esm.min.js.map

dist/coco-ssd.js

 /**
  * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
+ * Copyright 2021 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,21 +24,22 @@ * you may not use this file except in compliance with the License.
     /*! *****************************************************************************
-    Copyright (c) Microsoft Corporation. All rights reserved.
-    Licensed under the Apache License, Version 2.0 (the "License"); you may not use
-    this file except in compliance with the License. You may obtain a copy of the
-    License at http://www.apache.org/licenses/LICENSE-2.0
+    Copyright (c) Microsoft Corporation.
 
-    THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-    KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
-    WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
-    MERCHANTABLITY OR NON-INFRINGEMENT.
+    Permission to use, copy, modify, and/or distribute this software for any
+    purpose with or without fee is hereby granted.
 
-    See the Apache Version 2.0 License for specific language governing permissions
-    and limitations under the License.
+    THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+    REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+    AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+    INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+    LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+    OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+    PERFORMANCE OF THIS SOFTWARE.
     ***************************************************************************** */
 
     function __awaiter(thisArg, _arguments, P, generator) {
+        function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
         return new (P || (P = Promise))(function (resolve, reject) {
             function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
             function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-            function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
+            function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
             step((generator = generator.apply(thisArg, _arguments || [])).next());
@@ -497,3 +498,3 @@ });
     // This code is auto-generated, do not modify this file!
-    var version = '2.2.1';
+    var version = '2.2.2';
 
@@ -599,3 +600,3 @@ /**
                                 // Reshape to a single-element batch so we can pass it to executeAsync.
-                                return img.expandDims(0);
+                                return tf.expandDims(img);
                             });
@@ -602,0 +603,0 @@ height = batched.shape[1];

dist/coco-ssd.min.js

 /**
  * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
+ * Copyright 2021 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,3 +17,3 @@ * you may not use this file except in compliance with the License.
  */
-!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@tensorflow/tfjs-converter"),require("@tensorflow/tfjs-core")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-converter","@tensorflow/tfjs-core"],a):a((e=e||self).cocoSsd=e.cocoSsd||{},e.tf,e.tf)}(this,(function(e,a,i){"use strict";function n(e,a,i,n){return new(i||(i=Promise))((function(m,t){function d(e){try{o(n.next(e))}catch(e){t(e)}}function s(e){try{o(n.throw(e))}catch(e){t(e)}}function o(e){e.done?m(e.value):new i((function(a){a(e.value)})).then(d,s)}o((n=n.apply(e,a||[])).next())}))}function m(e,a){var i,n,m,t,d={label:0,sent:function(){if(1&m[0])throw m[1];return m[1]},trys:[],ops:[]};return t={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(t[Symbol.iterator]=function(){return this}),t;function s(t){return function(s){return function(t){if(i)throw new TypeError("Generator is already executing.");for(;d;)try{if(i=1,n&&(m=2&t[0]?n.return:t[0]?n.throw||((m=n.return)&&m.call(n),0):n.next)&&!(m=m.call(n,t[1])).done)return m;switch(n=0,m&&(t=[2&t[0],m.value]),t[0]){case 0:case 1:m=t;break;case 4:return d.label++,{value:t[1],done:!1};case 5:d.label++,n=t[1],t=[0];continue;case 7:t=d.ops.pop(),d.trys.pop();continue;default:if(!(m=d.trys,(m=m.length>0&&m[m.length-1])||6!==t[0]&&2!==t[0])){d=0;continue}if(3===t[0]&&(!m||t[1]>m[0]&&t[1]<m[3])){d.label=t[1];break}if(6===t[0]&&d.label<m[1]){d.label=m[1],m=t;break}if(m&&d.label<m[2]){d.label=m[2],d.ops.push(t);break}m[2]&&d.ops.pop(),d.trys.pop();continue}t=a.call(e,d)}catch(e){t=[6,e],n=0}finally{i=m=0}if(5&t[0])throw t[1];return{value:t[0]?t[1]:void 0,done:!0}}([t,s])}}}var t={1:{name:"/m/01g317",id:1,displayName:"person"},2:{name:"/m/0199g",id:2,displayName:"bicycle"},3:{name:"/m/0k4j",id:3,displayName:"car"},4:{name:"/m/04_sv",id:4,displayName:"motorcycle"},5:{name:"/m/05czz6l",id:5,displayName:"airplane"},6:{name:"/m/01bjv",id:6,displayName:"bus"},7:{name:"/m/07jdr",id:7,displayName:"train"},8:{name:"/m/07r04",id:8,displayName:"truck"},9:{name:"/m/019jd",id:9,displayName:"boat"},10:{name:"/m/015qff",id:10,displayName:"traffic light"},11:{name:"/m/01pns0",id:11,displayName:"fire hydrant"},13:{name:"/m/02pv19",id:13,displayName:"stop sign"},14:{name:"/m/015qbp",id:14,displayName:"parking 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ball"},38:{name:"/m/02zt3",id:38,displayName:"kite"},39:{name:"/m/03g8mr",id:39,displayName:"baseball bat"},40:{name:"/m/03grzl",id:40,displayName:"baseball glove"},41:{name:"/m/06_fw",id:41,displayName:"skateboard"},42:{name:"/m/019w40",id:42,displayName:"surfboard"},43:{name:"/m/0dv9c",id:43,displayName:"tennis racket"},44:{name:"/m/04dr76w",id:44,displayName:"bottle"},46:{name:"/m/09tvcd",id:46,displayName:"wine glass"},47:{name:"/m/08gqpm",id:47,displayName:"cup"},48:{name:"/m/0dt3t",id:48,displayName:"fork"},49:{name:"/m/04ctx",id:49,displayName:"knife"},50:{name:"/m/0cmx8",id:50,displayName:"spoon"},51:{name:"/m/04kkgm",id:51,displayName:"bowl"},52:{name:"/m/09qck",id:52,displayName:"banana"},53:{name:"/m/014j1m",id:53,displayName:"apple"},54:{name:"/m/0l515",id:54,displayName:"sandwich"},55:{name:"/m/0cyhj_",id:55,displayName:"orange"},56:{name:"/m/0hkxq",id:56,displayName:"broccoli"},57:{name:"/m/0fj52s",id:57,displayName:"carrot"},58:{name:"/m/01b9xk",id:58,displayName:"hot 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phone"},78:{name:"/m/0fx9l",id:78,displayName:"microwave"},79:{name:"/m/029bxz",id:79,displayName:"oven"},80:{name:"/m/01k6s3",id:80,displayName:"toaster"},81:{name:"/m/0130jx",id:81,displayName:"sink"},82:{name:"/m/040b_t",id:82,displayName:"refrigerator"},84:{name:"/m/0bt_c3",id:84,displayName:"book"},85:{name:"/m/01x3z",id:85,displayName:"clock"},86:{name:"/m/02s195",id:86,displayName:"vase"},87:{name:"/m/01lsmm",id:87,displayName:"scissors"},88:{name:"/m/0kmg4",id:88,displayName:"teddy bear"},89:{name:"/m/03wvsk",id:89,displayName:"hair drier"},90:{name:"/m/012xff",id:90,displayName:"toothbrush"}};var d=function(){function e(e,a){this.modelPath=a||"https://storage.googleapis.com/tfjs-models/savedmodel/"+this.getPrefix(e)+"/model.json"}return e.prototype.getPrefix=function(e){return"lite_mobilenet_v2"===e?"ssd"+e:"ssd_"+e},e.prototype.load=function(){return n(this,void 0,void 0,(function(){var e,n,t;return m(this,(function(m){switch(m.label){case 0:return e=this,[4,a.loadGraphModel(this.modelPath)];case 1:return e.model=m.sent(),n=i.zeros([1,300,300,3],"int32"),[4,this.model.executeAsync(n)];case 2:return t=m.sent(),[4,Promise.all(t.map((function(e){return e.data()})))];case 3:return m.sent(),t.map((function(e){return e.dispose()})),n.dispose(),[2]}}))}))},e.prototype.infer=function(e,a,t){return n(this,void 0,void 0,(function(){var n,d,s,o,r,l,p,c,y,u,f,b;return m(this,(function(m){switch(m.label){case 0:return n=i.tidy((function(){return e instanceof i.Tensor||(e=i.browser.fromPixels(e)),e.expandDims(0)})),d=n.shape[1],s=n.shape[2],[4,this.model.executeAsync(n)];case 1:return o=m.sent(),r=o[0].dataSync(),l=o[1].dataSync(),n.dispose(),i.dispose(o),p=this.calculateMaxScores(r,o[0].shape[1],o[0].shape[2]),c=p[0],y=p[1],u=i.getBackend(),"webgl"===i.getBackend()&&i.setBackend("cpu"),f=i.tidy((function(){var e=i.tensor2d(l,[o[1].shape[1],o[1].shape[3]]);return i.image.nonMaxSuppression(e,c,a,t,t)})),b=f.dataSync(),f.dispose(),u!==i.getBackend()&&i.setBackend(u),[2,this.buildDetectedObjects(s,d,l,c,b,y)]}}))}))},e.prototype.buildDetectedObjects=function(e,a,i,n,m,d){for(var s=m.length,o=[],r=0;r<s;r++){for(var l=[],p=0;p<4;p++)l[p]=i[4*m[r]+p];var c=l[0]*a,y=l[1]*e,u=l[2]*a,f=l[3]*e;l[0]=y,l[1]=c,l[2]=f-y,l[3]=u-c,o.push({bbox:l,class:t[d[m[r]]+1].displayName,score:n[m[r]]})}return o},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],m=[],t=0;t<a;t++){for(var d=Number.MIN_VALUE,s=-1,o=0;o<i;o++)e[t*i+o]>d&&(d=e[t*i+o],s=o);n[t]=d,m[t]=s}return[n,m]},e.prototype.detect=function(e,a,i){return void 0===a&&(a=20),void 0===i&&(i=.5),n(this,void 0,void 0,(function(){return m(this,(function(n){return[2,this.infer(e,a,i)]}))}))},e.prototype.dispose=function(){null!=this.model&&this.model.dispose()},e}();e.ObjectDetection=d,e.load=function(e){return void 0===e&&(e={}),n(this,void 0,void 0,(function(){var a,n,t;return m(this,(function(m){switch(m.label){case 0:if(null==i)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");if(a=e.base||"lite_mobilenet_v2",n=e.modelUrl,-1===["mobilenet_v1","mobilenet_v2","lite_mobilenet_v2"].indexOf(a))throw new Error("ObjectDetection constructed with invalid base model "+a+". Valid names are 'mobilenet_v1', 'mobilenet_v2' and 'lite_mobilenet_v2'.");return[4,(t=new d(a,n)).load()];case 1:return m.sent(),[2,t]}}))}))},e.version="2.2.1",Object.defineProperty(e,"__esModule",{value:!0})}));
+!function(e,a){"object"==typeof exports&&"undefined"!=typeof module?a(exports,require("@tensorflow/tfjs-converter"),require("@tensorflow/tfjs-core")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-converter","@tensorflow/tfjs-core"],a):a((e=e||self).cocoSsd=e.cocoSsd||{},e.tf,e.tf)}(this,(function(e,a,i){"use strict";function n(e,a,i,n){return new(i||(i=Promise))((function(m,t){function d(e){try{o(n.next(e))}catch(e){t(e)}}function s(e){try{o(n.throw(e))}catch(e){t(e)}}function o(e){var a;e.done?m(e.value):(a=e.value,a instanceof i?a:new i((function(e){e(a)}))).then(d,s)}o((n=n.apply(e,a||[])).next())}))}function m(e,a){var i,n,m,t,d={label:0,sent:function(){if(1&m[0])throw m[1];return m[1]},trys:[],ops:[]};return t={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(t[Symbol.iterator]=function(){return this}),t;function s(t){return function(s){return function(t){if(i)throw new TypeError("Generator is already executing.");for(;d;)try{if(i=1,n&&(m=2&t[0]?n.return:t[0]?n.throw||((m=n.return)&&m.call(n),0):n.next)&&!(m=m.call(n,t[1])).done)return m;switch(n=0,m&&(t=[2&t[0],m.value]),t[0]){case 0:case 1:m=t;break;case 4:return d.label++,{value:t[1],done:!1};case 5:d.label++,n=t[1],t=[0];continue;case 7:t=d.ops.pop(),d.trys.pop();continue;default:if(!(m=d.trys,(m=m.length>0&&m[m.length-1])||6!==t[0]&&2!==t[0])){d=0;continue}if(3===t[0]&&(!m||t[1]>m[0]&&t[1]<m[3])){d.label=t[1];break}if(6===t[0]&&d.label<m[1]){d.label=m[1],m=t;break}if(m&&d.label<m[2]){d.label=m[2],d.ops.push(t);break}m[2]&&d.ops.pop(),d.trys.pop();continue}t=a.call(e,d)}catch(e){t=[6,e],n=0}finally{i=m=0}if(5&t[0])throw t[1];return{value:t[0]?t[1]:void 0,done:!0}}([t,s])}}}var t={1:{name:"/m/01g317",id:1,displayName:"person"},2:{name:"/m/0199g",id:2,displayName:"bicycle"},3:{name:"/m/0k4j",id:3,displayName:"car"},4:{name:"/m/04_sv",id:4,displayName:"motorcycle"},5:{name:"/m/05czz6l",id:5,displayName:"airplane"},6:{name:"/m/01bjv",id:6,displayName:"bus"},7:{name:"/m/07jdr",id:7,displayName:"train"},8:{name:"/m/07r04",id:8,displayName:"truck"},9:{name:"/m/019jd",id:9,displayName:"boat"},10:{name:"/m/015qff",id:10,displayName:"traffic light"},11:{name:"/m/01pns0",id:11,displayName:"fire hydrant"},13:{name:"/m/02pv19",id:13,displayName:"stop sign"},14:{name:"/m/015qbp",id:14,displayName:"parking meter"},15:{name:"/m/0cvnqh",id:15,displayName:"bench"},16:{name:"/m/015p6",id:16,displayName:"bird"},17:{name:"/m/01yrx",id:17,displayName:"cat"},18:{name:"/m/0bt9lr",id:18,displayName:"dog"},19:{name:"/m/03k3r",id:19,displayName:"horse"},20:{name:"/m/07bgp",id:20,displayName:"sheep"},21:{name:"/m/01xq0k1",id:21,displayName:"cow"},22:{name:"/m/0bwd_0j",id:22,displayName:"elephant"},23:{name:"/m/01dws",id:23,displayName:"bear"},24:{name:"/m/0898b",id:24,displayName:"zebra"},25:{name:"/m/03bk1",id:25,displayName:"giraffe"},27:{name:"/m/01940j",id:27,displayName:"backpack"},28:{name:"/m/0hnnb",id:28,displayName:"umbrella"},31:{name:"/m/080hkjn",id:31,displayName:"handbag"},32:{name:"/m/01rkbr",id:32,displayName:"tie"},33:{name:"/m/01s55n",id:33,displayName:"suitcase"},34:{name:"/m/02wmf",id:34,displayName:"frisbee"},35:{name:"/m/071p9",id:35,displayName:"skis"},36:{name:"/m/06__v",id:36,displayName:"snowboard"},37:{name:"/m/018xm",id:37,displayName:"sports ball"},38:{name:"/m/02zt3",id:38,displayName:"kite"},39:{name:"/m/03g8mr",id:39,displayName:"baseball bat"},40:{name:"/m/03grzl",id:40,displayName:"baseball glove"},41:{name:"/m/06_fw",id:41,displayName:"skateboard"},42:{name:"/m/019w40",id:42,displayName:"surfboard"},43:{name:"/m/0dv9c",id:43,displayName:"tennis racket"},44:{name:"/m/04dr76w",id:44,displayName:"bottle"},46:{name:"/m/09tvcd",id:46,displayName:"wine glass"},47:{name:"/m/08gqpm",id:47,displayName:"cup"},48:{name:"/m/0dt3t",id:48,displayName:"fork"},49:{name:"/m/04ctx",id:49,displayName:"knife"},50:{name:"/m/0cmx8",id:50,displayName:"spoon"},51:{name:"/m/04kkgm",id:51,displayName:"bowl"},52:{name:"/m/09qck",id:52,displayName:"banana"},53:{name:"/m/014j1m",id:53,displayName:"apple"},54:{name:"/m/0l515",id:54,displayName:"sandwich"},55:{name:"/m/0cyhj_",id:55,displayName:"orange"},56:{name:"/m/0hkxq",id:56,displayName:"broccoli"},57:{name:"/m/0fj52s",id:57,displayName:"carrot"},58:{name:"/m/01b9xk",id:58,displayName:"hot dog"},59:{name:"/m/0663v",id:59,displayName:"pizza"},60:{name:"/m/0jy4k",id:60,displayName:"donut"},61:{name:"/m/0fszt",id:61,displayName:"cake"},62:{name:"/m/01mzpv",id:62,displayName:"chair"},63:{name:"/m/02crq1",id:63,displayName:"couch"},64:{name:"/m/03fp41",id:64,displayName:"potted plant"},65:{name:"/m/03ssj5",id:65,displayName:"bed"},67:{name:"/m/04bcr3",id:67,displayName:"dining table"},70:{name:"/m/09g1w",id:70,displayName:"toilet"},72:{name:"/m/07c52",id:72,displayName:"tv"},73:{name:"/m/01c648",id:73,displayName:"laptop"},74:{name:"/m/020lf",id:74,displayName:"mouse"},75:{name:"/m/0qjjc",id:75,displayName:"remote"},76:{name:"/m/01m2v",id:76,displayName:"keyboard"},77:{name:"/m/050k8",id:77,displayName:"cell phone"},78:{name:"/m/0fx9l",id:78,displayName:"microwave"},79:{name:"/m/029bxz",id:79,displayName:"oven"},80:{name:"/m/01k6s3",id:80,displayName:"toaster"},81:{name:"/m/0130jx",id:81,displayName:"sink"},82:{name:"/m/040b_t",id:82,displayName:"refrigerator"},84:{name:"/m/0bt_c3",id:84,displayName:"book"},85:{name:"/m/01x3z",id:85,displayName:"clock"},86:{name:"/m/02s195",id:86,displayName:"vase"},87:{name:"/m/01lsmm",id:87,displayName:"scissors"},88:{name:"/m/0kmg4",id:88,displayName:"teddy bear"},89:{name:"/m/03wvsk",id:89,displayName:"hair drier"},90:{name:"/m/012xff",id:90,displayName:"toothbrush"}};var d=function(){function e(e,a){this.modelPath=a||"https://storage.googleapis.com/tfjs-models/savedmodel/"+this.getPrefix(e)+"/model.json"}return e.prototype.getPrefix=function(e){return"lite_mobilenet_v2"===e?"ssd"+e:"ssd_"+e},e.prototype.load=function(){return n(this,void 0,void 0,(function(){var e,n,t;return m(this,(function(m){switch(m.label){case 0:return e=this,[4,a.loadGraphModel(this.modelPath)];case 1:return e.model=m.sent(),n=i.zeros([1,300,300,3],"int32"),[4,this.model.executeAsync(n)];case 2:return t=m.sent(),[4,Promise.all(t.map((function(e){return e.data()})))];case 3:return m.sent(),t.map((function(e){return e.dispose()})),n.dispose(),[2]}}))}))},e.prototype.infer=function(e,a,t){return n(this,void 0,void 0,(function(){var n,d,s,o,r,l,p,c,y,u,f,b;return m(this,(function(m){switch(m.label){case 0:return n=i.tidy((function(){return e instanceof i.Tensor||(e=i.browser.fromPixels(e)),i.expandDims(e)})),d=n.shape[1],s=n.shape[2],[4,this.model.executeAsync(n)];case 1:return o=m.sent(),r=o[0].dataSync(),l=o[1].dataSync(),n.dispose(),i.dispose(o),p=this.calculateMaxScores(r,o[0].shape[1],o[0].shape[2]),c=p[0],y=p[1],u=i.getBackend(),"webgl"===i.getBackend()&&i.setBackend("cpu"),f=i.tidy((function(){var e=i.tensor2d(l,[o[1].shape[1],o[1].shape[3]]);return i.image.nonMaxSuppression(e,c,a,t,t)})),b=f.dataSync(),f.dispose(),u!==i.getBackend()&&i.setBackend(u),[2,this.buildDetectedObjects(s,d,l,c,b,y)]}}))}))},e.prototype.buildDetectedObjects=function(e,a,i,n,m,d){for(var s=m.length,o=[],r=0;r<s;r++){for(var l=[],p=0;p<4;p++)l[p]=i[4*m[r]+p];var c=l[0]*a,y=l[1]*e,u=l[2]*a,f=l[3]*e;l[0]=y,l[1]=c,l[2]=f-y,l[3]=u-c,o.push({bbox:l,class:t[d[m[r]]+1].displayName,score:n[m[r]]})}return o},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],m=[],t=0;t<a;t++){for(var d=Number.MIN_VALUE,s=-1,o=0;o<i;o++)e[t*i+o]>d&&(d=e[t*i+o],s=o);n[t]=d,m[t]=s}return[n,m]},e.prototype.detect=function(e,a,i){return void 0===a&&(a=20),void 0===i&&(i=.5),n(this,void 0,void 0,(function(){return m(this,(function(n){return[2,this.infer(e,a,i)]}))}))},e.prototype.dispose=function(){null!=this.model&&this.model.dispose()},e}();e.ObjectDetection=d,e.load=function(e){return void 0===e&&(e={}),n(this,void 0,void 0,(function(){var a,n,t;return m(this,(function(m){switch(m.label){case 0:if(null==i)throw new Error("Cannot find TensorFlow.js. If you are using a <script> tag, please also include @tensorflow/tfjs on the page before using this model.");if(a=e.base||"lite_mobilenet_v2",n=e.modelUrl,-1===["mobilenet_v1","mobilenet_v2","lite_mobilenet_v2"].indexOf(a))throw new Error("ObjectDetection constructed with invalid base model "+a+". Valid names are 'mobilenet_v1', 'mobilenet_v2' and 'lite_mobilenet_v2'.");return[4,(t=new d(a,n)).load()];case 1:return m.sent(),[2,t]}}))}))},e.version="2.2.2",Object.defineProperty(e,"__esModule",{value:!0})}));
 //# sourceMappingURL=coco-ssd.min.js.map

dist/coco-ssd.node.js

 /**
  * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
+ * Copyright 2021 Google LLC. All Rights Reserved.
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -25,21 +25,22 @@ * you may not use this file except in compliance with the License.
 /*! *****************************************************************************
-Copyright (c) Microsoft Corporation. All rights reserved.
-Licensed under the Apache License, Version 2.0 (the "License"); you may not use
-this file except in compliance with the License. You may obtain a copy of the
-License at http://www.apache.org/licenses/LICENSE-2.0
+Copyright (c) Microsoft Corporation.
 
-THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
-WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
-MERCHANTABLITY OR NON-INFRINGEMENT.
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
 
-See the Apache Version 2.0 License for specific language governing permissions
-and limitations under the License.
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
 ***************************************************************************** */
 
 function __awaiter(thisArg, _arguments, P, generator) {
+    function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
     return new (P || (P = Promise))(function (resolve, reject) {
         function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
         function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
+        function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
         step((generator = generator.apply(thisArg, _arguments || [])).next());
@@ -498,3 +499,3 @@ });
 // This code is auto-generated, do not modify this file!
-var version = '2.2.1';
+var version = '2.2.2';
 
@@ -600,3 +601,3 @@ /**
                             // Reshape to a single-element batch so we can pass it to executeAsync.
-                            return img.expandDims(0);
+                            return tf.expandDims(img);
                         });
@@ -603,0 +604,0 @@ height = batched.shape[1];

dist/index.js

@@ -143,3 +143,3 @@ "use strict";
                             // Reshape to a single-element batch so we can pass it to executeAsync.
-                            return img.expandDims(0);
+                            return tf.expandDims(img);
                         });
@@ -146,0 +146,0 @@ height = batched.shape[1];

dist/ssd_test.js

@@ -57,2 +57,3 @@ "use strict";
 var tf = require("@tensorflow/tfjs-core");
+// tslint:disable-next-line: no-imports-from-dist
 var jasmine_util_1 = require("@tensorflow/tfjs-core/dist/jasmine_util");
@@ -59,0 +60,0 @@ var index_1 = require("./index");

dist/version.d.ts

 /** @license See the LICENSE file. */
-declare const version = "2.2.1";
+declare const version = "2.2.2";
 export { version };

dist/version.js

@@ -5,4 +5,4 @@ "use strict";
 // This code is auto-generated, do not modify this file!
-var version = '2.2.1';
+var version = '2.2.2';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow-models/coco-ssd",
-  "version": "2.2.1",
+  "version": "2.2.2",
   "description": "Object detection model (coco-ssd) in TensorFlow.js",
@@ -16,4 +16,4 @@ "main": "dist/coco-ssd.node.js",
   "peerDependencies": {
-    "@tensorflow/tfjs-converter": "^2.0.1",
-    "@tensorflow/tfjs-core": "^2.0.1"
+    "@tensorflow/tfjs-converter": "^3.3.0",
+    "@tensorflow/tfjs-core": "^3.3.0"
   },
@@ -24,5 +24,5 @@ "devDependencies": {
     "@rollup/plugin-typescript": "^3.0.0",
-    "@tensorflow/tfjs-backend-cpu": "^2.0.1",
-    "@tensorflow/tfjs-converter": "^2.0.1",
-    "@tensorflow/tfjs-core": "^2.0.1",
+    "@tensorflow/tfjs-backend-cpu": "^3.3.0",
+    "@tensorflow/tfjs-converter": "^3.3.0",
+    "@tensorflow/tfjs-core": "^3.3.0",
     "@types/jasmine": "~2.8.8",
@@ -32,4 +32,5 @@ "babel-core": "~6.26.0",
     "jasmine-core": "~3.5.0",
+    "rimraf": "~2.6.2",
     "rollup": "~2.3.2",
-    "rollup-plugin-terser": "~5.3.0",
+    "rollup-plugin-terser": "^7.0.2",
     "rollup-plugin-visualizer": "~3.3.2",
@@ -49,2 +50,2 @@ "ts-node": "~8.8.2",
   "license": "Apache-2.0"
-}
+}

New alerts

New author

Supply chain risk

A new npm collaborator published a version of the package for the first time. New collaborators are usually benign additions to a project, but do indicate a change to the security surface area of a package.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

207242

increased by0.13%

Lines of code

2670

increased by0.11%

Worsened metrics

Dev dependency count

18

increased by5.88%

Number of medium supply chain risk alerts

1

increased byInfinity%

No dependency changes