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

Comparing version 2.0.2 to 2.0.3

dist/coco-ssd.esm.js

@@ -17,2 +17,2 @@ /**
     */
-import{loadGraphModel}from"@tensorflow/tfjs-converter";import*as tf from"@tensorflow/tfjs-core";import{zeros,tidy,Tensor,browser,dispose,getBackend,setBackend,tensor2d,image}from"@tensorflow/tfjs-core";function __awaiter(e,a,i,n){return new(i||(i=Promise))(function(t,m){function r(e){try{s(n.next(e))}catch(e){m(e)}}function d(e){try{s(n.throw(e))}catch(e){m(e)}}function s(e){e.done?t(e.value):new i(function(a){a(e.value)}).then(r,d)}s((n=n.apply(e,a||[])).next())})}function __generator(e,a){var i,n,t,m,r={label:0,sent:function(){if(1&t[0])throw t[1];return t[1]},trys:[],ops:[]};return m={next:d(0),throw:d(1),return:d(2)},"function"==typeof Symbol&&(m[Symbol.iterator]=function(){return this}),m;function d(m){return function(d){return function(m){if(i)throw new TypeError("Generator is already executing.");for(;r;)try{if(i=1,n&&(t=2&m[0]?n.return:m[0]?n.throw||((t=n.return)&&t.call(n),0):n.next)&&!(t=t.call(n,m[1])).done)return t;switch(n=0,t&&(m=[2&m[0],t.value]),m[0]){case 0:case 1:t=m;break;case 4:return r.label++,{value:m[1],done:!1};case 5:r.label++,n=m[1],m=[0];continue;case 7:m=r.ops.pop(),r.trys.pop();continue;default:if(!(t=(t=r.trys).length>0&&t[t.length-1])&&(6===m[0]||2===m[0])){r=0;continue}if(3===m[0]&&(!t||m[1]>t[0]&&m[1]<t[3])){r.label=m[1];break}if(6===m[0]&&r.label<t[1]){r.label=t[1],t=m;break}if(t&&r.label<t[2]){r.label=t[2],r.ops.push(m);break}t[2]&&r.ops.pop(),r.trys.pop();continue}m=a.call(e,r)}catch(e){m=[6,e],n=0}finally{i=t=0}if(5&m[0])throw m[1];return{value:m[0]?m[1]:void 0,done:!0}}([m,d])}}}function __read(e,a){var i="function"==typeof Symbol&&e[Symbol.iterator];if(!i)return e;var n,t,m=i.call(e),r=[];try{for(;(void 0===a||a-- >0)&&!(n=m.next()).done;)r.push(n.value)}catch(e){t={error:e}}finally{try{n&&!n.done&&(i=m.return)&&i.call(m)}finally{if(t)throw t.error}}return r}var CLASSES={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"}},version="2.0.2",BASE_PATH="https://storage.googleapis.com/tfjs-models/savedmodel/";function load(e){return void 0===e&&(e={}),__awaiter(this,void 0,void 0,function(){var a,i,n;return __generator(this,function(t){switch(t.label){case 0:if(null==tf)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",i=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,(n=new ObjectDetection(a,i)).load()];case 1:return t.sent(),[2,n]}})})}var ObjectDetection=function(){function e(e,a){this.modelPath=a||""+BASE_PATH+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 __awaiter(this,void 0,void 0,function(){var e,a;return __generator(this,function(i){switch(i.label){case 0:return e=this,[4,loadGraphModel(this.modelPath)];case 1:return e.model=i.sent(),[4,this.model.executeAsync(zeros([1,300,300,3],"int32"))];case 2:return a=i.sent(),[4,Promise.all(a.map(function(e){return e.data()}))];case 3:return i.sent(),a.map(function(e){return e.dispose()}),[2]}})})},e.prototype.infer=function(e,a){return __awaiter(this,void 0,void 0,function(){var i,n,t,m,r,d,s,o,l,p,c,y;return __generator(this,function(u){switch(u.label){case 0:return i=tidy(function(){return e instanceof Tensor||(e=browser.fromPixels(e)),e.expandDims(0)}),n=i.shape[1],t=i.shape[2],[4,this.model.executeAsync(i)];case 1:return m=u.sent(),r=m[0].dataSync(),d=m[1].dataSync(),i.dispose(),dispose(m),s=__read(this.calculateMaxScores(r,m[0].shape[1],m[0].shape[2]),2),o=s[0],l=s[1],p=getBackend(),setBackend("cpu"),c=tidy(function(){var e=tensor2d(d,[m[1].shape[1],m[1].shape[3]]);return image.nonMaxSuppression(e,o,a,.5,.5)}),y=c.dataSync(),c.dispose(),setBackend(p),[2,this.buildDetectedObjects(t,n,d,o,y,l)]}})})},e.prototype.buildDetectedObjects=function(e,a,i,n,t,m){for(var r=t.length,d=[],s=0;s<r;s++){for(var o=[],l=0;l<4;l++)o[l]=i[4*t[s]+l];var p=o[0]*a,c=o[1]*e,y=o[2]*a,u=o[3]*e;o[0]=c,o[1]=p,o[2]=u-c,o[3]=y-p,d.push({bbox:o,class:CLASSES[m[t[s]]+1].displayName,score:n[t[s]]})}return d},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],t=[],m=0;m<a;m++){for(var r=Number.MIN_VALUE,d=-1,s=0;s<i;s++)e[m*i+s]>r&&(r=e[m*i+s],d=s);n[m]=r,t[m]=d}return[n,t]},e.prototype.detect=function(e,a){return void 0===a&&(a=20),__awaiter(this,void 0,void 0,function(){return __generator(this,function(i){return[2,this.infer(e,a)]})})},e.prototype.dispose=function(){this.model&&this.model.dispose()},e}();export{load,ObjectDetection,version};
+import{loadGraphModel}from"@tensorflow/tfjs-converter";import*as tf from"@tensorflow/tfjs-core";import{zeros,tidy,Tensor,browser,dispose,getBackend,setBackend,tensor2d,image}from"@tensorflow/tfjs-core";function __awaiter(e,a,i,n){return new(i||(i=Promise))(function(t,m){function r(e){try{s(n.next(e))}catch(e){m(e)}}function d(e){try{s(n.throw(e))}catch(e){m(e)}}function s(e){e.done?t(e.value):new i(function(a){a(e.value)}).then(r,d)}s((n=n.apply(e,a||[])).next())})}function __generator(e,a){var i,n,t,m,r={label:0,sent:function(){if(1&t[0])throw t[1];return t[1]},trys:[],ops:[]};return m={next:d(0),throw:d(1),return:d(2)},"function"==typeof Symbol&&(m[Symbol.iterator]=function(){return this}),m;function d(m){return function(d){return function(m){if(i)throw new TypeError("Generator is already executing.");for(;r;)try{if(i=1,n&&(t=2&m[0]?n.return:m[0]?n.throw||((t=n.return)&&t.call(n),0):n.next)&&!(t=t.call(n,m[1])).done)return t;switch(n=0,t&&(m=[2&m[0],t.value]),m[0]){case 0:case 1:t=m;break;case 4:return r.label++,{value:m[1],done:!1};case 5:r.label++,n=m[1],m=[0];continue;case 7:m=r.ops.pop(),r.trys.pop();continue;default:if(!(t=(t=r.trys).length>0&&t[t.length-1])&&(6===m[0]||2===m[0])){r=0;continue}if(3===m[0]&&(!t||m[1]>t[0]&&m[1]<t[3])){r.label=m[1];break}if(6===m[0]&&r.label<t[1]){r.label=t[1],t=m;break}if(t&&r.label<t[2]){r.label=t[2],r.ops.push(m);break}t[2]&&r.ops.pop(),r.trys.pop();continue}m=a.call(e,r)}catch(e){m=[6,e],n=0}finally{i=t=0}if(5&m[0])throw m[1];return{value:m[0]?m[1]:void 0,done:!0}}([m,d])}}}function __read(e,a){var i="function"==typeof Symbol&&e[Symbol.iterator];if(!i)return e;var n,t,m=i.call(e),r=[];try{for(;(void 0===a||a-- >0)&&!(n=m.next()).done;)r.push(n.value)}catch(e){t={error:e}}finally{try{n&&!n.done&&(i=m.return)&&i.call(m)}finally{if(t)throw t.error}}return r}var CLASSES={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"}},version="2.0.3",BASE_PATH="https://storage.googleapis.com/tfjs-models/savedmodel/";function load(e){return void 0===e&&(e={}),__awaiter(this,void 0,void 0,function(){var a,i,n;return __generator(this,function(t){switch(t.label){case 0:if(null==tf)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",i=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,(n=new ObjectDetection(a,i)).load()];case 1:return t.sent(),[2,n]}})})}var ObjectDetection=function(){function e(e,a){this.modelPath=a||""+BASE_PATH+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 __awaiter(this,void 0,void 0,function(){var e,a,i;return __generator(this,function(n){switch(n.label){case 0:return e=this,[4,loadGraphModel(this.modelPath)];case 1:return e.model=n.sent(),a=zeros([1,300,300,3],"int32"),[4,this.model.executeAsync(a)];case 2:return i=n.sent(),[4,Promise.all(i.map(function(e){return e.data()}))];case 3:return n.sent(),i.map(function(e){return e.dispose()}),a.dispose(),[2]}})})},e.prototype.infer=function(e,a){return __awaiter(this,void 0,void 0,function(){var i,n,t,m,r,d,s,o,l,p,c,y;return __generator(this,function(u){switch(u.label){case 0:return i=tidy(function(){return e instanceof Tensor||(e=browser.fromPixels(e)),e.expandDims(0)}),n=i.shape[1],t=i.shape[2],[4,this.model.executeAsync(i)];case 1:return m=u.sent(),r=m[0].dataSync(),d=m[1].dataSync(),i.dispose(),dispose(m),s=__read(this.calculateMaxScores(r,m[0].shape[1],m[0].shape[2]),2),o=s[0],l=s[1],p=getBackend(),setBackend("cpu"),c=tidy(function(){var e=tensor2d(d,[m[1].shape[1],m[1].shape[3]]);return image.nonMaxSuppression(e,o,a,.5,.5)}),y=c.dataSync(),c.dispose(),setBackend(p),[2,this.buildDetectedObjects(t,n,d,o,y,l)]}})})},e.prototype.buildDetectedObjects=function(e,a,i,n,t,m){for(var r=t.length,d=[],s=0;s<r;s++){for(var o=[],l=0;l<4;l++)o[l]=i[4*t[s]+l];var p=o[0]*a,c=o[1]*e,y=o[2]*a,u=o[3]*e;o[0]=c,o[1]=p,o[2]=u-c,o[3]=y-p,d.push({bbox:o,class:CLASSES[m[t[s]]+1].displayName,score:n[t[s]]})}return d},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],t=[],m=0;m<a;m++){for(var r=Number.MIN_VALUE,d=-1,s=0;s<i;s++)e[m*i+s]>r&&(r=e[m*i+s],d=s);n[m]=r,t[m]=d}return[n,t]},e.prototype.detect=function(e,a){return void 0===a&&(a=20),__awaiter(this,void 0,void 0,function(){return __generator(this,function(i){return[2,this.infer(e,a)]})})},e.prototype.dispose=function(){null!=this.model&&this.model.dispose()},e}();export{load,ObjectDetection,version};

dist/coco-ssd.js

@@ -495,3 +495,3 @@ /**
 
-    var version = '2.0.2';
+    var version = '2.0.3';
 
@@ -537,3 +537,3 @@ var BASE_PATH = 'https://storage.googleapis.com/tfjs-models/savedmodel/';
             return __awaiter(this, void 0, void 0, function () {
-                var _a, result;
+                var _a, zeroTensor, result;
                 return __generator(this, function (_b) {
@@ -546,3 +546,4 @@ switch (_b.label) {
                             _a.model = _b.sent();
-                            return [4, this.model.executeAsync(tf.zeros([1, 300, 300, 3], 'int32'))];
+                            zeroTensor = tf.zeros([1, 300, 300, 3], 'int32');
+                            return [4, this.model.executeAsync(zeroTensor)];
                         case 2:
@@ -554,2 +555,3 @@ result = _b.sent();
                             result.map(function (t) { return t.dispose(); });
+                            zeroTensor.dispose();
                             return [2];
@@ -646,3 +648,3 @@ }
         ObjectDetection.prototype.dispose = function () {
-            if (this.model) {
+            if (this.model != null) {
                 this.model.dispose();
@@ -649,0 +651,0 @@ }

dist/coco-ssd.min.js

@@ -17,2 +17,2 @@ /**
     */
-!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.cocoSsd={},e.tf,e.tf)}(this,function(e,a,i){"use strict";function n(e,a,i,n){return new(i||(i=Promise))(function(t,m){function d(e){try{r(n.next(e))}catch(e){m(e)}}function s(e){try{r(n.throw(e))}catch(e){m(e)}}function r(e){e.done?t(e.value):new i(function(a){a(e.value)}).then(d,s)}r((n=n.apply(e,a||[])).next())})}function t(e,a){var i,n,t,m,d={label:0,sent:function(){if(1&t[0])throw t[1];return t[1]},trys:[],ops:[]};return m={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(m[Symbol.iterator]=function(){return this}),m;function s(m){return function(s){return function(m){if(i)throw new TypeError("Generator is already executing.");for(;d;)try{if(i=1,n&&(t=2&m[0]?n.return:m[0]?n.throw||((t=n.return)&&t.call(n),0):n.next)&&!(t=t.call(n,m[1])).done)return t;switch(n=0,t&&(m=[2&m[0],t.value]),m[0]){case 0:case 1:t=m;break;case 4:return d.label++,{value:m[1],done:!1};case 5:d.label++,n=m[1],m=[0];continue;case 7:m=d.ops.pop(),d.trys.pop();continue;default:if(!(t=(t=d.trys).length>0&&t[t.length-1])&&(6===m[0]||2===m[0])){d=0;continue}if(3===m[0]&&(!t||m[1]>t[0]&&m[1]<t[3])){d.label=m[1];break}if(6===m[0]&&d.label<t[1]){d.label=t[1],t=m;break}if(t&&d.label<t[2]){d.label=t[2],d.ops.push(m);break}t[2]&&d.ops.pop(),d.trys.pop();continue}m=a.call(e,d)}catch(e){m=[6,e],n=0}finally{i=t=0}if(5&m[0])throw m[1];return{value:m[0]?m[1]:void 0,done:!0}}([m,s])}}}var m={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"}},d="https://storage.googleapis.com/tfjs-models/savedmodel/";var s=function(){function e(e,a){this.modelPath=a||""+d+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;return t(this,function(t){switch(t.label){case 0:return e=this,[4,a.loadGraphModel(this.modelPath)];case 1:return e.model=t.sent(),[4,this.model.executeAsync(i.zeros([1,300,300,3],"int32"))];case 2:return n=t.sent(),[4,Promise.all(n.map(function(e){return e.data()}))];case 3:return t.sent(),n.map(function(e){return e.dispose()}),[2]}})})},e.prototype.infer=function(e,a){return n(this,void 0,void 0,function(){var n,m,d,s,r,o,l,p,c,y,u,f;return t(this,function(t){switch(t.label){case 0:return n=i.tidy(function(){return e instanceof i.Tensor||(e=i.browser.fromPixels(e)),e.expandDims(0)}),m=n.shape[1],d=n.shape[2],[4,this.model.executeAsync(n)];case 1:return s=t.sent(),r=s[0].dataSync(),o=s[1].dataSync(),n.dispose(),i.dispose(s),l=function(e,a){var i="function"==typeof Symbol&&e[Symbol.iterator];if(!i)return e;var n,t,m=i.call(e),d=[];try{for(;(void 0===a||a-- >0)&&!(n=m.next()).done;)d.push(n.value)}catch(e){t={error:e}}finally{try{n&&!n.done&&(i=m.return)&&i.call(m)}finally{if(t)throw t.error}}return d}(this.calculateMaxScores(r,s[0].shape[1],s[0].shape[2]),2),p=l[0],c=l[1],y=i.getBackend(),i.setBackend("cpu"),u=i.tidy(function(){var e=i.tensor2d(o,[s[1].shape[1],s[1].shape[3]]);return i.image.nonMaxSuppression(e,p,a,.5,.5)}),f=u.dataSync(),u.dispose(),i.setBackend(y),[2,this.buildDetectedObjects(d,m,o,p,f,c)]}})})},e.prototype.buildDetectedObjects=function(e,a,i,n,t,d){for(var s=t.length,r=[],o=0;o<s;o++){for(var l=[],p=0;p<4;p++)l[p]=i[4*t[o]+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,r.push({bbox:l,class:m[d[t[o]]+1].displayName,score:n[t[o]]})}return r},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],t=[],m=0;m<a;m++){for(var d=Number.MIN_VALUE,s=-1,r=0;r<i;r++)e[m*i+r]>d&&(d=e[m*i+r],s=r);n[m]=d,t[m]=s}return[n,t]},e.prototype.detect=function(e,a){return void 0===a&&(a=20),n(this,void 0,void 0,function(){return t(this,function(i){return[2,this.infer(e,a)]})})},e.prototype.dispose=function(){this.model&&this.model.dispose()},e}();e.load=function(e){return void 0===e&&(e={}),n(this,void 0,void 0,function(){var a,n,m;return t(this,function(t){switch(t.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,(m=new s(a,n)).load()];case 1:return t.sent(),[2,m]}})})},e.ObjectDetection=s,e.version="2.0.2",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.cocoSsd={},e.tf,e.tf)}(this,function(e,a,i){"use strict";function n(e,a,i,n){return new(i||(i=Promise))(function(t,m){function d(e){try{r(n.next(e))}catch(e){m(e)}}function s(e){try{r(n.throw(e))}catch(e){m(e)}}function r(e){e.done?t(e.value):new i(function(a){a(e.value)}).then(d,s)}r((n=n.apply(e,a||[])).next())})}function t(e,a){var i,n,t,m,d={label:0,sent:function(){if(1&t[0])throw t[1];return t[1]},trys:[],ops:[]};return m={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(m[Symbol.iterator]=function(){return this}),m;function s(m){return function(s){return function(m){if(i)throw new TypeError("Generator is already executing.");for(;d;)try{if(i=1,n&&(t=2&m[0]?n.return:m[0]?n.throw||((t=n.return)&&t.call(n),0):n.next)&&!(t=t.call(n,m[1])).done)return t;switch(n=0,t&&(m=[2&m[0],t.value]),m[0]){case 0:case 1:t=m;break;case 4:return d.label++,{value:m[1],done:!1};case 5:d.label++,n=m[1],m=[0];continue;case 7:m=d.ops.pop(),d.trys.pop();continue;default:if(!(t=(t=d.trys).length>0&&t[t.length-1])&&(6===m[0]||2===m[0])){d=0;continue}if(3===m[0]&&(!t||m[1]>t[0]&&m[1]<t[3])){d.label=m[1];break}if(6===m[0]&&d.label<t[1]){d.label=t[1],t=m;break}if(t&&d.label<t[2]){d.label=t[2],d.ops.push(m);break}t[2]&&d.ops.pop(),d.trys.pop();continue}m=a.call(e,d)}catch(e){m=[6,e],n=0}finally{i=t=0}if(5&m[0])throw m[1];return{value:m[0]?m[1]:void 0,done:!0}}([m,s])}}}var m={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"}},d="https://storage.googleapis.com/tfjs-models/savedmodel/";var s=function(){function e(e,a){this.modelPath=a||""+d+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,m;return t(this,function(t){switch(t.label){case 0:return e=this,[4,a.loadGraphModel(this.modelPath)];case 1:return e.model=t.sent(),n=i.zeros([1,300,300,3],"int32"),[4,this.model.executeAsync(n)];case 2:return m=t.sent(),[4,Promise.all(m.map(function(e){return e.data()}))];case 3:return t.sent(),m.map(function(e){return e.dispose()}),n.dispose(),[2]}})})},e.prototype.infer=function(e,a){return n(this,void 0,void 0,function(){var n,m,d,s,r,o,l,p,c,y,u,f;return t(this,function(t){switch(t.label){case 0:return n=i.tidy(function(){return e instanceof i.Tensor||(e=i.browser.fromPixels(e)),e.expandDims(0)}),m=n.shape[1],d=n.shape[2],[4,this.model.executeAsync(n)];case 1:return s=t.sent(),r=s[0].dataSync(),o=s[1].dataSync(),n.dispose(),i.dispose(s),l=function(e,a){var i="function"==typeof Symbol&&e[Symbol.iterator];if(!i)return e;var n,t,m=i.call(e),d=[];try{for(;(void 0===a||a-- >0)&&!(n=m.next()).done;)d.push(n.value)}catch(e){t={error:e}}finally{try{n&&!n.done&&(i=m.return)&&i.call(m)}finally{if(t)throw t.error}}return d}(this.calculateMaxScores(r,s[0].shape[1],s[0].shape[2]),2),p=l[0],c=l[1],y=i.getBackend(),i.setBackend("cpu"),u=i.tidy(function(){var e=i.tensor2d(o,[s[1].shape[1],s[1].shape[3]]);return i.image.nonMaxSuppression(e,p,a,.5,.5)}),f=u.dataSync(),u.dispose(),i.setBackend(y),[2,this.buildDetectedObjects(d,m,o,p,f,c)]}})})},e.prototype.buildDetectedObjects=function(e,a,i,n,t,d){for(var s=t.length,r=[],o=0;o<s;o++){for(var l=[],p=0;p<4;p++)l[p]=i[4*t[o]+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,r.push({bbox:l,class:m[d[t[o]]+1].displayName,score:n[t[o]]})}return r},e.prototype.calculateMaxScores=function(e,a,i){for(var n=[],t=[],m=0;m<a;m++){for(var d=Number.MIN_VALUE,s=-1,r=0;r<i;r++)e[m*i+r]>d&&(d=e[m*i+r],s=r);n[m]=d,t[m]=s}return[n,t]},e.prototype.detect=function(e,a){return void 0===a&&(a=20),n(this,void 0,void 0,function(){return t(this,function(i){return[2,this.infer(e,a)]})})},e.prototype.dispose=function(){null!=this.model&&this.model.dispose()},e}();e.load=function(e){return void 0===e&&(e={}),n(this,void 0,void 0,function(){var a,n,m;return t(this,function(t){switch(t.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,(m=new s(a,n)).load()];case 1:return t.sent(),[2,m]}})})},e.ObjectDetection=s,e.version="2.0.3",Object.defineProperty(e,"__esModule",{value:!0})});

dist/index.js

@@ -99,3 +99,3 @@ "use strict";
         return __awaiter(this, void 0, void 0, function () {
-            var _a, result;
+            var _a, zeroTensor, result;
             return __generator(this, function (_b) {
@@ -108,3 +108,4 @@ switch (_b.label) {
                         _a.model = _b.sent();
-                        return [4, this.model.executeAsync(tf.zeros([1, 300, 300, 3], 'int32'))];
+                        zeroTensor = tf.zeros([1, 300, 300, 3], 'int32');
+                        return [4, this.model.executeAsync(zeroTensor)];
                     case 2:
@@ -116,2 +117,3 @@ result = _b.sent();
                         result.map(function (t) { return t.dispose(); });
+                        zeroTensor.dispose();
                         return [2];
@@ -208,3 +210,3 @@ }
     ObjectDetection.prototype.dispose = function () {
-        if (this.model) {
+        if (this.model != null) {
             this.model.dispose();
@@ -211,0 +213,0 @@ }

dist/src/version.d.ts

@@ -1,2 +0,2 @@
-declare const version = "2.0.2";
+declare const version = "2.0.3";
 export { version };

dist/version.d.ts

@@ -1,2 +0,2 @@
-declare const version = "2.0.2";
+declare const version = "2.0.3";
 export { version };

dist/version.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-var version = '2.0.2';
+var version = '2.0.3';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow-models/coco-ssd",
-  "version": "2.0.2",
+  "version": "2.0.3",
   "description": "Object detection model (coco-ssd) in TensorFlow.js",
@@ -16,8 +16,8 @@ "main": "dist/index.js",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "^1.2.6",
-    "@tensorflow/tfjs-converter": "^1.2.5"
+    "@tensorflow/tfjs-converter": "^1.2.5",
+    "@tensorflow/tfjs-core": "^1.2.6"
   },
   "devDependencies": {
+    "@tensorflow/tfjs-converter": "^1.2.5",
     "@tensorflow/tfjs-core": "^1.2.6",
-    "@tensorflow/tfjs-converter": "^1.2.5",
     "@types/jasmine": "~2.8.8",
@@ -24,0 +24,0 @@ "babel-core": "~6.26.0",

No alert changes

Improved metrics

Total package byte prevSize

71450

increased by0.4%

Lines of code

1552

increased by0.26%

No dependency changes