reduced bundle size

dist/demo-browser-index.json

@@ -23,7 +23,7 @@
       "imports": []
     },
     "dist/human.esm.js": {
-      "bytes": 3443493,
+      "bytes": 2080824,
       "imports": []
     }
   },
@@ -31,25 +31,31 @@
     "dist/demo-browser-index.js.map": {
       "imports": [],
       "inputs": {},
-      "bytes": 5414325
+      "bytes": 2844399
     },
     "dist/demo-browser-index.js": {
       "imports": [],
       "inputs": {
         "dist/human.esm.js": {
-          "bytesInOutput": 3432788
+          "bytesInOutput": 1144406
+        },
+        "dist/human.esm.js": {
+          "bytesInOutput": 319699
+        },
+        "dist/human.esm.js": {
+          "bytesInOutput": 578472
         },
         "demo/draw.js": {
           "bytesInOutput": 9599
         },
         "demo/menu.js": {
-          "bytesInOutput": 13813
+          "bytesInOutput": 13821
         },
         "demo/browser.js": {
-          "bytesInOutput": 17362
+          "bytesInOutput": 17394
         }
       },
-      "bytes": 3473684
+      "bytes": 2083513
     }
   }
 }

dist/human.esm-nobundle.js

@@ -1347,7 +1347,7 @@ var require_gender = __commonJS((exports) => {
           const confidence = Math.trunc(200 * Math.abs(data2[0] - 0.5)) / 100;
           if (confidence > config2.face.gender.minConfidence) {
             obj.gender = data2[0] <= 0.5 ? "female" : "male";
-            obj.confidence = confidence;
+            obj.confidence = Math.min(0.99, confidence);
           }
         }
       }
@@ -20867,7 +20867,7 @@ var require_image = __commonJS((exports) => {
 });
 
 // src/tf.js
-import * as tf from "@tensorflow/tfjs/dist/tf.es2017.js";
+import * as tf from "@tensorflow/tfjs/dist/index.js";
 import {setWasmPaths} from "@tensorflow/tfjs-backend-wasm/dist/index.js";
 const loadGraphModel = tf.loadGraphModel;
 
@@ -23785,7 +23785,7 @@ var config_default = {
 };
 
 // package.json
-var version = "0.8.6";
+var version = "0.8.7";
 
 // src/human.js
 const disableSkipFrames = {
@@ -23890,33 +23890,33 @@ class Human {
     }
     if (this.config.async) {
       [
+        this.models.facemesh,
         this.models.age,
         this.models.gender,
         this.models.emotion,
-        this.models.facemesh,
         this.models.posenet,
         this.models.handpose
       ] = await Promise.all([
-        this.models.age || (this.config.face.age.enabled ? age.load(this.config) : null),
-        this.models.gender || (this.config.face.gender.enabled ? gender.load(this.config) : null),
-        this.models.emotion || (this.config.face.emotion.enabled ? emotion.load(this.config) : null),
         this.models.facemesh || (this.config.face.enabled ? facemesh.load(this.config.face) : null),
+        this.models.age || (this.config.face.enabled && this.config.face.age.enabled ? age.load(this.config) : null),
+        this.models.gender || (this.config.face.enabled && this.config.face.gender.enabled ? gender.load(this.config) : null),
+        this.models.emotion || (this.config.face.enabled && this.config.face.emotion.enabled ? emotion.load(this.config) : null),
         this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),
         this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config.hand) : null)
       ]);
     } else {
       if (this.config.face.enabled && !this.models.facemesh)
         this.models.facemesh = await facemesh.load(this.config.face);
-      if (this.config.body.enabled && !this.models.posenet)
-        this.models.posenet = await posenet.load(this.config);
-      if (this.config.hand.enabled && !this.models.handpose)
-        this.models.handpose = await handpose.load(this.config.hand);
       if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age)
         this.models.age = await age.load(this.config);
       if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender)
         this.models.gender = await gender.load(this.config);
       if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion)
         this.models.emotion = await emotion.load(this.config);
+      if (this.config.body.enabled && !this.models.posenet)
+        this.models.posenet = await posenet.load(this.config);
+      if (this.config.hand.enabled && !this.models.handpose)
+        this.models.handpose = await handpose.load(this.config.hand);
     }
     const current = Math.trunc(now() - timeStamp);
     if (current > (this.perf.load || 0))
@@ -24025,6 +24025,13 @@ class Human {
     }
     return faceRes;
   }
+  async image(input, userConfig = {}) {
+    this.state = "image";
+    this.config = mergeDeep(this.config, userConfig);
+    const process3 = image.process(input, this.config);
+    process3.tensor.dispose();
+    return process3.canvas;
+  }
   async detect(input, userConfig = {}) {
     this.state = "config";
     let timeStamp;

dist/human.esm-nobundle.json

@@ -216,7 +216,7 @@
       "imports": []
     },
     "src/gender/gender.js": {
-      "bytes": 3193,
+      "bytes": 3209,
       "imports": [
         {
           "path": "src/tf.js"
@@ -289,7 +289,7 @@
       "imports": []
     },
     "src/human.js": {
-      "bytes": 14460,
+      "bytes": 14787,
       "imports": [
         {
           "path": "src/tf.js"
@@ -349,7 +349,7 @@
       "imports": []
     },
     "src/tf.js": {
-      "bytes": 1135,
+      "bytes": 1401,
       "imports": []
     }
   },
@@ -357,7 +357,7 @@
     "dist/human.esm-nobundle.js.map": {
       "imports": [],
       "inputs": {},
-      "bytes": 768064
+      "bytes": 769567
     },
     "dist/human.esm-nobundle.js": {
       "imports": [],
@@ -390,7 +390,7 @@
           "bytesInOutput": 1826
         },
         "src/gender/gender.js": {
-          "bytesInOutput": 2980
+          "bytesInOutput": 2996
         },
         "src/emotion/emotion.js": {
           "bytesInOutput": 2697
@@ -450,7 +450,7 @@
           "bytesInOutput": 5382
         },
         "src/tf.js": {
-          "bytesInOutput": 174
+          "bytesInOutput": 170
         },
         "src/face/triangulation.js": {
           "bytesInOutput": 17898
@@ -477,13 +477,13 @@
           "bytesInOutput": 23
         },
         "src/human.js": {
-          "bytesInOutput": 12010
+          "bytesInOutput": 12333
         },
         "src/human.js": {
           "bytesInOutput": 0
         }
       },
-      "bytes": 418822
+      "bytes": 419157
     }
   }
 }

dist/human.node-nobundle.js

@@ -1352,7 +1352,7 @@ var require_gender = __commonJS((exports2) => {
           const confidence = Math.trunc(200 * Math.abs(data2[0] - 0.5)) / 100;
           if (confidence > config2.face.gender.minConfidence) {
             obj.gender = data2[0] <= 0.5 ? "female" : "male";
-            obj.confidence = confidence;
+            obj.confidence = Math.min(0.99, confidence);
           }
         }
       }
@@ -20877,7 +20877,7 @@ __export(exports, {
 });
 
 // src/tf.js
-const tf = __toModule(require("@tensorflow/tfjs/dist/tf.es2017.js"));
+const tf = __toModule(require("@tensorflow/tfjs/dist/index.js"));
 const dist = __toModule(require("@tensorflow/tfjs-backend-wasm/dist/index.js"));
 const loadGraphModel = tf.loadGraphModel;
 
@@ -23795,7 +23795,7 @@ var config_default = {
 };
 
 // package.json
-var version = "0.8.6";
+var version = "0.8.7";
 
 // src/human.js
 const disableSkipFrames = {
@@ -23900,33 +23900,33 @@ class Human {
     }
     if (this.config.async) {
       [
+        this.models.facemesh,
         this.models.age,
         this.models.gender,
         this.models.emotion,
-        this.models.facemesh,
         this.models.posenet,
         this.models.handpose
       ] = await Promise.all([
-        this.models.age || (this.config.face.age.enabled ? age.load(this.config) : null),
-        this.models.gender || (this.config.face.gender.enabled ? gender.load(this.config) : null),
-        this.models.emotion || (this.config.face.emotion.enabled ? emotion.load(this.config) : null),
         this.models.facemesh || (this.config.face.enabled ? facemesh.load(this.config.face) : null),
+        this.models.age || (this.config.face.enabled && this.config.face.age.enabled ? age.load(this.config) : null),
+        this.models.gender || (this.config.face.enabled && this.config.face.gender.enabled ? gender.load(this.config) : null),
+        this.models.emotion || (this.config.face.enabled && this.config.face.emotion.enabled ? emotion.load(this.config) : null),
         this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),
         this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config.hand) : null)
       ]);
     } else {
       if (this.config.face.enabled && !this.models.facemesh)
         this.models.facemesh = await facemesh.load(this.config.face);
-      if (this.config.body.enabled && !this.models.posenet)
-        this.models.posenet = await posenet.load(this.config);
-      if (this.config.hand.enabled && !this.models.handpose)
-        this.models.handpose = await handpose.load(this.config.hand);
       if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age)
         this.models.age = await age.load(this.config);
       if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender)
         this.models.gender = await gender.load(this.config);
       if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion)
         this.models.emotion = await emotion.load(this.config);
+      if (this.config.body.enabled && !this.models.posenet)
+        this.models.posenet = await posenet.load(this.config);
+      if (this.config.hand.enabled && !this.models.handpose)
+        this.models.handpose = await handpose.load(this.config.hand);
     }
     const current = Math.trunc(now() - timeStamp);
     if (current > (this.perf.load || 0))
@@ -24035,6 +24035,13 @@ class Human {
     }
     return faceRes;
   }
+  async image(input, userConfig = {}) {
+    this.state = "image";
+    this.config = mergeDeep(this.config, userConfig);
+    const process3 = image.process(input, this.config);
+    process3.tensor.dispose();
+    return process3.canvas;
+  }
   async detect(input, userConfig = {}) {
     this.state = "config";
     let timeStamp;

dist/human.node.json

@@ -216,7 +216,7 @@
       "imports": []
     },
     "src/gender/gender.js": {
-      "bytes": 3193,
+      "bytes": 3209,
       "imports": [
         {
           "path": "src/tf.js"
@@ -289,7 +289,7 @@
       "imports": []
     },
     "src/human.js": {
-      "bytes": 14460,
+      "bytes": 14787,
       "imports": [
         {
           "path": "src/tf.js"
@@ -349,7 +349,7 @@
       "imports": []
     },
     "src/tf.js": {
-      "bytes": 1135,
+      "bytes": 1401,
       "imports": []
     }
   },
@@ -357,7 +357,7 @@
     "dist/human.node-nobundle.js.map": {
       "imports": [],
       "inputs": {},
-      "bytes": 782976
+      "bytes": 784814
     },
     "dist/human.node-nobundle.js": {
       "imports": [],
@@ -390,7 +390,7 @@
           "bytesInOutput": 1829
         },
         "src/gender/gender.js": {
-          "bytesInOutput": 2983
+          "bytesInOutput": 2999
         },
         "src/emotion/emotion.js": {
           "bytesInOutput": 2700
@@ -453,7 +453,7 @@
           "bytesInOutput": 47
         },
         "src/tf.js": {
-          "bytesInOutput": 193
+          "bytesInOutput": 189
         },
         "src/face/triangulation.js": {
           "bytesInOutput": 17898
@@ -480,10 +480,10 @@
           "bytesInOutput": 23
         },
         "src/human.js": {
-          "bytesInOutput": 12015
+          "bytesInOutput": 12338
         }
       },
-      "bytes": 419169
+      "bytes": 419504
     }
   }
 }

src/tf.js

@@ -1,18 +1,18 @@
-// custom: bundle 3.4M
+// from compileld sources: bundle 2.0M
-/*
+import * as tf from '@tensorflow/tfjs/dist/index.js';
-import * as tf from '../../../dev-clone/tfjs/tfjs/dist/tf.esnext.js';
 import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
 
 const loadGraphModel = tf.loadGraphModel;
 export { tf, setWasmPaths, loadGraphModel };
-*/
 
-// monolithic: bundle 3.4M
+// from esm bundles: bundle 3.2M
+/*
 import * as tf from '@tensorflow/tfjs/dist/tf.es2017.js';
 import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
 
 const loadGraphModel = tf.loadGraphModel;
 export { tf, setWasmPaths, loadGraphModel };
+*/
 
 // modular: bundle 4.2M
 /*
@@ -26,3 +26,12 @@ const version = { core: tf.version, cpu: tfCPU.version_cpu, webgl: tfWebGL.versi
 
 export { tf, setWasmPaths, loadGraphModel, version };
 */
+
+// custom: bundle 3.4M
+/*
+import * as tf from '../../../dev-clone/tfjs/tfjs/dist/index.js';
+import { setWasmPaths } from '@tensorflow/tfjs-backend-wasm/dist/index.js';
+
+const loadGraphModel = tf.loadGraphModel;
+export { tf, setWasmPaths, loadGraphModel };
+*/

wiki

@@ -1 +1 @@
-Subproject commit 5dcbe8ad56fc4dc21378046c225185e6203250eb
+Subproject commit 1cc1d9bf597c26a37f4e70c4895b1e956195c1b3