diff --git a/.eslintrc.js b/.eslintrc.js
index 5d67dd2..0b3662b 100644
--- a/.eslintrc.js
+++ b/.eslintrc.js
@@ -1,4 +1,4 @@
-module.exports = {
+module.exports = {
   root: true,
   env: {
     node: true
diff --git a/babel.config.js b/babel.config.js
index fe50c79..716b023 100644
--- a/babel.config.js
+++ b/babel.config.js
@@ -1,3 +1,3 @@
-module.exports = {
+module.exports = {
   presets: ['@vue/cli-plugin-babel/preset']
 }
diff --git a/src/App.vue b/src/App.vue
index 653ffb9..2d7760d 100644
--- a/src/App.vue
+++ b/src/App.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div id="app">
     <router-view />
   </div>
diff --git a/src/api/auth.js b/src/api/auth.js
index 738ce3b..18b1b64 100644
--- a/src/api/auth.js
+++ b/src/api/auth.js
@@ -141,7 +141,7 @@ export function userAssets (payload = {}) {
 }
 
 export function getStoreData () {
-  return http.get(AUTH_API.storeData,{})
+  return http.get(AUTH_API.storeData, {})
 }
 
 export function dishesTop5 (payload = {}) {
diff --git a/src/api/http.js b/src/api/http.js
index f308c97..f554536 100644
--- a/src/api/http.js
+++ b/src/api/http.js
@@ -1,4 +1,4 @@
-import axios from 'axios'
+import axios from 'axios'
 import { getToken, clearAuthSession } from '@/utils/auth'
 
 const envBaseUrl = (process.env.VUE_APP_API_BASE_URL || '').trim()
diff --git a/src/components/tracking/color_camera_gui.js b/src/components/tracking/color_camera_gui.js
index cbfa7e1..69aa32a 100644
--- a/src/components/tracking/color_camera_gui.js
+++ b/src/components/tracking/color_camera_gui.js
@@ -1,94 +1,94 @@
-function initGUIControllers(tracker) {
+function initGUIControllers (tracker) {
   // GUI Controllers
 
-  var gui = new dat.GUI();
+  var gui = new dat.GUI()
 
   var trackedColors = {
     custom: false
-  };
+  }
 
-  Object.keys(tracking.ColorTracker.knownColors_).forEach(function(color) {
-    trackedColors[color] = true;
-  });
+  Object.keys(tracking.ColorTracker.knownColors_).forEach(function (color) {
+    trackedColors[color] = true
+  })
 
-  tracker.customColor = '#000000';
+  tracker.customColor = '#000000'
 
-  function createCustomColor(value) {
-    var components = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(value);
-    var customColorR = parseInt(components[1], 16);
-    var customColorG = parseInt(components[2], 16);
-    var customColorB = parseInt(components[3], 16);
+  function createCustomColor (value) {
+    var components = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(value)
+    var customColorR = parseInt(components[1], 16)
+    var customColorG = parseInt(components[2], 16)
+    var customColorB = parseInt(components[3], 16)
 
-    var colorTotal = customColorR + customColorG + customColorB;
+    var colorTotal = customColorR + customColorG + customColorB
 
     if (colorTotal === 0) {
-      tracking.ColorTracker.registerColor('custom', function(r, g, b) {
-        return r + g + b < 10;
-      });
+      tracking.ColorTracker.registerColor('custom', function (r, g, b) {
+        return r + g + b < 10
+      })
     } else {
-      var rRatio = customColorR / colorTotal;
-      var gRatio = customColorG / colorTotal;
+      var rRatio = customColorR / colorTotal
+      var gRatio = customColorG / colorTotal
 
-      tracking.ColorTracker.registerColor('custom', function(r, g, b) {
-        var colorTotal2 = r + g + b;
+      tracking.ColorTracker.registerColor('custom', function (r, g, b) {
+        var colorTotal2 = r + g + b
 
         if (colorTotal2 === 0) {
           if (colorTotal < 10) {
-            return true;
+            return true
           }
-          return false;
+          return false
         }
 
-        var rRatio2 = r / colorTotal2,
-          gRatio2 = g / colorTotal2,
-          deltaColorTotal = colorTotal / colorTotal2,
-          deltaR = rRatio / rRatio2,
-          deltaG = gRatio / gRatio2;
+        var rRatio2 = r / colorTotal2
+        var gRatio2 = g / colorTotal2
+        var deltaColorTotal = colorTotal / colorTotal2
+        var deltaR = rRatio / rRatio2
+        var deltaG = gRatio / gRatio2
 
         return deltaColorTotal > 0.9 && deltaColorTotal < 1.1 &&
           deltaR > 0.9 && deltaR < 1.1 &&
-          deltaG > 0.9 && deltaG < 1.1;
-      });
+          deltaG > 0.9 && deltaG < 1.1
+      })
     }
 
-    updateColors();
+    updateColors()
   }
 
-  function updateColors() {
-    var colors = [];
+  function updateColors () {
+    var colors = []
 
     for (var color in trackedColors) {
       if (trackedColors[color]) {
-        colors.push(color);
+        colors.push(color)
       }
     }
 
-    tracker.setColors(colors);
+    tracker.setColors(colors)
   }
 
-  var colorsFolder = gui.addFolder('Colors');
+  var colorsFolder = gui.addFolder('Colors')
 
-  Object.keys(trackedColors).forEach(function(color) {
+  Object.keys(trackedColors).forEach(function (color) {
     if (color !== 'custom') {
-      colorsFolder.add(trackedColors, color).onFinishChange(updateColors);
+      colorsFolder.add(trackedColors, color).onFinishChange(updateColors)
     }
-  });
+  })
 
-  colorsFolder.add(trackedColors, 'custom').onFinishChange(function(value) {
+  colorsFolder.add(trackedColors, 'custom').onFinishChange(function (value) {
     if (value) {
-      this.customColorElement = colorsFolder.addColor(tracker, 'customColor').onChange(createCustomColor);
+      this.customColorElement = colorsFolder.addColor(tracker, 'customColor').onChange(createCustomColor)
     } else {
-      colorsFolder.remove(this.customColorElement);
+      colorsFolder.remove(this.customColorElement)
     }
-  });
+  })
 
-  var parametersFolder = gui.addFolder('Parameters');
+  var parametersFolder = gui.addFolder('Parameters')
 
-  parametersFolder.add(tracker, 'minDimension', 1, 100);
-  parametersFolder.add(tracker, 'minGroupSize', 1, 100);
+  parametersFolder.add(tracker, 'minDimension', 1, 100)
+  parametersFolder.add(tracker, 'minGroupSize', 1, 100)
 
-  colorsFolder.open();
-  parametersFolder.open();
+  colorsFolder.open()
+  parametersFolder.open()
 
-  updateColors();
+  updateColors()
 }
diff --git a/src/components/tracking/face-min.js b/src/components/tracking/face-min.js
index 633858f..5097170 100644
--- a/src/components/tracking/face-min.js
+++ b/src/components/tracking/face-min.js
@@ -5,4 +5,4 @@
  * @link http://trackingjs.com
  * @license BSD
  */
-tracking.ViolaJones.classifiers.face=new 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2, 0.0431624315679073, 0.4738228023052216, 0.6522961258888245])
diff --git a/src/components/tracking/splines.min.js b/src/components/tracking/splines.min.js
index 23d396b..3213177 100644
--- a/src/components/tracking/splines.min.js
+++ b/src/components/tracking/splines.min.js
@@ -1 +1 @@
-function HSVtoRGB(h,s,v,opacity){var toHex=function(decimalValue,places){if(places==undefined||isNaN(places))places=2;var hex=new Array("0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F");var next=0;var hexidecimal="";decimalValue=Math.floor(decimalValue);while(decimalValue>0){next=decimalValue%16;decimalValue=Math.floor((decimalValue-next)/16);hexidecimal=hex[next]+hexidecimal}while(hexidecimal.length<places){hexidecimal="0"+hexidecimal}return hexidecimal};var hi=Math.floor(h/60)%6;var f=h/60-Math.floor(h/60);var p=v*(1-s);var q=v*(1-f*s);var t=v*(1-(1-f)*s);var r=v;var g=t;var b=p;switch(hi){case 1:r=q;g=v;b=p;break;case 2:r=p;g=v;b=t;break;case 3:r=p;g=q;b=v;break;case 4:r=t;g=p;b=v;break;case 5:r=v;g=p;b=q;break}if(opacity){return"rgba("+Math.round(255*r)+","+Math.round(255*g)+","+Math.round(255*b)+","+opacity+")"}else{return"#"+toHex(r*255)+toHex(g*255)+toHex(b*255)}}function hexToCanvasColor(hexColor,opacity){opacity=opacity||"1.0";hexColor=hexColor.replace("#","");var r=parseInt(hexColor.substring(0,2),16);var g=parseInt(hexColor.substring(2,4),16);var b=parseInt(hexColor.substring(4,6),16);return"rgba("+r+","+g+","+b+","+opacity+")"}function drawPoint(ctx,x,y,r,color){ctx.save();ctx.beginPath();ctx.lineWidth=1;ctx.fillStyle=hexToCanvasColor(color,1);ctx.arc(x,y,r,0,2*Math.PI,false);ctx.closePath();ctx.stroke();ctx.fill();ctx.restore()}function getControlPoints(x0,y0,x1,y1,x2,y2,t){var d01=Math.sqrt(Math.pow(x1-x0,2)+Math.pow(y1-y0,2));var d12=Math.sqrt(Math.pow(x2-x1,2)+Math.pow(y2-y1,2));var fa=t*d01/(d01+d12);var fb=t-fa;var p1x=x1+fa*(x0-x2);var p1y=y1+fa*(y0-y2);var p2x=x1-fb*(x0-x2);var p2y=y1-fb*(y0-y2);return[p1x,p1y,p2x,p2y]}function drawControlLine(ctx,x,y,px,py){ctx.save();ctx.beginPath();ctx.lineWidth=1;ctx.strokeStyle="rgba(0,0,0,0.3)";ctx.moveTo(x,y);ctx.lineTo(px,py);ctx.closePath();ctx.stroke();drawPoint(ctx,px,py,1.5,"#000000");ctx.restore()}function drawSpline(ctx,pts,t,closed){showDetails=true;ctx.lineWidth=4;ctx.save();var cp=[];var n=pts.length;if(closed){pts.push(pts[0],pts[1],pts[2],pts[3]);pts.unshift(pts[n-1]);pts.unshift(pts[n-1]);for(var i=0;i<n;i+=2){cp=cp.concat(getControlPoints(pts[i],pts[i+1],pts[i+2],pts[i+3],pts[i+4],pts[i+5],t))}cp=cp.concat(cp[0],cp[1]);for(var i=2;i<n+2;i+=2){var color=HSVtoRGB(Math.floor(240*(i-2)/(n-2)),.8,.8);if(!showDetails){color="#555555"}ctx.strokeStyle=hexToCanvasColor(color,.75);ctx.beginPath();ctx.moveTo(pts[i],pts[i+1]);ctx.bezierCurveTo(cp[2*i-2],cp[2*i-1],cp[2*i],cp[2*i+1],pts[i+2],pts[i+3]);ctx.stroke();ctx.closePath()}}else{for(var i=0;i<n-4;i+=2){cp=cp.concat(getControlPoints(pts[i],pts[i+1],pts[i+2],pts[i+3],pts[i+4],pts[i+5],t))}for(var i=2;i<pts.length-5;i+=2){var color=HSVtoRGB(Math.floor(240*(i-2)/(n-2)),.8,.8);if(!showDetails){color="#555555"}ctx.strokeStyle=hexToCanvasColor(color,.75);ctx.beginPath();ctx.moveTo(pts[i],pts[i+1]);ctx.bezierCurveTo(cp[2*i-2],cp[2*i-1],cp[2*i],cp[2*i+1],pts[i+2],pts[i+3]);ctx.stroke();ctx.closePath()}var color=HSVtoRGB(40,.4,.4);if(!showDetails){color="#555555"}ctx.strokeStyle=hexToCanvasColor(color,.75);ctx.beginPath();ctx.moveTo(pts[0],pts[1]);ctx.quadraticCurveTo(cp[0],cp[1],pts[2],pts[3]);ctx.stroke();ctx.closePath();var color=HSVtoRGB(240,.8,.8);if(!showDetails){color="#555555"}ctx.strokeStyle=hexToCanvasColor(color,.75);ctx.beginPath();ctx.moveTo(pts[n-2],pts[n-1]);ctx.quadraticCurveTo(cp[2*n-10],cp[2*n-9],pts[n-4],pts[n-3]);ctx.stroke();ctx.closePath()}ctx.restore()}
\ No newline at end of file
+function HSVtoRGB (h, s, v, opacity) { var toHex = function (decimalValue, places) { if (places == undefined || isNaN(places))places = 2; var hex = new Array('0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E', 'F'); var next = 0; var hexidecimal = ''; decimalValue = Math.floor(decimalValue); while (decimalValue > 0) { next = decimalValue % 16; decimalValue = Math.floor((decimalValue - next) / 16); hexidecimal = hex[next] + hexidecimal } while (hexidecimal.length < places) { hexidecimal = '0' + hexidecimal } return hexidecimal }; var hi = Math.floor(h / 60) % 6; var f = h / 60 - Math.floor(h / 60); var p = v * (1 - s); var q = v * (1 - f * s); var t = v * (1 - (1 - f) * s); var r = v; var g = t; var b = p; switch (hi) { case 1:r = q; g = v; b = p; break; case 2:r = p; g = v; b = t; break; case 3:r = p; g = q; b = v; break; case 4:r = t; g = p; b = v; break; case 5:r = v; g = p; b = q; break } if (opacity) { return 'rgba(' + Math.round(255 * r) + ',' + Math.round(255 * g) + ',' + Math.round(255 * b) + ',' + opacity + ')' } else { return '#' + toHex(r * 255) + toHex(g * 255) + toHex(b * 255) } } function hexToCanvasColor (hexColor, opacity) { opacity = opacity || '1.0'; hexColor = hexColor.replace('#', ''); var r = parseInt(hexColor.substring(0, 2), 16); var g = parseInt(hexColor.substring(2, 4), 16); var b = parseInt(hexColor.substring(4, 6), 16); return 'rgba(' + r + ',' + g + ',' + b + ',' + opacity + ')' } function drawPoint (ctx, x, y, r, color) { ctx.save(); ctx.beginPath(); ctx.lineWidth = 1; ctx.fillStyle = hexToCanvasColor(color, 1); ctx.arc(x, y, r, 0, 2 * Math.PI, false); ctx.closePath(); ctx.stroke(); ctx.fill(); ctx.restore() } function getControlPoints (x0, y0, x1, y1, x2, y2, t) { var d01 = Math.sqrt(Math.pow(x1 - x0, 2) + Math.pow(y1 - y0, 2)); var d12 = Math.sqrt(Math.pow(x2 - x1, 2) + Math.pow(y2 - y1, 2)); var fa = t * d01 / (d01 + d12); var fb = t - fa; var p1x = x1 + fa * (x0 - x2); var p1y = y1 + fa * (y0 - y2); var p2x = x1 - fb * (x0 - x2); var p2y = y1 - fb * (y0 - y2); return [p1x, p1y, p2x, p2y] } function drawControlLine (ctx, x, y, px, py) { ctx.save(); ctx.beginPath(); ctx.lineWidth = 1; ctx.strokeStyle = 'rgba(0,0,0,0.3)'; ctx.moveTo(x, y); ctx.lineTo(px, py); ctx.closePath(); ctx.stroke(); drawPoint(ctx, px, py, 1.5, '#000000'); ctx.restore() } function drawSpline (ctx, pts, t, closed) { showDetails = true; ctx.lineWidth = 4; ctx.save(); var cp = []; var n = pts.length; if (closed) { pts.push(pts[0], pts[1], pts[2], pts[3]); pts.unshift(pts[n - 1]); pts.unshift(pts[n - 1]); for (var i = 0; i < n; i += 2) { cp = cp.concat(getControlPoints(pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5], t)) }cp = cp.concat(cp[0], cp[1]); for (var i = 2; i < n + 2; i += 2) { var color = HSVtoRGB(Math.floor(240 * (i - 2) / (n - 2)), 0.8, 0.8); if (!showDetails) { color = '#555555' }ctx.strokeStyle = hexToCanvasColor(color, 0.75); ctx.beginPath(); ctx.moveTo(pts[i], pts[i + 1]); ctx.bezierCurveTo(cp[2 * i - 2], cp[2 * i - 1], cp[2 * i], cp[2 * i + 1], pts[i + 2], pts[i + 3]); ctx.stroke(); ctx.closePath() } } else { for (var i = 0; i < n - 4; i += 2) { cp = cp.concat(getControlPoints(pts[i], pts[i + 1], pts[i + 2], pts[i + 3], pts[i + 4], pts[i + 5], t)) } for (var i = 2; i < pts.length - 5; i += 2) { var color = HSVtoRGB(Math.floor(240 * (i - 2) / (n - 2)), 0.8, 0.8); if (!showDetails) { color = '#555555' }ctx.strokeStyle = hexToCanvasColor(color, 0.75); ctx.beginPath(); ctx.moveTo(pts[i], pts[i + 1]); ctx.bezierCurveTo(cp[2 * i - 2], cp[2 * i - 1], cp[2 * i], cp[2 * i + 1], pts[i + 2], pts[i + 3]); ctx.stroke(); ctx.closePath() } var color = HSVtoRGB(40, 0.4, 0.4); if (!showDetails) { color = '#555555' }ctx.strokeStyle = hexToCanvasColor(color, 0.75); ctx.beginPath(); ctx.moveTo(pts[0], pts[1]); ctx.quadraticCurveTo(cp[0], cp[1], pts[2], pts[3]); ctx.stroke(); ctx.closePath(); var color = HSVtoRGB(240, 0.8, 0.8); if (!showDetails) { color = '#555555' }ctx.strokeStyle = hexToCanvasColor(color, 0.75); ctx.beginPath(); ctx.moveTo(pts[n - 2], pts[n - 1]); ctx.quadraticCurveTo(cp[2 * n - 10], cp[2 * n - 9], pts[n - 4], pts[n - 3]); ctx.stroke(); ctx.closePath() }ctx.restore() }
diff --git a/src/components/tracking/stats.min.js b/src/components/tracking/stats.min.js
index 79e3812..6497337 100644
--- a/src/components/tracking/stats.min.js
+++ b/src/components/tracking/stats.min.js
@@ -1,32 +1,47 @@
 // stats.js - http://github.com/mrdoob/stats.js
-var Stats=function(){var l=Date.now(),m=l,g=0,n=Infinity,o=0,h=0,p=Infinity,q=0,r=0,s=0,f=document.createElement("div");f.id="stats";f.addEventListener("mousedown",function(b){b.preventDefault();t(++s%2)},!1);f.style.cssText="width:80px;opacity:0.9;cursor:pointer";var a=document.createElement("div");a.id="fps";a.style.cssText="padding:0 0 3px 3px;text-align:left;background-color:#002";f.appendChild(a);var i=document.createElement("div");i.id="fpsText";i.style.cssText="color:#0ff;font-family:Helvetica,Arial,sans-serif;font-size:9px;font-weight:bold;line-height:15px";
-i.innerHTML="FPS";a.appendChild(i);var c=document.createElement("div");c.id="fpsGraph";c.style.cssText="position:relative;width:74px;height:30px;background-color:#0ff";for(a.appendChild(c);74>c.children.length;){var j=document.createElement("span");j.style.cssText="width:1px;height:30px;float:left;background-color:#113";c.appendChild(j)}var d=document.createElement("div");d.id="ms";d.style.cssText="padding:0 0 3px 3px;text-align:left;background-color:#020;display:none";f.appendChild(d);var k=document.createElement("div");
-k.id="msText";k.style.cssText="color:#0f0;font-family:Helvetica,Arial,sans-serif;font-size:9px;font-weight:bold;line-height:15px";k.innerHTML="MS";d.appendChild(k);var e=document.createElement("div");e.id="msGraph";e.style.cssText="position:relative;width:74px;height:30px;background-color:#0f0";for(d.appendChild(e);74>e.children.length;)j=document.createElement("span"),j.style.cssText="width:1px;height:30px;float:left;background-color:#131",e.appendChild(j);var t=function(b){s=b;switch(s){case 0:a.style.display=
-"block";d.style.display="none";break;case 1:a.style.display="none",d.style.display="block"}};return{REVISION:11,domElement:f,setMode:t,begin:function(){l=Date.now()},end:function(){var b=Date.now();g=b-l;n=Math.min(n,g);o=Math.max(o,g);k.textContent=g+" MS ("+n+"-"+o+")";var a=Math.min(30,30-30*(g/200));e.appendChild(e.firstChild).style.height=a+"px";r++;b>m+1E3&&(h=Math.round(1E3*r/(b-m)),p=Math.min(p,h),q=Math.max(q,h),i.textContent=h+" FPS ("+p+"-"+q+")",a=Math.min(30,30-30*(h/100)),c.appendChild(c.firstChild).style.height=
-a+"px",m=b,r=0);return b},update:function(){l=this.end()}}};
+var Stats = function () {
+  var l = Date.now(); var m = l; var g = 0; var n = Infinity; var o = 0; var h = 0; var p = Infinity; var q = 0; var r = 0; var s = 0; var f = document.createElement('div'); f.id = 'stats'; f.addEventListener('mousedown', function (b) { b.preventDefault(); t(++s % 2) }, !1); f.style.cssText = 'width:80px;opacity:0.9;cursor:pointer'; var a = document.createElement('div'); a.id = 'fps'; a.style.cssText = 'padding:0 0 3px 3px;text-align:left;background-color:#002'; f.appendChild(a); var i = document.createElement('div'); i.id = 'fpsText'; i.style.cssText = 'color:#0ff;font-family:Helvetica,Arial,sans-serif;font-size:9px;font-weight:bold;line-height:15px'
+  i.innerHTML = 'FPS'; a.appendChild(i); var c = document.createElement('div'); c.id = 'fpsGraph'; c.style.cssText = 'position:relative;width:74px;height:30px;background-color:#0ff'; for (a.appendChild(c); c.children.length < 74;) { var j = document.createElement('span'); j.style.cssText = 'width:1px;height:30px;float:left;background-color:#113'; c.appendChild(j) } var d = document.createElement('div'); d.id = 'ms'; d.style.cssText = 'padding:0 0 3px 3px;text-align:left;background-color:#020;display:none'; f.appendChild(d); var k = document.createElement('div')
+  k.id = 'msText'; k.style.cssText = 'color:#0f0;font-family:Helvetica,Arial,sans-serif;font-size:9px;font-weight:bold;line-height:15px'; k.innerHTML = 'MS'; d.appendChild(k); var e = document.createElement('div'); e.id = 'msGraph'; e.style.cssText = 'position:relative;width:74px;height:30px;background-color:#0f0'; for (d.appendChild(e); e.children.length < 74;)j = document.createElement('span'), j.style.cssText = 'width:1px;height:30px;float:left;background-color:#131', e.appendChild(j); var t = function (b) {
+    s = b; switch (s) {
+      case 0:a.style.display =
+'block'; d.style.display = 'none'; break; case 1:a.style.display = 'none', d.style.display = 'block'
+    }
+  }; return {
+    REVISION: 11,
+    domElement: f,
+    setMode: t,
+    begin: function () { l = Date.now() },
+    end: function () {
+      var b = Date.now(); g = b - l; n = Math.min(n, g); o = Math.max(o, g); k.textContent = g + ' MS (' + n + '-' + o + ')'; var a = Math.min(30, 30 - 30 * (g / 200)); e.appendChild(e.firstChild).style.height = a + 'px'; r++; b > m + 1E3 && (h = Math.round(1E3 * r / (b - m)), p = Math.min(p, h), q = Math.max(q, h), i.textContent = h + ' FPS (' + p + '-' + q + ')', a = Math.min(30, 30 - 30 * (h / 100)), c.appendChild(c.firstChild).style.height =
+a + 'px', m = b, r = 0); return b
+    },
+    update: function () { l = this.end() }
+  }
+}
 
-var stats = new Stats();
-stats.setMode(2);
-stats.domElement.style.display='none'
+var stats = new Stats()
+stats.setMode(2)
+stats.domElement.style.display = 'none'
 // stats.domElement.style.position = 'absolute';
 // stats.domElement.style.left = '10px';
 // stats.domElement.style.top = '50px';
 // stats.domElement.style.zIndex = 100;
-document.addEventListener('DOMContentLoaded', function(event) {
-  document.body.appendChild(stats.domElement);
-});
+document.addEventListener('DOMContentLoaded', function (event) {
+  document.body.appendChild(stats.domElement)
+})
 
-var objectEmit_ = tracking.ObjectTracker.prototype.emit;
-var colorEmit_ = tracking.ColorTracker.prototype.emit;
+var objectEmit_ = tracking.ObjectTracker.prototype.emit
+var colorEmit_ = tracking.ColorTracker.prototype.emit
 
-stats.begin();
+stats.begin()
 
-tracking.ObjectTracker.prototype.emit = function() {
-  stats.end();
-  objectEmit_.apply(this, arguments);
-};
+tracking.ObjectTracker.prototype.emit = function () {
+  stats.end()
+  objectEmit_.apply(this, arguments)
+}
 
-tracking.ColorTracker.prototype.emit = function() {
-  stats.end();
-  colorEmit_.apply(this, arguments);
-};
+tracking.ColorTracker.prototype.emit = function () {
+  stats.end()
+  colorEmit_.apply(this, arguments)
+}
diff --git a/src/components/tracking/tracking-min.js b/src/components/tracking/tracking-min.js
index 125f915..f8e1c1b 100644
--- a/src/components/tracking/tracking-min.js
+++ b/src/components/tracking/tracking-min.js
@@ -5,4 +5,4 @@
  * @link http://trackingjs.com
  * @license BSD
  */
-!function(t,r){t.tracking=t.tracking||{},tracking.inherits=function(t,r){function n(){}n.prototype=r.prototype,t.superClass_=r.prototype,t.prototype=new n,t.prototype.constructor=t,t.base=function(t,n){var e=Array.prototype.slice.call(arguments,2);return r.prototype[n].apply(t,e)}},tracking.initUserMedia_=function(r,n){t.navigator.mediaDevices.getUserMedia({video:!0,audio:!(!n||!n.audio)}).then(function(t){r.srcObject=t})["catch"](function(t){throw Error("Cannot capture user camera.")})},tracking.isNode=function(t){return t.nodeType||this.isWindow(t)},tracking.isWindow=function(t){return!!(t&&t.alert&&t.document)},tracking.one=function(t,r){return this.isNode(t)?t:(r||document).querySelector(t)},tracking.track=function(t,r,n){if(t=tracking.one(t),!t)throw new Error("Element not found, try a different element or selector.");if(!r)throw new Error("Tracker not specified, try `tracking.track(element, new tracking.FaceTracker())`.");switch(t.nodeName.toLowerCase()){case"canvas":return this.trackCanvas_(t,r,n);case"img":return this.trackImg_(t,r,n);case"video":return n&&n.camera&&this.initUserMedia_(t,n),this.trackVideo_(t,r,n);default:throw new Error("Element not supported, try in a canvas, img, or video.")}},tracking.trackCanvas_=function(t,r){var n=this,e=new tracking.TrackerTask(r);return e.on("run",function(){n.trackCanvasInternal_(t,r)}),e.run()},tracking.trackCanvasInternal_=function(t,r){var n=t.width,e=t.height,a=t.getContext("2d"),i=a.getImageData(0,0,n,e);r.track(i.data,n,e)},tracking.trackImg_=function(t,r){var n=t.width,e=t.height,a=document.createElement("canvas");a.width=n,a.height=e;var i=new tracking.TrackerTask(r);return i.on("run",function(){tracking.Canvas.loadImage(a,t.src,0,0,n,e,function(){tracking.trackCanvasInternal_(a,r)})}),i.run()},tracking.trackVideo_=function(r,n){var e,a,i=document.createElement("canvas"),o=i.getContext("2d"),c=function(){e=r.offsetWidth,a=r.offsetHeight,i.width=e,i.height=a};c(),r.addEventListener("resize",c);var s,g=function(){s=t.requestAnimationFrame(function(){if(r.readyState===r.HAVE_ENOUGH_DATA){try{o.drawImage(r,0,0,e,a)}catch(t){}tracking.trackCanvasInternal_(i,n)}g()})},h=new tracking.TrackerTask(n);return h.on("stop",function(){t.cancelAnimationFrame(s)}),h.on("run",function(){g()}),h.run()},t.URL||(t.URL=t.URL||t.webkitURL||t.msURL||t.oURL),navigator.getUserMedia||(navigator.getUserMedia=navigator.getUserMedia||navigator.webkitGetUserMedia||navigator.mozGetUserMedia||navigator.msGetUserMedia)}(window),function(){tracking.EventEmitter=function(){},tracking.EventEmitter.prototype.events_=null,tracking.EventEmitter.prototype.addListener=function(t,r){if("function"!=typeof r)throw new TypeError("Listener must be a function");return this.events_||(this.events_={}),this.emit("newListener",t,r),this.events_[t]||(this.events_[t]=[]),this.events_[t].push(r),this},tracking.EventEmitter.prototype.listeners=function(t){return this.events_&&this.events_[t]},tracking.EventEmitter.prototype.emit=function(t){var r=this.listeners(t);if(r){for(var n=Array.prototype.slice.call(arguments,1),e=0;e<r.length;e++)r[e]&&r[e].apply(this,n);return!0}return!1},tracking.EventEmitter.prototype.on=tracking.EventEmitter.prototype.addListener,tracking.EventEmitter.prototype.once=function(t,r){var n=this;n.on(t,function e(){n.removeListener(t,e),r.apply(this,arguments)})},tracking.EventEmitter.prototype.removeAllListeners=function(t){return this.events_?(t?delete this.events_[t]:delete this.events_,this):this},tracking.EventEmitter.prototype.removeListener=function(t,r){if("function"!=typeof r)throw new TypeError("Listener must be a function");if(!this.events_)return this;var n=this.listeners(t);if(Array.isArray(n)){var e=n.indexOf(r);if(e<0)return this;n.splice(e,1)}return this},tracking.EventEmitter.prototype.setMaxListeners=function(){throw new Error("Not implemented")}}(),function(){tracking.Canvas={},tracking.Canvas.loadImage=function(t,r,n,e,a,i,o){var c=this,s=new window.Image;s.crossOrigin="*",s.onload=function(){var r=t.getContext("2d");t.width=a,t.height=i,r.drawImage(s,n,e,a,i),o&&o.call(c),s=null},s.src=r}}(),function(){tracking.DisjointSet=function(t){if(void 0===t)throw new Error("DisjointSet length not specified.");this.length=t,this.parent=new Uint32Array(t);for(var r=0;r<t;r++)this.parent[r]=r},tracking.DisjointSet.prototype.length=null,tracking.DisjointSet.prototype.parent=null,tracking.DisjointSet.prototype.find=function(t){return this.parent[t]===t?t:this.parent[t]=this.find(this.parent[t])},tracking.DisjointSet.prototype.union=function(t,r){var n=this.find(t),e=this.find(r);this.parent[n]=e}}(),function(){tracking.Image={},tracking.Image.blur=function(t,r,n,e){if(e=Math.abs(e),e<=1)throw new Error("Diameter should be greater than 1.");for(var a=e/2,i=Math.ceil(e)+(1-Math.ceil(e)%2),o=new Float32Array(i),c=(a+.5)/3,s=c*c,g=1/Math.sqrt(2*Math.PI*s),h=-1/(2*c*c),k=0,f=Math.floor(i/2),u=0;u<i;u++){var l=u-f,m=g*Math.exp(l*l*h);o[u]=m,k+=m}for(var d=0;d<o.length;d++)o[d]/=k;return this.separableConvolve(t,r,n,o,o,!1)},tracking.Image.computeIntegralImage=function(t,r,n,e,a,i,o){if(arguments.length<4)throw new Error("You should specify at least one output array in the order: sum, square, tilted, sobel.");var c;o&&(c=tracking.Image.sobel(t,r,n));for(var s=0;s<n;s++)for(var g=0;g<r;g++){var h=s*r*4+4*g,k=~~(.299*t[h]+.587*t[h+1]+.114*t[h+2]);if(e&&this.computePixelValueSAT_(e,r,s,g,k),a&&this.computePixelValueSAT_(a,r,s,g,k*k),i){var f=h-4*r,u=~~(.299*t[f]+.587*t[f+1]+.114*t[f+2]);this.computePixelValueRSAT_(i,r,s,g,k,u||0)}o&&this.computePixelValueSAT_(o,r,s,g,c[h])}},tracking.Image.computePixelValueRSAT_=function(t,r,n,e,a,i){var o=n*r+e;t[o]=(t[o-r-1]||0)+(t[o-r+1]||0)-(t[o-r-r]||0)+a+i},tracking.Image.computePixelValueSAT_=function(t,r,n,e,a){var i=n*r+e;t[i]=(t[i-r]||0)+(t[i-1]||0)+a-(t[i-r-1]||0)},tracking.Image.grayscale=function(t,r,n,e){for(var a=new Uint8ClampedArray(e?t.length:t.length>>2),i=0,o=0,c=0;c<n;c++)for(var s=0;s<r;s++){var g=.299*t[o]+.587*t[o+1]+.114*t[o+2];a[i++]=g,e&&(a[i++]=g,a[i++]=g,a[i++]=t[o+3]),o+=4}return a},tracking.Image.horizontalConvolve=function(t,r,n,e,a){for(var i=e.length,o=Math.floor(i/2),c=new Float32Array(r*n*4),s=a?1:0,g=0;g<n;g++)for(var h=0;h<r;h++){for(var k=g,f=h,u=4*(g*r+h),l=0,m=0,d=0,v=0,p=0;p<i;p++){var y=k,w=Math.min(r-1,Math.max(0,f+p-o)),T=4*(y*r+w),x=e[p];l+=t[T]*x,m+=t[T+1]*x,d+=t[T+2]*x,v+=t[T+3]*x}c[u]=l,c[u+1]=m,c[u+2]=d,c[u+3]=v+s*(255-v)}return c},tracking.Image.verticalConvolve=function(t,r,n,e,a){for(var i=e.length,o=Math.floor(i/2),c=new Float32Array(r*n*4),s=a?1:0,g=0;g<n;g++)for(var h=0;h<r;h++){for(var k=g,f=h,u=4*(g*r+h),l=0,m=0,d=0,v=0,p=0;p<i;p++){var y=Math.min(n-1,Math.max(0,k+p-o)),w=f,T=4*(y*r+w),x=e[p];l+=t[T]*x,m+=t[T+1]*x,d+=t[T+2]*x,v+=t[T+3]*x}c[u]=l,c[u+1]=m,c[u+2]=d,c[u+3]=v+s*(255-v)}return c},tracking.Image.separableConvolve=function(t,r,n,e,a,i){var o=this.verticalConvolve(t,r,n,a,i);return this.horizontalConvolve(o,r,n,e,i)},tracking.Image.sobel=function(t,r,n){t=this.grayscale(t,r,n,!0);for(var e=new Float32Array(r*n*4),a=new Float32Array([-1,0,1]),i=new Float32Array([1,2,1]),o=this.separableConvolve(t,r,n,a,i),c=this.separableConvolve(t,r,n,i,a),s=0;s<e.length;s+=4){var g=o[s],h=c[s],k=Math.sqrt(h*h+g*g);e[s]=k,e[s+1]=k,e[s+2]=k,e[s+3]=255}return e},tracking.Image.equalizeHist=function(t,r,n){for(var e=new Uint8ClampedArray(t.length),a=new Array(256),i=0;i<256;i++)a[i]=0;for(var i=0;i<t.length;i++)e[i]=t[i],a[t[i]]++;for(var o=a[0],i=0;i<256;i++)a[i]+=o,o=a[i];for(var c=255/t.length,i=0;i<t.length;i++)e[i]=a[t[i]]*c+.5|0;return e}}(),function(){tracking.ViolaJones={},tracking.ViolaJones.REGIONS_OVERLAP=.5,tracking.ViolaJones.classifiers={},tracking.ViolaJones.detect=function(t,r,n,e,a,i,o,c){var s,g=0,h=[],k=new Int32Array(r*n),f=new Int32Array(r*n),u=new Int32Array(r*n);o>0&&(s=new Int32Array(r*n)),tracking.Image.computeIntegralImage(t,r,n,k,f,u,s);for(var l=c[0],m=c[1],d=e*a,v=d*l|0,p=d*m|0;v<r&&p<n;){for(var y=d*i+.5|0,w=0;w<n-p;w+=y)for(var T=0;T<r-v;T+=y)o>0&&this.isTriviallyExcluded(o,s,w,T,r,v,p)||this.evalStages_(c,k,f,u,w,T,r,v,p,d)&&(h[g++]={width:v,height:p,x:T,y:w});d*=a,v=d*l|0,p=d*m|0}return this.mergeRectangles_(h)},tracking.ViolaJones.isTriviallyExcluded=function(t,r,n,e,a,i,o){var c=n*a+e,s=c+i,g=c+o*a,h=g+i,k=(r[c]-r[s]-r[g]+r[h])/(i*o*255);return k<t},tracking.ViolaJones.evalStages_=function(t,r,n,e,a,i,o,c,s,g){var h=1/(c*s),k=a*o+i,f=k+c,u=k+s*o,l=u+c,m=(r[k]-r[f]-r[u]+r[l])*h,d=(n[k]-n[f]-n[u]+n[l])*h-m*m,v=1;d>0&&(v=Math.sqrt(d));for(var p=t.length,y=2;y<p;){for(var w=0,T=t[y++],x=t[y++];x--;){for(var M=0,_=t[y++],C=t[y++],E=0;E<C;E++){var F,B,L,S,A=i+t[y++]*g+.5|0,I=a+t[y++]*g+.5|0,R=t[y++]*g+.5|0,b=t[y++]*g+.5|0,D=t[y++];_?(F=A-b+R+(I+R+b-1)*o,B=A+(I-1)*o,L=A-b+(I+b-1)*o,S=A+R+(I+R-1)*o,M+=(e[F]+e[B]-e[L]-e[S])*D):(F=I*o+A,B=F+R,L=F+b*o,S=L+R,M+=(r[F]-r[B]-r[L]+r[S])*D)}var O=t[y++],N=t[y++],j=t[y++];w+=M*h<O*v?N:j}if(w<T)return!1}return!0},tracking.ViolaJones.mergeRectangles_=function(t){for(var r=new tracking.DisjointSet(t.length),n=0;n<t.length;n++)for(var e=t[n],a=0;a<t.length;a++){var i=t[a];if(tracking.Math.intersectRect(e.x,e.y,e.x+e.width,e.y+e.height,i.x,i.y,i.x+i.width,i.y+i.height)){var o=Math.max(e.x,i.x),c=Math.max(e.y,i.y),s=Math.min(e.x+e.width,i.x+i.width),g=Math.min(e.y+e.height,i.y+i.height),h=(o-s)*(c-g),k=e.width*e.height,f=i.width*i.height;h/(k*(k/f))>=this.REGIONS_OVERLAP&&h/(f*(k/f))>=this.REGIONS_OVERLAP&&r.union(n,a)}}for(var u={},l=0;l<r.length;l++){var m=r.find(l);u[m]?(u[m].total++,u[m].width+=t[l].width,u[m].height+=t[l].height,u[m].x+=t[l].x,u[m].y+=t[l].y):u[m]={total:1,width:t[l].width,height:t[l].height,x:t[l].x,y:t[l].y}}var d=[];return Object.keys(u).forEach(function(t){var r=u[t];d.push({total:r.total,width:r.width/r.total+.5|0,height:r.height/r.total+.5|0,x:r.x/r.total+.5|0,y:r.y/r.total+.5|0})}),d}}(),function(){tracking.Brief={},tracking.Brief.N=512,tracking.Brief.randomImageOffsets_={},tracking.Brief.randomWindowOffsets_=null,tracking.Brief.getDescriptors=function(t,r,n){for(var e=new Int32Array((n.length>>1)*(this.N>>5)),a=0,i=this.getRandomOffsets_(r),o=0,c=0;c<n.length;c+=2)for(var s=r*n[c+1]+n[c],g=0,h=0,k=this.N;h<k;h++)t[i[g++]+s]<t[i[g++]+s]&&(a|=1<<(31&h)),h+1&31||(e[o++]=a,a=0);return e},tracking.Brief.match=function(t,r,n,e){for(var a=t.length>>1,i=n.length>>1,o=new Array(a),c=0;c<a;c++){for(var s=1/0,g=0,h=0;h<i;h++){for(var k=0,f=0,u=this.N>>5;f<u;f++)k+=tracking.Math.hammingWeight(r[c*u+f]^e[h*u+f]);k<s&&(s=k,g=h)}o[c]={index1:c,index2:g,keypoint1:[t[2*c],t[2*c+1]],keypoint2:[n[2*g],n[2*g+1]],confidence:1-s/this.N}}return o},tracking.Brief.reciprocalMatch=function(t,r,n,e){var a=[];if(0===t.length||0===n.length)return a;for(var i=tracking.Brief.match(t,r,n,e),o=tracking.Brief.match(n,e,t,r),c=0;c<i.length;c++)o[i[c].index2].index2===c&&a.push(i[c]);return a},tracking.Brief.getRandomOffsets_=function(t){if(!this.randomWindowOffsets_){for(var r=0,n=new Int32Array(4*this.N),e=0;e<this.N;e++)n[r++]=Math.round(tracking.Math.uniformRandom(-15,16)),n[r++]=Math.round(tracking.Math.uniformRandom(-15,16)),n[r++]=Math.round(tracking.Math.uniformRandom(-15,16)),n[r++]=Math.round(tracking.Math.uniformRandom(-15,16));this.randomWindowOffsets_=n}if(!this.randomImageOffsets_[t]){for(var a=0,i=new Int32Array(2*this.N),o=0;o<this.N;o++)i[a++]=this.randomWindowOffsets_[4*o]*t+this.randomWindowOffsets_[4*o+1],i[a++]=this.randomWindowOffsets_[4*o+2]*t+this.randomWindowOffsets_[4*o+3];this.randomImageOffsets_[t]=i}return this.randomImageOffsets_[t]}}(),function(){tracking.Fast={},tracking.Fast.THRESHOLD=40,tracking.Fast.circles_={},tracking.Fast.findCorners=function(t,r,n,e){var a=this.getCircleOffsets_(r),i=new Int32Array(16),o=[];void 0===e&&(e=this.THRESHOLD);for(var c=3;c<n-3;c++)for(var s=3;s<r-3;s++){for(var g=c*r+s,h=t[g],k=0;k<16;k++)i[k]=t[g+a[k]];this.isCorner(h,i,e)&&(o.push(s,c),s+=3)}return o},tracking.Fast.isBrighter=function(t,r,n){return t-r>n},tracking.Fast.isCorner=function(t,r,n){if(this.isTriviallyExcluded(r,t,n))return!1;for(var e=0;e<16;e++){for(var a=!0,i=!0,o=0;o<9;o++){var c=r[e+o&15];if(!this.isBrighter(t,c,n)&&(i=!1,a===!1))break;if(!this.isDarker(t,c,n)&&(a=!1,i===!1))break}if(i||a)return!0}return!1},tracking.Fast.isDarker=function(t,r,n){return r-t>n},tracking.Fast.isTriviallyExcluded=function(t,r,n){var e=0,a=t[8],i=t[12],o=t[4],c=t[0];return this.isBrighter(c,r,n)&&e++,this.isBrighter(o,r,n)&&e++,this.isBrighter(a,r,n)&&e++,this.isBrighter(i,r,n)&&e++,e<3&&(e=0,this.isDarker(c,r,n)&&e++,this.isDarker(o,r,n)&&e++,this.isDarker(a,r,n)&&e++,this.isDarker(i,r,n)&&e++,e<3)},tracking.Fast.getCircleOffsets_=function(t){if(this.circles_[t])return this.circles_[t];var r=new Int32Array(16);return r[0]=-t-t-t,r[1]=r[0]+1,r[2]=r[1]+t+1,r[3]=r[2]+t+1,r[4]=r[3]+t,r[5]=r[4]+t,r[6]=r[5]+t-1,r[7]=r[6]+t-1,r[8]=r[7]-1,r[9]=r[8]-1,r[10]=r[9]-t-1,r[11]=r[10]-t-1,r[12]=r[11]-t,r[13]=r[12]-t,r[14]=r[13]-t+1,r[15]=r[14]-t+1,this.circles_[t]=r,r}}(),function(){tracking.Math={},tracking.Math.distance=function(t,r,n,e){var a=n-t,i=e-r;return Math.sqrt(a*a+i*i)},tracking.Math.hammingWeight=function(t){return t-=t>>1&1431655765,t=(858993459&t)+(t>>2&858993459),16843009*(t+(t>>4)&252645135)>>24},tracking.Math.uniformRandom=function(t,r){return t+Math.random()*(r-t)},tracking.Math.intersectRect=function(t,r,n,e,a,i,o,c){return!(a>n||o<t||i>e||c<r)}}(),function(){tracking.Matrix={},tracking.Matrix.forEach=function(t,r,n,e,a){a=a||1;for(var i=0;i<n;i+=a)for(var o=0;o<r;o+=a){var c=i*r*4+4*o;e.call(this,t[c],t[c+1],t[c+2],t[c+3],c,i,o)}},tracking.Matrix.sub=function(t,r){for(var n=tracking.Matrix.clone(t),e=0;e<n.length;e++)for(var a=0;a<n[e].length;a++)n[e][a]-=r[e][a];return n},tracking.Matrix.add=function(t,r){for(var n=tracking.Matrix.clone(t),e=0;e<n.length;e++)for(var a=0;a<n[e].length;a++)n[e][a]+=r[e][a];return n},tracking.Matrix.clone=function(t,r,n){r=r||t[0].length,n=n||t.length;for(var e=new Array(n),a=n;a--;){e[a]=new Array(r);for(var i=r;i--;)e[a][i]=t[a][i]}return e},tracking.Matrix.mulScalar=function(t,r){for(var n=tracking.Matrix.clone(r),e=0;e<r.length;e++)for(var a=0;a<r[e].length;a++)n[e][a]*=t;return n},tracking.Matrix.transpose=function(t){for(var r=new Array(t[0].length),n=0;n<t[0].length;n++){r[n]=new Array(t.length);for(var e=0;e<t.length;e++)r[n][e]=t[e][n]}return r},tracking.Matrix.mul=function(t,r){for(var n=new Array(t.length),e=0;e<t.length;e++){n[e]=new Array(r[0].length);for(var a=0;a<r[0].length;a++){n[e][a]=0;for(var i=0;i<t[0].length;i++)n[e][a]+=t[e][i]*r[i][a]}}return n},tracking.Matrix.norm=function(t){for(var r=0,n=0;n<t.length;n++)for(var e=0;e<t[n].length;e++)r+=t[n][e]*t[n][e];return Math.sqrt(r)},tracking.Matrix.calcCovarMatrix=function(t){for(var r=new Array(t.length),n=0;n<t.length;n++){r[n]=[0];for(var e=0;e<t[n].length;e++)r[n][0]+=t[n][e]/t[n].length}for(var a=tracking.Matrix.clone(r),n=0;n<a.length;n++)for(var e=0;e<t[0].length-1;e++)a[n].push(a[n][0]);var i=tracking.Matrix.sub(t,a),o=tracking.Matrix.transpose(i),c=tracking.Matrix.mul(o,i);return[c,r]}}(),function(){tracking.EPnP={},tracking.EPnP.solve=function(t,r,n){}}(),function(){tracking.Tracker=function(){tracking.Tracker.base(this,"constructor")},tracking.inherits(tracking.Tracker,tracking.EventEmitter),tracking.Tracker.prototype.track=function(){}}(),function(){tracking.TrackerTask=function(t){if(tracking.TrackerTask.base(this,"constructor"),!t)throw new Error("Tracker instance not specified.");this.setTracker(t)},tracking.inherits(tracking.TrackerTask,tracking.EventEmitter),tracking.TrackerTask.prototype.tracker_=null,tracking.TrackerTask.prototype.running_=!1,tracking.TrackerTask.prototype.getTracker=function(){return this.tracker_},tracking.TrackerTask.prototype.inRunning=function(){return this.running_},tracking.TrackerTask.prototype.setRunning=function(t){this.running_=t},tracking.TrackerTask.prototype.setTracker=function(t){this.tracker_=t},tracking.TrackerTask.prototype.run=function(){var t=this;if(!this.inRunning())return this.setRunning(!0),this.reemitTrackEvent_=function(r){t.emit("track",r)},this.tracker_.on("track",this.reemitTrackEvent_),this.emit("run"),this},tracking.TrackerTask.prototype.stop=function(){if(this.inRunning())return this.setRunning(!1),this.emit("stop"),this.tracker_.removeListener("track",this.reemitTrackEvent_),this}}(),function(){tracking.ColorTracker=function(t){tracking.ColorTracker.base(this,"constructor"),"string"==typeof t&&(t=[t]),t&&(t.forEach(function(t){if(!tracking.ColorTracker.getColor(t))throw new Error('Color not valid, try `new tracking.ColorTracker("magenta")`.')}),this.setColors(t))},tracking.inherits(tracking.ColorTracker,tracking.Tracker),tracking.ColorTracker.knownColors_={},tracking.ColorTracker.neighbours_={},tracking.ColorTracker.registerColor=function(t,r){tracking.ColorTracker.knownColors_[t]=r},tracking.ColorTracker.getColor=function(t){return tracking.ColorTracker.knownColors_[t]},tracking.ColorTracker.prototype.colors=["magenta"],tracking.ColorTracker.prototype.minDimension=20,tracking.ColorTracker.prototype.maxDimension=1/0,tracking.ColorTracker.prototype.minGroupSize=30,tracking.ColorTracker.prototype.calculateDimensions_=function(t,r){for(var n=-1,e=-1,a=1/0,i=1/0,o=0;o<r;o+=2){var c=t[o],s=t[o+1];c<a&&(a=c),c>n&&(n=c),s<i&&(i=s),s>e&&(e=s)}return{width:n-a,height:e-i,x:a,y:i}},tracking.ColorTracker.prototype.getColors=function(){return this.colors},tracking.ColorTracker.prototype.getMinDimension=function(){return this.minDimension},tracking.ColorTracker.prototype.getMaxDimension=function(){return this.maxDimension},tracking.ColorTracker.prototype.getMinGroupSize=function(){return this.minGroupSize},tracking.ColorTracker.prototype.getNeighboursForWidth_=function(t){if(tracking.ColorTracker.neighbours_[t])return tracking.ColorTracker.neighbours_[t];var r=new Int32Array(8);return r[0]=4*-t,r[1]=4*-t+4,r[2]=4,r[3]=4*t+4,r[4]=4*t,r[5]=4*t-4,r[6]=-4,r[7]=4*-t-4,tracking.ColorTracker.neighbours_[t]=r,r},tracking.ColorTracker.prototype.mergeRectangles_=function(t){for(var r,n=[],e=this.getMinDimension(),a=this.getMaxDimension(),i=0;i<t.length;i++){var o=t[i];r=!0;for(var c=i+1;c<t.length;c++){var s=t[c];if(tracking.Math.intersectRect(o.x,o.y,o.x+o.width,o.y+o.height,s.x,s.y,s.x+s.width,s.y+s.height)){r=!1;var g=Math.min(o.x,s.x),h=Math.min(o.y,s.y),k=Math.max(o.x+o.width,s.x+s.width),f=Math.max(o.y+o.height,s.y+s.height);s.height=f-h,s.width=k-g,s.x=g,s.y=h;break}}r&&o.width>=e&&o.height>=e&&o.width<=a&&o.height<=a&&n.push(o)}return n},tracking.ColorTracker.prototype.setColors=function(t){this.colors=t},tracking.ColorTracker.prototype.setMinDimension=function(t){this.minDimension=t},tracking.ColorTracker.prototype.setMaxDimension=function(t){this.maxDimension=t},tracking.ColorTracker.prototype.setMinGroupSize=function(t){this.minGroupSize=t},tracking.ColorTracker.prototype.track=function(t,r,n){var e=this,a=this.getColors();if(!a)throw new Error('Colors not specified, try `new tracking.ColorTracker("magenta")`.');var i=[];a.forEach(function(a){i=i.concat(e.trackColor_(t,r,n,a))}),this.emit("track",{data:i})},tracking.ColorTracker.prototype.trackColor_=function(n,e,a,i){var o,c,s,g,h,k=tracking.ColorTracker.knownColors_[i],f=new Int32Array(n.length>>2),u=new Int8Array(n.length),l=this.getMinGroupSize(),m=this.getNeighboursForWidth_(e),d=new Int32Array(n.length),v=[],p=-4;if(!k)return v;for(var y=0;y<a;y++)for(var w=0;w<e;w++)if(p+=4,!u[p]){for(o=0,h=-1,d[++h]=p,d[++h]=y,d[++h]=w,u[p]=1;h>=0;)if(s=d[h--],c=d[h--],g=d[h--],k(n[g],n[g+1],n[g+2],n[g+3],g,c,s)){f[o++]=s,f[o++]=c;for(var T=0;T<m.length;T++){var x=g+m[T],M=c+t[T],_=s+r[T];!u[x]&&M>=0&&M<a&&_>=0&&_<e&&(d[++h]=x,d[++h]=M,d[++h]=_,u[x]=1)}}if(o>=l){var C=this.calculateDimensions_(f,o);C&&(C.color=i,v.push(C))}}return this.mergeRectangles_(v)},tracking.ColorTracker.registerColor("cyan",function(t,r,n){var e=50,a=70,i=t-0,o=r-255,c=n-255;return r-t>=e&&n-t>=a||i*i+o*o+c*c<6400}),tracking.ColorTracker.registerColor("magenta",function(t,r,n){var e=50,a=t-255,i=r-0,o=n-255;return t-r>=e&&n-r>=e||a*a+i*i+o*o<19600}),tracking.ColorTracker.registerColor("yellow",function(t,r,n){var e=50,a=t-255,i=r-255,o=n-0;return t-n>=e&&r-n>=e||a*a+i*i+o*o<1e4});var t=new Int32Array([-1,-1,0,1,1,1,0,-1]),r=new Int32Array([0,1,1,1,0,-1,-1,-1])}(),function(){tracking.ObjectTracker=function(t){tracking.ObjectTracker.base(this,"constructor"),t&&(Array.isArray(t)||(t=[t]),Array.isArray(t)&&t.forEach(function(r,n){if("string"==typeof r&&(t[n]=tracking.ViolaJones.classifiers[r]),!t[n])throw new Error('Object classifier not valid, try `new tracking.ObjectTracker("face")`.')})),this.setClassifiers(t)},tracking.inherits(tracking.ObjectTracker,tracking.Tracker),tracking.ObjectTracker.prototype.edgesDensity=.2,tracking.ObjectTracker.prototype.initialScale=1,tracking.ObjectTracker.prototype.scaleFactor=1.25,tracking.ObjectTracker.prototype.stepSize=1.5,tracking.ObjectTracker.prototype.getClassifiers=function(){return this.classifiers},tracking.ObjectTracker.prototype.getEdgesDensity=function(){return this.edgesDensity},tracking.ObjectTracker.prototype.getInitialScale=function(){return this.initialScale},tracking.ObjectTracker.prototype.getScaleFactor=function(){return this.scaleFactor},tracking.ObjectTracker.prototype.getStepSize=function(){return this.stepSize},tracking.ObjectTracker.prototype.track=function(t,r,n){var e=this,a=this.getClassifiers();if(!a)throw new Error('Object classifier not specified, try `new tracking.ObjectTracker("face")`.');var i=[];a.forEach(function(a){i=i.concat(tracking.ViolaJones.detect(t,r,n,e.getInitialScale(),e.getScaleFactor(),e.getStepSize(),e.getEdgesDensity(),a))}),this.emit("track",{data:i})},tracking.ObjectTracker.prototype.setClassifiers=function(t){this.classifiers=t},tracking.ObjectTracker.prototype.setEdgesDensity=function(t){this.edgesDensity=t},tracking.ObjectTracker.prototype.setInitialScale=function(t){this.initialScale=t},tracking.ObjectTracker.prototype.setScaleFactor=function(t){this.scaleFactor=t},tracking.ObjectTracker.prototype.setStepSize=function(t){this.stepSize=t}}(),function(){tracking.LandmarksTracker=function(){tracking.LandmarksTracker.base(this,"constructor")},tracking.inherits(tracking.LandmarksTracker,tracking.ObjectTracker),tracking.LandmarksTracker.prototype.track=function(t,r,n){var e=tracking.ViolaJones.classifiers.face,a=tracking.ViolaJones.detect(t,r,n,this.getInitialScale(),this.getScaleFactor(),this.getStepSize(),this.getEdgesDensity(),e),i=tracking.LBF.align(t,r,n,a);this.emit("track",{data:{faces:a,landmarks:i}})}}(),function(){tracking.LBF={},tracking.LBF.Regressor=function(t){this.maxNumStages=t,this.rfs=new Array(t),this.models=new Array(t);for(var r=0;r<t;r++)this.rfs[r]=new tracking.LBF.RandomForest(r),this.models[r]=tracking.LBF.RegressorData[r].models;this.meanShape=tracking.LBF.LandmarksData},tracking.LBF.Regressor.prototype.predict=function(t,r,n,e){var a=[],i=[],o=[],c=tracking.Matrix.clone(this.meanShape);a.push({data:t,width:r,height:n}),o.push(e),i.push(tracking.LBF.projectShapeToBoundingBox_(c,e));for(var s=0;s<this.maxNumStages;s++){var g=tracking.LBF.Regressor.deriveBinaryFeat(this.rfs[s],a,i,o,c);this.applyGlobalPrediction(g,this.models[s],i,o)}return i[0]},tracking.LBF.Regressor.prototype.applyGlobalPrediction=function(t,r,n,e){for(var a=2*n[0].length,i=new Array(a/2),o=0;o<a/2;o++)i[o]=[0,0];for(var o=0;o<n.length;o++){for(var c=0;c<a;c++){for(var s=0,g=0,h=0;(h=t[o][g].index)!=-1;g++)h<=r[c].nr_feature&&(s+=r[c].data[h-1]*t[o][g].value);c<a/2?i[c][0]=s:i[c-a/2][1]=s}var k=tracking.LBF.similarityTransform_(tracking.LBF.unprojectShapeToBoundingBox_(n[o],e[o]),this.meanShape),f=(tracking.Matrix.transpose(k[0]),tracking.LBF.unprojectShapeToBoundingBox_(n[o],e[o]));f=tracking.Matrix.add(f,i),n[o]=tracking.LBF.projectShapeToBoundingBox_(f,e[o])}},tracking.LBF.Regressor.deriveBinaryFeat=function(t,r,n,e,a){for(var i=new Array(r.length),o=0;o<r.length;o++){var c=t.maxNumTrees*t.landmarkNum+1;i[o]=new Array(c);for(var s=0;s<c;s++)i[o][s]={}}for(var g=1<<t.maxDepth-1,o=0;o<r.length;o++){for(var h=tracking.LBF.unprojectShapeToBoundingBox_(n[o],e[o]),k=tracking.LBF.similarityTransform_(h,a),s=0;s<t.landmarkNum;s++)for(var f=0;f<t.maxNumTrees;f++){var u=tracking.LBF.Regressor.getCodeFromTree(t.rfs[s][f],r[o],n[o],e[o],k[0],k[1]),l=s*t.maxNumTrees+f;i[o][l].index=g*l+u,i[o][l].value=1}i[o][t.landmarkNum*t.maxNumTrees].index=-1,i[o][t.landmarkNum*t.maxNumTrees].value=-1}return i},tracking.LBF.Regressor.getCodeFromTree=function(t,r,n,e,a,i){for(var o=0,c=0;;){var s=Math.cos(t.nodes[o].feats[0])*t.nodes[o].feats[2]*t.maxRadioRadius*e.width,g=Math.sin(t.nodes[o].feats[0])*t.nodes[o].feats[2]*t.maxRadioRadius*e.height,h=Math.cos(t.nodes[o].feats[1])*t.nodes[o].feats[3]*t.maxRadioRadius*e.width,k=Math.sin(t.nodes[o].feats[1])*t.nodes[o].feats[3]*t.maxRadioRadius*e.height,f=a[0][0]*s+a[0][1]*g,u=a[1][0]*s+a[1][1]*g,l=Math.floor(f+n[t.landmarkID][0]),m=Math.floor(u+n[t.landmarkID][1]);l=Math.max(0,Math.min(l,r.height-1)),m=Math.max(0,Math.min(m,r.width-1));var d=a[0][0]*h+a[0][1]*k,v=a[1][0]*h+a[1][1]*k,p=Math.floor(d+n[t.landmarkID][0]),y=Math.floor(v+n[t.landmarkID][1]);p=Math.max(0,Math.min(p,r.height-1)),y=Math.max(0,Math.min(y,r.width-1));var w=Math.floor(r.data[m*r.width+l])-Math.floor(r.data[y*r.width+p]);if(o=w<t.nodes[o].thresh?t.nodes[o].cnodes[0]:t.nodes[o].cnodes[1],1==t.nodes[o].is_leafnode){c=1;for(var T=0;T<t.leafnodes.length;T++){if(t.leafnodes[T]==o)return c;c++}return c}}return c}}(),function(){tracking.LBF.maxNumStages=4,tracking.LBF.regressor_=null,tracking.LBF.align=function(t,r,n,e){null==tracking.LBF.regressor_&&(tracking.LBF.regressor_=new tracking.LBF.Regressor(tracking.LBF.maxNumStages)),t=tracking.Image.grayscale(t,r,n,!1),t=tracking.Image.equalizeHist(t,r,n);var a=new Array(e.length);for(var i in e){e[i].height=e[i].width;var o={};o.startX=e[i].x,o.startY=e[i].y,o.width=e[i].width,o.height=e[i].height,a[i]=tracking.LBF.regressor_.predict(t,r,n,o)}return a},tracking.LBF.unprojectShapeToBoundingBox_=function(t,r){for(var n=new Array(t.length),e=0;e<t.length;e++)n[e]=[(t[e][0]-r.startX)/r.width,(t[e][1]-r.startY)/r.height];return n},tracking.LBF.projectShapeToBoundingBox_=function(t,r){for(var n=new Array(t.length),e=0;e<t.length;e++)n[e]=[t[e][0]*r.width+r.startX,t[e][1]*r.height+r.startY];return n},tracking.LBF.similarityTransform_=function(t,r){for(var n=[0,0],e=[0,0],a=0;a<t.length;a++)n[0]+=t[a][0],n[1]+=t[a][1],e[0]+=r[a][0],e[1]+=r[a][1];n[0]/=t.length,n[1]/=t.length,e[0]/=r.length,e[1]/=r.length;for(var i=tracking.Matrix.clone(t),o=tracking.Matrix.clone(r),a=0;a<t.length;a++)i[a][0]-=n[0],i[a][1]-=n[1],o[a][0]-=e[0],o[a][1]-=e[1];var c,s,g,h,k=tracking.Matrix.calcCovarMatrix(i);c=k[0],g=k[1],k=tracking.Matrix.calcCovarMatrix(o),s=k[0],h=k[1];var f=Math.sqrt(tracking.Matrix.norm(c)),u=Math.sqrt(tracking.Matrix.norm(s)),l=f/u;i=tracking.Matrix.mulScalar(1/f,i),o=tracking.Matrix.mulScalar(1/u,o);for(var m=0,d=0,a=0;a<t.length;a++)m=m+i[a][1]*o[a][0]-i[a][0]*o[a][1],d=d+i[a][0]*o[a][0]+i[a][1]*o[a][1];var v=Math.sqrt(m*m+d*d),p=m/v,y=d/v,w=[[y,-p],[p,y]];return[w,l]},tracking.LBF.RandomForest=function(t){this.maxNumTrees=tracking.LBF.RegressorData[t].max_numtrees,this.landmarkNum=tracking.LBF.RegressorData[t].num_landmark,this.maxDepth=tracking.LBF.RegressorData[t].max_depth,this.stages=tracking.LBF.RegressorData[t].stages,this.rfs=new Array(this.landmarkNum);for(var r=0;r<this.landmarkNum;r++){this.rfs[r]=new Array(this.maxNumTrees);for(var n=0;n<this.maxNumTrees;n++)this.rfs[r][n]=new tracking.LBF.Tree(t,r,n)}},tracking.LBF.Tree=function(t,r,n){var e=tracking.LBF.RegressorData[t].landmarks[r][n];this.maxDepth=e.max_depth,this.maxNumNodes=e.max_numnodes,this.nodes=e.nodes,this.landmarkID=e.landmark_id,this.numLeafnodes=e.num_leafnodes,this.numNodes=e.num_nodes,this.maxNumFeats=e.max_numfeats,this.maxRadioRadius=e.max_radio_radius,this.leafnodes=e.id_leafnodes}}();
\ No newline at end of file
+!(function (t, r) { t.tracking = t.tracking || {}, tracking.inherits = function (t, r) { function n () {}n.prototype = r.prototype, t.superClass_ = r.prototype, t.prototype = new n(), t.prototype.constructor = t, t.base = function (t, n) { var e = Array.prototype.slice.call(arguments, 2); return r.prototype[n].apply(t, e) } }, tracking.initUserMedia_ = function (r, n) { t.navigator.mediaDevices.getUserMedia({ video: !0, audio: !(!n || !n.audio) }).then(function (t) { r.srcObject = t }).catch(function (t) { throw Error('Cannot capture user camera.') }) }, tracking.isNode = function (t) { return t.nodeType || this.isWindow(t) }, tracking.isWindow = function (t) { return !!(t && t.alert && t.document) }, tracking.one = function (t, r) { return this.isNode(t) ? t : (r || document).querySelector(t) }, tracking.track = function (t, r, n) { if (t = tracking.one(t), !t) throw new Error('Element not found, try a different element or selector.'); if (!r) throw new Error('Tracker not specified, try `tracking.track(element, new tracking.FaceTracker())`.'); switch (t.nodeName.toLowerCase()) { case 'canvas':return this.trackCanvas_(t, r, n); case 'img':return this.trackImg_(t, r, n); case 'video':return n && n.camera && this.initUserMedia_(t, n), this.trackVideo_(t, r, n); default:throw new Error('Element not supported, try in a canvas, img, or video.') } }, tracking.trackCanvas_ = function (t, r) { var n = this; var e = new tracking.TrackerTask(r); return e.on('run', function () { n.trackCanvasInternal_(t, r) }), e.run() }, tracking.trackCanvasInternal_ = function (t, r) { var n = t.width; var e = t.height; var a = t.getContext('2d'); var i = a.getImageData(0, 0, n, e); r.track(i.data, n, e) }, tracking.trackImg_ = function (t, r) { var n = t.width; var e = t.height; var a = document.createElement('canvas'); a.width = n, a.height = e; var i = new tracking.TrackerTask(r); return i.on('run', function () { tracking.Canvas.loadImage(a, t.src, 0, 0, n, e, function () { tracking.trackCanvasInternal_(a, r) }) }), i.run() }, tracking.trackVideo_ = function (r, n) { var e; var a; var i = document.createElement('canvas'); var o = i.getContext('2d'); var c = function () { e = r.offsetWidth, a = r.offsetHeight, i.width = e, i.height = a }; c(), r.addEventListener('resize', c); var s; var g = function () { s = t.requestAnimationFrame(function () { if (r.readyState === r.HAVE_ENOUGH_DATA) { try { o.drawImage(r, 0, 0, e, a) } catch (t) {}tracking.trackCanvasInternal_(i, n) }g() }) }; var h = new tracking.TrackerTask(n); return h.on('stop', function () { t.cancelAnimationFrame(s) }), h.on('run', function () { g() }), h.run() }, t.URL || (t.URL = t.URL || t.webkitURL || t.msURL || t.oURL), navigator.getUserMedia || (navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia) }(window)), (function () { tracking.EventEmitter = function () {}, tracking.EventEmitter.prototype.events_ = null, tracking.EventEmitter.prototype.addListener = function (t, r) { if (typeof r !== 'function') throw new TypeError('Listener must be a function'); return this.events_ || (this.events_ = {}), this.emit('newListener', t, r), this.events_[t] || (this.events_[t] = []), this.events_[t].push(r), this }, tracking.EventEmitter.prototype.listeners = function (t) { return this.events_ && this.events_[t] }, tracking.EventEmitter.prototype.emit = function (t) { var r = this.listeners(t); if (r) { for (var n = Array.prototype.slice.call(arguments, 1), e = 0; e < r.length; e++)r[e] && r[e].apply(this, n); return !0 } return !1 }, tracking.EventEmitter.prototype.on = tracking.EventEmitter.prototype.addListener, tracking.EventEmitter.prototype.once = function (t, r) { var n = this; n.on(t, function e () { n.removeListener(t, e), r.apply(this, arguments) }) }, tracking.EventEmitter.prototype.removeAllListeners = function (t) { return this.events_ ? (t ? delete this.events_[t] : delete this.events_, this) : this }, tracking.EventEmitter.prototype.removeListener = function (t, r) { if (typeof r !== 'function') throw new TypeError('Listener must be a function'); if (!this.events_) return this; var n = this.listeners(t); if (Array.isArray(n)) { var e = n.indexOf(r); if (e < 0) return this; n.splice(e, 1) } return this }, tracking.EventEmitter.prototype.setMaxListeners = function () { throw new Error('Not implemented') } }()), (function () { tracking.Canvas = {}, tracking.Canvas.loadImage = function (t, r, n, e, a, i, o) { var c = this; var s = new window.Image(); s.crossOrigin = '*', s.onload = function () { var r = t.getContext('2d'); t.width = a, t.height = i, r.drawImage(s, n, e, a, i), o && o.call(c), s = null }, s.src = r } }()), (function () { tracking.DisjointSet = function (t) { if (void 0 === t) throw new Error('DisjointSet length not specified.'); this.length = t, this.parent = new Uint32Array(t); for (var r = 0; r < t; r++) this.parent[r] = r }, tracking.DisjointSet.prototype.length = null, tracking.DisjointSet.prototype.parent = null, tracking.DisjointSet.prototype.find = function (t) { return this.parent[t] === t ? t : this.parent[t] = this.find(this.parent[t]) }, tracking.DisjointSet.prototype.union = function (t, r) { var n = this.find(t); var e = this.find(r); this.parent[n] = e } }()), (function () { tracking.Image = {}, tracking.Image.blur = function (t, r, n, e) { if (e = Math.abs(e), e <= 1) throw new Error('Diameter should be greater than 1.'); for (var a = e / 2, i = Math.ceil(e) + (1 - Math.ceil(e) % 2), o = new Float32Array(i), c = (a + 0.5) / 3, s = c * c, g = 1 / Math.sqrt(2 * Math.PI * s), h = -1 / (2 * c * c), k = 0, f = Math.floor(i / 2), u = 0; u < i; u++) { var l = u - f; var m = g * Math.exp(l * l * h); o[u] = m, k += m } for (var d = 0; d < o.length; d++)o[d] /= k; return this.separableConvolve(t, r, n, o, o, !1) }, tracking.Image.computeIntegralImage = function (t, r, n, e, a, i, o) { if (arguments.length < 4) throw new Error('You should specify at least one output array in the order: sum, square, tilted, sobel.'); var c; o && (c = tracking.Image.sobel(t, r, n)); for (var s = 0; s < n; s++) for (var g = 0; g < r; g++) { var h = s * r * 4 + 4 * g; var k = ~~(0.299 * t[h] + 0.587 * t[h + 1] + 0.114 * t[h + 2]); if (e && this.computePixelValueSAT_(e, r, s, g, k), a && this.computePixelValueSAT_(a, r, s, g, k * k), i) { var f = h - 4 * r; var u = ~~(0.299 * t[f] + 0.587 * t[f + 1] + 0.114 * t[f + 2]); this.computePixelValueRSAT_(i, r, s, g, k, u || 0) }o && this.computePixelValueSAT_(o, r, s, g, c[h]) } }, tracking.Image.computePixelValueRSAT_ = function (t, r, n, e, a, i) { var o = n * r + e; t[o] = (t[o - r - 1] || 0) + (t[o - r + 1] || 0) - (t[o - r - r] || 0) + a + i }, tracking.Image.computePixelValueSAT_ = function (t, r, n, e, a) { var i = n * r + e; t[i] = (t[i - r] || 0) + (t[i - 1] || 0) + a - (t[i - r - 1] || 0) }, tracking.Image.grayscale = function (t, r, n, e) { for (var a = new Uint8ClampedArray(e ? t.length : t.length >> 2), i = 0, o = 0, c = 0; c < n; c++) for (var s = 0; s < r; s++) { var g = 0.299 * t[o] + 0.587 * t[o + 1] + 0.114 * t[o + 2]; a[i++] = g, e && (a[i++] = g, a[i++] = g, a[i++] = t[o + 3]), o += 4 } return a }, tracking.Image.horizontalConvolve = function (t, r, n, e, a) { for (var i = e.length, o = Math.floor(i / 2), c = new Float32Array(r * n * 4), s = a ? 1 : 0, g = 0; g < n; g++) for (var h = 0; h < r; h++) { for (var k = g, f = h, u = 4 * (g * r + h), l = 0, m = 0, d = 0, v = 0, p = 0; p < i; p++) { var y = k; var w = Math.min(r - 1, Math.max(0, f + p - o)); var T = 4 * (y * r + w); var x = e[p]; l += t[T] * x, m += t[T + 1] * x, d += t[T + 2] * x, v += t[T + 3] * x }c[u] = l, c[u + 1] = m, c[u + 2] = d, c[u + 3] = v + s * (255 - v) } return c }, tracking.Image.verticalConvolve = function (t, r, n, e, a) { for (var i = e.length, o = Math.floor(i / 2), c = new Float32Array(r * n * 4), s = a ? 1 : 0, g = 0; g < n; g++) for (var h = 0; h < r; h++) { for (var k = g, f = h, u = 4 * (g * r + h), l = 0, m = 0, d = 0, v = 0, p = 0; p < i; p++) { var y = Math.min(n - 1, Math.max(0, k + p - o)); var w = f; var T = 4 * (y * r + w); var x = e[p]; l += t[T] * x, m += t[T + 1] * x, d += t[T + 2] * x, v += t[T + 3] * x }c[u] = l, c[u + 1] = m, c[u + 2] = d, c[u + 3] = v + s * (255 - v) } return c }, tracking.Image.separableConvolve = function (t, r, n, e, a, i) { var o = this.verticalConvolve(t, r, n, a, i); return this.horizontalConvolve(o, r, n, e, i) }, tracking.Image.sobel = function (t, r, n) { t = this.grayscale(t, r, n, !0); for (var e = new Float32Array(r * n * 4), a = new Float32Array([-1, 0, 1]), i = new Float32Array([1, 2, 1]), o = this.separableConvolve(t, r, n, a, i), c = this.separableConvolve(t, r, n, i, a), s = 0; s < e.length; s += 4) { var g = o[s]; var h = c[s]; var k = Math.sqrt(h * h + g * g); e[s] = k, e[s + 1] = k, e[s + 2] = k, e[s + 3] = 255 } return e }, tracking.Image.equalizeHist = function (t, r, n) { for (var e = new Uint8ClampedArray(t.length), a = new Array(256), i = 0; i < 256; i++)a[i] = 0; for (var i = 0; i < t.length; i++)e[i] = t[i], a[t[i]]++; for (var o = a[0], i = 0; i < 256; i++)a[i] += o, o = a[i]; for (var c = 255 / t.length, i = 0; i < t.length; i++)e[i] = a[t[i]] * c + 0.5 | 0; return e } }()), (function () { tracking.ViolaJones = {}, tracking.ViolaJones.REGIONS_OVERLAP = 0.5, tracking.ViolaJones.classifiers = {}, tracking.ViolaJones.detect = function (t, r, n, e, a, i, o, c) { var s; var g = 0; var h = []; var k = new Int32Array(r * n); var f = new Int32Array(r * n); var u = new Int32Array(r * n); o > 0 && (s = new Int32Array(r * n)), tracking.Image.computeIntegralImage(t, r, n, k, f, u, s); for (var l = c[0], m = c[1], d = e * a, v = d * l | 0, p = d * m | 0; v < r && p < n;) { for (var y = d * i + 0.5 | 0, w = 0; w < n - p; w += y) for (var T = 0; T < r - v; T += y)o > 0 && this.isTriviallyExcluded(o, s, w, T, r, v, p) || this.evalStages_(c, k, f, u, w, T, r, v, p, d) && (h[g++] = { width: v, height: p, x: T, y: w }); d *= a, v = d * l | 0, p = d * m | 0 } return this.mergeRectangles_(h) }, tracking.ViolaJones.isTriviallyExcluded = function (t, r, n, e, a, i, o) { var c = n * a + e; var s = c + i; var g = c + o * a; var h = g + i; var k = (r[c] - r[s] - r[g] + r[h]) / (i * o * 255); return k < t }, tracking.ViolaJones.evalStages_ = function (t, r, n, e, a, i, o, c, s, g) { var h = 1 / (c * s); var k = a * o + i; var f = k + c; var u = k + s * o; var l = u + c; var m = (r[k] - r[f] - r[u] + r[l]) * h; var d = (n[k] - n[f] - n[u] + n[l]) * h - m * m; var v = 1; d > 0 && (v = Math.sqrt(d)); for (var p = t.length, y = 2; y < p;) { for (var w = 0, T = t[y++], x = t[y++]; x--;) { for (var M = 0, _ = t[y++], C = t[y++], E = 0; E < C; E++) { var F; var B; var L; var S; var A = i + t[y++] * g + 0.5 | 0; var I = a + t[y++] * g + 0.5 | 0; var R = t[y++] * g + 0.5 | 0; var b = t[y++] * g + 0.5 | 0; var D = t[y++]; _ ? (F = A - b + R + (I + R + b - 1) * o, B = A + (I - 1) * o, L = A - b + (I + b - 1) * o, S = A + R + (I + R - 1) * o, M += (e[F] + e[B] - e[L] - e[S]) * D) : (F = I * o + A, B = F + R, L = F + b * o, S = L + R, M += (r[F] - r[B] - r[L] + r[S]) * D) } var O = t[y++]; var N = t[y++]; var j = t[y++]; w += M * h < O * v ? N : j } if (w < T) return !1 } return !0 }, tracking.ViolaJones.mergeRectangles_ = function (t) { for (var r = new tracking.DisjointSet(t.length), n = 0; n < t.length; n++) for (var e = t[n], a = 0; a < t.length; a++) { var i = t[a]; if (tracking.Math.intersectRect(e.x, e.y, e.x + e.width, e.y + e.height, i.x, i.y, i.x + i.width, i.y + i.height)) { var o = Math.max(e.x, i.x); var c = Math.max(e.y, i.y); var s = Math.min(e.x + e.width, i.x + i.width); var g = Math.min(e.y + e.height, i.y + i.height); var h = (o - s) * (c - g); var k = e.width * e.height; var f = i.width * i.height; h / (k * (k / f)) >= this.REGIONS_OVERLAP && h / (f * (k / f)) >= this.REGIONS_OVERLAP && r.union(n, a) } } for (var u = {}, l = 0; l < r.length; l++) { var m = r.find(l); u[m] ? (u[m].total++, u[m].width += t[l].width, u[m].height += t[l].height, u[m].x += t[l].x, u[m].y += t[l].y) : u[m] = { total: 1, width: t[l].width, height: t[l].height, x: t[l].x, y: t[l].y } } var d = []; return Object.keys(u).forEach(function (t) { var r = u[t]; d.push({ total: r.total, width: r.width / r.total + 0.5 | 0, height: r.height / r.total + 0.5 | 0, x: r.x / r.total + 0.5 | 0, y: r.y / r.total + 0.5 | 0 }) }), d } }()), (function () { tracking.Brief = {}, tracking.Brief.N = 512, tracking.Brief.randomImageOffsets_ = {}, tracking.Brief.randomWindowOffsets_ = null, tracking.Brief.getDescriptors = function (t, r, n) { for (var e = new Int32Array((n.length >> 1) * (this.N >> 5)), a = 0, i = this.getRandomOffsets_(r), o = 0, c = 0; c < n.length; c += 2) for (var s = r * n[c + 1] + n[c], g = 0, h = 0, k = this.N; h < k; h++)t[i[g++] + s] < t[i[g++] + s] && (a |= 1 << (31 & h)), h + 1 & 31 || (e[o++] = a, a = 0); return e }, tracking.Brief.match = function (t, r, n, e) { for (var a = t.length >> 1, i = n.length >> 1, o = new Array(a), c = 0; c < a; c++) { for (var s = 1 / 0, g = 0, h = 0; h < i; h++) { for (var k = 0, f = 0, u = this.N >> 5; f < u; f++)k += tracking.Math.hammingWeight(r[c * u + f] ^ e[h * u + f]); k < s && (s = k, g = h) }o[c] = { index1: c, index2: g, keypoint1: [t[2 * c], t[2 * c + 1]], keypoint2: [n[2 * g], n[2 * g + 1]], confidence: 1 - s / this.N } } return o }, tracking.Brief.reciprocalMatch = function (t, r, n, e) { var a = []; if (t.length === 0 || n.length === 0) return a; for (var i = tracking.Brief.match(t, r, n, e), o = tracking.Brief.match(n, e, t, r), c = 0; c < i.length; c++)o[i[c].index2].index2 === c && a.push(i[c]); return a }, tracking.Brief.getRandomOffsets_ = function (t) { if (!this.randomWindowOffsets_) { for (var r = 0, n = new Int32Array(4 * this.N), e = 0; e < this.N; e++)n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)); this.randomWindowOffsets_ = n } if (!this.randomImageOffsets_[t]) { for (var a = 0, i = new Int32Array(2 * this.N), o = 0; o < this.N; o++)i[a++] = this.randomWindowOffsets_[4 * o] * t + this.randomWindowOffsets_[4 * o + 1], i[a++] = this.randomWindowOffsets_[4 * o + 2] * t + this.randomWindowOffsets_[4 * o + 3]; this.randomImageOffsets_[t] = i } return this.randomImageOffsets_[t] } }()), (function () { tracking.Fast = {}, tracking.Fast.THRESHOLD = 40, tracking.Fast.circles_ = {}, tracking.Fast.findCorners = function (t, r, n, e) { var a = this.getCircleOffsets_(r); var i = new Int32Array(16); var o = []; void 0 === e && (e = this.THRESHOLD); for (var c = 3; c < n - 3; c++) for (var s = 3; s < r - 3; s++) { for (var g = c * r + s, h = t[g], k = 0; k < 16; k++)i[k] = t[g + a[k]]; this.isCorner(h, i, e) && (o.push(s, c), s += 3) } return o }, tracking.Fast.isBrighter = function (t, r, n) { return t - r > n }, tracking.Fast.isCorner = function (t, r, n) { if (this.isTriviallyExcluded(r, t, n)) return !1; for (var e = 0; e < 16; e++) { for (var a = !0, i = !0, o = 0; o < 9; o++) { var c = r[e + o & 15]; if (!this.isBrighter(t, c, n) && (i = !1, a === !1)) break; if (!this.isDarker(t, c, n) && (a = !1, i === !1)) break } if (i || a) return !0 } return !1 }, tracking.Fast.isDarker = function (t, r, n) { return r - t > n }, tracking.Fast.isTriviallyExcluded = function (t, r, n) { var e = 0; var a = t[8]; var i = t[12]; var o = t[4]; var c = t[0]; return this.isBrighter(c, r, n) && e++, this.isBrighter(o, r, n) && e++, this.isBrighter(a, r, n) && e++, this.isBrighter(i, r, n) && e++, e < 3 && (e = 0, this.isDarker(c, r, n) && e++, this.isDarker(o, r, n) && e++, this.isDarker(a, r, n) && e++, this.isDarker(i, r, n) && e++, e < 3) }, tracking.Fast.getCircleOffsets_ = function (t) { if (this.circles_[t]) return this.circles_[t]; var r = new Int32Array(16); return r[0] = -t - t - t, r[1] = r[0] + 1, r[2] = r[1] + t + 1, r[3] = r[2] + t + 1, r[4] = r[3] + t, r[5] = r[4] + t, r[6] = r[5] + t - 1, r[7] = r[6] + t - 1, r[8] = r[7] - 1, r[9] = r[8] - 1, r[10] = r[9] - t - 1, r[11] = r[10] - t - 1, r[12] = r[11] - t, r[13] = r[12] - t, r[14] = r[13] - t + 1, r[15] = r[14] - t + 1, this.circles_[t] = r, r } }()), (function () { tracking.Math = {}, tracking.Math.distance = function (t, r, n, e) { var a = n - t; var i = e - r; return Math.sqrt(a * a + i * i) }, tracking.Math.hammingWeight = function (t) { return t -= t >> 1 & 1431655765, t = (858993459 & t) + (t >> 2 & 858993459), 16843009 * (t + (t >> 4) & 252645135) >> 24 }, tracking.Math.uniformRandom = function (t, r) { return t + Math.random() * (r - t) }, tracking.Math.intersectRect = function (t, r, n, e, a, i, o, c) { return !(a > n || o < t || i > e || c < r) } }()), (function () { tracking.Matrix = {}, tracking.Matrix.forEach = function (t, r, n, e, a) { a = a || 1; for (var i = 0; i < n; i += a) for (var o = 0; o < r; o += a) { var c = i * r * 4 + 4 * o; e.call(this, t[c], t[c + 1], t[c + 2], t[c + 3], c, i, o) } }, tracking.Matrix.sub = function (t, r) { for (var n = tracking.Matrix.clone(t), e = 0; e < n.length; e++) for (var a = 0; a < n[e].length; a++)n[e][a] -= r[e][a]; return n }, tracking.Matrix.add = function (t, r) { for (var n = tracking.Matrix.clone(t), e = 0; e < n.length; e++) for (var a = 0; a < n[e].length; a++)n[e][a] += r[e][a]; return n }, tracking.Matrix.clone = function (t, r, n) { r = r || t[0].length, n = n || t.length; for (var e = new Array(n), a = n; a--;) { e[a] = new Array(r); for (var i = r; i--;)e[a][i] = t[a][i] } return e }, tracking.Matrix.mulScalar = function (t, r) { for (var n = tracking.Matrix.clone(r), e = 0; e < r.length; e++) for (var a = 0; a < r[e].length; a++)n[e][a] *= t; return n }, tracking.Matrix.transpose = function (t) { for (var r = new Array(t[0].length), n = 0; n < t[0].length; n++) { r[n] = new Array(t.length); for (var e = 0; e < t.length; e++)r[n][e] = t[e][n] } return r }, tracking.Matrix.mul = function (t, r) { for (var n = new Array(t.length), e = 0; e < t.length; e++) { n[e] = new Array(r[0].length); for (var a = 0; a < r[0].length; a++) { n[e][a] = 0; for (var i = 0; i < t[0].length; i++)n[e][a] += t[e][i] * r[i][a] } } return n }, tracking.Matrix.norm = function (t) { for (var r = 0, n = 0; n < t.length; n++) for (var e = 0; e < t[n].length; e++)r += t[n][e] * t[n][e]; return Math.sqrt(r) }, tracking.Matrix.calcCovarMatrix = function (t) { for (var r = new Array(t.length), n = 0; n < t.length; n++) { r[n] = [0]; for (var e = 0; e < t[n].length; e++)r[n][0] += t[n][e] / t[n].length } for (var a = tracking.Matrix.clone(r), n = 0; n < a.length; n++) for (var e = 0; e < t[0].length - 1; e++)a[n].push(a[n][0]); var i = tracking.Matrix.sub(t, a); var o = tracking.Matrix.transpose(i); var c = tracking.Matrix.mul(o, i); return [c, r] } }()), (function () { tracking.EPnP = {}, tracking.EPnP.solve = function (t, r, n) {} }()), (function () { tracking.Tracker = function () { tracking.Tracker.base(this, 'constructor') }, tracking.inherits(tracking.Tracker, tracking.EventEmitter), tracking.Tracker.prototype.track = function () {} }()), (function () { tracking.TrackerTask = function (t) { if (tracking.TrackerTask.base(this, 'constructor'), !t) throw new Error('Tracker instance not specified.'); this.setTracker(t) }, tracking.inherits(tracking.TrackerTask, tracking.EventEmitter), tracking.TrackerTask.prototype.tracker_ = null, tracking.TrackerTask.prototype.running_ = !1, tracking.TrackerTask.prototype.getTracker = function () { return this.tracker_ }, tracking.TrackerTask.prototype.inRunning = function () { return this.running_ }, tracking.TrackerTask.prototype.setRunning = function (t) { this.running_ = t }, tracking.TrackerTask.prototype.setTracker = function (t) { this.tracker_ = t }, tracking.TrackerTask.prototype.run = function () { var t = this; if (!this.inRunning()) return this.setRunning(!0), this.reemitTrackEvent_ = function (r) { t.emit('track', r) }, this.tracker_.on('track', this.reemitTrackEvent_), this.emit('run'), this }, tracking.TrackerTask.prototype.stop = function () { if (this.inRunning()) return this.setRunning(!1), this.emit('stop'), this.tracker_.removeListener('track', this.reemitTrackEvent_), this } }()), (function () { tracking.ColorTracker = function (t) { tracking.ColorTracker.base(this, 'constructor'), typeof t === 'string' && (t = [t]), t && (t.forEach(function (t) { if (!tracking.ColorTracker.getColor(t)) throw new Error('Color not valid, try `new tracking.ColorTracker("magenta")`.') }), this.setColors(t)) }, tracking.inherits(tracking.ColorTracker, tracking.Tracker), tracking.ColorTracker.knownColors_ = {}, tracking.ColorTracker.neighbours_ = {}, tracking.ColorTracker.registerColor = function (t, r) { tracking.ColorTracker.knownColors_[t] = r }, tracking.ColorTracker.getColor = function (t) { return tracking.ColorTracker.knownColors_[t] }, tracking.ColorTracker.prototype.colors = ['magenta'], tracking.ColorTracker.prototype.minDimension = 20, tracking.ColorTracker.prototype.maxDimension = 1 / 0, tracking.ColorTracker.prototype.minGroupSize = 30, tracking.ColorTracker.prototype.calculateDimensions_ = function (t, r) { for (var n = -1, e = -1, a = 1 / 0, i = 1 / 0, o = 0; o < r; o += 2) { var c = t[o]; var s = t[o + 1]; c < a && (a = c), c > n && (n = c), s < i && (i = s), s > e && (e = s) } return { width: n - a, height: e - i, x: a, y: i } }, tracking.ColorTracker.prototype.getColors = function () { return this.colors }, tracking.ColorTracker.prototype.getMinDimension = function () { return this.minDimension }, tracking.ColorTracker.prototype.getMaxDimension = function () { return this.maxDimension }, tracking.ColorTracker.prototype.getMinGroupSize = function () { return this.minGroupSize }, tracking.ColorTracker.prototype.getNeighboursForWidth_ = function (t) { if (tracking.ColorTracker.neighbours_[t]) return tracking.ColorTracker.neighbours_[t]; var r = new Int32Array(8); return r[0] = 4 * -t, r[1] = 4 * -t + 4, r[2] = 4, r[3] = 4 * t + 4, r[4] = 4 * t, r[5] = 4 * t - 4, r[6] = -4, r[7] = 4 * -t - 4, tracking.ColorTracker.neighbours_[t] = r, r }, tracking.ColorTracker.prototype.mergeRectangles_ = function (t) { for (var r, n = [], e = this.getMinDimension(), a = this.getMaxDimension(), i = 0; i < t.length; i++) { var o = t[i]; r = !0; for (var c = i + 1; c < t.length; c++) { var s = t[c]; if (tracking.Math.intersectRect(o.x, o.y, o.x + o.width, o.y + o.height, s.x, s.y, s.x + s.width, s.y + s.height)) { r = !1; var g = Math.min(o.x, s.x); var h = Math.min(o.y, s.y); var k = Math.max(o.x + o.width, s.x + s.width); var f = Math.max(o.y + o.height, s.y + s.height); s.height = f - h, s.width = k - g, s.x = g, s.y = h; break } }r && o.width >= e && o.height >= e && o.width <= a && o.height <= a && n.push(o) } return n }, tracking.ColorTracker.prototype.setColors = function (t) { this.colors = t }, tracking.ColorTracker.prototype.setMinDimension = function (t) { this.minDimension = t }, tracking.ColorTracker.prototype.setMaxDimension = function (t) { this.maxDimension = t }, tracking.ColorTracker.prototype.setMinGroupSize = function (t) { this.minGroupSize = t }, tracking.ColorTracker.prototype.track = function (t, r, n) { var e = this; var a = this.getColors(); if (!a) throw new Error('Colors not specified, try `new tracking.ColorTracker("magenta")`.'); var i = []; a.forEach(function (a) { i = i.concat(e.trackColor_(t, r, n, a)) }), this.emit('track', { data: i }) }, tracking.ColorTracker.prototype.trackColor_ = function (n, e, a, i) { var o; var c; var s; var g; var h; var k = tracking.ColorTracker.knownColors_[i]; var f = new Int32Array(n.length >> 2); var u = new Int8Array(n.length); var l = this.getMinGroupSize(); var m = this.getNeighboursForWidth_(e); var d = new Int32Array(n.length); var v = []; var p = -4; if (!k) return v; for (var y = 0; y < a; y++) for (var w = 0; w < e; w++) if (p += 4, !u[p]) { for (o = 0, h = -1, d[++h] = p, d[++h] = y, d[++h] = w, u[p] = 1; h >= 0;) if (s = d[h--], c = d[h--], g = d[h--], k(n[g], n[g + 1], n[g + 2], n[g + 3], g, c, s)) { f[o++] = s, f[o++] = c; for (var T = 0; T < m.length; T++) { var x = g + m[T]; var M = c + t[T]; var _ = s + r[T]; !u[x] && M >= 0 && M < a && _ >= 0 && _ < e && (d[++h] = x, d[++h] = M, d[++h] = _, u[x] = 1) } } if (o >= l) { var C = this.calculateDimensions_(f, o); C && (C.color = i, v.push(C)) } } return this.mergeRectangles_(v) }, tracking.ColorTracker.registerColor('cyan', function (t, r, n) { var e = 50; var a = 70; var i = t - 0; var o = r - 255; var c = n - 255; return r - t >= e && n - t >= a || i * i + o * o + c * c < 6400 }), tracking.ColorTracker.registerColor('magenta', function (t, r, n) { var e = 50; var a = t - 255; var i = r - 0; var o = n - 255; return t - r >= e && n - r >= e || a * a + i * i + o * o < 19600 }), tracking.ColorTracker.registerColor('yellow', function (t, r, n) { var e = 50; var a = t - 255; var i = r - 255; var o = n - 0; return t - n >= e && r - n >= e || a * a + i * i + o * o < 1e4 }); var t = new Int32Array([-1, -1, 0, 1, 1, 1, 0, -1]); var r = new Int32Array([0, 1, 1, 1, 0, -1, -1, -1]) }()), (function () { tracking.ObjectTracker = function (t) { tracking.ObjectTracker.base(this, 'constructor'), t && (Array.isArray(t) || (t = [t]), Array.isArray(t) && t.forEach(function (r, n) { if (typeof r === 'string' && (t[n] = tracking.ViolaJones.classifiers[r]), !t[n]) throw new Error('Object classifier not valid, try `new tracking.ObjectTracker("face")`.') })), this.setClassifiers(t) }, tracking.inherits(tracking.ObjectTracker, tracking.Tracker), tracking.ObjectTracker.prototype.edgesDensity = 0.2, tracking.ObjectTracker.prototype.initialScale = 1, tracking.ObjectTracker.prototype.scaleFactor = 1.25, tracking.ObjectTracker.prototype.stepSize = 1.5, tracking.ObjectTracker.prototype.getClassifiers = function () { return this.classifiers }, tracking.ObjectTracker.prototype.getEdgesDensity = function () { return this.edgesDensity }, tracking.ObjectTracker.prototype.getInitialScale = function () { return this.initialScale }, tracking.ObjectTracker.prototype.getScaleFactor = function () { return this.scaleFactor }, tracking.ObjectTracker.prototype.getStepSize = function () { return this.stepSize }, tracking.ObjectTracker.prototype.track = function (t, r, n) { var e = this; var a = this.getClassifiers(); if (!a) throw new Error('Object classifier not specified, try `new tracking.ObjectTracker("face")`.'); var i = []; a.forEach(function (a) { i = i.concat(tracking.ViolaJones.detect(t, r, n, e.getInitialScale(), e.getScaleFactor(), e.getStepSize(), e.getEdgesDensity(), a)) }), this.emit('track', { data: i }) }, tracking.ObjectTracker.prototype.setClassifiers = function (t) { this.classifiers = t }, tracking.ObjectTracker.prototype.setEdgesDensity = function (t) { this.edgesDensity = t }, tracking.ObjectTracker.prototype.setInitialScale = function (t) { this.initialScale = t }, tracking.ObjectTracker.prototype.setScaleFactor = function (t) { this.scaleFactor = t }, tracking.ObjectTracker.prototype.setStepSize = function (t) { this.stepSize = t } }()), (function () { tracking.LandmarksTracker = function () { tracking.LandmarksTracker.base(this, 'constructor') }, tracking.inherits(tracking.LandmarksTracker, tracking.ObjectTracker), tracking.LandmarksTracker.prototype.track = function (t, r, n) { var e = tracking.ViolaJones.classifiers.face; var a = tracking.ViolaJones.detect(t, r, n, this.getInitialScale(), this.getScaleFactor(), this.getStepSize(), this.getEdgesDensity(), e); var i = tracking.LBF.align(t, r, n, a); this.emit('track', { data: { faces: a, landmarks: i } }) } }()), (function () { tracking.LBF = {}, tracking.LBF.Regressor = function (t) { this.maxNumStages = t, this.rfs = new Array(t), this.models = new Array(t); for (var r = 0; r < t; r++) this.rfs[r] = new tracking.LBF.RandomForest(r), this.models[r] = tracking.LBF.RegressorData[r].models; this.meanShape = tracking.LBF.LandmarksData }, tracking.LBF.Regressor.prototype.predict = function (t, r, n, e) { var a = []; var i = []; var o = []; var c = tracking.Matrix.clone(this.meanShape); a.push({ data: t, width: r, height: n }), o.push(e), i.push(tracking.LBF.projectShapeToBoundingBox_(c, e)); for (var s = 0; s < this.maxNumStages; s++) { var g = tracking.LBF.Regressor.deriveBinaryFeat(this.rfs[s], a, i, o, c); this.applyGlobalPrediction(g, this.models[s], i, o) } return i[0] }, tracking.LBF.Regressor.prototype.applyGlobalPrediction = function (t, r, n, e) { for (var a = 2 * n[0].length, i = new Array(a / 2), o = 0; o < a / 2; o++)i[o] = [0, 0]; for (var o = 0; o < n.length; o++) { for (var c = 0; c < a; c++) { for (var s = 0, g = 0, h = 0; (h = t[o][g].index) != -1; g++)h <= r[c].nr_feature && (s += r[c].data[h - 1] * t[o][g].value); c < a / 2 ? i[c][0] = s : i[c - a / 2][1] = s } var k = tracking.LBF.similarityTransform_(tracking.LBF.unprojectShapeToBoundingBox_(n[o], e[o]), this.meanShape); var f = (tracking.Matrix.transpose(k[0]), tracking.LBF.unprojectShapeToBoundingBox_(n[o], e[o])); f = tracking.Matrix.add(f, i), n[o] = tracking.LBF.projectShapeToBoundingBox_(f, e[o]) } }, tracking.LBF.Regressor.deriveBinaryFeat = function (t, r, n, e, a) { for (var i = new Array(r.length), o = 0; o < r.length; o++) { var c = t.maxNumTrees * t.landmarkNum + 1; i[o] = new Array(c); for (var s = 0; s < c; s++)i[o][s] = {} } for (var g = 1 << t.maxDepth - 1, o = 0; o < r.length; o++) { for (var h = tracking.LBF.unprojectShapeToBoundingBox_(n[o], e[o]), k = tracking.LBF.similarityTransform_(h, a), s = 0; s < t.landmarkNum; s++) for (var f = 0; f < t.maxNumTrees; f++) { var u = tracking.LBF.Regressor.getCodeFromTree(t.rfs[s][f], r[o], n[o], e[o], k[0], k[1]); var l = s * t.maxNumTrees + f; i[o][l].index = g * l + u, i[o][l].value = 1 }i[o][t.landmarkNum * t.maxNumTrees].index = -1, i[o][t.landmarkNum * t.maxNumTrees].value = -1 } return i }, tracking.LBF.Regressor.getCodeFromTree = function (t, r, n, e, a, i) { for (var o = 0, c = 0; ;) { var s = Math.cos(t.nodes[o].feats[0]) * t.nodes[o].feats[2] * t.maxRadioRadius * e.width; var g = Math.sin(t.nodes[o].feats[0]) * t.nodes[o].feats[2] * t.maxRadioRadius * e.height; var h = Math.cos(t.nodes[o].feats[1]) * t.nodes[o].feats[3] * t.maxRadioRadius * e.width; var k = Math.sin(t.nodes[o].feats[1]) * t.nodes[o].feats[3] * t.maxRadioRadius * e.height; var f = a[0][0] * s + a[0][1] * g; var u = a[1][0] * s + a[1][1] * g; var l = Math.floor(f + n[t.landmarkID][0]); var m = Math.floor(u + n[t.landmarkID][1]); l = Math.max(0, Math.min(l, r.height - 1)), m = Math.max(0, Math.min(m, r.width - 1)); var d = a[0][0] * h + a[0][1] * k; var v = a[1][0] * h + a[1][1] * k; var p = Math.floor(d + n[t.landmarkID][0]); var y = Math.floor(v + n[t.landmarkID][1]); p = Math.max(0, Math.min(p, r.height - 1)), y = Math.max(0, Math.min(y, r.width - 1)); var w = Math.floor(r.data[m * r.width + l]) - Math.floor(r.data[y * r.width + p]); if (o = w < t.nodes[o].thresh ? t.nodes[o].cnodes[0] : t.nodes[o].cnodes[1], t.nodes[o].is_leafnode == 1) { c = 1; for (var T = 0; T < t.leafnodes.length; T++) { if (t.leafnodes[T] == o) return c; c++ } return c } } return c } }()), (function () { tracking.LBF.maxNumStages = 4, tracking.LBF.regressor_ = null, tracking.LBF.align = function (t, r, n, e) { tracking.LBF.regressor_ == null && (tracking.LBF.regressor_ = new tracking.LBF.Regressor(tracking.LBF.maxNumStages)), t = tracking.Image.grayscale(t, r, n, !1), t = tracking.Image.equalizeHist(t, r, n); var a = new Array(e.length); for (var i in e) { e[i].height = e[i].width; var o = {}; o.startX = e[i].x, o.startY = e[i].y, o.width = e[i].width, o.height = e[i].height, a[i] = tracking.LBF.regressor_.predict(t, r, n, o) } return a }, tracking.LBF.unprojectShapeToBoundingBox_ = function (t, r) { for (var n = new Array(t.length), e = 0; e < t.length; e++)n[e] = [(t[e][0] - r.startX) / r.width, (t[e][1] - r.startY) / r.height]; return n }, tracking.LBF.projectShapeToBoundingBox_ = function (t, r) { for (var n = new Array(t.length), e = 0; e < t.length; e++)n[e] = [t[e][0] * r.width + r.startX, t[e][1] * r.height + r.startY]; return n }, tracking.LBF.similarityTransform_ = function (t, r) { for (var n = [0, 0], e = [0, 0], a = 0; a < t.length; a++)n[0] += t[a][0], n[1] += t[a][1], e[0] += r[a][0], e[1] += r[a][1]; n[0] /= t.length, n[1] /= t.length, e[0] /= r.length, e[1] /= r.length; for (var i = tracking.Matrix.clone(t), o = tracking.Matrix.clone(r), a = 0; a < t.length; a++)i[a][0] -= n[0], i[a][1] -= n[1], o[a][0] -= e[0], o[a][1] -= e[1]; var c; var s; var g; var h; var k = tracking.Matrix.calcCovarMatrix(i); c = k[0], g = k[1], k = tracking.Matrix.calcCovarMatrix(o), s = k[0], h = k[1]; var f = Math.sqrt(tracking.Matrix.norm(c)); var u = Math.sqrt(tracking.Matrix.norm(s)); var l = f / u; i = tracking.Matrix.mulScalar(1 / f, i), o = tracking.Matrix.mulScalar(1 / u, o); for (var m = 0, d = 0, a = 0; a < t.length; a++)m = m + i[a][1] * o[a][0] - i[a][0] * o[a][1], d = d + i[a][0] * o[a][0] + i[a][1] * o[a][1]; var v = Math.sqrt(m * m + d * d); var p = m / v; var y = d / v; var w = [[y, -p], [p, y]]; return [w, l] }, tracking.LBF.RandomForest = function (t) { this.maxNumTrees = tracking.LBF.RegressorData[t].max_numtrees, this.landmarkNum = tracking.LBF.RegressorData[t].num_landmark, this.maxDepth = tracking.LBF.RegressorData[t].max_depth, this.stages = tracking.LBF.RegressorData[t].stages, this.rfs = new Array(this.landmarkNum); for (var r = 0; r < this.landmarkNum; r++) { this.rfs[r] = new Array(this.maxNumTrees); for (var n = 0; n < this.maxNumTrees; n++) this.rfs[r][n] = new tracking.LBF.Tree(t, r, n) } }, tracking.LBF.Tree = function (t, r, n) { var e = tracking.LBF.RegressorData[t].landmarks[r][n]; this.maxDepth = e.max_depth, this.maxNumNodes = e.max_numnodes, this.nodes = e.nodes, this.landmarkID = e.landmark_id, this.numLeafnodes = e.num_leafnodes, this.numNodes = e.num_nodes, this.maxNumFeats = e.max_numfeats, this.maxRadioRadius = e.max_radio_radius, this.leafnodes = e.id_leafnodes } }())
diff --git a/src/main.js b/src/main.js
index 2196dac..9b4e44a 100644
--- a/src/main.js
+++ b/src/main.js
@@ -1,13 +1,13 @@
-import Vue from 'vue'
+import Vue from 'vue'
 import App from './App.vue'
 import router from './router'
 import Vant from 'vant'
 import 'vant/lib/index.css'
 import './styles/base.css'
 
-import "./components/tracking/tracking-min.js";
-import "./components/tracking/face-min.js";
-import "./components/tracking/stats.min.js";
+import './components/tracking/tracking-min.js'
+import './components/tracking/face-min.js'
+import './components/tracking/stats.min.js'
 
 function installSpmCompatPatch () {
   const safeHasAttribute = function () { return false }
diff --git a/src/utils/auth.js b/src/utils/auth.js
index c6e7258..89f6f56 100644
--- a/src/utils/auth.js
+++ b/src/utils/auth.js
@@ -1,4 +1,4 @@
-import { AUTH_KEY, TOKEN_KEY, USER_KEY } from '@/constants/auth'
+import { AUTH_KEY, TOKEN_KEY, USER_KEY } from '@/constants/auth'
 
 export function isAuthed () {
   return localStorage.getItem(AUTH_KEY) === '1'
diff --git a/src/views/DebugApi.vue b/src/views/DebugApi.vue
index 84a8af6..9d94590 100644
--- a/src/views/DebugApi.vue
+++ b/src/views/DebugApi.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div class="page page-home-v2">
     <header class="mp-nav mp-nav-light">
       <div class="mp-title-row">
diff --git a/src/views/Home.vue b/src/views/Home.vue
index dd7b603..00915be 100644
--- a/src/views/Home.vue
+++ b/src/views/Home.vue
@@ -655,13 +655,14 @@ export default {
           res = await rechargeTradeQuery({ outTradeNo: outTradeNo })
         }
         var payload = res && res.data ? res.data : {}
-        var message = payload.message || '回调处理完成'
-        var isBizSuccess = Number(payload.status) === 200
-        var isPaySuccess = payload && payload.data && Object.prototype.hasOwnProperty.call(payload.data, 'isPay')
-          ? payload.data.isPay === true
-          : true
         var data = payload && payload.data ? payload.data : {}
-        if (isBizSuccess && isPaySuccess && data.bill) {
+        var message = data.message || payload.message || '回调处理完成'
+        var isBizSuccess = Number(payload.status) === 200
+        var isPaySuccess = data && data.isPay === true
+        var callbackTradeNo = String(outTradeNo || '')
+        var resultTradeNo = String(data.out_trade_no || data.outTradeNo || '')
+        var hasMatchedBill = !!(data.bill && resultTradeNo && resultTradeNo === callbackTradeNo)
+        if (isBizSuccess && isPaySuccess && hasMatchedBill) {
           this.showPaymentSuccess(data)
           await this.refreshAssetBalance()
           await this.fetchHomeBills()
diff --git a/src/views/Login.vue b/src/views/Login.vue
index 9d19558..b690645 100644
--- a/src/views/Login.vue
+++ b/src/views/Login.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div class="page page-login">
     <div class="login-card">
       <h1>移动端管理系统</h1>
diff --git a/src/views/account/personalAccount.vue b/src/views/account/personalAccount.vue
index 28edc38..234f608 100644
--- a/src/views/account/personalAccount.vue
+++ b/src/views/account/personalAccount.vue
@@ -272,7 +272,7 @@ export default {
         alipay_offline: '线下支付宝支付',
         wechat_offline: '线下微信支付',
         alipay: '线上支付宝支付',
-        psbc:'邮储支付'
+        psbc: '邮储支付'
       }
     }
   },
@@ -282,7 +282,7 @@ export default {
         { name: '全部', type: 'all', scene: 0 },
         { name: '充值', type: 'recharge', scene: 10 },
         { name: '消费', type: 'consume', scene: 20 },
-        { name: '退款', type: 'refund', scene: 40 },
+        { name: '退款', type: 'refund', scene: 40 }
         // { name: '提现', type: 'withdraw', scene: 50 }
       ]
     }
@@ -366,7 +366,6 @@ export default {
         this.total = Number(listWrap.total || 0)
         this.billList = this.page === 1 ? mapped : this.billList.concat(mapped)
         this.finished = this.page >= this.lastPage || this.billList.length >= this.total
-        
       } catch (error) {
         console.error('加载账单失败:', error)
         this.$toast.fail('加载失败，请稍后重试')
diff --git a/src/views/account/subsidyAccount.vue b/src/views/account/subsidyAccount.vue
index f00c7f6..de860f7 100644
--- a/src/views/account/subsidyAccount.vue
+++ b/src/views/account/subsidyAccount.vue
@@ -240,7 +240,7 @@ export default {
         alipay_offline: '支付宝线下',
         wechat_offline: '微信线下',
         alipay: '支付宝支付',
-        psbc:'邮储支付'
+        psbc: '邮储支付'
       }
     }
   },
diff --git a/src/views/addproject/AddProject.vue b/src/views/addproject/AddProject.vue
index b84ca3e..d3c4c39 100644
--- a/src/views/addproject/AddProject.vue
+++ b/src/views/addproject/AddProject.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div class="add-project-page">
     <header class="mp-nav mp-nav-light">
       <div class="mp-title-row">
diff --git a/src/views/addproject/SwitchProject.vue b/src/views/addproject/SwitchProject.vue
index f6c305a..62a35fa 100644
--- a/src/views/addproject/SwitchProject.vue
+++ b/src/views/addproject/SwitchProject.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div class="switch-page">
     <header class="mp-nav mp-nav-light">
       <div class="mp-title-row">
@@ -55,7 +55,7 @@ import { relatedUsers, switchLoginUser } from '@/api/auth'
 
 function getDefaultProjects () {
   return [
-    
+
   ]
 }
 
diff --git a/src/views/aiFace/aifaceEntry.vue b/src/views/aiFace/aifaceEntry.vue
index 167fa38..a7a47a9 100644
--- a/src/views/aiFace/aifaceEntry.vue
+++ b/src/views/aiFace/aifaceEntry.vue
@@ -58,24 +58,24 @@ export default {
     }
   },
 
-  data() {
+  data () {
     return {
       iconBack,
-      imgResult:'',
-      show:false,
-      herd_img:'',
+      imgResult: '',
+      show: false,
+      herd_img: '',
       defaultFaceUrl: facePng,
       currentMobile: ''
-    };
+    }
   },
 
-  mounted() {
+  mounted () {
     this.currentMobile = this.$route.query.mobile || ''
-    this.getsexInfo ()
+    this.getsexInfo()
   },
 
   methods: {
-    async upload(){
+    async upload () {
       this.show = true
       try {
         const staffUuid = getFaceStaffUuid()
@@ -117,23 +117,23 @@ export default {
         this.show = false
       }
     },
-    again(){
-      console.log('重新');
+    again () {
+      console.log('重新')
     },
-    changePic(e){
-      console.log(e);
-      let fileObj = e.target;
-      let file = fileObj.files[0];
-      let reader = new FileReader();
-      reader.readAsDataURL(file);
-      reader.onload = (e)=> {
-        const imgResult = e.target.result;
+    changePic (e) {
+      console.log(e)
+      const fileObj = e.target
+      const file = fileObj.files[0]
+      const reader = new FileReader()
+      reader.readAsDataURL(file)
+      reader.onload = (e) => {
+        const imgResult = e.target.result
         // /可预览的图片地址
-        var strImage = imgResult.replace(/^data:image\/[a-z]+;base64,/,"");
+        var strImage = imgResult.replace(/^data:image\/[a-z]+;base64,/, '')
         this.herd_img = strImage
       }
     },
-    base64toFile(base64String, fileName) {
+    base64toFile (base64String, fileName) {
       const dataArr = base64String.split(',')
       const fileBody = dataArr[1] ? dataArr[1] : base64String
       const byteString = atob(fileBody)
@@ -145,7 +145,7 @@ export default {
         type: 'image/png'
       })
     },
-     // 获取人员信息
+    // 获取人员信息
     async getsexInfo () {
       try {
         const staffUuid = getFaceStaffUuid()
@@ -168,8 +168,8 @@ export default {
         console.error(error)
       }
     }
-  },
-};
+  }
+}
 
 </script>
 
@@ -211,7 +211,7 @@ export default {
 }
 
 .wj_fil{
-  width:100%; 
+  width:100%;
   height:50px;
   line-height: 700px;
   overflow: hidden;
diff --git a/src/views/aiFace/aifaceRecognition.vue b/src/views/aiFace/aifaceRecognition.vue
index 06beaf6..34efa24 100644
--- a/src/views/aiFace/aifaceRecognition.vue
+++ b/src/views/aiFace/aifaceRecognition.vue
@@ -79,556 +79,554 @@ import iconBack from '@/assets/titlebar/icon_blk_return@2x.png'
 import { saveFaceByMobile } from '@/api/face'
 import { saveFaceProfile } from '@/utils/faceProfile'
 
-let timer = null // 定时器
-let photoTimer = null // 拍照定时器
+const timer = null // 定时器
+const photoTimer = null // 拍照定时器
 let faceDetected = false // 是否检测到人脸
 let shouldTakePhoto = false // 是否应该拍照
-  // 引入trackingjs所需文件
-  // import tracking from "../../components/tracking/tracking-min";
-  // import '../../components/tracking/face-min'
-  export default {
-    name: "faceTracking",
-    props:{
-    },
-    data() {
+// 引入trackingjs所需文件
+// import tracking from "../../components/tracking/tracking-min";
+// import '../../components/tracking/face-min'
+export default {
+  name: 'faceTracking',
+  props: {
+  },
+  data () {
+    return {
+      iconBack,
+      takePhotoFlag: false,
+      bursterror: false, // 原生相机按钮
+      add: 0,
+      currentRate: 0,
+      look: '',
+      maskShow: false, // 遮罩层
+      progressBar: false, // 动态进度条
+      captureProgress: 0, // 0-100 的拍照充能进度
+      captureDuration: 2000, // 保持不动 2 秒完成拍照
+      progressTimer: null,
+      progressStartedAt: 0,
+      herd_img: '', // 原生相机图片回显
+      zdyxjOa: true, // 把设备相机隐掉
+      userAgent: '', // 设备型号
+      URL: null,
+      streamIns: null, // 视频流
+      showContainer: true, // 显示
+      videoReady: false, // 视频流就绪后再显示，避免安卓首屏闪占位
+      hasAutoFallbackTriggered: false, // 是否已自动触发原生拍照降级
+      tracker: null,
+      tipFlag: false, // 提示用户已经检测到
+      flag: false, // 判断是否已经拍照
+      context: null, // canvas上下文
+      profile: [], // 轮廓
+      removePhotoID: null, // 停止转换图片
+      scanTip: '', // 提示文字
+      imgUrl: '', // base64格式图片
+      urlmobile: ''// 手机号
+    }
+  },
+  created () {
+
+  },
+  computed: {
+    progressRingStyle () {
+      const progress = Math.max(0, Math.min(100, this.captureProgress))
+      const angle = `${progress * 3.6}deg`
       return {
-        iconBack,
-        takePhotoFlag:false,
-        bursterror:false,       //原生相机按钮
-        add:0,
-        currentRate: 0,
-        look:'',
-        maskShow:false,         //遮罩层
-        progressBar:false,      //动态进度条
-        captureProgress: 0,     // 0-100 的拍照充能进度
-        captureDuration: 2000,  // 保持不动 2 秒完成拍照
-        progressTimer: null,
-        progressStartedAt: 0,
-        herd_img:'',            //原生相机图片回显
-        zdyxjOa:true,           //把设备相机隐掉
-        userAgent:'',           //设备型号
-        URL: null,
-        streamIns: null,        // 视频流
-        showContainer: true,    // 显示
-        videoReady: false,      // 视频流就绪后再显示，避免安卓首屏闪占位
-        hasAutoFallbackTriggered: false, // 是否已自动触发原生拍照降级
-        tracker: null,
-        tipFlag: false,         // 提示用户已经检测到
-        flag: false,            // 判断是否已经拍照
-        context: null,          // canvas上下文
-        profile: [],            // 轮廓
-        removePhotoID: null,    // 停止转换图片
-        scanTip: '',            // 提示文字
-        imgUrl: '',              // base64格式图片
-        urlmobile:'',//手机号
+        background: `conic-gradient(from -90deg, #1a65ed 0deg ${angle}, rgba(232, 237, 245, 0) ${angle} 360deg)`
       }
-    },
-    created() {
-
-    },
-    computed: {
-      progressRingStyle () {
-        const progress = Math.max(0, Math.min(100, this.captureProgress))
-        const angle = `${progress * 3.6}deg`
-        return {
-          background: `conic-gradient(from -90deg, #1a65ed 0deg ${angle}, rgba(232, 237, 245, 0) ${angle} 360deg)`
+    }
+  },
+  watch: {
+
+  },
+  async mounted () {
+    console.log(this.$route.query.mobile)
+    this.urlmobile = this.$route.query.mobile
+    if (this.$route.query.look == 1) {
+      this.look = 1
+    } else {
+      this.look = ''
+    }
+    await this.initCameraEntry()
+    console.log('this.$refs.refVideo', this.$refs.refVideo)
+  },
+  methods: {
+    async initCameraEntry () {
+      const ua = navigator.userAgent || ''
+      const isAndroid = this.isAndroidDevice()
+      const isHarmony = this.isHarmonyDevice()
+      const hasBridge = this.hasBridgeAbility()
+      console.log('[aifaceRecognition] ua =', ua)
+      console.log('[aifaceRecognition] isAndroidDevice =', isAndroid)
+      console.log('[aifaceRecognition] isHarmonyDevice =', isHarmony)
+      console.log('[aifaceRecognition] hasBridgeAbility =', hasBridge)
+      // const permissionResult = await this.requestCameraPermissionByBridge()
+      // if (permissionResult === false) {
+      //   this.triggerNativeFallback('当前设备未获取相机权限，已切换为拍照上传')
+      //   return
+
+      if (isAndroid && !isHarmony) {
+        console.log('[aifaceRecognition] hit android fallback branch')
+        this.triggerNativeFallback('当前安卓设备已切换为拍照上传')
+        return
+      }
+      if (this.shouldCheckCameraPermissionByBridge()) {
+        console.log('[aifaceRecognition] hit bridge permission branch')
+        const permissionResult = await this.requestCameraPermissionByBridge()
+        console.log('[aifaceRecognition] permissionResult =', permissionResult)
+        if (permissionResult === false) {
+          this.triggerNativeFallback('当前设备未获取相机权限，已切换为拍照上传')
+          return
         }
       }
+      console.log('[aifaceRecognition] hit playVideo branch')
+      this.playVideo()
     },
-    watch: {
-
+    shouldCheckCameraPermissionByBridge () {
+      return this.hasBridgeAbility() && this.isAndroidFamilyDevice()
     },
-    async mounted() {
-      console.log(this.$route.query.mobile);
-       this.urlmobile = this.$route.query.mobile
-      if(this.$route.query.look==1){
-        this.look = 1
-      }else{
-        this.look = ''
-      }
-      await this.initCameraEntry()
-      console.log('this.$refs.refVideo',this.$refs.refVideo);
+    hasBridgeAbility () {
+      return !!(window.AlipayJSBridge && typeof window.AlipayJSBridge.call === 'function')
     },
-    methods: {
-      async initCameraEntry() {
-        const ua = navigator.userAgent || ''
-        const isAndroid = this.isAndroidDevice()
-        const isHarmony = this.isHarmonyDevice()
-        const hasBridge = this.hasBridgeAbility()
-        console.log('[aifaceRecognition] ua =', ua)
-        console.log('[aifaceRecognition] isAndroidDevice =', isAndroid)
-        console.log('[aifaceRecognition] isHarmonyDevice =', isHarmony)
-        console.log('[aifaceRecognition] hasBridgeAbility =', hasBridge)
-        // const permissionResult = await this.requestCameraPermissionByBridge()
-        // if (permissionResult === false) {
-        //   this.triggerNativeFallback('当前设备未获取相机权限，已切换为拍照上传')
-        //   return
-
-        if (isAndroid && !isHarmony) {
-          console.log('[aifaceRecognition] hit android fallback branch')
-          this.triggerNativeFallback('当前安卓设备已切换为拍照上传')
-          return
-        }
-        if (this.shouldCheckCameraPermissionByBridge()) {
-          console.log('[aifaceRecognition] hit bridge permission branch')
-          const permissionResult = await this.requestCameraPermissionByBridge()
-          console.log('[aifaceRecognition] permissionResult =', permissionResult)
-          if (permissionResult === false) {
-            this.triggerNativeFallback('当前设备未获取相机权限，已切换为拍照上传')
+    isAndroidFamilyDevice () {
+      return this.isHarmonyDevice() || this.isAndroidDevice()
+    },
+    isHarmonyDevice () {
+      const ua = (navigator.userAgent || '').toLowerCase()
+      return ua.indexOf('harmony') > -1 || ua.indexOf('hongmeng') > -1 || ua.indexOf('hmos') > -1
+    },
+    isAndroidDevice () {
+      const ua = (navigator.userAgent || '').toLowerCase()
+      return ua.indexOf('android') > -1
+    },
+    requestCameraPermissionByBridge () {
+      return new Promise((resolve) => {
+        try {
+          if (!this.hasBridgeAbility()) {
+            resolve(null)
             return
           }
+          window.AlipayJSBridge.call('getCameraPermissionYouBank', {}, (result) => {
+            const code = result && result.code != null ? String(result.code) : ''
+            const data = result && result.data ? result.data : {}
+            const camPermission = data && data.camPermission != null ? String(data.camPermission) : ''
+            const granted = code === '00' && camPermission !== '0'
+            resolve(granted)
+          })
+        } catch (error) {
+          console.warn('[aifaceRecognition] getCameraPermissionYouBank failed:', error)
+          resolve(null)
         }
-        console.log('[aifaceRecognition] hit playVideo branch')
-        this.playVideo()
-      },
-      shouldCheckCameraPermissionByBridge() {
-        return this.hasBridgeAbility() && this.isAndroidFamilyDevice()
-      },
-      hasBridgeAbility() {
-        return !!(window.AlipayJSBridge && typeof window.AlipayJSBridge.call === 'function')
-      },
-      isAndroidFamilyDevice() {
-        return this.isHarmonyDevice() || this.isAndroidDevice()
-      },
-      isHarmonyDevice() {
-        const ua = (navigator.userAgent || '').toLowerCase()
-        return ua.indexOf('harmony') > -1 || ua.indexOf('hongmeng') > -1 || ua.indexOf('hmos') > -1
-      },
-      isAndroidDevice() {
-        const ua = (navigator.userAgent || '').toLowerCase()
-        return ua.indexOf('android') > -1
-      },
-      requestCameraPermissionByBridge() {
-        return new Promise((resolve) => {
-          try {
-            if (!this.hasBridgeAbility()) {
-              resolve(null)
-              return
-            }
-            window.AlipayJSBridge.call('getCameraPermissionYouBank', {}, (result) => {
-              const code = result && result.code != null ? String(result.code) : ''
-              const data = result && result.data ? result.data : {}
-              const camPermission = data && data.camPermission != null ? String(data.camPermission) : ''
-              const granted = code === '00' && camPermission !== '0'
-              resolve(granted)
-            })
-          } catch (error) {
-            console.warn('[aifaceRecognition] getCameraPermissionYouBank failed:', error)
-            resolve(null)
-          }
-        })
-      },
-      /**
+      })
+    },
+    /**
        * 重新扫描
        * */
-      reScan(){
-        this.playVideo()
-        this.imgUrl = ''
-        this.showContainer = true   //视频流回显
-        this.videoReady = false
-        this.hasAutoFallbackTriggered = false
-        this.zdyxjOa = true         //重新拍摄 把设备相机隐掉
-        this.tipFlag=false          // 提示用户已经检测到
-        this.flag=false             // 判断是否已经拍照
-        this.maskShow = false
-        this.resetCaptureProgress()
-      },
-      /**
+    reScan () {
+      this.playVideo()
+      this.imgUrl = ''
+      this.showContainer = true // 视频流回显
+      this.videoReady = false
+      this.hasAutoFallbackTriggered = false
+      this.zdyxjOa = true // 重新拍摄 把设备相机隐掉
+      this.tipFlag = false // 提示用户已经检测到
+      this.flag = false // 判断是否已经拍照
+      this.maskShow = false
+      this.resetCaptureProgress()
+    },
+    /**
        * 视频播放 - 默认调起前置摄像头
        * */
-      playVideo() {
-        this.getUserMedia(
-          {
-            audio: false,
-            video: {
-              width: 300,
-              height: 300,
-              facingMode: "user" /* 摄像头前置优先 */
-            }
-          },
-          this.success,
-          this.error)
-      },
-      /**
+    playVideo () {
+      this.getUserMedia(
+        {
+          audio: false,
+          video: {
+            width: 300,
+            height: 300,
+            facingMode: 'user' /* 摄像头前置优先 */
+          }
+        },
+        this.success,
+        this.error)
+    },
+    /**
        * 访问用户媒体设备
        * @param constrains
        * @param success
        * @param error
        */
-      getUserMedia(constrains, success, error) {
-        this.userAgent = navigator.userAgent.toLowerCase()
-          console.log('设备型号',this.userAgent);
-
-        if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
-          //最新标准API
-          navigator.mediaDevices.getUserMedia(constrains).then(success).catch(error)
-        } else if (navigator.webkitGetUserMedia) {
-          //webkit内核浏览器
-          navigator.webkitGetUserMedia(constrains, success, error)
-        } else if (navigator.mozGetUserMedia) {
-          //Firefox浏览器
-          navigator.mozGetUserMedia(constrains, success, error)
-        } else if (navigator.getUserMedia) {
-          //旧版API
-          navigator.getUserMedia(constrains, success, error)
-        } else {
-          this.triggerNativeFallback('当前设备不支持实时识别，已切换为拍照上传')
-        }
-      },
-      success(stream) {
-        this.streamIns = stream
-        this.videoReady = false
+    getUserMedia (constrains, success, error) {
+      this.userAgent = navigator.userAgent.toLowerCase()
+      console.log('设备型号', this.userAgent)
+
+      if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
+        // 最新标准API
+        navigator.mediaDevices.getUserMedia(constrains).then(success).catch(error)
+      } else if (navigator.webkitGetUserMedia) {
         // webkit内核浏览器
-        // console.log('window.URL',window.URL);
-        // console.log('window.webkitURL',window.webkitURL);
-        this.URL = window.URL || window.webkitURL
-        if ("srcObject" in this.$refs.refVideo) {
-          this.$refs.refVideo.srcObject = stream
-        } else {
-          this.$refs.refVideo.src = this.URL.createObjectURL(stream)
-        }
+        navigator.webkitGetUserMedia(constrains, success, error)
+      } else if (navigator.mozGetUserMedia) {
+        // Firefox浏览器
+        navigator.mozGetUserMedia(constrains, success, error)
+      } else if (navigator.getUserMedia) {
+        // 旧版API
+        navigator.getUserMedia(constrains, success, error)
+      } else {
+        this.triggerNativeFallback('当前设备不支持实时识别，已切换为拍照上传')
+      }
+    },
+    success (stream) {
+      this.streamIns = stream
+      this.videoReady = false
+      // webkit内核浏览器
+      // console.log('window.URL',window.URL);
+      // console.log('window.webkitURL',window.webkitURL);
+      this.URL = window.URL || window.webkitURL
+      if ('srcObject' in this.$refs.refVideo) {
+        this.$refs.refVideo.srcObject = stream
+      } else {
+        this.$refs.refVideo.src = this.URL.createObjectURL(stream)
+      }
 
-        this.$nextTick(()=>{
-          console.log('延迟执行');
-          const playPromise = this.$refs.refVideo.play()
-          if (playPromise && typeof playPromise.then === 'function') {
-            playPromise
-              .then(() => {
-                this.videoReady = true
-              })
-              .catch(() => {
-                this.videoReady = false
-              })
-          }
-          this.initTracker();
-        })
-      },
-      handleVideoReady() {
-        this.videoReady = true
-      },
-      error(e) {
-        if (e.name == 'NotAllowedError') {
-          this.$toast('您拒绝了相机或麦克风授权!');
-          this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,look: this.look, mobile: this.urlmobile}})
-        }else {
-          this.triggerNativeFallback('当前设备不支持实时识别，已切换为拍照上传')
-        }
-        this.scanTip = "访问用户媒体失败"
-      },
-      triggerNativeFallback(message) {
-        this.bursterror = true
-        this.scanTip = '访问用户媒体失败'
-        this.showContainer = false
-        this.zdyxjOa = false
-        if (message) {
-          this.$toast(message)
-        }
-        if (this.hasAutoFallbackTriggered) {
-          return
+      this.$nextTick(() => {
+        console.log('延迟执行')
+        const playPromise = this.$refs.refVideo.play()
+        if (playPromise && typeof playPromise.then === 'function') {
+          playPromise
+            .then(() => {
+              this.videoReady = true
+            })
+            .catch(() => {
+              this.videoReady = false
+            })
         }
-        this.hasAutoFallbackTriggered = true
-        this.$nextTick(() => {
-          this.originCamera()
-        })
-      },
-      /**
+        this.initTracker()
+      })
+    },
+    handleVideoReady () {
+      this.videoReady = true
+    },
+    error (e) {
+      if (e.name == 'NotAllowedError') {
+        this.$toast('您拒绝了相机或麦克风授权!')
+        this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, look: this.look, mobile: this.urlmobile } })
+      } else {
+        this.triggerNativeFallback('当前设备不支持实时识别，已切换为拍照上传')
+      }
+      this.scanTip = '访问用户媒体失败'
+    },
+    triggerNativeFallback (message) {
+      this.bursterror = true
+      this.scanTip = '访问用户媒体失败'
+      this.showContainer = false
+      this.zdyxjOa = false
+      if (message) {
+        this.$toast(message)
+      }
+      if (this.hasAutoFallbackTriggered) {
+        return
+      }
+      this.hasAutoFallbackTriggered = true
+      this.$nextTick(() => {
+        this.originCamera()
+      })
+    },
+    /**
        * 人脸捕捉
        */
-      initTracker() {
-        this.context = this.$refs.refCanvas.getContext("2d")          // 画布
-        this.tracker = new window.tracking.ObjectTracker('face')      // tracker实例
-        this.tracker.setInitialScale(4)
-        this.tracker.setEdgesDensity(0.1)
-        this.tracker.setStepSize(1.1)
-        this.tracker.on('track', this.handleTracked)                  // 绑定监听方法
-        try {
-          window.tracking.track('#video', this.tracker)               // 开始追踪
-        } catch (e) {
-          // this.scanTip = "访问用户媒体失败，请重试"
-          this.scanTip = e
-        }
-      },
-      handleTracked(e) {
-        let that = this
-        if (e.data.length === 0) { // 未检测到人脸
-          this.scanTip = '未检测到人脸'
-          this.resetCaptureProgress()
-        } else { // 检测到人脸
-          this.scanTip = '检测成功，正在拍照，请保持不动2秒'
-          faceDetected = true
-          if (!shouldTakePhoto) {
-            shouldTakePhoto = true
-            this.startCaptureProgress(() => {
-              that.maskShow = true //遮罩层
-              that.tackPhoto() //识别成功后拍照
-              shouldTakePhoto = false
-            })
-          }
-          e.data.forEach(this.plot)
+    initTracker () {
+      this.context = this.$refs.refCanvas.getContext('2d') // 画布
+      this.tracker = new window.tracking.ObjectTracker('face') // tracker实例
+      this.tracker.setInitialScale(4)
+      this.tracker.setEdgesDensity(0.1)
+      this.tracker.setStepSize(1.1)
+      this.tracker.on('track', this.handleTracked) // 绑定监听方法
+      try {
+        window.tracking.track('#video', this.tracker) // 开始追踪
+      } catch (e) {
+        // this.scanTip = "访问用户媒体失败，请重试"
+        this.scanTip = e
+      }
+    },
+    handleTracked (e) {
+      const that = this
+      if (e.data.length === 0) { // 未检测到人脸
+        this.scanTip = '未检测到人脸'
+        this.resetCaptureProgress()
+      } else { // 检测到人脸
+        this.scanTip = '检测成功，正在拍照，请保持不动2秒'
+        faceDetected = true
+        if (!shouldTakePhoto) {
+          shouldTakePhoto = true
+          this.startCaptureProgress(() => {
+            that.maskShow = true // 遮罩层
+            that.tackPhoto() // 识别成功后拍照
+            shouldTakePhoto = false
+          })
         }
-      },
-      startCaptureProgress(onComplete) {
-        if (this.progressTimer) return
-        this.progressBar = true
-        this.captureProgress = 0
-        this.progressStartedAt = Date.now()
-
-        this.progressTimer = window.setInterval(() => {
-          const elapsed = Date.now() - this.progressStartedAt
-          const nextProgress = Math.min(100, (elapsed / this.captureDuration) * 100)
-          this.captureProgress = nextProgress
-
-          if (elapsed >= this.captureDuration) {
-            window.clearInterval(this.progressTimer)
-            this.progressTimer = null
-            this.captureProgress = 100
-            if (typeof onComplete === 'function') {
-              onComplete()
-            }
-          }
-        }, 16)
-      },
-      resetCaptureProgress() {
-        clearTimeout(photoTimer)
-        shouldTakePhoto = false
-        this.progressBar = false
-        this.captureProgress = 0
-        this.progressStartedAt = 0
-        if (this.progressTimer) {
+        e.data.forEach(this.plot)
+      }
+    },
+    startCaptureProgress (onComplete) {
+      if (this.progressTimer) return
+      this.progressBar = true
+      this.captureProgress = 0
+      this.progressStartedAt = Date.now()
+
+      this.progressTimer = window.setInterval(() => {
+        const elapsed = Date.now() - this.progressStartedAt
+        const nextProgress = Math.min(100, (elapsed / this.captureDuration) * 100)
+        this.captureProgress = nextProgress
+
+        if (elapsed >= this.captureDuration) {
           window.clearInterval(this.progressTimer)
           this.progressTimer = null
+          this.captureProgress = 100
+          if (typeof onComplete === 'function') {
+            onComplete()
+          }
         }
-      },
-      /**
+      }, 16)
+    },
+    resetCaptureProgress () {
+      clearTimeout(photoTimer)
+      shouldTakePhoto = false
+      this.progressBar = false
+      this.captureProgress = 0
+      this.progressStartedAt = 0
+      if (this.progressTimer) {
+        window.clearInterval(this.progressTimer)
+        this.progressTimer = null
+      }
+    },
+    /**
        * 绘制跟踪框
        * */
-      plot({x, y, width: w, height: h}) {
-        // 创建框对象
-        this.profile.push({ width: w, height: h, left: x, top: y })
-      },
-      /**
+    plot ({ x, y, width: w, height: h }) {
+      // 创建框对象
+      this.profile.push({ width: w, height: h, left: x, top: y })
+    },
+    /**
        * 识别成功后拍照
        */
-      tackPhoto() {
-        // console.log('this.context',this.context);
-        // console.log('this.$refs.refVideo',this.$refs.refVideo);
+    tackPhoto () {
+      // console.log('this.context',this.context);
+      // console.log('this.$refs.refVideo',this.$refs.refVideo);
 
-        this.context.drawImage(this.$refs.refVideo, 0, 0, 300, 300)
-        // 保存为base64格式
-        this.imgUrl = this.saveAsPNG(this.$refs.refCanvas)
-        // console.log('imgUrl',this.imgUrl);
+      this.context.drawImage(this.$refs.refVideo, 0, 0, 300, 300)
+      // 保存为base64格式
+      this.imgUrl = this.saveAsPNG(this.$refs.refCanvas)
+      // console.log('imgUrl',this.imgUrl);
 
-        this.scanTip = this.imgUrl
-        this.$emit('finish', this.imgUrl)
-        this.close()
-        //
-        var randomString = this.generateRandomString(4);// 随机生成的4位小写字母
-        if(this.imgUrl){
-          const wjlFile = this.base64toFile(this.imgUrl,randomString)
-          // 将file对象进行进一步的处理
-          this.submitPhoto('custom',wjlFile)
-        }else{
-          this.$toast('图片不能为空');
-        }
-
-      },
-      /**
+      this.scanTip = this.imgUrl
+      this.$emit('finish', this.imgUrl)
+      this.close()
+      //
+      var randomString = this.generateRandomString(4)// 随机生成的4位小写字母
+      if (this.imgUrl) {
+        const wjlFile = this.base64toFile(this.imgUrl, randomString)
+        // 将file对象进行进一步的处理
+        this.submitPhoto('custom', wjlFile)
+      } else {
+        this.$toast('图片不能为空')
+      }
+    },
+    /**
        * base64转为文件流
        * urlString: base64图片格式字符串
        * filename：文件名称
        */
-      base64toFile(urlString, fileName) {
-        const dataArr = urlString.split(",");
-        const byteString = atob(dataArr[1]);
-        const options = {
-          type: "image/png",
-          endings: "native"
-        };
-        const u8Arr = new Uint8Array(byteString.length);
-        for (let i = 0; i < byteString.length; i++) {
-          u8Arr[i] = byteString.charCodeAt(i);
+    base64toFile (urlString, fileName) {
+      const dataArr = urlString.split(',')
+      const byteString = atob(dataArr[1])
+      const options = {
+        type: 'image/png',
+        endings: 'native'
+      }
+      const u8Arr = new Uint8Array(byteString.length)
+      for (let i = 0; i < byteString.length; i++) {
+        u8Arr[i] = byteString.charCodeAt(i)
+      }
+      return new File([u8Arr], fileName + '.png', options)
+    },
+    compressImg (file, callback) {
+      var fileSize = parseFloat(parseInt(file.size) / 1024 / 1024).toFixed(2)
+      var read = new FileReader()
+      read.readAsDataURL(file)
+      read.onload = function (e) {
+        var img = new Image()
+        img.src = e.target.result
+        img.onload = function () {
+          var w = this.width
+          var h = this.height
+          var canvas = document.createElement('canvas')
+          var ctx = canvas.getContext('2d')
+          var base64
+          canvas.setAttribute('width', w)
+          canvas.setAttribute('height', h)
+          ctx.drawImage(this, 0, 0, w, h)
+          if (fileSize < 1) {
+            base64 = canvas.toDataURL(file.type, 1)
+          } else if (fileSize > 1 && fileSize < 2) {
+            base64 = canvas.toDataURL(file.type, 0.5)
+          } else {
+            base64 = canvas.toDataURL(file.type, 0.2)
+          }
+          callback(base64)
         }
-        return new File([u8Arr], fileName + ".png", options);
-      },
-      compressImg(file, callback) {
-        var fileSize = parseFloat(parseInt(file['size']) / 1024 / 1024).toFixed(2);
-        var read = new FileReader();
-        read.readAsDataURL(file);
-        read.onload = function (e) {
-          var img = new Image();
-          img.src = e.target.result;
-          img.onload = function () {
-            var w = this.width;
-            var h = this.height;
-            var canvas = document.createElement('canvas');
-            var ctx = canvas.getContext('2d');
-            var base64;
-            canvas.setAttribute('width', w);
-            canvas.setAttribute('height', h);
-            ctx.drawImage(this, 0, 0, w, h);
-            if (fileSize < 1) {
-              base64 = canvas.toDataURL(file['type'], 1);
-            } else if (fileSize > 1 && fileSize < 2) {
-              base64 = canvas.toDataURL(file['type'], 0.5);
-            } else {
-              base64 = canvas.toDataURL(file['type'], 0.2);
-            }
-            callback(base64);
-          };
-        };
-      },
-      /**
+      }
+    },
+    /**
        * 随机生成英文4位
        * */
-      generateRandomString(length) {
-        var result = '';
-        var characters = 'abcdefghijklmnopqrstuvwxyz';
-        var charactersLength = characters.length;
-        for (var i = 0; i < length; i++) {
-          result += characters.charAt(Math.floor(Math.random() * charactersLength));
-        }
-        return result;
-      },
-      /**
+    generateRandomString (length) {
+      var result = ''
+      var characters = 'abcdefghijklmnopqrstuvwxyz'
+      var charactersLength = characters.length
+      for (var i = 0; i < length; i++) {
+        result += characters.charAt(Math.floor(Math.random() * charactersLength))
+      }
+      return result
+    },
+    /**
        * 保存为png,base64格式图片
        * @desc canvas的dom转化为图片base64
        * */
-      saveAsPNG(c) {
-        return c.toDataURL('image/png', 0.6) // 参数二：图片质量；大小30K左右
-      },
-      /**
+    saveAsPNG (c) {
+      return c.toDataURL('image/png', 0.6) // 参数二：图片质量；大小30K左右
+    },
+    /**
        * 关闭并清理资源
        */
-      close() {
-        this.flag = false
-        this.tipFlag = false
-        this.showContainer = false
-        this.tracker && this.tracker.removeListener('track', this.handleTracked)
-        this.tracker = null
-        this.context = null
-        this.profile = []
-        this.scanTip = '人脸识别中...'
-        this.resetCaptureProgress()
-        clearTimeout(this.removePhotoID)
-        if (this.streamIns) {
-          this.streamIns.enabled = false
-          this.streamIns.getTracks()[0].stop()
-          this.streamIns.getVideoTracks()[0].stop()
-        }
-        this.streamIns = null
-      },
-      /**
+    close () {
+      this.flag = false
+      this.tipFlag = false
+      this.showContainer = false
+      this.tracker && this.tracker.removeListener('track', this.handleTracked)
+      this.tracker = null
+      this.context = null
+      this.profile = []
+      this.scanTip = '人脸识别中...'
+      this.resetCaptureProgress()
+      clearTimeout(this.removePhotoID)
+      if (this.streamIns) {
+        this.streamIns.enabled = false
+        this.streamIns.getTracks()[0].stop()
+        this.streamIns.getVideoTracks()[0].stop()
+      }
+      this.streamIns = null
+    },
+    /**
        * 不兼容的原相机
        * **/
-      originCamera(){
-        let that=this
-        //关闭自定义相机
-        this.showContainer = false
-        this.zdyxjOa=false
-        let promise= new Promise(function (resolve, reject) {
-          let file = document.getElementById('file')
-          file.click()
-          file.onchange = function (event) {
-              if (!event) {
-                  reject('empty')
-              }
-              //当选中或者拍摄后确定图片后，保存图片文件——>后续提交
-              // let file=event.target.files[0]
-              let e=event
-              // console.log(e);
-              resolve(e)
+    originCamera () {
+      const that = this
+      // 关闭自定义相机
+      this.showContainer = false
+      this.zdyxjOa = false
+      const promise = new Promise(function (resolve, reject) {
+        const file = document.getElementById('file')
+        file.click()
+        file.onchange = function (event) {
+          if (!event) {
+            reject('empty')
           }
-
-        })
-        promise.then((value)=> {
-          console.log(value);
-          that.submitPhoto('native',value)
+          // 当选中或者拍摄后确定图片后，保存图片文件——>后续提交
+          // let file=event.target.files[0]
+          const e = event
+          // console.log(e);
+          resolve(e)
         }
-      )},
-      /**
+      })
+      promise.then((value) => {
+        console.log(value)
+        that.submitPhoto('native', value)
+      }
+      )
+    },
+    /**
        * 提交
        * **/
-      submitPhoto(type,e) {
-        let file =''
-        let formData = new FormData()
-        // formData.append('staff_uuid', this.getCookie('staff_uuid'))
-        formData.append('mobile', this.urlmobile)
-        formData.append('userAgent', this.userAgent)
-
-        if(type=='native'){
-          this.maskShow = true //遮罩层
-          let fileObj = e.target
-          file = fileObj.files[0]
-          this.imageFile=file
-
-          let reader = new FileReader()
-          reader.readAsDataURL(file)
-          reader.onload = (e) => {
-            const imgResult = e.target.result
-            // /可预览的图片地址
-            var strImage = imgResult.replace(/^data:image\/[a-z]+;base64,/,"");
-            this.herd_img = strImage
-          }
-          let randomString = this.generateRandomString(4)
-          this.compressImg(this.imageFile, (base64) => {
-            const compressFile = this.base64toFile(base64, randomString)
-            formData.append('face_img', compressFile)
-            saveFaceByMobile(formData).then((res) => {
-              this.maskShow = false
-              if (res.data && res.data.staff_uuid && res.data.name) {
-                saveFaceProfile(res.data)
-              }
-              if (res.code === 0) {
-                this.$router.replace({path: '/aiverificationCompleted', query: {look: this.look, mobile: this.urlmobile}})
-              } else {
-                this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,look: this.look , mobile: this.urlmobile}})
-                this.$toast(res.message || res.messages || '上传失败');
-                this.close()
-              }
-            }).catch(error => {
-              this.maskShow = false
-              console.log(error);
-              this.$toast(error.message || '上传失败');
-              this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,look: this.look, mobile: this.urlmobile}})
+    submitPhoto (type, e) {
+      let file = ''
+      const formData = new FormData()
+      // formData.append('staff_uuid', this.getCookie('staff_uuid'))
+      formData.append('mobile', this.urlmobile)
+      formData.append('userAgent', this.userAgent)
+
+      if (type == 'native') {
+        this.maskShow = true // 遮罩层
+        const fileObj = e.target
+        file = fileObj.files[0]
+        this.imageFile = file
+
+        const reader = new FileReader()
+        reader.readAsDataURL(file)
+        reader.onload = (e) => {
+          const imgResult = e.target.result
+          // /可预览的图片地址
+          var strImage = imgResult.replace(/^data:image\/[a-z]+;base64,/, '')
+          this.herd_img = strImage
+        }
+        const randomString = this.generateRandomString(4)
+        this.compressImg(this.imageFile, (base64) => {
+          const compressFile = this.base64toFile(base64, randomString)
+          formData.append('face_img', compressFile)
+          saveFaceByMobile(formData).then((res) => {
+            this.maskShow = false
+            if (res.data && res.data.staff_uuid && res.data.name) {
+              saveFaceProfile(res.data)
+            }
+            if (res.code === 0) {
+              this.$router.replace({ path: '/aiverificationCompleted', query: { look: this.look, mobile: this.urlmobile } })
+            } else {
+              this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, look: this.look, mobile: this.urlmobile } })
+              this.$toast(res.message || res.messages || '上传失败')
               this.close()
-            });
+            }
+          }).catch(error => {
+            this.maskShow = false
+            console.log(error)
+            this.$toast(error.message || '上传失败')
+            this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, look: this.look, mobile: this.urlmobile } })
+            this.close()
           })
-          return
-
-        }else{
-          file = e
-          formData.append('face_img', file)
+        })
+        return
+      } else {
+        file = e
+        formData.append('face_img', file)
+      }
+      // console.log('传输的file',file);
+      saveFaceByMobile(formData).then((res) => {
+        this.maskShow = false
+        if (res.data && res.data.staff_uuid && res.data.name) {
+          saveFaceProfile(res.data)
         }
-        // console.log('传输的file',file);
-        saveFaceByMobile(formData).then((res) => {
-          this.maskShow = false
-          if (res.data && res.data.staff_uuid && res.data.name) {
-            saveFaceProfile(res.data)
-          }
-          if (res.code === 0) {
-            this.$router.replace({path: '/aiverificationCompleted', query: {look: this.look, mobile: this.urlmobile}})
-          } else {
-            this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,look: this.look , mobile: this.urlmobile}})
-            this.$toast(res.message || res.messages || '上传失败');
-            this.close()
-          }
-        }).catch(error => {
-          this.maskShow = false
-          console.log(error);
-          this.$toast(error.message || '上传失败');
-          this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,look: this.look, mobile: this.urlmobile}})
+        if (res.code === 0) {
+          this.$router.replace({ path: '/aiverificationCompleted', query: { look: this.look, mobile: this.urlmobile } })
+        } else {
+          this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, look: this.look, mobile: this.urlmobile } })
+          this.$toast(res.message || res.messages || '上传失败')
           this.close()
-        });
-      }
-    },
-    /**销毁周期**/
-    beforeDestroy() {
-      console.log(3333333);
-      this.resetCaptureProgress()
-      this.close()
+        }
+      }).catch(error => {
+        this.maskShow = false
+        console.log(error)
+        this.$toast(error.message || '上传失败')
+        this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, look: this.look, mobile: this.urlmobile } })
+        this.close()
+      })
     }
-
+  },
+  /** 销毁周期**/
+  beforeDestroy () {
+    console.log(3333333)
+    this.resetCaptureProgress()
+    this.close()
   }
+
+}
 </script>
 
 <style lang="scss" scoped>
diff --git a/src/views/aiFace/aifaceSettings.vue b/src/views/aiFace/aifaceSettings.vue
index e0a1097..cb566fa 100644
--- a/src/views/aiFace/aifaceSettings.vue
+++ b/src/views/aiFace/aifaceSettings.vue
@@ -43,14 +43,13 @@
           <van-button block type="info" native-type="submit" :disabled="!checked" class="loginBtn" style="background-color: #1A65ED;border-radius: 40px;">
             同意协议并开启验证
           </van-button>
-          
+
           <input id="file" type="file" accept="image/*" capture="user" style="display:none">
 
           <div v-if="checked" style="position: absolute;top:0;width: 100%;height: 100%;"  @click="openCamera"></div>
         </div>
-       
-      </div>
 
+      </div>
 
       <div style="display: flex;margin-bottom: 40px;background-color: #fff;font-size: 13px;padding: 0 30px;">
         <van-checkbox v-model="checked" icon-size="17px" class="rememberPwd">我已阅读并同意</van-checkbox>
@@ -86,117 +85,117 @@ import { saveFaceProfile } from '@/utils/faceProfile'
 export default {
   name: 'WorkspaceJsonFaceSettings',
 
-  data() {
+  data () {
     return {
       iconBack,
-      userAgent:'',
+      userAgent: '',
       checked: true,
-      show:false,
-      herd_img:'',
-      look:'',
-      /***--------------***/
-      imageFile:'',//图片对象
-      urlmobile:'',//手机号
+      show: false,
+      herd_img: '',
+      look: '',
+      /** *--------------***/
+      imageFile: '', // 图片对象
+      urlmobile: ''// 手机号
     }
   },
 
-  mounted() {
-    console.log(this.$route.query.mobile);
+  mounted () {
+    console.log(this.$route.query.mobile)
     this.urlmobile = this.$route.query.mobile
-    if(this.$route.query.look==1){
+    if (this.$route.query.look == 1) {
       this.look = 1
-    }else{
+    } else {
       this.look = ''
     }
   },
 
   methods: {
-    path(){
-      this.$router.replace({path: '/aifaceRecognition', query: {look: this.look,mobile: this.urlmobile}})
+    path () {
+      this.$router.replace({ path: '/aifaceRecognition', query: { look: this.look, mobile: this.urlmobile } })
     },
 
-    openCamera(){
+    openCamera () {
       // 获取用户代理字符串
       this.userAgent = navigator.userAgent.toLowerCase()
 
       if (navigator.mediaDevices && navigator.mediaDevices.getUserMedia) {
-          //最新标准API
-          this.$router.replace({path: '/aifaceRecognition', query: {look: this.look,mobile: this.urlmobile}})
-        } else if (navigator.webkitGetUserMedia) {
-          //webkit内核浏览器
-          this.$router.replace({path: '/aifaceRecognition', query: {look: this.look,mobile: this.urlmobile}})
-        } else if (navigator.mozGetUserMedia) {
-          this.$router.replace({path: '/aifaceRecognition', query: {look: this.look,mobile: this.urlmobile}})
-        } else if (navigator.getUserMedia) {
-          //旧版API
-          this.$router.replace({path: '/aifaceRecognition', query: {look: this.look,mobile: this.urlmobile}})
-        } else {
-          this.originCamera()
-          // console.log('不兼容的');
-        }
+        // 最新标准API
+        this.$router.replace({ path: '/aifaceRecognition', query: { look: this.look, mobile: this.urlmobile } })
+      } else if (navigator.webkitGetUserMedia) {
+        // webkit内核浏览器
+        this.$router.replace({ path: '/aifaceRecognition', query: { look: this.look, mobile: this.urlmobile } })
+      } else if (navigator.mozGetUserMedia) {
+        this.$router.replace({ path: '/aifaceRecognition', query: { look: this.look, mobile: this.urlmobile } })
+      } else if (navigator.getUserMedia) {
+        // 旧版API
+        this.$router.replace({ path: '/aifaceRecognition', query: { look: this.look, mobile: this.urlmobile } })
+      } else {
+        this.originCamera()
+        // console.log('不兼容的');
+      }
     },
 
     /**
      * 原相机调用方法
      * **/
-    originCamera(){
-      let that=this
+    originCamera () {
+      const that = this
 
-      let promise= new Promise(function (resolve, reject) {
-        let file=document.getElementById('file')
+      const promise = new Promise(function (resolve, reject) {
+        const file = document.getElementById('file')
         file.click()
         file.onchange = function (event) {
-            if (!event) {
-                reject('empty')
-            }
-            //当选中或者拍摄后确定图片后，保存图片文件——>后续提交
-            // let file=event.target.files[0]
-            let e=event
-            // console.log(e);
-            resolve(e)
+          if (!event) {
+            reject('empty')
+          }
+          // 当选中或者拍摄后确定图片后，保存图片文件——>后续提交
+          // let file=event.target.files[0]
+          const e = event
+          // console.log(e);
+          resolve(e)
         }
       })
-      promise.then((value)=> {
-        that.submitPhoto('origin',value)
+      promise.then((value) => {
+        that.submitPhoto('origin', value)
       }
-    )},
+      )
+    },
     /**
      * 人脸照片file文件流上传
      * **/
-    submitPhoto(type,e) {
-      let file =''
-      let formData = new FormData()
+    submitPhoto (type, e) {
+      let file = ''
+      const formData = new FormData()
       // formData.append('staff_uuid', this.getCookie('staff_uuid'))
       formData.append('mobile', this.urlmobile)
       formData.append('userAgent', this.userAgent)
 
-      if(type=='origin'){
-        //遮罩层
+      if (type == 'origin') {
+        // 遮罩层
         this.show = true
 
-        let fileObj = e.target
+        const fileObj = e.target
         file = fileObj.files[0]
-        this.imageFile=file
+        this.imageFile = file
 
         // console.log('文件流压缩前大小',file.size);
-        let that = this
+        const that = this
         let strImage = ''
-        let wjlFile =''
+        let wjlFile = ''
 
         // 随机生成的4位小写字母
-        let randomString = this.generateRandomString(4);
+        const randomString = this.generateRandomString(4)
 
         /**
          * 方法使用 压缩图片base64字符串 ==> 转file文件流 ==> 上传人脸接口
          * **/
-        this.compressImg(this.imageFile, function(base64) {
-
+        this.compressImg(this.imageFile, function (base64) {
           // 压缩后的图片base64字符串
           strImage = base64
           that.herd_img = strImage
 
           // base64转成file流文件
-          wjlFile = that.base64toFile(that.herd_img , randomString)
+          wjlFile = that.base64toFile(that.herd_img, randomString)
 
           // console.log('文件流压缩后',wjlFile.size);
           // 向接口传file送流文件
@@ -207,114 +206,113 @@ export default {
               saveFaceProfile(res.data)
             }
             if (res.code === 0) {
-              that.$router.replace({path: '/aiverificationCompleted', query: {look: that.look,mobile: that.urlmobile}})
+              that.$router.replace({ path: '/aiverificationCompleted', query: { look: that.look, mobile: that.urlmobile } })
             } else {
               that.cancel()
-              that.$toast(res.message || res.messages || '上传失败');
+              that.$toast(res.message || res.messages || '上传失败')
             }
           })
-          .catch(error => {
-            console.log(error);
-            that.cancel()
-            that.$toast(error.message || '上传失败');
-          });
-        });
-
+            .catch(error => {
+              console.log(error)
+              that.cancel()
+              that.$toast(error.message || '上传失败')
+            })
+        })
       }
     },
 
     /**
      * 上传file文件流 ==> base64字符串 ==> 转压缩图片file文件流
      * **/
-    compressImg(file,callback){
-      var src;
-      var fileSize = parseFloat(parseInt(file['size'])/1024/1024).toFixed(2);
-      var read = new FileReader();
-      read.readAsDataURL(file);
+    compressImg (file, callback) {
+      var src
+      var fileSize = parseFloat(parseInt(file.size) / 1024 / 1024).toFixed(2)
+      var read = new FileReader()
+      read.readAsDataURL(file)
       read.onload = function (e) {
-        var img = new Image();
-        img.src = e.target.result;
-        img.onload = function(){
-          //默认按比例压缩
-          var w = this.width,
-              h = this.height;
-          //生成canvas
-          var canvas = document.createElement('canvas');
-          var ctx = canvas.getContext('2d');
-          var base64;
+        var img = new Image()
+        img.src = e.target.result
+        img.onload = function () {
+          // 默认按比例压缩
+          var w = this.width
+          var h = this.height
+          // 生成canvas
+          var canvas = document.createElement('canvas')
+          var ctx = canvas.getContext('2d')
+          var base64
           // 创建属性节点
-          canvas.setAttribute("width", w);
-          canvas.setAttribute("height", h);
-          ctx.drawImage(this, 0, 0, w, h);
-          if(fileSize < 1){
-              //如果图片小于一兆 那么不执行压缩操作
-              base64 = canvas.toDataURL(file['type'], 1);
-          }else if(fileSize > 1 && fileSize < 2){
-              //如果图片大于1M并且小于2M 那么压缩0.5
-              base64 = canvas.toDataURL(file['type'], 0.5);
-          }else{
-              //如果图片超过2m 那么压缩0.2
-              base64 = canvas.toDataURL(file['type'], 0.2);
+          canvas.setAttribute('width', w)
+          canvas.setAttribute('height', h)
+          ctx.drawImage(this, 0, 0, w, h)
+          if (fileSize < 1) {
+            // 如果图片小于一兆 那么不执行压缩操作
+            base64 = canvas.toDataURL(file.type, 1)
+          } else if (fileSize > 1 && fileSize < 2) {
+            // 如果图片大于1M并且小于2M 那么压缩0.5
+            base64 = canvas.toDataURL(file.type, 0.5)
+          } else {
+            // 如果图片超过2m 那么压缩0.2
+            base64 = canvas.toDataURL(file.type, 0.2)
           }
           // 回调函数返回file的值
-          callback(base64);
-        };
-      };
+          callback(base64)
+        }
+      }
     },
     /**
      * base64转为文件流
      * urlString: base64图片格式字符串
      * filename：文件名称
      */
-    base64toFile(urlString, fileName) {
-      const dataArr = urlString.split(",");
-      const byteString = atob(dataArr[1]);
+    base64toFile (urlString, fileName) {
+      const dataArr = urlString.split(',')
+      const byteString = atob(dataArr[1])
       const options = {
-        type: "image/png",
-        endings: "native"
-      };
-      const u8Arr = new Uint8Array(byteString.length);
+        type: 'image/png',
+        endings: 'native'
+      }
+      const u8Arr = new Uint8Array(byteString.length)
       for (let i = 0; i < byteString.length; i++) {
-        u8Arr[i] = byteString.charCodeAt(i);
+        u8Arr[i] = byteString.charCodeAt(i)
       }
-      return new File([u8Arr], fileName + ".png", options);
+      return new File([u8Arr], fileName + '.png', options)
     },
     /**
      * 随机生成英文4位
      * */
-    generateRandomString(length) {
-      var result = '';
-      var characters = 'abcdefghijklmnopqrstuvwxyz';
-      var charactersLength = characters.length;
+    generateRandomString (length) {
+      var result = ''
+      var characters = 'abcdefghijklmnopqrstuvwxyz'
+      var charactersLength = characters.length
       for (var i = 0; i < length; i++) {
-        result += characters.charAt(Math.floor(Math.random() * charactersLength));
+        result += characters.charAt(Math.floor(Math.random() * charactersLength))
       }
-      return result;
+      return result
     },
     // 取消
-    cancel(){
-      this.status=0
+    cancel () {
+      this.status = 0
       this.show = false
     },
     // 取消
-    stopVideo(){
-      this.status=0
+    stopVideo () {
+      this.status = 0
       this.show = false
-      //获取视频流
-      var videoStream = document.querySelector('#video').srcObject;
-      //停止视频流
-      videoStream.getTracks().forEach(function(track) {
+      // 获取视频流
+      var videoStream = document.querySelector('#video').srcObject
+      // 停止视频流
+      videoStream.getTracks().forEach(function (track) {
         if (track.readyState == 'live') {
-          track.stop();
+          track.stop()
         }
-      });
+      })
     },
     // 隐私政策
-    slAgreement(){
-      this.$router.replace({path: '/aigreement', query: {look: this.look,mobile: this.urlmobile}})
-    },
+    slAgreement () {
+      this.$router.replace({ path: '/aigreement', query: { look: this.look, mobile: this.urlmobile } })
+    }
 
-  },
+  }
 }
 </script>
 
diff --git a/src/views/aiFace/aigreement.vue b/src/views/aiFace/aigreement.vue
index 94790dc..59c4cc5 100644
--- a/src/views/aiFace/aigreement.vue
+++ b/src/views/aiFace/aigreement.vue
@@ -35,7 +35,7 @@
         我已知晓
       </van-button>
   </div>
-</div> 
+</div>
   </div>
 </template>
 
@@ -45,22 +45,22 @@ import iconBack from '@/assets/titlebar/icon_blk_return@2x.png'
 export default {
   name: 'WorkspaceJsonAgreement',
 
-  data() {
+  data () {
     return {
       iconBack
-    };
+    }
   },
 
-  mounted() {
-    
+  mounted () {
+
   },
 
   methods: {
-    iAlreadyKnow(){
-      this.$router.replace({path: '/aifaceSettings', query: {xieyi: 1,mobile:this.$route.query.mobile}})
+    iAlreadyKnow () {
+      this.$router.replace({ path: '/aifaceSettings', query: { xieyi: 1, mobile: this.$route.query.mobile } })
     }
-  },
-};
+  }
+}
 </script>
 
 <style lang="scss" scoped>
diff --git a/src/views/aiFace/aiverificationCompleted.vue b/src/views/aiFace/aiverificationCompleted.vue
index c62feb9..c9fe679 100644
--- a/src/views/aiFace/aiverificationCompleted.vue
+++ b/src/views/aiFace/aiverificationCompleted.vue
@@ -37,33 +37,33 @@ import { getBaseInfoByMobile } from '@/api/face'
 export default {
   name: 'WorkspaceJsonFaceEntry',
 
-  data() {
+  data () {
     return {
       iconBack,
-      herd_img:'',
-      name:'',
-      headorder:''
-    };
+      herd_img: '',
+      name: '',
+      headorder: ''
+    }
   },
 
-  mounted() {
-    this.getsexInfo ()
+  mounted () {
+    this.getsexInfo()
     // console.log(this.$route.query);
-    if(this.$route.query.look==1){
+    if (this.$route.query.look == 1) {
       this.headorder = 1
-    }else{
+    } else {
       this.headorder = ''
     };
   },
 
   methods: {
-    upload(){
+    upload () {
       this.$router.replace('/home')
     },
     // 获取人员信息
     getsexInfo () {
-      console.log('AAAAAAAAA');
-      
+      console.log('AAAAAAAAA')
+
       getBaseInfoByMobile({
         mobile: this.$route.query.mobile
       }).then((res) => {
@@ -72,9 +72,9 @@ export default {
           this.name = res.data.name
         }
       })
-    },
-  },
-};
+    }
+  }
+}
 
 </script>
 
diff --git a/src/views/aiFace/aiviewFace.vue b/src/views/aiFace/aiviewFace.vue
index fb6f73e..08b8fe3 100644
--- a/src/views/aiFace/aiviewFace.vue
+++ b/src/views/aiFace/aiviewFace.vue
@@ -37,32 +37,31 @@ import { getBaseInfoByMobile } from '@/api/face'
 export default {
   name: 'WorkspaceJsonFaceEntry',
 
-  data() {
+  data () {
     return {
       iconBack,
-      herd_img:'',
-      name:'',
-      headorder:'',
+      herd_img: '',
+      name: '',
+      headorder: '',
       facePng,
-      urlmobile:'',//手机号
-    };
+      urlmobile: ''// 手机号
+    }
   },
 
-  mounted() {
-    this.getsexInfo ()
-    console.log(this.$route.query.mobile);
-       this.urlmobile = this.$route.query.mobile
-    if(this.$route.query.look==1){
+  mounted () {
+    this.getsexInfo()
+    console.log(this.$route.query.mobile)
+    this.urlmobile = this.$route.query.mobile
+    if (this.$route.query.look == 1) {
       this.headorder = 1
-    }else{
+    } else {
       this.headorder = ''
     };
   },
   methods: {
-    upload(){
-      console.log('确认');
-      this.$router.push({path: '/aifaceSettings', query: {look: this.headorder,mobile:this.urlmobile}})
-
+    upload () {
+      console.log('确认')
+      this.$router.push({ path: '/aifaceSettings', query: { look: this.headorder, mobile: this.urlmobile } })
     },
     // 获取人员信息
     getsexInfo () {
@@ -74,9 +73,9 @@ export default {
           this.name = res.data.name
         }
       })
-    },
-  },
-};
+    }
+  }
+}
 
 </script>
 
diff --git a/src/views/bill/utils.js b/src/views/bill/utils.js
index b282987..e78ae72 100644
--- a/src/views/bill/utils.js
+++ b/src/views/bill/utils.js
@@ -60,7 +60,12 @@ export const DEV_BILLS = [
 export const USE_MOCK_BILLS = false
 
 export function shouldUseDevBills () {
-  return USE_MOCK_BILLS || process.env.NODE_ENV === 'development'
+  if (USE_MOCK_BILLS) return true
+  try {
+    return window.localStorage && window.localStorage.getItem('ronghai_use_mock_bills') === '1'
+  } catch (error) {
+    return false
+  }
 }
 
 export function getPayloadData (response) {
diff --git a/src/views/foodDetail.vue b/src/views/foodDetail.vue
index 2a424dd..9c05501 100644
--- a/src/views/foodDetail.vue
+++ b/src/views/foodDetail.vue
@@ -152,7 +152,7 @@ export default {
       this.loading = true
       try {
         const res = await dishesInfo({
-          dishes_uuid: this.$route.query.uuid,
+          dishes_uuid: this.$route.query.uuid
           // nutrient: this.$route.query.id
         })
         // let res ={
diff --git a/src/views/order/diningReview.vue b/src/views/order/diningReview.vue
index 3c3afbd..14f31be 100644
--- a/src/views/order/diningReview.vue
+++ b/src/views/order/diningReview.vue
@@ -297,19 +297,21 @@ export default {
     async submitReview () {
       if (!this.validateReview() || this.submitting) return
 
-      const payload = {form:{
-        orderId: Number(this.orderId) || 0,
-        environment_score: this.overall.environment_score,
-        service_score: this.overall.service_score,
-        comment: this.overall.comment,
-        detail: this.dishes.map(dish => ({
-          dishes_uuid: dish.id,
-          name: dish.name,
-          dishes_score: dish.dishes_score,
-          dishes_taste: dish.selectedTags,
-          comment: dish.comment
-        }))
-      }}
+      const payload = {
+        form: {
+          orderId: Number(this.orderId) || 0,
+          environment_score: this.overall.environment_score,
+          service_score: this.overall.service_score,
+          comment: this.overall.comment,
+          detail: this.dishes.map(dish => ({
+            dishes_uuid: dish.id,
+            name: dish.name,
+            dishes_score: dish.dishes_score,
+            dishes_taste: dish.selectedTags,
+            comment: dish.comment
+          }))
+        }
+      }
 
       this.submitting = true
       try {
diff --git a/src/views/recharge/pay.vue b/src/views/recharge/pay.vue
index 81e6d75..eb10145 100644
--- a/src/views/recharge/pay.vue
+++ b/src/views/recharge/pay.vue
@@ -1,4 +1,4 @@
-<template>
+<template>
   <div class="pay-page">
     <header class="mp-nav mp-nav-light">
       <div class="mp-title-row">