face-recognition.js/public_html/js/min/action-script.js

var DOM={body:$("body"),canvas:$("canvas"),imageLoader:$("#image-loader")},_CAN=DOM.canvas;_CAN.width=_CAN.height=1E3;var _CON=_CAN.getContext("2d"),iL,filterManager,process=function(){},exec=!1,last,featureTrackerTask,trackerCallback,Controller,CFolder={},init,zones={feature:[]},track,featureTracker,initialized=!1,ControllerRememberer=new PermanentStorage;
ControllerRememberer.fetch(function(f){log("Preset loaded.","[PermanentStorage]");Controller=new dat.GUI({load:JSON.parse(f),preset:"default"});init=function(){last=this.src="front/male/1.jpg";initialized=!0;CFolder.src=Controller.addFolder("Source Picture");Controller.remember(this);CFolder.src.add(this,"src",this._images).listen()};zones.feature=[];track={trackFeatures:function(){LOADER.start();zones.feature=[];featureTrackerTask=tracking.track(_CAN,featureTracker);LOADER.stop()}};featureTracker=
new tracking.ObjectTracker(["eye","mouth"]);featureTracker.setInitialScale(1);featureTracker.setStepSize(1.2);featureTracker.setEdgesDensity(.1);trackerCallback=function(a,c){zones[a].length=0;c.data.forEach(function(b){zones[a].push({x:b.x/_CAN.width,y:b.y/_CAN.height,w:b.width/_CAN.width,h:b.height/_CAN.height})});0<zones[a].length?log(a+" recognition done","[Tracking.js]"):log(a+" recognition failed","[Tracking.js]");process.apply(DOM.imageLoader)};featureTracker.on("track",function(a){return trackerCallback.apply(this,
["feature",a])});LOADER.init();process=function(){if(initialized&&this instanceof HTMLImageElement){console.time("PROCESS");LOADER.start();this.src!=last&&(reactiveFaceTracking.zones=[],zones.feature=[],exec=!1,last=this.src);exec||(this.defaultWidth=this.width,this.defaultHeight=this.height,log("Image copied","[Canvas]"),exec=!0);_CON.clearRect(0,0,_CAN.width,_CAN.height);filterManager.get("resolution").apply();filterManager.get("contrast").apply();filterManager.get("grayscale").apply();filterManager.get("sobel").apply();
filterManager.get("gaussian").apply();filterManager.get("canny").apply();var a,c,b,d,e;for(a in zones.feature)c=zones.feature[a].x*_CAN.width,b=zones.feature[a].y*_CAN.height,d=zones.feature[a].w*_CAN.width,e=zones.feature[a].h*_CAN.height,_CON.lineWidth=5,_CON.strokeStyle="#f00",_CON.strokeRect(c,b,d,e);for(a in reactiveFaceTracking.zones)c=reactiveFaceTracking.zones[a].x*_CAN.width,b=reactiveFaceTracking.zones[a].y*_CAN.height,d=reactiveFaceTracking.zones[a].w*_CAN.width,e=reactiveFaceTracking.zones[a].h*
_CAN.height,_CON.lineWidth=5,_CON.strokeStyle="#ff0",_CON.strokeRect(c,b,d,e);console.timeEnd("PROCESS");LOADER.stop()}};filterManager=new ReactiveFilterManager(DOM.imageLoader,_CAN,process);filterManager.add("face_tracking",reactiveFaceTracking);filterManager.add("resolution",reactiveResolution);filterManager.add("contrast",reactiveContrast);filterManager.add("grayscale",reactiveGrayscale);filterManager.add("sobel",reactiveSobel);filterManager.add("gaussian",reactiveGaussianBlur);filterManager.add("canny",
reactiveCanny);filterManager.add("haar_face",reactiveHaarFace);Controller.remember(filterManager.get("face_tracking"));Controller.remember(filterManager.get("resolution"));Controller.remember(filterManager.get("contrast"));Controller.remember(filterManager.get("grayscale"));Controller.remember(filterManager.get("sobel"));Controller.remember(filterManager.get("canny"));Controller.remember(filterManager.get("gaussian"));Controller.remember(filterManager.get("haar_face"));CFolder.custom=Controller.addFolder("custom");
CFolder.resolution=CFolder.custom.addFolder("Image Resolution");CFolder.resolution.add(filterManager.get("resolution"),"width",0,2).step(.1);CFolder.resolution.add(filterManager.get("resolution"),"height",0,2).step(.1);CFolder.basic=CFolder.custom.addFolder("Basic Image Processing");CFolder.basic.add(filterManager.get("contrast"),"contrast",0,100);CFolder.basic.add(filterManager.get("grayscale"),"grayscale");CFolder.tracking=Controller.addFolder("Tracking.js");CFolder.face_tracking=CFolder.tracking.addFolder("Face tracking");
CFolder.face_tracking.add(filterManager.get("face_tracking"),"apply");CFolder.face_tracking.add(filterManager.get("face_tracking"),"initial_scale",1,10).step(.5);CFolder.face_tracking.add(filterManager.get("face_tracking"),"step_size",1,5).step(.5);CFolder.face_tracking.add(filterManager.get("face_tracking"),"edges_density",.1,.5).step(.01);CFolder.jsfeat=Controller.addFolder("jsfeat");CFolder.haar_face=CFolder.jsfeat.addFolder("Haar Face Detection");CFolder.haar_face.add(filterManager.get("haar_face"),
"apply");CFolder.haar_face.add(filterManager.get("haar_face"),"min_scale",1,4).step(.1);CFolder.haar_face.add(filterManager.get("haar_face"),"scale_factor",1.1,2).step(.025);CFolder.haar_face.add(filterManager.get("haar_face"),"equalize_histogram");CFolder.haar_face.add(filterManager.get("haar_face"),"use_canny");CFolder.haar_face.add(filterManager.get("haar_face"),"edges_density",.01,1).step(.005);CFolder.gaussian=CFolder.jsfeat.addFolder("Gaussian Blur");CFolder.gaussian.add(filterManager.get("gaussian"),
"active");CFolder.gaussian.add(filterManager.get("gaussian"),"sigma",0,10).step(.5);CFolder.gaussian.add(filterManager.get("gaussian"),"radius",1,11).step(1);CFolder.sobel=CFolder.jsfeat.addFolder("Sobel Filter");CFolder.sobel.add(filterManager.get("sobel"),"sobelActive");CFolder.canny=CFolder.jsfeat.addFolder("Canny Filter");CFolder.canny.add(filterManager.get("canny"),"active");CFolder.canny.add(filterManager.get("canny"),"radius",0,4).step(1);CFolder.canny.add(filterManager.get("canny"),"low_threshold",
1,127).step(1);CFolder.canny.add(filterManager.get("canny"),"high_threshold",1,127).step(1);CFolder.process=Controller.addFolder("Process");CFolder.process.add({render:process},"render");Controller.__save_row.children[2].addEventListener("click",function(){Controller.save();try{var a=JSON.stringify(Controller.getSaveObject());ControllerRememberer.store(a,function(){log("dat.GUI preset stored.","[PermanentStorage]");return!0})}catch(c){log("Corrupted data.","[PermanentStorage]")}},!1);iL=new ImageLoader(DOM.imageLoader,
init,process);return!0});