12 lines
5.4 KiB
JavaScript
12 lines
5.4 KiB
JavaScript
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,faceTrackerTask,trackerCallback,Controller,init,zones={feature:[],face:[]},track,featureTracker,faceTracker,initialized=!1,ControllerRememberer=new PermanentStorage;
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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;Controller.addFolder("Source Picture");Controller.remember(this);Controller.add(this,"src",this._images).listen()};zones.feature=[];zones.face=[];track={trackFeatures:function(){zones.feature=[];featureTrackerTask=tracking.track(_CAN,featureTracker)},trackFace:function(){zones.face=[];faceTrackerTask=
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tracking.track(_CAN,faceTracker)}};faceTracker=new tracking.ObjectTracker(["face"]);featureTracker=new tracking.ObjectTracker(["eye","mouth"]);faceTracker.setInitialScale(1);featureTracker.setInitialScale(1);faceTracker.setStepSize(1.2);featureTracker.setStepSize(1.2);faceTracker.setEdgesDensity(.1);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})});
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0<zones[a].length?log(a+" recognition done","[Tracking.js]"):log(a+" recognition failed","[Tracking.js]");process.apply(DOM.imageLoader)};faceTracker.on("track",function(a){return trackerCallback.apply(this,["face",a])});featureTracker.on("track",function(a){return trackerCallback.apply(this,["feature",a])});process=function(){if(initialized&&this instanceof HTMLImageElement){console.time("PROCESS");this.src!=last&&(zones.face=[],zones.feature=[],exec=!1,last=this.src);exec||(this.defaultWidth=this.width,
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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();filterManager.get("haar_face").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*
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_CAN.width,e=zones.feature[a].h*_CAN.height,_CON.lineWidth=5,_CON.strokeStyle="#f00",_CON.strokeRect(c,b,d,e);for(a in zones.face)c=zones.face[a].x*_CAN.width,b=zones.face[a].y*_CAN.height,d=zones.face[a].w*_CAN.width,e=zones.face[a].h*_CAN.height,_CON.lineWidth=5,_CON.strokeStyle="#ff0",_CON.strokeRect(c,b,d,e);console.timeEnd("PROCESS")}};filterManager=new ReactiveFilterManager(DOM.imageLoader,_CAN,process);filterManager.add("resolution",reactiveResolution);filterManager.add("contrast",reactiveContrast);
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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("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"));
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Controller.remember(filterManager.get("haar_face"));Controller.addFolder("Tracking.js");Controller.add(track,"trackFace");Controller.add(track,"trackFeatures");Controller.addFolder("Haar Face Detection");Controller.add(filterManager.get("haar_face"),"active");Controller.add(filterManager.get("haar_face"),"min_scale",1,4).step(.1);Controller.add(filterManager.get("haar_face"),"scale_factor",1.1,2).step(.025);Controller.add(filterManager.get("haar_face"),"equalize_histogram");Controller.add(filterManager.get("haar_face"),
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"use_canny");Controller.add(filterManager.get("haar_face"),"edges_density",.01,1).step(.005);Controller.addFolder("Image Resolution");Controller.add(filterManager.get("resolution"),"width",0,2).step(.1);Controller.add(filterManager.get("resolution"),"height",0,2).step(.1);Controller.addFolder("Basic Image Processing");Controller.add(filterManager.get("contrast"),"contrast",0,100);Controller.add(filterManager.get("grayscale"),"grayscale");Controller.addFolder("Gaussian Blur");Controller.add(filterManager.get("gaussian"),
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"active");Controller.add(filterManager.get("gaussian"),"sigma",0,10).step(.5);Controller.add(filterManager.get("gaussian"),"radius",1,11).step(1);Controller.addFolder("Sobel Filter");Controller.add(filterManager.get("sobel"),"sobelActive");Controller.addFolder("Canny Filter");Controller.add(filterManager.get("canny"),"active");Controller.add(filterManager.get("canny"),"radius",0,4).step(1);Controller.add(filterManager.get("canny"),"low_threshold",1,127).step(1);Controller.add(filterManager.get("canny"),
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"high_threshold",1,127).step(1);Controller.addFolder("Process");Controller.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});
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