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face-recognition.js
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Separation tracking(face) / tracking(eyes+mouth

This commit is contained in:
xdrm-brackets 2016-11-03 13:25:56 +01:00
parent 21a153b02c
commit 8909d5f86d
3 changed files with 76 additions and 43 deletions
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94
public_html/js/action-script.js
View File

@ -34,14 +34,17 @@
var process = function(){};
var exec = false;
var last;
var trackerTask;
var trackerTask;
var featureTrackerTask;
var faceTrackerTask;
var trackerCallback;
var Controller,
init,
zones,
featureZones,
faceZones,
track,
tracker,
featureTracker,
faceTracker,
initialized = false;
}
@ -61,54 +64,62 @@ ControllerRememberer.fetch(function(loaded_data){
/* (1) Image par défaut */
this.src = 'front/male/1.jpg';
/* (2) Attachement de dat.GUI */
/* (2) Initialization */
last = this.src;
initialized = true;
/* (3) Attachment to dat.GUI */
Controller.addFolder('Source Picture');
Controller.remember(this);
Controller.add(this, 'src', this._images).listen();
last = this.src;
initialized = true;
};
/* (2) Gestion de tracking.js */
zones;
featureZones = [];
faceZones = [];
/* (3) Gestion du track de l'image */
track = {
track: function(){
zones = [];
trackerTask = tracking.track(_CAN, tracker);
trackFeatures: function(){
featureZones = [];
featureTrackerTask = tracking.track(_CAN, featureTracker);
},
trackFace: function(){
faceZones = [];
faceTrackerTask = tracking.track(_CAN, faceTracker);
}
};
tracker = new tracking.ObjectTracker(['face', 'eye', 'mouth']);
/* (4) Initializing `Tracking.js` */
faceTracker = new tracking.ObjectTracker(['face']);
featureTracker = new tracking.ObjectTracker(['eye', 'mouth']);
tracker.setStepSize(1.9);
faceTracker.setStepSize(1.5);
featureTracker.setStepSize(1.5);
Controller.addFolder('Tracking.js');
Controller.add(track, 'track');
trackerCallback = function(zones, e){
tracker.on('track', function(event){
event.data.forEach(function(rect){
zones.length = 0;
e.data.forEach(function(rect){
zones.push({
x: rect.x / _CAN.width,
y: rect.y / _CAN.height,
w: rect.width / _CAN.width,
h: rect.height / _CAN.height
});
});
// On enregistre dans `zones` les zones trackées
// On enregistre dans `featureZones` les featureZones trackées
log('Recognition done', '[Tracking.js]');
// On met à jour le rendu (affichage des zones)
process.bind(DOM.imageLoader)();
// On met à jour le rendu (affichage des featureZones)
process.apply(DOM.imageLoader);
}
});
faceTracker.on('track', function(e){ return trackerCallback.apply(this, [faceZones, e]); });
featureTracker.on('track', function(e){ return trackerCallback.apply(this, [featureZones, e]); });
}
@ -125,7 +136,8 @@ ControllerRememberer.fetch(function(loaded_data){
/* [0.0] Gestion du changement d'image
=========================================================*/
if( this.src != last ){
zones = [];
faceZones = [];
featureZones = [];
exec = false;
last = this.src;
}
@ -179,11 +191,12 @@ ControllerRememberer.fetch(function(loaded_data){
=========================================================*/
/* (1) On reporte chaque zone trackée sur le `<canvas>` */
for( var i in zones ){
var x = zones[i].x * _CAN.width;
var y = zones[i].y * _CAN.height;
var w = zones[i].w * _CAN.width;
var h = zones[i].h * _CAN.height;
var i, x, y, w, h;
for( i in featureZones ){
x = featureZones[i].x * _CAN.width;
y = featureZones[i].y * _CAN.height;
w = featureZones[i].w * _CAN.width;
h = featureZones[i].h * _CAN.height;
_CON.beginPath();
_CON.moveTo( x, y );
_CON.lineTo( x, y+h );
@ -195,7 +208,23 @@ ControllerRememberer.fetch(function(loaded_data){
_CON.stroke();
}
for( i in faceZones ){
x = faceZones[i].x * _CAN.width;
y = faceZones[i].y * _CAN.height;
w = faceZones[i].w * _CAN.width;
h = faceZones[i].h * _CAN.height;
_CON.beginPath();
_CON.moveTo( x, y );
_CON.lineTo( x, y+h );
_CON.lineTo( x+w, y+h );
_CON.lineTo( x+w, y );
_CON.lineTo( x, y );
_CON.lineWidth = 5;
_CON.strokeStyle = '#ff0';
_CON.stroke();
}
}
{ /* [5] Filtrage post-processing
@ -228,6 +257,9 @@ ControllerRememberer.fetch(function(loaded_data){
Controller.remember(filterManager.get('gaussian'));
/* (4) On attache tout à dat.GUI */
Controller.addFolder('Tracking.js');
Controller.add(track, 'trackFace');
Controller.add(track, 'trackFeatures');
Controller.addFolder('Image Resolution');
Controller.add(filterManager.get('resolution'), 'width', 0, 2).step(0.1);//listen();
Controller.add(filterManager.get('resolution'), 'height', 0, 2).step(0.1);//listen();

17
public_html/js/min/action-script.js
View File

@ -1,8 +1,9 @@
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,trackerTask,Controller,init,zones,track,tracker,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(){this.src="front/male/1.jpg";Controller.addFolder("Source Picture");Controller.remember(this);Controller.add(this,"src",this._images).listen();last=this.src;initialized=!0};zones;track={track:function(){zones=[];trackerTask=tracking.track(_CAN,tracker)}};tracker=new tracking.ObjectTracker(["face","eye","mouth"]);tracker.setStepSize(1.9);Controller.addFolder("Tracking.js");
Controller.add(track,"track");tracker.on("track",function(b){b.data.forEach(function(a){zones.push({x:a.x/_CAN.width,y:a.y/_CAN.height,w:a.width/_CAN.width,h:a.height/_CAN.height})});log("Recognition done","[Tracking.js]");process.bind(DOM.imageLoader)()});process=function(){if(initialized&&this instanceof HTMLImageElement){console.time("PROCESS");this.src!=last&&(zones=[],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("sobel").apply();filterManager.get("gaussian").apply();filterManager.get("canny").apply();for(var b in zones){var a=zones[b].x*_CAN.width,c=zones[b].y*_CAN.height,d=zones[b].w*_CAN.width,e=zones[b].h*_CAN.height;_CON.beginPath();_CON.moveTo(a,c);_CON.lineTo(a,c+e);_CON.lineTo(a+d,c+e);_CON.lineTo(a+d,c);_CON.lineTo(a,c);_CON.lineWidth=5;_CON.strokeStyle="#f00";
_CON.stroke()}console.timeEnd("PROCESS")}};filterManager=new ReactiveFilterManager(DOM.imageLoader,_CAN,process);filterManager.add("resolution",reactiveResolution);filterManager.add("contrast",reactiveContrast);filterManager.add("sobel",reactiveSobel);filterManager.add("gaussian",reactiveGaussianBlur);filterManager.add("canny",reactiveCanny);Controller.remember(filterManager.get("resolution"));Controller.remember(filterManager.get("contrast"));Controller.remember(filterManager.get("sobel"));Controller.remember(filterManager.get("canny"));
Controller.remember(filterManager.get("gaussian"));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.addFolder("Gaussian Blur");Controller.add(filterManager.get("gaussian"),"sigma",0,10).step(.5);Controller.add(filterManager.get("gaussian"),"radius",
1,11).step(1);Controller.addFolder("Convolution Filters");Controller.add(filterManager.get("sobel"),"sobelActive");Controller.add(filterManager.get("canny"),"canny_radius");Controller.__save_row.children[2].addEventListener("click",function(){Controller.save();try{var b=JSON.stringify(Controller.getSaveObject());ControllerRememberer.store(b,function(){log("dat.GUI preset stored.","[PermanentStorage]");return!0})}catch(a){log("Corrupted data.","[PermanentStorage]")}},!1);iL=new ImageLoader(DOM.imageLoader,
init,process);return!0});
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,featureZones,faceZones,track,featureTracker,faceTracker,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;Controller.addFolder("Source Picture");Controller.remember(this);Controller.add(this,"src",this._images).listen()};featureZones=[];faceZones=[];track={trackFeatures:function(){featureZones=[];featureTrackerTask=tracking.track(_CAN,featureTracker)},trackFace:function(){faceZones=[];faceTrackerTask=
tracking.track(_CAN,faceTracker)}};faceTracker=new tracking.ObjectTracker(["face"]);featureTracker=new tracking.ObjectTracker(["eye","mouth"]);faceTracker.setStepSize(1.5);featureTracker.setStepSize(1.5);trackerCallback=function(a,c){a.length=0;c.data.forEach(function(b){a.push({x:b.x/_CAN.width,y:b.y/_CAN.height,w:b.width/_CAN.width,h:b.height/_CAN.height})});log("Recognition done","[Tracking.js]");process.apply(DOM.imageLoader)};faceTracker.on("track",function(a){return trackerCallback.apply(this,
[faceZones,a])});featureTracker.on("track",function(a){return trackerCallback.apply(this,[featureZones,a])});process=function(){if(initialized&&this instanceof HTMLImageElement){console.time("PROCESS");this.src!=last&&(faceZones=[],featureZones=[],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("sobel").apply();
filterManager.get("gaussian").apply();filterManager.get("canny").apply();var a,c,b,d,e;for(a in featureZones)c=featureZones[a].x*_CAN.width,b=featureZones[a].y*_CAN.height,d=featureZones[a].w*_CAN.width,e=featureZones[a].h*_CAN.height,_CON.beginPath(),_CON.moveTo(c,b),_CON.lineTo(c,b+e),_CON.lineTo(c+d,b+e),_CON.lineTo(c+d,b),_CON.lineTo(c,b),_CON.lineWidth=5,_CON.strokeStyle="#f00",_CON.stroke();for(a in faceZones)c=faceZones[a].x*_CAN.width,b=faceZones[a].y*_CAN.height,d=faceZones[a].w*_CAN.width,
e=faceZones[a].h*_CAN.height,_CON.beginPath(),_CON.moveTo(c,b),_CON.lineTo(c,b+e),_CON.lineTo(c+d,b+e),_CON.lineTo(c+d,b),_CON.lineTo(c,b),_CON.lineWidth=5,_CON.strokeStyle="#ff0",_CON.stroke();console.timeEnd("PROCESS")}};filterManager=new ReactiveFilterManager(DOM.imageLoader,_CAN,process);filterManager.add("resolution",reactiveResolution);filterManager.add("contrast",reactiveContrast);filterManager.add("sobel",reactiveSobel);filterManager.add("gaussian",reactiveGaussianBlur);filterManager.add("canny",
reactiveCanny);Controller.remember(filterManager.get("resolution"));Controller.remember(filterManager.get("contrast"));Controller.remember(filterManager.get("sobel"));Controller.remember(filterManager.get("canny"));Controller.remember(filterManager.get("gaussian"));Controller.addFolder("Tracking.js");Controller.add(track,"trackFace");Controller.add(track,"trackFeatures");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.addFolder("Gaussian Blur");Controller.add(filterManager.get("gaussian"),"sigma",0,10).step(.5);Controller.add(filterManager.get("gaussian"),"radius",1,11).step(1);Controller.addFolder("Convolution Filters");Controller.add(filterManager.get("sobel"),"sobelActive");Controller.add(filterManager.get("canny"),"canny_radius");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});

2
public_html/permanent-storage/storage.json
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@ -1 +1 @@
{"preset":"test1","remembered":{"default":{"0":{"width":1.8,"height":0.5},"1":{"contrast":0},"2":{"sobelActive":false},"3":{"canny_radius":3},"4":{"sigma":0,"radius":3},"5":{"src":"front/male/1.jpg"}},"test1":{"0":{"width":1.8,"height":0.5},"1":{"contrast":55.27520549370516},"2":{"sobelActive":false},"3":{"canny_radius":3},"4":{"sigma":0,"radius":3},"5":{"src":"front/male/1.jpg"}}},"closed":false,"folders":{"Tracking.js":{"preset":"Default","closed":true,"folders":{}},"Image Resolution":{"preset":"Default","closed":true,"folders":{}},"Basic Image Processing":{"preset":"Default","closed":true,"folders":{}},"Gaussian Blur":{"preset":"Default","closed":true,"folders":{}},"Convolution Filters":{"preset":"Default","closed":true,"folders":{}},"Source Picture":{"preset":"Default","closed":true,"folders":{}}}}
{"preset":"default","remembered":{"default":{"0":{"width":1,"height":1},"1":{"contrast":0},"2":{"sobelActive":false},"3":{"canny_radius":3},"4":{"sigma":6,"radius":3},"5":{"src":"front/male/1.jpg"}},"test1":{"0":{"width":1.8,"height":0.5},"1":{"contrast":55.27520549370516},"2":{"sobelActive":false},"3":{"canny_radius":3},"4":{"sigma":0,"radius":3},"5":{"src":"front/male/1.jpg"}}},"closed":false,"folders":{"Tracking.js":{"preset":"Default","closed":true,"folders":{}},"Image Resolution":{"preset":"Default","closed":true,"folders":{}},"Basic Image Processing":{"preset":"Default","closed":true,"folders":{}},"Gaussian Blur":{"preset":"Default","closed":true,"folders":{}},"Convolution Filters":{"preset":"Default","closed":true,"folders":{}},"Source Picture":{"preset":"Default","closed":true,"folders":{}}}}