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LABCAT/.block

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Created August 7, 2017 01:03
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17.2.MDDN342 PS2
Raw
.block
license: mit
Raw
.focused_random.js
function resetFocusedRandom() {
return Math.seedrandom(arguments);
}
function focusedRandom(min, max, focus, mean) {
// console.log("hello")
if(max === undefined) {
max = min;
min = 0;
}
if(focus === undefined) {
focus = 1.0;
}
if(mean === undefined) {
mean = (min + max) / 2.0;
}
if(focus == 0) {
return d3.randomUniform(min, max)();
}
else if(focus < 0) {
focus = -1 / focus;
}
sigma = (max - mean) / focus;
val = d3.randomNormal(mean, sigma)();
if (val > min && val < max) {
return val;
}
return d3.randomUniform(min, max)();
}
Raw
.purview_helper.js
// note: this file is poorly named - it can generally be ignored.
// helper functions below for supporting blocks/purview
function saveBlocksImages(doZoom) {
if(doZoom == null) {
doZoom = false;
}
// generate 960x500 preview.jpg of entire canvas
// TODO: should this be recycled?
var offscreenCanvas = document.createElement('canvas');
offscreenCanvas.width = 960;
offscreenCanvas.height = 500;
var context = offscreenCanvas.getContext('2d');
// background is flat white
context.fillStyle="#FFFFFF";
context.fillRect(0, 0, 960, 500);
context.drawImage(this.canvas, 0, 0, 960, 500);
// save to browser
var downloadMime = 'image/octet-stream';
var imageData = offscreenCanvas.toDataURL('image/jpeg');
imageData = imageData.replace('image/jpeg', downloadMime);
p5.prototype.downloadFile(imageData, 'preview.jpg', 'jpg');
// generate 230x120 thumbnail.png centered on mouse
offscreenCanvas.width = 230;
offscreenCanvas.height = 120;
// background is flat white
context = offscreenCanvas.getContext('2d');
context.fillStyle="#FFFFFF";
context.fillRect(0, 0, 230, 120);
if(doZoom) {
// pixelDensity does the right thing on retina displays
var pd = this._pixelDensity;
var sx = pd * mouseX - pd * 230/2;
var sy = pd * mouseY - pd * 120/2;
var sw = pd * 230;
var sh = pd * 120;
// bounds checking - just displace if necessary
if (sx < 0) {
sx = 0;
}
if (sx > this.canvas.width - sw) {
sx = this.canvas.width - sw;
}
if (sy < 0) {
sy = 0;
}
if (sy > this.canvas.height - sh) {
sy = this.canvas.height - sh;
}
// save to browser
context.drawImage(this.canvas, sx, sy, sw, sh, 0, 0, 230, 120);
}
else {
// now scaledown
var full_width = this.canvas.width;
var full_height = this.canvas.height;
context.drawImage(this.canvas, 0, 0, full_width, full_height, 0, 0, 230, 120);
}
imageData = offscreenCanvas.toDataURL('image/png');
imageData = imageData.replace('image/png', downloadMime);
p5.prototype.downloadFile(imageData, 'thumbnail.png', 'png');
}
Raw
README.md

PS2 MDDN 342 2017

Final Version

At the beginning of this assignment I had a goal of creating a tool can convert portrait photos in robot faces. I have come very close to achieving that goal. The only thing missing is the ability for someone to upload their own photo.

The project was quite challenging as it required some out of the box thinking to turn the provided data into features that would appear on a robot face. I started with the most basic features your expect to find on a robot, the eyes and the mouth. As I worked with the code I started to think of other ways I could use the data. A great example of this is the antennas and static electricity with have been created from the eyebrow data.

The last three parts of the assignment involved refining the output by adding variation based on the features present in the face. I added several variable properties to the face which has greatly enhanced the output. There is also a lot more variation available as a result of this. I think the most effective variable features that I added are the hair length, smile size, facial hair length and earrings settings.

I spent a fair amount of time testing the output using the "TrainQuiz" and "ValidQuiz" modes and made adjustment to both the code and training data as a result of the testing. I think these modes are reasonably successful. However it would probably take a bit of practise to consistently get the right answer for someone who is not as familiar with the faces as I am.

There are couple of rules you can be considered that will assist in picking the correct face:

  • No hair or wearing a hat | Robot will have a glass dome
  • Wearing earrings | Robot will have side antennas as well as antennas on the top
  • Hair length | The longer the hair the more static electricity above the robots head
  • Smile size | The bigger the smile the bigger the audio wave inside the robots mouth
  • Facial hair | Determines the size of the grill below the robots mouth
  • Skin tone | Darker skin tone results in a darker robot
  • Lip vibrancy | The outer mouth of the robot will be brighter the more vibrant the lips are
  • Eye brightness | The brighter the eyes are the easier it will be to see the robots eyes

For the final submission I have not altered the code except to clean it up and improve the commenting. I have replaced all the previous images I had for the face map mode with new ones. My previous images were images related to sci-fi themes which well with my robot face. However I decided that since I needed to update the images anyway I would choose another theme. I have chosen to use DJ'ing as the theme which I think also works well with the robot face as it involves creating sound using mechanical means.

Raw
face.js
/*
* Face class - holds all informaiton about one face
*/
function Face() {
// these are state variables for a face
// (your variables may be different)
this.tilt_value = 0;
this.eye_value = 2;
this.mouth_value = 0;
// other variables can be in here too
// these control the colors used
this.bg_color = [225, 206, 187];
this.fg_color = [151, 102, 52];
this.stroke_color = [95, 52, 8];
/*
* Draw a face centered at x,y with an allowed
* width and height of w,h.
*/
this.draw1 = function(x, y, w, h) {
//Uncomment to see drawing area
// fill(255);
// stroke(0);
// rect(x-w/2, y-h/2, w, h);
// fill(0)
// ellipse(x, y, w, h);
push();
translate(x, y);
rotate(this.tilt_value);
var extent = 0;
if(h < w) {
extent = h / 2;
}
else {
extent = w / 2;
}
var scaleVar = extent / 220.0;
rectMode(CENTER);
scale(0.25);
colorMode(HSB);
stroke(this.hue, 50, 90);
fill(this.hue, 90, 50);
var minimizer = 0.5;
//antenna
var yVariation = ((300 + this.face_height) * minimizer) /2;
var xVariation = (300 * minimizer) /2;
if(this.eye_value == 1 || this.eye_value == 3){
triangle(-20, -20, 0, -40 - yVariation, 20, -20);
ellipse(0, 10 - yVariation, 40, 40);
ellipse(0, -40 - yVariation, 15, 15);
}
if(this.eye_value == 2 || this.eye_value == 4){
triangle(-10, -10, -50, -45 - yVariation, 10, -10);
ellipse(-50, -45 - yVariation, 10, 10);
triangle(-10, -10, 50, -45 - yVariation, 10, -10);
ellipse(50, -45 - yVariation, 10, 10);
}
if(this.eye_value == 3 || this.eye_value == 4){
//left antenna
stroke(this.hue, 90, 50);
fill(this.hue, 50, 90);
strokeWeight(0);
rect(-xVariation, -40, 130, 5);
noFill();
strokeWeight(4);
ellipse(-xVariation - 40, -40, 12, 50);
ellipse(-xVariation - 60, -40, 8, 30);
//right antenna
stroke(this.hue, 90, 50);
fill(this.hue, 50, 90);
strokeWeight(0);
rect(xVariation, -40, 130, 5, 20, 20);
noFill();
strokeWeight(4);
ellipse(xVariation + 40, -40, 12, 50);
ellipse(xVariation + 60, -40, 8, 30);
}
stroke(this.hue, 50, 90);
strokeWeight(1);
fill(this.hue, 90, 50);
//head
var bottomCorners = this.face_shape - 50;
bottomCorners = bottomCorners > 0 ? bottomCorners : 0;
if(this.face_shape <= 100) {
rect(0, 0, 300 * minimizer, (300 + this.face_height) * minimizer, this.face_shape, this.face_shape, bottomCorners, bottomCorners);
}
else {
bottomCorners = bottomCorners - ((this.face_shape - 100) * 2);
bottomCorners = bottomCorners > 0 ? bottomCorners : 0;
if(this.face_shape >= 150){
quad(xVariation - 5, yVariation*0.25, xVariation + ((this.face_shape - 150) / 10), yVariation*0.25, xVariation + (this.face_shape - 150), yVariation - 5, xVariation - 5, yVariation - 5);
quad(-xVariation - 1, yVariation*0.25, -xVariation - 1 - ((this.face_shape - 150) / 10), yVariation*0.25, -xVariation - (this.face_shape - 150), yVariation - 5, -xVariation + 1, yVariation - 5);
}
rect(0, 0, 300 * minimizer, (300 + this.face_height) * minimizer, this.face_shape, this.face_shape, bottomCorners, bottomCorners);
}
//eyes
var i=40;
var fillObj = {
40: [0, 0, 100],
16: [0, 0, 0],
8: [hue, 50, 90]
}
var xPos=(25 + this.eye_distance), yPos=-40;
//eyes holder
rect(0, yPos, 110 + (this.eye_distance*2), 60, 45, 45, 45, 45);
fill(0);
rect(0, yPos, 100 + (this.eye_distance*2), 50, 45, 45, 45, 45);
stroke(0);
while(i>=8){
if(i == 40 || i == 16){
fill(fillObj[i][0], fillObj[i][1],fillObj[i][2]);
//left eye
ellipse(-xPos, yPos, i, i);
//right_eye
ellipse(xPos, yPos, i, i);
}
if(i == 8){
fill(fillObj[i][0], fillObj[i][1],fillObj[i][2]);
//left eye
rect(-xPos, yPos, i, i);
//right_eye
rect(xPos, yPos, i, i);
}
i=i-8;
}
// mouth
noFill();
stroke(this.hue, 30, 90);
strokeWeight(2);
var i=40, j=50;
if(this.mouth_style <= 20){
i=35, j=55;
}
while(i<=j){
line(-this.mouth_style, i, this.mouth_style, i);
if(this.mouth_style < 30){
line(-50, i, -35, i);
line(50, i, 35, i);
}
if(this.mouth_style < 20){
line(-30, i, -this.mouth_style - 5, i);
line(30, i, this.mouth_style + 5, i);
}
i = i + 5;
}
colorMode(RGB);
rectMode(CORNER);
pop();
}
/*
* Draw a face with position lists that include:
* chin, right_eye, left_eye, right_eyebrow, left_eyebrow
* bottom_lip, top_lip, nose_tip, nose_bridge,
*/
this.draw2 = function(positions) {
var nose_pos = average_point(positions.nose_bridge);
var eye1_pos = average_point(positions.left_eye);
var eye2_pos = average_point(positions.right_eye);
var half_height = positions.chin[7][1] - nose_pos[1];
var face_width = positions.chin[positions.chin.length-1][0] - positions.chin[0][0];
var x = nose_pos[0];
var y = nose_pos[1];
var w = 2 * face_width;
var h = 2.5 * half_height;
var extent = 0;
if(h < w) {
extent = h / 2;
}
else {
extent = w / 2;
}
var scale = extent / 220.0;
// Uncomment to see drawing area
// fill(255);
// stroke(0);
// rect(x-w/2, y-h/2, w, h);
// fill(0)
// ellipse(x, y, w, h);
push();
translate(x, y);
rotate(this.tilt_value);
// head
stroke(this.stroke_color);
fill(this.fg_color);
ellipse(0, 0, 300 * scale, 400 * scale);
noStroke();
// mouth
fill(this.bg_color);
ellipse(0 * scale, 70 * scale, 150 * scale, this.mouth_value * scale);
pop();
noStroke();
fill(this.bg_color);
ellipse(eye1_pos[0], eye1_pos[1], 50 * scale, 30 * scale);
ellipse(eye2_pos[0], eye2_pos[1], 50 * scale, 30 * scale);
fill(this.fg_color);
ellipse(eye1_pos[0], eye1_pos[1], 20 * scale, 20 * scale);
ellipse(eye2_pos[0], eye2_pos[1], 20 * scale, 20 * scale);
}
/*
* Update internal state variables to a random state.
*/
this.randomize = function(values, size) {
this.eye_value = getRandomNumberOfEyes();
this.tilt_value = focusedRandom(-45, 45);
this.mouth_value = focusedRandom(0, 50, 4, 1);
var randomPointer = floor(random(1, 10));
this.hue = focusedRandom(this.robotHueRanges[randomPointer][0], this.robotHueRanges[randomPointer][1], 10, this.robotHueRanges[randomPointer][2]);
this.eye_distance = focusedRandom(50, 0);
this.mouth_style = focusedRandom(50, 10);
//the actual range of values for face_shape is 0-200 but I want the value for face shape to be either close to 0 or 200
//so I have focused the random value around a mean of 200 between a range of 100 and 300
this.face_shape = focusedRandom(100, 300, 10, 200);
//and if the value ends up being greater than 200
if(this.face_shape > 200){
//make it closer to zero
this.face_shape = this.face_shape - 200;
}
this.face_height = focusedRandom(0, 120);
}
/*
* JSON object consisting of six hue ranges
* used to ensure each robot has a unique hue
* the third element of each array is the midpoint of the range
* which is used to set the mean value for the focusedRandom function
*/
this.robotHueRanges = {
1 : [-20, 20, 0],
2 : [21, 60, 40],
3 : [61, 100, 80],
4 : [101, 140, 120],
5 : [141, 180, 160],
6 : [181, 220, 200],
7 : [221, 260, 240],
8 : [261, 300, 280],
9 : [301, 340, 320]
}
}
// global functions can also be in this file below
function getRandomNumberOfEyes() {
random_result = focusedRandom(0, 100);
var random_result = focusedRandom(0, 100);
if(random_result < 10) {
return 1;
}
else if(random_result < 25) {
return 2;
}
else if(random_result < 75) {
return 3;
}
else {
return 4;
}
}
// given a point, return the average
function average_point(list) {
var sum_x = 0;
var sum_y = 0;
var num_points = 0;
for(var i=0; i<list.length; i++) {
sum_x += list[i][0];
sum_y += list[i][1];
num_points += 1;
}
return [sum_x / num_points, sum_y / num_points];
}
Raw
face_data.json
[
{
"url":"z_face1.jpg",
"landmarks":[
{
"left_eyebrow":[
[
-1.5601984149321322,
-1.5750993974343064
],
[
-1.2939438501086777,
-1.622831159120347
],
[
-1.0032179734158935,
-1.5520930184345616
],
[
-0.7442285809081478,
-1.4239362196417904
],
[
-0.4852391884004021,
-1.2957794208490185
]
],
"chin":[
[
-1.7140373876468513,
-1.4052651472185846
],
[
-1.6759925223817556,
-0.904492501756714
],
[
-1.6074220349842396,
-0.431823754322027
],
[
-1.481432889479738,
0.07258147729769826
],
[
-1.2968142238156322,
0.5794084330226598
],
[
-1.020618691754266,
1.0019236946660697
],
[
-0.7138975375604794,
1.3963350582822958
],
[
-0.3485468632070887,
1.793168146003758
],
[
0.11927843601712572,
1.8418566989254503
],
[
0.5895254593465765,
1.8319157316875385
],
[
0.9827259609101843,
1.5545093375735541
],
[
1.3221403905246607,
1.1574221790351253
],
[
1.5455066418725472,
0.7261768122064216
],
[
1.7138759592186836,
0.20456544103307572
],
[
1.8224048943525983,
-0.29015289416570444
],
[
1.932144691539131,
-0.8141859894442867
],
[
1.9844658306186778,
-1.3699555689079073
]
],
"right_eyebrow":[
[
0.21952591556746487,
-1.2960334916659855
],
[
0.5187278266285759,
-1.4304986715388144
],
[
0.8753483957966728,
-1.5332273672266046
],
[
1.2295472408595334,
-1.577326542754791
],
[
1.5789026377119217,
-1.5041666779637692
]
],
"transform":{
"scale":34.08344511210503,
"center":[
400.34722222222223,
226.44444444444446
],
"angle":-0.04128207486174474
},
"bottom_lip":[
[
0.8346872276415894,
0.8730046834223983
],
[
0.5013271082902037,
1.1235180415618173
],
[
0.20575778338694703,
1.1700389411952399
],
[
-0.058075057331271274,
1.1591411827216767
],
[
-0.32069703599687144,
1.1189286641683112
],
[
-0.5503716684248152,
0.991982727428158
],
[
-0.773991990589668,
0.7184629902889945
],
[
-0.6872585724028802,
0.751410336526651
],
[
-0.279273655390888,
0.826991925422909
],
[
-0.04838816091032614,
0.9246231020832604
],
[
0.1873407817807083,
0.9049952384244033
],
[
0.716217325269763,
0.8974759952917278
]
],
"top_lip":[
[
-0.773991990589668,
0.7184629902889945
],
[
-0.5089482878188317,
0.7000459886827559
],
[
-0.3049558293128356,
0.7378367831308849
],
[
-0.04354471269985357,
0.8073640617640522
],
[
0.19339509204379898,
0.7584214380253932
],
[
0.4853318307892012,
0.7998448186313767
],
[
0.8346872276415894,
0.8730046834223983
],
[
0.716217325269763,
0.8974759952917278
],
[
0.1873407817807083,
0.9049952384244033
],
[
-0.04838816091032614,
0.9246231020832604
],
[
-0.2804845174435061,
0.856306685502711
],
[
-0.6872585724028802,
0.751410336526651
]
],
"nose_tip":[
[
-0.4895744949769414,
0.23100982740592324
],
[
-0.3197402447612199,
0.38484880012064226
],
[
-0.11938037241307825,
0.5105838748081774
],
[
0.11877029438319243,
0.4323264909897164
],
[
0.32881706315227927,
0.3235434850388353
]
],
"right_eye":[
[
0.4724609978121199,
-1.021302892474204
],
[
0.7166659748714814,
-1.2461340766916749
],
[
1.04155005985454,
-1.2914441142724793
],
[
1.2993285903096676,
-1.133972555399906
],
[
1.0563344753029242,
-0.9384561312622369
],
[
0.7338721144251019,
-0.9517756138410365
]
],
"left_eye":[
[
-1.2498446745804912,
-1.2686323140574864
],
[
-1.0104831457316024,
-1.3762044579557493
],
[
-0.7490720291186204,
-1.306677179322582
],
[
-0.5230299828485311,
-1.0917869623430227
],
[
-0.7892845476719857,
-1.0440552006569819
],
[
-1.0812212864173878,
-1.0854785812629655
]
],
"nose_bridge":[
[
-0.05520468362431673,
-1.0430984094213305
],
[
-0.10389323654600902,
-0.575273110197116
],
[
-0.12205616733528114,
-0.1355517090000855
],
[
-0.14021909812455327,
0.304169692196945
]
]
}
],
"embedding":[
[
-0.06393032521009445,
0.07790641486644745,
0.07726936042308807,
-0.047421280294656754,
-0.12910884618759155,
0.0111691290512681,
-0.059836383908987045,
-0.015247402712702751,
0.13055717945098877,
0.0076479739509522915,
0.13662253320217133,
0.05590102821588516,
-0.23405826091766357,
0.00730849290266633,
0.04670647531747818,
0.05514809116721153,
-0.1313813477754593,
-0.06906682997941971,
-0.12157506495714188,
-0.1304047554731369,
-0.039333898574113846,
0.03891506791114807,
0.010446496307849884,
-0.08817257732152939,
-0.17575155198574066,
-0.16092725098133087,
-0.1092488020658493,
-0.08104386925697327,
0.07305113226175308,
-0.16142390668392181,
0.06731319427490234,
-0.03855445235967636,
-0.2077731490135193,
-0.04787959158420563,
0.0027174167335033417,
-0.0103189991787076,
-0.03696673363447189,
-0.059504058212041855,
0.1758042871952057,
-0.02632639929652214,
-0.15380150079727173,
0.051917046308517456,
0.05978745222091675,
0.19060780107975006,
0.23790307343006134,
0.027524644508957863,
-0.046174414455890656,
-0.023299481719732285,
0.13887326419353485,
-0.27825066447257996,
0.11583572626113892,
0.13543006777763367,
0.04441944509744644,
0.08637586981058121,
0.072422094643116,
-0.15880760550498962,
0.00030051544308662415,
0.1820366233587265,
-0.13846583664417267,
0.11739171296358109,
0.10190916806459427,
-0.0982193723320961,
-0.10170739889144897,
-0.06982237100601196,
0.12303110212087631,
0.11221036314964294,
-0.12151023000478745,
-0.16079306602478027,
0.12895044684410095,
-0.11773807555437088,
-0.046255823224782944,
0.08307643979787827,
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0.3301736698590545,
1.0235927106767468
],
[
0.1256069450793923,
1.0214325359031884
],
[
-0.07895977970027018,
1.0192723611296297
],
[
-0.34547310836280143,
0.922032105758209
],
[
-0.6263930006092708,
0.6987384678474917
],
[
-0.5478796583689053,
0.7153052062049883
],
[
-0.060232866569215004,
0.7361922941096017
],
[
0.14433385821044722,
0.7383524688831602
],
[
0.3013605426911785,
0.7714859455981534
],
[
0.5844406097112064,
0.7902128587292084
]
],
"left_eye":[
[
-1.1896783000447966,
-1.1013025391912132
],
[
-0.9210047966087066,
-1.208629008599455
],
[
-0.6379247295886787,
-1.1899020954683999
],
[
-0.46649148152400943,
-1.03071523621411
],
[
-0.7185982466026029,
-1.0019021090462341
],
[
-0.9707050116811962,
-0.9730889818783581
]
],
"nose_tip":[
[
-0.19421228837177415,
0.010845300815256267
],
[
-0.006212301949608409,
0.0915188178291804
],
[
0.22932772477148844,
0.14121903290166998
],
[
0.4029211476097162,
0.09583916737629741
],
[
0.5455412685065094,
0.002919261551993818
]
],
"chin":[
[
-2.481185427379198,
-1.004776943650764
],
[
-2.3616125691605765,
-0.40548333289571536
],
[
-2.289579751240887,
0.2247835798007679
],
[
-2.0749268124244034,
0.7621305866729478
],
[
-1.7961670949514925,
1.1899909493633274
],
[
-1.3913539949392852,
1.603444748469769
],
[
-0.9534074182120844,
1.8598718630954796
],
[
-0.45135406282845614,
2.0068123335393895
],
[
-0.011247311327697074,
2.058672723385438
],
[
0.38347957464768945,
1.9369396903932579
],
[
0.6543132528573379,
1.6250464962053541
],
[
0.8941736291255518,
1.2656132617185192
],
[
1.0245473612119655,
0.8420732485752565
],
[
1.1073810529994481,
0.4495065373734285
],
[
1.237754785085862,
0.025966524230165877
],
[
1.28961517493191,
-0.4141402272705932
],
[
1.3249088264204614,
-0.7757336365309867
]
],
"right_eye":[
[
0.4778288001339363,
-1.0364811007038142
],
[
0.7155290016285918,
-1.191347610410987
],
[
0.9510690283496885,
-1.1416473953384974
],
[
1.0915289744729233,
-1.0300005763831386
],
[
0.94890885357613,
-0.937080670558835
],
[
0.7133688268550331,
-0.9867808856313245
]
]
},
{
"nose_bridge":[
[
0.26922555348903204,
-1.163744049716852
],
[
0.3151993658856722,
-0.8962028776415614
],
[
0.41800175305285925,
-0.6012052414149202
],
[
0.5208041402200463,
-0.3062076051882789
]
],
"top_lip":[
[
-0.7945530789754258,
0.5302584310256483
],
[
-0.4299564591364852,
0.3559414137783162
],
[
-0.035987728678348374,
0.26590943545288154
],
[
0.17664051509424109,
0.33359277259733516
],
[
0.38735311239898484,
0.2601624960493444
],
[
0.6146674114811724,
0.3699883526547468
],
[
0.7027837433387614,
0.6228434694204392
],
[
0.6038126491072656,
0.6100730605786868
],
[
0.36181229471547993,
0.4581046845123357
],
[
0.1785561615620868,
0.47470638628977957
],
[
-0.0762146016714514,
0.4217091044549241
],
[
-0.6534394652829815,
0.5283427845578026
]
],
"right_eyebrow":[
[
0.5457058414703835,
-1.5909161837298766
],
[
0.7711044940847256,
-1.6222039408169184
],
[
0.9269041630867682,
-1.5819770678238156
],
[
1.069933423247058,
-1.442779100599217
],
[
1.1012211803341,
-1.2173804479848749
]
],
"left_eyebrow":[
[
-1.3858265842950435,
-1.4376695747971904
],
[
-1.092744594536248,
-1.6815855756568219
],
[
-0.755604438848658,
-1.7990740181336071
],
[
-0.38909217254187173,
-1.8322774216884947
],
[
-0.06280677922818845,
-1.70968115624134
]
],
"transform":{
"scale":22.40737966787385,
"angle":0.3353249272368958,
"center":[
98.72222222222223,
121.63888888888889
]
},
"bottom_lip":[
[
0.7027837433387614,
0.6228434694204392
],
[
0.6223299973525553,
0.9344428074245243
],
[
0.38416093589646094,
1.0647016587430618
],
[
0.1587622832821191,
1.095989415830104
],
[
-0.09600847995141909,
1.0429921339952486
],
[
-0.4791224480356493,
0.8929394043967431
],
[
-0.7945530789754258,
0.5302584310256483
],
[
-0.6534394652829815,
0.5283427845578026
],
[
-0.04301119811656365,
0.7882213707617104
],
[
0.19707350980737642,
0.7990761331356171
],
[
0.38032964296076954,
0.7824744313581732
],
[
0.6038126491072656,
0.6100730605786868
]
],
"left_eye":[
[
-1.0429394892039163,
-1.1318171761966422
],
[
-0.7900843724382238,
-1.2199335080542313
],
[
-0.5646857198238819,
-1.2512212651412733
],
[
-0.4069704043539937,
-1.069880778455726
],
[
-0.5902265375073867,
-1.053279076678282
],
[
-0.8303112454313268,
-1.0641338390521886
]
],
"nose_tip":[
[
-0.15347617115513362,
-0.07123072023470843
],
[
0.05915207261745584,
-0.003547383090254815
],
[
0.3286088911605922,
0.09159241820554939
],
[
0.5393214884653359,
0.01816214165755861
],
[
0.651062991538584,
-0.0680385437321846
]
],
"chin":[
[
-2.4081018137317196,
-0.8451195394428946
],
[
-2.371067117241141,
-0.19638004575121948
],
[
-2.334032420750562,
0.4523594479404555
],
[
-2.1705701658771366,
1.0570407757033362
],
[
-1.8257674243181632,
1.5040067879963286
],
[
-1.3839092349955406,
1.822629595438629
],
[
-0.9292806368311654,
2.0422813086494336
],
[
-0.44719557451543956,
2.2051044470896914
],
[
0.07511636079338924,
2.2121279165279066
],
[
0.45439903594192793,
2.0799534187415234
],
[
0.7327949703911253,
1.793894898420943
],
[
0.9396762747601776,
1.4382373944880635
],
[
1.089729004358683,
1.0551234264038334
],
[
1.2250956786475902,
0.6298669388586544
],
[
1.2761773140145998,
0.23398256193267192
],
[
1.228287855150114,
-0.17467222383506312
],
[
1.1803983962856281,
-0.5833270096027982
]
],
"right_eye":[
[
0.42694086895892025,
-0.9824035630313046
],
[
0.6229674109540658,
-1.097976359040244
],
[
0.820909599417057,
-1.0724355413567392
],
[
0.9217963401163984,
-0.9185515188225423
],
[
0.780682726423954,
-0.9166358723546966
],
[
0.6248830574219115,
-0.9568627453477997
]
]
}
]
}
]
Raw
facemap.js
/*
* FaceMap class - holds all informaiton about one mapped
* face and is able to draw itself.
*/
function FaceMap() {
//variables that can be set by the sliders
this.eyebrowThickness = 50;
this.mouthOpenLevel = 50;
this.eyeBrightness = 50;
this.hairLength = 50;
this.skinTone = 50;
this.hasEarings = 0;
this.lipVibrancy = 0;
this.facialHair = 0;
/*
* Draw a face with position lists that include:
* chin, right_eye, left_eye, right_eyebrow, left_eyebrow
* bottom_lip, top_lip, nose_tip, nose_bridge,
*/
this.draw = function(positions, allowRandomize = true) {
/* most of time a random hue will be used
* however for the TrainQuiz and ValidQuiz modes the hue will be the same
* so that it easier to tell the differences in the four small faces.
*/
if(allowRandomize){
this.randomize();
}
else {
this.hue = 200;
}
var nose_pos = average_point(positions.nose_bridge);
var eye1_pos = average_point(positions.left_eye);
var eye2_pos = average_point(positions.right_eye);
var half_height = positions.chin[7][1] - nose_pos[1];
var face_width = positions.chin[positions.chin.length-1][0] - positions.chin[0][0];
var chin_nose_diff_x = positions.chin[8][0] - positions.nose_bridge[0][0];
var chin_nose_diff_y = positions.chin[8][1] - positions.nose_bridge[0][1];
var x = nose_pos[0];
var y = nose_pos[1];
var w = 2 * face_width;
var h = 2.5 * half_height;
var extent = 0;
if(h < w) {
extent = h / 2;
}
else {
extent = w / 2;
}
var scale = extent / 220.0;
colorMode(HSB);
rectMode(CENTER);
//set some variables that will be used throughout the face
var tone = map(this.skinTone, 100, 0, 20, 60);
var vibrancy = map(this.lipVibrancy, 0, 100, 0, 80);
var reverseTone = map(this.skinTone, 100, 0, 50, 20);
/**************************************************/
/*** draw the neck using the nose data ***/
/**************************************************/
stroke(this.hue, tone, 90);
fill(this.hue, 90, tone);
var yPos = positions.nose_bridge[0][1];
var noseWidth = (positions.nose_tip[4][0] - positions.nose_tip[0][0]) / 4;
for(var i=0; i < positions.nose_bridge.length; i++){
if(i == 0){
yPos = yPos + (8 * scale) + chin_nose_diff_y;
}
else {
yPos = yPos + (8 * scale);
}
rect(positions.nose_bridge[i][0] + chin_nose_diff_x, yPos, noseWidth * (i + 1), 8 * scale);
}
//set some variables that used to draw the robots antennas and static electricity
var leftAntennaIndex = 0;
var rightAntennaIndex = 4;
var staticElectricityStroke = [this.hue,100,reverseTone];
var hair = map(this.hairLength, 0, 100, 0, 5);
/****************************************************/
/*** if the person has no hair, give them a dome ***/
/****************************************************/
if(!hair){
leftAntennaIndex = 2;
rightAntennaIndex = 2;
staticElectricityStroke = [48,97,100];
//dome
fill(193, 18, 95, 0.5);
stroke(191, 41, 95);
strokeWeight(0.05);
beginShape();
vertex(positions.left_eyebrow[4][0]-(20*scale), positions.left_eyebrow[4][1]-(20*scale));
vertex(positions.left_eyebrow[0][0]-(20*scale), positions.left_eyebrow[0][1]-(20*scale));
if((positions.left_eyebrow[0][0] - positions.chin[0][0]) > 0.5){
vertex(positions.chin[0][0]-(20*scale), positions.chin[0][1]);
curveVertex(positions.nose_bridge[0][0] - 1.5, positions.nose_bridge[0][1] - 2);
}
else {
curveVertex(positions.nose_bridge[0][0] - 1.2, positions.nose_bridge[0][1] - 2);
}
curveVertex(positions.nose_bridge[0][0], positions.nose_bridge[0][1] - 2.5);
if((positions.chin[16][0] - positions.right_eyebrow[4][0]) > 0.5){
curveVertex(positions.nose_bridge[0][0] + 1.5, positions.nose_bridge[0][1] - 2);
vertex(positions.chin[16][0]+(20*scale), positions.chin[16][1]);
}
else {
curveVertex(positions.nose_bridge[0][0] + 1.2, positions.nose_bridge[0][1] - 2);
}
vertex(positions.right_eyebrow[4][0]+(20*scale), positions.right_eyebrow[4][1]-(20*scale));
vertex(positions.right_eyebrow[0][0]+(20*scale), positions.right_eyebrow[0][1]-(20*scale));
endShape(CLOSE);
}
/****************************************************/
/*** static electricty between antennas ***/
/****************************************************/
noFill();
var thickness = map(this.eyebrowThickness, 0, 100, 0.11, 0.21);
stroke(staticElectricityStroke);
strokeWeight(thickness);
beginShape();
vertex(positions.left_eyebrow[leftAntennaIndex][0], positions.left_eyebrow[2][1]-(60*scale));
vertex(positions.left_eyebrow[leftAntennaIndex][0] + 32 * scale, positions.left_eyebrow[2][1]-(60*scale));
var x = positions.left_eyebrow[leftAntennaIndex][0] + (32 * scale);
var limit = positions.right_eyebrow[rightAntennaIndex][0] - (64 * scale);
var averageY = ((positions.left_eyebrow[2][1]-(60*scale)) + (positions.right_eyebrow[2][1]-(60*scale))) / 2;
var yIncrement = true;
while( x < limit){
x = x + 32 * scale;
if(yIncrement){
var yValue = averageY+(16 * scale);
yIncrement = false;
}
else {
var yValue = averageY-(16 * scale);
yIncrement = true;
}
vertex(x,yValue);
}
vertex(positions.right_eyebrow[rightAntennaIndex][0] - 32 * scale, positions.right_eyebrow[2][1]-(60*scale));
vertex(positions.right_eyebrow[rightAntennaIndex][0], positions.right_eyebrow[2][1]-(60*scale));
endShape();
/****************************************************/
/*** static electricity is used to represent hair ***/
/*** the length of hair determines how much ***/
/****************************************************/
if(hair){
var from = color(this.hue,100,reverseTone);
var to = color(48,97,100);
for( var i=1; i <= hair ; i++){
stroke(lerpColor(from, to, (.2 * i)));
strokeWeight(thickness/(i+1) );
beginShape();
vertex(positions.left_eyebrow[leftAntennaIndex][0] +((i*10) *scale), positions.left_eyebrow[2][1]-((60 + i*20) *scale));
vertex(positions.left_eyebrow[leftAntennaIndex][0] + 32 * scale, positions.left_eyebrow[2][1]-((60 + i*20)*scale));
var x = positions.left_eyebrow[leftAntennaIndex][0] + (32 * scale);
var limit = positions.right_eyebrow[rightAntennaIndex][0] - (64 * scale);
var averageY = ((positions.left_eyebrow[2][1]-((60 + i*20)*scale)) + (positions.right_eyebrow[2][1]-((60 + i*20)*scale))) / 2;
var yIncrement = true;
while( x < limit){
x = x + 32 * scale;
if(yIncrement){
var yValue = averageY+(16 * scale);
yIncrement = false;
}
else {
var yValue = averageY-(16 * scale);
yIncrement = true;
}
vertex(x,yValue);
}
vertex(positions.right_eyebrow[rightAntennaIndex][0] - 32 * scale, positions.right_eyebrow[2][1]-((60 + i*20)*scale));
vertex(positions.right_eyebrow[rightAntennaIndex][0] - ((i*10) *scale), positions.right_eyebrow[2][1]-((60 + i*20)*scale));
endShape();
}
}
/**************************************************/
/*** draw the antennas using the eyebrow data ***/
/**************************************************/
stroke(this.hue, 90, tone);
strokeWeight(thickness);
fill(this.hue, tone, 90);
line(positions.left_eyebrow[2][0], positions.left_eyebrow[2][1], positions.left_eyebrow[leftAntennaIndex][0], positions.left_eyebrow[2][1]-(60*scale));
ellipse( positions.left_eyebrow[leftAntennaIndex][0], positions.left_eyebrow[2][1]-(60*scale), 16 * scale, 16 * scale);
line(positions.right_eyebrow[2][0], positions.right_eyebrow[2][1], positions.right_eyebrow[rightAntennaIndex][0], positions.right_eyebrow[2][1]-(60*scale));
ellipse(positions.right_eyebrow[rightAntennaIndex][0], positions.right_eyebrow[2][1]-(60*scale), 16 * scale, 16 * scale);
/***************************************************/
/*** extra antennas for faces that have earrings ***/
/***************************************************/
var hasEarings = map(this.hasEarings, 0, 100, 0, 1);
if(hasEarings >= 1){
//left earings/antenna
stroke(this.hue, 90, 50);
fill(this.hue, 50, 90);
strokeWeight(0);
rect(positions.chin[2][0]-(40*scale), positions.chin[2][1], 1, 0.05, 20, 20);
noFill();
strokeWeight(0.04);
ellipse(positions.chin[2][0]-(55*scale), positions.chin[2][1], 0.12, 0.5);
ellipse(positions.chin[2][0]-(75*scale), positions.chin[2][1], 0.08, 0.3);
//right earings/antenna
stroke(this.hue, 90, 50);
fill(this.hue, 50, 90);
strokeWeight(0);
rect(positions.chin[14][0]+(40*scale), positions.chin[14][1], 1, 0.1,20, 20);
noFill();
strokeWeight(0.04);
ellipse(positions.chin[14][0]+(55*scale), positions.chin[14][1], 0.12, 0.5);
ellipse(positions.chin[14][0]+(75*scale), positions.chin[14][1], 0.08, 0.3);
}
// prepare some values that will be used to draw the head
var chinValuesX = convertVerticeArrayToAxisArray(positions.chin, 0);
var chinValuesY = convertVerticeArrayToAxisArray(positions.chin, 1);
var smallestX = Array.lowest(chinValuesX);
var biggestX = Array.highest(chinValuesX);
var smallestY = Array.lowest(chinValuesY);
var biggestY = Array.highest(chinValuesY);
/**********************************************************/
/*** THE HEAD - drawn a bit larger than the actual head ***/
/**********************************************************/
strokeWeight(0.02);
stroke(this.hue, tone, 90);
fill(this.hue, 90, tone);
beginShape();
vertex(positions.left_eyebrow[4][0]-(20*scale), positions.left_eyebrow[4][1]-(20*scale));
vertex(positions.left_eyebrow[0][0]-(20*scale), positions.left_eyebrow[0][1]-(20*scale));
for(var i=0; i<positions.chin.length;i++) {
if(i < 8){
//left side of the head
vertex(positions.chin[i][0]-(20*scale), positions.chin[i][1]);
}
else if(i > 8){
//right side of the head
vertex(positions.chin[i][0]+(20*scale), positions.chin[i][1]);
}
else {
//middle of the chin
vertex(positions.chin[i][0], positions.chin[i][1]+(10*scale));
}
}
vertex(positions.right_eyebrow[4][0]+(20*scale), positions.right_eyebrow[4][1]-(20*scale));
vertex(positions.right_eyebrow[0][0]+(20*scale), positions.right_eyebrow[0][1]-(20*scale));
endShape(CLOSE);
/* the sorted lips array and following variables will be used to help draw the following facial features:
* 1. beard/robot grill
* 2. lips/outer mouth
* 3. smile/audiowave
*/
//merge the lips arrays and then sort them on the x-axis
var lips = positions.top_lip.concat(positions.bottom_lip);
var sorted_lips = lips.map(
function(array) {
return [+array[0], array[1]];
}
).sort(
function(a, b) {
return a[0]-b[0];
}
);
//calculate the smallest and biggest y values in sorted_lips array
var yValues = convertVerticeArrayToAxisArray(sorted_lips, 1);
var smallestY = Array.lowest(yValues);
var biggestY = Array.highest(yValues);
//calculate the distance and midpoint between the above y values
var yMidPoint = (biggestY + smallestY) / 2;
var yDistance = biggestY - smallestY;
/**********************************************************/
/*** if the person has facial hair, draw a robot grill ***/
/**********************************************************/
if(this.facialHair){
noFill();
stroke(this.hue, 30, 90);
strokeWeight(0.02);
var facialHairLength = map(this.facialHair, 0, 100, 40, 90);
//grill mid point
var midPoint = ((sorted_lips[4][0]+(20*scale)) + (sorted_lips[10][0]+(20*scale))) / 2;
line(midPoint, biggestY+(facialHairLength*scale), midPoint, smallestY+(20*scale));
//left side of grill
var x = midPoint - 0.02;
var limit = sorted_lips[0][0]-(20*scale);
var y = biggestY+(facialHairLength*scale);
var yDiff = biggestY+(facialHairLength*scale) - biggestY;
var numOfPoints = (x - limit) / 0.04;
yDiff = yDiff / numOfPoints;
while(x > limit){
line(x, y, x, smallestY+(20*scale));
x = x - 0.04;
y = y - yDiff;
}
//right side of grill
var x = midPoint + 0.02;
var yAdjuster = (1*scale);
var limit = sorted_lips[23][0]+(20*scale);
var y = biggestY+(facialHairLength*scale);
var yDiff = biggestY+(facialHairLength*scale) - biggestY;
var numOfPoints = (limit - x) / 0.04;
yDiff = yDiff / numOfPoints;
while(x < limit){
line(x, y, x, smallestY+(20*scale));
x = x + 0.04;
y = y - yDiff;
}
}
/*********************************/
/*** outer shape of the mouth ***/
/*********************************/
fill(this.hue, 90, reverseTone);
stroke(this.hue+vibrancy, tone+vibrancy, 90);
strokeWeight(0.05 + (vibrancy*2/1000));
translate(0, 5 * scale);
beginShape();
vertex(sorted_lips[0][0]-(20*scale), sorted_lips[0][1]-(20*scale));
vertex(sorted_lips[4][0]+(20*scale), smallestY-(20*scale));
vertex(sorted_lips[10][0]+(20*scale), smallestY-(20*scale));
vertex(sorted_lips[23][0]+(20*scale), sorted_lips[23][1]-(20*scale));
vertex(sorted_lips[23][0]+(20*scale), sorted_lips[23][1]+(20*scale));
vertex(sorted_lips[10][0]+(20*scale), biggestY+(20*scale));
vertex(sorted_lips[4][0]+(20*scale), biggestY+(20*scale));
vertex(sorted_lips[0][0]-(20*scale), sorted_lips[0][1]+(20*scale));
endShape(CLOSE);
translate(0, -5 * scale);
//set up some variables that determine how big the smile will be
var openLevel = map(this.mouthOpenLevel, 0, 100, 0.9, 0);
smallestY = smallestY + (yDistance/2 * openLevel);
biggestY = biggestY - (yDistance/2 * openLevel);
/***********************************/
/*** audio wave / smile ***/
/***********************************/
strokeWeight(0.01);
stroke(0,0, 100, 1);
noFill();
beginShape();
for(var i=0; i<sorted_lips.length;i++) {
var yValue = sorted_lips[i][1];
if(yValue < yMidPoint){
yValue = (yValue + (yDistance/2 * openLevel));
yValue = (yValue > yMidPoint) ? yMidPoint : yValue;
}
else {
yValue = yValue - (yDistance/2 * openLevel);
yValue = (yValue < yMidPoint) ? yMidPoint : yValue;
}
if(i == (sorted_lips.length - 1)){
curveVertex(sorted_lips[i][0],yValue);
}
else {
curveVertex(sorted_lips[i][0],yValue);
var x = sorted_lips[i][0] + 0.02;
var limit = sorted_lips[i+1][0] - 0.02;
while(x < limit){
var randomY = random(smallestY, biggestY);
curveVertex(x,randomY);
x = x + 0.02;
}
}
}
endShape();
strokeWeight(0);
//set up some variables that will be used to draw the eyes
var xValuesLeft = convertVerticeArrayToAxisArray(positions.left_eye, 0);
var yValuesLeft = convertVerticeArrayToAxisArray(positions.left_eye, 1);
var xValuesRight = convertVerticeArrayToAxisArray(positions.right_eye, 0);
var yValuesRight = convertVerticeArrayToAxisArray(positions.right_eye, 1);
var smallestXLeft = Array.lowest(xValuesLeft);
var smallestYLeft = Array.lowest(yValuesLeft);
var biggestYLeft = Array.highest(yValuesLeft);
var biggestXRight = Array.highest(xValuesRight);
var smallestYRight = Array.lowest(yValuesRight);
var biggestYRight = Array.highest(yValuesRight);
//first conver the vertices arrays into single axis arrays
var xValuesLeft = convertVerticeArrayToAxisArray(positions.left_eye, 0);
var yValuesLeft = convertVerticeArrayToAxisArray(positions.left_eye, 1);
var xValuesRight = convertVerticeArrayToAxisArray(positions.right_eye, 0);
var yValuesRight = convertVerticeArrayToAxisArray(positions.right_eye, 1);
//then get the values we need to draw the visor
var smallestXLeft = Array.lowest(xValuesLeft);
var smallestYLeft = Array.lowest(yValuesLeft);
var biggestYLeft = Array.highest(yValuesLeft);
var biggestXRight = Array.highest(xValuesRight);
var smallestYRight = Array.lowest(yValuesRight);
var biggestYRight = Array.highest(yValuesRight);
translate(0, 20 * scale);
fill(this.hue, tone, 90);
/****************************/
/*** outer visor ***/
/****************************/
//outer visor
beginShape();
curveVertex(smallestXLeft-(20*scale), smallestYLeft-(20*scale));
curveVertex(biggestXRight+(20*scale), smallestYRight-(20*scale));
curveVertex(biggestXRight+(20*scale), biggestYRight+(20*scale));
curveVertex(smallestXLeft-(20*scale), biggestYLeft+(20*scale));
endShape(CLOSE);
//how bright are the eyes?
var brightness = map(this.eyeBrightness, 0, 100, 50, 0);
fill(0, 0, brightness);
/****************************/
/*** inner visor ***/
/****************************/
beginShape();
curveVertex(smallestXLeft-(10*scale), smallestYLeft-(10*scale));
curveVertex(biggestXRight+(10*scale), smallestYRight-(10*scale));
curveVertex(biggestXRight+(10*scale), biggestYRight+(10*scale));
curveVertex(smallestXLeft-(10*scale), biggestYLeft+(10*scale));
endShape(CLOSE);
/*********************/
/*** EYES ***/
/*********************/
fill(0, 0, 100 - brightness);
//left eye
beginShape();
for(var i=0; i<positions.left_eye.length;i++) {
curveVertex(positions.left_eye[i][0], positions.left_eye[i][1]);
}
endShape(CLOSE);
//right eye
beginShape();
for(var i=0; i<positions.right_eye.length;i++) {
curveVertex(positions.right_eye[i][0], positions.right_eye[i][1]);
}
endShape(CLOSE);
//irises
fill(this.hue, 90, tone);
rect(eye1_pos[0], eye1_pos[1], 6 * scale, 6 * scale);
rect(eye2_pos[0], eye2_pos[1], 6 * scale, 6 * scale);
translate(0, -20 * scale);
//face is now finished drawing
strokeWeight(0.01);
}
/*
* randomize function - used to choose a different hue everytime the page is loaded or the mouse is clicked
*/
this.randomize = function() {
var randomPointer = floor(random(1, 10));
this.hue = focusedRandom(this.robotHueRanges[randomPointer][0], this.robotHueRanges[randomPointer][1], 10, this.robotHueRanges[randomPointer][2]);
}
/*
* JSON object consisting of six hue ranges
* used to ensure each robot has a unique hue
* the third element of each array is the midpoint of the range
* which is used to set the mean value for the focusedRandom function
*/
this.robotHueRanges = {
1 : [-20, 20, 0],
2 : [21, 60, 40],
3 : [61, 100, 80],
4 : [101, 140, 120],
5 : [141, 180, 160],
6 : [181, 220, 200],
7 : [221, 260, 240],
8 : [261, 300, 280],
9 : [301, 340, 320]
}
/* set internal properties based on list numbers 0-100 */
this.setProperties = function(settings) {
this.eyebrowThickness = settings[0];
this.mouthOpenLevel = settings[1];
this.eyeBrightness = settings[2];
this.hairLength = settings[3];
this.skinTone = settings[4];
this.hasEarings = settings[5];
this.lipVibrancy = settings[6];
this.facialHair = settings[7];
}
/* get internal properties as list of numbers 0-100 */
this.getProperties = function() {
properties = new Array();
properties[0] = this.eyebrowThickness;
properties[1] = this.mouthOpenLevel;
properties[2] = this.eyeBrightness;
properties[3] = this.hairLength;
properties[4] = this.skinTone;
properties[5] = this.hasEarings;
properties[6] = this.lipVibrancy;
properties[7] = this.facialHair;
return properties;
}
}
/**
* converts an array of vertices into an array of values for a single axis (eg, x or y)
* @param {Array} oldArray - the multidimensional array of vertices to convert
* @param {Number} index - the index of the inner array containing the calues for the axis you want
* @return {Array} newArray
*/
function convertVerticeArrayToAxisArray(oldArray, index){
var newArray = [];
for(var i=0; i<oldArray.length;i++) {
newArray[i] = oldArray[i][index];
}
return newArray;
}
/**
* finds the lowest value in an array of numbers
* @param {Array} array - an array of numbers
*/
Array.lowest = function( array ){
return Math.min.apply( Math, array );
};
/**
* finds the height value in an array of numbers
* @param {Array} array - an array of numbers
*/
Array.highest = function( array ){
return Math.max.apply( Math, array );
};
// given a point, return the average
function average_point(list) {
var sum_x = 0;
var sum_y = 0;
var num_points = 0;
for(var i=0; i<list.length; i++) {
sum_x += list[i][0];
sum_y += list[i][1];
num_points += 1;
}
return [sum_x / num_points, sum_y / num_points];
}
Raw
index.html
<head>
<script src="http://cdnjs.cloudflare.com/ajax/libs/p5.js/0.5.11/p5.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/p5.js/0.5.11/addons/p5.dom.js"></script>
<script src="z_clmtrackr.js"></script>
<script src="z_model_pca_20_svm.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/2.4.0/seedrandom.min.js"></script>
<script src="https://d3js.org/d3-random.v1.min.js"></script>
<script language="javascript" type="text/javascript" src=".purview_helper.js"></script>
<script language="javascript" type="text/javascript" src=".focused_random.js"></script>
<script language="javascript" type="text/javascript" src="kdTree.js"></script>
<script language="javascript" type="text/javascript" src="face.js"></script>
<script language="javascript" type="text/javascript" src="facemap.js"></script>
<script language="javascript" type="text/javascript" src="sketch.js"></script>
<style>
body { padding: 0; margin: 0; }
.inner { position: absolute; }
#controls {
font: 300 12px "Helvetica Neue";
padding: 5;
margin: 5;
background: #f0f0f0;
opacity: 0.0;
-webkit-transition: opacity 0.2s ease;
-moz-transition: opacity 0.2s ease;
-o-transition: opacity 0.2s ease;
-ms-transition: opacity 0.2s ease;
}
#controls:hover { opacity: 0.9; }
</style>
</head>
<body style="background-color:white">
<div class="outer">
<div class="inner" id="controls" height="500">
<table>
<tr>
<td>Eyebrow Thickness</td>
<td id="slider1Container"></td>
</tr>
<tr>
<td>Smile Size</td>
<td id="slider2Container"></td>
</tr>
<tr>
<td>Eye Brightness</td>
<td id="slider3Container"></td>
</tr>
<tr>
<td>Hair Length</td>
<td id="slider4Container"></td>
</tr>
<tr>
<td>Skin Tone</td>
<td id="slider5Container"></td>
</tr>
<tr>
<td>Has Earrings</td>
<td id="slider6Container"></td>
</tr>
<tr>
<td>Lip Vibrancy</td>
<td id="slider7Container"></td>
</tr>
<tr>
<td>Facial Hair Length</td>
<td id="slider8Container"></td>
</tr>
<tr>
<td>setting 9</td>
<td id="slider9Container"></td>
</tr>
<tr>
<td>setting 10</td>
<td id="slider10Container"></td>
</tr>
<tr>
<td>setting 11</td>
<td id="slider11Container"></td>
</tr>
<tr>
<td>setting 12</td>
<td id="slider12Container"></td>
</tr>
<tr>
</tr>
<tr>
<td>show target</td>
<td id="sliderTintContainer"></td>
</tr>
<tr>
<td>Draw function</td>
<td id="selector1Container"></td>
</tr>
<tr>
<td></td>
<td id="button1Container"></td>
</tr>
<tr>
<td></td>
<td id="button2Container"></td>
</tr>
<tr>
<td></td>
<td id="button3Container"></td>
</tr>
<tr>
<td></td>
<td id="button4Container"></td>
</tr>
</table>
</div>
<div>
<div id="canvasContainer"></div>
</div>
</div>
<pre>
<p id="output">
</p>
</pre>
</body>
Raw
kdTree.js
/**
* k-d Tree JavaScript - V 1.01
*
* https://github.com/ubilabs/kd-tree-javascript
*
* @author Mircea Pricop <[email protected]>, 2012
* @author Martin Kleppe <[email protected]>, 2012
* @author Ubilabs http://ubilabs.net, 2012
* @license MIT License <http://www.opensource.org/licenses/mit-license.php>
*/
(function (root, factory) {
if (typeof define === 'function' && define.amd) {
define(['exports'], factory);
} else if (typeof exports === 'object') {
factory(exports);
} else {
factory((root.commonJsStrict = {}));
}
}(this, function (exports) {
function Node(obj, dimension, parent) {
this.obj = obj;
this.left = null;
this.right = null;
this.parent = parent;
this.dimension = dimension;
}
function kdTree(points, metric, dimensions) {
var self = this;
function buildTree(points, depth, parent) {
var dim = depth % dimensions.length,
median,
node;
if (points.length === 0) {
return null;
}
if (points.length === 1) {
return new Node(points[0], dim, parent);
}
points.sort(function (a, b) {
return a[dimensions[dim]] - b[dimensions[dim]];
});
median = Math.floor(points.length / 2);
node = new Node(points[median], dim, parent);
node.left = buildTree(points.slice(0, median), depth + 1, node);
node.right = buildTree(points.slice(median + 1), depth + 1, node);
return node;
}
// Reloads a serialied tree
function loadTree (data) {
// Just need to restore the `parent` parameter
self.root = data;
function restoreParent (root) {
if (root.left) {
root.left.parent = root;
restoreParent(root.left);
}
if (root.right) {
root.right.parent = root;
restoreParent(root.right);
}
}
restoreParent(self.root);
}
// If points is not an array, assume we're loading a pre-built tree
if (!Array.isArray(points)) loadTree(points, metric, dimensions);
else this.root = buildTree(points, 0, null);
// Convert to a JSON serializable structure; this just requires removing
// the `parent` property
this.toJSON = function (src) {
if (!src) src = this.root;
var dest = new Node(src.obj, src.dimension, null);
if (src.left) dest.left = self.toJSON(src.left);
if (src.right) dest.right = self.toJSON(src.right);
return dest;
};
this.insert = function (point) {
function innerSearch(node, parent) {
if (node === null) {
return parent;
}
var dimension = dimensions[node.dimension];
if (point[dimension] < node.obj[dimension]) {
return innerSearch(node.left, node);
} else {
return innerSearch(node.right, node);
}
}
var insertPosition = innerSearch(this.root, null),
newNode,
dimension;
if (insertPosition === null) {
this.root = new Node(point, 0, null);
return;
}
newNode = new Node(point, (insertPosition.dimension + 1) % dimensions.length, insertPosition);
dimension = dimensions[insertPosition.dimension];
if (point[dimension] < insertPosition.obj[dimension]) {
insertPosition.left = newNode;
} else {
insertPosition.right = newNode;
}
};
this.remove = function (point) {
var node;
function nodeSearch(node) {
if (node === null) {
return null;
}
if (node.obj === point) {
return node;
}
var dimension = dimensions[node.dimension];
if (point[dimension] < node.obj[dimension]) {
return nodeSearch(node.left, node);
} else {
return nodeSearch(node.right, node);
}
}
function removeNode(node) {
var nextNode,
nextObj,
pDimension;
function findMin(node, dim) {
var dimension,
own,
left,
right,
min;
if (node === null) {
return null;
}
dimension = dimensions[dim];
if (node.dimension === dim) {
if (node.left !== null) {
return findMin(node.left, dim);
}
return node;
}
own = node.obj[dimension];
left = findMin(node.left, dim);
right = findMin(node.right, dim);
min = node;
if (left !== null && left.obj[dimension] < own) {
min = left;
}
if (right !== null && right.obj[dimension] < min.obj[dimension]) {
min = right;
}
return min;
}
if (node.left === null && node.right === null) {
if (node.parent === null) {
self.root = null;
return;
}
pDimension = dimensions[node.parent.dimension];
if (node.obj[pDimension] < node.parent.obj[pDimension]) {
node.parent.left = null;
} else {
node.parent.right = null;
}
return;
}
// If the right subtree is not empty, swap with the minimum element on the
// node's dimension. If it is empty, we swap the left and right subtrees and
// do the same.
if (node.right !== null) {
nextNode = findMin(node.right, node.dimension);
nextObj = nextNode.obj;
removeNode(nextNode);
node.obj = nextObj;
} else {
nextNode = findMin(node.left, node.dimension);
nextObj = nextNode.obj;
removeNode(nextNode);
node.right = node.left;
node.left = null;
node.obj = nextObj;
}
}
node = nodeSearch(self.root);
if (node === null) { return; }
removeNode(node);
};
this.nearest = function (point, maxNodes, maxDistance) {
var i,
result,
bestNodes;
bestNodes = new BinaryHeap(
function (e) { return -e[1]; }
);
function nearestSearch(node) {
var bestChild,
dimension = dimensions[node.dimension],
ownDistance = metric(point, node.obj),
linearPoint = {},
linearDistance,
otherChild,
i;
function saveNode(node, distance) {
bestNodes.push([node, distance]);
if (bestNodes.size() > maxNodes) {
bestNodes.pop();
}
}
for (i = 0; i < dimensions.length; i += 1) {
if (i === node.dimension) {
linearPoint[dimensions[i]] = point[dimensions[i]];
} else {
linearPoint[dimensions[i]] = node.obj[dimensions[i]];
}
}
linearDistance = metric(linearPoint, node.obj);
if (node.right === null && node.left === null) {
if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) {
saveNode(node, ownDistance);
}
return;
}
if (node.right === null) {
bestChild = node.left;
} else if (node.left === null) {
bestChild = node.right;
} else {
if (point[dimension] < node.obj[dimension]) {
bestChild = node.left;
} else {
bestChild = node.right;
}
}
nearestSearch(bestChild);
if (bestNodes.size() < maxNodes || ownDistance < bestNodes.peek()[1]) {
saveNode(node, ownDistance);
}
if (bestNodes.size() < maxNodes || Math.abs(linearDistance) < bestNodes.peek()[1]) {
if (bestChild === node.left) {
otherChild = node.right;
} else {
otherChild = node.left;
}
if (otherChild !== null) {
nearestSearch(otherChild);
}
}
}
if (maxDistance) {
for (i = 0; i < maxNodes; i += 1) {
bestNodes.push([null, maxDistance]);
}
}
if(self.root)
nearestSearch(self.root);
result = [];
for (i = 0; i < Math.min(maxNodes, bestNodes.content.length); i += 1) {
if (bestNodes.content[i][0]) {
result.push([bestNodes.content[i][0].obj, bestNodes.content[i][1]]);
}
}
return result;
};
this.balanceFactor = function () {
function height(node) {
if (node === null) {
return 0;
}
return Math.max(height(node.left), height(node.right)) + 1;
}
function count(node) {
if (node === null) {
return 0;
}
return count(node.left) + count(node.right) + 1;
}
return height(self.root) / (Math.log(count(self.root)) / Math.log(2));
};
}
// Binary heap implementation from:
// http://eloquentjavascript.net/appendix2.html
function BinaryHeap(scoreFunction){
this.content = [];
this.scoreFunction = scoreFunction;
}
BinaryHeap.prototype = {
push: function(element) {
// Add the new element to the end of the array.
this.content.push(element);
// Allow it to bubble up.
this.bubbleUp(this.content.length - 1);
},
pop: function() {
// Store the first element so we can return it later.
var result = this.content[0];
// Get the element at the end of the array.
var end = this.content.pop();
// If there are any elements left, put the end element at the
// start, and let it sink down.
if (this.content.length > 0) {
this.content[0] = end;
this.sinkDown(0);
}
return result;
},
peek: function() {
return this.content[0];
},
remove: function(node) {
var len = this.content.length;
// To remove a value, we must search through the array to find
// it.
for (var i = 0; i < len; i++) {
if (this.content[i] == node) {
// When it is found, the process seen in 'pop' is repeated
// to fill up the hole.
var end = this.content.pop();
if (i != len - 1) {
this.content[i] = end;
if (this.scoreFunction(end) < this.scoreFunction(node))
this.bubbleUp(i);
else
this.sinkDown(i);
}
return;
}
}
throw new Error("Node not found.");
},
size: function() {
return this.content.length;
},
bubbleUp: function(n) {
// Fetch the element that has to be moved.
var element = this.content[n];
// When at 0, an element can not go up any further.
while (n > 0) {
// Compute the parent element's index, and fetch it.
var parentN = Math.floor((n + 1) / 2) - 1,
parent = this.content[parentN];
// Swap the elements if the parent is greater.
if (this.scoreFunction(element) < this.scoreFunction(parent)) {
this.content[parentN] = element;
this.content[n] = parent;
// Update 'n' to continue at the new position.
n = parentN;
}
// Found a parent that is less, no need to move it further.
else {
break;
}
}
},
sinkDown: function(n) {
// Look up the target element and its score.
var length = this.content.length,
element = this.content[n],
elemScore = this.scoreFunction(element);
while(true) {
// Compute the indices of the child elements.
var child2N = (n + 1) * 2, child1N = child2N - 1;
// This is used to store the new position of the element,
// if any.
var swap = null;
// If the first child exists (is inside the array)...
if (child1N < length) {
// Look it up and compute its score.
var child1 = this.content[child1N],
child1Score = this.scoreFunction(child1);
// If the score is less than our element's, we need to swap.
if (child1Score < elemScore)
swap = child1N;
}
// Do the same checks for the other child.
if (child2N < length) {
var child2 = this.content[child2N],
child2Score = this.scoreFunction(child2);
if (child2Score < (swap == null ? elemScore : child1Score)){
swap = child2N;
}
}
// If the element needs to be moved, swap it, and continue.
if (swap != null) {
this.content[n] = this.content[swap];
this.content[swap] = element;
n = swap;
}
// Otherwise, we are done.
else {
break;
}
}
}
};
this.kdTree = kdTree;
exports.kdTree = kdTree;
exports.BinaryHeap = BinaryHeap;
}));
Raw
purview.json
{
"commits": [
{
"sha": "80b30177f52f757e6e6242d0b6424f048b195ca4",
"name": "final_version"
},
{
"sha": "d023278637856dc8a75907668a67d26417e24724",
"name": "version_2"
},
{
"sha": "19b201e68306595ef31d5ef1ec4bd60aefe3b3a0",
"name": "training_examples"
},
{
"sha": "dfeadbe7d4b9dd85c59971e69eee3559c7587a9b",
"name": "version_1"
},
{
"sha": "0fbd94f40384cfa9429262e214a823adae4d8bf0",
"name": "object_oriented_face"
}
]
}
Raw
sketch.js
var canvasWidth = 960;
var canvasHeight = 500;
var button;
var curRandomSeed;
var mainFace;
var faceImages = [];
var curFaceIndex = 0;
var curTrainIndex = 0;
var curValidIndex = 0;
var main_canvas;
var faceSelector;
var facelist = [];
var NUMFACES = 6*9;
var sliders = [];
var NUM_SLIDERS = 12;
var sliderTint;
var faceData = [
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]
var trainData = {}
var trainDataKeys = []
var trainValues = {}
var validData = {}
var validDataKeys = []
var faceMapping = null;
function preload () {
extraFaceData = loadJSON('face_data.json');
trainData = loadJSON('train_data.json');
validData = loadJSON('valid_data.json');
trainValues = loadJSON('train_values.json');
}
var allEmbeddingsTree;
var allEmbeddings = [];
var embeddingDimensions;
var curNeighbors = [];
function squaredDistance(a, b) {
var sum = 0;
var length = 128;
for(var i=0; i<128; i++) {
var diff = a[i] - b[i];
sum += diff * diff;
}
// print(a.length,diff);
// print(sum, a==b);
return sum;
}
var haveStarted = false;
function setup () {
var extraFaceDataArray = Object.values(extraFaceData);
Array.prototype.unshift.apply(faceData, extraFaceDataArray);
// create the drawing canvas, save the canvas element
main_canvas = createCanvas(canvasWidth, canvasHeight);
main_canvas.parent('canvasContainer');
curRandomSeed = int(focusedRandom(0, 100));
for(var i=0; i<NUMFACES; i++) {
var face = new Face();
facelist.push(face);
}
mainFace = new FaceMap();
littleFace = new FaceMap();
for(var i=0; i<faceData.length; i++) {
var data = faceData[i];
data.image = loadImage(data.url);
}
trainDataKeys = Object.keys(trainData);
for(var i=0; i<trainDataKeys.length; i++) {
var curKey = trainDataKeys[i];
var data = trainData[curKey];
var curEmbedding = data.embedding[0];
if(curEmbedding.length == 128) {
curEmbedding.push(curKey);
allEmbeddings.push(curEmbedding);
}
else {
print("rejected embedding ", curEmbedding);
}
data.image = loadImage(data.url);
}
validDataKeys = Object.keys(validData);
for(var i=0; i<validDataKeys.length; i++) {
var curKey = validDataKeys[i];
var data = validData[curKey];
data.image = loadImage(data.url);
}
// print("Length: ", allEmbeddings.length);
// setup k-d tree
var N = allEmbeddings[0].length - 1;
embeddingDimensions = Array.apply(null, {length: N}).map(Number.call, Number);
// print(embeddingDimensions)
allEmbeddingsTree = new kdTree(allEmbeddings, squaredDistance, embeddingDimensions);
// print(allEmbeddingsTree)
faceSelector = createSelect();
faceSelector.option('Face');
faceSelector.option('FaceMap');
faceSelector.option('Train');
faceSelector.option('Neighbors');
faceSelector.option('TrainQuiz');
faceSelector.option('ValidQuiz');
faceSelector.value('FaceMap');
faceSelector.parent('selector1Container');
/* create the sliders */
for(i=1; i<=NUM_SLIDERS; i++) {
var slider = createSlider(0, 100, 50);
var parentStr = 'slider' + i + 'Container';
slider.parent(parentStr);
sliders.push(slider);
}
sliderTint = createSlider(0, 100, 35);
sliderTint.parent("sliderTintContainer");
/* and the buttons */
var loadButton = createButton('load');
loadButton.mousePressed(loadCurrentSettings);
loadButton.parent('button1Container');
var interpButton = createButton('interpolate');
interpButton.mousePressed(interpolateCurrent);
interpButton.parent('button1Container');
var saveButton = createButton('save');
saveButton.mousePressed(saveCurrentSettings);
saveButton.parent('button2Container');
var getValuesButton = createButton('get values');
getValuesButton.mousePressed(getSingleJson);
getValuesButton.parent('button3Container');
var randButton = createButton('get all values');
randButton.mousePressed(getAllJson);
randButton.parent('button4Container');
updateSlidersForTraining();
// rotation in degrees
angleMode(DEGREES);
haveStarted = true;
}
function saveCurrentSettings() {
var curKey = trainDataKeys[curTrainIndex];
obj = mainFace.getProperties();
trainValues[curKey] = obj;
// for(var i=0; i<obj.length; i++) {
// trainData[curKey][i] = obj[i];
// }
var text = select('#output');
text.html("Storing values for " + curKey);
// getAllJson();
}
function getSingleJson() {
obj = mainFace.getProperties();
var text = select('#output');
var json = JSON.stringify(obj, null, 2);
text.html(json)
}
function getAllJson() {
obj = trainValues;
var text = select('#output');
var json = JSON.stringify(obj, null, 2);
// alert(json);
text.html(json)
}
// global variables for colors
var bg_color1 = [255, 255, 255];
var lastSwapTime = 0;
var millisPerSwap = 5000;
function changeRandomSeed() {
curRandomSeed = curRandomSeed + 1;
lastSwapTime = millis();
}
function mouseClicked() {
changeRandomSeed();
}
var quiz_done = false;
var guessed_answer = 0;
function draw () {
var mode = faceSelector.value();
if(millis() > lastSwapTime + millisPerSwap) {
lastSwapTime = millis();
//changeRandomSeed();
}
resetFocusedRandom(curRandomSeed);
noStroke();
background(bg_color1);
var textDisplay = "unknown";
var params = [];
for(var i=0; i<NUM_SLIDERS; i++) {
params.push(sliders[i].value());
}
if (mode == 'Face') {
var w = canvasWidth / 10;
var h = canvasHeight / 6;
var max_shift = 0.2 * w;
var cur_face = 0;
for(var i=0; i<6; i++) {
for(var j=0; j<9; j++) {
var face = facelist[cur_face];
cur_face = cur_face + 1;
var y = h/2 + h*i;
var x = w/2 + w*j;
// shift even rows over by half a face
if(i%2 == 0) {
x = x + w/2;
}
// noFill();
// stroke(255, 0, 0);
// rect(x-w/2, y-w/2, w, h);
face.randomize();
face.draw1(x, y, w, h);
// noStroke();
// fill(255, 0, 0);
// ellipse(x-2, y-2, 4, 4);
}
}
textDisplay = "facegrid";
}
else if (mode == 'FaceMap' || mode == 'Train') {
var do_train = true;
if (mode == 'FaceMap') {
do_train = false;
}
if(do_train) {
// var keys = Object.keys(trainData);
var curKey = trainDataKeys[curTrainIndex];
var data = trainData[curKey];
}
else {
var data = faceData[curFaceIndex];
}
// Displays the image at its actual size at point (0,0)
var img = data.image
var x1 = (width/4-400/2);
var x2 = (3*width/4-400/2);
var y1 = (height/2-400/2);
image(img, x1, y1, 400, 400);
if(do_train) {
if (curKey in trainValues) {
fill(0, 200, 0);
}
else {
fill(200, 0, 0);
}
ellipse(x1+400/2, y1+400+15, 10, 10);
}
image(img, x2, y1, 400, 400);
noStroke();
var curSliderTintValue = sliderTint.value();
var overlayAlpha = map(curSliderTintValue, 0, 100, 255, 0);
fill(bg_color1[0], bg_color1[1], bg_color1[2], overlayAlpha);
rect(x2, y1, 400, 400);
stroke(0);
fill(255);
for(var i=0; i<data.landmarks.length; i++) {
// get array of face marker positions [x, y] format
var positions = data.landmarks[i];
var shifted_positions = JSON.parse(JSON.stringify(positions))
var data_mean = [0.0, 0.0];
var data_scale = 1.0;
var data_angle = 0.0;
if ('transform' in positions) {
data_mean = positions.transform.center;
data_scale = positions.transform.scale;
data_angle = positions.transform.angle;
delete shifted_positions.transform
}
var scale_x = 400.0 / img.width;
var scale_y = 400.0 / img.height;
push();
translate(x1, y1)
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
stroke(0);
fill(255);
strokeWeight(1/data_scale);
Object.keys(positions).forEach(function(key) {
if (key=='transform') {
return;
}
var curSection = positions[key];
var shiftedSection = shifted_positions[key];
for (var i=0; i<curSection.length; i++) {
var cur_x = curSection[i][0];
var cur_y = curSection[i][1];
ellipse(cur_x, cur_y, 3/data_scale, 3/data_scale);
// get ready for drawing the face
shiftedSection[i][0] = cur_x;
shiftedSection[i][1] = cur_y;
}
});
noFill();
stroke(0, 0, 255);
ellipse(0, 0, 4, 4);
line(0, -2, 0, 2);
line(-2, 0, 2, 0);
// ellipse(x1+data_mean[0], y1+data_mean[1], 4*data_scale, 4*data_scale);
// line(x1+data_mean[0], y1+data_mean[1]-2*data_scale, x1+data_mean[0], y1+data_mean[1]+2*data_scale);
pop();
var settings = params;
if ((typeof data.embedding !== 'undefined') &&
(data.embedding != null) &&
(data.embedding.length > i) &&
(data.embedding[i] != null) &&
(typeof data.embedding[i].length !== 'undefined') &&
(data.embedding[i].length == 128)) {
var curEmbedding = data.embedding[i];
results = getAverageSettingsFrom(curEmbedding);
settings = results[0];
}
push();
translate(x2, y1)
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
strokeWeight(1/data_scale);
mainFace.setProperties(settings);
mainFace.draw(shifted_positions);
pop();
}
if(do_train) {
textDisplay = "Train: " + curKey;
}
else {
textDisplay = "FaceMap: " + curFaceIndex;
}
}
else if (mode == 'Neighbors') {
// var keys = Object.keys(trainData);
var curKey = trainDataKeys[curTrainIndex];
var data = trainData[curKey];
// Displays the image at its actual size at point (0,0)
var img = data.image
var x1 = (width/4-250/2);
var y1 = (height/3-250/2);
image(img, x1, y1, 250, 250);
if (curKey in trainValues) {
fill(0, 200, 0);
}
else {
fill(200, 0, 0);
}
ellipse(x1+250/2, y1+250+15, 10, 10);
var y2 = (3*height/4-80/2);
for(var i=0; i<4; i++) {
// var keys = Object.keys(trainData);
var curKey = curNeighbors[i];
var nearData = trainData[curKey];
// Displays the image at its actual size at point (0,0)
var img = nearData.image
var x2 = (width/4 - 200 + i*100);
image(img, x2, y2, 80, 80);
}
for(var i=0; i<1; i++) {
// get array of face marker positions [x, y] format
var positions = data.landmarks[i];
var shifted_positions = JSON.parse(JSON.stringify(positions))
var data_mean = [0.0, 0.0];
var data_scale = 1.0;
var data_angle = 0.0;
if ('transform' in positions) {
data_mean = positions.transform.center;
data_scale = positions.transform.scale;
data_angle = positions.transform.angle;
delete shifted_positions.transform
}
var scale_x = 400.0 / img.width;
var scale_y = 400.0 / img.height;
Object.keys(positions).forEach(function(key) {
if (key=='transform') {
return;
}
var curSection = positions[key];
var shiftedSection = shifted_positions[key];
for (var i=0; i<curSection.length; i++) {
var cur_x = curSection[i][0];
var cur_y = curSection[i][1];
// get ready for drawing the face
shiftedSection[i][0] = cur_x;
shiftedSection[i][1] = cur_y;
}
});
var scale_x = 250.0 / img.width;
var scale_y = 250.0 / img.height;
var x2 = (3*width/4-250/2);
push();
translate(x2, y1);
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
strokeWeight(1/data_scale);
mainFace.setProperties(params);
mainFace.draw(shifted_positions);
pop();
var scale_x = 80.0 / img.width;
var scale_y = 80.0 / img.height;
for(var j=0; j<4; j++) {
// var keys = Object.keys(trainData);
var curKey = curNeighbors[j];
var x2 = (3*width/4 - 200 + j*100);
push();
translate(x2, y2);
if (curKey in trainValues) {
var settings = trainValues[curKey]
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
strokeWeight(1/data_scale);
littleFace.setProperties(settings);
littleFace.draw(shifted_positions);
}
else {
noFill();
stroke(100);
rect(10, 10, 70, 70);
}
pop();
}
}
textDisplay = "Neighbors: " + trainDataKeys[curTrainIndex];
}
else if (mode == 'TrainQuiz' || mode == 'ValidQuiz') {
var curKey = trainDataKeys[curTrainIndex];
var data = trainData[curKey];
var valid_mode = false;
if (mode == 'ValidQuiz') {
valid_mode = true;
curKey = validDataKeys[curValidIndex];
data = validData[curKey];
}
// Displays the image at its actual size at point (0,0)
var img = data.image
var x1 = (width/2-200/2);
var y1 = (height/3-300/2);
image(img, x1, y1, 200, 200);
if(valid_mode) {
fill(0, 0, 200);
}
else if (curKey in trainValues) {
fill(0, 200, 0);
}
else {
fill(200, 0, 0);
}
ellipse(x1+200/2, y1+200+15, 10, 10);
var y2 = (3*height/5-80/2);
var y3 = (4*height/5-80/2);
/*
for(var i=0; i<4; i++) {
// var keys = Object.keys(trainData);
var curKey = curNeighbors[i];
var nearData = trainData[curKey];
// Displays the image at its actual size at point (0,0)
var img = nearData.image
var x2 = (width/4 - 200 + i*100);
image(img, x2, y2, 80, 80);
}
*/
for(var i=0; i<1; i++) {
// get array of face marker positions [x, y] format
var positions = data.landmarks[i];
var shifted_positions = JSON.parse(JSON.stringify(positions))
var data_mean = [0.0, 0.0];
var data_scale = 1.0;
var data_angle = 0.0;
if ('transform' in positions) {
data_mean = positions.transform.center;
data_scale = positions.transform.scale;
data_angle = positions.transform.angle;
delete shifted_positions.transform
}
var scale_x = 400.0 / img.width;
var scale_y = 400.0 / img.height;
Object.keys(positions).forEach(function(key) {
if (key=='transform') {
return;
}
var curSection = positions[key];
var shiftedSection = shifted_positions[key];
for (var i=0; i<curSection.length; i++) {
var cur_x = curSection[i][0];
var cur_y = curSection[i][1];
// get ready for drawing the face
shiftedSection[i][0] = cur_x;
shiftedSection[i][1] = cur_y;
}
});
/*
var scale_x = 250.0 / img.width;
var scale_y = 250.0 / img.height;
var x2 = (3*width/4-250/2);
push();
translate(x2, y1);
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
strokeWeight(1/data_scale);
mainFace.setProperties(params);
mainFace.draw(shifted_positions);
pop();
*/
var scale_x = 80.0 / img.width;
var scale_y = 80.0 / img.height;
var otherKeys = Object.keys(trainValues);
var index = otherKeys.indexOf(trainDataKeys[curTrainIndex]);
if(index >= 0) {
otherKeys.splice(index, 1);
}
var answerSlot = int(focusedRandom(0, 4));
var answerKeys = Array(4);
for(var j=0; j<4; j++) {
if(j == answerSlot) {
curKey = trainDataKeys[curTrainIndex];
}
else {
var guess = int(focusedRandom(0, otherKeys.length));
// if(otherKeys.length > j+2) {
// while(answerKeys.indexOf(guess) == -1) {
// guess = int(focusedRandom(0, otherKeys.length));
// }
// }
curKey = otherKeys[guess];
}
answerKeys[j] = curKey;
// print("Answer", j, " is ", curKey);
var x2 = (width/2 - 200 + j*100);
var settings = params;
if (valid_mode && j == answerSlot) {
var curEmbedding = data.embedding[0];
results = getAverageSettingsFrom(curEmbedding);
settings = results[0];
var validTrainKeys = results[1];
}
else if (curKey in trainValues) {
settings = trainValues[curKey];
}
push();
translate(x2, y2);
translate(scale_x*data_mean[0], scale_y*data_mean[1]);
scale(scale_x*data_scale, scale_y*data_scale);
rotate(degrees(data_angle));
strokeWeight(1/data_scale);
littleFace.setProperties(settings);
littleFace.draw(shifted_positions, false);
pop();
if(quiz_done && guessed_answer == (j+1)) {
push();
translate(x2, y2);
noFill();
strokeWeight(4);
if(guessed_answer == (answerSlot+1)) {
stroke(0, 100, 0);
}
else {
stroke(100, 0, 0);
}
rect(-10, -10, 100, 100);
pop();
}
}
if(quiz_done) {
for(var j=0; j<4; j++) {
if (valid_mode && (answerSlot+1) == (j+1)) {
for(var k=0; k<4; k++) {
var curKey = validTrainKeys[k];
var nearData = trainData[curKey];
// Displays the image at its actual size at point (0,0)
var img = nearData.image
var x2 = (width/2 - 200 + j*100 + (k%2)*40);
var y4 = y3 + (int(k/2))*40;
image(img, x2, y4, 40, 40);
}
}
else {
var curKey = answerKeys[j];
var nearData = trainData[curKey];
// Displays the image at its actual size at point (0,0)
var img = nearData.image
var x2 = (width/2 - 200 + j*100);
image(img, x2, y3, 80, 80);
}
}
}
}
if(valid_mode) {
if(quiz_done) {
textDisplay = "ValidQuiz: hit spacebar to continue";
}
else {
textDisplay = "ValidQuiz: hit 1, 2, 3, or 4 to guess";
}
}
else {
if(quiz_done) {
textDisplay = "TrainQuiz: hit spacebar to continue";
}
else {
textDisplay = "TrainQuiz: hit 1, 2, 3, or 4 to guess";
}
}
}
fill(0);
textSize(32);
textAlign(CENTER);
text(textDisplay, width/2, height-12);
}
function keyTyped() {
if(!haveStarted) {
return;
}
var mode = faceSelector.value();
if (key == 'q' && mode != 'Face') {
print("face")
faceSelector.value('Face');
}
else if (key == 'w' && mode != 'FaceMap') {
print("facemap")
faceSelector.value('FaceMap');
}
else if (key == 'e' && mode != 'Train') {
faceSelector.value('Train');
}
else if (key == 'r' && mode != 'Neighbors') {
faceSelector.value('Neighbors');
}
else if (key == 't' && mode != 'TrainQuiz') {
faceSelector.value('TrainQuiz');
}
else if (key == 'y' && mode != 'ValidQuiz') {
faceSelector.value('ValidQuiz');
}
if (key == ' ' &&
(mode == 'TrainQuiz' || mode == 'ValidQuiz') && quiz_done) {
quiz_done = false;
if(mode == 'TrainQuiz') {
curTrainIndex = (curTrainIndex + 1) % trainDataKeys.length;
}
else {
curValidIndex = (curValidIndex + 1) % validDataKeys.length;
}
changeRandomSeed();
}
else if ((mode == 'TrainQuiz' || mode == 'ValidQuiz') && quiz_done == false) {
if(key >= '1' && key <= '4') {
guessed_answer = key - '0';
quiz_done = true;
}
}
if (key == 's') {
saveCurrentSettings();
}
else if (key == 'i') {
interpolateCurrent();
}
else if (key == 'l') {
loadCurrentSettings();
}
if (key == '!') {
saveBlocksImages();
}
else if (key == '@') {
saveBlocksImages(true);
}
}
function interpolateCurrent() {
var curNeighborSettings = [];
for(var i=0; i<4; i++) {
neighborKey = curNeighbors[i]
if(neighborKey in trainValues) {
curNeighborSettings.push(trainValues[neighborKey]);
}
}
for(var i=0; i<NUM_SLIDERS; i++) {
sliders[i].value(50);
}
if(curNeighborSettings.length > 0) {
settings = curNeighborSettings[0];
for(var i=0; i<settings.length; i++) {
var sum = 0;
for(j=0; j<curNeighborSettings.length; j++) {
sum += curNeighborSettings[j][i];
}
var avg = int(sum / curNeighborSettings.length)
sliders[i].value(avg);
}
}
}
function loadCurrentSettings() {
var curKey = trainDataKeys[curTrainIndex];
for(var i=0; i<NUM_SLIDERS; i++) {
sliders[i].value(50);
}
if (curKey in trainValues) {
var settings = trainValues[curKey]
for(var i=0; i<settings.length; i++) {
sliders[i].value(settings[i]);
}
}
}
function updateSlidersForTraining() {
var mode = faceSelector.value();
var curKey = trainDataKeys[curTrainIndex];
// first find the closest neighbors
var nearest = allEmbeddingsTree.nearest(trainData[curKey].embedding[0], 5);
curNeighbors = [];
curNeighborSettings = [];
for(var i=0; i<5; i++) {
if(nearest[i][0][128] != curKey) {
var neighborKey = nearest[i][0][128];
curNeighbors.push(neighborKey);
if(neighborKey in trainValues) {
curNeighborSettings.push(trainValues[neighborKey]);
}
}
}
loadCurrentSettings();
// if(mode == 'Neighbors') {
// interpolateCurrent();
// }
// else {
// loadCurrentSettings();
// }
}
function getAverageSettingsFrom(e) {
// first find the closest neighbors
var nearest = allEmbeddingsTree.nearest(e, 4);
curNeighbors = [];
curNeighborSettings = [];
for(var i=0; i<4; i++) {
var neighborKey = nearest[i][0][128];
curNeighbors.push(neighborKey);
if(neighborKey in trainValues) {
curNeighborSettings.push(trainValues[neighborKey]);
}
}
for(var i=0; i<4; i++) {
neighborKey = curNeighbors[i]
if(neighborKey in trainValues) {
curNeighborSettings.push(trainValues[neighborKey]);
}
}
var trainValueKeys = Object.keys(trainValues);
var props = trainValues[trainValueKeys[0]];
if(curNeighborSettings.length > 0) {
settings = curNeighborSettings[0];
for(var i=0; i<settings.length; i++) {
var sum = 0;
for(j=0; j<curNeighborSettings.length; j++) {
sum += curNeighborSettings[j][i];
}
var avg = int(sum / curNeighborSettings.length)
props[i] = avg;
}
}
return [props, curNeighbors];
}
function keyPressed() {
if(!haveStarted) {
return;
}
var mode = faceSelector.value();
if (mode == 'FaceMap') {
if (keyCode == LEFT_ARROW || keyCode == UP_ARROW) {
curFaceIndex = (curFaceIndex + faceData.length - 1) % faceData.length;
} else if (keyCode === RIGHT_ARROW || keyCode == DOWN_ARROW) {
curFaceIndex = (curFaceIndex + 1) % faceData.length;
}
}
else if (mode == 'Train' || mode == 'Neighbors') {
if (keyCode == LEFT_ARROW || keyCode == UP_ARROW) {
curTrainIndex = (curTrainIndex + trainDataKeys.length - 1) % trainDataKeys.length;
updateSlidersForTraining();
} else if (keyCode == RIGHT_ARROW || keyCode == DOWN_ARROW) {
curTrainIndex = (curTrainIndex + 1) % trainDataKeys.length;
updateSlidersForTraining();
}
}
}
Raw
train_data.json
This file has been truncated, but you can view the full file.
{
"000001": {"landmarks": [{"left_eye": [[-1.082368150584677, -1.1315914745344497], [-0.9593439214531732, -1.280429936290964], [-0.7185988847742163, -1.2464195066724204], [-0.5410534149832094, -1.0324529610883009], [-0.7526093143927599, -1.0056744699934634], [-0.9933543510717169, -1.039684899612007]], "nose_tip": [[-0.6517630300672874, 0.2325432722547785], [-0.5325958348150934, 0.3249319764121349], [-0.3526397188495179, 0.3881315433000849], [-0.17075508594428748, 0.33071752723109965], [0.041282942700176795, 0.27378564039702813]], "top_lip": [[-0.6273951851470185, 0.5948661503604983], [-0.5364528686944032, 0.5661591423260055], [-0.35553249425900024, 0.5690519177354879], [-0.2057297740326586, 0.6317693553885243], [0.0058261253768919375, 0.6049908642936865], [0.4284557949610792, 0.5815872778432448], [0.9104279975539068, 0.6194547413410985], [0.788850156127144, 0.6778330158799111], [0.00437973767215075, 0.695451051511388], [-0.17702276599816597, 0.7227116718411394], [-0.35746101119865514, 0.6896655006924233], [-0.5378992563991444, 0.6566193295437069]], "right_eye": [[0.33243080298474414, -0.9581644217973353], [0.5162439528296294, -1.1361920208232559], [0.7881066437176477, -1.162006253448266], [0.9967697677177159, -1.0078643701077008], [0.7842496098383378, -0.9207790875343954], [0.5425403146895535, -0.8944827256744714]], "right_eyebrow": [[0.007493259141964269, -1.3856153837306597], [0.40189804992657274, -1.5301146823729506], [0.7953385822413537, -1.6143071895367735], [1.1868505976164798, -1.577886113743661], [1.5457985710778033, -1.3911801884892936]], "nose_bridge": [[-0.3601330405478064, -1.0295601856788186], [-0.39655411634091875, -0.6380481703036927], [-0.46264645863835113, -0.2771716799027142], [-0.5292209301706973, 0.11385820623749812]], "bottom_lip": [[0.9104279975539068, 0.6194547413410985], [0.48104851868092724, 1.0650058681408137], [0.0861615986614051, 1.239658562522338], [-0.15506556725246554, 1.2358015286430282], [-0.33550381245295474, 1.2027553574943122], [-0.5130492822439616, 0.9887888119101929], [-0.6273951851470185, 0.5948661503604983], [-0.5378992563991444, 0.6566193295437069], [-0.361318045077965, 0.9308926666062939], [-0.18136192911238952, 0.9940922334942438], [0.02971184106224728, 0.99746713813864], [0.788850156127144, 0.6778330158799111]], "left_eyebrow": [[-1.345552515244248, -1.6485383652156484], [-1.2234925445825717, -1.7370700354936948], [-1.0133830328777622, -1.6733883393708313], [-0.8343911753820142, -1.5498819810044133], [-0.6257280513819461, -1.395740097663848]], "transform": {"center": [129.48611111111111, 164.94444444444446], "angle": -0.01598785619757211, "scale": 33.15952225070593}, "chin": [[-1.2642527834899076, -1.0741774584654644], [-1.3313093842571675, -0.6529941765860182], [-1.3079057978067257, -0.23036450700183098], [-1.133735232660115, 0.19467580875692503], [-0.9294112717742705, 0.6201982537505948], [-0.7246051816535122, 1.0155673030050305], [-0.5801058830112215, 1.4099720937896392], [-0.3757819221253769, 1.8354945387833088], [-0.04650521516837345, 1.9915649390635288], [0.40627785015504764, 1.968643481848001], [0.9227426116013326, 1.7356125129276636], [1.4406537607523586, 1.4121213567896251], [1.9298579018688922, 0.9976878841989713], [2.23910592701985, 0.5200548447203672], [2.3990333611793804, -0.05044902815050689], [2.4991361330953565, -0.6520705552304422], [2.5389321135328644, -1.254656340780205]]}], "url": "http://i.imgur.com/iBvM5aU.jpg", "embedding": [[-0.1066107302904129, 0.1485077291727066, 0.039523154497146606, -0.03118717670440674, -0.14745712280273438, 0.057141903787851334, -0.0691254585981369, -0.09960339963436127, 0.22188687324523926, -0.1243767961859703, 0.23935052752494812, -0.07511913776397705, -0.34320682287216187, 0.076741062104702, -0.08805474638938904, 0.20431597530841827, -0.2400541603565216, -0.13779573142528534, -0.12186677008867264, -0.12693065404891968, -0.03830017149448395, -0.025015411898493767, 0.06169622018933296, 0.1271224021911621, -0.20797201991081238, -0.36247333884239197, 0.022544126957654953, -0.06996633112430573, -0.01914086937904358, -0.25682058930397034, 0.008568190969526768, 0.065699502825737, -0.1454155594110489, 0.07797020673751831, -0.009573593735694885, 0.11103647947311401, -0.0285562202334404, -0.15743309259414673, 0.2089920938014984, -0.060973260551691055, -0.20405620336532593, -0.129622682929039, 0.10013291239738464, 0.2830047309398651, 0.29707640409469604, -0.08574699610471725, 0.008662041276693344, -0.09223061054944992, 0.17101623117923737, -0.2949543595314026, 0.0042231082916259766, 0.1493961662054062, -0.003148164600133896, 0.10517379641532898, 0.1334391087293625, -0.16013196110725403, -0.04087948054075241, 0.15982848405838013, -0.07950172573328018, -0.026963332667946815, 0.06907039880752563, -0.020525097846984863, 0.033665142953395844, -0.1001741886138916, 0.31165194511413574, 0.09398506581783295, -0.1851806640625, -0.11977623403072357, 0.14412885904312134, -0.166152685880661, -0.05420549213886261, 0.07561560720205307, -0.11570170521736145, -0.21482019126415253, -0.31546851992607117, -0.013671251945197582, 0.33818429708480835, 0.16871163249015808, -0.1523156762123108, 0.03564263880252838, -0.041831448674201965, -0.057398829609155655, 0.0007435409352183342, 0.15268775820732117, -0.05465215817093849, 0.025998586788773537, -0.10950946062803268, 0.10757769644260406, 0.24762581288814545, 0.01226470060646534, -0.055185332894325256, 0.2214655578136444, -0.04510842263698578, -0.09844058752059937, 0.0459165945649147, 0.11920461803674698, -0.22929653525352478, -0.022295590490102768, -0.19496098160743713, -0.048880964517593384, 0.018183540552854538, 0.011494350619614124, -0.011754537001252174, 0.09797869622707367, -0.12854936718940735, 0.1525353044271469, -0.03767697885632515, -0.007157992571592331, -0.04525915905833244, -0.030064966529607773, -0.12139441817998886, 0.004227103665471077, 0.19985349476337433, -0.32485613226890564, 0.15989111363887787, 0.0861654207110405, 0.08745167404413223, 0.14284919202327728, 0.03687800467014313, 0.06106988713145256, 0.012853779830038548, 0.01497199758887291, -0.05323990061879158, -0.05195643752813339, 0.008762119337916374, -0.059743717312812805, 0.08953282237052917, 0.005234583280980587]]},
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