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PS2 MDDN 342 2018
license: mit

PS2 MDDN 342 2018

So with my face, I wanted to create it based off my old project, where I used simple line geometry to shows contours and facial features. The features of the face is that it can take be trained off Hair, Eye Colour, Skin tone, Lip Darkness and facial tilt (which I didn’t use much)

With the training sets, I mapped each slider as close as I could to represent the person, and there facial features, then after training all 160 faces, I saw a decent trend, that followed on the training quiz, where I could assume which persons face was onscreen. I am able to get the quiz right most of the time, the only time is if there is person who has very similar features.

One thing I changed in my final version was that now the eye colour, is now shown on the nose, this was because when I was doing the quiz before, I found it hard to see what each colour was, so I extended it to the nose as well

Overall I would say my face works fairly well, and a person should be able to guess the person in the quiz fairly well each time as well. I chose not to incorporate the male verses female aspect for the training, and I wanted to quiz to be uniform across the board to each person, i.e. so the quiz isn’t a straight give away, just be showing the gender. but rather is based on actual facial features.

/*
* FaceMap class - holds all informaiton about one mapped
* face and is able to draw itself.
*/
/*
//code structure works in that facialAttribe[PointThatIsStores][0=x, 1 = y];
*/
// other variables can be in here too
// these control the colors used
const bg_color = [225, 206, 187];
const fg_color = [151, 102, 52];
const stroke_color = [95, 52, 8];
function Face() {
// these are state variables for a face
// (your variables may be different)
this.hair_value = 0;
this.skin_value = 1;
this.tilt_value = 2;
this.eyeColorR = 3;
this.eyeColorG = 4;
this.eyeColorB = 5;
this.lipColor = 6;
/*
* 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) {
var head_heightY = (positions.chin[8][1]-positions.chin[2][1])*2.5;
var head_heightX = (positions.chin[8][0]-positions.chin[2][0])*2.5;
var eyebrowTopLX = positions.left_eyebrow[2][0];
var eyebrowTopLY = positions.left_eyebrow[2][1];
var eyebrowTopRX = positions.right_eyebrow[2][0];
var eyebrowTopRY = positions.right_eyebrow[2][1];
var head_width = dist(positions.chin[0][0], positions.chin[0][1], positions.chin[16][0], positions.chin[16][1]);
push();
rotate(this.tilt_value);
rectMode(CENTER);
noFill();
/*--------------------------------------------------------------------------*/
fill(255);
strokeWeight(0.009);
//Main geometic lines
for(var i=0; i<positions.chin.length; i++) {
for(var j=0; j<positions.bottom_lip.length/16; j++) {
stroke(this.skin_value,this.skin_value,this.skin_value);
line(positions.chin[i][0], positions.chin[i][1], positions.bottom_lip[j][0], positions.bottom_lip[j][1]);
}
}
for(var i=0; i<positions.chin.length; i++) {
for(var j=0; j<positions.top_lip.length/16; j++) {
stroke(this.skin_value,this.skin_value,this.skin_value);
line(positions.chin[i][0], positions.chin[i][1], positions.top_lip[j][0], positions.top_lip[j][1]);
}
}
//head lines
for(var i=0; i<positions.chin.length; i++) {
for(var j=0; j<positions.right_eyebrow.length; j++) {
stroke(this.skin_value,this.skin_value,this.skin_value);
line(positions.chin[i][0], positions.chin[i][1], positions.right_eyebrow[2][0], positions.right_eyebrow[2][1]);
}
}
for(var i=0; i<positions.chin.length; i++) {
for(var j=0; j<positions.left_eyebrow.length; j++) {
stroke(this.skin_value,this.skin_value25,this.skin_value);
line(positions.chin[i][0], positions.chin[i][1], positions.left_eyebrow[2][0], positions.left_eyebrow[2][1]);
}
}
/*--------------------------------------------------------------------------*/
//top of the head to right eyebrows
for(var i=0; i<positions.right_eyebrow.length; i++) {
line(eyebrowTopRX,eyebrowTopRY-0.8+this.hair_value/2,positions.right_eyebrow[i][0], positions.right_eyebrow[i][1]);
line(eyebrowTopRX-1,eyebrowTopRY-0.8+this.hair_value/2,positions.right_eyebrow[i][0], positions.right_eyebrow[i][1]);
line(eyebrowTopRX-0.5,eyebrowTopRY-1.2+this.hair_value/2,positions.right_eyebrow[i][0], positions.right_eyebrow[i][1]);
}
//top of the head to left eyebrows
for(var i=0; i<positions.right_eyebrow.length; i++) {
line(eyebrowTopLX,eyebrowTopLY-0.8+this.hair_value/2,positions.left_eyebrow[i][0], positions.left_eyebrow[i][1]);
line(eyebrowTopLX+1,eyebrowTopLY-0.8+this.hair_value/2,positions.left_eyebrow[i][0], positions.left_eyebrow[i][1]);
line(eyebrowTopLX+0.5,eyebrowTopLY-1.2+this.hair_value/2,positions.left_eyebrow[i][0], positions.left_eyebrow[i][1]);
}
/*--------------------------------------------------------------------------*/
//facial Dots
//UnderLines for basic facial outlines
stroke(255);
strokeWeight(0.02);
noFill();
beginShape();
for(var i=0; i<positions.left_eye.length;i++) {
vertex(positions.left_eye[i][0], positions.left_eye[i][1]);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.right_eye.length;i++) {
vertex(positions.right_eye[i][0], positions.right_eye[i][1]);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.top_lip.length;i++) {
vertex(positions.top_lip[i][0], positions.top_lip[i][1]);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.bottom_lip.length;i++) {
vertex(positions.bottom_lip[i][0], positions.bottom_lip[i][1]);
}
endShape(CLOSE);
/*--------------------------------------------------------------------------*/
//Facial Dots for completing shapes
noStroke();
beginShape();
for(var i=0; i<positions.right_eyebrow.length; i++) {
ellipse(positions.right_eyebrow[i][0], positions.right_eyebrow[i][1],0.2, 0.2);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.left_eyebrow.length; i++) {
ellipse(positions.left_eyebrow[i][0], positions.left_eyebrow[i][1],0.2, 0.2);
}
endShape(CLOSE);
fill(this.eyeColorR,this.eyeColorG,this.eyeColorB);
beginShape();
for(var i=0; i<positions.left_eye.length;i++) {
ellipse(positions.left_eye[i][0], positions.left_eye[i][1],0.1, 0.1);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.right_eye.length;i++) {
ellipse(positions.right_eye[i][0], positions.right_eye[i][1],0.1, 0.1);
}
endShape(CLOSE);
fill(this.eyeColorR,this.eyeColorG,this.eyeColorB);
beginShape();
vertex(positions.nose_bridge[0][0], positions.nose_bridge[0][1]);
for(var i=0; i<positions.nose_tip.length;i++) {
ellipse(positions.nose_tip[i][0], positions.nose_tip[i][1],0.15, 0.15);
}
endShape(CLOSE);
fill(this.lipColor,this.lipColor/2,this.lipColor/2);
beginShape();
for(var i=0; i<positions.top_lip.length;i++) {
ellipse(positions.top_lip[i][0], positions.top_lip[i][1],0.1, 0.1);
}
endShape(CLOSE);
beginShape();
for(var i=0; i<positions.bottom_lip.length;i++) {
ellipse(positions.bottom_lip[i][0], positions.bottom_lip[i][1],0.1, 0.1);
}
endShape(CLOSE);
fill(255,255,255);
pop();
}
/* set internal properties based on list numbers 0-100 */
this.setProperties = function(settings) {
//print(settings);
this.hair_value = map(settings[0], 0, 100, -10, 10);
this.skin_value = map(settings[1], 0, 100, 0, 255);
this.tilt_value = map(settings[2], 0, 100, -30, 30);
this.eyeColorR = map(settings[3], 0, 100, 0, 255);
this.eyeColorG = map(settings[4], 0, 100, 0, 255);
this.eyeColorB = map(settings[5], 0, 100, 0, 255);
this.lipColor = map(settings[6], 0, 100, 0, 255);
}
/* get internal properties as list of numbers 0-100 */
this.getProperties = function() {
let settings = new Array(7);
settings[0] = map(this.hair_value, -10, 10, 0, 100);
settings[1] = map(this.skin_value, 0, 255, 0, 100);
settings[2] = map(this.tilt_value, -30,30, 0, 100);
settings[3] = map(this.eyeColorR, 0, 255, 0, 100);
settings[4] = map(this.eyeColorG, 0, 255, 0, 100);
settings[5] = map(this.eyeColorB, 0, 255, 0, 100);
settings[6] = map(this.lipColor, 0, 255, 0, 100);
return settings;
}
}
// given an array of [x,y] points, 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];
}
function polygon(x, y, radius, npoints) {
var angle = TWO_PI / npoints;
beginShape();
for (var a = 0; a < TWO_PI; a += angle) {
var sx = x + cos(a) * radius;
var sy = y + sin(a) * radius;
vertex(sx, sy);
}
endShape(CLOSE);
}
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.6.1/p5.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.6.1/addons/p5.dom.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/seedrandom/2.4.3/seedrandom.min.js"></script>
<script src="https://d3js.org/d3-random.v1.min.js"></script>
<script src="z_clmtrackr.js"></script>
<script src="z_model_pca_20_svm.js"></script>
<script language="javascript" type="text/javascript" src="z_purview_helper.js"></script>
<script language="javascript" type="text/javascript" src="z_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="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>Hair Length</td>
<td id="slider1Container"></td>
</tr>
<tr>
<td>Skin Darkness</td>
<td id="slider2Container"></td>
</tr>
<tr>
<td>Facial Tilt</td>
<td id="slider3Container"></td>
</tr>
<tr>
<td>EyeColor R</td>
<td id="slider4Container"></td>
</tr>
<tr>
<td>EyeColor G</td>
<td id="slider5Container"></td>
</tr>
<tr>
<td>EyeColor B</td>
<td id="slider6Container"></td>
</tr>
<tr>
<td>Lip Darkness</td>
<td id="slider7Container"></td>
</tr>
<tr>
<td>setting 8</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>Face Draw</td>
<td id="checkbox1Container"></td>
</tr>
<tr>
<td>Face Targets</td>
<td id="checkbox2Container"></td>
</tr>
<tr>
<td>Face Points</td>
<td id="checkbox3Container"></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>
/**
* k-d Tree JavaScript - V 1.01
*
* https://github.com/ubilabs/kd-tree-javascript
*
* @author Mircea Pricop <pricop@ubilabs.net>, 2012
* @author Martin Kleppe <kleppe@ubilabs.net>, 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;
}));
{
"commits": [
{
"sha": "f49f981129c93eb67101fe81af27ed3e786b15f9",
"name": "Facial_Final"
},
{
"sha": "565a534680623db7b7e2c1b782f2001b434b7733",
"name": "Facial_Picture_Testing"
},
{
"sha": "4ff3e6152012e77b9348b6192dbe44e4515c9249",
"name": "Facial_Training_Test"
},
{
"sha": "c711ce186b299f393de2ba21f44e1ef2253823a2",
"name": "Facial_Modifer_Slider"
},
{
"sha": "1ac7e9d5734e13292e8474f301fca741032a2218",
"name": "Facial_Anchor_Mapping"
},
{
"sha": "ce4f2be53aad990135a01e432476e8874c5ea106",
"name": "Concept_Alteration"
},
{
"sha": "10382716d41bc6bfb5bf87132060e062291316bd",
"name": "Facial_Mapping_Experiments"
},
{
"sha": "04f2ab17099b383756d8aa0ad1716fcdef801769",
"name": "Intial_Experiments"
}
]
}
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{"right_eye": [[0.5669913111895505, -0.8175985529301849], [0.8042524498506649, -0.9297693884966264], [1.0501467785627774, -0.9008754876192222], [1.2347879024803765, -0.7559349109169072], [1.0350538547476638, -0.7485936676187326], [0.8003766095921957, -0.7537614546300253]], "left_eyebrow": [[-1.6309647234043476, -1.2299254808273112], [-1.3074323193297848, -1.5280293870641748], [-0.9403235277814689, -1.6725595265477258], [-0.5520725158726878, -1.7109681270101866], [-0.17891442777902022, -1.5970949074721579]], "chin": [[-2.560159004441164, -0.6164512882515883], [-2.4419388723293705, -0.12078679056889419], [-2.3237187402175774, 0.3748777071138002], [-2.170555410683029, 0.8830512351059617], [-1.8862524815084556, 1.300196147892147], [-1.4820270362505021, 1.6025863316062445], [-1.0165483861980351, 1.788929839495431], [-0.5273436222794566, 1.964056263827973], [-0.035554964855231685, 2.021844065582781], [0.41265730509523957, 1.9260581005842765], [0.7474067927264463, 1.6516803082135243], [1.0485050296877203, 1.3061241742444376], [1.2797168718034835, 0.9355499796564165], [1.429825235517091, 0.5162316105833493], [1.5087552576323644, 0.1305644921802145], [1.5639591658815262, -0.24388554266627616], [1.5492766792851769, -0.6433536381317015]], "right_eyebrow": [[0.5350424444912053, -1.4991961212833014], [0.7947377502656083, -1.56391472911752], [1.110518473823232, -1.5100027676211814], [1.353828909029698, -1.363770244166043], [1.4897258584622508, -1.1377261890615726]], "left_eye": [[-1.191796080723638, -0.9150262668037465], [-0.9420259117530563, -1.0621402997929439], [-0.6724054691748325, -1.044463482472184], [-0.4528211478344778, -0.8870138754604014], [-0.7000074232994133, -0.8572384650489384], [-0.9696278658776372, -0.8749152823696983]], "nose_bridge": [[0.2326522607771081, -1.0949706760253477], [0.25121058763192694, -0.8715105144265235], [0.2934950283528572, -0.6592674363843436], [0.34699655263043166, -0.42329824447605224]], "bottom_lip": [[0.8556411529378879, 0.4683689456323621], [0.6705895918015246, 0.8751782843959621], [0.4083103925214754, 1.0572355148079147], [0.1723412006131841, 1.1107370390854892], [-0.07355312809892828, 1.081843138208085], [-0.5165976110381071, 0.9429518580511216], [-1.0006345879453928, 0.5331481885631111], [-0.8608617982543706, 0.5831843098009803], [-0.011007976551591858, 0.9071271510943072], [0.21245218504723226, 0.8885688242394882], [0.4596384605121678, 0.8587934138280252], [0.7495196139167979, 0.4895111659928272]], "nose_tip": [[-0.25866532433182204, -0.10792795813719287], [-0.03649710948582112, -0.06781697370314466], [0.2081052724734681, 0.019746238463126495], [0.38540515309289247, -0.03504723256727112], [0.5627050337123167, -0.08984070359766869]], "top_lip": [[-1.0006345879453928, 0.5331481885631111], [-0.5498384244892753, 0.3200236009868722], [-0.07660809391986935, 0.15435124114285628], [0.14556012092613158, 0.1944622255769045], [0.36902028252495567, 0.17590389872208567], [0.6610748922164679, 0.2410329437750685], [0.8556411529378879, 0.4683689456323621], [0.7495196139167979, 0.4895111659928272], [0.3427102751531979, 0.30445960485646395], [0.09552399968826236, 0.3342350152679269], [-0.11542713160109441, 0.3178501446999902], [-0.8608617982543706, 0.5831843098009803]], "transform": {"center": [166.15277777777777, 177.93055555555554], "scale": 38.103839503080835, "angle": 0.44163034041047217}},
{"right_eye": [[0.4151434248116892, -0.9747116017375426], [0.6164530502082548, -1.1177643511780764], [0.840374908534021, -1.115304567222966], [1.0812559415566874, -1.0037103832211225], [0.8629871414632213, -0.9697920338273219], [0.6083402080208444, -0.9302206262012211]], "left_eyebrow": [[-1.3575459734645086, -1.5933991816579023], [-1.228992614765765, -1.7251458146338354], [-1.04710194802121, -1.753411105795336], [-0.8118739732308435, -1.6781950551424039], [-0.6437492069059991, -1.5552947546759603]], "chin": [[-1.2808629421674176, -0.8601834564473818], [-1.3278137016588496, -0.44306481491246047], [-1.3020081944524593, -0.037252289842139324], [-1.1977933623159471, 0.3936322521124927], [-1.0208222634816126, 0.8132106776025245], [-0.8438511646472786, 1.2327891030925562], [-0.6361549906963333, 1.6103363370013768], [-0.39208068339647717, 1.9822305126778974], [0.0056189994864335735, 2.1439687304483623], [0.47853473302227667, 2.070478973428461], [0.9595633087455303, 1.8094454914317046], [1.3565295013063619, 1.4869618592017262], [1.7001583858213816, 1.0609968851573148], [1.8926216787084575, 0.6212660106931931], [2.001022588433111, 0.1200849859958496], [2.109423498157765, -0.381096038701494], [2.139415082952296, -0.9073490802831485]], "right_eyebrow": [[0.17918195969924341, -1.5341495023909184], [0.5316571767237532, -1.6634363514117416], [0.8954385102128634, -1.7199669337347425], [1.2511070015145629, -1.5889537910808884], [1.5146002674664296, -1.331847073683401]], "left_eye": [[-1.127237566584363, -1.0703394143534375], [-0.9986842078856193, -1.2020860473293709], [-0.7691092913275532, -1.1632481300253494], [-0.5589533334214976, -1.009622754442295], [-0.7828751917472637, -1.0120825383974055], [-1.0067970500730299, -1.0145423223525156]], "nose_bridge": [[-0.23720319151359864, -1.096878411881907], [-0.28980700923733055, -0.7161379036958966], [-0.3424108269610625, -0.3353973955098862], [-0.3642895695681836, 0.0033119210949131075]], "bottom_lip": [[1.0220062622897037, 0.5330175499426296], [0.6702645355872733, 1.1465262489638959], [0.21996103498063055, 1.3655285393794412], [-0.07106403181065749, 1.410753005237842], [-0.3426701399499349, 1.3411900128172096], [-0.6481945974830128, 1.0533582203031115], [-0.8898091208277586, 0.4575421863008249], [-0.7693686043164254, 0.5133392783017465], [-0.34586341422712463, 1.0808900211425327], [-0.07991036432014736, 1.1140748802142542], [0.18038962735452982, 1.1108816059370643], [0.9492499955918816, 0.5443236664072298]], "nose_tip": [[-0.6189365030105607, 0.042883328721013844], [-0.4815368118023271, 0.20781482076866853], [-0.24630883701196074, 0.283030871421601], [-0.0029680200341839318, 0.1707031970976782], [0.209647721826982, 0.10040671435496656]], "top_lip": [[-0.8898091208277586, 0.4575421863008249], [-0.6771933789665927, 0.38724570355811316], [-0.4112403290596155, 0.42043056262983447], [-0.14528727915263823, 0.4536154217015558], [0.1457377876386498, 0.40839095584315493], [0.5935815042901821, 0.4133105237533757], [1.0220062622897037, 0.5330175499426296], [0.9492499955918816, 0.5443236664072298], [0.12631882898663913, 0.5231784141221881], [-0.17035929603694905, 0.5320247466316779], [-0.39993421259501527, 0.49318682932765656], [-0.7693686043164254, 0.5133392783017465]], "transform": {"center": [388.7916666666667, 118.43055555555556], "scale": 27.163027335191224, "angle": 0.15416410878170614}}
],
"url": "z_selfie.jpg"}
]
// recent work from my @VicUniWgtn 3rd year media design students that combines @nulhom's dlib face library with @p5xjs
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 drawFaceCheckbox;
var faceGuideCheckbox;
var facePointsCheckbox;
var sliders = [];
var NUM_SLIDERS = 12;
var sliderTint;
var selfieData = []
var trainData = {}
var trainDataKeys = []
var trainValues = {}
var validData = {}
var validDataKeys = []
var faceMapping = null;
var loadedSelfieData = [];
function preload () {
loadedSelfieData = loadJSON('sample_images.json');
trainData = loadJSON('training_images.json');
trainValues = loadJSON('training_values.json');
validData = loadJSON('testing_images.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 loadedSelfieDataArray = Object.values(loadedSelfieData);
Array.prototype.unshift.apply(selfieData, loadedSelfieDataArray);
// create the drawing canvas, save the canvas element
main_canvas = createCanvas(canvasWidth, canvasHeight);
main_canvas.parent('canvasContainer');
curRandomSeed = int(focusedRandom(0, 100));
mainFace = new Face();
littleFace = new Face();
for(var i=0; i<selfieData.length; i++) {
var data = selfieData[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('Faces');
faceSelector.option('Train');
faceSelector.option('NearestNeighbors');
faceSelector.option('TrainingQuiz');
faceSelector.option('InterpolationQuiz');
faceSelector.value('Faces');
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);
}
drawFaceCheckbox = createCheckbox('', true);
drawFaceCheckbox.parent('checkbox1Container');
faceGuideCheckbox = createCheckbox('', false);
faceGuideCheckbox.parent('checkbox2Container');
facePointsCheckbox = createCheckbox('', false);
facePointsCheckbox.parent('checkbox3Container');
sliderTint = createSlider(0, 100, 10);
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 = [50, 50, 50];
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 == 'Faces' || mode == 'FacePair' || mode == 'Train') {
var do_train = (mode == 'Train');
var is_face = (mode == 'Faces');
var show_face_guide = faceGuideCheckbox.checked();
var show_face_points = facePointsCheckbox.checked();
var do_draw_face = drawFaceCheckbox.checked();
if(do_train) {
// var keys = Object.keys(trainData);
var curKey = trainDataKeys[curTrainIndex];
var data = trainData[curKey];
}
else {
var data = selfieData[curFaceIndex];
}
// Displays the image at its actual size at point (0,0)
var img = data.image
if (is_face) {
x2 = 0;
y1 = 0;
x1 = 0;
var im_w = 960;
var im_h = 500;
var rect_w = 960;
var rect_h = 540;
image(img, x2, y1, im_w, im_h);
var is_face = true;
}
else {
var x1 = (width/4-400/2);
var x2 = (3*width/4-400/2);
var y1 = (height/2-400/2);
var rect_w = 400;
var rect_h = 400;
var im_w = 400;
var im_h = 400;
image(img, x1, y1, 400, 400);
var is_face = false;
}
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);
}
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, rect_w, rect_h);
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 = im_w / img.width;
var scale_y = im_h / 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];
if (show_face_points) {
ellipse(cur_x, cur_y, 5/data_scale, 5/data_scale);
}
// get ready for drawing the face
shiftedSection[i][0] = cur_x;
shiftedSection[i][1] = cur_y;
}
});
noFill();
if(show_face_guide) {
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;
// interpolation
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);
trySettings = results[0];
if (typeof trySettings !== 'undefined') {
settings = trySettings;
// print("Using embedding ", i, results)
}
}
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);
if (do_draw_face) {
mainFace.draw(shifted_positions);
}
pop();
}
if(do_train) {
textDisplay = "Train: " + curKey;
}
else {
textDisplay = "";
}
}
else if (mode == 'NearestNeighbors') {
// 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 == 'TrainingQuiz' || mode == 'InterpolationQuiz') {
var curKey = trainDataKeys[curTrainIndex];
var data = trainData[curKey];
var valid_mode = false;
if (mode == 'InterpolationQuiz') {
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);
if (typeof settings !== 'undefined') {
littleFace.setProperties(settings);
}
littleFace.draw(shifted_positions);
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)
if (typeof nearData !== 'undefined') {
var img = nearData.image
var x2 = (width/2 - 200 + j*100);
image(img, x2, y3, 80, 80);
}
}
}
}
}
if(valid_mode) {
if(quiz_done) {
textDisplay = "InterpolationQuiz: hit spacebar to continue";
}
else {
textDisplay = "InterpolationQuiz: hit 1, 2, 3, or 4 to guess";
}
}
else {
if(quiz_done) {
textDisplay = "TrainingQuiz: hit spacebar to continue";
}
else {
textDisplay = "TrainingQuiz: hit 1, 2, 3, or 4 to guess";
}
}
}
fill(255);
textSize(32);
textAlign(CENTER);
text(textDisplay, width/2, height-12);
}
function keyTyped() {
if(!haveStarted) {
return;
}
var mode = faceSelector.value();
if (key == 'q' && mode != 'Faces') {
faceSelector.value('Faces');
}
else if (key == 'w' && mode != 'Train') {
faceSelector.value('Train');
}
else if (key == 'e' && mode != 'NearestNeighbors') {
faceSelector.value('NearestNeighbors');
}
else if (key == 'r' && mode != 'TrainingQuiz') {
faceSelector.value('TrainingQuiz');
}
else if (key == 't' && mode != 'InterpolationQuiz') {
faceSelector.value('InterpolationQuiz');
}
if (key == ' ' &&
(mode == 'TrainingQuiz' || mode == 'InterpolationQuiz') && quiz_done) {
quiz_done = false;
if(mode == 'TrainingQuiz') {
curTrainIndex = (curTrainIndex + 1) % trainDataKeys.length;
}
else {
curValidIndex = (curValidIndex + 1) % validDataKeys.length;
}
changeRandomSeed();
}
else if ((mode == 'TrainingQuiz' || mode == 'InterpolationQuiz') && 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 == 'NearestNeighbors') {
// 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 == 'Faces') {
if (keyCode == LEFT_ARROW || keyCode == UP_ARROW) {
curFaceIndex = (curFaceIndex + selfieData.length - 1) % selfieData.length;
} else if (keyCode === RIGHT_ARROW || keyCode == DOWN_ARROW) {
curFaceIndex = (curFaceIndex + 1) % selfieData.length;
}
}
else if (mode == 'Train' || mode == 'NearestNeighbors') {
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();
}
}
}
{
"162771": {"landmarks": [{"chin": [[-1.607575262062853, -1.0016724859194308], [-1.6351091555381696, -0.5396664325705911], [-1.5394992491248505, -0.07852759428757607], [-1.4131033927393726, 0.38239444022898283], [-1.2869243401203507, 0.8125305247733828], [-1.0378182913791492, 1.2110134442797993], [-0.7583599001987015, 1.5477076600754416], [-0.4175464128403919, 1.8531823183660128], [0.04467644427490394, 1.9115021618134882], [0.5370348400629903, 1.8772473515780308], [1.0280924132523397, 1.6582768415096198], [1.457361282730915, 1.4089539890019627], [1.7938386947601013, 1.0987096478493557], [2.006305091834827, 0.6661887218739381], [2.094977277721549, 0.14217716104786826], [2.1528635136361123, -0.3816175960117454], [2.180180603344973, -0.874409599332744]], "left_eye": [[-1.2385774699298584, -1.0658460310612226], [-1.0549457889291858, -1.2210766035207539], [-0.7776554354132997, -1.1922418874467005], [-0.5606361592429941, -0.9782578640067813], [-0.8067069552538093, -0.9457374839029732], 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