How to fix similar predictions in tenserflow.js - javascript

I'm doing a coding challenge from the coding train, and I'm trying to improve on his code. The idea is that the cars are driving around a race track. When I went back to check something, I noticed that I misspelled "activation: sigmoid", as in activation function. When I fixed it, the cars seemed to be driving in circles.
I'm a very new coder (as I am 12 years old), so many things in my code are broken, hard to understand, or just not finished. I'm also pretty new to stack overflow, so I might be breaking a lot of rules.
The link to download my project is here: https://1drv.ms/u/s!ApmY_SAko19ChzCKe5uNT7I9EZAX?e=YUg2ff
The misspelled words are at lines 29 and 34 in the nn.js file.
car.js
function pldistance(p1, p2, x, y) {
const num = abs((p2.y - p1.y) * x - (p2.x - p1.x) * y + p2.x * p1.y - p2.y * p1.x);
const den = p5.Vector.dist(p1, p2);
return num / den;
}
class Car {
constructor(brain, color = [random(255), random(255), random(255)]) {
this.colorGene = color;
this.dead = false;
this.finished = false;
this.fitness = 0;
this.rays = [];
this.wallRays = [];
this.degreeOfSight = degreeOfSight;
this.degreeOfRays = degreeOfSight / (numOfRays - 1);
if (this.degreeOfSight == 360) {
this.degreeOfRays = degreeOfSight / numOfRays;
}
this.pos = createVector(start.x, start.y);
this.vel = createVector();
this.acc = createVector();
this.sight = sight;
this.maxspeed = maxspeed;
this.maxforce = maxTurningSpeed;
this.currentGoal = 0;
this.timeTillDeadC = timeTillDead;
this.timeTillDead = this.timeTillDeadC;
this.goal;
this.rate = mutationRate;
if (degreeOfSight != 360) {
for (let a = -(this.degreeOfSight / 2); a <= this.degreeOfSight / 2; a += this.degreeOfRays) {
this.rays.push(new Ray(this.pos, radians(a)));
}
} else {
for (let a = -(this.degreeOfSight / 2); a < this.degreeOfSight / 2; a += this.degreeOfRays) {
this.rays.push(new Ray(this.pos, radians(a)));
}
}
for (let a = 0; a < 360; a += 45) {
this.wallRays.push(new Ray(this.pos, radians(a)));
}
if (brain) {
this.brain = brain.copy();
} else {
this.brain = new NeuralNetwork(this.rays.length + 2, 16, 2);
}
}
applyForce(force) {
this.acc.add(force);
}
update(x, y) {
this.timeTillDead--;
if (this.timeTillDead <= 0) {
this.dead = true;
}
if (!this.dead || this.finished) {
this.pos.add(this.vel);
this.vel.add(this.acc);
this.vel.limit(this.maxspeed);
this.acc.set(0, 0);
}
for (let i = 0; i < this.rays.length; i++) {
this.rays[i].rotate(this.vel.heading());
}
for (let i = 0; i < this.wallRays.length; i++) {
this.wallRays[i].rotate(this.vel.heading());
}
}
show(walls) {
push();
translate(this.pos.x, this.pos.y);
if (visualization) {
fill(this.colorGene[0], this.colorGene[1], this.colorGene[1]);
} else {
fill(0);
}
stroke(255);
const heading = this.vel.heading();
rotate(heading);
rectMode(CENTER);
rect(0, 0, 10, 5);
pop();
if (!this.dead) {
checkpoints[this.currentGoal].show();
}
for (let i = 0; i < this.rays.length; i++) {
let closest = null;
let record = this.sight;
for (let wall of walls) {
const pt = this.rays[i].cast(wall);
if (pt) {
const d = p5.Vector.dist(this.pos, pt);
if (d < record && d < this.sight) {
record = d;
closest = pt;
}
}
}
if (closest) {
if (showLines) {
ellipse(closest.x, closest.y, 4)
stroke(255, 100)
line(this.pos.x, this.pos.y, closest.x, closest.y);
}
}
}
}
check(checkpoints, walls) {
if (!this.dead) {
this.goal = checkpoints[this.currentGoal];
const d = pldistance(this.goal.a, this.goal.b, this.pos.x, this.pos.y);
if (d < 5) {
this.fitness++;
this.currentGoal++;
this.timeTillDead = this.timeTillDeadC;
if (this.currentGoal == checkpoints.length) {
this.finished = true;
this.fitness = this.fitness * 1.5;
if (endBarrier) {
this.dead = true;
} else {
this.currentGoal = 0;
}
}
}
}
for (let i = 0; i < this.wallRays.length; i++) {
let closest = null;
let record = this.sight;
for (let wall of walls) {
const pt = this.wallRays[i].cast(wall);
if (pt) {
const d = p5.Vector.dist(this.pos, pt);
if (d < record) {
record = d;
closest = pt;
}
}
}
if (record < 4) {
this.dead = true;
}
}
}
look(walls) {
const inputs = [];
for (let i = 0; i < this.wallRays.length; i++) {
let closest = null;
let record = this.sight;
for (let wall of walls) {
const pt = this.rays[i].cast(wall);
if (pt) {
const d = p5.Vector.dist(this.pos, pt);
if (d < record && d < this.sight) {
record = d;
closest = pt;
}
}
}
inputs[i] = map(record, 0, 50, 1, 0);
}
inputs.push(end.x);
inputs.push(end.y);
const output = this.brain.predict(inputs);
let angle = map(output[0], 0, 1, -PI, PI);
let speed = map(output[1], 0, 1, -this.maxspeed, this.maxspeed);
angle += this.vel.heading();
const steering = p5.Vector.fromAngle(angle);
steering.setMag(speed);
steering.limit(this.maxforce);
this.applyForce(steering);
}
mutateDemBabies() {
if (this.finished) {
this.rate = finishingMutationRate;
}
this.brain.mutate(this.rate);
let changeColor = this.brain.mutated();
if (changeColor) {
for (let color of this.colorGene) {
let r = map(random(20), 0, 20, -25, 25);
color += r;
}
}
this.rate = mutationRate;
}
dispose() {
this.brain.dispose();
}
}
nn.js
//<script src="https://cdn.jsdelivr.net/npm/#tensorflow/tfjs#1.1.0/dist/tf.min.js"></script>
class NeuralNetwork {
//this how many inputs, hidden, and output nodes there are. modelC is the brain that we want to copy to give to the new bird
constructor(inputNumber, hiddenNumber, outputNumber, modelC) {
if (modelC instanceof tf.Sequential) {
//this is the making a copy of the neural network
this.input_nodes = inputNumber;
this.hidden_nodes = hiddenNumber;
this.output_nodes = outputNumber;
this.model = modelC;
} else {
//this is the creating a random brain
this.input_nodes = inputNumber;
this.hidden_nodes = hiddenNumber;
this.output_nodes = outputNumber;
this.model = this.createBrain();
}
this.changeColor = false;
}
createBrain() {
//the model is the neural network
const model = tf.sequential();
//configuring the hidden layer
const hiddenLayer = tf.layers.dense({
units: this.hidden_nodes,
inputShape: [this.input_nodes],
activaation: "sigmoid"
});
//configuring the output layer
const outputLayer = tf.layers.dense({
units: this.output_nodes,
activaation: "sigmoid"
});
//adding the hidden layer to the model
model.add(hiddenLayer);
//adding the output layer to the model
model.add(outputLayer);
//returning the model
return model;
}
predict(inputs) {
//clearing the tensors after using them
//then returning the output
return tf.tidy(() => {
//creating a tensor with the inputs
const xs = tf.tensor2d([inputs]);
//running the inputs through the neural network
const ys = this.model.predict(xs);
//getting the raw numbers from the tensor object
const outputs = ys.dataSync();
//returning the outputs
return outputs;
});
}
copy() {
//clearing the tensors after using them
//then returning the output
return tf.tidy(() => {
//creating a new neural network
const modelCopy = this.createBrain();
//getting the weights from the old neural network
const weights = this.model.getWeights();
//setting the new weights
modelCopy.setWeights(weights);
//making a new network but this time with all the weights then returning it
return new NeuralNetwork(
this.input_nodes,
this.hidden_nodes,
this.output_nodes,
modelCopy
);
});
}
mutate(rate, colorGene) {
//clearing the tensors after using them
tf.tidy(() => {
this.changeColor = false;
//getting the weights so that we can change them later
const weights = this.model.getWeights();
//the variable that will be holding the mutated weights
const mutatedWeights = [];
for (let i = 0; i < weights.length; i++) {
//getting the shape of the current weights
let shape = weights[i].shape;
//making a copy of the raw numbers from the object tensor
//dataSync gets the numbers, but doesn't make a copy, so slice will make the copy
let values = weights[i].dataSync().slice();
for (let j = 0; j < values.length; j++) {
//if the random number is less than mutation rate the it runs the code
if (random(1) < rate) {
this.changeColor = true;
//mutating the value
//randomGaussianis returns a float from a series of numbers with a mean of 0
values[j] = values[j] + randomGaussian();
}
}
//holding the new value of each weight
mutatedWeights[i] = tf.tensor(values, shape);
}
//setting the mutated weights as the new weights
this.model.setWeights(mutatedWeights);
});
}
mutated() {
if (this.changeColor) {
this.changeColor = false;
return true;
} else {
this.changeColor = false;
return false;
}
}
dispose() {
//disposing the brain so that memory doesn't leak
this.model.dispose();
}
}

Related

how to generate random points in a circle (fractal trees)

I am making a tree with space-colonization algorithm in javascript. (with p5.js)
I followed the tutorial of https://www.youtube.com/watch?v=kKT0v3qhIQY&ab_channel=TheCodingTrain
or in C#
http://www.jgallant.com/procedurally-generating-trees-with-space-colonization-algorithm-in-xna/
I want to make a customized area (in this case a circle) where the leaves are generated randomly.
in Leaf.js I try to include some calculations of how the leaves get the random Coordinates within the circle.
So there is sketch.js , leaf.js, branch.js, tree.js
//leaf.js
function Leaf() {
function getChord(){
var r = 150;
var angle = random(0, 2 * PI);
var xChord = 2*r + sqrt(r) * cos(angle);
var yChord = r + sqrt(r) * sin(angle);
return (createVector(xChord, yChord));
}
this.pos = getChord();
this.reached = false;
// // var t = 2 * PI * random(0,1);
// // var r = sqrt(random(0,1));
// // var x = r * cos(t);
// // var y = r * sin(t);
// // this.pos = createVector(x, y);
// this.reached = false;
this.show = function() {
fill(58, 126, 34);
noStroke();
ellipse(this.pos.x, this.pos.y, 4, 4);
};
}
//branch.js
function Branch(parent, pos, dir) {
this.pos = pos;
this.parent = parent;
this.dir = dir;
this.origDir = this.dir.copy();
this.count = 0;
this.len = 3;
this.reset = function() {
this.dir = this.origDir.copy();
this.count = 0;
};
this.next = function() {
var nextDir = p5.Vector.mult(this.dir, this.len);
var nextPos = p5.Vector.add(this.pos, nextDir);
var nextBranch = new Branch(this, nextPos, this.dir.copy());
return nextBranch;
};
this.show = function() {
if (parent != null) {
stroke(151, 53, 48);
strokeWeight(1);
line(this.pos.x, this.pos.y, this.parent.pos.x, this.parent.pos.y);
}
};
}
And then in tree.js I push every leaf into leaves.
//tree.js
function Tree() {
this.leaves = [];
this.branches = [];
for (var i = 0; i < 1500; i++) {
this.leaves.push(new Leaf());
}
var pos = createVector(width / 2, height);
var dir = createVector(0, -1);
var root = new Branch(null, pos, dir);
this.branches.push(root);
var current = root;
var found = false;
while (!found) {
for (var i = 0; i < this.leaves.length; i++) {
var d = p5.Vector.dist(current.pos, this.leaves[i].pos);
if (d < max_dist) {
found = true;
}
}
if (!found) {
var branch = current.next();
current = branch;
this.branches.push(current);
}
}
this.grow = function() {
for (var i = 0; i < this.leaves.length; i++) {
var leaf = this.leaves[i];
var closestBranch = null;
var record = max_dist;
for (var j = 0; j < this.branches.length; j++) {
var branch = this.branches[j];
var d = p5.Vector.dist(leaf.pos, branch.pos);
if (d < min_dist) {
leaf.reached = true;
closestBranch = null;
break;
} else if (d < record) {
closestBranch = branch;
record = d;
}
}
if (closestBranch != null) {
var newDir = p5.Vector.sub(leaf.pos, closestBranch.pos);
newDir.normalize();
closestBranch.dir.add(newDir);
closestBranch.count++;
}
}
for (var i = this.leaves.length - 1; i >= 0; i--) {
if (this.leaves[i].reached) {
this.leaves.splice(i, 1);
}
}
for (var i = this.branches.length - 1; i >= 0; i--) {
var branch = this.branches[i];
if (branch.count > 0) {
branch.dir.div(branch.count + 1);
this.branches.push(branch.next());
branch.reset();
}
}
};
this.show = function() {
for (var i = 0; i < this.leaves.length; i++) {
this.leaves[i].show();
}
for (var i = 0; i < this.branches.length; i++) {
this.branches[i].show();
}
};
}
//sketch.js
var tree;
var max_dist = 30;
var min_dist = 10;
function setup() {
createCanvas(600, 600);
tree = new Tree();
}
function draw() {
background(111, 149, 231);
tree.show();
tree.grow();
}
Some how in the function getChord I think there is an infinite loop or having trouble getting the random value? Because it is not loading at all... It works when I change this.pos = getChord(); to this.pos = createVector(random(width),random(height-100);
Does anyone know how to solve this?
Or how to write codes to make an area of the circle where the leaves can be generated?
Thank you!

A* Algorithm - Javascript: Why does my algorithm not find the shortest path

I am working on visualizing A*. I have a problem where the algorithm finds a path, but it is not the shortest. If I remove the part of the A* function code which is commented as 'tie-breaking', the algorithm finds the shortest path, but it searches the whole grid just like Dijkstra's algorithm, which I don't think A* is supposed to do. These are the pictures of the results with and without tie-breaking:
With Tie-Breaking
Without Tie-Breaking
What is wrong? Here is my A* function:
async a_star_search() {
this.clearSearchNotWalls();
let openSet = [];
let closedSet = [];
let start, end;
let path = [];
this.findNeighbors();
//shapes is a 2d array of squares... a grid
for (let i = 0; i < this.shapes.length; i++) {
for (let j = 0; j < this.shapes[0].length; j++) {
if (this.shapes[i][j].type == "Start") {
start = this.shapes[i][j];
}
if (this.shapes[i][j].type == "End") {
end = this.shapes[i][j];
}
}
}
openSet.push(start);
while (openSet.length > 0) {
let lowestIndex = 0;
//find lowest index
for (let i = 0; i < openSet.length; i++) {
if (openSet[i].F < openSet[lowestIndex].F)
lowestIndex = i;
}
//current node
let current = openSet[lowestIndex];
//if reached the end
if (openSet[lowestIndex] === end) {
path = [];
let temp = current;
path.push(temp);
while (temp.cameFrom) {
path.push(temp.cameFrom);
temp = temp.cameFrom;
}
console.log("Done!");
for (let i = path.length - 1; i >= 0; i--) {
this.ctxGrid.fillStyle = "#ffff00";
this.ctxGrid.fillRect(path[i].x, path[i].y, 14, 14);
await new Promise(resolve =>
setTimeout(() => {
resolve();
}, this.animDelay / 2)
);
}
break;
}
this.removeFromArray(openSet, current);
closedSet.push(current);
let my_neighbors = current.neighbors;
for (let i = 0; i < my_neighbors.length; i++) {
var neighbor = my_neighbors[i];
if (!closedSet.includes(neighbor) && neighbor.type != "Wall") {
let tempG = current.G + 1;
let newPath = false;
if (openSet.includes(neighbor)) {
if (tempG < neighbor.G) {
neighbor.G = tempG;
newPath = true;
}
} else {
neighbor.G = tempG;
newPath = true;
openSet.push(neighbor);
}
if (newPath) {
neighbor.H = this.heuristic(neighbor, end);
neighbor.G = neighbor.F + neighbor.H;
neighbor.cameFrom = current;
}
}
}
//draw
for (let i = 0; i < closedSet.length; i++) { //BLUE
this.ctxGrid.fillStyle = "#4287f5";
this.ctxGrid.fillRect(closedSet[i].x, closedSet[i].y, 14, 14);
}
for (let i = 0; i < openSet.length; i++) { //GREEN
this.ctxGrid.fillStyle = "#00ff00";
this.ctxGrid.fillRect(openSet[i].x, openSet[i].y, 14, 14);
}
await new Promise(resolve =>
setTimeout(() => {
resolve();
}, 10)
);
}
if (openSet.length <= 0) {
//no solution
}
}
Here is my heuristic function:
heuristic(a, b) {
//let d = Math.sqrt(Math.pow(b.I - a.I, 2) + Math.pow(b.J - a.J, 2));
let d = Math.sqrt(Math.pow(b.x - a.x, 2) + Math.pow(b.y - a.y, 2));
return d;
}

How to pause the entire code for 1 second in javascript

I am trying to code an evolutionary neural network for the game snake. I already coded the neural network part and now I'd like to output the game of the best individual of every generation. For that I'm using the drawing library p5.js (https://p5js.org/).
In my code I am running a loop in where a new generation based on the last generation is created. Each individual of the generation will have to play the game and that is how they are rated. Now I want the best individual to be outputted after I let every individual play once.
Between each outputted turn of the game of the best individual I want the code to wait 500 milliseconds. How do I achieve that?
Here is the code I've already tried but here it only outputed the board after the last turn of each generation:
async function start() {
for (let i = 0; i < 50; i++) {
population.createNewGeneration();
let bestGameTurns = population.bestIndividual.game.turns; //Array of boards
for (let turn = 0; turn < bestGameTurns.length; turn++) {
let board = bestGameTurns[turn];
drawBoard(board);
let p = new Promise(resolve => setTimeout(resolve, 500));
await p;
function drawBoard(board) {
//Draw the board using p5.js rect()'s
}
}
}
}
Another version but the waiting didn't work here:
let i = 0;
setInterval(async () => {
population.createNewGeneration();
console.log(i, population.avgFitness);
let bestGameTurns = population.bestIndividual.game.turns; //Array of boards
for (let turn = 0; turn < bestGameTurns.length; turn++) {
let board = bestGameTurns[turn];
drawBoard(board);
let p = new Promise(resolve => setTimeout(resolve, 500));
await p;
function drawBoard(board) {
//Draw the board using p5.js rect()'s
}
}
i++;
}, 1);
The code you provided should do what you asked for, I could only clean up some parts for you. Explain a bit better what is the problem you are facing.
// The function should be defined only once.
function drawBoard(board) { }
async function start() {
for (let i = 0; i < 50; i++) {
population.createNewGeneration();
const bestGameTurns = population.bestIndividual.game.turns; //Array of boards
for (let turn = 0; turn < bestGameTurns.length; turn++) {
// Don't wait on first iteration
await new Promise(resolve => setTimeout(resolve, 500 * (turn ? 0 : 1 )));
drawBoard(bestGameTurns[turn]);
}
}
}
Original idea (discarded)
You can create a short function like that:
function pause(ms) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
Then in any async function you can call it like that:
async function () {}
// something happening
await pause(500);
// continue
}
The other idea
Now, the code in your question is not complete so this is kind of blind coding but.
So, first of all setInterval will be running the whole function every 1 millisecond (actually 4 ms, as this is the minimum in JS). Which means it will run those loops. I decided to focus on the part that was marked by you.
Instead of loop and trying to pause it, I ask that maybe rewriting the loop into function called each half second until condition is met would do?
Also, I move drawBoard outside
setInterval(async () => {
// ^^^^^^^^ <-- this should probably go
population.createNewGeneration();
console.log(i, population.avgFitness);
let bestGameTurns = population.bestIndividual.game.turns; //Array of boards
function tick(turn = 0) {
let board = bestGameTurns[turn];
function drawBoard(board) {
//Draw the board using p5.js rect()'s
}
drawBoard(board);
// here is "setTimeouted" loop
if (turn < bestGameTurns.length) {
setTimeout(tick, 500, turn + 1);
}
}
tick();
}, 1);
Thanks to everyone, your suggestions brought me to an idea. I found out that the problem was lying somewhere else. Because javascript only runs on the one thread (I think thats how its called), after we run over one generation, we have to stop that function to let another draw function, which runs every frame, draw the board. After it is drawn, the main function can continue. This is how it looks:
let isDrawn = false;
let currentBoard;
async function setup() {
for (let i = 0; i < 50; i++) {
population.createNewGeneration();
const bestGameTurns = population.bestIndividual.game.turns;
for (let turn = 0; turn < bestGameTurns.length; turn++) {
await step(bestGameTurns[turn], turn);
}
}
}
function step(board, turn) {
currentBoard = board;
isDrawn = false;
return new Promise(resolve => setTimeout(() => {
if (isDrawn) resolve();
}, 500));
}
setTimeout(() => {
if (currentBoard) {
drawBoard(currentBoard);
isDrawn = true;
currentBoard = undefined;
}
}, 1);
const nrOfCols = 10;
const nrOfRows = 10;
const fieldWidth = 20;
const nodeNrs = [24, 8, 8, 4];
const populationSize = 200;
const mutationRate = 0.01;
let population;
let game;
let isDrawn = false;
let currentBoard;
async function setup() {
createCanvas(500, 500);
population = new PopulationManager(populationSize);
for (let i = 0; i < 50; i++) {
population.createNewGeneration();
const bestGameTurns = population.bestIndividual.game.turns;
for (let turn = 0; turn < bestGameTurns.length; turn++) {
await step(bestGameTurns[turn]);
}
}
}
function step(board) {
currentBoard = board;
isDrawn = false;
return new Promise(resolve => setTimeout(() => {
if (isDrawn) resolve();
}, 500));
}
function draw() {
if (currentBoard) {
drawBoard(currentBoard);
isDrawn = true;
currentBoard = undefined;
}
}
function drawBoard(board) {
board.forEach((col, colNr) => {
col.forEach((field, rowNr) => {
fill(field.isSnake ? "green" : field.isFruit ? "red" : "black");
stroke(255);
rect(colNr*fieldWidth, rowNr*fieldWidth, fieldWidth, fieldWidth);
});
});
}
function play(game) {
setInterval(() => {
if (!game.lost) {
game.nextTurn();
drawBoard(game.board);
} else {
clearInterval(1);
}
}, 500);
}
class PopulationManager {
constructor(populationSize) {
this.population = createPopulation();
function createPopulation() {
let population = [];
for (let i = 0; i < populationSize; i++) {
let chromosomes = createRandomChromosomes();
let i = new Individual(chromosomes);
population.push(i);
}
return population;
function createRandomChromosomes() {
let arr = [];
let nrOfChromosomes = calcNrOfChromosomes();
for (let i = 0; i < nrOfChromosomes; i++)
arr.push(Math.random()*2-1);
return arr;
function calcNrOfChromosomes() {
let nr = 0;
for (let i = 0; i < nodeNrs.length - 1; i++)
nr += (nodeNrs[i] + 1)*nodeNrs[i + 1];
return nr;
}
}
};
}
createNewGeneration() {
let that = this;
getFitnessOfPop();
this.calcAvgFitness();
this.findBestIndividual();
let parents = selection();
breed(parents);
function getFitnessOfPop() {
that.population.forEach(iv => {
iv.fitness = iv.playGame();
});
that.population.sort((a, b) => a.fitness - b.fitness);
}
function selection() {
let totalFitness = that.population.map(iv => iv.fitness/* + 1 */).reduce((a,b) => a + b);
let allParents = [];
for (let i = 0; i < that.population.length/2; i++) {
allParents.push(selectRandomParents());
}
return allParents;
function selectRandomParents() {
let p1, p2;
do {
p1 = selectRandomParent();
p2 = selectRandomParent();
} while (p1 == p2);
return [p1, p2];
function selectRandomParent() {
let rdm = Math.random()*totalFitness;
return that.population.find((iv, i) => {
let sum = that.population.filter((iv2, i2) => i2 <= i).map(iv => iv.fitness /* + 1 */).reduce((a,b) => a + b);
return rdm <= sum;
});
}
}
}
function breed(allParents) {
that.population = [];
allParents.forEach(ps => {
let childChromosomes = crossOver(ps[0].chromosome, ps[1].chromosome);
childChromosomes = [mutate(childChromosomes[0]), mutate(childChromosomes[1])];
let child1 = new Individual(childChromosomes[0]);
let child2 = new Individual(childChromosomes[1]);
that.population.push(child1);
that.population.push(child2);
});
function crossOver(parent1Chromosome, parent2Chromosome) {
let crossingPoint = Math.round(Math.random()*parent1Chromosome.length);
let divided1 = divideChromosome(parent1Chromosome);
let divided2 = divideChromosome(parent2Chromosome);
let child1Chromosome = divided1[0].concat(divided2[1]);
let child2Chromosome = divided2[0].concat(divided1[1]);
return [child1Chromosome, child2Chromosome];
function divideChromosome(chromosome) {
let part1 = chromosome.filter((g, i) => i <= crossingPoint);
let part2 = chromosome.filter((g, i) => i > crossingPoint);
return [part1, part2];
}
}
function mutate(chromosome) {
chromosome = chromosome.map(g => {
if (Math.random() < mutationRate)
return Math.random()*2-1;
return g;
});
return chromosome;
}
}
}
calcAvgFitness() {
this.avgFitness = this.population.map(iv => iv.fitness).reduce((a, b) => a + b) / this.population.length;
}
findBestIndividual() {
let bestFitness = -1, bestIndividual;
this.population.forEach(i => {
if (i.fitness > bestFitness) {
bestFitness = i.fitness;
bestIndividual = i;
}
});
this.bestIndividual = bestIndividual;
}
}
class Individual {
constructor(chromosome) {
this.chromosome = chromosome;
this.fitness = 0;
this.game = createGame();
function createGame() {
let weights = convertChromosomeToWeights();
let game = new Game(weights);
return game;
function convertChromosomeToWeights() {
let weights = [];
for (let i = 0; i < nodeNrs.length - 1; i++) {
let lArr = [];
for (let j = 0; j < nodeNrs[i] + 1; j++) {
let nArr = [];
lArr.push(nArr);
}
weights.push(lArr);
}
chromosome.forEach((gene, geneIdx) => {
let lIdx = -1, minIdx, maxIdx = 0;
for (let i = 0; i < nodeNrs.length - 1; i++) {
let nr = 0;
for (let j = 0; j <= i; j++)
nr += (nodeNrs[j] + 1)*nodeNrs[j + 1];
if (geneIdx < nr) {
lIdx = i;
break;
}
maxIdx = nr;
minIdx = maxIdx;
}
minIdx = maxIdx;
let nIdx = -1;
for (let i = 0; i < nodeNrs[lIdx] + 1; i++) {
let nr = minIdx + nodeNrs[lIdx + 1];;
if (geneIdx < nr) {
nIdx = i;
break;
}
maxIdx = nr;
minIdx = maxIdx;
}
minIdx = maxIdx;
let wIdx = -1;
for (let i = 0; i < nodeNrs[lIdx + 1]; i++) {
let nr = minIdx + 1;
if (geneIdx < nr) {
wIdx = i;
break;
}
maxIdx = nr;
minIdx = maxIdx;
}
weights[lIdx][nIdx][wIdx] = gene;
});
return weights;
}
}
}
playGame() {
while (!this.game.lost) {
this.game.nextTurn();
}
return this.game.score;
}
}
class Game {
constructor(weights) {
let that = this;
this.chromosome = flattenArray(weights);
this.nn = new NeuralNetwork(weights);
this.turnNr = 0;
this.score = 0;
this.lost = false;
this.board = createBoard();
this.snake = new Snake();
setupSnake();
this.createFruit();
this.turns = [JSON.parse(JSON.stringify(this.board))];
function createBoard() {
let board = [];
for (let colNr = 0; colNr < nrOfCols; colNr++) {
board[colNr] = [];
for (let rowNr = 0; rowNr < nrOfRows; rowNr++) {
let field = new Field(colNr, rowNr);
board[colNr][rowNr] = field;
}
}
return board;
}
function setupSnake() {
for (let i = 0; i < 4; i++)
that.addToTail([floor(nrOfCols/2) - i, floor(nrOfRows/2)]);
that.length = that.snake.body.length;
}
function flattenArray(arr) {
let flattened = [];
flatten(arr);
return flattened;
function flatten(arr) {
arr.forEach(e => {
if (Array.isArray(e))
flatten(e);
else
flattened.push(e);
});
}
}
}
addToTail(pos) {
this.snake.body.push(pos);
this.board[pos[0]][pos[1]].setSnake(true);
}
nextTurn() {
let that = this;
let direction = findDirection();
this.moveSnake(direction);
this.turns.push(JSON.parse(JSON.stringify(this.board)));
this.turnNr++;
checkEat();
function findDirection() {
let inputValues = [];
for (let i = 0; i < 8; i++) {
let distances = that.snake.look(i, that.board);
inputValues.push(distances.distToFruit);
inputValues.push(distances.distToWall);
inputValues.push(distances.distToBody);
}
let output = that.nn.getOutput(inputValues);
let probability = -1;
let direction = -1;
output.forEach((v, vIdx) => {
if (v > probability) {
probability = v;
direction = vIdx;
}
});
return direction;
}
function checkEat() {
let head = that.snake.body[0];
let headField = that.board[head[0]][head[1]];
if (headField.isFruit) {
that.snake.eat();
that.score++;
headField.setFruit(false);
that.createFruit();
}
}
}
createFruit() {
let field;
do {
let colNr = floor(random()*nrOfCols);
let rowNr = floor(random()*nrOfRows);
field = this.board[colNr][rowNr];
} while(field.isSnake);
field.setFruit(true);
}
moveSnake(newDirection) {
let that = this;
let oldBody = JSON.parse(JSON.stringify(that.snake.body));
moveTail();
makeSnakeLonger();
moveHead();
function moveTail() {
for (let i = oldBody.length - 1; i > 0; i--)
that.snake.body[i] = oldBody[i - 1];
}
function moveHead() {
let newHeadPosition = findNewHeadPos();
if (
newHeadPosition[0] >= nrOfCols || newHeadPosition[0] < 0 ||
newHeadPosition[1] >= nrOfRows || newHeadPosition[1] < 0
) {
that.lose();
return;
}
let newHeadField = that.board[newHeadPosition[0]][newHeadPosition[1]];
if (newHeadField.isSnake) {
that.lose();
return;
}
addNewHeadPos(newHeadPosition);
}
function findNewHeadPos() {
if (newDirection == 0) { //up
return [oldBody[0][0], oldBody[0][1] - 1];
} else if (newDirection == 1) { //right
return [oldBody[0][0] + 1, oldBody[0][1]];
} else if (newDirection == 2) { //down
return [oldBody[0][0], oldBody[0][1] + 1];
} else if (newDirection == 3) { //left
return [oldBody[0][0] - 1, oldBody[0][1]];
}
}
function makeSnakeLonger() {
if (that.snake.length > that.snake.body.length) {
that.addToTail(oldBody[oldBody.length - 1]);
} else {
removeFromTail(oldBody[oldBody.length - 1]);
}
}
function removeFromTail(pos) {
that.board[pos[0]][pos[1]].setSnake(false);
}
function addNewHeadPos(pos) {
that.snake.body[0] = pos;
that.board[pos[0]][pos[1]].setSnake(true);
}
}
lose() {
this.lost = true;
}
}
class Field {
constructor(col, row) {
this.col = col;
this.row = row;
this.isFruit = false;
this.isSnake = false;
}
setFruit(bool) {
this.isFruit = bool;
}
setSnake(bool) {
this.isSnake = bool;
}
}
class Snake {
constructor() {
this.body = [];
this.length = 4;
}
eat() {
this.length++;
}
look(direction, board) {
let distances = {distToFruit: 0, distToWall: 0, distToBody: 0};
let xDiff = getXDiff(direction), yDiff = getYDiff(direction);
let pos = [this.body[0][0] + xDiff, this.body[0][1] + yDiff];
let dist = 1;
while (pos[0] > 0 && pos[0] < nrOfRows && pos[1] > 0 && pos[1] < nrOfCols) {
if (board[pos[0]][pos[1]].isFruit && distances.distToFruit == 0) distances.distToFruit = dist;
if (board[pos[0]][pos[1]].isSnake && distances.distToBody == 0) distances.distToBody = dist;
pos[0] += xDiff, pos[1] += yDiff;
dist++;
}
distances.distToWall = dist;
return distances;
function getXDiff(direction) {
if (direction == 5 || direction == 6 || direction == 7) return -1;
else if (direction == 1 || direction == 2 || direction == 3) return 1;
return 0;
}
function getYDiff(direction) {
if (direction == 7 || direction == 0 || direction == 1) return -1;
else if (direction == 3 || direction == 4 || direction == 5) return 1;
return 0;
}
}
}
class NeuralNetwork {
constructor(weights) {
this.layers = createLayers();
this.layers = addWeights(this.layers, weights);
function createLayers() {
let layers = [];
let nrOfNodesGlobal;
nodeNrs.forEach((nrOfNodes, lNr) => {
nrOfNodesGlobal = nrOfNodes;
layers[lNr] = [];
for (let i = 0; i < nrOfNodes; i++) {
let node = createNode(lNr);
layers[lNr][i] = node;
}
if (lNr != nodeNrs.length - 1)
layers[lNr].push(new Bias());
});
return layers;
function createNode(lNr) {
if (lNr == 0) return new InputLayerNode();
else if (lNr == nrOfNodesGlobal - 1) return new OutputLayerNode();
else return new HiddenLayerNode();
}
}
function addWeights(layers, weights) {
for (let lNr = 0; lNr < layers.length - 1; lNr++) {
let l = layers[lNr];
l.forEach((n1, nNr) => {
for (let n2Nr = 0; n2Nr < layers[lNr+1].length - 1; n2Nr++) { //not including bias of next layer
let n2 = layers[lNr+1][n2Nr];
let weight = weights[lNr][nNr][n2Nr];
let w = new Weight(n1, n2, weight);
n1.addWeight(w);
}
});
}
return layers;
}
}
getOutput(inputValues) {
let output = [];
this.layers[0].forEach((inputNeuron, nNr) => {
if (nNr != this.layers[0].length - 1)
inputNeuron.addToInput(inputValues[nNr]);
});
this.layers.forEach((l, lNr) => {
calcOutputs(l);
if (lNr != this.layers.length - 1) {
l.forEach(n => {
n.feedForward();
});
} else {
output = l.map(n => n.output);
}
});
return output;
function calcOutputs(layer) {
layer.forEach(n => n.output = n.activationFunction(n.summedInput, layer.map(N => N.summedInput)));
}
}
log() {
console.log(this.weights, this.nodes);
}
}
class Node {
constructor() {
this.weights = [];
this.summedInput = 0;
}
addWeight(w) {
this.weights.push(w);
}
addToInput(input) {
if (input == NaN)
console.log("A");
this.summedInput += input;
}
feedForward() {
this.weights.forEach((w, wNr) => {
let input = w.weight*this.output;
w.to.addToInput(input);
});
}
}
class Bias extends Node {
constructor() {
super();
this.output = 1;
}
activationFunction(x, allXs) {
return x;
}
}
class InputLayerNode extends Node {
constructor() {
super();
}
activationFunction(x, allXs) {
return x;
}
}
class HiddenLayerNode extends Node {
constructor() {
super();
}
activationFunction(x, allXs) {
return leakyReLU(x);
}
}
class OutputLayerNode extends Node {
constructor() {
super();
}
activationFunction(x, allXs) {
return softmax(x, allXs);
}
}
class Weight {
constructor(from, to, weight) {
this.from = from;
this.to = to;
this.weight = weight;
}
setWeight(newWeight) {
this.weight = weight;
}
}
function leakyReLU(x) {
if (x >= 0) return x;
else return 0.01*x;
}
function softmax(x, allXs) {
return Math.exp(x) / allXs.map(X => Math.exp(X)).reduce((a, b) => a+b);
}
<!DOCTYPE html>
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.8.0/p5.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.8.0/addons/p5.dom.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/0.8.0/addons/p5.sound.min.js"></script>
<link rel="stylesheet" type="text/css" href="style.css">
<meta charset="utf-8" />
</head>
<body>
<script src="sketch.js"></script>
</body>
</html>
It's not working that well but a few improvements should make it better...
If you have any suggestions for improvements of the code, please let me know!
I tried to fix it into steps as I said in comments,I hope I have no mistake :
let i = 0;
async function step(bestGameTurns, turn)
{
if (turn == bestGameTurns.length)
return;
let board = bestGameTurns[turn];
drawBoard(board);
let p = new Promise(resolve => setTimeout(() => step(bestGameTurns, turn+1), 500));
await p;
}
function drawBoard(board) {
//Draw the board using p5.js rect()'s
}
setInterval(async () => {
population.createNewGeneration();
console.log(i, population.avgFitness);
let bestGameTurns = population.bestIndividual.game.turns; //Array of boards
step(bestGameTurns, 0);
i++;
}, 1);

How to change voice pitch without noise using web audio javascript?

How do I change voice pitch without noise using web audio in JavaScript?
I tried the code below.
I got my voice with noisy and bit echo mixed.
I want a voice module which is like noiseless.
var pitchShifter = (function () {
var context, audioContext, pitchShifterProcessor, spectrumAudioAnalyser,
sonogramAudioAnalyser;
var validGranSizes = [256, 512, 1024, 2048, 4096, 8192],
grainSize = validGranSizes[1],
pitchRatio = 2.0,
overlapRatio = 0.50;
var filter, compressor;
hannWindow = function (length) {
var window = new Float32Array(length);
for (var i = 0; i < length; i++) {
window[i] = 0.5 * (1 - Math.cos(2 * Math.PI * i / (length - 1)));
}
return window;
};
linearInterpolation = function (a, b, t) {
return a + (b - a) * t;
};
initProcessor = function () {
if (navigator.getUserMedia) {
navigator.getUserMedia({
audio: true
},
function (stream) {
var convolver = audioContext.createConvolver();
compressor = audioContext.createDynamicsCompressor();
compressor.threshold.value = -50;
compressor.knee.value = 40;
compressor.ratio.value = 12;
compressor.reduction.value = -20;
compressor.attack.value = 0;
compressor.release.value = 0.25;
filter = audioContext.createBiquadFilter();
filter.Q.value = 8.30;
filter.frequency.value = 355;
filter.gain.value = 3.0;
filter.type = 'bandpass';
filter.connect(compressor);
compressor.connect(audioContext.destination);
filter.connect(audioContext.destination);
var microphone_stream = audioContext.createMediaStreamSource(
stream);
microphone_stream.connect(filter);
var source = audioContext.createBufferSource();
microphone_stream.connect(pitchShifterProcessor);
},
function (e) {
alert('Error capturing audio.');
}
);
}
if (pitchShifterProcessor) {
pitchShifterProcessor.disconnect();
}
if (audioContext.createScriptProcessor) {
pitchShifterProcessor = audioContext.createScriptProcessor(
grainSize, 1, 1);
} else if (audioContext.createJavaScriptNode) {
pitchShifterProcessor = audioContext.createJavaScriptNode(grainSize,
1, 1);
}
pitchShifterProcessor.buffer = new Float32Array(grainSize * 2);
pitchShifterProcessor.grainWindow = hannWindow(grainSize);
pitchShifterProcessor.onaudioprocess = function (event) {
var inputData = event.inputBuffer.getChannelData(0);
var outputData = event.outputBuffer.getChannelData(0);
for (i = 0; i < inputData.length; i++) {
// Apply the window to the input buffer
inputData[i] *= this.grainWindow[i];
// Shift half of the buffer
this.buffer[i] = this.buffer[i + grainSize];
// Empty the buffer tail
this.buffer[i + grainSize] = 0.0;
}
// Calculate the pitch shifted grain re-sampling and looping the input
var grainData = new Float32Array(grainSize * 2);
for (var i = 0, j = 0.0; i < grainSize; i++, j += pitchRatio) {
var index = Math.floor(j) % grainSize;
var a = inputData[index];
var b = inputData[(index + 1) % grainSize];
grainData[i] += linearInterpolation(a, b, j % 1.0) * this.grainWindow[
i];
}
// Copy the grain multiple times overlapping it
for (i = 0; i < grainSize; i += Math.round(grainSize * (1 -
overlapRatio))) {
for (j = 0; j <= grainSize; j++) {
this.buffer[i + j] += grainData[j];
}
}
// Output the first half of the buffer
for (i = 0; i < grainSize; i++) {
outputData[i] = this.buffer[i];
}
};
pitchShifterProcessor.connect(audioContext.destination);
};
return {
init: function () {
if ('AudioContext' in window) {
audioContext = new AudioContext();
} else {
alert('Your browser does not support the Web Audio API');
return;
}
initProcessor();
}
}
}());
window.requestAnimFrame = (function () {
return (window.requestAnimationFrame ||
window.webkitRequestAnimationFrame ||
window.mozRequestAnimationFrame ||
function (callback) {
window.setTimeout(callback, 1000 / 60);
});
})();
window.addEventListener("DOMContentLoaded", pitchShifter.init, true);
You can use the PitchShifter in SoundTouchJS for this. I currently use this in my CDGPlayer for changing the 'key' for a user.

'Arc is not a constructor' error

I am getting an error saying Arc is not a constructor. I have checked my code and can't understand why.
/*
Exception: Arc is not a constructor
RouteFinder/this.getPairs#Scratchpad/8:72:6
#Scratchpad/8:5:3
*/
The other answers for this error suggest that this because Arc has previously been defined, but I cant find anywhere that it is. This is a big chunk of code, so scroll down for the error - it is commented where it is
var lats = [ 51.445371, 51.45526, 51.426765, 51.441304 ]
var lons = [ -0.077581, -0.113248, -0.13091, -0.060596 ]
var finder = new RouteFinder(lats, lons);
finder.getPairs();
var nodeList = ''
for(var count = 1; count < lats.length; count++) {
nodeList += count;
}
finder.permutation("", nodeList);
finder.removeDuplicateRoutes();
var shortestRoute = finder.getShortestRoute();
var finalRouteOrder = [];
shortestRoute.nodeList.forEach(function(node) {
finalRouteOrder.push(+node);
});
alert(finalRouteOrder);
var Route = function() {
this.totalWeight = 0;
this.nodeList = [];
};
var Node = function() {
this.lat = 0;
this.lon = 0;
this.number = 0;
};
var Arc = function() {
this.startNode = new Node();
this.endNode = new Node();
this.weight = 0;
};
function reverseString(initialString) {
var reversed = '';
for(var count = initialString.length -1; count > -1; count--) {
reversed += initialString.charAt(count);
}
return reversed;
}
function calcDistance(lat1, lng1, lat2, lng2) {
var earthRadius = 6371;
var dLat = (lat2 - lat1)/180*Math.PI;
var dLng = (lng2 - lng1)/180*Math.PI;
var a = Math.sin(dLat/2) * Math.sin(dLat/2) + Math.cos(lat1/180*Math.PI) * Math.cos(lat2/180*Math.PI) * Math.sin(dLng/2) * Math.sin(dLng/2);
var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));
var dist = earthRadius * c;
return dist;
}
function RouteFinder(lats, lons) {
this.latArray = lats;
this.lonArray = lons;
this.orders = [];
this.arcArray = [];
this.routes = [];
this.shortestRoute;
this.numOfPoints = lats.length - 1;
this.shortestRouteLength = -1;
this.getPairs = function() {
var timesLooped = 0;
for(var count1 = 0; count1 < this.numOfPoints; count1++) {
for(var count2 = 0; count2 < (this.numOfPoints - count1); count2++) {
//I get an error here for new Arc()
this.arcArray.push(new Arc());
this.arcArray[timesLooped].startNode = {
number: count1,
};
this.arcArray[timesLooped].endNode = {
number: this.numOfPoints - count2,
};
this.arcArray[timesLooped].weight = calcDistance(this.latArray[count1], this.lonArray[count1], this.latArray[this.numOfPoints - count2], this.lonArray[this.numOfPoints - count2]);
timesLooped++;
}
}
};
this.permutation = function(prefix, str) {
var n = str.length;
if(n === 0) this.orders.push('0' + prefix + '0');
else {
for(var i = 0; i <n; i++) {
this.permutation(prefix + str.charAt(i), str.substring(0, i) + str.substring(i + 1, n));
}
}
};
this.removeDuplicateRoutes = function() {
var numberOfPermutations = this.orders.length -1;
var temp;
var size;
var toRemove = [];
for(var count1 = 0; count1 < numberOfPermutations; count1++) {
for(var count2 = 0; count2 < (numberOfPermutations - count1); count2++) {
if(this.orders[count1] == reverseString(this.orders[numberOfPermutations - count2])) {
toRemove.push(count1);
}
}
}
size = toRemove.length;
for(var count3 = 0; count3 < size; count3++) {
temp = toRemove[size - 1- count3];
var index = this.orders.indexOf(temp);
if(index > -1) {
temp.splice(index, 1);
}
}
};
this.getShortestRoute = function() {
var routesMade = 0;
for(var routeNumber = 0; routeNumber < (this.orders.length -1); routeNumber++) {
this.routes.push(new Route());
this.routes[routesMade].totalWeight = 0;
for(var count1 = 0; count1 < this.orders[routeNumber].length; count1++) {
this.routes[routesMade].nodeList.push(+this.orders[routeNumber].charAt(count1));
}
for(var count2 = 1; count2 < this.orders[routeNumber].length; count2++) {
for(var count3 = 0; count3 < this.arcArray.length; count3++) {
if(this.routes[routesMade].nodeList[count2 - 1] === this.arcArray[count3].startNode.number) {
if(this.routes[routesMade].nodeList[count2] === this.arcArray[count3].endNode.number) {
this.routes[routesMade].totalWeight += this.arcArray[count3].weight;
}
} else if (this.routes[routesMade].nodeList[count2 - 1] === this.arcArray[count3].endNode.number) {
if(this.routes[routesMade].nodeList[count2] === this.arcArray[count3].startNode.number) {
this.routes[routesMade].totalWeight += this.arcArray[count3].weight;
}
}
}
}
if(!this.shortestRoute) {
this.shortestRoute = this.routes[routesMade];
} else if(this.routes[routesMade].totalWeight < this.shortestRoute.totalWeight) {
this.shortestRoute = this.routes[routesMade];
}
routesMade++;
}
return this.shortestRoute;
};
}
I'm tearing my hair out trying to work out the problem. Help is greatly appreciated, thanks!
This
var finder = new RouteFinder(lats, lons);
gets executed before Arc variable gets its value (function). Thus at the moment of RouteFinder call that Arc variable is undefined and cannot be used as a constructor.
Update: it is about finder.getPairs(); actually where you try to call that new Arc();
You need to have Route, Node, and Arc like this:
function Route() {
this.totalWeight = 0;
this.nodeList = [];
}
function Node() {
this.lat = 0;
this.lon = 0;
this.number = 0;
}
function Arc() {
this.startNode = new Node();
this.endNode = new Node();
this.weight = 0;
}
The issue is that Arc is not yet defined. Either move your function expression assignment (var Arc = function ...) to the top of your script or convert them to function definition statements like this
function Arc() {
this.startNode = new Node();
this.endNode = new Node();
this.weight = 0;
}
Statements are hoisted and their order does not matter, but assignment to var happens in the order they appear in the file (the declaration is hoisted, but the assignment isn't).
Same goes for your Route and Node functions.
Read more about var hoisting on MDN.

Categories

Resources