I wanted to make a crosshair grid (every 10px).
I had many problems with it. Can it be done in easier way than 3x For loop?
http://jsfiddle.net/TnnRp/1/
var canvas = document.getElementById('grid');
var context = canvas.getContext('2d');
// grid
var width = canvas.width;
var height = canvas.height;
var p = 10;
var h = 10;
for (var i = 10; i <= width - 5; i += 10) {
for (var e = 10; e <= height - 5; e += 10) {
context.moveTo(h + 0.5, e - 1);
context.lineTo(h + 0.5, e + 2);
}
h += 10;
for (var f = 10; f <= width - 5; f += 10) {
context.moveTo(f - 1, p + 0.5);
context.lineTo(f + 2, p + 0.5);
}
p += 10;
}
context.stroke();
You can always reduce it to two loops and there are two ways with that as well. But before: I agree with markE - your code is just fine as it is.
My version here is to reduce loops and show one way to optimize its speed:
//pre-translate to force anti-alias
context.translate(0.5, 0.5);
Now we draw just one single cross-hair:
var cc = 1; //cross-hair size
context.moveTo(p / 2, h / 2 - cc);
context.lineTo(p / 2, h / 2 + cc);
context.moveTo(p / 2 - cc, h / 2);
context.lineTo(p / 2 + cc, h / 2);
context.stroke();
And now we "blit" our hearts out, first horizontally:
//replicate drawn cross-hair = faast.
for (i = 0; i < width - p; i += p) {
if (i > 0) p *= 2;
context.drawImage(canvas, 0, 0, p, h, p, 0, p,h);
}
And now we replicate that line vertically:
for(i = 0; i < height; i+=h) {
if (i > 0) h *= 2;
context.drawImage(canvas, 0, 0, width, h, 0, h, width, h);
}
Notice that we are not just copying one line, but when we have draw one replicate, we duplicate those two, then we skip four and copy the four etc.
This method is super-fast and is the way the browser (or rather the system function the browser uses) also replicate patterns (but with internal compiled code). You could also have used the first cross-hair to set a pattern on an off-screen canvas and filled the canvas with that which could be a notch faster.
Updated fiddle
With Ken's help.
Working jsFiddle
var canvas = document.getElementById('grid');
var context = canvas.getContext('2d');
var width = canvas.width,
height = canvas.height;
context.moveTo(10.5, 10 - 1);
context.lineTo(10.5, 10 + 2);
context.moveTo(10.5 -1, 10.5);
context.lineTo(10.5 +2, 10.5);
context.stroke();
var h=10,
p=10;
for (i = 0; i < width; i += p) {
p *= 2;
context.drawImage(canvas, p, 0);
}
for(i = 0; i < height; i+=h) {
h *= 2;
context.drawImage(canvas, 0, h);
}
Related
I have some js code that i copied from a youtube tutorial and adapted for my own project to fill the header, the code works as intended and it works when the viewport is smaller than around 1200px, however when i put firefox into full screen the animation does not play & the image is being stretched, not retaining its aspect ratio. I do have a 10/15 year old gpu so i'm guessing thats half my issue. The script uses a png image file of 100x100 pixels, which it then converts into particle color values. Can this be optimized or made to run better. it seems that the wider the viewport the longer the animation takes to kick in, until it finally stops & doesn't work. full screen= [2550x1440]...
The original tutorial is here: Pure Javascript Particle Animations & to convert an image to base64 encoding is here: Image to base64.
HTML:
<html>
<body>
<canvas id="CanV"></canvas>
</body>
</html>
CSS:
#Canv{
position:absolute;
top:-1px;left:-2px;
z-index:67;
width:100vw !important;
max-height: 264px !important;
min-height: 245px !important;
filter:blur(2.27px);
}
Javascript:
window.addEventListener("DOMContentLoaded",(e)=>{
const canv = document.getElementById('Canv');
const ctx = canv.getContext('2d');
canv.width = window.innerWidth;
canv.height = window.innerHeight/ 3.85;
let particleArray = [];
let mouse = {
x: null,
y: null,
radius: 74
}
window.addEventListener('mousemove',(e)=>{
mouse.x = event.x + canv.clientLeft/2;
mouse.y = event.y + canv.clientTop/1.2;
});
function drawImage(){
let imageWidth = png.width; //These to values crop if / sum no.
let imageHeight = png.height;
const data = ctx.getImageData(0, 0, imageWidth, imageHeight); //Gets img data for particles
ctx.clearRect(0,0, canv.width, canv.height); // Clears the original img as its now being stored in the variable data.
class Particle {
constructor(x, y, color, size){
this.x = x + canv.width/2 - png.width * 174, //Chngd Ok:74
this.y = y + canv.height/2 - png.height * 32, //Ch<2 Ok:16
this.color = color,
this.size = 2.28, // Particle Size > Changed this value. from 2 i think!.
this.baseX = x + canv.width/1.8 - png.width * 3.1, //Chngd ok:5.1
this.baseY = y + canv.height/1.2 - png.height * 2.8,
this.density = (Math.random() * 14) + 2;
}
draw() {
ctx.beginPath(); // this creates the sort of force field around the mouse pointer.
ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
ctx.closePath();
ctx.fill();
}
update() {
ctx.fillStyle = this.color;
// Collision detection
let dx = mouse.x - this.x;
let dy = mouse.y - this.y;
let distance = Math.sqrt(dx * dx + dy * dy);
let forceDirectionX = dx / distance;
let forceDirectionY = dy / distance;
// Max distance, past that the force will be 0
const maxDistance = 144;
let force = (maxDistance - distance) / maxDistance;
if (force < 0) force = 0;
let directionX = (forceDirectionX * force * this.density * 0.6);
let directionY = (forceDirectionY * force * this.density * 8.7); //Ch.this
if (distance < mouse.radius + this.size) {
this.x -= directionX;
this.y -= directionY;
} else {
if (this.x !== this.baseX){
let dx = this.x - this.baseX;
this.x -= dx/54; // Speed Particles return to ori
} if (this.y !== this.baseY){
let dy = this.y - this.baseY;
this.y -= dy/17; // Speed Particles return to ori
}
}
this.draw();
}
}
function init(){
particleArray = [];
for(let y = 0, y2 = data.height; y<y2; y++){
for(let x =0, x2 = data.width; x<x2; x++){
if(data.data[(y * 4 * data.width) + (x*4) + 3] > 128){
let positionX = x + 25;
let positionY = y + 45; // Co-ords on Canv
let color = "rgb(" + data.data[(y * 4 * data.width) + (x * 4)] + "," +
data.data[(y * 4 * data.width) + (x * 4) + 1] + "," +
data.data[(y * 4 * data.width) + (x * 4) + 2] + ")";
particleArray.push(new Particle(positionX * 2, positionY * 2, color));
} /* These number effect png size but its to high */
}
}
}
function animate(){
requestAnimationFrame(animate);
ctx.fillStyle = 'rgba(0,0,0,.07)';
ctx.fillRect(0,0, innerWidth, innerHeight);
for(let i =0; i < particleArray.length; i++){
particleArray[i].update();
}
}
init();
animate();
}
const png = new Image();
png.src = "RemovedBase64StringToBig";
window.addEventListener('load',(e)=>{
console.log('page has loaded');
ctx.drawImage(png, 0, 0);
drawImage();
})
});
have managed to shorten it by about 100 characters by shortening all the variable names > PartArr, ImgWidth, DirX, DirY etc, but apart from minifying it is there any other ways to optimize this? and fix the full screen issue?
I tried to add it to a JSfiddle, So I could link to it here, but I don't think this is allowing the base64 string, its not loading anything anyway. The canvas loads, with the bg just no image or animation.
I've found out what part of the problem is with full screen, the cursor position is actually about 300px to the right of where the actual cursor is, but I still have no idea how to fix this or fix the major lagging performance issues. Guessing its alot to compute even just with 100x100.
One option I can think of to make this perform better would be to move it & its calculations, into its own dedicated web worker & convert the image to Webp but i'm still not very clued up about web workers or how to implement them properly.. Will play around & see what I can put together using All the suggestions in the comments & answers.
I'm adding these links only for future reference, when I come back to this later on:
MDN Canvas Optimizations
Html5Rocks Canvas Performance
Stack Question. Canv ~ Opti
Creating A blob From A Base 64 String in Js
Secondary bonus Question,
is there a maximum file size or max px dimensions,
that can be base64 encoded? only asking this as someone on facebook has recently sent me a question regarding another project with multiple base64 encoded images and I was unsure of the answer..
Shortening your code doesn't help much with performance. I'm using Firefox. To check what's taking your time up the most during browser runs in Firefox, you can read Performance from MDN.
The problem with your solution is your fps is dropping hard. This happens because you are painting each Particle every frame. Imagine how laggy it will be when there are thousands of Particles that you need to paint every frame. This paint call is called from your function Particle.draw (which calls the following: ctx.beginPath, ctx.arc, and ctx.closePath). This function, as said, will be called because of Particle.update for each frame. This is an extremely expensive operation. To improve your fps drastically, you can try to not draw each Particle individually, but rather gather all the Particles' ImageData wholly then placing it in the canvas only once in rAQ (thus only one paint happens). This ImageData is an object that contains the rgba for each pixel on canvas.
In my solution below, I did the following:
For each Particle that is dirty (has been updated), modify the ImageData that is to be put in the canvas
Then, after the whole ImageData has been constructed for one frame, only draw once to the canvas using putImageData. This saves a lot of the time needed to call your function Particle.update to draw each Particle individually.
One other obvious solution is to increase the size of Particles so that there are fewer Particles' pixels that are needed to be processed (to alter ImageData). I've also tweaked the code a little so that the image will always be at least 100px high; you can tweak the maths so that the image will always maintain your aspect ratio and respond to window size.
Here's a working example:
const canvas = document.querySelector('#canvas1')
const ctx = canvas.getContext('2d')
canvas.width = window.innerWidth
canvas.height = window.innerHeight
let canvasWidth = canvas.width
let canvasHeight = canvas.height
let particleArray = []
let imageData = []
// mouse
let mouse = {
x: null,
y: null,
radius: 40
}
window.addEventListener('mousemove', e => {
mouse.x = event.x
mouse.y = event.y
})
function drawImage(width, height) {
let imageWidth = width
let imageHeight = height
const data = ctx.getImageData(0, 0, imageWidth, imageHeight)
class Particle {
constructor(x, y, color, size = 2) {
this.x = Math.round(x + canvas.width / 2 - imageWidth * 2)
this.y = Math.round(y + canvas.height / 2 - imageHeight * 2)
this.color = color
this.size = size
// Records base and previous positions to repaint the canvas to its original background color
this.baseX = Math.round(x + canvas.width / 2 - imageWidth * 2)
this.baseY = Math.round(y + canvas.height / 2 - imageHeight * 2)
this.previousX = null
this.previousY = null
this.density = (Math.random() * 100) + 2
}
stringifyColor() {
return `rgba(${this.color.r}, ${this.color.g}, ${this.color.b}, ${this.color.a}`
}
update() {
ctx.fillStyle = this.stringifyColor()
// collision detection
let dx = mouse.x - this.x
let dy = mouse.y - this.y
let distance = Math.sqrt(dx * dx + dy * dy)
let forceDirectionX = dx / distance
let forceDirectionY = dy / distance
// max distance, past that the force will be 0
const maxDistance = 100
let force = (maxDistance - distance) / maxDistance
if (force < 0) force = 0
let directionX = (forceDirectionX * force * this.density)
let directionY = (forceDirectionY * force * this.density)
this.previousX = this.x
this.previousY = this.y
if (distance < mouse.radius + this.size) {
this.x -= directionX
this.y -= directionY
} else {
// Rounded to one decimal number to as x and y cannot be the same (whole decimal-less integer)
// as baseX and baseY by decreasing using a random number / 20
if (Math.round(this.x) !== this.baseX) {
let dx = this.x - this.baseX
this.x -= dx / 20
}
if (Math.round(this.y) !== this.baseY) {
let dy = this.y - this.baseY
this.y -= dy / 20
}
}
}
}
function createParticle(x, y, size) {
if (data.data[(y * 4 * data.width) + (x * 4) + 3] > 128) {
let positionX = x
let positionY = y
let offset = (y * 4 * data.width) + (x * 4)
let color = {
r: data.data[offset],
g: data.data[offset + 1],
b: data.data[offset + 2],
a: data.data[offset + 3]
}
return new Particle(positionX * 4, positionY * 4, color, size)
}
}
// Instead of drawing each Particle one by one, construct an ImageData that can be
// painted into the canvas at once using putImageData()
function updateImageDataWith(particle) {
let x = particle.x
let y = particle.y
let prevX = particle.previousX
let prevY = particle.previousY
let size = particle.size
if (prevX || prevY) {
let prevMinY = Math.round(prevY - size)
let prevMaxY = Math.round(prevY + size)
let prevMinX = Math.round(prevX - size)
let prevMaxX = Math.round(prevX + size)
for (let y = prevMinY; y < prevMaxY; y++){
for (let x = prevMinX; x < prevMaxX; x++) {
if (y < 0 || y > canvasHeight) continue
else if (x < 0 || x > canvasWidth) continue
else {
let offset = y * 4 * canvasWidth + x * 4
imageData.data[offset] = 255
imageData.data[offset + 1] = 255
imageData.data[offset + 2] = 255
imageData.data[offset + 3] = 255
}
}
}
}
let minY = Math.round(y - size)
let maxY = Math.round(y + size)
let minX = Math.round(x - size)
let maxX = Math.round(x + size)
for (let y = minY; y < maxY; y++){
for (let x = minX; x < maxX; x++) {
if (y < 0 || y > canvasHeight) continue
else if (x < 0 || x > canvasWidth) continue
else {
let offset = y * 4 * canvasWidth + x * 4
imageData.data[offset] = particle.color.r
imageData.data[offset + 1] = particle.color.g
imageData.data[offset + 2] = particle.color.b
imageData.data[offset + 3] = particle.color.a
}
}
}
}
function init() {
particleArray = []
imageData = ctx.createImageData(canvasWidth, canvasHeight)
// Initializing imageData to a blank white "page"
for (let data = 1; data <= canvasWidth * canvasHeight * 4; data++) {
imageData.data[data - 1] = data % 4 === 0 ? 255 : 255
}
const size = 2 // Min size is 2
const step = Math.floor(size / 2)
for (let y = 0, y2 = data.height; y < y2; y += step) {
for (let x = 0, x2 = data.width; x < x2; x += step) {
// If particle's alpha value is too low, don't record it
if (data.data[(y * 4 * data.width) + (x * 4) + 3] > 128) {
let newParticle = createParticle(x, y, size)
particleArray.push(newParticle)
updateImageDataWith(newParticle)
}
}
}
}
function animate() {
requestAnimationFrame(animate)
for (let i = 0; i < particleArray.length; i++) {
let imageDataCanUpdateKey = `${Math.round(particleArray[i].x)}${Math.round(particleArray[i].y)}`
particleArray[i].update()
updateImageDataWith(particleArray[i])
}
ctx.putImageData(imageData, 0, 0)
}
init()
animate()
window.addEventListener('resize', e => {
canvas.width = innerWidth
canvas.height = innerHeight
canvasWidth = canvas.width
canvasHeight = canvas.height
init()
})
}
const png = new Image()
png.src = " 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"
window.addEventListener('load', e => {
// Ensuring height of image is always 100px
let pngWidth = png.width
let pngHeight = png.height
let divisor = pngHeight / 100
let finalWidth = pngWidth / divisor
let finalHeight = pngHeight / divisor
ctx.drawImage(png, 0, 0, finalWidth, finalHeight)
drawImage(finalWidth, finalHeight)
})
#canvas1 {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
}
<canvas id="canvas1"></canvas>
UPDATE 2: I have managed to optimize further. Now it can render FullHD image (1920x1080) without downgrading quality (on my PC it runs at about 20fps).
Take a look this code on JSFiddle (you can also tweak values).
Thanks also goes to #Richard (check out his answer) for idea to put all data in ImageData and make a single draw call. Code on JSFiddle is combination of his and mine optimizations (code below is my old code).
EDIT: Updated JSFiddle link, optimized more by spreading work of stationary particles across multiple frames (for given settings it improves performance for about 10%).
Regarding optimization, you won't achieve much by minifying code (in this case) because code that eats up CPU is runtime intensive (executes each frame). Minification is good for optimizing loading, not runtime execution.
Most of time is spent on drawing, and after some investigation I have found few performance optimizations but these are not enough to make big difference (eg. ctx.closePath() can be omitted and this saves some milliseconds).
What you can do is to either reduce resolution of image or skip some pixels in image in order to reduce work.
Additionally you could spread work across multiple frames to improve frame rate (but keep in mind if you spread it on more than few frames you might start seeing flickering).
Fullscreen issue can be solved by simply re-initializing everything on resize event.
Below is code with mentioned optimizations and fullscreen fix. Sample image is 375x375 pixels.
UPDATE: I played a little with code and I managed to improve further performance by optimizing calls (things I mentioned below code snippet). Code is updated with these changes.
var canv
var ctx
//performance critical parameters
const pixelStep = 2 //default 1; increase for images of higher resolution
const maxParticlesToProcessInOneFrame = 20000
//additional performance oriented paramteres
// Max distance, past that the force will be 0
const maxDistance = 144
const mouseRadius = 74
//customization parameters
const ctxFillStyle = 'rgba(0,0,0,.07)'
const speedOfActivatingParticle = 1
const speedOfRestoringParticle = 0.1
const png = new Image();
const mouse = {
x: null,
y: null
}
window.addEventListener('mousemove', (e) => {
mouse.x = event.x + canv.clientLeft;
mouse.y = event.y + canv.clientTop;
})
class Particle {
constructor(x, y, size) {
this.x = x
this.y = y
this.size = pixelStep
this.baseX = x
this.baseY = y
this.density = (Math.random() * 14) + 2
}
draw() {
//ctx.beginPath(); // this creates the sort of force field around the mouse pointer.
//ctx.arc(this.x, this.y, this.size, 0, Math.PI * 2);
ctx.rect(this.x, this.y, this.size * 2, this.size * 2)
//ctx.closePath();
}
update() {
// Collision detection
let dx = mouse.x - this.x;
let dy = mouse.y - this.y;
let distance = Math.sqrt(dx * dx + dy * dy);
if (distance < mouseRadius + this.size) {
let forceDirectionX = dx / distance;
let forceDirectionY = dy / distance;
let force = (maxDistance - distance) / maxDistance;
if (force < 0)
force = 0;
const forceTimesDensity = force * this.density * speedOfActivatingParticle
let directionX = (forceDirectionX * forceTimesDensity);
let directionY = (forceDirectionY * forceTimesDensity); //Ch.this
this.x -= directionX;
this.y -= directionY;
} else {
if (this.x !== this.baseX) {
let dx = this.x - this.baseX;
this.x -= dx * speedOfRestoringParticle; // Speed Particles return to ori
}
if (this.y !== this.baseY) {
let dy = this.y - this.baseY;
this.y -= dy * speedOfRestoringParticle; // Speed Particles return to ori
}
}
this.draw();
}
}
window.addEventListener('resize', initializeCanvas)
window.addEventListener("load", initializeCanvas, {
once: true
})
let animationFrame = null
function initializeCanvas(e) {
cancelAnimationFrame(animationFrame)
canv = document.getElementById('Canv');
ctx = canv.getContext('2d');
canv.width = window.innerWidth;
canv.height = window.innerHeight;
let particles = {}
function drawImage() {
let imageWidth = png.width; //These to values crop if / sum no.
let imageHeight = png.height;
const data = ctx.getImageData(0, 0, imageWidth, imageHeight); //Gets img data for particles
ctx.clearRect(0, 0, canv.width, canv.height); // Clears the original img as its now being stored in the variable data.
function init() {
particles = {}
for (let y = 0, y2 = data.height; y < y2; y += pixelStep) {
for (let x = 0, x2 = data.width; x < x2; x += pixelStep) {
if (data.data[(y * 4 * data.width) + (x * 4) + 3] > 128) {
let positionX = x
let positionY = y
let color = "rgb(" + data.data[(y * 4 * data.width) + (x * 4)] + "," +
data.data[(y * 4 * data.width) + (x * 4) + 1] + "," +
data.data[(y * 4 * data.width) + (x * 4) + 2] + ")";
let particlesArray = particles[color]
if (!particlesArray)
particlesArray = particles[color] = []
particlesArray.push(new Particle(positionX * 2, positionY * 2))
} /* These number effect png size but its to high */
}
}
}
let particlesProcessed = 0
let animateGenerator = animate()
function* animate() {
particlesProcessed = 0
ctx.fillStyle = ctxFillStyle;
ctx.fillRect(0, 0, innerWidth, innerHeight);
let colors = Object.keys(particles)
for (let j = 0; j < colors.length; j++) {
let color = colors[j]
ctx.fillStyle = color
let particlesArray = particles[color]
ctx.beginPath()
for (let i = 0; i < particlesArray.length; i++) {
particlesArray[i].update()
if (++particlesProcessed > maxParticlesToProcessInOneFrame) {
particlesProcessed = 0
ctx.fill()
yield
ctx.beginPath()
}
}
ctx.fill()
}
}
init();
function animateFrame() {
animationFrame = requestAnimationFrame(() => {
if (animateGenerator.next().done) {
animateGenerator = animate()
}
animateFrame()
})
}
animateFrame()
}
console.log('page has loaded');
ctx.drawImage(png, 0, 0, png.width, png.height);
drawImage();
}
png.src = 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";
body {
margin: 0;
padding: 0;
}
#Canv {
width: 100vw;
height: 100vh;
filter: blur(1.5px);
}
<canvas id="Canv"></canvas>
If you still need to optimize, you could do some optimization regarding ctx.beginPath(), ctx.fill() and ctx.rect() calls. For example, try to combine sibling pixels (pixels that are next to each other) and render them all in one call. Furthermore, you could merge similar colors in single color, but downside is that image will loose quality (depending on how much colors are merged).
Also (if this is option) you might want to set fixed canvas size rather than dynamically sized.
Disclosure: On my PC given code works nicely, but on others it might still have performance issues. For that reason try to play with pixelStep and maxParticlesToProcessInOneFrame variable values.
There is something I need to build, but my math ability is not up to par. What I am looking to build is something like this demo, but I need it to be a hybrid of a circle and polygon instead of a line, so to speak. The black line should be dynamic and randomly generated that basically acts as a border on the page.
Currently, I am dissecting this answer with the aim of hopefully being able to transpose it into this, but I am having massive doubts that I will be able to figure this out.
Any idea how to do this or can anybody explain the mathematics?
Below are my notes about the code from the answer I linked above.
var
cw = cvs.width = window.innerWidth,
ch = cvs.height = window.innerHeight,
cx = cw / 2,
cy = ch / 2,
xs = Array(),
ys = Array(),
npts = 20,
amplitude = 87, // can be val from 1 to 100
frequency = -2, // can be val from -10 to 1 in steps of 0.1
ctx.lineWidth = 4
// creates array of coordinates that
// divides page into regular portions
// creates array of weights
for (var i = 0; i < npts; i++) {
xs[i] = (cw/npts)*i
ys[i] = 2.0*(Math.random()-0.5)*amplitude
}
function Draw() {
ctx.clearRect(0, 0, cw, ch);
ctx.beginPath();
for (let x = 0; x < cw; x++) {
y = 0.0
wsum = 0.0
for (let i = -5; i <= 5; i++) {
xx = x; // 0 / 1 / 2 / to value of screen width
// creates sequential sets from [-5 to 5] to [15 to 25]
ii = Math.round(x/xs[1]) + i
// `xx` is a sliding range with the total value equal to client width
// keeps `ii` within range of 0 to 20
if (ii < 0) {
xx += cw
ii += npts
}
if (ii >= npts){
xx -= cw
ii -= npts
}
// selects eleven sequential array items
// which are portions of the screen width and height
// to create staggered inclines in increments of those portions
w = Math.abs(xs[ii] - xx)
// creates irregular arcs
// based on the inclining values
w = Math.pow(w, frequency)
// also creates irregular arcs therefrom
y += w*ys[ii];
// creates sets of inclining values
wsum += w;
}
// provides a relative position or weight
// for each y-coordinate in the total path
y /= wsum;
//y = Math.sin(x * frequency) * amplitude;
ctx.lineTo(x, y+cy);
}
ctx.stroke();
}
Draw();
This is my answer. Please read the comments in the code. I hope this is what you need.
// initiate the canvas
const canvas = document.querySelector("canvas");
const ctx = canvas.getContext("2d");
let cw = (canvas.width = 600),
cx = cw / 2;
let ch = (canvas.height = 400),
cy = ch / 2;
ctx.fillStyle = "white"
// define the corners of an rectangle
let corners = [[100, 100], [500, 100], [500, 300], [100, 300]];
let amplitud = 20;// oscilation amplitude
let speed = 0.01;// the speed of the oscilation
let points = []; // an array of points to draw the curve
class Point {
constructor(x, y, hv) {
// the point is oscilating around this point (cx,cy)
this.cx = x;
this.cy = y;
// the current angle of oscilation
this.a = Math.random() * 2 * Math.PI;
this.hv = hv;// a variable to know if the oscilation is horizontal or vertical
this.update();
}
// a function to update the value of the angle
update() {
this.a += speed;
if (this.hv == 0) {
this.x = this.cx;
this.y = this.cy + amplitud * Math.cos(this.a);
} else {
this.x = this.cx + amplitud * Math.cos(this.a);
this.y = this.cy;
}
}
}
// a function to divide a line that goes from a to b in n segments
// I'm using the resulting points to create a new point object and push this new point into the points array
function divide(n, a, b) {
for (var i = 0; i <= n; i++) {
let p = {
x: (b[0] - a[0]) * i / n + a[0],
y: (b[1] - a[1]) * i / n + a[1],
hv: b[1] - a[1]
};
points.push(new Point(p.x, p.y, p.hv));
}
}
divide(10, corners[0], corners[1]);points.pop();
divide(5, corners[1], corners[2]);points.pop();
divide(10, corners[2], corners[3]);points.pop();
divide(5, corners[3], corners[0]);points.pop();
// this is a function that takes an array of points and draw a curved line through those points
function drawCurves() {
//find the first midpoint and move to it
let p = {};
p.x = (points[points.length - 1].x + points[0].x) / 2;
p.y = (points[points.length - 1].y + points[0].y) / 2;
ctx.beginPath();
ctx.moveTo(p.x, p.y);
//curve through the rest, stopping at each midpoint
for (var i = 0; i < points.length - 1; i++) {
let mp = {};
mp.x = (points[i].x + points[i + 1].x) / 2;
mp.y = (points[i].y + points[i + 1].y) / 2;
ctx.quadraticCurveTo(points[i].x, points[i].y, mp.x, mp.y);
}
//curve through the last point, back to the first midpoint
ctx.quadraticCurveTo(
points[points.length - 1].x,
points[points.length - 1].y,
p.x,
p.y
);
ctx.stroke();
ctx.fill();
}
function Draw() {
window.requestAnimationFrame(Draw);
ctx.clearRect(0, 0, cw, ch);
points.map(p => {
p.update();
});
drawCurves();
}
Draw();
canvas{border:1px solid; background:#6ab150}
<canvas></canvas>
I'm trying to build a pyramid using squares in HTML5 Canvas, I have an algoritm that is half working, the only problem is that after three days and some lack of math abilities I haven't been able to find the proper formula.
Here is what I have, check the code comments so you can see what part of the algorithm we have to change.
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext('2d');
var W = 1000; var H = 600;
var side = 16;
canvas.width = W;
canvas.height = H;
function square(x, y) {
ctx.fillStyle = '#66FF00';
ctx.fillRect(x, y, side, side);
ctx.strokeStyle = '#000';
ctx.strokeRect(x, y, side, side);
}
function draw() {
ctx.fillRect(0, 0, W, H);
ctx.save();
for(var i = 0; i < 30; i++) {
for(var j = 0; j < i + 1; j++) {
square(
//Pos X
//This is what we have to change to
//make it look like a pyramid instead of stairs
W / 2 - ((side / 2) + (j * side)),
//Pos Y
side * (i + 1)
);
}
}
ctx.restore();
}
//STARTS DRAWING
draw();
This is the code working in jsfiddle so we can try it:
https://jsfiddle.net/g5spscpu/
The desired result is:
Well, I would love if someone could give me a hand, my brain is burning.
You need to use the i index in the formula for X position with:
W/2 - ((side / 2) + ((j - i/2) * side))
see https://jsfiddle.net/9esscdkc/
only one rectangle is being drawn even tho the x and y value are constanly being changed and fillrect(); is in the loop.
var canvas=document.getElementById('canvas');
var ctx = canvas.getContext('2d');
var n = 0;
a = [0,0,0.85,0.2,-0.15],
b = [0,0,0.04,-0.26,0.28],
c = [0,0,-0.04,0.23,0.26],
d = [0,0.16,0.85,0.22,0.24],
f = [0,1.6,1.6,1.6,0.44],
x = 1,
y = 1;
setInterval(function(){
ctx.translate(1400/2, 500/2);
i = Math.random();
if (i <= 0.02 ) n = 1;
else if (i > 0.02 && i < .89) n = 2;
else if(i > .89 && i < .96) n = 3;
else n = 4;
x = a[n] * x + b[n] * y;
y = c[n] * x + d[n] * y + f[n];
ctx.beginPath();
ctx.fillRect( x, y, 1, 1 );
ctx.stroke();
console.log(x, y);
}, 50);
http://jsfiddle.net/13huvske/
I think your problem is that you are setting ctx.translate in each cycle of your loop, which will add the origin offset for each cycle.
You could either set the ctx.translate once outside your loop, or you could (and i makes clearing the canvas easier) do ctx.save() before ctx.translate(), and ctx.restore() at the end of your loop.
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext('2d');
var n = 0,
a = [0, 0, 0.85, 0.2, -0.15],
b = [0, 0, 0.04, -0.26, 0.28],
c = [0, 0, -0.04, 0.23, 0.26],
d = [0, 0.16, 0.85, 0.22, 0.24],
f = [0, 1.6, 1.6, 1.6, 0.44],
x = 1,
y = 1;
setInterval(function () {
ctx.clearRect(0, 0, canvas.width, canvas.height);
ctx.save();
ctx.translate(canvas.width / 2, canvas.height / 2);
i = Math.random();
if (i <= 0.02)
n = 1;
else if (i > 0.02 && i < .89)
n = 2;
else if (i > .89 && i < .96)
n = 3;
else
n = 4;
x = a[n] * x + b[n] * y;
y = c[n] * x + d[n] * y + f[n];
ctx.fillStyle = 'red';
ctx.fillRect(x, y, 10, 10);
ctx.restore();
}, 50);
or look at http://jsfiddle.net/72z0f01b/2/
Sorry, i made your rectangle 10x10 instead of 1x1 and red to make it easier to see.
I also added a ctx.clearRect() and removed the ctx.stroke() (which is not needed since you use fillRect()), and i took the width and height from the canvas object instead of hardcoding it (this is a preference thing, it will work without changing that, but now you know thats an option :))
Any more questions? :)
UPDATE: As GameAlchemist mentioned in his comment:
You could also do ctx.translate(-(canvas.width / 2), -(canvas.height / 2)); instead of save() and restore().
It would look like this:
setInterval(function () {
ctx.clearRect(0, 0, canvas.width, canvas.height);
ctx.translate(canvas.width / 2, canvas.height / 2);
// Your render code
ctx.translate(-(canvas.width / 2), -(canvas.height / 2));
}, 50);
You can use the one you like the most, doing the latter version is probably faster to compute, however save() and restore() might be easier to read and understand.
What i would do is to use the one i think is the easiest to understand, and if your application runs into performance issues then i would start looking for things to improve.
I am working on a product that outputs images from users and the image information is overlayed on top of the aforementioned images. As you might imagine, the images require different text colors due to lightness/darkness. Is there a way to achieve this with JavaScript?
EDIT: I found a similar question to mine and there was a solution given in a jsfiddle (http://jsfiddle.net/xLF38/818). I am using jQuery for my site though. How would I convert the vanilla JavaScript to jQuery?
var rgb = getAverageRGB(document.getElementById('i'));
document.body.style.backgroundColor = 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')';
function getAverageRGB(imgEl) {
var blockSize = 5, // only visit every 5 pixels
defaultRGB = {
r: 0,
g: 0,
b: 0
}, // for non-supporting envs
canvas = document.createElement('canvas'),
context = canvas.getContext && canvas.getContext('2d'),
data, width, height,
i = -4,
length,
rgb = {
r: 0,
g: 0,
b: 0
},
count = 0;
if (!context) {
return defaultRGB;
}
height = canvas.height = imgEl.naturalHeight || imgEl.offsetHeight || imgEl.height;
width = canvas.width = imgEl.naturalWidth || imgEl.offsetWidth || imgEl.width;
context.drawImage(imgEl, 0, 0);
try {
data = context.getImageData(0, 0, width, height);
} catch (e) {
/* security error, img on diff domain */
alert('x');
return defaultRGB;
}
length = data.data.length;
while ((i += blockSize * 4) < length) {
++count;
rgb.r += data.data[i];
rgb.g += data.data[i + 1];
rgb.b += data.data[i + 2];
}
// ~~ used to floor values
rgb.r = ~~ (rgb.r / count);
rgb.g = ~~ (rgb.g / count);
rgb.b = ~~ (rgb.b / count);
return rgb;
}
I finally found something to do precisely what I want it to do! Enter Brian Gonzalez's
jquery.adaptive-backgrounds.js. Check this out:
$parent.css({
// backgroundColor: data.color
color: data.color
});
I just commented out the backgroundColor rule and made a new one for color. For white text, a text-shadow like:
text-shadow: 0 0 1px rgba($black, 0.3); // using Sass
should be enough. Thank you to everyone for your answers!
This is possible using the canvas element. You would have to create a canvas element, draw the image element into the canvas, get the canvas's image data, look at the portion where the text is, convert those values to grayscale, average them, then compare them with a halfway point. Some example code:
var img = document.getElementById('myImage');
var c = document.createElement('canvas');
var ctx = c.getContext('2d');
var w = img.width, h = img.height;
c.width = w; c.height = h;
ctx.drawImage(img, 0, 0);
var data = ctx.getImageData(0, 0, w, h).data;
var brightness = 0;
var sX = 0, sY = 0, eX = w, eY = h;
var start = (w * sY + sX) * 4, end = (w * eY + eX) * 4;
for (var i = start, n = end; i < n; i += 4) {
var r = data[i],
g = data[i + 1],
b = data[i + 2];
brightness += 0.34 * r + 0.5 * g + 0.16 * b;
if (brightness !== 0) brightness /= 2;
}
if (brightness > 0.5) var textColor = "#FFFFFF";
else var textColor = "#000000";
I haven't tested this code, though it should work. Make sure to change the sX, sY, eX, eY values to only the area where your text is, otherwise you will get unsatisfactory results (it will still work). Good luck!
EDIT:
You will not have to display your image in any special way. Just make sure that the color of the overlay text is the variable textColor.
you could check the background-image attribute with jQuery then adjust the text color dynamically.
var x = $(body).attr("background-image");
switch(x)
{
case "something.png":
// set color here
break;
}