Maximum size of cards inside a canvas - html

I am now working with a Web Application, which needs to draw some cards on a fixed rectangle canvas. Below is the criteria:
The canvas size is fixed with width "w" and height "h" when the Web Application starts.
There are "n" no. of cards which won't be changed after started.
All cards must in the same size, which has a fixed ratio with width "cw" and height "ch", the cards are able to re-size within the canvas.
I would like to calculate the maximum width and height of each card in such cases. Can anybody help?

Your question is lacking a lot of information. please read the comments in the code. I hope my answer may help you.
// initiate the canvas
const canvas = document.getElementById("canvas");
const ctx = canvas.getContext("2d");
let cw = canvas.width = 300,
cx = cw / 2;
let ch = canvas.height = 300,
cy = ch / 2;
// number of cards
let n = 12;
// the horizontal and vertical ratio
let ratio = {x:.2,y:.3}
// the width and the height of a card
let w = cw*ratio.x;
let h = ch*ratio.y;
// a counter
let i = 0;
//a double for loop to draw the cards
for(let y = 0; y<ch; y+=h){
for(let x = 0; x<cw; x+=w){
if(i < n)
{drawCard(x,y);
i++}
}
}
function drawCard(x,y){
ctx.beginPath();
ctx.strokeRect(x,y,w,h);
}
canvas {
border:1px solid #d9d9d9;
}
<canvas id="canvas"></canvas>

Finally, I found the solution myself.
This performance may not is the optimal one, but the solution gives me the new card width, new card height, cards per rows and cards per column. So that the cards can almost cover the canvas.
function crwh(col, row, n, cw, ch, w, h, exactN) {
// Methods
this.fn_init = function(col, row) {
this.col = col;
this.row = row;
if (this.col > 0 && this.row > 0) {
// Calculate new card width & card height base on col
this.cw_new = (this.w / this.col);
this.ch_new = (this.cw_new / this.cw * this.ch);
if (this.fn_valid() == false) {
// Calculate new card height & card width base on row
this.ch_new = (this.h / this.row);
this.cw_new = (this.ch_new / this.ch * cw);
}
}
}
this.fn_area = function() {
// Get the size the rectangle
return this.cw_new * this.ch_new;
}
this.fn_valid = function() {
var valid = true;
// True if col * row must equal to no. of cards, False allow col * row greater than no. of cards
valid = valid && ((this.exactN == true && (this.col * this.row) == this.n) || (this.exactN == false && (this.col * this.row) >= this.n));
// col * card width (new) must be shorter than canvas width
valid = valid && ((this.col * this.cw_new) <= this.w);
// row * card height (new) must be shorter than canvas height
valid = valid && ((this.row * this.ch_new) <= this.h);
return valid;
}
// Properties
this.n = n;
this.cw = cw;
this.ch = ch;
this.w = w;
this.h = h;
this.exactN = exactN;
this.col = 0;
this.row = 0;
this.cw_new = 0;
this.ch_new = 0;
this.fn_init(col, row);
}
function fn_getCardDimensions(n, cw, ch, w, h, exactN) {
var crwh_max = new crwh(0, 0);
// Loop thru 1 to n for col & row to see which combination allow a maximum card size
for (var col = 1; col <= n; col++) {
for (var row = 1; row <= n; row++) {
if ((col * row) >= n) {
var crwh_cur = new crwh(col, row, n, cw, ch, w, h, exactN);
if (crwh_cur.fn_valid()) {
if (crwh_cur.fn_area() > crwh_max.fn_area()) {
crwh_max = crwh_cur;
}
}
}
}
}
return [crwh_max.col, crwh_max.row, crwh_max.cw_new, crwh_max.ch_new];
}
var n = 80; // No. of Cards
var cw = 344; // Card Width (orig)
var ch = 512; // Card Height (orig)
var w = 0; // Canvas Width
var h = 0; // Canvas Height
var exactN = true; // True if col * row must equal to no. of cards
function fn_drawCards() {
var canvas = document.getElementById("canvas");
var ctx = canvas.getContext("2d");
w = canvas.width;
h = canvas.height;
[col, row, cw_new, ch_new] = fn_getCardDimensions(n, cw, ch, w, h, exactN);
for (var i = 0; i < col; i++) {
for (var j = 0; j < row; j++) {
ctx.beginPath();
ctx.strokeRect(i * cw_new, j * ch_new, cw_new, ch_new);
}
}
}
fn_drawCards();
canvas {
border:1px solid #00FF00;
}
<canvas id="canvas"></canvas>

Related

Check if image A exists in image B

I need to check if an image exists in another image using JavaScript, I need to know what are the best approaches (algorithm) and solutions (ex: librarie) to do this operations
I explained what I need to do in this image:
Using the GPU to help in image processing.
Using the 2D API and some simple tricks you can exploit the GPUs power to speed up Javascript.
Difference
To find an image you need to compare the pixels you are looking for (A) against the pixels in the image (B). If the difference between the Math.abs(A-B) === 0 then the pixels are the same.
A function to do this may look like the following
function findDif(imageDataSource, imageDataDest, xx,yy)
const ds = imageDataSource.data;
const dd = imageDataDest.data;
const w = imageDataSource.width;
const h = imageDataSource.height;
var x,y;
var dif = 0;
for(y = 0; y < h; y += 1){
for(x = 0; x < w; x += 1){
var indexS = (x + y * w) * 4;
var indexD = (x + xx + (y + yy) * imageDataDest.width) * 4;
dif += Math.abs(ds[indexS]-dd[indexD]);
dif += Math.abs(ds[indexS + 1]-dd[indexD + 1]);
dif += Math.abs(ds[indexS + 2]-dd[indexD + 2]);
}
}
return dif;
}
var source = sourceCanvas.getContext("2d").getImageData(0,0,sourceCanvas.width,sourceCanvas.height);
var dest = destinationCanvas.getContext("2d").getImageData(0,0,destinationCanvas.width,destinationCanvas.height);
if(findDif(source,dest,100,100)){ // is the image at 100,100?
// Yes image is very similar
}
Where the source is the image we are looking for and the dest is the image we want to find it in. We run the function for every location that the image may be and if the result is under a level then its a good chance we have found it.
But this is very very slow in JS. This is where the GPU can help.
Using the ctx.globalCompositeOperation = "difference"; operation we can speed up the process as it will do the difference calculation for us
When you render with the comp operation "difference" the resulting pixels are the difference between the pixels you are drawing and those that are already on the canvas. Thus if you draw on something that is the same the result is all pixels are black (no difference)
To find a similar image in the image you render the image you are testing for at each location on the canvas that you want to test for. Then you get the sum of all the pixels you just rendered on, if the result is under a threshold that you have set then the image under that area is very similar to the image you are testing for.
But we still need to count all the pixels one by one.
A GPU mean function
The comp op "difference" already does the pixel difference calculation for you, but to get the sum you can use the inbuilt image smoothing.
After you have rendered to find the difference you take that area and render it at a smaller scale with ctx.imageSmoothingEnabled = true the default setting. The GPU will do something similar to an average and can reduce the amount of work JS has to do by several orders of magnitude.
Now instead of 100s or 1000s of pixels you can reduce it down to as little at 4 or 16 depending on the accuracy you need.
An example.
Using these methods you can get a near realtime image in image search with just the basic numerical analysis.
Click to start a test. Results are shown plus the time it took. The image that is being searched for is in the top right.
//------------------------------------------------------------------------
// Some helper functions
var imageTools = (function () {
var tools = {
canvas(width, height) { // create a blank image (canvas)
var c = document.createElement("canvas");
c.width = width;
c.height = height;
return c;
},
createImage : function (width, height) {
var i = this.canvas(width, height);
i.ctx = i.getContext("2d");
return i;
},
image2Canvas(img) {
var i = this.canvas(img.width, img.height);
i.ctx = i.getContext("2d");
i.ctx.drawImage(img, 0, 0);
return i;
},
copyImage(img){ // just a named stub
return this.image2Canvas(img);
},
};
return tools;
})();
const U = undefined;
const doFor = (count, callback) => {var i = 0; while (i < count && callback(i ++) !== true ); };
const setOf = (count, callback) => {var a = [],i = 0; while (i < count) { a.push(callback(i ++)) } return a };
const randI = (min, max = min + (min = 0)) => (Math.random() * (max - min) + min) | 0;
const rand = (min, max = min + (min = 0)) => Math.random() * (max - min) + min;
const randA = (array) => array[(Math.random() * array.length) | 0];
const randG = (min, max = min + (min = 0)) => Math.random() * Math.random() * Math.random() * Math.random() * (max - min) + min;
// end of helper functions
//------------------------------------------------------------------------
function doit(){
document.body.innerHTML = ""; // clear the page;
var canvas = document.createElement("canvas");
document.body.appendChild(canvas);
var ctx = canvas.getContext("2d");
// a grid of 36 images
canvas.width = 6 * 64;
canvas.height = 6 * 64;
console.log("test");
// get a random character to look for
const digit = String.fromCharCode("A".charCodeAt(0) + randI(26));
// get some characters we dont want
const randomDigits = setOf(6,i=>{
return String.fromCharCode("A".charCodeAt(0) + randI(26));
})
randomDigits.push(digit); // add the image we are looking for
var w = canvas.width;
var h = canvas.height;
// create a canvas for the image we are looking for
const imageToFind = imageTools.createImage(64,64);
// and a larger one to cover pixels on the sides
const imageToFindExtend = imageTools.createImage(128,128);
// Draw the character onto the image with a white background and scaled to fit
imageToFindExtend.ctx.fillStyle = imageToFind.ctx.fillStyle = "White";
imageToFind.ctx.fillRect(0,0,64,64);
imageToFindExtend.ctx.fillRect(0,0,128,128);
ctx.font = imageToFind.ctx.font = "64px arial black";
ctx.textAlign = imageToFind.ctx.textAlign = "center";
ctx.textBaseline = imageToFind.ctx.textBaseline = "middle";
const digWidth = imageToFind.ctx.measureText(digit).width+8;
const scale = Math.min(1,64/digWidth);
imageToFind.ctx.fillStyle = "black";
imageToFind.ctx.setTransform(scale,0,0,scale,32,32);
imageToFind.ctx.fillText(digit,0,0);
imageToFind.ctx.setTransform(1,0,0,1,0,0);
imageToFindExtend.ctx.drawImage(imageToFind,32,32);
imageToFind.extendedImage = imageToFindExtend;
// Now fill the canvas with images of other characters
ctx.fillStyle = "white";
ctx.setTransform(1,0,0,1,0,0);
ctx.fillRect(0,0,w,h);
ctx.fillStyle = "black";
ctx.strokeStyle = "white";
ctx.lineJoin = "round";
ctx.lineWidth = 12;
// some characters will be rotated 90,180,-90 deg
const dirs = [
[1,0,0,1,0,0],
[0,1,-1,0,1,0],
[-1,0,0,-1,1,1],
[0,-1,1,0,0,1],
]
// draw random characters at random directions
doFor(h / 64, y => {
doFor(w / 64, x => {
const dir = randA(dirs)
ctx.setTransform(dir[0] * scale,dir[1] * scale,dir[2] * scale,dir[3] * scale,x * 64 + 32, y * 64 + 32);
const d = randA(randomDigits);
ctx.strokeText(d,0,0);
ctx.fillText(d,0,0);
});
});
ctx.setTransform(1,0,0,1,0,0);
// get a copy of the canvas
const saveCan = imageTools.copyImage(ctx.canvas);
// function that finds the images
// image is the image to find
// dir is the matrix direction to find
// smapleSize is the mean sampling size samller numbers are quicker
function checkFor(image,dir,sampleSize){
const can = imageTools.copyImage(saveCan);
const c = can.ctx;
const stepx = 64;
const stepy = 64;
// the image that will contain the reduced means of the differences
const results = imageTools.createImage(Math.ceil(w / stepx) * sampleSize,Math.ceil(h / stepy) * sampleSize);
const e = image.extendedImage;
// for each potencial image location
// set a clip area and draw the source image on it with
// comp mode "difference";
for(var y = 0 ; y < h; y += stepy ){
for(var x = 0 ; x < w; x += stepx ){
c.save();
c.beginPath();
c.rect(x,y,stepx,stepy);
c.clip();
c.globalCompositeOperation = "difference";
c.setTransform(dir[0],dir[1],dir[2],dir[3],x +32 ,y +32 );
c.drawImage(e,-64,-64);
c.restore();
}
}
// Apply the mean (reducing nnumber of pixels to check
results.ctx.drawImage(can,0,0,results.width,results.height);
// get the pixel data
var dat = new Uint32Array(results.ctx.getImageData(0,0,results.width,results.height).data.buffer);
// for each area get the sum of the difference
for(var y = 0; y < results.height; y += sampleSize){
for(var x = 0; x < results.width; x += sampleSize){
var val = 0;
for(var yy = 0; yy < sampleSize && y+yy < results.height; yy += 1){
var i = x + (y+yy)*results.width;
for(var xx = 0; xx < sampleSize && x + xx < results.width ; xx += 1){
val += dat[i++] & 0xFF;
}
}
// if the sum is under the threshold we have found an image
// and we mark it
if(val < sampleSize * sampleSize * 5){
ctx.strokeStyle = "red";
ctx.fillStyle = "rgba(255,0,0,0.5)";
ctx.lineWidth = 2;
ctx.strokeRect(x * (64/sampleSize),y * (64/sampleSize),64,64);
ctx.fillRect(x * (64/sampleSize),y * (64/sampleSize),64,64);
foundCount += 1;
}
}
}
}
var foundCount = 0;
// find the images at different orientations
var now = performance.now();
checkFor(imageToFind,dirs[0],4);
checkFor(imageToFind,dirs[1],6); // rotated images need larger sample size
checkFor(imageToFind,dirs[2],6);
checkFor(imageToFind,dirs[3],6);
var time = performance.now() - now;
var result = document.createElement("div");
result.textContent = "Found "+foundCount +" matching images in "+time.toFixed(3)+"ms. Click to try again.";
document.body.appendChild(result);
// show the image we are looking for
imageToFind.style.left = (64*6 + 16) + "px";
imageToFind.id = "lookingFor";
document.body.appendChild(imageToFind);
}
document.addEventListener("click",doit);
canvas {
border : 2px solid black;
position : absolute;
top : 28px;
left : 2px;
}
#lookingFor {
border : 4px solid red;
}
div {
border : 2px solid black;
position : absolute;
top : 2px;
left : 2px;
}
Click to start test.
Not perfect
The example is not perfect and will sometimes make mistakes. There is a huge amount of room for improving both the accuracy and the speed. This is just something I threw together as an example to show how to use the GPU via the 2D API. Some further maths will be needed to find the statistically good results.
This method can also work for different scales, and rotations, you can even use some of the other comp modes to remove colour and normalize contrast. I have used a very similar approch to stabilize webcam by tracking points from one frame to the next, and a veriaty of other image tracking uses.

How scroll rows and columns in grid with cocos2d-js

I new in the game dev and cocos.
So, I have following grid:
1|2|3|4
5|6|7|8
9|1|2|3
User can scroll row or columns around.
For example, if user scroll first row by one position we got following grig:
4|1|2|3
5|6|7|8
9|1|2|3
How I can do in with cocos2d js? Which components use for that?
Now I try create grid:
for (var i = 0; i < 16; i++) {
var tile = new NumberTile(i);
tile.pictureValue = gameArray[i];
this.addChild(tile, 0);
tile.setPosition(49 + i % 4 * 74, 400 - Math.floor(i / 4) * 74);
}
And add to game Layer.
NumberTile - its sprite with number. But I don't know how to scroll rows and columns around.
use a vertical scrollview as container, add add horizontal scrollviews into it.
var HelloWorldLayer = cc.Layer.extend({
sprite: null,
ctor: function() {
// 1. super init first
this._super();
var count = 10;
var size = cc.winSize;
var w = size.width;
var h = size.height / 4;
var c_container = new cc.Node();
c_container.setContentSize(cc.size(w, h * count));
var container = new cc.ScrollView(size, c_container);
container.setDirection(cc.SCROLLVIEW_DIRECTION_VERTICAL);
for (var i = 0; i < count; i++) {
var child = new cc.Node();
child.setContentSize(cc.size(w, h));
this.createSubScrollView(child);
child.setPosition(cc.p(0, h * i));
container.addChild(child);
}
var f1 = container.getAnchorPoint();
container.setPosition(cc.p(0, 0));
this.addChild(container);
return true;
},
createSubScrollView: function(container) {
var size = container.getContentSize();
var count = 10;
var w = size.width / 4;;
var h = size.height;
var c_container = new cc.Node();
c_container.setContentSize(cc.size(w * count, h));
var scroll = new cc.ScrollView(size, c_container);
scroll.setDirection(cc.SCROLLVIEW_DIRECTION_HORIZONTAL);
for (var i = 0; i < count; i++) {
var child = new cc.Node();
child.setContentSize(cc.size(w, h));
var color = i % 2 == 0 ? cc.color.RED : cc.color.GREEN;
var c = new cc.LayerColor(color, w, h);
child.addChild(c);
var label = new cc.LabelTTF("" + i, "Arial", 20);
label.setPosition(cc.p(w * 0.5, h * 0.5));
child.addChild(label);
child.setPosition(cc.p(w * i, 0));
scroll.addChild(child);
}
container.addChild(scroll);
},
});
add here is what it acts

Getting pixel data on setInterval with canvas

I want to build an animated alphabet, made up of particles. Basically, the particles transform from one letter shape to another.
My idea is to fill the letters as text on canvas real quickly (like for a frame), get the pixel data and put the particles to the correct location on setInterval. I have this code for scanning the screen right now:
var ctx = canvas.getContext('2d'),
width = ctx.canvas.width,
height = ctx.canvas.height,
particles = [],
gridX = 8,
gridY = 8;
function Particle(x, y) {
this.x = x;
this.y = y;
}
// fill some text
ctx.font = 'bold 80px sans-serif';
ctx.fillStyle = '#ff0';
ctx.fillText("STACKOVERFLOW", 5, 120);
// now parse bitmap based on grid
var idata = ctx.getImageData(0, 0, width, height);
// use a 32-bit buffer as we are only checking if a pixel is set or not
var buffer32 = new Uint32Array(idata.data.buffer);
// using two loops here, single loop with index-to-x/y is also an option
for(var y = 0; y < height; y += gridY) {
for(var x = 0; x < width; x += gridX) {
//buffer32[] will have a value > 0 (true) if set, if not 0=false
if (buffer32[y * width + x]) {
particles.push(new Particle(x, y));
}
}
}
// render particles
ctx.clearRect(0, 0, width, height);
particles.forEach(function(p) {
ctx.fillRect(p.x - 2, p.y - 2, 4, 4); // just squares here
})
But this way I am only showing one word, without any changes throughout the time. Also, I want to set up initially like 200 particles and reorganise them based on the pixel data, not create them on each scan.. How would you rewrite the code, so on every 1500ms I can pass a different letter and render it with particles?
Hopefully the different parts of this code should be clear enough : There are particles, that can draw and update, fillParticle will spawn particles out of a text string, and spawnChars will get a new part of the text rendered on a regular basis.
It is working quite well, play with the parameters if you wish, they are all at the start of the fiddle.
You might want to make this code cleaner, by avoiding globals and creating classes.
http://jsbin.com/jecarupiri/1/edit?js,output
// --------------------
// parameters
var text = 'STACKOVERFLOW';
var fontHeight = 80;
var gridX = 4,
gridY = 4;
var partSize = 2;
var charDelay = 400; // time between two chars, in ms
var spead = 80; // max distance from start point to final point
var partSpeed = 0.012;
// --------------------
var canvas = document.getElementById('cv'),
ctx = canvas.getContext('2d'),
width = ctx.canvas.width,
height = ctx.canvas.height,
particles = [];
ctx.translate(0.5,0.5);
// --------------------
// Particle class
function Particle(startX, startY, finalX, finalY) {
this.speed = partSpeed*(1+Math.random()*0.5);
this.x = startX;
this.y = startY;
this.startX = startX;
this.startY = startY;
this.finalX =finalX;
this.finalY =finalY;
this.parameter = 0;
this.draw = function() {
ctx.fillRect(this.x - partSize*0.5, this.y - partSize*0.5, partSize, partSize);
};
this.update = function(p) {
if (this.parameter>=1) return;
this.parameter += partSpeed;
if (this.parameter>=1) this.parameter=1;
var par = this.parameter;
this.x = par*this.finalX + (1-par)*this.startX;
this.y = par*this.finalY + (1-par)*this.startY;
};
}
// --------------------
// Text spawner
function fillParticle(text, offx, offy, spread) {
// fill some text
tmpCtx.clearRect(0,0,tmpCtx.canvas.width, tmpCtx.canvas.height);
tmpCtx.font = 'bold ' + fontHeight +'px sans-serif';
tmpCtx.fillStyle = '#A40';
tmpCtx.textBaseline ='top';
tmpCtx.textAlign='left';
tmpCtx.fillText(text, 0, 0);
//
var txtWidth = Math.floor(tmpCtx.measureText(text).width);
// now parse bitmap based on grid
var idata = tmpCtx.getImageData(0, 0, txtWidth, fontHeight);
// use a 32-bit buffer as we are only checking if a pixel is set or not
var buffer32 = new Uint32Array(idata.data.buffer);
// using two loops here, single loop with index-to-x/y is also an option
for(var y = 0; y < fontHeight; y += gridY) {
for(var x = 0; x < txtWidth; x += gridX) {
//buffer32[] will have a value > 0 (true) if set, if not 0=false
if (buffer32[y * txtWidth + x]) {
particles.push(new Particle(offx + x+Math.random()*spread - 0.5*spread,
offy + y+Math.random()*spread - 0.5*spread, offx+x, offy+y));
}
}
}
return txtWidth;
}
var tmpCv = document.createElement('canvas');
// uncomment for debug
//document.body.appendChild(tmpCv);
var tmpCtx = tmpCv.getContext('2d');
// --------------------------------
// spawn the chars of the text one by one
var charIndex = 0;
var lastSpawnDate = -1;
var offX = 30;
var offY = 30;
function spawnChars() {
if (charIndex>= text.length) return;
if (Date.now()-lastSpawnDate < charDelay) return;
offX += fillParticle(text[charIndex], offX, offY, spead);
lastSpawnDate = Date.now();
charIndex++;
}
// --------------------------------
function render() {
// render particles
particles.forEach(function(p) { p.draw();
});
}
function update() {
particles.forEach(function(p) { p.update(); } );
}
// --------------------------------
// animation
function animate(){
requestAnimationFrame(animate);
ctx.clearRect(0, 0, width, height);
render();
update();
//
spawnChars();
}
// launch :
animate();

How can I implement Lanczos resampling after every canvas transform without having to make a new canvas?

UPDATE: Once I got this demo working... holy smokes, it's SLOW, like 12-16 seconds for only a level 2 render (when image is around 1000x2000 pixels). This is not even worth bothering with.
I found this really awesome and hopeful looking code in the top answer here: Resizing an image in an HTML5 canvas
//returns a function that calculates lanczos weight
function lanczosCreate(lobes){
return function(x){
if (x > lobes)
return 0;
x *= Math.PI;
if (Math.abs(x) < 1e-16)
return 1
var xx = x / lobes;
return Math.sin(x) * Math.sin(xx) / x / xx;
}
}
//elem: canvas element, img: image element, sx: scaled width, lobes: kernel radius
function thumbnailer(elem, img, sx, lobes){
this.canvas = elem;
elem.width = img.width;
elem.height = img.height;
elem.style.display = "none";
this.ctx = elem.getContext("2d");
this.ctx.drawImage(img, 0, 0);
this.img = img;
this.src = this.ctx.getImageData(0, 0, img.width, img.height);
this.dest = {
width: sx,
height: Math.round(img.height * sx / img.width),
};
this.dest.data = new Array(this.dest.width * this.dest.height * 3);
this.lanczos = lanczosCreate(lobes);
this.ratio = img.width / sx;
this.rcp_ratio = 2 / this.ratio;
this.range2 = Math.ceil(this.ratio * lobes / 2);
this.cacheLanc = {};
this.center = {};
this.icenter = {};
setTimeout(this.process1, 0, this, 0);
}
thumbnailer.prototype.process1 = function(self, u){
self.center.x = (u + 0.5) * self.ratio;
self.icenter.x = Math.floor(self.center.x);
for (var v = 0; v < self.dest.height; v++) {
self.center.y = (v + 0.5) * self.ratio;
self.icenter.y = Math.floor(self.center.y);
var a, r, g, b;
a = r = g = b = 0;
for (var i = self.icenter.x - self.range2; i <= self.icenter.x + self.range2; i++) {
if (i < 0 || i >= self.src.width)
continue;
var f_x = Math.floor(1000 * Math.abs(i - self.center.x));
if (!self.cacheLanc[f_x])
self.cacheLanc[f_x] = {};
for (var j = self.icenter.y - self.range2; j <= self.icenter.y + self.range2; j++) {
if (j < 0 || j >= self.src.height)
continue;
var f_y = Math.floor(1000 * Math.abs(j - self.center.y));
if (self.cacheLanc[f_x][f_y] == undefined)
self.cacheLanc[f_x][f_y] = self.lanczos(Math.sqrt(Math.pow(f_x * self.rcp_ratio, 2) + Math.pow(f_y * self.rcp_ratio, 2)) / 1000);
weight = self.cacheLanc[f_x][f_y];
if (weight > 0) {
var idx = (j * self.src.width + i) * 4;
a += weight;
r += weight * self.src.data[idx];
g += weight * self.src.data[idx + 1];
b += weight * self.src.data[idx + 2];
}
}
}
var idx = (v * self.dest.width + u) * 3;
self.dest.data[idx] = r / a;
self.dest.data[idx + 1] = g / a;
self.dest.data[idx + 2] = b / a;
}
if (++u < self.dest.width)
setTimeout(self.process1, 0, self, u);
else
setTimeout(self.process2, 0, self);
};
thumbnailer.prototype.process2 = function(self){
self.canvas.width = self.dest.width;
self.canvas.height = self.dest.height;
self.ctx.drawImage(self.img, 0, 0);
self.src = self.ctx.getImageData(0, 0, self.dest.width, self.dest.height);
var idx, idx2;
for (var i = 0; i < self.dest.width; i++) {
for (var j = 0; j < self.dest.height; j++) {
idx = (j * self.dest.width + i) * 3;
idx2 = (j * self.dest.width + i) * 4;
self.src.data[idx2] = self.dest.data[idx];
self.src.data[idx2 + 1] = self.dest.data[idx + 1];
self.src.data[idx2 + 2] = self.dest.data[idx + 2];
}
}
self.ctx.putImageData(self.src, 0, 0);
self.canvas.style.display = "block";
}
...
img.onload = function() {
var canvas = document.createElement("canvas");
new thumbnailer(canvas, img, 188, 3); //this produces lanczos3
//but feel free to raise it up to 8. Your client will appreciate
//that the program makes full use of his machine.
document.body.appendChild(canvas);
}
However, this implementation loads an image and renders it, end of story.
I have been trying to re-implement this code so that it does the filtering every time an existing canvas is scaled (think, zooming in and out of an image or document) without having to load a new image or create a new canvas.
How can I adapt it to work this way? Or is that even possible?
What you want to do is something like a singleton to reuse your canvas object. This will let you save the cost of create a new canvas object each time and you will reuse the same object
function getCanvas(){
var canvas;
if (typeof canvas === "undefined"){ canvas = document.createElement("canvas");}
return canvas;
}
img.onload = function() {
var canvas = getCanvas("canvas");
.... THE REST OF YOUR CODE .......
}
.
However this is not what slows your code, image scaling Algorithms are really heavy algorithms with intensive cpu use "usually make use of gpu acceleration at a really low level", and use advanced techniques like multiple bufferr and so others. here is a interesting tutorial in java.net on how image scaling works, it is in java but you can interpolate to any language.
Javascript is not ready for this techniques, so I recommend you to use the transformations available in the canvas api, as in the tutorial you read the efficient way is using the canvas2Dcontext.
var ctx = canvas.getContext("2d");
ctx.scale(2,2);

Draw a grid on an HTML 5 canvas element

I've been searching everywhere and couldn't find how to draw a grid on an HTML5 Canvas. I'm new to HTML5 and canvas.
I know how to draw shapes but this drawing grid is taking forever to understand.
Can someone help me on this?
The answer is taken from here Grid drawn using a <canvas> element looking stretched
Just edited it a little, hope it helps
// Box width
var bw = 400;
// Box height
var bh = 400;
// Padding
var p = 10;
var canvas = document.getElementById("canvas");
var context = canvas.getContext("2d");
function drawBoard(){
for (var x = 0; x <= bw; x += 40) {
context.moveTo(0.5 + x + p, p);
context.lineTo(0.5 + x + p, bh + p);
}
for (var x = 0; x <= bh; x += 40) {
context.moveTo(p, 0.5 + x + p);
context.lineTo(bw + p, 0.5 + x + p);
}
context.strokeStyle = "black";
context.stroke();
}
drawBoard();
body {
background: lightblue;
}
#canvas {
background: #fff;
margin: 20px;
}
<div>
<canvas id="canvas" width="420px" height="420px"></canvas>
</div>
// Box width
var bw = 270;
// Box height
var bh = 180;
var canvas = document.getElementById("canvas");
var context = canvas.getContext("2d");
function drawBoard(){
context.lineWidth = 10;
context.strokeStyle = "rgb(2,7,159)";
for (var x = 0; x < bw; x += 90) {
for (var y = 0; y < bh; y += 90) {
context.strokeRect(x+10, y+10, 90, 90);
}
}
}
drawBoard();
This code allows for a scalable / resize grid
const canvas = document.getElementById('canvas')
const ctx = canvas.getContext('2d')
canvas.width = window.innerWidth
canvas.height = window.innerHeight
function drawBoard()
{
// canvas dims
const bw = window.innerWidth
const bh = window.innerHeight
const lw = 1 // box border
const boxRow = 10 // how many boxes
const box = bw / boxRow // box size
ctx.lineWidth = lw
ctx.strokeStyle = 'rgb(2,7,159)'
for (let x=0;x<bw;x+=box)
{
for (let y=0;y<bh;y+=box)
{
ctx.strokeRect(x,y,box,box)
}
}
}
let rTimeout = null
window.addEventListener('resize', (e) =>
{
clearTimeout(rTimeout)
ctx.clearRect(0, 0, window.innerWidth, window.innerHeight)
rTimeout = setTimeout(function(){drawBoard()}, 33)
})
drawBoard()
<canvas id="canvas"></canvas>