i am trying to load images on a canvas from my local folder, this is my js script :
function loadElement(url) {
return new Promise((resolve) => {
const element = new Image();
element.addEventListener("load", () => {
resolve(element);
});
element.src = url;
});
}
//canvas
const canvas = document.querySelector("canvas");
const context = canvas.getContext("2d");
context.fillRect(0, 0, 50, 50);
loadElement("./tilesheet.png").then((element) =>
context.drawImage(element, 0, 0)
);
and my html script:
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Surface</title>
<link rel="stylesheet" href="css/main.css" />
<script type="module" src="js/main.js"></script>
</head>
<body>
<canvas id="canvas"></canvas>
</body>
</html>
but i get this error:
GET http://127.0.0.1:5500/public/tilesheet.png 404 (Not Found)
and i dont understand why.
Your code loads fine with a known good image:
function loadElement(url) {
return new Promise((resolve) => {
const e = new Image();
e.addEventListener("load", () => { resolve(e); });
e.src = url;
});
}
const canvas = document.querySelector("canvas");
const context = canvas.getContext("2d");
context.fillRect(0, 0, 50, 50);
loadElement("http://i.stack.imgur.com/UFBxY.png")
.then((e) => context.drawImage(e, 0, 0));
<canvas id="canvas"></canvas>
My guess the error is right your image is not there: 404 (Not Found)
Related
In theory it should be as easy as :
//targetCanvas is a canvas node
//app is instance of PIXI.Application
targetCanvas.drawImage(app.view, 0, 0);
But, trust me, It doesn't work!
Sometime (yes, I said sometime) it does work if I add some delay before copying the image into the targetCanvas. ... So, I wonder if there is an asynchronous process happening when PIXI is rendering... but I can not find this information in PIXI's documentation.
var loadImage = async function(imgPath) {
return new Promise((resolve, reject) => {
var img = document.createElement("img");
img.onload = ()=> {
resolve(img);
}
img.src = imgPath;
})
}
var canvasTag = document.querySelector("#canvasVideo");
var canvasCtx = canvasTag.getContext("2d");
var canvasResult = document.querySelector("#canvasResult");
var canvasResultCtx = canvasResult.getContext("2d");
var canvasWidth = canvasTag.width;
var canvasHeight = canvasTag.height;
var canvasWidth = 320;
var canvasHeight = 240;
const app = new PIXI.Application({
view: document.querySelector("#glCanvas"),
transparent: true,
width: canvasWidth,
height: canvasHeight
});
const container = new PIXI.Container();
const renderer = PIXI.autoDetectRenderer();
app.stage.addChild(container);
(async ()=> {
var imgTag = await loadImage("data:image/png;base64,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");
canvasCtx.drawImage(imgTag, 0, 0, canvasWidth, canvasHeight);
var bgSprite = PIXI.Sprite.from(imgTag);
app.stage.addChild(bgSprite);
canvasResultCtx.drawImage(document.querySelector("#glCanvas"), 0, 0);
})()
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://pixijs.download/release/pixi.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.1/jquery.min.js"></script>
<title>Document</title>
</head>
<body>
<canvas id="canvasVideo" width="320" height="240" autoplay></canvas>
<canvas id="glCanvas" width="320" height="240" autoplay></canvas>
<canvas id="canvasResult" width="320" height="240" autoplay></canvas>
</body>
</html>
canvasVideo (left) is normal canvas with 2d context.
glCanvas (middle) is a PIXI's view
canvasResult (right) is a normal canvas where a PIXI view should be copied into.
We don't have any problem copying canvas into PIXI. (except the CORS prevents the webGL renders the image correctly)
But, as you can see, the third canvas is blank. I wonder if there is any solution to this issue... without using PIXI's ticker or setTimeout?
You don't need to use the PIXI ticker or a custom timer (requestAnimationFrame as in your own response) to render to the canvas. There's the possibility to simply call app.render() in a synchronous way after the desired elements are added to the stage.
On top of that, if you want to prevent having a running application that renders on each frame, you may want to add autoStart: false to your Application config.
var loadImage = async function(imgPath) {
return new Promise((resolve, reject) => {
var img = document.createElement("img");
img.onload = ()=> {
resolve(img);
}
img.src = imgPath;
})
}
var canvasWidth = 320;
var canvasHeight = 240;
const app = new PIXI.Application({
view: document.querySelector("#glCanvas"),
transparent: true,
width: canvasWidth,
height: canvasHeight,
autoStart: false,
});
(async () => {
var imgTag = await loadImage("data:image/png;base64,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");
var bgSprite = PIXI.Sprite.from(imgTag);
app.stage.addChild(bgSprite);
app.render();
})()
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://pixijs.download/release/pixi.js"></script>
<title>Document</title>
</head>
<body>
<canvas id="glCanvas" width="320" height="240"></canvas>
</body>
</html>
The ticker is not used for non-animated sprites, but apparently pixi still needs ONE frame to draw everything before you can copy it.
I was able to solve your issue with one requestAnimationFrame
(async ()=> {
var imgTag = await loadImage("data:image/png;base64,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");
canvasCtx.drawImage(imgTag, 0, 0, canvasWidth, canvasHeight);
var bgSprite = PIXI.Sprite.from(imgTag);
app.stage.addChild(bgSprite);
requestAnimationFrame(() => {
canvasResultCtx.drawImage(document.querySelector("#glCanvas"), 0, 0);
});
})()
I am trying to save my canvas which include image. I was trying use toDataURL, but it doesn't work on this case. The canvas is work to input the image inside.
HTML
<img src="bg.png" id="toIMG" />
<canvas></canvas>
<img alt="UNCHANGED" id="getCtx">
<span>Why does the img doesn't change?</span>
JS
window.onload = function(){
var c, ctx, img, img2;
c = document.querySelector("canvas");
ctx = c.getContext("2d");
img = document.getElementById("toIMG");
ctx.drawImage(img, 0,0, c.width, c.height);
img2 = document.getElementById("getCtx");
img2.src = ctx.canvas.toDataURL("image/png");
}
Instead of running the function when window has loaded, run it when the img has loaded. Also, as #CrissCrossCrass has pointed out, toDataURL is a method of canvas but not context.
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta http-equiv="X-UA-Compatible" content="ie=edge" />
<title>Static Template</title>
</head>
<body>
<img
id="toIMG"
src="https://source.unsplash.com/random/120x120"
crossorigin="anonymous"
/>
<canvas></canvas>
<img id="getCtx" />
<script>
var c = document.querySelector("canvas");
var img = document.getElementById("toIMG");
var img2 = document.getElementById("getCtx");
var ctx = c.getContext("2d");
img.onload = function() {
c.width = img.width;
c.height = img.height;
ctx.drawImage(img, 0, 0, c.width, c.height);
img2.src = c.toDataURL("image/png");
};
</script>
</body>
</html>
Also, you may want to set the crossOrigin attribute of the first img element to be anonymous to avoid tainted canvas. Read more about it
I tried that and actually it's working. Share if the console drops any error. Then i'll update my answer depending on it.
I am trying to create super mario with javascript but I am getting an error.
I don't understand why I am getting this error please help me out.
I wasn't getting this error before I added a class and const sprite.
I think it has something to do with the const sprite and class SpriteSheet.
I have attached screen shot of that error and I have also entered the whole code.
// A Function That loads image
function loadImage(url){ // give pram of url
return new Promise(resolve => { // create a promise
const image = new Image(); // set image to IMAGE() function
image.addEventListener('load', () => { // add eventlistener to load that image
resolve(image); // resolve image
});
image.src= url; // use param and src to enter url
});
}
// Class SpriteSheet
class SpriteSheet{
constructor(image, width, height){
this.image = image;
this.height = height;
this.width = width;
this.tiles = new Map();
}
// define a buffer so we don't have to create same element again and again.
define(name,x,y){
const buffer = document.createElement('canvas');
buffer.width = this.width;
buffer.heigth = this.height;
buffer.getContext('2d').drawImage(
this.image,
x * this.height,
y * this.width,
this.height,
this.width,
0,
0,
this.width,
this.height);
this.tiles.set(name,buffer);
}
draw(name, x, y){
const buffer = this.tiles.get(name);
context.drawImage(buffer,x,y);
};
}
// Draw a Canvas
const canvas = document.getElementById('screen');
const context = canvas.getContext('2d');
// create a Rectange
context.fillRect(0, 0, 500, 500);
// Define
const sprites = new SpriteSheet(image, 16, 16);
sprites.define('ground', 0,0);
sprites.draw('ground', context, 45,62);
// Load Image
loadImage('/img/tiles.png')
.then(image => {
context.drawImage(image,0,0,16,16,0,0,16,16); // (img,sx,sy,swidth,sheight,x,y,width,height) // First Four means subset you want to draw and other four means where you want to draw it
});
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Super Mario</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<script src="\js\main.js" type="module"></script>
</head>
<body>
<canvas id="screen" width="640" height="640"></canvas>
</body>
</html>
A promise takes two arguments: resolve and reject.
function loadImage(url) {
return new Promise((resolve, reject) => {
const image = new Image();
image.addEventListener('load', () => resolve(image));
image.addEventListener('error', () => reject(image));
image.src = url;
});
}
The code below says that spike.image.width = 0. Why is this? I'm probably missing something that is obvious.
class Spike {
constructor(x = 200, y = 200) {
this.x = x;
this.y = y;
this.image = new Image();
this.image.src = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSIBO-v6hQoEBhzmZ05mKzgYqrsZ0svgsED7IDR4dIVNxc78uc2";
}
}
const ctx = document.getElementById("canvas").getContext("2d");
const spike = new Spike;
console.log(spike.image.width);
<!DOCTYPE html>
<html>
<head>
<link href="css/default.css" rel="stylesheet" />
</head>
<body>
<canvas id="canvas" width="400" height="600"></canvas>
<script src="js/main.js"></script>
</body>
</html>
When the console.log fires, the image hasn't fully loaded yet. You have to check for when the image has loaded
const spike = new Spike;
spike.image.onload = function()
{
console.log(spike.image.width);
}
I need to upload an image and show it in canvas in browser. First time when I upload this image, canvas width and height are zero, but second time the image is appearing correctly? Why?
function previewFile() {
const canvas = document.getElementById('canvas');
const img = document.createElement('img');
const file = document.querySelector('input[type=file]').files[0];
const reader = new FileReader();
reader.addEventListener("load", function () {
img.src = reader.result;
canvas.width = img.width;
canvas.height = img.height;
canvas.getContext("2d").drawImage(img, 0, 0, img.width, img.height);
}, false);
if (file) {
reader.readAsDataURL(file);
}
}
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="./script.js"></script>
<title>Document</title>
</head>
<body>
<input type="file" onchange="previewFile()"><br>
<canvas id="canvas"></canvas>
</body>
</html>
When you setting the image src, it doesn't loaded synchonous, so you have to wait for image load event, and only then draw it on the canvas.
A lot of operations in JS connected with resources are of asynchronous nature, so you have to deal with it.
function previewFile() {
const canvas = document.getElementById('canvas');
const img = document.createElement('img');
const file = document.querySelector('input[type=file]').files[0];
const reader = new FileReader();
reader.addEventListener("load", function () {
img.src = reader.result;
img.onload = function() {
canvas.width = img.width;
canvas.height = img.height;
canvas.getContext("2d").drawImage(img, 0, 0, img.width, img.height);
}
}, false);
if (file) {
reader.readAsDataURL(file);
}
}
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="./script.js"></script>
<title>Document</title>
</head>
<body>
<input type="file" onchange="previewFile()"><br>
<canvas id="canvas"></canvas>
</body>
</html>