我使用Fabric来处理非常大的图像(20mb+)。我发现,与使用标准canvas相比,Fabric在处理画布中的大型图像时要慢得多。
下面的代码片段有两个输入按钮,一个用于使用标准canvas向画布添加图像,另一个使用Fabric。每个方法还将使用toDataUrl()
将画布转换为数据url。每个方法还记录三次:启动时间、img.onload函数完成的时间和toDataUrl()
完成的时间。
下面是比较我测试过的不同图像大小的import+export时间的表:500 to至50 to照片的导入时间
以下是显示织物import+export时间与Canvas:图表性能的图表
问题:
// Standard Import
function handleFiles(e) {
var t0 = performance.now();
console.log('Standard Import')
console.log('Start Time: ', Math.round(t0/1000))
var promise = new Promise(function(resolve) {
var URL = window.webkitURL || window.URL;
var ctx = document.getElementById('canvas').getContext('2d');
canvas = document.getElementById('canvas');
var url = URL.createObjectURL(e.target.files[0]);
var img = new Image();
img.onload = function() {
canvas.width = img.width;
canvas.height = img.height;
ctx.drawImage(img, 0, 0);
resolve("done")
};
img.src = url;
});
promise.then(function(result) {
var t1 = performance.now()
console.log('Done img.onload() Elapsed Time: ', Math.round(t1 - t0)/1000);
var dataURL = canvas.toDataURL('image/png')
return
}).then(function(result){
t2 = performance.now()
console.log('Done canvas.ToDataURL() Elapsed Time: ', Math.round(t2 - t0)/1000)
return
});
}
// Fabric Import
function handleFilesFabric(e) {
var t0 = performance.now();
console.log('Fabric Import')
console.log('Start Time: ', Math.round(t0/1000))
var promise = new Promise(function(resolve) {
var canvas = new fabric.Canvas('canvas');
var reader = new FileReader();
reader.onload = function (event){
var imgObj = new Image();
imgObj.src = event.target.result;
imgObj.onload = function () {
var image = new fabric.Image(imgObj);
canvas.setHeight(imgObj.height);
canvas.setWidth(imgObj.width);
canvas.add(image);
canvas.renderAll();
canvas.forEachObject(function(object){
object.selectable = false;
});
resolve("done")
}
}
reader.readAsDataURL(e.target.files[0]);
});
promise.then(function(result) {
var t1 = performance.now()
console.log('Done img.onload() Elapsed Time: ', Math.round(t1 - t0)/1000);
var dataURL = canvas.toDataURL('image/png')
return
}).then(function(result){
t2 = performance.now()
console.log('Done canvas.ToDataURL() Elapsed Time: ', Math.round(t2 - t0)/1000)
return
});
}
window.onload = function() {
// Standard Import
var input = document.getElementById('input');
input.addEventListener('change', handleFiles, false);
// Fabric Import
var input2 = document.getElementById('input2');
input2.addEventListener('change', handleFilesFabric, false);
};
canvas {
border: 2px solid;
}
<!DOCTYPE html>
<html lang="en" >
<head>
<meta charset="UTF-8">
<title>Upload & Display Image w/ Canvas</title>
<link rel="stylesheet" href="css/style.css">
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/fabric.js/2.4.3/fabric.min.js"></script>
</head>
<body>
<h1> Upload & Display Image</h1>
<canvas width="400" height="400" id="canvas"></canvas>
<br>
<b>Standard Add Image</b><br>
<input type="file" id="input"/>
<br>
<b>Fabric Add Image</b><br>
<input type="file" id="input2"/>
<script src="js/index.js"></script>
</body>
</html>
发布于 2018-11-14 12:29:46
为了更公平起见,我对代码进行了一些重构:加载图像的方式相同,这两个事件都在两个不同的画布上运行。
此外,还删除用于此测试的其他fabricJS功能,这些功能没有意义。我认为对于更大的图像,差异应该更小,你能尝试一下大图像的片段吗?
顺便说一下,您不能将文件中的URL.createObjectUrl与dataUrl上的文件读取器进行比较。只是不公平。createObjectUrl在内存中创建对您上传的文件的引用。
ReadAsDataUrl读取文件,在base64中编码,创建一个string对象,然后浏览器必须再次读取该字符串,从base64解码。
区别还可能在于fabricJS使用drawImage和9个args绘制图像,而您使用的是3 args版本。
// Standard Import
fabric.Object.prototype.objectCaching = false;
function handleFiles(e) {
var t0 = performance.now();
var promise = new Promise(function(resolve) {
var URL = window.webkitURL || window.URL;
var ctx = document.getElementById('canvas').getContext('2d');
canvas = document.getElementById('canvas');
var url = URL.createObjectURL(e.target.files[0]);
var img = new Image();
img.onload = function() {
console.log('Standard Import')
console.log('Start Time: ', Math.round(t0/1000))
canvas.width = img.width;
canvas.height = img.height;
ctx.drawImage(img, 0, 0);
resolve("done")
};
img.src = url;
});
promise.then(function(result) {
var t1 = performance.now()
console.log('Done img.onload() Elapsed Time: ', Math.round(t1 - t0)/1000);
var dataURL = canvas.toDataURL('image/png')
return
}).then(function(result){
t2 = performance.now()
console.log('Done canvas.ToDataURL() Elapsed Time: ', Math.round(t2 - t0)/1000)
return
});
}
// Fabric Import
function handleFilesFabric(e) {
var t0 = performance.now();
var canvas = new fabric.StaticCanvas('canvas2', {enableRetinaScaling: false, renderOnAddRemove: false });
var promise = new Promise(function(resolve) {
var reader = new FileReader();
var URL = window.webkitURL || window.URL;
var url = URL.createObjectURL(e.target.files[0]);
var imgObj = new Image();
imgObj.onload = function () {
console.log('Fabric Import')
console.log('Start Time: ', Math.round(t0/1000))
var image = new fabric.Image(imgObj);
canvas.setDimensions({ width: imgObj.width, height: imgObj.height});
canvas.add(image);
resolve("done")
}
imgObj.src = url;
});
promise.then(function(result) {
var t1 = performance.now()
console.log('Done img.onload() Elapsed Time: ', Math.round(t1 - t0)/1000);
canvas.renderAll();
var dataURL = canvas.lowerCanvasEl.toDataURL('image/png')
return
}).then(function(result){
t2 = performance.now()
console.log('Done canvas.ToDataURL() Elapsed Time: ', Math.round(t2 - t0)/1000)
return
});
}
window.onload = function() {
// Standard Import
var input = document.getElementById('input');
input.addEventListener('change', handleFiles, false);
input.addEventListener('change', handleFilesFabric, false);
};
canvas {
border: 2px solid;
}
<!DOCTYPE html>
<html lang="en" >
<head>
<meta charset="UTF-8">
<title>Upload & Display Image w/ Canvas</title>
<link rel="stylesheet" href="css/style.css">
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/fabric.js/2.4.3/fabric.min.js"></script>
</head>
<body>
<h1> Upload & Display Image</h1>
<canvas width="400" height="400" id="canvas"></canvas>
<canvas width="400" height="400" id="canvas2"></canvas>
<br>
<b>Standard Add Image</b><br>
<input type="file" id="input"/>
<br>
</body>
</html>
https://stackoverflow.com/questions/53267113
复制相似问题