javascript – 在Chrome中操作图像时内存泄漏
内容导读
互联网集市收集整理的这篇技术教程文章主要介绍了javascript – 在Chrome中操作图像时内存泄漏，小编现在分享给大家，供广大互联网技能从业者学习和参考。文章包含20449字，纯文字阅读大概需要30分钟。
内容图文
我在Chrome中遇到了以下2(巨大的！)内存泄漏：
>使用新字节编辑现有图像的’src’时
>使用clone()克隆图像时
请注意,在Internet Explorer中没有任何内存泄漏！
一些背景：我正在开发一个项目,其中外部摄像头提供图像的实时馈送(假设每秒100帧).
该项目的主要3个功能是：
>玩现场直播
>记录实时馈送
>显示录制的Feed
欢迎您下载以下独立代码(只需将其保存为“leak.html”并执行),并亲眼看看：
<!DOCTYPE html>
<html>
<body>
<canvas id="meCanvas" width="526" height="395"></canvas>
<script src="http://code.jquery.com/jquery-2.0.3.min.js" type="text/javascript"> </script>
<script>
var meContext = document.getElementById("meCanvas").getContext("2d");
// Bytes array representing a chair image
var chairImgSrc = "data:image/png;base64,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";
var image = new Image();
image.onload = drawNewImage;
var RECORD_LEN = 20;
var recordedImages = new Array(RECORD_LEN);
var count = 0;
function drawNewImage() {
meContext.clearRect(0, 0, meContext.canvas.width, meContext.canvas.height);
meContext.drawImage(image, 0, 0, meContext.canvas.width, meContext.canvas.height);
setTimeout(nextImage, 10); // Simulates 100 frames per second
}
function drawOldImage() {
var curImage = count % RECORD_LEN; // Cyclic loop over the array
meContext.clearRect(0, 0, meContext.canvas.width, meContext.canvas.height);
meContext.drawImage(recordedImages[curImage], 0, 0, meContext.canvas.width, meContext.canvas.height);
setTimeout(nextImage, 10); // Simulates 100 frames per second
}
function nextImage() {
count++;
if (count <= 1000) // Phase I (during first 10 seconds): use live camera feed
{
// Generating a random image src (Just for this example!!, instead of using the real camera feed)
var newImgSrc = chairImgSrc.slice(0, -11) + ("00000" + count).slice(-6) + "/2Q==";
// (CHROME MEMORY LEAK #1: editing the 'src' of an existing image with new bytes creates a new memory that never gets released)
image.src = newImgSrc;
// Cloning the image, to keep a recorded array of the last N frames
var $tmpImage = $(image);
// (CHROME MEMORY LEAK #2: clone() creates a new memory that never gets released
var clonedImage = $tmpImage.clone()[0];
recordedImages[count % RECORD_LEN] = clonedImage;
}
else // Phase II: use recorded feed
{
drawOldImage();
}
}
window.onload = nextImage;
</script>
</body>
</html>
这个示例代码采用静态图像(椅子)并每帧随机修改它(只是为了模拟我的真实相机提要).
对于前1000帧,它显示图像,并将最后10帧存储在循环阵列中,从那时起它只显示最后记录的10帧(在循环中).
(显然我的真实项目要复杂得多,我只是简化它以说明问题).
问题是 – 请建议另一种方法(最好 – 基于提供的源代码)来执行完全相同的功能,而不会导致Chrome中的内存泄漏.
PS 1：
在铬中我发现了以下2个相关的错误,这些错误并没有真正修复(证据 – 我的代码仍然泄漏……)：
>“通过javascript操纵img src将产生大量内存泄漏” – https://code.google.com/p/chromium/issues/detail?id=36142
>“更改img.src时内存使用量无限增长” – https://code.google.com/p/chromium/issues/detail?id=114570
PS 2：
我完全了解stackoverflow中现有的类似问题,我做了很多尝试,但没有一个能帮助我解决我的问题：
> Rapidly updating image with Data URI causes caching, memory leak
> Canvas even Img eating RAM and CPU
> Refresh image with a new one at the same url
> Setting img.src to dataUrl Leaks Memory
> Memory leak when loading images with javascript’s settimeout
我做了一些尝试,例如：
>为了确保缓存不是原因,我使用Chrome的隐身模式,因此缓存在这里不相关.
>我没有将字节数组设置为src,而是尝试使用blob URL(但仍会发生类似的泄漏)：
> img.src = window.URL.createObjectURL(new Blob([bytes.buffer],{type：“image / jpeg”}));
>尝试将图像放在iframe中,每X帧重新加载一次：这部分有帮助,但实际上我不可能使用这种“变通方法”.
*更新29 / Jan *
我替换了以下几行：
var $tmpImage = $(image);
var clonedImage = $tmpImage.clone()[0];
附：
var clonedImage = new Image();
clonedImage.src = newImgSrc;
泄漏是一样的.
=>因此,我只需要’只’一个需要解决方法的错误(在2个地方)：编辑图像的src时出现泄漏.
解决方法:
我有同样的问题.我找到的唯一解决方法是减少要使用的新Image()的数量(理想情况是一个)：
function ImageLoader() {
var img = new Image();
var queue = [];
var lock = false;
var lastURL;
var lastLoadOk;
return { load: load };
function load(url, callback, errorCallback) {
if (lock) return queue.push(arguments);
lock = true;
if (lastURL === url) return lastLoadOk ? onl oad() : one rror();
lastURL = url;
img.onload = onl oad;
img.onerror = one rror;
img.src = url;
function onl oad() {
lastLoadOk = true;
callback(img);
oncomplete();
}
function one rror() {
lastLoadOk = false;
if (errorCallback) errorCallback(url);
oncomplete();
}
}
function oncomplete() {
lock = false;
if (queue.length) load.apply(null, queue.shift());
}
}
var loader = new ImageLoader();
loader.load(url1, function(img) { // do something });
loader.load(url2, function(img) { // do something });
请注意,图像将以系列形式加载.如果要并行加载2个图像,则需要实例化2个ImageLoader.
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