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如何测试浏览器将视频用作画布源的功能

[英]How can I feature test a browser's ability to use video as a canvas source

As some of you might know it's not possible to use HTML5 video as an image source for canvas elements on mobile devices (the video will be opened in an external player instead of the browser). 有些人可能知道,不可能将HTML5 video用作移动设备上canvas元素的图像源(视频将在外部播放器而不是浏览器中打开)。 I need a feature test for that. 我需要进行功能测试。

As I cannot simply check for canvas and video support (as most mobile devices will support both, but not the interaction) I was thinking of doing something like this: 因为我不能简单地检查画布和视频支持(因为大多数移动设备将支持两者,但不支持交互)我正在考虑做这样的事情:

var feature = true;

try {
  var v = document.createElement('video');
  var c = document.createElement('canvas');
  c.getContext('2d').drawImage(v, 0, 0, 100, 100);
} catch (e){
  feature = false;
}

alert(feature);

Yet, it will return true on the iPad, Android will output false . 然而,它会返回true在iPad,Android将输出false I probably assume this is not an iOS Safari bug but a flaw in my feature test, but I simply have no clue of how to approach this. 我可能认为这不是iOS Safari错误,而是我的功能测试中的一个缺陷,但我根本不知道如何处理这个问题。

UPDATE : 更新

So what I ended up with at the moment is the following: 所以我最终得到的结果如下:

var v = document.createElement('video');
var feature = false;

if (v.canPlayType('video/mp4') == 'probably'){

    v.src = 'data:video/mp4;base64,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';

} else {

    v.src = 'data:video/ogg;base64,T2dnUwACAAAAAAAAAABmnCATAAAAAHDEixYBKoB0aGVvcmEDAgEAAQABAAAQAAAQAAAAAAAFAAAAAQAAAAAAAAAAAGIAYE9nZ1MAAAAAAAAAAAAAZpwgEwEAAAACrA7TDlj///////////////+QgXRoZW9yYSsAAABYaXBoLk9yZyBsaWJ0aGVvcmEgMS4xIDIwMDkwODIyIChUaHVzbmVsZGEpAQAAABoAAABFTkNPREVSPWZmbXBlZzJ0aGVvcmEtMC4yOYJ0aGVvcmG+zSj3uc1rGLWpSUoQc5zmMYxSlKQhCDGMYhCEIQhAAAAAAAAAAAAAEW2uU2eSyPxWEvx4OVts5ir1aKtUKBMpJFoQ/nk5m41mUwl4slUpk4kkghkIfDwdjgajQYC8VioUCQRiIQh8PBwMhgLBQIg4FRba5TZ5LI/FYS/Hg5W2zmKvVoq1QoEykkWhD+eTmbjWZTCXiyVSmTiSSCGQh8PB2OBqNBgLxWKhQJBGIhCHw8HAyGAsFAiDgUCw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDw8PDAwPEhQUFQ0NDhESFRUUDg4PEhQVFRUOEBETFBUVFRARFBUVFRUVEhMUFRUVFRUUFRUVFRUVFRUVFRUVFRUVEAwLEBQZGxwNDQ4SFRwcGw4NEBQZHBwcDhATFhsdHRwRExkcHB4eHRQYGxwdHh4dGxwdHR4eHh4dHR0dHh4eHRALChAYKDM9DAwOExo6PDcODRAYKDlFOA4RFh0zV1A+EhYlOkRtZ00YIzdAUWhxXDFATldneXhlSFxfYnBkZ2MTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTExMTEhIVGRoaGhoSFBYaGhoaGhUWGRoaGhoaGRoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhoaGhESFh8kJCQkEhQYIiQkJCQWGCEkJCQkJB8iJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQkJCQREhgvY2NjYxIVGkJjY2NjGBo4Y2NjY2MvQmNjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRUVFRISEhUXGBkbEhIVFxgZGxwSFRcYGRscHRUXGBkbHB0dFxgZGxwdHR0YGRscHR0dHhkbHB0dHR4eGxwdHR0eHh4REREUFxocIBERFBcaHCAiERQXGhwgIiUUFxocICIlJRcaHCAiJSUlGhwgIiUlJSkcICIlJSUpKiAiJSUlKSoqEBAQFBgcICgQEBQYHCAoMBAUGBwgKDBAFBgcICgwQEAYHCAoMEBAQBwgKDBAQEBgICgwQEBAYIAoMEBAQGCAgAfF5cdH1e3Ow/L66wGmYnfIUbwdUTe3LMRbqON8B+5RJEvcGxkvrVUjTMrsXYhAnIwe0dTJfOYbWrDYyqUrz7dw/JO4hpmV2LsQQvkUeGq1BsZLx+cu5iV0e0eScJ91VIQYrmqfdVSK7GgjOU0oPaPOu5IcDK1mNvnD+K8LwS87f8Jx2mHtHnUkTGAurWZlNQa74ZLSFH9oF6FPGxzLsjQO5Qe0edcpttd7BXBSqMCL4k/4tFrHIPuEQ7m1/uIWkbDMWVoDdOSuRQ9286kvVUlQjzOE6VrNguN4oRXYGkgcnih7t13/9kxvLYKQezwLTrO44sVmMPgMqORo1E0sm1/9SludkcWHwfJwTSybR4LeAz6ugWVgRaY8mV/9SluQmtHrzsBtRF/wPY+X0JuYTs+ltgrXAmlk10xQHmTu9VSIAk1+vcvU4ml2oNzrNhEtQ3CysNP8UeR35wqpKUBdGdZMSjX4WVi8nJpdpHnbhzEIdx7mwf6W1FKAiucMXrWUWVjyRf23chNtR9mIzDoT/6ZLYailAjhFlZuvPtSeZ+2oREubDoWmT3TguY+JHPdRVSLKxfKH3vgNqJ/9emeEYikGXDFNzaLjvTeGAL61mogOoeG3y6oU4rW55ydoj0lUTSR/mmRhPmF86uwIfzp3FtiufQCmppaHDlGE0r2iTzXIw3zBq5hvaTldjG4CPb9wdxAme0SyedVKczJ9AtYbgPOzYKJvZZImsN7ecrxWZg5dR6ZLj/j4qpWsIA+vYwE+Tca9ounMIsrXMB4Stiib2SPQtZv+FVIpfEbzv8ncZoLBXc3YBqTG1HsskTTotZOYTG+oVUjLk6zhP8bg4RhMUNtfZdO7FdpBuXzhJ5Fh8IKlJG7wtD9ik8rWOJxy6iQ3NwzBpQ219mlyv+FLicYs2iJGSE0u2txzed++D61ZWCiHD/cZdQVCqkO2gJpdpNaObhnDfAPrT89RxdWFZ5hO3MseBSIlANppdZNIV/Rwe5eLTDvkfWKzFnH+QJ7m9QWV1KdwnuIwTNtZdJMoXBf74OhRnh2t+OTGL+AVUnIkyYY+QG7g9itHXyF3OIygG2s2kud679ZWKqSFa9n3IHD6MeLv1lZ0XyduRhiDRtrNnKoyiFVLcBm0ba5Yy3fQkDh4XsFE34isVpOzpa9nR8iCpS4HoxG2rJpnRhf3YboVa1PcRouh5LIJv/uQcPNd095ickTaiGBnWLKVWRc0OnYTSyex/n2FofEPnDG8y3PztHrzOLK1xo6RAml2k9owKajOC0Wr4D5x+3nA0UEhK2m198wuBHF3zlWWVKWLN1CHzLClUfuoYBcx4b1llpeBKmbayaR58njtE9onD66lUcsg0Spm2snsb+8HaJRn4dYcLbCuBuYwziB8/5U1C1DOOz2gZjSZtrLJk6vrLF3hwY4Io9xuT/ruUFRSBkNtUzTOWhjh26irLEPx4jPZL3Fo3QrReoGTTM21xYTT9oFdhTUIvjqTkfkvt0bzgVUjq/hOYY8j60IaO/0AzRBtqkTS6R5ellZd5uKdzzhb8BFlDdAcrwkE0rbXTOPB+7Y0FlZO96qFL4Ykg21StJs8qIW7h16H5hGiv8V2Cflau7QVDepTAHa6Lgt6feiEvJDM21StJsmOH/hynURrKxvUpQ8BH0JF7BiyG2qZpnL/7AOU66gt+reLEXY8pVOCQvSsBtqZTNM8bk9ohRcwD18o/WVkbvrceVKRb9I59IEKysjBeTMmmbA21xu/6iHadLRxuIzkLpi8wZYmmbbWi32RVAUjruxWlJ//iFxE38FI9hNKOoCdhwf5fDe4xZ81lgREhK2m1j78vW1CqkuMu/AjBNK210kzRUX/B+69cMMUG5bYrIeZxVSEZISmkzbXOi9yxwIfPgdsov7R71xuJ7rFcACjG/9PzApqFq7wEgzNJm2suWESPuwrQvejj7cbnQxMkxpm21lUYJL0fKmogPPqywn7e3FvB/FCNxPJ85iVUkCE9/tLKx31G4CgNtWTTPFhMvlu8G4/TrgaZttTChljfNJGgOT2X6EqpETy2tYd9cCBI4lIXJ1/3uVUllZEJz4baqGF64yxaZ+zPLYwde8Uqn1oKANtUrSaTOPHkhvuQP3bBlEJ/LFe4pqQOHUI8T8q7AXx3fLVBgSCVpMba55YxN3rv8U1Dv51bAPSOLlZWebkL8vSMGI21lJmmeVxPRwFlZF1CpqCN8uLwymaZyjbXHCRytogPN3o/n74CNykfT+qqRv5AQlHcRxYrC5KvGmbbUwmZY/29BvF6C1/93x4WVglXDLFpmbapmF89HKTogRwqqSlGbu+oiAkcWFbklC6Zhf+NtTLFpn8oWz+HsNRVSgIxZWON+yVyJlE5tq/+GWLTMutYX9ekTySEQPLVNQQ3OfycwJBM0zNtZcse7CvcKI0V/zh16Dr9OSA21MpmmcrHC+6pTAPHPwoit3LHHqs7jhFNRD6W8+EBGoSEoaZttTCZljfduH/fFisn+dRBGAZYtMzbVMwvul/T/crK1NQh8gN0SRRa9cOux6clC0/mDLFpmbarmF8/e6CopeOLCNW6S/IUUg3jJIYiAcDoMcGeRbOvuTPjXR/tyo79LK3kqqkbxkkMRAOB0GODPItnX3Jnxro/25Ud+llbyVVSN4ySGIgHA6DHBnkWzr7kz410f7cqO/Syt5KqpFVJwn6gBEvBM0zNtZcpGOEPiysW8vvRd2R0f7gtjhqUvXL+gWVwHm4XJDBiMpmmZtrLfPwd/IugP5+fKVSysH1EXreFAcEhelGmbbUmZY4Xdo1vQWVnK19P4RuEnbf0gQnR+lDCZlivNM22t1ESmopPIgfT0duOfQrsjgG4tPxli0zJmF5trdL1JDUIUT1ZXSqQDeR4B8mX3TrRro/2McGeUvLtwo6jIEKMkCUXWsLyZROd9P/rFYNtXPBli0z398iVUlVKAjFlY437JXImUTm2r/4ZYtMy61hf16RPJIU9nZ1MABAwAAAAAAAAAZpwgEwIAAABhp658BScAAAAAAADnUFBQXIDGXLhwtttNHDhw5OcpQRMETBEwRPduylKVB0HRdF0A';

}


var c = document.createElement('canvas');
c.width = c.height = 50;
var ctx = c.getContext('2d');

v.play();

var async = setTimeout(function(){

    ctx.drawImage(v,0,0);
    var data = ctx.getImageData(0, 0, 50, 50).data;
    feature = (Math.max.apply(Math, data) > 0);
    v.pause();


}, 50);

At least it finally produces the correct output on iOS, yet there are two more problems: 至少它最终会在iOS上产生正确的输出,但还有两个问题:

  • it is async 它是异步的
  • firefox will (sometimes) fail, complaining about SecurityError: The operation is insecure. firefox会(有时)失败,抱怨SecurityError: The operation is insecure. at var data = ctx.getImageData(0, 0, 50, 50).data what does not really make sense to me. at var data = ctx.getImageData(0, 0, 50, 50).data对我来说真的没什么意义。

Any ideas on that? 有什么想法吗?

You could try using a video which has a certain pixel at a certain area, say a black pixel at the top left corner. 您可以尝试使用在特定区域具有特定像素的视频,例如左上角的黑色像素。 Then feed the video into the canvas and load just one frame. 然后将视频输入画布并仅加载一帧。 Then check if you can retrieve that pixel on the canvas using getImageData . 然后检查是否可以使用getImageData在画布上检索该像素。

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