把一个base64编码的图片绘制到canvas (canvas的图片在转成dataurl)

把一个base64编码的图片绘制到canvas

需要引入jquery.

 

<canvas id="myCanvas" width="800" height="800">canvas>

<script>

    var imgbase64 = "data:image/jpeg;base64,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    img = new Image();
    img.src=imgbase64;
    let myCanvas =$("#myCanvas").get(0);

    myCanvas.getContext('2d').drawImage(img,0,0);
    myCanvas.getContext('2d').fillText("32中文132",50,50);
script>

 

canvas的图片在转成dataurl

console.log(myCanvas.toDataURL('image/png'));

 

相关: https://www.cnblogs.com/fps2tao/p/9268613.html

 

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