未捕获（承诺）DOMException：无法在“WebGL2RenderingContext”上执行“texImage2D”：可能无法加载受污染的画布

Question

'''
<html>
<head>  
<meta charset="UTF-8"> 
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
<!-- Load Posenet -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/posenet"></script>
</head>

<body>
<img id='cat' src='cat.jpg '/>
</body>
<!-- Place your code in the script tag below. You can also use an external .js file -->
<script>
var flipHorizontal = false;

var imageElement = document.getElementById('cat');

posenet.load().then(function(net) {
const pose = net.estimateSinglePose(imageElement, {
flipHorizontal: true
});
return pose;
}).then(function(pose){
console.log(pose);
})
</script>
</html>
'''

以上是我正在使用 tensorflow js 尝试posenet 的html 文件。 以下是我尝试在 google chrome 中打开上述文件时收到的错误。

Uncaught (in promise) DOMException: Failed to execute 'texImage2D' on 'WebGL2RenderingContext': Tainted canvases may not be loaded.
at https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:176404
at qt (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:55726)
at vi (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:176377)
at t.uploadPixelDataToTexture (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:181200)
at Object.kernelFunc (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:480876)
at h (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:42226)
at https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:42907
at t.scopedRun (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:40845)
at t.runKernelFunc (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:42726)
at t.runKernel (https://cdn.jsdelivr.net/npm/@tensorflow/tfjs:2:41280)

以下是在firefox中打开html文件时的错误

'''
SecurityError: The operation is insecure.
Source map error: Error: request failed with status 404
Resource URL: https://cdn.jsdelivr.net/npm/@tensorflow/tfjs
Source Map URL: tf.min.js.map 
'''

我是初学者，无法理解上述错误。 我试图从浏览器中的控制台获取姿势坐标，但我一直收到此错误。

任何帮助将不胜感激，并提前致谢。

Answer 1

crossorigin='anonymous'需要在图片标签中添加

 <html> <head> <meta charset="UTF-8"> <!-- Load TensorFlow.js --> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script> <!-- Load Posenet --> <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/posenet"></script> </head> <body> <img id='cat' src='https://i.imgur.com/jlFgGpe.jpg' crossorigin='anonymous' /> </body> <!-- Place your code in the script tag below. You can also use an external .js file --> <script> var flipHorizontal = false; var imageElement = document.getElementById('cat'); posenet.load().then(function(net) { const pose = net.estimateSinglePose(imageElement, { flipHorizontal: true }); return pose; }).then(function(pose) { console.log(pose); }) </script> </html>

要在本地使用图像，图像需要由允许 cors 的服务器提供服务。 http-server 可以与命令行一起使用

http-server -c1 --cors .

<html>

<head>
    <meta charset="UTF-8">
    <!-- Load TensorFlow.js -->
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
    <!-- Load Posenet -->
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/posenet"></script>
</head>

<body>
    <img id='cat' src=' http://127.0.0.1:8080/temp.png' crossorigin="anonymous" />
</body>
<!-- Place your code in the script tag below. You can also use an external .js file -->
<script>

    var flipHorizontal = false;

    var imageElement = document.getElementById('cat');

    imageElement.crossOrigin = "Anonymous";

    posenet.load().then(function (net) {
        const pose = net.estimateSinglePose(imageElement, {
            flipHorizontal: true
        });
        return pose;
    }).then(function (pose) {
        console.log(pose);
    })
</script>

</html>

Answer 2

我的react 应用程序和tensorflow.js也遇到了同样的问题，但我才意识到我缺少edkeveked提到的crossOrigin道具或属性。 所以我通过修改img标签解决了我的问题，并将属性或属性crossOrigin如下：

<img crossOrigin='anonymous' ... />

edkeveked的回答是最好的

祝你好运✔✔✨✨

未捕获（承诺）DOMException：无法在“WebGL2RenderingContext”上执行“texImage2D”：可能无法加载受污染的画布

问题描述

2 个解决方案

解决方案1
12 已采纳 2020-01-04 12:26:25

解决方案2
0 2020-11-22 04:53:21

未捕获（承诺）DOMException：无法在“WebGL2RenderingContext”上执行“texImage2D”：可能无法加载受污染的画布

问题描述

2 个解决方案

解决方案1 12 已采纳 2020-01-04 12:26:25

解决方案2 0 2020-11-22 04:53:21

解决方案1
12 已采纳 2020-01-04 12:26:25

解决方案2
0 2020-11-22 04:53:21