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我正在研究 chrome 扩展。任务是对网页上的图像进行分类。我已经建立了模型，在进行预测之前将图像转换为张量时经常出错。我正在使用document.getElementsByTagName('img'). 这将返回一个对象。然后我tensor = tf.fromPixels(image[0])用来获取张量。

它说 ：

runtime.onMessage 的事件处理程序出错：错误：传递给 tf.fromPixels() 的像素必须是 HTMLVideoElement、HTMLImageElement、HTMLCanvasElement 或 ImageData，但在 pre_process() 处是对象

请帮忙。

编辑：我的代码是：

//to load images
function load_imgs(debug) {
    //for onload images of a webpage
    if(debug == 'static'){
      imgs = document.getElementsByTagName('img');
      console.log('imgs type after get bytag', typeof imgs);
      var imgSrcs = [];

      for (var i = 0; i < imgs.length; i++) {
          imgSrcs.push(imgs[i]);
      }
      console.log('imgSrcs type:', typeof imgSrcs);

      return imgSrcs;
    }
}

将其传递给后台脚本：

//send request to background script,takes image elem ref as input
function back_request(elem_ref){

    console.log('from back_request ' + typeof elem_ref);
    console.log("back_request : ", elem_ref);

    chrome.runtime.sendMessage({
        get_predict: "predict",
        img: elem_ref
    },function (response) {
        console.log(response.prediction_model);
    });
}

这是消息的后台脚本侦听器

//message listner for the prediction
chrome.runtime.onMessage.addListener(
    function (request, sender, sendResponse) {
         console.log(sender.tab ?
             "from a content script:" + sender.tab.url :
             "from the extension");
         if (request.get_predict == "predict") {
             to_predict = request.img;
             console.log('from receive request ', to_predict);
             tensor = pre_process(to_predict); //this generates an error, since i am using tf.fromPixels() method to convert it to a tensor to make a prediction
             ans = predict_str(model, tensor);
             sendResponse({
                 prediction_model: 'Processing'
             });
         }
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