Question

所以我正在开发一个管理用户书签的Chrome扩展程序。我想要做的是显示一个框（div），显示与每个书签相关联的图像及其下面的名称。我能够获得标题和网址的工作。但我无法检索与每个书签关联的图标。

有人能告诉我怎么做吗？

作为参考，我的JS文件是：

function list_bookmarks(bookmarks){
var i;
for ( i=0; i<bookmarks.length ; i++) {

  console.log("Works" + i);
  var current_bookmark = bookmarks[i];
  if(current_bookmark.url) { 

  var icon = document.createElement('div');
  icon.id = "pict";
  icon.style.backgroundImage = current_bookmark.FAVICON; // Something here *
  document.body.appendChild(icon);

  var item = document.createElement('a');
  item.className = 'block';
  var linkText = document.createTextNode(current_bookmark.title);
  item.appendChild(linkText);
  item.title = current_bookmark.title;
  item.href = current_bookmark.url;
  document.body.appendChild(item);


   console.log(current_bookmark.title);    }
 if(current_bookmark.children){  list_bookmarks(current_bookmark.children);}                

}

 }


window.onload = function(){ 
console.log("Listing Bookmarks Now :");
chrome.bookmarks.getTree(function(list){

   list_bookmarks(list);    

 });
  };

非常感谢你。:)

Answer 1

将batch = 128 # size of the batch x = tf.placeholder("float32", [None, n_steps, n_input]) y = tf.placeholder("float32", [None, n_classes]) # with a capacity of 100 batches, the bottleneck should not be the data feeding queue = tf.RandomShuffleQueue(capacity=100*batch, min_after_dequeue=80*batch, dtypes=[tf.float32, tf.float32], shapes=[[n_steps, n_input], [n_classes]]) enqueue_op = queue.enqueue_many([x, y]) X_batch, Y_batch = queue.dequeue_many(batch) sess = tf.Session() def load_and_enqueue(data): while True: X, Y = data.get_next_batch(batch) sess.run(enqueue_op, feed_dict={x: X, y: Y}) train_thread = threading.Thread(target=load_and_enqueue, args=(data)) train_thread.daemon = True train_thread.start() for _ in xrange(max_iter): sess.run(train_op)添加到chrome://favicon/

permissions

manifest.json

有关详细信息，请参阅Issue 45474。

显示书签图标

1 个答案: