小编Mar*_*aou的帖子

我正在尝试淡入导航栏并在滚动到页面底部时粘到顶部.它的淡化效果仅在第一次起作用.我的代码如下.

 <style type="text/css">
     .navOpacity{
        opacity: 0;
     }    
   </style>

  <script type="text/javascript">
   $(document).ready(function(){

     $(window).scroll(function(){

       var ht = $('header').height()+70;

       if($(this).scrollTop() >= ht){
          $("#navb").addClass("navbar-fixed-top navOpacity")
           .fadeTo('slow','1');
          $(".row:first").css("padding-top","50px");
       }else{
          $("#navb").removeClass("navbar-fixed-top navOpacity");
          $(".row:first").css("padding-top","0px");
       }

     });

    });

  </script>

   <div class="container">

        <header class="page-header"> 
         <h1>Hello world</h1>
         </header>

        <nav id="navb" class="navbar navbar-default">

         <div class="navbar-header">
            <button type="button" class="navbar-toggle" 
             data-toggle="collapse" data-target="#myNavbar">
              <span class="icon-bar"></span>
              <span class="icon-bar"></span>
              <span class="icon-bar"></span>                     
            </button>
           <a class="navbar-brand" href="#">WebSiteName</a>
         </div>

         <div class="collapse navbar-collapse" id="myNavbar">

            <ul class="nav navbar-nav">
             <li class="active"><a href="#">Home</a></li>
             <li class="dropdown">
              <a class="dropdown-toggle"
                  data-toggle="dropdown" href="#">Page 1
                   <span class="caret"></span>
                </a> …

我正在尝试使用CNN对狗的繁殖鉴定进行分类.我已将图像转换为灰度并重新缩放它们以便缩小尺寸.所以现在我试图将它们添加到numpy数组中并进行训练.此外,我将使用Relu激活功能,因为它可以很好地与多层和不同类别的狗繁殖的分类交叉熵.

以下是灰度和重新缩放的代码:

def RescaleGrayscaleImg():

    # iterate through the names of contents of the folder
    for image_path in os.listdir(path):

        # create the full input path and read the file
        input_path = os.path.join(path, image_path)

        # make image grayscale
        img = io.imread(input_path)
        img_scaled = rescale(img, 2.0 / 4.0)
        GrayImg = color.rgb2gray(img_scaled)

        # create full output path, 'example.jpg' 
        # becomes 'grayscaled_example.jpg', save the file to disk
        fullpath = os.path.join(outPath, 'grayscaled_'+image_path)
        misc.imsave(fullpath, GrayImg)

我将如何将图像转换为数组？每列都是一张图片？任何帮助都会有所帮助.