title: Nothing is being detected in Tensorflow Object detection API
body: <p>I'm trying to implement Tensorflow object detection API sample. I am following <a href="https://www.youtube.com/watch?v=COlbP62-B-U" rel="nofollow noreferrer">sentdex</a> videos for getting started. The sample code runs perfectly, it also shows the images which are used for testing the results, but no boundaries around detected objects are shown. Just the plane image is displayed without any errors.</p>
  
  <p>I'm using this code: <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb" rel="nofollow noreferrer">This Github link</a>. </p>
  
  <p>This is my result after running the sample code. </p>
  
  <p><a href="https://i.stack.imgur.com/Goa5Y.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Goa5Y.png" alt="enter image description here"></a>  </p>
  
  <p>another image without any detection. </p>
  
  <p><a href="https://i.stack.imgur.com/WPdbd.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/WPdbd.png" alt="enter image description here"></a></p>
  
  <p>What I'm missing here? The code is included in above link and there is no error logs.</p>
  
  <p>Results of box, score, classes, num in that order.</p>
  
  <pre><code>  [[[ 0.74907303  0.14624023  1.          1.        ]
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     15.  44.  44.  49.  31.  56.  88.  28.  88.  52.  17.  32.  38.  75.
      3.  33.  48.  59.  35.  57.  47.  51.  19.  27.  72.   4.  84.   6.
     55.  20.  58.  65.  61.  82.  42.  34.  40.  21.  43.  64.  39.  62.
     36.  22.  79.  46.  16.  40.  41.  77.  16.  48.  78.  77.  89.  86.
     27.   8.  87.   5.  25.  70.  80.  76.  75.  67.  65.  37.   2.   9.
     73.  63.  29.  30.  69.  66.  68.  26.  71.  12.  45.  83.  13.  85.
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  [ 100.]
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     48.  19.  21.  62.  50.   6.   8.   7.  67.  18.  35.  53.  39.  55.
     15.  57.  72.  52.  10.   5.  42.  43.  76.  22.  82.   4.  61.  23.
     17.  16.  87.  62.  51.  60.  36.  58.  59.  33.  31.  54.  70.  11.
     40.  79.  31.   9.  41.  77.  80.  34.  90.  89.  73.  13.  84.  32.
     63.  29.  30.  69.  66.  68.  26.  71.  12.  45.  83.  14.  44.  78.
     85.  46.  47.  19.  65.  74.  37.  27.  63.  88.  28.  81.  86.  75.
     27.  18.]]
  [ 100.]
  </code></pre>
  
  <p><strong>EDIT:</strong> As per suggested answers, it is working when we use <code>faster_rcnn_resnet101_coco_2017_11_08</code> model. But it is more accurate and that's why slower. I want this application with high speed because I'm going to use it in real time (on webcam) object detection. So I need to use faster model (<code>ssd_mobilenet_v1_coco_2017_11_08</code>) </p>