Get the bounding box coordinates in the TensorFlow object detection API tutorial : <p>I am new to both python and Tensorflow. I am trying to run the object_detection_tutorial file from the <a href="https://github.com/tensorflow/models/tree/master/research/object_detection" rel="noreferrer">Tensorflow Object Detection API</a>,
but I cannot find where I can get the coordinates of the bounding boxes when objects are detected.</p>

<p>Relevant code:</p>

<pre><code> # The following processing is only for single image
        detection_boxes = tf.squeeze(tensor_dict['detection_boxes'], [0])
        detection_masks = tf.squeeze(tensor_dict['detection_masks'], [0])
</code></pre>

<p>...</p>

<p>The place where I assume bounding boxes are drawn is like this:</p>

<pre><code> # Visualization of the results of a detection.
  vis_util.visualize_boxes_and_labels_on_image_array(
      image_np,
      output_dict['detection_boxes'],
      output_dict['detection_classes'],
      output_dict['detection_scores'],
      category_index,
      instance_masks=output_dict.get('detection_masks'),
      use_normalized_coordinates=True,
      line_thickness=8)
  plt.figure(figsize=IMAGE_SIZE)
  plt.imshow(image_np)
</code></pre>

<p>I tried printing output_dict['detection_boxes'] but I am not sure what the numbers mean. There are a lot.</p>

<pre><code>array([[ 0.56213236,  0.2780568 ,  0.91445708,  0.69120586],
       [ 0.56261235,  0.86368728,  0.59286624,  0.8893863 ],
       [ 0.57073039,  0.87096912,  0.61292225,  0.90354401],
       [ 0.51422435,  0.78449738,  0.53994244,  0.79437423],
</code></pre>

<p>......</p>

<pre><code>   [ 0.32784131,  0.5461576 ,  0.36972913,  0.56903434],
   [ 0.03005961,  0.02714229,  0.47211722,  0.44683522],
   [ 0.43143299, 0.09211366,  0.58121657,  0.3509962 ]], dtype=float32)
</code></pre>

<p>I found answers for similar questions, but I don't have a variable called boxes as they do. How can I get the coordinates? Thank you!</p>
