title: How to detect only objects of a specific category in tensorflow object detection
body: <p>The <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb" rel="nofollow noreferrer">object detection notebook</a> demonstrates, how <a href="https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md" rel="nofollow noreferrer">models</a> pretrained on the <a href="http://cocodataset.org/#home" rel="nofollow noreferrer">COCO dataset</a> can be used to detect objects on test images. However, the models in the notebook return boxes for detected objects of all categories in the COCO set. How can I use the code to return boxes for objects of only one category? I.e. How can I get boxes for objects of which the model is sure that they are e.g. persons?  </p>