title: Is there a way to limit an existing TensorFlow object detection model?
body: <p>On the tensorflow/models repo on GitHub, they supply five pre-trained models for object detection.</p>
  
  <p>These models are trained on the COCO dataset and can identify 90 different objects.</p>
  
  <p>I need a model to just detect people, and nothing else. I can modify the code to only print labels on people, but it will still look for the other 89 objects, which takes more time than just looking for one object.  </p>
  
  <p>I can train my own model, but I would rather be able to use a pre-trained model, instead of spending a lot of time training my own model.</p>
  
  <p>So is there a way, either by modifying the model file, or the TensorFlow or Object Detection API code, so it only looks for a single object?</p>