title: How to run multiple classification models (keras, caffe, etc) in a single tensorflow session?
body: <p>I am trying to run a object detection model (SSD+Inceptionv2) and getting bounding boxes as result. After getting the bounding boxes from a frame, later that cropped images should be passes through different classification models (which were trained on different libraries like keras and caffe) and get prediction results. </p>
  
  <p>Here I am getting bounding boxes from object detection model in a tensorflow session and when trying to use any other models predict method, that predict method is expecting tensoflow object detection input by default. Because of this classification models predict method is not working. </p>
  
  <p>Any idea on how to run different classification models on object detection output bounding boxes (cropped images)?</p>