How to use two models in Tensorflow object Detection API
You cant combine both the models. Have two sections of code which will load one model at a time and identify whatever it can see in the image. 
Other option is to re-train a single model that can identify all objects you are interested in
In tensorflow Object Detection API we are using ssd_mobilenet_v1_coco_2017_11_17 model to detect 90 general objects. I want to use this model for detection.
Next, I have trained faster_rcnn_inception_v2_coco_2018_01_28 model to detect a custom object. I wish to use this in the same code where I will be able to detect those 90 objects as well as my new trained custom object. How to achieve this with single code?