I was just wondering if some one could provide a nice tutorial on how to use the Recent tensor-flow object detection API to train custom network say like VGG-16? (Just USE the VGG-16, VGG-19, Inception-v3 etc as a fixed feature extractor in the Faster RCNN implementation).
From their Documentation I know it can be done. As, am an amateur in AI, I am unsure how to move forward.
P.S: This could really help some keras fans (like me :P) who have A trained CNN in keras. They could just make a .pb file out of it and insert it as a fixed feature detector/extractor in the Tensorflow Object detection API. Voila!!! Now Keras is integrated with the Tensorflow's object detection API