I am trying to use ssd_inception_v2_coco pre-trained model from Tensorflow API by training it with a single class dataset and also applying Transfer Learning. I trained the net for around 20k steps(total loss around 1) and using the checkpoint data, I created the inference_graph.pb and used it in the detection code.
To my surprise, when I tested the net with the training data the graph is not able to detect even 1 out of 11 cases (0/11). I am lost in finding the issue. What might be the possibile mistake?.
P.S : I am not able to run train.py and eval.py at the same time, due to memory issues. So, I don't have info about precision from tensorboard
Has anyone faced similar kind of issue?