Understanding NMS from the frozen graph

[Nishant-DN]

In model.pb NMS used is different from that of the conventional one. Usually, we choose a score threshold of 0.5 to select the boxes and then will perform NMS to get rid of the redundant boxes with some predefined NMS threshold. But here we will be doing NMS first and then will select the boxes with scores greater than 0.5. Why it is done like that?. Also how are you selecting 200 boxes after NMS? Can you please enlighten us about the process being followed for the NMS. What is the importance of the Tensorarray with 149 values like 10,44,47 and so on? How it affects the NMS?

Any help would be appreciated!!!