请问Single-class training中的NMS threshold during pseudo label generation如何调节呢？

感谢优秀的工作和开源的代码🙏
目前希望把efficient teacher用来解决一个single-class detection的问题，看到在readme中提到的For example, if you are conducting single-class detection, then we suggest that the NMS threshold during pseudo label generation be reduced as much as possible。请问这个 NMS threshold during pseudo label generation是哪一个hyper parameters呢？如果不是hyper parameters，请问要怎么调节呢？
谢谢🙏