Low segmentation mAPs.

[WaitingForTheWind]

Hello, I set num_points to 25 in the default config file configs/dense_reppoints/dense_reppoints_729pts_r50_fpn_1x.py , and tried your code to train the model with the modified config file. I tested the model with tools/test.py, and got 17.6 segm mAP which is much lower than the one reported in the paper(24.5). Besides, I got 38.0 box mAP which is close to the one reported(38.7).

How can I reproduce the results in the paper? Looking forward to your reply. Thank you！