Testing result

[peiyingxin]

Hi, I have runnd faster_rcnn_res50 for detection and mask_rcnn_res50 for segmentation, all configs are same with paper, I got bbox_mAP 40.8 and segm_mAP 36.6, witch is a gap with paper bbox_mAP 42.0 and segm_mAP 37.8.
I want to know your benchmark running once or several times pick out best results?
Thank your~

[yzd-v]

If there is no problem with your codes and environment. It's very easy to get 42.0 with fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py. Many users have run this result for many times.

[peiyingxin]

If there is no problem with your codes and environment. It's very easy to get 42.0 with fgd_cascade_mask_rcnn_rx101_32x4d_distill_faster_rcnn_r50_fpn_2x_coco.py. Many users have run this result for many times.

Hi,here is my training log.Is there something wrong?
20220811_145318.log

[yzd-v]

The first 2 epochs seem right. Maybe now you have run the accurate results?

[peiyingxin]

Yep

[yzd-v]

So what's the problem before? Maybe others can also meet this problem.

[peiyingxin]

Training parameters problem.Using big batch 28 -> 88,but using small lr 0.02.