[Bug] The RTMDet offical config and checkpoint can't reach the mAP in paper？

[yhl2018]

Prerequisite

• [X] I have searched Issues and Discussions but cannot get the expected help.
• [X] I have read the FAQ documentation but cannot get the expected help.
• [X] The bug has not been fixed in the latest version (master) or latest version (1.x).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

1.x branch https://github.com/open-mmlab/mmrotate/tree/1.x

Environment

System environment: sys.platform: linux Python: 3.7.4 (default, Aug 13 2019, 20:35:49) [GCC 7.3.0] CUDA available: True numpy_random_seed: 73201663 GPU 0: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.2, V11.2.142 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with:

GCC 7.3

C++ Version: 201402

Reproduces the problem - code sample

python test.py --config configs/rotated_rtmdet/rotated_rtmdet_l-coco_pretrain-3x-dota_ms.py
--checkpoint rotated_rtmdet_l-coco_pretrain-3x-dota_ms-06d248a2.pth

Reproduces the problem - command or script

python test.py --config configs/rotated_rtmdet/rotated_rtmdet_l-coco_pretrain-3x-dota_ms.py
--checkpoint rotated_rtmdet_l-coco_pretrain-3x-dota_ms-06d248a2.pth

Reproduces the problem - error message

the result the DOTA evaluation sever returned：80.37，There are a total of 71888 test set slices.

Additional information

No response

[202004061408]

hello,did you solve it？ I tested on ss, mAP is only 0.7770, not up to 0.7885.