想问一下就是用两阶段模型进行训练

[zzz497]

rotated-fcos-1x-dotav1-0-using-pseudo.py 这个文件运行说需要伪标签，point2rbox_v3-pseudo-generator-dotav1-0.py用这个配置文件生成伪标签具体怎么运行，是否需要预训练权重

[mingqian-233]

需要单阶段训练中产生的预训练权重，具体可以参考：https://github.com/VisionXLab/point2rbox-v2/blob/main/configs/point2rbox_v2/README.md 的Two-stages Training，训练方式完全相同（注意修改对应名称）
注意，部分mmrotate源码可能产生的问题：VisionXLab/point2rbox-v2#17

[johnson-magic]

The instructions for the two-stage training and testing are as follows:

# two-stage training (total 2 steps)
## step1: generator pseudo label
CUDA_VISIBLE_DEVICES=0 python tools/test.py configs/point2rbox_v3/point2rbox_v3-pseudo-generator-dotav1-0.py work_dirs/point2rbox_v3-1x-dotav1-0/epoch_12.pth
## step2: start to train
CUDA_VISIBLE_DEVICES=0 python tools/train.py configs/point2rbox_v3/rotated-fcos-1x-dotav1-0-using-pseudo.py

# two-stage test
CUDA_VISIBLE_DEVICES=0 python tools/test.py configs/point2rbox_v3/rotated-fcos-1x-dotav1-0-using-pseudo.py work_dirs/rotated-fcos-1x-dotav1-0-using-pseudo/epoch_12.pth

Thank you for your issue. We have added this content to the README. @zzz497