作者你好，想请教一下 mmdetection 在使用 DALI 上是否OK？目前 DALI 有 Pytorch DataLoader 但是没有 mmdet 的，我看了一圈，github 上很少这方面的结合，想请教下你的经验，谢谢！

另，这行 import 没有找到对应的文件，请问是否已经删除了？

Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

Attention: please create a new virtual environment for OpenMMLab 2.0.

“Our experi- ments show that MixTraining can appreciably improve the performance of leading object detectors such as Faster R-CNN [24] with a ResNet-50 [13] backbone (from 41.7 mAP to 44.0 mAP) and Cascade R-CNN [1] with the Swin-Transformer [22] backbone (from 50.9 mAP to 52.8 mAP).”

1.usually，the map of faster-rcnn-r50 map is 36.5, so what's the difference?

"All the models run on 32×Nvidia V100."

2. 32 means 32G or 4x8?
3. 180K means how much epochs?

Hi, I am interested in migrating this feature into mmdetection.
Is it okay to proceed?

Hi, thanks for your wonderful work! When do you release the source code for the paper？

Hi, thanks for your wonderful work. I have a question about your paper that In your paper, you mention that strong augmentation should be applied on targets that can be easily trained on. Whether you do not apply strong augmentation on targets that may be hardly trained on and only use weak data augmentation on them？