Hi, I'm currently reproducing your work, but cannot find the code related to regional prompt learning.
Can u tell me where the code for preprocessing and training of regional prompt learning is? ( Sorry I'm new to mmdetection so it's hard to search ..)
Thanks!

I try to download the images using the script, but many images failed to download (maybe the network proxy).

Thanks.
Jiaheng.

Hi, thanks for your great work. I would like to ask how long it takes to train a model, and how many GPUs do you use? Thank you.

I must to change the PromptBBoxHead if I want to train my own dataset.
But the (category_embeddings.pt) need a (category_and_description.txt),
So I want to know how you generated category descriptions for your dataset？

when run tools/test.py KeyError: 'PromptDet is not in the models registry', how to fix? thanks

请问现在提供的config文件来训练的话，是否就对应论文里 不加self-training的部分呢，也就是table2的regional prompt learning的实验结果？
谢谢

when try to install mmdet==2.16.0., It will be automatically installed mmcv-full==1.7.1. It‘s impossible to satisfy mmcv-full<1.4.0.
Can you release all your version information in your conda environment？

Thanks for your nice work and precious time!
Could you give some examples on how to train the model using existing config files in the configs/promptdet?

Hi,

Thank you for sharing your work. I would to like know the training configurations used in your baseline reported in Table 2 in your paper. The implementation details in the paper specifies 1x schedule with lr of 0.02. However, the samples_per_gpu is set to 4 in the shared configuration,

Could you please specify the the number of GPU's and the batch size and corresponding lr used in your baseline.

Thank you.

Hi,
Thank you for sharing your amazing work.

Can you please share the embeddings used for COCO evaluation ? The LVIS-v1 has only 59 categories common with COCO. Otherwise could you share the learned 1 + 1 prompt vectors so it may be used in any dataset.

Thank you.

In the process of reproducing your work, I found that there were only inference code of lvis validation dataset in the inference section. I would like to ask if there are any scripts to implement single image inference or single video inference?

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.

Can you publish the logs of the model training?