NExT VideoLLM Team

Results 40 comments of NExT VideoLLM Team

> First of all, thank you for your training code, but the accuracy obtained in this way is about 69.4. Do you have a pre-train code? If it is convenient...

> Hi, @MingyeXu , > > Thanks for releasing your package. I'd rather to know how you compute the neighbor points of anchor point, e.g. in Fig.5 and Fig.7. Could...

> Thanks for releasing your package. I'd rather to know how you compute the neighbor points of anchor point, e.g. in Fig.5 and Fig.7. Could you release the code for...

> Yes, I want it too. Could you please provide me? Yes, I want it too. Could you please provide me?

> See here https://github.com/hkchengrex/Tracking-Anything-with-DEVA/blob/main/docs/EVALUATION.md#general-arguments > > Use `--amp` After using amp, the memory is still not enough. Is there any other way?

> > See here https://github.com/hkchengrex/Tracking-Anything-with-DEVA/blob/main/docs/EVALUATION.md#general-arguments > > Use `--amp` > > After using amp, the memory is still not enough. Is there any other way? Why does the test go...

> I am not sure if I understand your question. If you just want to run SAM, you should use https://github.com/facebookresearch/segment-anything Ok, thanks!

Thanks for your reply,large scale point cloud dataset have many points,and your algorithm needs to establish multi-scale local neighborhoods at each point,so the Computational complexity is very large,I'm afraid ordinary...

> > Hi,thanks for your interesting work,how to visulize the feature of point cloud extracted?can you provider your code about feature visualization. > > Hi, thanks for your interest. I...