Closed take0212 closed 9 months ago
Thanks for the questions. Currently it only supports inference from two inputs in a batch, and the temporal constraints only apply to training. But I have the plan to add multi-frame inference as well, it could be updated along with training later with journal paper acceptance.
Thanks for your reply.
I look forward to be added multi-frame inference. I also look forward to be added learning.
Thank you for sharing the model files as well.
I look forward to your update announcements.
I have one more request.
Could you please specify the license? I would like a license that allows commercial use.
Thank you very much.
I have one more request.
Could you please specify the license? I would like a license that allows commercial use.
Thank you very much.
It applys Apache License Version 2.0, thank you.
Thank you for defining the license. It is Apache License Version 2.0, so we can use it for commercial purposes. I appreciated you.
You can also add the license file. https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/adding-a-license-to-a-repository
Thank you very much.
Thank you for defining the license. It is Apache License Version 2.0, so we can use it for commercial purposes. I appreciated you.
You can also add the license file. https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/adding-a-license-to-a-repository
Thank you very much.
updated, thanks
Thank you for publishing the code.
Question 1. Is it possible to infer from multiple images? I believe the advantage of TransFlow is that it can be associated for a long time in the time direction. On the other hand, only two images are inputed in line 85 of infer.py.
Question 2. Will the training script be also published?
Thank you in advance for your answer.