Shivani Mall
Shivani Mall
thanks for the response @eleramp will try out and update.
https://github.com/bulletphysics/bullet3/discussions/3844 in case you have support for this already, please let me know!
Hi @mmatl - I saw that viewer.py has option to run_in_thread I am wondering if there is a similar option for renderer.py otherwise, where would you recommend adding the threading...
many thanks @avisingh599 - I set one of the split_by but I see the same curve repeated thrice. also tried playing with diff combinations of`split_by` to `exp_name`, and still got...
I think this was a bug or possible api change? changing the call to get_observations() worked
Hi @justachetan @riponazad in case you have written out a training script in torch, I wanted to see if it is possible to make it available? (I wanted to compare...
Thanks for the great work, and thanks @nikitakaraevv for sharing these instructions here. Perhaps, useful to cross-reference on kubric as well.
thank you for sharing these! I will leave this issue open, as I may follow back here with further questions, plus share my training time stats results, and in case...
also, I understand that TAPIR is a test-time adaptation / refinement method, so is the loss referred in sec 3.2 (noted above) applied at test-time?
thank you for clarifying. I wanted to also clarify whether loss is applied for all the refinement iterations together? It seems that the refined values from all iterations are returned...