RAM Memory usage during evaluation

[FrancescoRosa3]

Hi everyone.
I am running the test.py file on a laptop with Ubuntu16 and 8 GB of RAM, under python 3.6, with a number of workers equal to 1.
During the evaluation step, I observed a strange behavior, that is the RAM space taken from the script grows without any stop.
After some analysis of the graspnet_eval.py:eval_scene method, it seems that once the evaluation of a scene is completed the loaded models, for the given scene, are not deallocated.
I would like to know if this behavior is intentional or not.
Thanks for your kind.

[GouMinghao]

Thanks for your issue, this is not a problem of graspnet-baseline.
Instead, it might be a bug in graspnetAPI. I will try to reproduce you problem and find the solution.