when I use VOC2012 dataset for my project shows the bug : "FloatingPointError: Predicted boxes or scores contain Inf/NaN. Training has diverged."
this means the loss is extremely big, how can I solve it?
Environment:
CUDA 12 RTX3090 detectorn2:V6.0 torch : 2.1.0.dev20230708+cu121
I had the same issue as well, but i got it while training voc 2007 on detectron2 from scratch. I think its fine because when you train model like detectron2 without pretrained weights its hard to converge.
Instructions To Reproduce the 🐛 Bug:
when I use VOC2012 dataset for my project shows the bug : "FloatingPointError: Predicted boxes or scores contain Inf/NaN. Training has diverged." this means the loss is extremely big, how can I solve it?
Environment:
CUDA 12 RTX3090 detectorn2:V6.0 torch : 2.1.0.dev20230708+cu121