zem-joshua118

Hi author, I'm using RTX2080TI, 12G, gpu for training. The dataset used: crowdAI 20% of the original size, 60,000 images for training, the Using this network: crowdai-small_hrnet48.yaml But it still...

Ok, thanks for the reply, I've solved the problem! It works successfully on single GPU. Now my computer is with two GPUs (3080) and I want to train on multiple...

cuda is compatible with pytorch and it has been able to run successfully on a single GPU successfully. It just doesn't run successfully on dual GPUs (both GPUs are idle)

In the terminal, it gets stuck at index created! 

Okay, thanks for the answer.

I have installed the Boundary IoU API as per README  ，and modified it according to these  ，But running tese.py still gives me the following error