daigang896

0.25

Hello. Train on a NVIDIA RTX A6000 48G card. When the batchsize is increased, the speed of each iteration becomes slow. But the GPU memory is sufficient, but the speed...

Thanks, I'll try it.

@glenn-jocher @Laughing-q Hello， More --workers values did not work. The set --workers==--batchsize=16 did not find that the training speed of each iteration was faster. The CPU utilization is low. I...

@glenn-jocher Try -- cache ram found insufficient memory, try -- cache disk found no improvement in training speed.

Hello. At present, the training speed has been significantly improved and the problem has been solved by updating the card driver, cuda, cudnn and pytorch, and using yolov5 6.2 code.

Hello. It is not to improve the accuracy, but not to understand that the detection results obtained from similar images are different. I want to have a deeper understanding of...

The image is not damaged and can be read by opencv alone.