diudiu

performance gap with pytorch 0.4.1: mIoU 79.99

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Sorry to bother you! I tried to implement the training process using the seg_hrnet_w48_train_512x1024_sgd_lr1e-2_wd5e-4_bs_12_epoch484.yaml. But it came out that the validation mIoU for single-scale and no-flip is 79.99, almost 1%...

Use GPU '0,1,2,3', but only the card 0 is actually used.

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Thanks for your contributions! When I tried to run the train_voc.sh on cityscapes dataset only by changing the '--dataset pascal' to '--dataset cityscapes', it turns out that 4 GPUs are...

Hi, I have met a problem when I tried to train on 2 RTX 8000 GPU card. The first epoch is normal and it prints the log about every 1...