Hello,
Thanks for your contribution and work. But I have the problem of reproducing the results:
I use the following command:
python3 tools/solve_gta5.py --gpu "0" --backbone "deeplabv2_multi" --dataset 'cityscapes' --checkpoint_dir "./log/gta2city_AdaptSegNet_ST=0.1_maxsquare_round=5/" --pretrained_ckpt_file "./pretrained_model/GTA5_source.pth" --round_num 5 --target_mode "maxsquare" --freeze_bn False --weight_decay 5e-4 --lr 2.5e-4 --lambda_target 0.1
And I see the INFO:
Checkpoint loaded successfully from ./pretrained_model/GTA5_source.pth
However, I run the experiments for 5 times, but the highest performance I get is only 43.0%, while the reported result is 44.3%.
I am wondering whether some others successfully reproduce the results and whether there are any hints.
Hello,
Thanks for your contribution and work. But I have the problem of reproducing the results:
I use the following command:
python3 tools/solve_gta5.py --gpu "0" --backbone "deeplabv2_multi" --dataset 'cityscapes' --checkpoint_dir "./log/gta2city_AdaptSegNet_ST=0.1_maxsquare_round=5/" --pretrained_ckpt_file "./pretrained_model/GTA5_source.pth" --round_num 5 --target_mode "maxsquare" --freeze_bn False --weight_decay 5e-4 --lr 2.5e-4 --lambda_target 0.1
And I see the INFO:
Checkpoint loaded successfully from ./pretrained_model/GTA5_source.pth
However, I run the experiments for 5 times, but the highest performance I get is only 43.0%, while the reported result is 44.3%.
I am wondering whether some others successfully reproduce the results and whether there are any hints.