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train_wss.sh
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45 lines (45 loc) · 7.91 KB
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python -u train_fully_supervised_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/FullySupervisedSeg --max_iterations 60000 --batch_size 12 &
python -u train_fully_supervised_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/FullySupervisedSeg --max_iterations 60000 --batch_size 12 &
python -u train_fully_supervised_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/FullySupervisedSeg --max_iterations 60000 --batch_size 12 &
python -u train_fully_supervised_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/FullySupervisedSeg --max_iterations 60000 --batch_size 12 &
python -u train_fully_supervised_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/FullySupervisedSeg --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_GatedCRFLoss_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_GatedCRFLoss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_GatedCRFLoss_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_GatedCRFLoss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_GatedCRFLoss_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_GatedCRFLoss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_GatedCRFLoss_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_GatedCRFLoss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_GatedCRFLoss_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_GatedCRFLoss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_Entropy_Mini_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_EntMini --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_Entropy_Mini_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_EntMini --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_Entropy_Mini_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_EntMini --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_Entropy_Mini_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_EntMini --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_Entropy_Mini_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_EntMini --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_MumfordShah_Loss_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_MumfordShah_Loss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_MumfordShah_Loss_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_MumfordShah_Loss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_MumfordShah_Loss_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_MumfordShah_Loss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_MumfordShah_Loss_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_MumfordShah_Loss --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_MumfordShah_Loss_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_MumfordShah_Loss --max_iterations 60000 --batch_size 12 &
python -u train_s2l.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_Scribble2Label_pCE --max_iterations 60000 --batch_size 12 &
python -u train_s2l.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_Scribble2Label_pCE --max_iterations 60000 --batch_size 12 &
python -u train_s2l.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_Scribble2Label_pCE --max_iterations 60000 --batch_size 12 &
python -u train_s2l.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_Scribble2Label_pCE --max_iterations 60000 --batch_size 12 &
python -u train_s2l.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_Scribble2Label_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_ustm_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_USTM_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_ustm_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_USTM_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_ustm_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_USTM_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_ustm_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_USTM_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_ustm_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_USTM_pCE --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_random_walker_2D.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Random_Walker --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_random_walker_2D.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Random_Walker --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_random_walker_2D.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Random_Walker --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_random_walker_2D.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Random_Walker --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_pCE_random_walker_2D.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Random_Walker --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_segmentation_pCE_ours_proposed.py --fold fold1 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Proposed --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_segmentation_pCE_ours_proposed.py --fold fold2 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Proposed --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_segmentation_pCE_ours_proposed.py --fold fold3 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Proposed --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_segmentation_pCE_ours_proposed.py --fold fold4 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Proposed --max_iterations 60000 --batch_size 12 &
python -u train_weakly_supervised_segmentation_pCE_ours_proposed.py --fold fold5 --num_classes 4 --root_path ../data/ACDC --exp ACDC/WeaklySeg_pCE_Proposed --max_iterations 60000 --batch_size 12