python pretrain.py \
--use_canny 0 \
--data_path ../maske/train/ \
--save_pth ./checkpoint/checkpoint_ori_200.pth \
--batch_size 20 \
--epochs 200 \
--save_ckpt_freq 200 \
--input_size 224 \
--lr 1e-4 \
--step_size 50 \
--gamma 0.7
python pretrain.py
--use_canny 0
--data_path ../archive/masked_1K_train/ori
--save_path ./checkpoint/masked_1K_ori_200.pth
--batch_size 8
--epochs 200
--save_ckpt_freq 200
--input_size 512
--lr 1e-4
--step_size 50
--gamma 0.7
python pretrain.py
--use_canny 1
--data_path ../archive/masked_1K_train/canny
--save_path ./checkpoint/masked_1K_canny_200.pth
--batch_size 8
--epochs 200
--save_ckpt_freq 200
--input_size 512
--lr 1e-4
--step_size 50
--gamma 0.7
python pretrain.py \
--use_canny 0 \
--data_path ../masked_1K_train/ori \
--save_path ./checkpoint/masked_1K_ori_200.pth \
--batch_size 8 \
--epochs 200 \
--save_ckpt_freq 200 \
--input_size 512 \
--lr 1e-4 \
--step_size 50 \
--gamma 0.7
python pretrain.py \
--use_canny 1 \
--data_path ../masked_1K_train/canny \
--save_path ./checkpoint/masked_1K_canny_200.pth \
--batch_size 8 \
--epochs 200 \
--save_ckpt_freq 200 \
--input_size 512 \
--lr 1e-4 \
--step_size 50 \
--gamma 0.7
python demo.py
--chkpt ./checkpoint/masked_1K/masked_1K_ori_200.pth
--data_path ../archive/masked_crop/val/a
--save_path ./output/masked_1K/masked_ori.png
--input_size 512
python demo.py
--chkpt checkpoint/masked_1K/masked_1K_canny_200.pth
--data_path ../archive/masked_crop/canny/val
--save_path ./output/masked_1K/masked_canny.png
--input_size 512
python demo.py
--chkpt ./checkpoint/masked_1K/masked_1K_ori_200.pth
--data_path ../archive/masked_crop/canny/val
--save_path ./output/masked_1K/ori2canny.png
--input_size 512
python demo.py
--chkpt checkpoint/shortcut/checkpoint_canny_200.pth
--data_path ../archive/masked_crop/val/a
--save_path ./output/shortcut/canny2ori.png
--input_size 512
python class.py \
--batch_size 80 \
--epochs 100 \
--save_ckpt_freq 50 \
--ori_ckpt_path ./checkpoint/masked_1K/masked_1K_ori_200.pth \
--canny_ckpt_path ./checkpoint/masked_1K/masked_1K_canny_200.pth \
--lr 1e-3 \
--weight_decay 1e-5 \
--step_size 30 \
--gamma 0.5
python class2.py \
--batch_size 20 \
--epochs 100 \
--save_ckpt_freq 50 \
--ori_ckpt_path ./checkpoint/masked_1K/masked_1K_ori_200.pth \
--canny_ckpt_path ./checkpoint/masked_1K/masked_1K_canny_200.pth \
--lr 1e-3 \
--weight_decay 1e-2 \
--step_size 10 \
--gamma 0.7
python K-fold.py \
--batch_size 32 \
--epochs 100 \
--save_ckpt_freq 50 \
--ori_ckpt_path ./checkpoint/masked_1K_ori_200.pth \
--canny_ckpt_path ./checkpoint/masked_1K_canny_200.pth \
--lr 1e-3 \
--weight_decay 1e-4 \
--step_size 20 \
--gamma 0.6 \
--ori_train_path ../masked_4K/masked/ori \
--canny_train_path ../masked_4K/masked/canny
python K-fold-MMANet.py \
--batch_size 32 \
--epochs 50 \
--save_ckpt_freq 50 \
--lr 5e-4 \
--weight_decay 0 \
--step_size 10 \
--gamma 0.5 \
--ori_train_path ../../autodl-tmp/ori \
--seed 1
python onlyUseOri.py
--batch_size 80
--epochs 200
--save_ckpt_freq 50
--ori_ckpt_path ./checkpoint/masked_1K/masked_1K_ori_200.pth
--canny_ckpt_path ./checkpoint/masked_1K/masked_1K_canny_200.pth
--lr 1e-3
--weight_decay 1e-5
--step_size 30
--gamma 0.5
python onlyUseOri.py 5e-4 128 100 1
python onlyUseCanny.py
--batch_size 80
--epochs 100
--save_ckpt_freq 50
--ori_ckpt_path ./checkpoint/masked_1K/masked_1K_ori_200.pth
--canny_ckpt_path ./checkpoint/masked_1K/masked_1K_canny_200.pth
--lr 1e-3
--weight_decay 1e-5
--step_size 30
--gamma 0.5