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command.txt
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command.txt
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LULU:
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoint ./checkpoints/Gradient > Gradient.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoint ./checkpoints/Gradient > Gradient.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/tune_parameters > ./checkpoints/tune_parameters/tune.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE > ./checkpoints/ADV_L1_STYLE/record.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC > ./checkpoints/ADV_L1_STYLE_PERC/record_adv3.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC_FM > ./checkpoints/ADV_L1_STYLE_PERC_FM/record.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC_ADV3 > ./checkpoints/ADV_L1_STYLE_PERC_ADV3/record.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC_ADV5 > ./checkpoints/ADV_L1_STYLE_PERC_ADV5/record.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC_ADV10 > ./checkpoints/ADV_L1_STYLE_PERC_ADV10/record.out &
nohup /home/lulu/anaconda2/envs/cuda9/bin/python3 train.py --checkpoints ./checkpoints/ADV3_L1_STYLE3_PERC > ./checkpoints/ADV3_L1_STYLE3_PERC/record1.out &
./checkpoints/tune_parameters/ex3_L1_13.484269_ADV_30.525771_Style_1.034876_Perc_155.314466_Grad_0.000000_FM_32.331865
------------------------------------------------------------------------------------------------------------------------------------------
nohup python3 train.py --checkpoints ./checkpoints/ADV_STYLE_PERC > ./checkpoints/ADV_STYLE_PERC/record.out &
CUDA_VISIBLE_DEVICES=0 nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test >> test_1b_2 &
CUDA_VISIBLE_DEVICES=1 nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test_4b >> test_4b &
CUDA_VISIBLE_DEVICES=1 nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test_fuse >> test_fuse &
--checkpoints ./checkpoints/tune_parameters
nohup python3 train.py --model 3 --checkpoints ./checkpoints/sub_pixel >> subpixel.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/sub_pixel_0.001 >> subpixel_1.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/unet >> unet.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/subpixel/sub_pixel_2b >> subpixel_2b.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/subpixel/sub_pixel_3b >> subpixel_3b.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/subpixel/sub_pixel_1b >> subpixel_1b.out &
nohup python3 test.py --model 3 --path ./checkpoints/sub_pixel >> test_mask1.out &
Test And Wathch Image:
python3 test.py --checkpoints ./checkpoints/unet --input ./examples/places2/images --mask ./examples/places2/masks --output ./test_results
python3 test.py --checkpoints ./checkpoints/subpixel/sub_pixel_4b --input ./tip/raw --mask ./tip/mask --output ./test_results
python3 test.py --checkpoints ./checkpoints/Celeba_block1 --input ./ICONIP2020/CelebA/damaged --mask ./ICONIP2020/CelebA/mask --output ./ICONIP2020/CelebA/test_results
python3 test.py --checkpoints ./checkpoints/ADV_L1_STYLE_PERC --input ./tip/raw --mask ./tip/mask --output ./tip/output
Test:
python3 test.py --path ./checkpoints/ADV_L1_STYLE_PERC_ADV3
python3 test.py --path ./checkpoints/loss/ADV_1_L1_1
python3 test.py --model 3 --path ./checkpoints/unet
nohup tensorboard --logdir ./checkpoints &
python ./scripts/flist.py --path path_to_places2_train_set --output ./datasets/places2_train.flist
python ./scripts/flist.py --path path_to_places2_train_set --output ./datasets/places2_edges_val.flist
python ./scripts/flist.py --path path_to_places2_train_set --output ./datasets/masks_test.flist
python3 ./scripts/flist.py --path /home/lulu/Dataset/MaskSize1 --output ./datasets/masks_test1.flist
python3 ./scripts/flist.py --path /home/lulu/Dataset/MaskSize1 --output ./datasets/masks_test1.flist
python3 ./scripts/flist.py --path /disk2/Dataset/Mask/IrregularHoles --output ./datasets/mask_train.flist
python3 ./scripts/flist.py --path /disk2/Dataset/img_align_celeba/ --celeba /disk2/Dataset/list_eval_partition.txt
------------------------------------------------------------------------------------------------------------------------------------------
TEST
CUDA_VISIBLE_DEVICES=0 nohup python3 train.py --model 1 --checkpoints ./checkpoints/edge/edge_tune >> edge_tune.out &
CUDA_VISIBLE_DEVICES=0 nohup python3 train.py --model 1 --checkpoints ./checkpoints/edge/edge_test >> edge_test.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_tune >> color_tune.out &
CUDA_VISIBLE_DEVICES=1 nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test >> color_test.out &
nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test_new >> color_test_new.out &
CUDA_VISIBLE_DEVICES=1 nohup python3 test.py --model 3 --path ./checkpoints/color/color_test >> test.out &
CUDA_VISIBLE_DEVICES=1 python3 test.py --model 3 --path ./checkpoints/color/color_test
CUDA_VISIBLE_DEVICES=0 nohup python3 test.py --model 3 --path ./checkpoints/color/color_test >> test2.out &
CUDA_VISIBLE_DEVICES=1 nohup python3 train.py --model 3 --checkpoints ./checkpoints/color/color_test >> color_test &
CUDA_VISIBLE_DEVICES=0 nohup python3 train.py --model 1 --checkpoints ./checkpoints/edge/edge_test >> edge_test &
非SWUST区域 学校SWUST区域映射端口
54.254.158.233 11111 10.10.4.140 22 SSH访问
54.254.158.233 11112 10.10.4.140 8888 Jupyter
54.254.158.233 11113 10.10.4.140 6006 Tensorborad
python3 test.py \
--path ./checkpoints
--checkpoints ./checkpoints/places2
--input ./examples/places2/images
--mask ./examples/places2/masks
--output ./checkpoints/results
python3 test.py --checkpoints ./checkpoints/places2 --input ./examples/places2/images --mask ./examples/places2/masks --output ./checkpoints/results