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Diffstat (limited to 'run-canny.sh')
| -rwxr-xr-x | run-canny.sh | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/run-canny.sh b/run-canny.sh new file mode 100755 index 0000000..aef1118 --- /dev/null +++ b/run-canny.sh @@ -0,0 +1,91 @@ +dataset="woodcanny" + +#/home/lens/Desktop/dataset-random.pl + +#python datasets/combine_A_and_B.py \ +# --fold_A "$HOME/Desktop/thumbs/$dataset/A" \ +# --fold_B "$HOME/Desktop/thumbs/$dataset/B" \ +# --fold_AB "./datasets/$dataset/" + +python train.py \ + --dataroot "./datasets/$dataset" \ + --name "$dataset" \ + --model pix2pix \ + --loadSize 276 \ + --fineSize 256 \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --lambda_B 100 \ + --dataset_mode aligned \ + --which_epoch latest \ + --continue_train \ + --no_lsgan --norm batch --pool_size 0 + +python canny-cv.py \ + --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \ + --name woodcanny \ + --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \ + --loadSize 256 \ + --fineSize 256 \ + --how_many 200 \ + --model test \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --dataset_mode recursive \ + --norm batch + +python train.py \ + --dataroot "./datasets/$dataset" \ + --name "$dataset" \ + --model pix2pix \ + --loadSize 276 \ + --fineSize 256 \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --lambda_B 100 \ + --dataset_mode aligned \ + --which_epoch latest \ + --continue_train \ + --no_lsgan --norm batch --pool_size 0 + +python canny-cv.py \ + --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \ + --name woodcanny \ + --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \ + --loadSize 256 \ + --fineSize 256 \ + --how_many 200 \ + --model test \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --dataset_mode recursive \ + --norm batch + +python train.py \ + --dataroot "./datasets/$dataset" \ + --name "$dataset" \ + --model pix2pix \ + --loadSize 276 \ + --fineSize 256 \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --lambda_B 100 \ + --dataset_mode aligned \ + --which_epoch latest \ + --continue_train \ + --no_lsgan --norm batch --pool_size 0 + +python canny-cv.py \ + --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \ + --name woodcanny \ + --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \ + --loadSize 256 \ + --fineSize 256 \ + --how_many 200 \ + --model test \ + --which_model_netG unet_256 \ + --which_direction AtoB \ + --dataset_mode recursive \ + --norm batch + +# --aspect_ratio 1.777777 \ |