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 \