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dataset="woodflowfixed"
#/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 \
--continue_train \
--which_epoch latest \
--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
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