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dataset="randomcrops100k"
/home/lens/Desktop/dataset-random.pl
python datasets/combine_A_and_B.py \
--fold_A "/home/lens/Desktop/thumbs/$dataset/A" \
--fold_B "/home/lens/Desktop/thumbs/$dataset/B" \
--fold_AB "./datasets/$dataset/"
python train.py \
--dataroot "./datasets/$dataset" \
--name "$dataset" \
--model pix2pix \
--which_model_netG unet_256 \
--which_direction AtoB \
--lambda_B 10 \
--dataset_mode aligned \
--no_lsgan --norm batch --pool_size 0
python test.py \
--dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \
--name "$dataset" \
--start_img "/home/lens/Desktop/thumbs/$dataset/A/train/frame_0000.png" \
--how_many 2000 \
--model test \
--aspect_ratio 1.777777 \
--which_model_netG unet_256 \
--which_direction AtoB \
--dataset_mode recursive \
--norm batch
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