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dataset="randomcrops5k"
#/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 "$dataset" \
# --model pix2pix \
# --loadSize 256 \
# --fineSize 256 \
# --which_model_netG unet_256 \
# --which_direction AtoB \
# --lambda_B 100 \
# --dataset_mode aligned \
# --no_lsgan --norm batch --pool_size 0 \
# --continue_train
python test.py \
--dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \
--name "$dataset" \
--start_img "/home/lens/Desktop/thumbs/$dataset/A/train/frame_1008.png" \
--how_many 1000 \
--model test \
--aspect_ratio 1.777777 \
--which_model_netG unet_256 \
--which_direction AtoB \
--dataset_mode recursive \
--loadSize 256 \
--fineSize 256 \
--norm batch
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