declare -a datasets=("blended_wood_canny_leaves" "blended_wood_canny_typical" "blended_wood_canny_more_edges_poorly_trained")
declare -a checkpoints=("messi" "randomcrops100k" "randomcrops_30000_4" "randomcrops5k" "woodscaled" "woodscaled_4")

basedir="/home/lens/code/torch-warp/"

for ds in "${datasets[@]}"
do

bs=$(basename $ds)

for i in "${checkpoints[@]}"
do
 echo $ds
 echo $i

  python test.py  \
    --dataroot "${basedir}${ds}/256/"\
    --name $i --mov "${bs}_warp_${i}" \
    --model test --dataset_mode single --experiment woodwarp \
    --which_model_netG unet_256 --which_direction AtoB \
    --loadSize 256 --fineSize 256 --norm batch --how_many 10000

done

done