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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_0000.png" \
+  --how_many 500 \
+  --model test  \
+  --aspect_ratio 1.777777 \
+  --which_model_netG unet_256  \
+  --which_direction AtoB  \
+  --dataset_mode recursive  \
+  --loadSize 264 \
+  --center_crop \
+  --fineSize 256 \
+  --norm batch
+
+