mogrify and so

1 files changed, 14 insertions, 14 deletions

diff --git a/run.sh b/run.sh
index 5f49b7d..05c5eb2 100755
--- a/run.sh
+++ b/run.sh
@@ -1,4 +1,4 @@
-dataset="woodcanny"
+dataset="pcfade"
 
 #/home/lens/Desktop/dataset-random.pl
 
@@ -17,21 +17,21 @@ python train.py \
    --which_direction AtoB  \
    --lambda_B 100  \
    --dataset_mode aligned  \
-   --which_epoch latest \
-   --continue_train \
    --no_lsgan --norm batch --pool_size 0
+#   --which_epoch latest \
+#   --continue_train \
 
-python test.py \
-  --dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \
-  --name "$dataset" \
-  --start_img "/home/lens/Desktop/thumbs/$dataset/A/train/frame_1008.png" \
-  --how_many 1000 \
-  --model test  \
-  --aspect_ratio 1.777777 \
-  --which_model_netG unet_256  \
-  --which_direction AtoB  \
-  --dataset_mode recursive  \
-  --norm batch
+#python test.py \
+#  --dataroot "/home/lens/Desktop/thumbs/$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  \
+#  --norm batch
 #  --loadSize 256 \
 #  --fineSize 256 \