new scripts using canny

1 files changed, 91 insertions, 0 deletions

diff --git a/run-canny.sh b/run-canny.sh
new file mode 100755
index 0000000..aef1118
--- /dev/null
+++ b/run-canny.sh
@@ -0,0 +1,91 @@
+dataset="woodcanny"
+
+#/home/lens/Desktop/dataset-random.pl
+
+#python datasets/combine_A_and_B.py \
+#  --fold_A "$HOME/Desktop/thumbs/$dataset/A" \
+#  --fold_B "$HOME/Desktop/thumbs/$dataset/B" \
+#  --fold_AB "./datasets/$dataset/"
+
+python train.py \
+   --dataroot "./datasets/$dataset" \
+   --name "$dataset" \
+   --model pix2pix  \
+   --loadSize 276 \
+   --fineSize 256 \
+   --which_model_netG unet_256  \
+   --which_direction AtoB  \
+   --lambda_B 100  \
+   --dataset_mode aligned  \
+   --which_epoch latest \
+   --continue_train \
+   --no_lsgan --norm batch --pool_size 0
+
+python canny-cv.py \
+  --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \
+  --name woodcanny \
+  --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \
+  --loadSize 256 \
+  --fineSize 256 \
+  --how_many 200 \
+  --model test  \
+  --which_model_netG unet_256  \
+  --which_direction AtoB  \
+  --dataset_mode recursive  \
+  --norm batch
+
+python train.py \
+   --dataroot "./datasets/$dataset" \
+   --name "$dataset" \
+   --model pix2pix  \
+   --loadSize 276 \
+   --fineSize 256 \
+   --which_model_netG unet_256  \
+   --which_direction AtoB  \
+   --lambda_B 100  \
+   --dataset_mode aligned  \
+   --which_epoch latest \
+   --continue_train \
+   --no_lsgan --norm batch --pool_size 0
+
+python canny-cv.py \
+  --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \
+  --name woodcanny \
+  --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \
+  --loadSize 256 \
+  --fineSize 256 \
+  --how_many 200 \
+  --model test  \
+  --which_model_netG unet_256  \
+  --which_direction AtoB  \
+  --dataset_mode recursive  \
+  --norm batch
+
+python train.py \
+   --dataroot "./datasets/$dataset" \
+   --name "$dataset" \
+   --model pix2pix  \
+   --loadSize 276 \
+   --fineSize 256 \
+   --which_model_netG unet_256  \
+   --which_direction AtoB  \
+   --lambda_B 100  \
+   --dataset_mode aligned  \
+   --which_epoch latest \
+   --continue_train \
+   --no_lsgan --norm batch --pool_size 0
+
+python canny-cv.py \
+  --dataroot /home/ubuntu/Desktop/thumbs/wood/B/train/ \
+  --name woodcanny \
+  --start_img /home/ubuntu/Desktop/thumbs/wood/B/train/frame_00100.png \
+  --loadSize 256 \
+  --fineSize 256 \
+  --how_many 200 \
+  --model test  \
+  --which_model_netG unet_256  \
+  --which_direction AtoB  \
+  --dataset_mode recursive  \
+  --norm batch
+
+#  --aspect_ratio 1.777777 \