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-rwxr-xr-xrun.sh6
-rwxr-xr-xrun100k.sh2
-rw-r--r--test-mogrify-recursive.sh8
-rw-r--r--test-mogrify.py2
4 files changed, 10 insertions, 8 deletions
diff --git a/run.sh b/run.sh
index 05c5eb2..ec1cd20 100755
--- a/run.sh
+++ b/run.sh
@@ -11,15 +11,15 @@ python train.py \
--dataroot "./datasets/$dataset" \
--name "$dataset" \
--model pix2pix \
- --loadSize 276 \
+ --loadSize 264 \
--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
-# --which_epoch latest \
-# --continue_train \
#python test.py \
# --dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \
diff --git a/run100k.sh b/run100k.sh
index 1ad9e77..451ba30 100755
--- a/run100k.sh
+++ b/run100k.sh
@@ -13,7 +13,7 @@ python train.py \
--model pix2pix \
--which_model_netG unet_256 \
--which_direction AtoB \
- --lambda_B 100 \
+ --lambda_B 10 \
--dataset_mode aligned \
--no_lsgan --norm batch --pool_size 0
diff --git a/test-mogrify-recursive.sh b/test-mogrify-recursive.sh
index 25c3d01..861fda4 100644
--- a/test-mogrify-recursive.sh
+++ b/test-mogrify-recursive.sh
@@ -19,13 +19,15 @@ how_many=200
python test-mogrify.py \
--dataroot "/home/lens/Desktop/woods_videos/processed/combined" \
--start_img "/home/lens/Desktop/woods_videos/processed/combined/frame_00003.png" \
- --experiment "spin_sequence" \
+ --experiment "spin_sequence_blur" \
--name pcfade \
- --sequence --sequence-frac 0.3 \
- --recursive --recursive-frac 0.4 \
+ --sequence --sequence-frac 0.04 \
+ --recursive --recursive-frac 0.3 \
+ --process-frac 0.5 \
--loadSize 256 --fineSize 256 --how_many 200 \
--model test --which_model_netG unet_256 \
--which_direction AtoB --dataset_mode recursive \
+ --blur \
--norm batch
diff --git a/test-mogrify.py b/test-mogrify.py
index 9dcae86..be74ba8 100644
--- a/test-mogrify.py
+++ b/test-mogrify.py
@@ -93,7 +93,7 @@ if __name__ == '__main__':
processed = True
img = cv2.Canny(img, data_opt.canny_lo, data_opt.canny_hi)
- if processed is False:
+ if processed is False or data_opt.process_frac == 0:
return img
src_img = im[:, :, ::-1].copy()