blob: 9add18f7005d243f1fda5692bcc5a09275df9317 (
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recursive_frac=0.5
tag='spin'
dataset='/home/lens/Desktop/woods_videos/processed/combined'
how_many=2000
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_00003.png" \
# --experiment "${tag}_dark" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --clahe --posterize \
# --recursive-frac $recursive_frac \
# --norm batch
# 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_canny" \
# --name pcfade \
# --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 --canny \
# --norm batch
# python test-mogrify.py \
# --dataroot "/home/lens/Desktop/messi_ronaldo_256" \
# --start_img "/home/lens/Desktop/messi_ronaldo_256/frame_00001.png" \
# --experiment "messi_ronaldo" \
# --name woodscaled_4 \
# --recursive --recursive-frac 0.1 \
# --sequence --sequence-frac 0.3 \
# --process-frac 0.5 \
# --how_many 10000 --transition-period 1000 \
# --loadSize 256 --fineSize 256 \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --which_epoch latest \
# --norm batch
python test-mogrify.py \
--dataroot "/home/lens/Desktop/venice" \
--start_img "/home/lens/Desktop/venice/frame_00001.png" \
--experiment "venice" \
--name venice \
--recursive --recursive-frac 0.1 \
--sequence --sequence-frac 0.3 \
--process-frac 0.5 \
--transition-min 0.05 \
--how_many $how_many --transition-period 1000 \
--loadSize 256 --fineSize 256 \
--model test --which_model_netG unet_256 \
--which_direction AtoB --dataset_mode recursive \
--which_epoch latest \
--norm batch
python test-mogrify.py \
--dataroot "/home/lens/Desktop/konigsheide" \
--start_img "/home/lens/Desktop/konigsheide/frame_00001.png" \
--experiment "konigsheide" \
--name konigsheide \
--recursive --recursive-frac 0.1 \
--sequence --sequence-frac 0.3 \
--process-frac 0.5 \
--transition-min 0.01 \
--how_many $how_many --transition-period 1000 \
--loadSize 256 --fineSize 256 \
--model test --which_model_netG unet_256 \
--which_direction AtoB --dataset_mode recursive \
--which_epoch latest \
--norm batch
python test-mogrify.py \
--dataroot "/home/lens/Desktop/venice" \
--start_img "/home/lens/Desktop/venice/frame_00400.png" \
--experiment "konigsheide" \
--name konigsheide \
--recursive --recursive-frac 0.1 \
--sequence --sequence-frac 0.3 \
--process-frac 0.5 \
--transition-min 0.1 \
--how_many $how_many --transition-period 1000 \
--loadSize 256 --fineSize 256 \
--model test --which_model_netG unet_256 \
--which_direction AtoB --dataset_mode recursive \
--which_epoch latest \
--norm batch
python test-mogrify.py \
--dataroot "/home/lens/Desktop/konigsheide" \
--start_img "/home/lens/Desktop/konigsheide/frame_00001.png" \
--experiment "venice" \
--name venice \
--recursive --recursive-frac 0.1 \
--sequence --sequence-frac 0.3 \
--process-frac 0.5 \
--transition-min 0.01 \
--how_many $how_many --transition-period 1000 \
--loadSize 256 --fineSize 256 \
--model test --which_model_netG unet_256 \
--which_direction AtoB --dataset_mode recursive \
--which_epoch latest \
--norm batch
# python test-mogrify.py \
# --dataroot "/home/lens/Desktop/walkermodified/walker5_256/" \
# --start_img "/home/lens/Desktop/walkermodified/walker5_256/frame_00001.png" \
# --experiment "messi_woodscaled4_r2_s5" \
# --name woodscaled_4 \
# --recursive --recursive-frac 0.1 \
# --sequence --sequence-frac 0.3 \
# --process-frac 0.5 \
# --loadSize 256 --fineSize 256 --how_many 2000 \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --which_epoch latest \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset" \
# --start_img "$dataset/frame_00003.png" \
# --experiment "${tag}_sequence" \
# --name pcfade \
# --sequence --sequence-frac 0.999 \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.0005 \
# --norm batch \
# --clahe --process-frac 0.001 \
# --sequence --sequence-frac 0.49 \
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_02003.png" \
# --experiment "sequence_process_less" \
# --name pcfade \
# --sequence --sequence-frac 0.999 \
# --loadSize 256 --fineSize 256 --how_many 200 \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.0005 \
# --norm batch --tag "pcfade_spin_sequence_process_less_201805150450" \
# --render-frames --mov
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_04003.png" \
# --experiment "${tag}_dark_reverse" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction BtoA --dataset_mode recursive \
# --recursive --clahe --posterize \
# --recursive-frac $recursive_frac \
# --sequence \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_08003.png" \
# --experiment "${tag}_sequence_posterize" \
# --name pcfade \
# --sequence \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction BtoA --dataset_mode recursive \
# --recursive --clahe --posterize \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_10003.png" \
# --experiment "${tag}_sequence_blur" \
# --name pcfade \
# --sequence \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction BtoA --dataset_mode recursive \
# --recursive --blur \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_12003.png" \
# --experiment "${tag}_1003" \
# --name pcfade \
# --sequence \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --clahe --posterize \
# --recursive-frac $recursive_frac \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_14003.png" \
# --experiment "${tag}_1003_0_1frac" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.1 \
# --sequence --sequence-frac 0.1 \
# --clahe --posterize \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_16003.png" \
# --experiment "${tag}_1003_0_8frac" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.2 \
# --sequence --sequence-frac 0.3 \
# --clahe --posterize \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_18003.png" \
# --experiment "${tag}_5003" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.1 \
# --sequence --sequence-frac 0.3 \
# --blur --posterize \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/train/frame_20005.png" \
# --experiment "${tag}_5005_rec_poster_blur" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.3 \
# --sequence --sequence-frac 0.2 \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/train/frame_24005.png" \
# --experiment "${tag}_5005_rec_4" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.4 \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/test/frame_26003.png" \
# --experiment "${tag}_10003" \
# --name pcfade \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.5 \
# --clahe --posterize --blur \
# --norm batch
# python test-mogrify.py \
# --dataroot "$dataset/train/" \
# --start_img "$dataset/train/frame_28005.png" \
# --experiment "${tag}_5005_just_copy" \
# --name pcfade --just-copy \
# --loadSize 256 --fineSize 256 --how_many $how_many \
# --model test --which_model_netG unet_256 \
# --which_direction AtoB --dataset_mode recursive \
# --recursive --recursive-frac 0.4 \
# --norm batch
# bash run.sh
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