recursive_frac=0.5 tag='spin' dataset='/home/lens/Desktop/woods_videos/processed/dataset/B/' how_many=200 # 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 $recursive_frac \ # --norm batch python test-mogrify.py \ --dataroot "/home/lens/Desktop/woods_videos/processed/dataset/B/train/" \ --start_img "/home/lens/Desktop/woods_videos/processed/dataset/B/test/frame_00003.png" \ --experiment "spin_sequence" \ --name pcfade \ --sequence --sequence-frac 0.999 \ --loadSize 256 --fineSize 256 --how_many 200 \ --model test --which_model_netG unet_256 \ --which_direction AtoB --dataset_mode recursive \ --recursive --recursive-frac 0.0005 \ --norm batch python test-mogrify.py \ --dataroot "$dataset/train/" \ --start_img "$dataset/test/frame_00003.png" \ --experiment "${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 "$dataset/test/frame_00003.png" \ # --experiment "sequence_process_less" \ # --name pcfade \ # --sequence --sequence-frac 0.999 \ # --loadSize 256 --fineSize 256 --how_many 200 \ # --model test --which_model_netG unet_256 \ # --which_direction AtoB --dataset_mode recursive \ # --recursive --recursive-frac 0.0005 \ # --norm batch --tag "pcfade_spin_sequence_process_less_201805150450" \ # --render-frames --mov # python test-mogrify.py \ # --dataroot "$dataset/train/" \ # --start_img "$dataset/test/frame_00003.png" \ # --experiment "${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 "$dataset/test/frame_00003.png" \ # --experiment "${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 "$dataset/test/frame_00003.png" \ # --experiment "${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 "$dataset/test/frame_01003.png" \ # --experiment "${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 "$dataset/test/frame_01003.png" \ # --experiment "${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 "$dataset/test/frame_01003.png" \ # --experiment "${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 "$dataset/test/frame_05003.png" \ # --experiment "${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 "$dataset/train/frame_05005.png" \ # --experiment "${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 "$dataset/train/frame_05005.png" \ # --experiment "${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 "$dataset/test/frame_10003.png" \ # --experiment "${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 "$dataset/train/frame_05005.png" \ # --experiment "${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