diff options
| author | junyanz <junyanz@berkeley.edu> | 2017-07-19 17:15:31 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-07-19 17:15:31 -0700 |
| commit | d0cb4094e94065316a756c40f1aaa2667a9ccfe8 (patch) | |
| tree | 6ea850bb46fa5b2452be9ba8f476f0817eddf588 /README.md | |
| parent | 9d4e8ce330cbbedeec478586f0e5398ad3205f94 (diff) | |
update README (use_dropout -> no_dropout)
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 8 |
1 files changed, 4 insertions, 4 deletions
@@ -69,13 +69,13 @@ bash ./datasets/download_cyclegan_dataset.sh maps - Train a model: ```bash #!./scripts/train_cyclegan.sh -python train.py --dataroot ./datasets/maps --name maps_cyclegan --model cycle_gan +python train.py --dataroot ./datasets/maps --name maps_cyclegan --model cycle_gan --no_dropout ``` - To view training results and loss plots, run `python -m visdom.server` and click the URL http://localhost:8097. To see more intermediate results, check out `./checkpoints/maps_cyclegan/web/index.html` - Test the model: ```bash #!./scripts/test_cyclegan.sh -python test.py --dataroot ./datasets/maps --name maps_cyclegan --model cycle_gan --phase test +python test.py --dataroot ./datasets/maps --name maps_cyclegan --model cycle_gan --phase test --no_dropout ``` The test results will be saved to a html file here: `./results/maps_cyclegan/latest_test/index.html`. @@ -87,7 +87,7 @@ bash ./datasets/download_pix2pix_dataset.sh facades - Train a model: ```bash #!./scripts/train_pix2pix.sh -python train.py --dataroot ./datasets/facades --name facades_pix2pix --model pix2pix --which_model_netG unet_256 --which_direction BtoA --lambda_A 100 --dataset_mode aligned --use_dropout --no_lsgan --norm batch +python train.py --dataroot ./datasets/facades --name facades_pix2pix --model pix2pix --which_model_netG unet_256 --which_direction BtoA --lambda_A 100 --dataset_mode aligned --no_lsgan --norm batch ``` - To view training results and loss plots, run `python -m visdom.server` and click the URL http://localhost:8097. To see more intermediate results, check out `./checkpoints/facades_pix2pix/web/index.html` - Test the model (`bash ./scripts/test_pix2pix.sh`): @@ -103,7 +103,7 @@ More example scripts can be found at `scripts` directory. If you would like to apply a pre-trained model to a collection of input photos (without image pairs), please use `--dataset_mode single` and `--model test` options. Here is a script to apply a pix2pix model to facade label maps (stored in the directory `facades/testB`). ``` bash #!./scripts/test_single.sh -python test.py --dataroot ./datasets/facades/testB/ --name facades_pix2pix --model test --which_model_netG unet_256 --which_direction BtoA --dataset_mode single --use_dropout +python test.py --dataroot ./datasets/facades/testB/ --name facades_pix2pix --model test --which_model_netG unet_256 --which_direction BtoA --dataset_mode single ``` ## Training/test Details |
