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authorjunyanz <junyanz@berkeley.edu>2017-09-24 00:21:17 -0700
committerjunyanz <junyanz@berkeley.edu>2017-09-24 00:21:17 -0700
commitd6d90bffee0bd74826e7700110819f6a35f62611 (patch)
treebdf1a1d2591d986378ea4e79b81d88c7952c0374 /README.md
parent75c16069b6fa395c2dfa740602d088764ff09c14 (diff)
update pool_size 0 for pix2pix
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@@ -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 --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 --pool_size 0
```
- 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`):