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| author | Taesung Park <taesung_park@berkeley.edu> | 2017-04-20 03:06:17 -0700 |
|---|---|---|
| committer | Taesung Park <taesung_park@berkeley.edu> | 2017-04-20 03:06:17 -0700 |
| commit | baa154d611b8d8d4104b40a767d643cac3f52dec (patch) | |
| tree | 9e4012f9031d3bc97f3e39130d0322bffcfb9e88 | |
| parent | 5b177789285aced41c690d5f0d4b412e17693c22 (diff) | |
Added the default server address for visdom
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -88,7 +88,7 @@ More example scripts can be found at `scripts` directory. ## Training/test Details - See `options/train_options.py` and `options/base_options.py` for training flags; see `optoins/test_options.py` and `options/base_options.py` for test flags. - CPU/GPU: Set `--gpu_ids -1` to use CPU mode; set `--gpu_ids 0,1,2` for multi-GPU mode. -- During training, you can visualize the result of current training. If you set `--display_id 0`, we will periodically save the training results to `[opt.checkpoints_dir]/[opt.name]/web/`. If you set `--display_id` > 0, the results will be shown on a local graphics web server launched by [visdom](https://github.com/facebookresearch/visdom). To do this, you should visdom installed. You need to invoke `python -m visdom.server` to start the server. +- During training, you can visualize the result of current training. If you set `--display_id 0`, we will periodically save the training results to `[opt.checkpoints_dir]/[opt.name]/web/`. If you set `--display_id` > 0, the results will be shown on a local graphics web server launched by [visdom](https://github.com/facebookresearch/visdom). To do this, you should visdom installed. You need to invoke `python -m visdom.server` to start the server. The default server URL is `http://localhost:8097` ### CycleGAN Datasets Download the CycleGAN datasets using the following script: |
