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| author | junyanz <junyanz@berkeley.edu> | 2017-04-20 03:44:46 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-04-20 03:44:46 -0700 |
| commit | 1854cb18696ae074472e9371b143618d20eb6fce (patch) | |
| tree | f6cdadb1ef9adb06fed8ab55c4080daf0bd18170 /README.md | |
| parent | ad2e54efab73563e92a23605dc7338ec1d2c4de6 (diff) | |
| parent | d4206aad119326c57fefeb97176f8fbda6cd8d1e (diff) | |
Merge branch 'master' of https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -92,7 +92,8 @@ 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 (default `--gpu_ids 0`): 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. The default server URL is `http://localhost:8097` +- 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`. `display_id` corresponds to the window ID that is displayed on the `visdom` server. + ### CycleGAN Datasets Download the CycleGAN datasets using the following script: |