summaryrefslogtreecommitdiff
path: root/README.md
diff options
context:
space:
mode:
authorTaesung Park <taesung_park@berkeley.edu>2017-04-20 03:36:13 -0700
committerTaesung Park <taesung_park@berkeley.edu>2017-04-20 03:36:13 -0700
commit03d01ea7723015b29aac078daa2d2797e042923a (patch)
tree5283f725ec257637863dc34a294732308a97d13b /README.md
parentd83c47cc99c6a8cd4818d32972859f0d7b346238 (diff)
modified README
Diffstat (limited to 'README.md')
-rw-r--r--README.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/README.md b/README.md
index 28631f3..5bf2501 100644
--- a/README.md
+++ b/README.md
@@ -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. 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: