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authortaesung89 <taesung89@gmail.com>2017-04-27 01:34:19 -0700
committerGitHub <noreply@github.com>2017-04-27 01:34:19 -0700
commit71379036e7d25ba535899bd9b1fc5cad4912b495 (patch)
tree42c0c4a728ddc7906d042ed531999faef514e53d /README.md
parentad7374438d59511bb340ce7f5ca720d34c897531 (diff)
parent5961776afe03593ad4f3387b4e10200df51460d3 (diff)
Merge pull request #9 from TylerCarberry/patch-1
Fix typo in README
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@@ -94,7 +94,7 @@ The test results will be saved to a html file here: `./results/facades_pix2pix/l
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.
+- See `options/train_options.py` and `options/base_options.py` for training flags; see `options/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. You need a large batch size (e.g. `--batchSize 32`) to benefit from multiple gpus.
- During training, the current results can be viewed using two methods. First, if you set `--display_id` > 0, the results and loss plot will be shown on a local graphics web server launched by [visdom](https://github.com/facebookresearch/visdom). To do this, you should have visdom installed and a server running by the command `python -m visdom.server`. The default server URL is `http://localhost:8097`. `display_id` corresponds to the window ID that is displayed on the `visdom` server. The `visdom` display functionality is turned on by default. To avoid the extra overhead of communicating with `visdom` set `--display_id 0`. Second, the intermediate results are saved to `[opt.checkpoints_dir]/[opt.name]/web/` as an HTML file. To avoid this, set `--no_html`.