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authorMatt Cooper <matthew_cooper@brown.edu>2016-08-12 19:48:52 -0400
committerGitHub <noreply@github.com>2016-08-12 19:48:52 -0400
commita1e33249566a795689189749a56138b85e713d99 (patch)
tree46cd43fe42102e432c76f106d89ee50506516887
parent54bd95e24253a21856f04796ef6699fd858bf0b4 (diff)
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@@ -58,7 +58,7 @@ Using the error measurements outlined in the paper (Peak Signal to Noise Ratio a
```
- This can take a few hours to complete, depending on the number of clips you want.
-4. Train:
+4. Train/Test:
- If you want to plug-and-play with the pacman dataset, you can [download my trained models here](https://drive.google.com/open?id=0Byf787GZQ7KvR2JvMUNIZnFlbm8). Load them using the `-l` command described below.
- Train and test your networks by running `python avg_runner.py` from the `Code/` directory, with the following options:
```