Add descriptions on files and tensorboard
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README.md
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README.md
@ -35,3 +35,28 @@ Input and target (output) data can be normalized by functions defined in
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Find the models in `map2map/models/`.
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Customize the existing models, or add new models there and edit the `__init__.py`.
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### Training
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#### Files generated
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* `*.out`: job stdout and stderr
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* `state_*.pth`: training state including the model parameters
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* `checkpoint.pth`: symlink to the latest state
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* `runs/`: directories of tensorboard logs
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#### Tracking
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Install tensorboard and launch it by
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```bash
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tensorboard --logdir PATH --samples_per_plugin images=IMAGES --port PORT
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```
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* Use `.` as `PATH` in the training directory, or use the path to some parent
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directory for tensorboard to search recursively for multiple jobs.
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* Show `IMAGES` images, or all of them by setting it to 0.
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* Pick a free `PORT`. For remote jobs, do ssh port forwarding.
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