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About Visualization #183

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onekid opened this issue Jul 30, 2024 · 1 comment
Open

About Visualization #183

onekid opened this issue Jul 30, 2024 · 1 comment

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@onekid
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onekid commented Jul 30, 2024

This project is amazing!I already experienced the pre-trained model.
But I don't know how to visualize this training process.
where should i put these config? ↓

env = StreamWrapper(
env,
stream_metadata = { # All of this is part is optional
"user": "pw", # choose your own username
"env_id": id, # environment identifier
"color": "#0033ff", # choose your color :)
"extra": "", # any extra text you put here will be displayed
}
)

If I could train the model while visually observing the model,That would be really nice!

@PWhiddy
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PWhiddy commented Jul 31, 2024

Hi!
You put it after where you've initialized your environment.
So if you're using run_baseline_parallel_fast, right after here:

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