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When does it stop?

Open TheRealUnBot opened this issue 2 years ago • 4 comments

This is probably a simple mistake on my part, but I've been trying to run the nerf example on Google Colab, and it just keeps training. It seems to decrease in loss but is there a point where the training is supposed to stop? Do I need to do some sort of key command, command line argument, or do I simply just keep waiting? Thanks to anyone who can solve my stupidity. :)

TheRealUnBot avatar May 27 '22 22:05 TheRealUnBot

Afaik it trains in realtime, it never stops. It does t give you an output once it's done, you see the output as it trains.

giodude12 avatar May 30 '22 14:05 giodude12

The problem is that the Google Colab example cannot use a gui because it is a command line interface, so how do I force it to eventually stop and output a mesh? Or am I stuck with skipping training entirely and immediately exporting the model?

TheRealUnBot avatar May 31 '22 21:05 TheRealUnBot

you can try scripts/run.py with the setting --n_steps, the default value is 100000

Vincentqyw avatar Jun 01 '22 07:06 Vincentqyw

Related to #427

lorepieri8 avatar Jun 13 '22 13:06 lorepieri8

@Vincentqyw It seems Step 10 (render video) of the colab, If I give n_steps > 2000 (which is the step for the first msgpack), it does not do anything while training. Loss seems to be the same. Did it train to the mentioned n_steps after loading the initial msgpack?

dmoham1476 avatar Jan 10 '23 20:01 dmoham1476