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cleinc / bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
GNU General Public License v3.0
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Multi GPU training #57

Open sefibk opened 4 years ago

sefibk commented 4 years ago

Thank you for your interesting work and excellent reproduction code.

  1. Is the code fit for multiple GPU training?
  2. Did you experience any degradation in results?
  3. Should I change something in the arguments file or the command: _'python bts_main.py arguments_traindeci.txt'?

Thanks a lot

liangwx commented 4 years ago

Could you tell me how many hours it takes to train with offered code on NYUDv2 24K or KITTI raw data such as with 4 GPU? Thanks! @sefibk

sefibk commented 4 years ago

It really depends on the model you are training. I was training my own proprietary one. And I don’t remember the how long it took. Sorry