cleinc / bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Multi GPU training

sefibk opened this issue · comments

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_train_deci.txt'?
  • I am specifically referring to the NYU Pytorch training

Thanks a lot

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

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