Closed GFENGG closed 1 year ago
Sorry for the late reply. I just trained a new model using current code (some errors may occur related to contiguous tensors, but I have to look deeper into that before making public commit).
Here is the result at validation:
mean mae : 1.3309486414196072
mean rmse : 2.9350815975989972
mean inverse mae : 0.00470681552990103
mean inverse rmse : 0.007207281043113217
mean log mae : 0.06445663321755596
mean log rmse : 0.1023890602669587
mean scale invariant log : 0.09383321789658851
mean abs relative : 0.0633444312927093
mean squared relative : 0.011379228718697884
The config and checkpoints:
Thank you for your time, this is helpful for me
Hello, can you provide a pretrained weight about depth estimation?