Unfinished ! training loss high , possibly something went wrong with the code.
Currently using models.convgru for cost regularization
Only implement forward cost regularization
2023/4/14 training loss goes down , tested within 1 epoch
2023/5/10 move to unstable branch for more updates
Unofficial RMVSNET implementation .
Code mostly borrowed from
- MVSNet_pytorch
- RMVSNet-Pytorch
- loss function from AA-RMVSNet
root
|
|___datasets
|
|___evaluations
|
|___lists
|
|___models
Modify data root and other parameters in train.sh
run sh train.sh