kazunaritakeichi
kazunaritakeichi
Hi @lunzueta Thank you! Ok, I'll also try and tell you!
Hi @lunzueta. One way against overfittin may be tuning dropout parameters. http://stats.stackexchange.com/questions/109976/in-convolutional-neural-networks-how-to-prevent-the-overfitting
@lunzueta σ parameter is set to 1.0 for FLIC and 2.0 for LSP in the paper and lr parameter is set to 0.0005 for both datasets, isn't it? I don't...
@lunzueta This is log.png (cropping is 0). test loss is increasing... 
I tried newer version(shell/train_lsp.sh). Below is the result. 
Thank you so much @mitmul ! I'll learn the paper and the code so that I can contribute.
I tried with FLIC dataset. I got the similar result with MPII @lunzueta.
@lumaku Thank you for your reply. I specify the version like `ctc-segmentation = "1.7.4"` in `pyproject.toml`. So, I think the package is installed from PyPl. `poetry.lock` is like below. ```...