I was trying to use this tool today and noticed some errors:
Since the update adding the DaSiamRPN, the installation now requires pytorch to run, as well as to download the correct DaSiamRPN. This is not a big issue, should be added to the installation guide though.
The dasiamrpn.py file uses "torch.load(f)" which fails in its current state when no CUDA GPU is installed.
The dasiamrpn.py file links to the wrong DaSiamRPN, returning the the BIG network, which of course fails in execution because the tensors are too big (2x).
Right now the SiamNetwork Code (in the submodule) uses a couple of CUDA commands.
When installing pytorch with conda, executing the main.py shows a warning about Qt not working. export QT_XKB_CONFIG_ROOT=/usr/share/X11/xkb fixes this
Would it make sense to not use the DaSiamRPN as submodule and change the code to have the cuda commands be optional?
Hey, thanks for this great project.
I was trying to use this tool today and noticed some errors:
Would it make sense to not use the DaSiamRPN as submodule and change the code to have the cuda commands be optional?