You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Currently the version of timm for this library is 0.3.2, but the latest version of timm is 0.4.9. When I try installing timm and segmentation-models-pytorch using conda, since the latter can only be installed using pip, this effectively lowers the version of timm to 0.3.2.
I assume that timm follows backward-compatibility and hence, segmentation-models-pytorch should work with later versions of timm as well.
So, is it possible to change the requirements from timm==0.3.2 to timm==0.4.9?
Problem is that if you put segmentation models in a requirements.txt and then try to install newer timm version it will fail due to dependency restrictions. But I see your point.
Currently the version of
timm
for this library is0.3.2
, but the latest version oftimm
is0.4.9
. When I try installingtimm
andsegmentation-models-pytorch
usingconda
, since the latter can only be installed usingpip
, this effectively lowers the version oftimm
to0.3.2
.I assume that
timm
follows backward-compatibility and hence,segmentation-models-pytorch
should work with later versions oftimm
as well.So, is it possible to change the requirements from
timm==0.3.2
totimm==0.4.9
?The text was updated successfully, but these errors were encountered: