Installation issues... miniconda possible? #30
Replies: 6 comments 2 replies
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Hi Zac. Please, write us the model of the NVIDIA Graphics Board and the GPU RAM: Yes, you can create an environment in conda and use it to avoid potential conflicts. |
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Hi, sorry for the late reply. |
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Thanks for the assistance,
I did manage to install and get the program running... After I found the
dependencies file I used the archived windows files and it worked well so
far. I am currently testing it out now and very grateful to have this
software available. Please keep up the great work.
-Zac
…On Tue, Mar 1, 2022 at 7:03 PM Alessandro Muntoni ***@***.***> wrote:
Hi, sorry for the late reply.
Actually, there is the idea in the future to make a proper package of
taglab that will be easy to install, however making it properly is not as
easy as it might seem, due to several dependencies we have (mainly torch
which could depend on cuda, and gdal, which in some OSs depends on external
libraries that need to be installed outside python).
It's a big TODO we have in our list, since it would require lot of time
and effort.
The install.py script should work fine most of the times, but I see that
there could be some system configurations that may break the whole
installation of all the dependencies.
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--
Zac H. Forsman, Ph.D.
Assistant Researcher | Coral Conservation Genetics & Restoration
Hawai'i Institute of Marine Biology | University of Hawai'i, Mānoa
Coconut Island | Moku o Loʻe | 46-007 Lilipuna Road | Kāne'ohe, HI 96744
https://zacforsman.github.io/
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I've installed successfully but when I try to run |
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Hi Zytoh0. Let's try to follow the suggestions contained in the following thread: https://stackoverflow.com/questions/44005694/no-module-named-gdal I suggest to you to begin from the renaming of the library under the osgeo directory in _gdal.so Hope this helps ! |
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Hi there! Torch will be installed in its CPU version. Any ideas what I could do to solve this problem? |
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I've been working for several days to install TagLab on both Windows and Ubuntu. I managed to get the cpu version working in ubuntu wsl (win 10 and win 11 with new graphics integration) and was able to install cuda versions in both windows and ubuntu; however, many of the tools don't work and or it crashes.
I really want to use this tool for my research but I'm having a hard time installing it, probably due to version conflicts with dependencies. Is it possible to put this project to a container (such as miniconda) so that installation would be more foolproof?
I can't wait to work with this software!
-Zac
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