Set up the environment with conda, results in “Found conflicts!”

[erwin-wu-x]

Thanks for your excellent work and contribution to the community.
I am trying to install the latest version of PlaneRecNet on Ubuntu, but some conflicts appear:

$ conda env create -f environment.yml
Collecting package metadata (repodata.json): done
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.

My operating system is Ubuntu 18.04.6 LTS, my conda version is 4.13.0. I also test the yml file on Ubuntu 20.04.4 LTS which bring the same conflicts. Since the conda version or system difference, I assume there might be a problem with this yml file?
There is one link I referenced.

Looking forward to your reply and thank you again.

[erwin-wu-x]

I solved this problem by reorganizing the PyTorch version and Cuda version and installing some modules by hand.
Hope that's helpful:)

[AIMads]

Experience the same issue, can you go a bit more in depth of how you solved it? ;)

[EryiXie]

I solved this problem by reorganizing the PyTorch version and Cuda version and installing some modules by hand. Hope that's helpful:)

Great to know that you have already solved it. I will try to update the environment.yml, since I directly generated it using conda commands, could be the case that some unused, not importance dependencies causing this issue.

[bdweix]

I solved this problem by reorganizing the PyTorch version and Cuda version and installing some modules by hand. Hope that's helpful:)

@erwin-wu-x could you post your updated environment.yml file? I encountered the same conflicts found issue and haven't been able to get it working

[AotoriChiaki]

I solved this problem by reorganizing the PyTorch version and Cuda version and installing some modules by hand. Hope that's helpful:)

Great to know that you have already solved it. I will try to update the environment.yml, since I directly generated it using conda commands, could be the case that some unused, not importance dependencies causing this issue.

@EryiXie I have also encountered the same issue. Can you fix the environment.yml? Thank you

[EryiXie]

Wow, I am surprised and exited that after 3 years there are still people want to try out my work.
Let me see what I can do. As I can remember, that time the Deformable Conv had some issue since there was not official support from Pytorch. I am sure they have it now.
I will try to update the yml this week.

I solved this problem by reorganizing the PyTorch version and Cuda version and installing some modules by hand. Hope that's helpful:)

Great to know that you have already solved it. I will try to update the environment.yml, since I directly generated it using conda commands, could be the case that some unused, not importance dependencies causing this issue.

@EryiXie I have also encountered the same issue. Can you fix the environment.yml? Thank you