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Problems with dependencies and environment #20
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Hi @levnikolaevich , I'm sorry that the environment setting wasted you too much time. I'll examine this as soon as possible. Here is the content in environment.yml when I use |
@River-Zhang , thank you very much!! |
@River-Zhang, hello! This is what ultimately worked on a clean Ubuntu 20.04. It might be useful if you decide to update the instructions:
========= close and re-open current shell =========
-->add "mkl=2024.0.0" in the "environment.yaml" pytorch/pytorch#123097
changes in requirements.txt:
|
And to be honest, I would specify more clearly that you need to run the Thank you in advance! |
Thanks very much for your valuable suggestions! We'll update that as soon as possible! Thanks very much! |
@levnikolaevich The installation has been updated. Thanks sincerely again! |
@River-Zhang , thank you very much! good luck! |
Good afternoon!
I tried to set up the environment on a clean Ubuntu 20.04 (wsl Windows 11), following the instructions:
git clone https://github.com/River-Zhang/SIFU.git
sudo apt-get install libeigen3-dev ffmpeg
cd SIFU
conda env create -f environment.yaml
conda activate sifu
pip install -r requirements.txt
However, I encountered several missing dependencies, conflicts, and other issues. For example, I needed to first install build essentials with:
sudo apt-get install build-essential
And for the mlt package, it is necessary to install version 2024.0.0, otherwise, an error occurs pytorch/pytorch#123097.
Eventually, I forked the repository https://github.com/levnikolaevich/SIFU and tried to fix the packages, but I gave up when I encountered an error trying to execute the command:
python -m apps.infer -cfg ./configs/sifu.yaml -gpu 0 -in_dir ./examples -out_dir ./results -loop_smpl 100 -loop_cloth 200 -hps_type pixie
The error message was:
=============
Could you please commit an
environment.yml
file created with the command in an environment where everything works for you?conda env export > environment.yml
Then, you can remove the
requirements.txt
file, which currently lists the packagepymeshlab
twice.Thank you in advance, and congratulations on your acceptance to CVPR 2024!
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