Solution to being stuck in "Solving environment"

[YujiaLin-523]

Thanks to @levnikolaevich, here is his solution which was tested on Ubuntu 20.04:

sudo apt-get update && \
sudo apt-get upgrade -y && \
sudo apt-get install unzip libeigen3-dev ffmpeg build-essential nvidia-cuda-toolkit

mkdir -p ~/miniconda3 && \
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh && \
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 && \
rm -rf ~/miniconda3/miniconda.sh && \
~/miniconda3/bin/conda init bash && \
~/miniconda3/bin/conda init zsh

========= close and re-open current shell =========

git clone https://github.com/River-Zhang/SIFU.git
cd SIFU

-->add "mkl=2024.0.0" in the "environment.yaml" pytorch/pytorch#123097

conda env create -f environment.yaml 
conda activate sifu

changes in requirements.txt:
--> delete "pymeshlab" (because there is "pymeshlab==2022.2.post4")
--> change git+https://github.com/YuliangXiu/rembg.git@hf --> git+https://github.com/YuliangXiu/rembg.git (because there is no longer a tag "hf")
--> add open3d==0.17.0 mediapipe einops gdown
--> set numpy==1.24.4
because of "ImportError: numpy.core.multiarray failed to import (auto-generated because you didn't call 'numpy.import_array()' after cimporting numpy; use 'numpy._import_array' to disable if you are certain you don't need it)."

pip install -r requirements.txt

Originally posted by @levnikolaevich in #20 (comment)