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bharat-b7 / MultiGarmentNetwork

Repo for "Multi-Garment Net: Learning to Dress 3D People from Images, ICCV'19"
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What version of tensorflow do you use? (compatibility with DIRT) #13

Closed neonb88 closed 4 years ago

neonb88 commented 4 years ago

This is beautiful work. Thank you.

Issue:

I am on a Google Cloud Ubuntu 18.04 Virtual Machine. I tried running cd ~/dirt; pip install tensorflow-gpu==1.13.1; pip install . within a conda environment because your README.md mentions python2.7 and tensorflow 1.13. But then I get the following DIRT error:

  ERROR: Could not find a version that satisfies the requirement 
tensorflow-gpu==1.13 (from dirt===-0.3.0) 
(from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0)

ERROR: No matching distribution found for tensorflow-gpu==1.13 (from dirt===-0.3.0)

Because pmh47 required tensorflow 1.6.

I guess I will try to use his version(s) of CUDA, CUDNN, tensorflow, etc. and then run the rest of your code. What versions did you use?

neonb88 commented 4 years ago

I found a simple solution: use tensorflow 1.13.1 and just do cd ~;git clone https://github.com/pmh47/dirt.git;cd dirt;pip install . and then in your .bashrc insert the line export PYTHONPATH=$PYTHONPATH:$HOME/dirt and voila! Success!

hshreeshail commented 2 years ago

@neonb88 How did you install MPI Mesh (the 2.7 compatible version) in the conda environment. The repo only has a Makefile to install in a python virtualenv.

hshreeshail commented 2 years ago

@neonb88 How did you install MPI Mesh (the 2.7 compatible version) in the conda environment. The repo only has a Makefile to install in a python virtualenv.

I just used a python virtualenv instead. Works fine that way.