codex

Codex Virtualis

1. exploring the latent space

1. install cuda 10.0

   https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exelocal

2. install cudNN 7.5 for cuda 10.0

   https://developer.nvidia.com/rdp/cudnn-archive

3. with anaconda create new env

   $ conda create -n style python=3.6

   $ conda install -c conda-forge tensorflow-gpu=1.14

   $ conda activate style

   $ pip install tensorflow-gpu==1.14

   $ pip install requests Pillow, tqdm

4. install visual studio 2017 from

   https://my.visualstudio.com/Downloads?q=visual%20studio%202017&wt.mc_id=o~msft~vscom~older-downloads

5. clonar este repo

   $ git clone https://github.com/interspecifics/codex

   cd codex/transitions/

   descargar modelo de https://drive.google.com/drive/folders/1TnW5E4O9KeZ5MvRjJVgD7biDU0Aq4-j5?usp=sharing

   colocar archivo .pkl en codex/transitions/

6. update route for VStudio in codex/transitions/stylegan2/dnnlib/tflib/custom_ops.py:

   compiler_bindir_search_path = [

    'C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx64/x64',
   
    #'C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.14.26428/bin/Hostx64/x64',
   
    'C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.23.28105/bin/Hostx64/x64',
   
    'C:/Program Files (x86)/Microsoft Visual Studio 14.0/vc/bin',
   
    ]
   

7. edit random seeds for vector generation latent anim generator codex/transitions/latent_exp.py

   r1 = 12

   r2 = 10 #8023,8045,8004,8016

8. run

   $ python latent_exp.py

2. exploring the latent space with google collabs

1. Copy the juper book to your own drive and follow the instrucctions

   https://github.com/interspecifics/codex/blob/main/stylegan_exploration.ipynb

2. Upload the custom pkl networks

   https://github.com/interspecifics/codex/tree/main/trainings512

   Be sure to install the files in the same folder as your styleGAN2 explorer.