Upgrade system:

sudo apt-get update
sudo apt-get upgrade

sudo apt install nvidia-415*
sudo reboot

1. Download miniconda from the oficial website. (Recommended: Python 3.* , 64-bits)
2. Install miniconda. (Recommended: use predefined paths and answer yes whenever you are asked yes/no)

   bash ~/Downloads/Miniconda3-latest-Linux-x86_64.sh
   

1. Create and activate conda environment for the project

   conda create -n ClothShape
   source activate ClothShape
   

2. Install Pytorch

   conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
   

3. Install other rand dependencies

   conda install matplotlib opencv pillow scikit-learn scikit-image cython tqdm
   pip install tensorboardX
   

4. Deactivate environment

   conda deactivate
   

1. Create and activate conda environment for tensorboard:

   conda create -n tensorboard python=3.6
   source activate tensorboard
   

2. Install Tensorflow CPU

   pip install tensorflow
   

3. Deactivate environment

   conda deactivate
   

1. Run

   python src/train.py --exp_dir experiments/model1/basic_settings
   

2. To visualize. In a new terminal run:

   source activate tensorboard
   tensorboard --logdir path/to/repo/experiments/model1/basic_settings/
   

1. Run

   python src/test.py --exp_dir experiments/model1/basic_settings
   

   results will be store in experiments/model1/basic_settings/test