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Installation Instructions

Two overall comments:

  • Result visualizations depend on blender. We provide a version, but if you have issues where the renderings don't show up or where the script cannot read the result images, you may have to compile blender and provide a bpy.so file that matches your precise system configuration. See here for information about how to do this. The results by themselves do not depend on blender, and if you just want to compute predictions, you do not need blender.
  • You should run each of these commands in the main root directory.

Setup virtualenv.

virtualenv venv
source venv/bin/activate
pip install -U pip
deactivate
source venv/bin/activate
pip install -r docs/requirements.txt

Install pytorch.

pip install http://download.pytorch.org/whl/cu80/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl
pip install torchvision visdom dominate

Compile cython modules.

First, we need to compile some cython utilities.

cd utils
python setup.py build_ext --inplace
mv factored3d/utils/bbox_utils.so ./
rm -rf build/ # remove redundant folders
rm -rf factored3d/ # remove redundant folders
cd ..

Download pre-trained models.

# Download pre-trained Resnet18 Model.
wget https://download.pytorch.org/models/resnet18-5c106cde.pth -O ~/.torch/models/resnet18-5c106cde.pth

# Download our models.
wget https://people.eecs.berkeley.edu/~shubhtuls/cachedir/factored3d/cachedir.tar.gz && tar -xf cachedir.tar.gz
wget https://people.eecs.berkeley.edu/~shubhtuls/cachedir/factored3d/blender.tar.gz && tar -xf blender.tar.gz && mv blender renderer/.

Setup external dependencies.

mkdir external; cd external;
# Python interface for binvox
git clone https://github.com/dimatura/binvox-rw-py ./binvox

# Piotr Dollar's toolbox
git clone https://github.com/pdollar/toolbox ./toolbox

# Edgeboxes code
git clone https://github.com/pdollar/edges ./edges

# SSC-Net code (used for computing voxelization for the baseline)
git clone https://github.com/shurans/sscnet ./sscnet
cd ..