Paper: https://arxiv.org/abs/1704.05775 Project page: https://pierrebaque.github.io/page-DeepOcclusion/
The main dependency is the Theano package.
You also need to install the theano ROI-Pooling Layer from https://github.com/ddtm/theano-roi-pooling to get the unary potentials to work.
Nb: The demo provided here is temporary and should be improved soon to make it more robust and easier to run. Happy to read your feedbacks.
Clone the github code
Download this zip file https://drive.google.com/file/d/0BxijKKbgC7wRTE03ajEtZ1FYc2M/view?usp=sharing
Unzip it in the root directory
From the same root directory, type:
mv tozip/models VGG/models
mkdir Potentials/Parts/Run
mkdir Potentials/Unaries/Run
Then, run the notebooks in the following order:
RunParts.ipynb
RunUnaries.ipynb
RunPom.ipynb
You should get some results. This is for running the pretrained model and not for training yet.
In order to run the code on your own dataset, you just need to generate the ".pom" file corresponding to your cameras. This file describes the 2D boundary of each 3D bounding-box, projected on each camera, approximated by a rectangle. In order to generate such file, you can use our code with your camera calibrations: https://github.com/pierrebaque/generatePOMfile