/DeepOcclusion

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Implementation of the Deep-Occlusion Reasoning

Paper: https://arxiv.org/abs/1704.05775 Project page: https://pierrebaque.github.io/page-DeepOcclusion/

Dependencies

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.

How to run.

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.