To test this project in following steps:

1.Run the demo.m in /pose. And get the human pose estimation image in /database/poseresult/. you can skip this step ,I have output a demo in /database/poseresult/.

2.When first run this project, you need to train unary model.Run:

python preprocessing.py -p
# -p means use pretrain model

This will take some time.

3.Run the mrf,Run:

python mrf.py

you would see the mrfresult in ./database/mrfresult/

To Run the whole project from scratch:

1.Download all the dataset.

In project dictionary ,run:

chmod +x getdata.sh
./getdata.sh

This will download data from dataset and combine into database dictionary

2.Run the demo.m in /pose. And get the human pose estimation image in /database/poseresult/.

3.processing all data,Run:

python preprocessing.py

4.Run the mrf,Run:

python mrf.py

you would see the mrfresult in ./database/mrfresult/

other information. the pygco need Compile if you download the source file from github. This is python wrapper for gco-3.0 package. you can follow the instruction of github: https://github.com/yujiali/pygco