A High Performance CRF Model for Clothes Parsing
  Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, and Raquel Urtasun
  Asian Conference on Computer Vision (ACCV), 2014

  Copyright (C) <2014> <Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun>

  This work is licensed under the Creative Commons
  Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy
  of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or
  send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

  Edgar Simo-Serra, Institut de Robotica i Informatica Industrial (CSIC/UPC), December 2014.
  [email protected], http://www-iri.upc.es/people/esimo/

# Check out the git and cd into it as working directory
git clone https://github.com/bobbens/clothes_parsing.git
cd clothes_parsing
# Get and unpack the necessary features
wget http://hi.cs.waseda.ac.jp/~esimo//data/poseseg.tar.bz2
tar xvjf poseseg.tar.bz2 

cd lib/dSP_5.1
make # First edit the Makefile if necessary

sm = segmodel( 'PROFILE', '0.16', 'use_real_pose', false ); % Load the model, parameters can be set here
sm = sm.train_misc_unaries(); % Trains some misc stuff
sm = sm.train_MRF(); % Actually sets up and trains the CRF
R = sm.test_MRF_segmentation() % Performs testing and outputs results

 BUILDING MRF OUTPUT 29 CLASSES (REAL POSE=0)...
 UNARIES:
    bgbias
    logreg:       29
    cpmc_logreg:  29
    cpmc
    shapelets
 HIGHER ORDER
    similarity
    limbs
 Initializing Image 011 / 350...   0.4 seconds!   

 ...

 Tested MRF in 319.0 seconds
 350 / 350... 

 R = 

     confusion: [29x29 double]
     order: [29x1 double]
     acc: 0.8432
     pre: [29x1 double]
     rec: [29x1 double]
     f1: [29x1 double]
     voc: [29x1 double]
     avr_pre: 0.3007
     avr_rec: 0.3292
     avr_f1: 0.3039
     avr_voc: 0.2013

sm.test_MRF_visualize( 'output/' )

 @InProceedings{SimoSerraACCV2014,
    author = {Edgar Simo-Serra and Sanja Fidler and Francesc Moreno-Noguer and Raquel Urtasun},
    title = {{A High Performance CRF Model for Clothes Parsing}},
    booktitle = "Proceedings of the Asian Conference on Computer Vision (2014)",
    year = 2014
 }