<commit_before>===================
jsk_2015_apc_common
===================


Train classifier with dataset
=============================


Get dataset
-----------
To get dataset at `here <http://rll.berkeley.edu/amazon_picking_challenge/>`_, and run::

  python scripts/download_dataset.py -O berkeley_dataset


Process dataset
---------------
Firstly, you need to create mask applied image dataset::

  python scripts/create_mask_applied_dataset.py berkeley_dataset -O berkeley_dataset_mask_applied<commit_msg>[jsk_2015_apc_common] Add credit for gazebo models<commit_after>===================
jsk_2015_apc_common
===================


Train classifier with dataset
=============================


Get dataset
-----------
To get dataset at `here <http://rll.berkeley.edu/amazon_picking_challenge/>`_, and run::

  python scripts/download_dataset.py -O berkeley_dataset


Process dataset
---------------
Firstly, you need to create mask applied image dataset::

  python scripts/create_mask_applied_dataset.py berkeley_dataset -O berkeley_dataset_mask_applied


Gazebo models
=============

The mesh files under ``models/`` are originally created by <NAME>, <NAME>,
<NAME>, <NAME>, <NAME>, <NAME> in Robot Learning Lab, UC Berkeley.
Their website is `here <http://rll.berkeley.edu/amazon_picking_challenge>`_.
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