Add this (https://github.com/ros-drivers/velodyne) velodyne lidar driver to the Cataglyphis_ws

Cleanup cataglyphis2 serial code

Create a lidar catkin_package for all future lidar development.

Create a ROS node in the robot_control package called the gui_node. The first objective for this node is enable it to provide a way to display robot's current position and heading on a picture of the field, by subscribing to the "navigation/navigationfilterout/navigationfilterout" topic, which is of the messages/NavFilterOut.msg type. Start with the institute park field and then later add the ability to switch to other fields that we use for testing, outside the library, UHS, quad, etc.

The second objective for this node is to have the ability to show the grid point values of different types of into stored in the Map Manager. The format of how this info will be communicated to the gui_node is TBD, but just create some static test data to display for now and then we will develop an interface.

The third objective for this node is to allow for the map data is is displaying to be edited. Again, an interface will have to be developed for this, but for now just find out how to edit information on a grid point shown on the data overlayed onto the map by clicking on that point, and then bringing up some kind of dialog box or some other toolbar to enter a new value for the data at that point.

This warning message prints when running "ClassifierService.py".

/usr/local/lib/python2.7/dist-packages/theano/tensor/signal/downsample.py:5: UserWarning: downsample module has been moved to the pool module.
warnings.warn("downsample module has been moved to the pool module.")
/home/jared/cataglyphis_ws/src/computer_vision/scripts/DeepFishNet.py:175: UserWarning: pool_2d() will have the parameter ignore_border default value changed to True (currently False). To have consistent behavior with all Theano version, explicitly add the parameter ignore_border=True. On the GPU, using ignore_border=True is needed to use CuDNN. When using ignore_border=False and not using CuDNN, the only GPU combination supported is when ds == st and padding == (0, 0) and mode == 'max'. Otherwise, the convolution will be executed on CPU.
l1 = max_pool_2d(l1a, (2, 2), st=None, padding=(0, 0), mode='max')
/home/jared/cataglyphis_ws/src/computer_vision/scripts/DeepFishNet.py:183: UserWarning: pool_2d() will have the parameter ignore_border default value changed to True (currently False). To have consistent behavior with all Theano version, explicitly add the parameter ignore_border=True. On the GPU, using ignore_border=True is needed to use CuDNN. When using ignore_border=False and not using CuDNN, the only GPU combination supported is when ds == st and padding == (0, 0) and mode == 'max'. Otherwise, the convolution will be executed on CPU.
l2 = max_pool_2d(l2a, (2, 2))
/home/jared/cataglyphis_ws/src/computer_vision/scripts/DeepFishNet.py:189: UserWarning: pool_2d() will have the parameter ignore_border default value changed to True (currently False). To have consistent behavior with all Theano version, explicitly add the parameter ignore_border=True. On the GPU, using ignore_border=True is needed to use CuDNN. When using ignore_border=False and not using CuDNN, the only GPU combination supported is when ds == st and padding == (0, 0) and mode == 'max'. Otherwise, the convolution will be executed on CPU.
l3 = max_pool_2d(l3a, (2, 2))