PreProc.py:
Gets input path which should contain pcd files for pointcluds with type  
pointxyzrgb. and run PreProc on all of them saves the results in separate 
folder for each pointclouds. Results are:

1.Ponitcloud_transfered.pcd (rottated and translated)
2.Ponitcloud_normal.pcd (surface normals of the input cloud)
3.Ponitcloud_TFP.pcd (Test full pointcloud)
4.Ponitcloud_converted.pcd (converted from pointxyzrgb to pointxyzrgbl)

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FeatExt.py:

This script  gets two path for input pointclouds and normals               
And an output path to save results of feature extract. (for now only train)
Results are:

1.pointcloud_IP.dat
2.pointcloud_data.dat
3.pointcloud_label.dat
4.