view python/processing.py @ 251:4978b5baf8f1

Win32 version for traffic intelligence. Use the README-Win32.txt to know how to fetch the dependencies. A batch file is included to automate most of the process
author Jeep-Tour@Jeep-Tour-PC
date Mon, 23 Jul 2012 12:27:50 -0400
parents 583a2c4622f9
children 15e244d2a1b5
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#! /usr/bin/env python
'''Algorithms to process trajectories and moving objects'''

__metaclass__ = type

import numpy as np

import moving

def extractSpeeds(objects, zone):
    speeds = {}
    objectsNotInZone = []
    import matplotlib.nxutils as nx        
    for o in objects:
        inPolygon = nx.points_inside_poly(o.getPositions().asArray().T, zone.T)
        if inPolygon.any():
            objspeeds = [o.getVelocityAt(i).norm2() for i in xrange(int(o.length()-1)) if inPolygon[i]]
            speeds[o.num] = np.mean(objspeeds) # km/h
        else:
            objectsNotInZone.append(o)
    return speeds.values(), speeds, objectsNotInZone