view python/ubc_utils.py @ 42:1a2ac2d4f53a

added loading of the rest of the data for objects
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 01 Jul 2010 10:44:32 -0400
parents 28e546861263
children 6d11d9e7ad4e
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#! /usr/bin/env python
'''Various utilities to load data saved by the UBC tool(s)'''

import utils
from moving import MovingObject, TimeInterval, Trajectory

__metaclass__ = type

delimiterChar = '%';

def getLines(f):
    '''Gets a complete entry (all the lines) in between delimiterChar.'''
    dataStrings = []
    s = utils.readline(f)
    while (len(s) > 0) and (not s.startswith(delimiterChar)):
        dataStrings += [s.strip()]
        s = utils.readline(f)
    return dataStrings

def loadTrajectories(filename, nObjects = -1):
    '''Loads trajectories'''

    file = utils.openCheck(filename)
    if (not file):
        return []

    objects = []
    objNum = 0
    isObjectFile = filename.endswith('objects.txt');
    lines = getLines(file)
    while (lines != []) and ((nObjects<0) or (objNum<nObjects)):
        l = lines[0].split(' ')
        parsedLine = [int(n) for n in l[:4]]
        obj = MovingObject(num = objNum, timeInterval = TimeInterval(parsedLine[1],parsedLine[2]))
        #add = True
        if len(lines) >= 3:
            obj.positions = Trajectory(lines[1], lines[2])
            if len(lines) >= 5:
                obj.velocities = Trajectory(lines[3], lines[4])
                if (isObjectFile):
                    obj.userType = parsedLine[3]
                    obj.nObjects = float(l[4])
                    obj.featureNumbers = [int(n) for n in l[5:]]
                    
                    # load contour data if available
                    if len(lines) >= 6:
                        obj.contourType = utils.line2Floats(lines[6])
                        obj.contourOrigins = Trajectory(lines[7], lines[8])
                        obj.contourSizes = Trajectory(lines[9], lines[10])

        if len(lines) != 2:
            objects.append(obj)
            objNum+=1
        else:
            print("Error two lines of data for feature %d"%(f.num))

        lines = getLines(file)

    file.close()
    return objects