Mercurial > hg > nsaunier > traffic-intelligence

annotate python/ubc_utils.py @ 49:1fb5606506ae

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re-arrangement
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Sat, 25 Sep 2010 11:33:07 -0400
parents 8aed225f71d8
children 3aed17fc468d
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1 #! /usr/bin/env python
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2 '''Various utilities to load data saved by the UBC tool(s)'''
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3
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4 import utils
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5 from moving import MovingObject, TimeInterval, Trajectory
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6
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7 __metaclass__ = type
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8
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9 def getFileType(s):
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10 filePrefix = utils.removeExtension(s)
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11 i = filePrefix.rfind('-')
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12 if i>0:
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13 return filePrefix[i+1:]
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14 else:
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15 return ''
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16
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17 def saveTrajectoryUserTypes(inFilename, outFilename, objects):
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18 '''The program saves the objects,
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19 by just copying the corresponding trajectory and velocity data
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20 from the inFilename, and saving the characteristics in objects (first line)
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21 into outFilename'''
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22 infile = utils.openCheck(inFilename)
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23 outfile = utils.openCheck(outFilename)
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24
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25 if (not infile) | (not outfile):
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26 return
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27
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28 lines = utils.getLines(infile)
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29 objNum = 0
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30 while lines != []:
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31 i = 0
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32 while (i<len(objects)) and (objects[i].num != objNum):
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33 i+=1
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34 if i<len(objects):
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35 l = lines[0].split(' ')
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36 outfile.write()
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37 # next object
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38 objNum += 1
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39 lines = utils.getLines(infile)
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40
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41 def loadTrajectories(filename, nObjects = -1):
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42 '''Loads trajectories'''
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43
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44 file = utils.openCheck(filename)
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45 if (not file):
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46 return []
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47
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48 objects = []
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49 objNum = 0
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50 objectType = getFileType(filename)
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51 lines = utils.getLines(file)
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52 while (lines != []) and ((nObjects<0) or (objNum<nObjects)):
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53 l = lines[0].split(' ')
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54 parsedLine = [int(n) for n in l[:4]]
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55 obj = MovingObject(num = objNum, timeInterval = TimeInterval(parsedLine[1],parsedLine[2]))
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56 #add = True
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57 if len(lines) >= 3:
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58 obj.positions = Trajectory.load(lines[1], lines[2])
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59 if len(lines) >= 5:
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60 obj.velocities = Trajectory.load(lines[3], lines[4])
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61 if objectType == 'objects':
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62 obj.userType = parsedLine[3]
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63 obj.nObjects = float(l[4])
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64 obj.featureNumbers = [int(n) for n in l[5:]]
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65
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66 # load contour data if available
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67 if len(lines) >= 6:
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68 obj.contourType = utils.line2Floats(lines[6])
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69 obj.contourOrigins = Trajectory.load(lines[7], lines[8])
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70 obj.contourSizes = Trajectory.load(lines[9], lines[10])
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71 elif objectType == 'prototypes':
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72 obj.userType = parsedLine[3]
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73 obj.nMatchings = int(l[4])
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74
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75 if len(lines) != 2:
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76 objects.append(obj)
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77 objNum+=1
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78 else:
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79 print("Error two lines of data for feature %d"%(f.num))
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80
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81 lines = utils.getLines(file)
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82
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83 file.close()
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84 return objects
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85
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86 def loadCollisionPoints(filename, nPoints = -1):
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87 '''Loads collision points and returns a dict
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88 with keys as a pair of the numbers of the two interacting objects'''
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89 file = utils.openCheck(filename)
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90 if (not file):
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91 return []
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92
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93 points = {}
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94 num = 0
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95 lines = utils.getLines(file)
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96 while (lines != []) and ((nPoints<0) or (num<nPoints)):
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97 parsedLine = [int(n) for n in lines[0].split(' ')]
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98 protagonistNums = (parsedLine[0], parsedLine[1])
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99 points[protagonistNums] = [[float(n) for n in lines[1].split(' ')],
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100 [float(n) for n in lines[2].split(' ')]]
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101
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102 num+=1
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103 lines = utils.getLines(file)
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104
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105 file.close()
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106 return points