Mercurial Hosting > traffic-intelligence
annotate python/storage.py @ 203:e2f31813ade6
added code to display trajectories on videa
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Tue, 06 Mar 2012 18:10:19 -0500 |
parents | 319a04ba9033 |
children | 966c2cd2bd9f |
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1 #! /usr/bin/env python |
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2 '''Various utilities to save and load data''' |
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3 |
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4 import utils |
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5 import moving |
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6 |
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7 __metaclass__ = type |
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8 |
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9 |
50 | 10 ngsimUserTypes = {'twowheels':1, |
11 'car':2, | |
12 'truck':3} | |
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13 |
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14 def loadTrajectoriesFromSqlite(filename, objectNumbers = -1): |
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15 '''Loads nObjects or the indices in objectNumbers from the database |
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16 TODO: load velocities''' |
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17 import sqlite3 |
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18 |
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19 connection = sqlite3.connect(filename) # add test if it open |
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20 cursor = connection.cursor() |
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21 |
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22 if type(objectNumbers) == int: |
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23 if objectNumbers == -1: |
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24 cursor.execute('SELECT * from positions order by trajectory_id, frame_number') |
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25 else: |
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26 cursor.execute('SELECT * from positions where trajectory_id between 0 and {0} order by trajectory_id, frame_number'.format(objectNumbers)) |
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27 elif type(objectNumbers) == list: |
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28 cursor.execute('SELECT * from positions where trajectory_id in (' |
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29 +', '.join([str(n) for n in objectNumbers]) |
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30 +') order by trajectory_id, frame_number') |
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31 |
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32 objId = -1 |
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33 obj = None |
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34 objects = [] |
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35 for row in cursor: |
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36 if row[0] != objId: |
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37 objId = row[0] |
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38 if obj: |
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39 objects.append(obj) |
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40 obj = moving.MovingObject(row[0], timeInterval = moving.TimeInterval(row[1], row[1]), positions = moving.Trajectory([[row[2]],[row[3]]])) |
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41 else: |
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42 obj.timeInterval.last = row[1] |
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43 obj.positions.addPositionXY(row[2],row[3]) |
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44 |
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45 if obj: |
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46 objects.append(obj) |
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47 |
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48 connection.close() |
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49 return objects |
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50 |
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51 def loadObjectsFromSqlite(filename, objectNumbers = -1): |
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52 '''Loads objects as averages of feature trajectories |
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53 TODO: load features as well, other ways of averaging trajectories |
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54 need to provide table name(s) ?''' |
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55 # elect frame_number, avg(x_coordinate), avg(y_coordinate) from positions where trajectory_id in (select trajectory_id from objects_features where object_id=12) group by frame_number; |
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56 |
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57 |
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58 |
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59 |
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60 def loadTrajectoriesFromNgsimFile(filename, nObjects = -1, sequenceNum = -1): |
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61 '''Reads data from the trajectory data provided by NGSIM project |
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62 and returns the list of Feature objects''' |
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63 objects = [] |
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64 |
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65 input = utils.openCheck(filename) |
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66 if not input: |
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67 import sys |
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68 sys.exit() |
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69 |
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70 def createObject(numbers): |
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71 firstFrameNum = int(numbers[1]) |
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72 # do the geometry and usertype |
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73 |
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74 firstFrameNum = int(numbers[1]) |
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75 lastFrameNum = firstFrameNum+int(numbers[2])-1 |
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76 #time = moving.TimeInterval(firstFrameNum, firstFrameNum+int(numbers[2])-1) |
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77 obj = moving.MovingObject(num = int(numbers[0]), |
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78 timeInterval = moving.TimeInterval(firstFrameNum, lastFrameNum), |
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79 positions = moving.Trajectory([[float(numbers[6])],[float(numbers[7])]]), |
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80 userType = int(numbers[10])) |
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81 obj.userType = int(numbers[10]) |
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82 obj.laneNums = [int(numbers[13])] |
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83 obj.precedingVehicles = [int(numbers[14])] # lead vehicle (before) |
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84 obj.followingVehicles = [int(numbers[15])] # following vehicle (after) |
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85 obj.spaceHeadways = [float(numbers[16])] # feet |
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86 obj.timeHeadways = [float(numbers[17])] # seconds |
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87 obj.curvilinearPositions = moving.Trajectory([[float(numbers[5])],[float(numbers[4])]]) # X is the longitudinal coordinate |
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88 obj.speeds = [float(numbers[11])] |
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89 obj.size = [float(numbers[8]), float(numbers[9])] # 8 lengh, 9 width # TODO: temporary, should use a geometry object |
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90 return obj |
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91 |
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92 numbers = input.readline().strip().split() |
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93 if (len(numbers) > 0): |
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94 obj = createObject(numbers) |
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95 |
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96 for line in input: |
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97 numbers = line.strip().split() |
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98 if obj.num != int(numbers[0]): |
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99 # check and adapt the length to deal with issues in NGSIM data |
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100 if (obj.length() != obj.positions.length()): |
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101 print 'length pb with object %s (%d,%d)' % (obj.num,obj.length(),obj.positions.length()) |
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102 obj.last = obj.getFirstInstant()+obj.positions.length()-1 |
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103 #obj.velocities = utils.computeVelocities(f.positions) # compare norm to speeds ? |
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104 objects.append(obj) |
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105 if (nObjects>0) and (len(objects)>=nObjects): |
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106 break |
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107 obj = createObject(numbers) |
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108 else: |
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109 obj.positions.addPositionXY(float(numbers[6]), float(numbers[7])) |
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110 obj.curvilinearPositions.addPositionXY(float(numbers[5]), float(numbers[4])) |
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111 obj.speeds.append(float(numbers[11])) |
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112 obj.laneNums.append(int(numbers[13])) |
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113 obj.precedingVehicles.append(int(numbers[14])) |
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114 obj.followingVehicles.append(int(numbers[15])) |
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115 obj.spaceHeadways.append(float(numbers[16])) |
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116 obj.timeHeadways.append(float(numbers[17])) |
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117 |
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118 if (obj.size[0] != float(numbers[8])): |
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119 print 'changed length obj %d' % (f.num) |
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120 if (obj.size[1] != float(numbers[9])): |
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121 print 'changed width obj %d' % (f.num) |
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122 |
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123 input.close() |
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124 return objects |
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125 |
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126 def convertNgsimFile(inFile, outFile, append = False, nObjects = -1, sequenceNum = 0): |
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127 '''Reads data from the trajectory data provided by NGSIM project |
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128 and converts to our current format.''' |
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129 if append: |
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130 out = open(outFile,'a') |
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131 else: |
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132 out = open(outFile,'w') |
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133 nObjectsPerType = [0,0,0] |
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134 |
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135 features = loadNgsimFile(inFile, sequenceNum) |
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136 for f in features: |
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137 nObjectsPerType[f.userType-1] += 1 |
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138 f.write(out) |
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139 |
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140 print nObjectsPerType |
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141 |
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142 out.close() |
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143 |
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144 |
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145 |
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146 |
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147 # if __name__ == "__main__": |
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148 # import doctest |
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149 # import unittest |
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150 # suite = doctest.DocFileSuite('tests/ubc_utils.txt') |
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151 # unittest.TextTestRunner().run(suite) |
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152 # #doctest.testmod() |
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153 # #doctest.testfile("example.txt") |