Mercurial Hosting > traffic-intelligence
annotate python/storage.py @ 342:4d69486869a5
work on loading indicators
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Thu, 20 Jun 2013 15:47:33 -0400 |
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1 #! /usr/bin/env python |
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2 # -*- coding: utf-8 -*- |
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3 '''Various utilities to save and load data''' |
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4 |
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5 import utils, moving, events |
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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, |
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11 'car':2, |
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12 'truck':3} |
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13 |
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14 ######################### |
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15 # Sqlite |
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16 ######################### |
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17 |
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18 def saveTrajectoriesToSqlite(objects, outFilename, trajectoryType, objectNumbers = -1): |
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19 """ |
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20 This function writers trajectories to a specified sqlite file |
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21 @param[in] objects -> a list of trajectories |
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22 @param[in] trajectoryType - |
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23 @param[out] outFile -> the .sqlite file containting the written objects |
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24 @param[in] objectNumber : number of objects loaded |
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25 """ |
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26 |
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27 import sqlite3 |
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28 connection = sqlite3.connect(outFilename) |
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29 cursor = connection.cursor() |
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30 |
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31 schema = "CREATE TABLE IF NOT EXISTS \"positions\"(trajectory_id INTEGER,frame_number INTEGER, x_coordinate REAL, y_coordinate REAL, PRIMARY KEY(trajectory_id, frame_number))" |
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32 cursor.execute(schema) |
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33 |
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34 trajectory_id = 0 |
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35 frame_number = 0 |
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36 if trajectoryType == 'feature': |
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37 if type(objectNumbers) == int and objectNumbers == -1: |
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38 for trajectory in objects: |
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39 trajectory_id += 1 |
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40 frame_number = 0 |
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41 for position in trajectory.getPositions(): |
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42 frame_number += 1 |
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43 query = "insert into positions (trajectory_id, frame_number, x_coordinate, y_coordinate) values (?,?,?,?)" |
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44 cursor.execute(query,(trajectory_id,frame_number,position.x,position.y)) |
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45 |
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46 connection.commit() |
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47 connection.close() |
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48 |
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49 def setRoadUserTypes(filename, objects): |
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50 '''Saves the user types of the objects in the sqlite database stored in filename |
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51 The objects should exist in the objects table''' |
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52 import sqlite3 |
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53 connection = sqlite3.connect(filename) |
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54 cursor = connection.cursor() |
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55 for obj in objects: |
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56 cursor.execute('update objects set road_user_type = {} where object_id = {}'.format(obj.getUserType(), obj.getNum())) |
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57 connection.commit() |
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58 connection.close() |
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59 |
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60 def printDBError(error): |
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61 print('DB Error: {0}'.format(err)) |
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62 |
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63 def loadPrototypeMatchIndexesFromSqlite(filename): |
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64 """ |
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65 This function loads the prototypes table in the database of name <filename>. |
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66 It returns a list of tuples representing matching ids : [(prototype_id, matched_trajectory_id),...] |
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67 """ |
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68 matched_indexes = [] |
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69 |
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70 import sqlite3 |
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72 cursor = connection.cursor() |
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73 |
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74 try: |
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75 cursor.execute('SELECT * from prototypes order by prototype_id, trajectory_id_matched') |
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76 except sqlite3.OperationalError as error: |
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77 printDBError(error) |
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78 return [] |
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79 |
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80 for row in cursor: |
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81 matched_indexes.append((row[0],row[1])) |
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83 connection.close() | |
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84 return matched_indexes |
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85 |
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86 def getTrajectoryIdQuery(objectNumbers, trajectoryType): |
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87 if trajectoryType == 'feature': |
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88 statementBeginning = 'where trajectory_id ' |
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89 elif trajectoryType == 'object': |
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90 statementBeginning = 'and OF.object_id ' |
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91 else: |
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92 print('no trajectory type was chosen') |
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93 |
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94 if type(objectNumbers) == int: |
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95 if objectNumbers == -1: |
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96 query = '' |
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97 else: |
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98 query = statementBeginning+'between 0 and {0} '.format(objectNumbers) |
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99 elif type(objectNumbers) == list: |
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100 query = statementBeginning+'in ('+', '.join([str(n) for n in objectNumbers])+') ' |
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101 return query |
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102 |
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103 def loadTrajectoriesFromTable(connection, tableName, trajectoryType, objectNumbers = -1): |
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104 '''Loads trajectories (in the general sense) from the given table |
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105 can be positions or velocities |
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106 |
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107 returns a moving object''' |
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108 import sqlite3 |
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109 |
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110 cursor = connection.cursor() |
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111 |
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112 try: |
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113 if trajectoryType == 'feature': |
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114 trajectoryIdQuery = getTrajectoryIdQuery(objectNumbers, trajectoryType) |
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115 cursor.execute('SELECT * from '+tableName+' '+trajectoryIdQuery+'order by trajectory_id, frame_number') |
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116 elif trajectoryType == 'object': |
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117 objectIdQuery = getTrajectoryIdQuery(objectNumbers, trajectoryType) |
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118 cursor.execute('SELECT OF.object_id, P.frame_number, avg(P.x_coordinate), avg(P.y_coordinate) from '+tableName+' P, objects_features OF where P.trajectory_id = OF.trajectory_id '+objectIdQuery+'group by OF.object_id, P.frame_number order by OF.object_id, P.frame_number') |
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119 else: |
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120 print('no trajectory type was chosen') |
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121 except sqlite3.OperationalError as error: |
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122 printDBError(error) |
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123 return [] |
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124 |
143
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125 objId = -1 |
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126 obj = None |
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127 objects = [] |
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128 for row in cursor: |
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129 if row[0] != objId: |
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130 objId = row[0] |
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131 if obj: |
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132 objects.append(obj) |
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133 obj = moving.MovingObject(row[0], timeInterval = moving.TimeInterval(row[1], row[1]), positions = moving.Trajectory([[row[2]],[row[3]]])) |
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134 else: |
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135 obj.timeInterval.last = row[1] |
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136 obj.positions.addPositionXY(row[2],row[3]) |
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137 |
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138 if obj: |
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139 objects.append(obj) |
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140 |
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141 return objects |
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142 |
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143 def loadTrajectoriesFromSqlite(filename, trajectoryType, objectNumbers = -1): |
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144 '''Loads nObjects or the indices in objectNumbers from the database |
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145 TODO: load feature numbers and not average feature trajectories |
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146 TODO: other ways of averaging trajectories (load all points, sorted by frame_number and leave the agregation to be done in python) |
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147 ''' |
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148 import sqlite3 |
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149 |
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150 connection = sqlite3.connect(filename) # add test if it open |
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151 |
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152 objects = loadTrajectoriesFromTable(connection, 'positions', trajectoryType, objectNumbers) |
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153 objectVelocities = loadTrajectoriesFromTable(connection, 'velocities', trajectoryType, objectNumbers) |
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154 |
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155 if len(objectVelocities) > 0: |
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156 for o,v in zip(objects, objectVelocities): |
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157 if o.getNum() == v.getNum(): |
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158 o.velocities = v.positions |
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159 else: |
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160 print('Could not match positions {0} with velocities {1}'.format(o.getNum(), v.getNum())) |
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161 |
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162 if trajectoryType == 'object': |
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163 cursor = connection.cursor() |
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164 try: |
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165 # attribute feature numbers to objects |
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166 objectIdQuery = getTrajectoryIdQuery(objectNumbers, trajectoryType) |
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167 cursor.execute('SELECT P.trajectory_id, OF.object_id from positions P, objects_features OF where P.trajectory_id = OF.trajectory_id '+objectIdQuery+'group by P.trajectory_id order by OF.object_id') # order is important to group all features per object |
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168 |
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169 featureNumbers = {} |
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170 for row in cursor: |
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171 objId = row[1] |
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172 if objId not in featureNumbers: |
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173 featureNumbers[objId] = [row[0]] |
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174 else: |
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175 featureNumbers[objId].append(row[0]) |
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176 |
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177 for obj in objects: |
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178 obj.featureNumbers = featureNumbers[obj.getNum()] |
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179 |
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180 # load userType |
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181 if objectIdQuery == '': |
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182 cursor.execute('SELECT object_id, road_user_type from objects') |
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183 else: |
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184 cursor.execute('SELECT object_id, road_user_type from objects where '+objectIdQuery[7:]) |
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185 userTypes = {} |
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186 for row in cursor: |
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187 userTypes[row[0]] = row[1] |
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188 |
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189 for obj in objects: |
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190 obj.userType = userTypes[obj.getNum()] |
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191 |
342
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192 except sqlite3.OperationalError as error: |
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193 printDBError(error) |
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194 return [] |
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195 |
143
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196 connection.close() |
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197 return objects |
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198 |
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199 def removeObjectsFromSqlite(filename): |
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200 'Removes the objects and object_features tables in the filename' |
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201 import sqlite3 |
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202 connection = sqlite3.connect(filename) |
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203 utils.dropTables(connection, ['objects', 'objects_features']) |
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204 connection.close() |
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205 |
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206 def deleteIndicators(filename): |
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207 'Deletes all indicator data in db' |
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208 pass |
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209 |
341
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210 def createInteractionTable(cursor): |
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211 cursor.execute('CREATE TABLE IF NOT EXISTS interactions (id INTEGER PRIMARY KEY, object_id1 INTEGER, object_id2 INTEGER, FOREIGN KEY(object_id1) REFERENCES objects(id), FOREIGN KEY(object_id2) REFERENCES objects(id))') |
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212 |
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213 def createIndicatorTables(cursor): |
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214 # cursor.execute('CREATE TABLE IF NOT EXISTS indicators (id INTEGER PRIMARY KEY, interaction_id INTEGER, indicator_type INTEGER, FOREIGN KEY(interaction_id) REFERENCES interactions(id))') |
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215 # cursor.execute('CREATE TABLE IF NOT EXISTS indicator_values (indicator_id INTEGER, frame_number INTEGER, value REAL, FOREIGN KEY(indicator_id) REFERENCES indicators(id), PRIMARY KEY(indicator_id, frame_number))') |
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216 cursor.execute('CREATE TABLE IF NOT EXISTS indicators (interaction_id INTEGER, indicator_type INTEGER, frame_number INTEGER, value REAL, FOREIGN KEY(interaction_id) REFERENCES interactions(id), PRIMARY KEY(interaction_id, indicator_type, frame_number))') |
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217 |
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218 def saveInteraction(cursor, interaction): |
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219 roadUserNumbers = list(interaction.getRoadUserNumbers()) |
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220 cursor.execute('INSERT INTO interactions VALUES({}, {}, {})'.format(interaction.getNum(), roadUserNumbers[0], roadUserNumbers[1])) |
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221 |
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222 def saveInteractions(filename, interactions): |
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223 'Saves the interactions in the table' |
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224 import sqlite3 |
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225 connection = sqlite3.connect(filename) |
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226 cursor = connection.cursor() |
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227 try: |
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228 createInteractionTable(cursor) |
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229 for inter in interactions: |
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230 saveInteraction(cursor, inter) |
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231 except sqlite3.OperationalError as error: |
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232 printDBError(error) |
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233 connection.commit() |
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234 connection.close() |
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235 |
341
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236 def saveIndicator(cursor, interactionNum, indicator): |
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237 for instant in indicator.getTimeInterval(): |
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238 if indicator[instant]: |
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239 cursor.execute('INSERT INTO indicators VALUES({}, {}, {}, {})'.format(interactionNum, events.Interaction.indicatorNameToIndices[indicator.getName()], instant, indicator[instant])) |
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240 |
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241 def saveIndicators(filename, interactions, indicatorNames): |
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242 'Saves the indicator values in the table' |
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243 import sqlite3 |
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244 connection = sqlite3.connect(filename) |
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245 cursor = connection.cursor() |
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246 try: |
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247 createInteractionTable(cursor) |
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248 createIndicatorTables(cursor) |
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249 for inter in interactions: |
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250 saveInteraction(cursor, inter) |
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251 for indicatorName in indicatorNames: |
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252 indicator = inter.getIndicator(indicatorName) |
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253 if indicator != None: |
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254 saveIndicator(cursor, inter.getNum(), indicator) |
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255 except sqlite3.OperationalError as error: |
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256 printDBError(error) |
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257 connection.commit() |
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258 connection.close() |
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259 |
342
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260 def loadIndicators(filename): |
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261 indicators = [] |
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262 connection = sqlite3.connect(filename) |
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263 cursor = connection.cursor() |
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264 try: |
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265 cursor.execute('select INT.id, INT.object_id1, INT.object_id2, IND.indicator_type, IND.frame_number, IND.value from interactions INT, indicators IND where INT.id = IND.interaction_id, ORDER BY INT.id, IND.indicator_type') |
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266 interactionNum = -1 |
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267 indicatorTypeNum = -1 |
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268 for row in cursor: |
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269 if row[0] != interactionNum: |
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270 if indicatorNum >= 0: |
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271 interactions.append(events.Interaction(interactionNum, moving.TimeInterval(), roadUserNumbers[0], roadUserNumbers[1])) # todo time interval from distance indicator (if available) and link to road user objects |
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272 interactionNum = row[0] |
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273 roadUserNumbers = row[1:3] |
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274 indicatorName = events.Interaction.indicatorNames[row[3]] |
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275 indicatorValues = {row[4]:row[5]} |
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276 # test when new interaction or new indicator indicatorTypeNum != row[3] |
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277 |
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278 except sqlite3.OperationalError as error: |
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279 printDBError(error) |
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280 connection.close() |
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281 |
329
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282 |
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283 ######################### |
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284 # txt files |
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285 ######################### |
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286 |
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287 def loadTrajectoriesFromNgsimFile(filename, nObjects = -1, sequenceNum = -1): |
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288 '''Reads data from the trajectory data provided by NGSIM project |
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289 and returns the list of Feature objects''' |
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290 objects = [] |
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291 |
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292 input = utils.openCheck(filename) |
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293 if not input: |
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294 import sys |
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295 sys.exit() |
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296 |
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297 def createObject(numbers): |
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298 firstFrameNum = int(numbers[1]) |
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299 # do the geometry and usertype |
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300 |
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301 firstFrameNum = int(numbers[1]) |
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302 lastFrameNum = firstFrameNum+int(numbers[2])-1 |
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303 #time = moving.TimeInterval(firstFrameNum, firstFrameNum+int(numbers[2])-1) |
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304 obj = moving.MovingObject(num = int(numbers[0]), |
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305 timeInterval = moving.TimeInterval(firstFrameNum, lastFrameNum), |
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306 positions = moving.Trajectory([[float(numbers[6])],[float(numbers[7])]]), |
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307 userType = int(numbers[10])) |
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308 obj.userType = int(numbers[10]) |
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309 obj.laneNums = [int(numbers[13])] |
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310 obj.precedingVehicles = [int(numbers[14])] # lead vehicle (before) |
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311 obj.followingVehicles = [int(numbers[15])] # following vehicle (after) |
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312 obj.spaceHeadways = [float(numbers[16])] # feet |
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313 obj.timeHeadways = [float(numbers[17])] # seconds |
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314 obj.curvilinearPositions = moving.CurvilinearTrajectory([float(numbers[5])],[float(numbers[4])], obj.laneNums) # X is the longitudinal coordinate |
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315 obj.speeds = [float(numbers[11])] |
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316 obj.size = [float(numbers[8]), float(numbers[9])] # 8 lengh, 9 width # TODO: temporary, should use a geometry object |
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317 return obj |
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318 |
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319 numbers = input.readline().strip().split() |
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320 if (len(numbers) > 0): |
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321 obj = createObject(numbers) |
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322 |
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323 for line in input: |
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324 numbers = line.strip().split() |
329
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325 if obj.getNum() != int(numbers[0]): |
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326 # check and adapt the length to deal with issues in NGSIM data |
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327 if (obj.length() != obj.positions.length()): |
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328 print 'length pb with object %s (%d,%d)' % (obj.getNum(),obj.length(),obj.positions.length()) |
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329 obj.last = obj.getFirstInstant()+obj.positions.length()-1 |
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330 #obj.velocities = utils.computeVelocities(f.positions) # compare norm to speeds ? |
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331 objects.append(obj) |
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332 if (nObjects>0) and (len(objects)>=nObjects): |
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333 break |
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334 obj = createObject(numbers) |
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335 else: |
327
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336 obj.laneNums.append(int(numbers[13])) |
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337 obj.positions.addPositionXY(float(numbers[6]), float(numbers[7])) |
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338 obj.curvilinearPositions.addPosition(float(numbers[5]), float(numbers[4]), obj.laneNums[-1]) |
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339 obj.speeds.append(float(numbers[11])) |
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340 obj.precedingVehicles.append(int(numbers[14])) |
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341 obj.followingVehicles.append(int(numbers[15])) |
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342 obj.spaceHeadways.append(float(numbers[16])) |
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343 obj.timeHeadways.append(float(numbers[17])) |
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344 |
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345 if (obj.size[0] != float(numbers[8])): |
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346 print 'changed length obj %d' % (obj.getNum()) |
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347 if (obj.size[1] != float(numbers[9])): |
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348 print 'changed width obj %d' % (obj.getNum()) |
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349 |
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350 input.close() |
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351 return objects |
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352 |
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353 def convertNgsimFile(inFile, outFile, append = False, nObjects = -1, sequenceNum = 0): |
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354 '''Reads data from the trajectory data provided by NGSIM project |
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355 and converts to our current format.''' |
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356 if append: |
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357 out = open(outFile,'a') |
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358 else: |
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359 out = open(outFile,'w') |
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360 nObjectsPerType = [0,0,0] |
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361 |
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362 features = loadNgsimFile(inFile, sequenceNum) |
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363 for f in features: |
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364 nObjectsPerType[f.userType-1] += 1 |
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365 f.write(out) |
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366 |
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367 print nObjectsPerType |
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368 |
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369 out.close() |
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370 |
335
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371 def writePositionsToCsv(f, obj): |
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372 timeInterval = obj.getTimeInterval() |
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373 positions = obj.getPositions() |
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374 curvilinearPositions = obj.getCurvilinearPositions() |
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375 for i in xrange(int(obj.length())): |
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376 p1 = positions[i] |
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377 s = '{},{},{},{}'.format(obj.num,timeInterval[i],p1.x,p1.y) |
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378 if curvilinearPositions != None: |
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379 p2 = curvilinearPositions[i] |
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380 s += ',{},{}'.format(p2[0],p2[1]) |
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381 f.write(s+'\n') |
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382 |
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383 def writeTrajectoriesToCsv(filename, objects): |
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384 f = open(filename, 'w') |
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385 for i,obj in enumerate(objects): |
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386 writePositionsToCsv(f, obj) |
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387 f.close() |
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388 |
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389 if __name__ == "__main__": |
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390 import doctest |
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391 import unittest |
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392 suite = doctest.DocFileSuite('tests/storage.txt') |
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393 unittest.TextTestRunner().run(suite) |
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394 # #doctest.testmod() |
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395 # #doctest.testfile("example.txt") |