Mercurial Hosting > traffic-intelligence
annotate trafficintelligence/tests/moving.txt @ 1102:cdf1773ba89e
corrected bug
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Wed, 27 Feb 2019 16:28:08 -0500 |
parents | b3f8b26ee838 |
children | 799ef82caa1a |
rev | line source |
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1 >>> from trafficintelligence.moving import * |
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2 >>> from trafficintelligence import storage |
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3 >>> import numpy as np |
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4 |
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5 >>> Interval().empty() |
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6 True |
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7 >>> Interval(0,1).empty() |
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8 False |
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9 >>> Interval(0,1) |
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10 0-1 |
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11 >>> Interval(0,1).length() |
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12 1.0 |
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13 >>> Interval(23.2,24.9).length() |
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14 1.6999999999999993 |
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15 >>> Interval(10,8).length() |
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16 0.0 |
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17 |
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18 >>> i = Interval.parse('3-5') |
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19 >>> i.first == 3 and i.last == 5 |
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20 True |
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21 >>> type(i) |
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22 <class 'trafficintelligence.moving.Interval'> |
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23 >>> i = TimeInterval.parse('3-5') |
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24 >>> type(i) |
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25 <class 'trafficintelligence.moving.TimeInterval'> |
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26 >>> list(i) |
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27 [3, 4, 5] |
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28 |
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29 >>> TimeInterval(0,1).length() |
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30 2.0 |
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31 >>> TimeInterval(10,8).length() |
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32 0.0 |
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33 >>> TimeInterval(10,8) == TimeInterval(10,8) |
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34 True |
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35 >>> TimeInterval(10,8) == TimeInterval(8,10) |
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36 True |
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37 >>> TimeInterval(11,8) == TimeInterval(10,8) |
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38 False |
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39 |
107
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40 >>> [i for i in TimeInterval(9,13)] |
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41 [9, 10, 11, 12, 13] |
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42 |
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43 >>> TimeInterval(2,5).equal(TimeInterval(2,5)) |
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44 True |
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45 >>> TimeInterval(2,5).equal(TimeInterval(2,4)) |
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46 False |
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47 >>> TimeInterval(2,5).equal(TimeInterval(5,2)) |
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48 False |
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49 |
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50 >>> TimeInterval(3,6).distance(TimeInterval(4,6)) |
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51 0 |
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52 >>> TimeInterval(3,6).distance(TimeInterval(6,10)) |
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53 0 |
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54 >>> TimeInterval(3,6).distance(TimeInterval(8,10)) |
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55 2 |
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56 >>> TimeInterval(20,30).distance(TimeInterval(3,15)) |
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57 5 |
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58 >>> TimeInterval.unionIntervals([TimeInterval(3,6), TimeInterval(8,10),TimeInterval(11,15)]) |
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59 3-15 |
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60 |
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61 >>> Point(0,3) == Point(0,3) |
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62 True |
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63 >>> Point(0,3) == Point(0,3.2) |
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64 False |
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65 >>> Point(3,4)-Point(1,7) |
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66 (2.000000,-3.000000) |
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Point/CurvilinearTrajectory/Interaction utiles
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67 >>> -Point(1,2) |
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68 (-1.000000,-2.000000) |
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69 >>> Point(1,2)*0.5 |
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70 (0.500000,1.000000) |
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71 |
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72 >>> Point(3,2).norm2Squared() |
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73 13 |
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74 |
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75 >>> Point.distanceNorm2(Point(3,4),Point(1,7)) |
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76 3.605551275463989 |
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77 |
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78 >>> Point(3,2).inPolygon(np.array([[0,0],[1,0],[1,1],[0,1]])) |
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79 False |
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80 >>> Point(3,2).inPolygon(np.array([[0,0],[4,0],[4,3],[0,3]])) |
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81 True |
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82 |
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83 >>> predictPositionNoLimit(10, Point(0,0), Point(1,1)) # doctest:+ELLIPSIS |
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84 ((1.0...,1.0...), (10.0...,10.0...)) |
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85 |
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86 >>> segmentIntersection(Point(0,0), Point(0,1), Point(1,1), Point(2,3)) |
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87 >>> segmentIntersection(Point(0,1), Point(0,3), Point(1,0), Point(3,1)) |
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88 >>> segmentIntersection(Point(0.,0.), Point(2.,2.), Point(0.,2.), Point(2.,0.)) |
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89 (1.000000,1.000000) |
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90 >>> segmentIntersection(Point(0,0), Point(4,4), Point(0,4), Point(4,0)) |
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91 (2.000000,2.000000) |
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92 >>> segmentIntersection(Point(0,1), Point(1,2), Point(2,0), Point(3,2)) |
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93 |
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94 >>> t1 = Trajectory.fromPointList([(92.2, 102.9), (56.7, 69.6)]) |
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95 >>> t2 = Trajectory.fromPointList([(92.2, 102.9), (56.7, 69.6)]) |
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96 >>> t1 == t2 |
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97 True |
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98 >>> t3 = Trajectory.fromPointList([(92.24, 102.9), (56.7, 69.6)]) |
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99 >>> t1 == t3 |
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100 False |
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101 >>> t3 = Trajectory.fromPointList([(92.2, 102.9), (56.7, 69.6), (56.7, 69.6)]) |
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102 >>> t1 == t3 |
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103 False |
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104 |
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105 >>> left = Trajectory.fromPointList([(92.291666666666686, 102.99239033124439), (56.774193548387103, 69.688898836168306)]) |
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106 >>> middle = Trajectory.fromPointList([(87.211021505376351, 93.390778871978512), (59.032258064516128, 67.540286481647257)]) |
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107 >>> right = Trajectory.fromPointList([(118.82392473118281, 115.68263205013426), (63.172043010752688, 66.600268576544309)]) |
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108 >>> alignments = [left, middle, right] |
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109 >>> for a in alignments: a.computeCumulativeDistances() |
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110 >>> getSYfromXY(Point(73, 82), alignments) |
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111 [1, 0, (73.819977,81.106170), 18.172277808821125, 18.172277808821125, 1.2129694042343868] |
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112 >>> getSYfromXY(Point(78, 83), alignments, 0.5) |
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113 [1, 0, (77.033188,84.053889), 13.811799123113715, 13.811799123113715, -1.4301775140225983] |
152
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114 |
113
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115 >>> Trajectory().length() |
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116 0 |
69
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117 >>> t1 = Trajectory([[0.5,1.5,2.5],[0.5,3.5,6.5]]) |
91
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118 >>> t1.length() == 3. |
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119 True |
69
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120 >>> t1[1] |
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121 (1.500000,3.500000) |
284
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122 |
542
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123 >>> t1.differentiate() |
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124 (1.000000,3.000000) (1.000000,3.000000) |
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125 >>> t1.differentiate(True) |
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126 (1.000000,3.000000) (1.000000,3.000000) (1.000000,3.000000) |
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127 >>> t1 = Trajectory([[0.5,1.5,3.5],[0.5,2.5,7.5]]) |
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128 >>> t1.differentiate() |
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129 (1.000000,2.000000) (2.000000,5.000000) |
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130 |
576
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131 >>> t1.computeCumulativeDistances() |
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132 >>> t1.getDistance(0) |
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133 2.23606797749979 |
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134 >>> t1.getDistance(1) |
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135 5.385164807134504 |
577
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136 >>> t1.getDistance(2) |
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137 Index 2 beyond trajectory length 3-1 |
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138 >>> t1.getCumulativeDistance(0) |
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139 0.0 |
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140 >>> t1.getCumulativeDistance(1) |
577
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141 2.23606797749979 |
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142 >>> t1.getCumulativeDistance(2) |
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143 7.6212327846342935 |
577
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144 >>> t1.getCumulativeDistance(3) |
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145 Index 3 beyond trajectory length 3 |
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146 |
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147 |
369
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148 >>> from utils import LCSS |
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149 >>> lcss = LCSS(lambda x,y: Point.distanceNorm2(x,y) <= 0.1) |
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150 >>> Trajectory.lcss(t1, t1, lcss) |
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151 3 |
369
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152 >>> lcss = LCSS(lambda p1, p2: (p1-p2).normMax() <= 0.1) |
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153 >>> Trajectory.lcss(t1, t1, lcss) |
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154 3 |
345
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155 |
504
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156 >>> p1=Point(0,0) |
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157 >>> p2=Point(1,0) |
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158 >>> v1 = Point(0.1,0.1) |
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159 >>> v2 = Point(-0.1, 0.1) |
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160 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.)-5.0) < 0.00001 |
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161 True |
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162 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.1)-4.5) < 0.00001 |
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163 True |
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164 >>> p1=Point(0,1) |
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165 >>> p2=Point(1,0) |
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166 >>> v1 = Point(0,0.1) |
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167 >>> v2 = Point(0.1, 0) |
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168 >>> Point.timeToCollision(p1, p2, v1, v2, 0.) == None |
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169 True |
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170 >>> Point.timeToCollision(p2, p1, v2, v1, 0.) == None |
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171 True |
583
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172 >>> Point.midPoint(p1, p2) |
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173 (0.500000,0.500000) |
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174 >>> p1=Point(0.,0.) |
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175 >>> p2=Point(5.,0.) |
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176 >>> v1 = Point(2.,0.) |
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177 >>> v2 = Point(1.,0.) |
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178 >>> Point.timeToCollision(p1, p2, v1, v2, 0.) |
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179 5.0 |
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180 >>> Point.timeToCollision(p1, p2, v1, v2, 1.) |
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181 4.0 |
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182 |
661
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183 >>> objects = storage.loadTrajectoriesFromSqlite('../samples/laurier.sqlite', 'object') |
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184 >>> len(objects) |
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185 5 |
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186 >>> objects[0].hasFeatures() |
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187 False |
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188 >>> features = storage.loadTrajectoriesFromSqlite('../samples/laurier.sqlite', 'feature') |
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189 >>> for o in objects: o.setFeatures(features) |
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190 >>> objects[0].hasFeatures() |
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191 True |
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192 |
918
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193 >>> o1 = MovingObject.generate(1, Point(-5.,0.), Point(1.,0.), TimeInterval(0,10)) |
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194 >>> o1.getNObjects() is None |
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195 True |
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196 >>> o1.setNObjects(1.1) |
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197 >>> o1.setNObjects(0.5) |
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198 Number of objects represented by object 1 must be greater or equal to 1 (0.5) |
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199 >>> o2 = MovingObject.generate(2, Point(0.,-5.), Point(0.,1.), TimeInterval(0,10)) |
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200 >>> MovingObject.computePET(o1, o2, 0.1) |
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201 (0.0, 5, 5) |
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202 >>> o2 = MovingObject.generate(2, Point(0.,-5.), Point(0.,1.), TimeInterval(5,15)) |
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203 >>> MovingObject.computePET(o1, o2, 0.1) |
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204 (5.0, 5, 10) |
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205 >>> o2 = MovingObject.generate(2, Point(0.,-5.), Point(0.,1.), TimeInterval(15,30)) |
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206 >>> MovingObject.computePET(o1, o2, 0.1) |
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207 (15.0, 5, 20) |
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208 |
1094
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adding functions for simulation, with contribution from student Lionel Nebot-Janvier, lionel.nebot-janvier@polymtl.ca
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209 >>> t1 = CurvilinearTrajectory.generate(3, 1., 10, 'b') |
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210 >>> t1.length() |
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211 10 |
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212 >>> t1[3] |
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213 [6.0, 0, 'b'] |
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214 >>> t2 = CurvilinearTrajectory.generate(15, 1., 10, 'a', 1.) |
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215 >>> t2[4] |
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216 [19.0, 1.0, 'a'] |
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217 >>> t1.append(t2) |
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218 >>> t1.length() |
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219 20 |
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220 >>> t1[9] |
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221 [12.0, 0, 'b'] |
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222 >>> o = MovingObject(0, TimeInterval(1,21)) |
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223 >>> o.curvilinearPositions = t1 |
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224 >>> o.interpolateCurvilinearPositions(2.3) |
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225 [4.3, 0.0, 'b'] |
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226 >>> o.interpolateCurvilinearPositions(10.7) # doctest:+ELLIPSIS |
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227 [14.09999..., 0.69999..., 'a'] |
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228 |
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229 >>> a = Trajectory.generate(Point(0.,0.), Point(10.,0.), 4) |
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230 >>> t = Trajectory.generate(Point(0.1,-1.), Point(1.,0.), 22) |
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231 >>> prepareAlignments([a]) |
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232 >>> ct = CurvilinearTrajectory.fromTrajectoryProjection(t, [a]) |
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233 >>> ct[3] |
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234 [3.1, 1.0, 0] |
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235 >>> p = getXYfromSY(ct[3][0], ct[3][1], ct[3][2], [a]) |
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236 >>> (Point(p[0], p[1])-t[3]).norm2() < 1e-10 |
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237 True |
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238 >>> p = getXYfromSY(ct[21][0], ct[21][1], ct[21][2], [a]) |
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239 >>> (Point(p[0], p[1])-t[21]).norm2() < 1e-10 |
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240 True |
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241 |
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242 >>> t = CurvilinearTrajectory(S = [1., 2., 3., 5.], Y = [0.5, 0.5, 0.6, 0.7], lanes = ['1']*4) |
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243 >>> t.differentiate() # doctest:+ELLIPSIS |
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244 [1.0, 0.0, None] [1.0, 0.099..., None] [2.0, 0.099..., None] |
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245 >>> t.differentiate(True) # doctest:+ELLIPSIS |
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246 [1.0, 0.0, None] [1.0, 0.099..., None] [2.0, 0.099..., None] [2.0, 0.099..., None] |
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247 >>> t = CurvilinearTrajectory(S = [1.], Y = [0.5], lanes = ['1']) |
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248 >>> t.differentiate().empty() |
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249 True |
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250 |
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251 >>> o1 = MovingObject.generate(1, Point(1., 2.), Point(1., 1.), TimeInterval(0,10)) |
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252 >>> o1.features = [o1] |
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253 >>> o2 = MovingObject.generate(2, Point(14., 14.), Point(1., 0.), TimeInterval(14,20)) |
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254 >>> o2.features = [o2] |
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255 >>> o3 = MovingObject.generate(3, Point(2., 2.), Point(1., 1.), TimeInterval(2,12)) |
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256 >>> o3.features = [o3] |
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257 >>> o13 = MovingObject.concatenate(o1, o3, 4) |
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258 >>> o13.getNum() |
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259 4 |
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260 >>> o13.getTimeInterval() == TimeInterval(0,12) |
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261 True |
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262 >>> t=5 |
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263 >>> o13.getPositionAtInstant(t) == (o1.getPositionAtInstant(t)+o3.getPositionAtInstant(t)).divide(2) |
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264 True |
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265 >>> len(o13.getFeatures()) |
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266 2 |
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267 >>> o12 = MovingObject.concatenate(o1, o2, 5) |
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268 >>> o12.getTimeInterval() == TimeInterval(o1.getFirstInstant(), o2.getLastInstant()) |
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269 True |
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270 >>> v = o12.getVelocityAtInstant(12) |
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271 >>> v == Point(3./4, 2./4) |
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272 True |
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273 >>> o12.getPositionAtInstant(11) == o1.getPositionAtInstant(10)+v |
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274 True |
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275 >>> len(o12.getFeatures()) |
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276 3 |
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277 |
918
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278 >>> o1 = MovingObject.generate(1, Point(0., 2.), Point(0., 1.), TimeInterval(0,2)) |
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279 >>> o1.classifyUserTypeSpeedMotorized(0.5, np.median) |
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280 >>> userTypeNames[o1.getUserType()] |
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281 'car' |
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282 >>> o1.classifyUserTypeSpeedMotorized(1.5, np.median) |
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283 >>> userTypeNames[o1.getUserType()] |
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284 'pedestrian' |
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285 |
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286 >>> o1 = MovingObject.generate(1, Point(0.,0.), Point(1.,0.), TimeInterval(0,10)) |
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287 >>> gt1 = BBMovingObject(1, TimeInterval(0,10), MovingObject.generate(1, Point(0.2,0.6), Point(1.,0.), TimeInterval(0,10)), MovingObject.generate(2, Point(-0.2,-0.4), Point(1.,0.), TimeInterval(0,10))) |
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288 >>> gt1.computeCentroidTrajectory() |
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289 >>> computeClearMOT([gt1], [], 0.2, 0, 10) |
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290 (None, 0.0, 11, 0, 0, 11, None, None) |
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291 >>> computeClearMOT([], [o1], 0.2, 0, 10) |
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292 (None, None, 0, 0, 11, 0, None, None) |
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293 >>> computeClearMOT([gt1], [o1], 0.2, 0, 10) # doctest:+ELLIPSIS |
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294 (0.0999..., 1.0, 0, 0, 0, 11, None, None) |
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295 >>> computeClearMOT([gt1], [o1], 0.05, 0, 10) |
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296 (None, -1.0, 11, 0, 11, 11, None, None) |
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297 |
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298 >>> o1 = MovingObject(1, TimeInterval(0,3), positions = Trajectory([list(range(4)), [0.1, 0.1, 1.1, 1.1]])) |
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299 >>> o2 = MovingObject(2, TimeInterval(0,3), positions = Trajectory([list(range(4)), [0.9, 0.9, -0.1, -0.1]])) |
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300 >>> gt1 = BBMovingObject(1, TimeInterval(0,3), MovingObject(positions = Trajectory([list(range(4)), [0.]*4])), MovingObject(positions = Trajectory([list(range(4)), [0.]*4]))) |
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301 >>> gt1.computeCentroidTrajectory() |
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302 >>> gt2 = BBMovingObject(2, TimeInterval(0,3), MovingObject(positions = Trajectory([list(range(4)), [1.]*4])), MovingObject(positions = Trajectory([list(range(4)), [1.]*4]))) |
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303 >>> gt2.computeCentroidTrajectory() |
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304 >>> computeClearMOT([gt1, gt2], [o1, o2], 0.2, 0, 3) # doctest:+ELLIPSIS |
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305 (0.1..., 0.75, 0, 2, 0, 8, None, None) |
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306 >>> computeClearMOT([gt2, gt1], [o2, o1], 0.2, 0, 3) # doctest:+ELLIPSIS |
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307 (0.1..., 0.75, 0, 2, 0, 8, None, None) |
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308 >>> computeClearMOT([gt1], [o1, o2], 0.2, 0, 3) |
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309 (0.1, -0.25, 0, 1, 4, 4, None, None) |
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310 >>> computeClearMOT([gt1], [o2, o1], 0.2, 0, 3) # symmetry |
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4f32d82ca390
corrected error due to change in Hog (scikit image)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
940
diff
changeset
|
311 (0.1, -0.25, 0, 1, 4, 4, None, None) |
595
17b02c8054d0
added tests and corrected one bug
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
583
diff
changeset
|
312 >>> computeClearMOT([gt1, gt2], [o1], 0.2, 0, 3) # doctest:+ELLIPSIS |
959
4f32d82ca390
corrected error due to change in Hog (scikit image)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
940
diff
changeset
|
313 (0.100..., 0.375, 4, 1, 0, 8, None, None) |
595
17b02c8054d0
added tests and corrected one bug
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
583
diff
changeset
|
314 >>> computeClearMOT([gt2, gt1], [o1], 0.2, 0, 3) # doctest:+ELLIPSIS |
959
4f32d82ca390
corrected error due to change in Hog (scikit image)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
940
diff
changeset
|
315 (0.100..., 0.375, 4, 1, 0, 8, None, None) |
595
17b02c8054d0
added tests and corrected one bug
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
583
diff
changeset
|
316 >>> computeClearMOT([gt1, gt2], [o1, o2], 0.08, 0, 3) |
959
4f32d82ca390
corrected error due to change in Hog (scikit image)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents:
940
diff
changeset
|
317 (None, -1.0, 8, 0, 8, 8, None, None) |