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annotate python/tests/prediction.txt @ 509:935430b1d408
corrected mask bug in feature tracking, updated display-trajectories to display on undistorted image
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Fri, 23 May 2014 16:27:26 -0400 |
parents | e891a41c6c75 |
children | 72174e66aba5 |
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1 >>> import prediction |
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2 >>> import moving |
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3 |
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4 >>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0)) |
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5 >>> et.predictPosition(4) # doctest:+ELLIPSIS |
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6 (4.0...,0.0...) |
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7 >>> et.predictPosition(1) # doctest:+ELLIPSIS |
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8 (1.0...,0.0...) |
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9 |
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10 >>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0), moving.NormAngle(0.1,0), maxSpeed = 2) |
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11 >>> et.predictPosition(10) # doctest:+ELLIPSIS |
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12 (15.5...,0.0...) |
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13 >>> et.predictPosition(11) # doctest:+ELLIPSIS |
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14 (17.5...,0.0...) |
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15 >>> et.predictPosition(12) # doctest:+ELLIPSIS |
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16 (19.5...,0.0...) |
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17 |
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18 >>> import random |
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19 >>> acceleration = lambda: random.uniform(-0.5,0.5) |
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20 >>> steering = lambda: random.uniform(-0.1,0.1) |
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21 >>> et = prediction.PredictedTrajectoryRandomControl(moving.Point(0,0),moving.Point(1,1), acceleration, steering, maxSpeed = 2) |
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22 >>> p = et.predictPosition(500) |
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23 >>> from numpy import max |
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24 >>> max(et.getPredictedSpeeds()) <= 2. |
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25 True |
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26 |
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27 >>> p = moving.Point(3,4) |
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28 >>> sp = prediction.SafetyPoint(p, 0.1, 0) |
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29 >>> print(sp) |
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30 3 4 0.1 0 |