Mercurial > hg > nsaunier > traffic-intelligence

comparison python/tests/prediction.txt @ 1012:01db14e947e4

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author Wendlasida
date Fri, 01 Jun 2018 10:47:49 -0400
parents 933670761a57
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1011:4f0312bee393 1012:01db14e947e4
49 >>> proto = storage.loadTrajectoriesFromSqlite('../samples/laurier.sqlite', 'feature', [1204])[0] 49 >>> proto = storage.loadTrajectoriesFromSqlite('../samples/laurier.sqlite', 'feature', [1204])[0]
50 >>> proto.getPositions().computeCumulativeDistances() 50 >>> proto.getPositions().computeCumulativeDistances()
51 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(10)+moving.Point(0.5, 0.5), proto.getVelocityAt(10)*0.9, proto, True) 51 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(10)+moving.Point(0.5, 0.5), proto.getVelocityAt(10)*0.9, proto, True)
52 >>> absolute(et.initialSpeed - proto.getVelocityAt(10).norm2()*0.9) < 1e-5 52 >>> absolute(et.initialSpeed - proto.getVelocityAt(10).norm2()*0.9) < 1e-5
53 True 53 True
54 >>> for t in xrange(int(proto.length())): x=et.predictPosition(t) 54 >>> for t in range(int(proto.length())): x=et.predictPosition(t)
55 >>> traj = et.getPredictedTrajectory() 55 >>> traj = et.getPredictedTrajectory()
56 >>> traj.computeCumulativeDistances() 56 >>> traj.computeCumulativeDistances()
57 >>> absolute(array(traj.distances).mean() - et.initialSpeed < 1e-3) 57 >>> absolute(array(traj.distances).mean() - et.initialSpeed < 1e-3)
58 True 58 True
59 59
60 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(10)+moving.Point(0.6, 0.6), proto.getVelocityAt(10)*0.7, proto, False) 60 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(10)+moving.Point(0.6, 0.6), proto.getVelocityAt(10)*0.7, proto, False)
61 >>> absolute(et.initialSpeed - proto.getVelocityAt(10).norm2()*0.7) < 1e-5 61 >>> absolute(et.initialSpeed - proto.getVelocityAt(10).norm2()*0.7) < 1e-5
62 True 62 True
63 >>> proto = moving.MovingObject.generate(1, moving.Point(-5.,0.), moving.Point(1.,0.), moving.TimeInterval(0,10)) 63 >>> proto = moving.MovingObject.generate(1, moving.Point(-5.,0.), moving.Point(1.,0.), moving.TimeInterval(0,10))
64 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(0)+moving.Point(0., 1.), proto.getVelocityAt(0)*0.5, proto, False) 64 >>> et = PredictedTrajectoryPrototype(proto.getPositionAt(0)+moving.Point(0., 1.), proto.getVelocityAt(0)*0.5, proto, False)
65 >>> for t in xrange(int(proto.length()/0.5)): x=et.predictPosition(t) 65 >>> for t in range(int(proto.length()/0.5)): x=et.predictPosition(t)
66 >>> et.predictPosition(10) # doctest:+ELLIPSIS 66 >>> et.predictPosition(10) # doctest:+ELLIPSIS
67 (0.0...,1.0...) 67 (0.0...,1.0...)
68 >>> et.predictPosition(12) # doctest:+ELLIPSIS 68 >>> et.predictPosition(12) # doctest:+ELLIPSIS
69 (1.0...,1.0...) 69 (1.0...,1.0...)
70 70