Mercurial > hg > nsaunier > traffic-intelligence
comparison python/tests/moving.txt @ 345:fa64b2e3a64f
added simple classification based on speed
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 25 Jun 2013 23:43:32 -0400 |
| parents | f2cf16ad798f |
| children | 027e254f0b53 |
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| 344:14a2405f54f8 | 345:fa64b2e3a64f |
|---|---|
| 77 | 77 |
| 78 >>> Trajectory.norm2LCSS(t1, t1, 0.1) | 78 >>> Trajectory.norm2LCSS(t1, t1, 0.1) |
| 79 3 | 79 3 |
| 80 >>> Trajectory.normMaxLCSS(t1, t1, 0.1) | 80 >>> Trajectory.normMaxLCSS(t1, t1, 0.1) |
| 81 3 | 81 3 |
| 82 | |
| 83 >>> o1 = MovingObject(positions = Trajectory([[0]*3,[2]*3]), velocities = Trajectory([[0]*3,[1]*3])) | |
| 84 >>> o1.classifyUserTypeSpeed(0.5, np.median) | |
| 85 >>> userTypeNames[o1.getUserType()] | |
| 86 'car' | |
| 87 >>> o1.classifyUserTypeSpeed(0.5, np.mean) | |
| 88 >>> userTypeNames[o1.getUserType()] | |
| 89 'car' | |
| 90 >>> o1.classifyUserTypeSpeed(1.5, np.median) | |
| 91 >>> userTypeNames[o1.getUserType()] | |
| 92 'pedestrian' |
