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view trafficintelligence/tests/moving_shapely.txt @ 1242:4cd8ace3552f
major update for classification, allowing the use of neural network classification
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Wed, 07 Feb 2024 11:43:03 -0500 |
parents | cc5cb04b04b0 |
children |
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>>> from moving import * >>> from shapely.geometry import Polygon >>> from shapely.prepared import prep >>> t1 = Trajectory([[0.5,1.5,2.5],[0.5,3.5,6.5]]) >>> poly = Polygon([[0,0],[4,0],[4,3],[0,3]]) >>> sub1, sub2 = t1.getTrajectoryInPolygon(poly) >>> sub1 (0.500000,0.500000) >>> sub1, sub2 = t1.getTrajectoryInPolygon(Polygon([[10,10],[14,10],[14,13],[10,13]])) >>> sub1.length() 0 >>> sub1, sub2 = t1.getTrajectoryInPolygon(prep(poly)) >>> sub1 (0.500000,0.500000) >>> t2 = t1.differentiate(True) >>> sub1, sub2 = t1.getTrajectoryInPolygon(prep(poly), t2) >>> sub1.length() == sub2.length() True >>> sub1 (0.500000,0.500000) >>> sub2 (1.000000,3.000000) >>> t1.proportionInPolygon(poly, 0.5) False >>> t1.proportionInPolygon(poly, 0.3) True