Mercurial Hosting > traffic-intelligence
changeset 835:f3ae72d86762
added option to subsample positions to learn motion patterns
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 05 Jul 2016 13:56:13 -0400 |
| parents | 119c4efe6398 |
| children | 7058a40a4bbc |
| files | scripts/learn-motion-patterns.py |
| diffstat | 1 files changed, 2 insertions(+), 1 deletions(-) [+] |
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--- a/scripts/learn-motion-patterns.py Thu Jun 30 14:19:59 2016 -0400 +++ b/scripts/learn-motion-patterns.py Tue Jul 05 13:56:13 2016 -0400 @@ -17,6 +17,7 @@ parser.add_argument('--metric', dest = 'metric', help = 'metric for the similarity of trajectory points', default = 'cityblock') # default is manhattan distance parser.add_argument('-s', dest = 'minSimilarity', help = 'minimum similarity to put a trajectory in a cluster', type = float, required = True) parser.add_argument('-c', dest = 'minClusterSize', help = 'minimum cluster size', type = int, default = None) +parser.add_argument('--subsample', dest = 'positionSubsamplingRate', help = 'rate of position subsampling (1 every n positions)', type = int, default = None) parser.add_argument('--display', dest = 'display', help = 'display trajectories', action = 'store_true') # default is manhattan distance args = parser.parse_args() @@ -29,7 +30,7 @@ trajectoryType = 'object' #features = storage.loadTrajectoriesFromSqlite(databaseFilename, args.trajectoryType) -objects = storage.loadTrajectoriesFromSqlite(args.databaseFilename, trajectoryType, withFeatures = (args.trajectoryType == 'objectfeatures'), objectNumbers = args.nTrajectories) +objects = storage.loadTrajectoriesFromSqlite(args.databaseFilename, trajectoryType, withFeatures = (args.trajectoryType == 'objectfeatures'), objectNumbers = args.nTrajectories, timeStep = args.positionSubsamplingRate) if args.trajectoryType == 'objectfeatures': features = []