Mercurial Hosting > traffic-intelligence
changeset 1032:d0e339359d8a
work in progress
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 19 Jun 2018 17:07:50 -0400 |
| parents | 045cb04ad7b8 |
| children | 8ffb3ae9f3d2 |
| files | scripts/learn-motion-patterns.py |
| diffstat | 1 files changed, 6 insertions(+), 4 deletions(-) [+] |
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--- a/scripts/learn-motion-patterns.py Tue Jun 19 17:07:35 2018 -0400 +++ b/scripts/learn-motion-patterns.py Tue Jun 19 17:07:50 2018 -0400 @@ -75,11 +75,12 @@ # the next line can be called again without reinitializing similarities if args.learn: prototypeIndices = ml.prototypeCluster(trajectories, similarities, args.minSimilarity, similarityFunc, args.optimizeCentroid, args.randomInitialization, initialPrototypeIndices) -# assignment is done if explicitly passed as argument or if working on the same database (starting prototypes from scratch and assigning them) else: prototypeIndices = initialPrototypeIndices if args.assign: + if not args.learn and args.minClusterSize >= 1: + print('Warning: you did not learn the prototypes and you are using minimum cluster size of {}, which may lead to removing prototypes and assigning them to others'.format(args.minClusterSize)) prototypeIndices, labels = ml.assignToPrototypeClusters(trajectories, prototypeIndices, similarities, args.minSimilarity, similarityFunc, args.minClusterSize) clusterSizes = ml.computeClusterSizes(labels, prototypeIndices, -1) print(clusterSizes) @@ -89,10 +90,11 @@ for i in prototypeIndices: if args.assign: nMatchings = clusterSizes[i]-1 - else: - nMatchings = 0 + #else: + # nMatchings = 0 if i<len(initialPrototypes): - initialPrototypes[i].nMatchings += nMatchings + if args.assign: + initialPrototypes[i].nMatchings += nMatchings prototypes.append(initialPrototypes[i]) else: prototypes.append(moving.Prototype(args.databaseFilename, objects[i-len(initialPrototypes)].getNum(), trajectoryType, nMatchings))