Mercurial Hosting > traffic-intelligence

comparison scripts/learn-motion-patterns.py @ 844:5a68779d7777

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added capability to save prototypes
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 14 Jul 2016 00:34:59 -0400
parents 5dc7a507353e
children 0cb69238e6f5
comparison
equal deleted inserted replaced
843:5dc7a507353e 844:5a68779d7777
48 48
49 similarities = -np.ones((nTrajectories, nTrajectories)) 49 similarities = -np.ones((nTrajectories, nTrajectories))
50 50
51 prototypeIndices, labels = ml.prototypeCluster(trajectories, similarities, args.minSimilarity, lambda x,y : lcss.computeNormalized(x, y), args.minClusterSize, args.randomInitialization) # this line can be called again without reinitializing similarities 51 prototypeIndices, labels = ml.prototypeCluster(trajectories, similarities, args.minSimilarity, lambda x,y : lcss.computeNormalized(x, y), args.minClusterSize, args.randomInitialization) # this line can be called again without reinitializing similarities
52 52
53 print(ml.computeClusterSizes(labels, prototypeIndices, -1)) 53 clusterSizes = ml.computeClusterSizes(labels, prototypeIndices, -1)
54 print(clusterSizes)
55
56 storage.savePrototypesToSqlite(args.databaseFilename, [objects[i].getNum() for i in prototypeIndices], args.trajectoryType, {objects[i].getNum():clusterSizes[i] for i in prototypeIndices})
54 57
55 if args.saveSimilarities: 58 if args.saveSimilarities:
56 np.savetxt(utils.removeExtension(args.databaseFilename)+'-prototype-similarities.txt.gz', similarities, '%.4') 59 np.savetxt(utils.removeExtension(args.databaseFilename)+'-prototype-similarities.txt.gz', similarities, '%.4f')
57 60
58 if args.display: 61 if args.display:
59 from matplotlib.pyplot import figure, show 62 from matplotlib.pyplot import figure, show, axis
60 figure() 63 figure()
61 for i,o in enumerate(objects): 64 for i,o in enumerate(objects):
62 if i not in prototypeIndices: 65 if i not in prototypeIndices:
63 if labels[i] < 0: 66 if labels[i] < 0:
64 o.plot('kx') 67 o.plot('kx')
65 else: 68 else:
66 o.plot(utils.colors[labels[i]]) 69 o.plot(utils.colors[labels[i]])
67 for i in prototypeIndices: 70 for i in prototypeIndices:
68 objects[i].plot(utils.colors[i]+'o') 71 objects[i].plot(utils.colors[i]+'o')
72 axis('equal')
69 show() 73 show()
70 74
71 # TODO store the prototypes trajectories, add option so store similarities (the most expensive stuff) with limited accuracy 75 # TODO store the prototypes trajectories, add option so store similarities (the most expensive stuff) with limited accuracy