Mercurial Hosting > traffic-intelligence

comparison python/storage.py @ 805:180b6b0231c0

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
added saving/loading points of interests
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 09 Jun 2016 15:36:21 -0400
parents 30bd0f2223b7
children 21f10332c72b
comparison
equal deleted inserted replaced
801:c5f98916297e 805:180b6b0231c0
382 dropTables(connection, ['objects', 'objects_features']) 382 dropTables(connection, ['objects', 'objects_features'])
383 elif dataType == 'interaction': 383 elif dataType == 'interaction':
384 dropTables(connection, ['interactions', 'indicators']) 384 dropTables(connection, ['interactions', 'indicators'])
385 elif dataType == 'bb': 385 elif dataType == 'bb':
386 dropTables(connection, ['bounding_boxes']) 386 dropTables(connection, ['bounding_boxes'])
387 elif dataType == 'pois':
388 dropTables(connection, ['gaussians2d'])
387 else: 389 else:
388 print('Unknown data type {} to delete from database'.format(dataType)) 390 print('Unknown data type {} to delete from database'.format(dataType))
389 connection.close() 391 connection.close()
390 else: 392 else:
391 print('{} does not exist'.format(filename)) 393 print('{} does not exist'.format(filename))
503 printDBError(error) 505 printDBError(error)
504 return boundingBoxes 506 return boundingBoxes
505 connection.close() 507 connection.close()
506 return boundingBoxes 508 return boundingBoxes
507 509
510 #########################
511 # saving and loading for scene interpretation
512 #########################
513
514 def savePOIs(filename, gmm, gmmType, gmmId):
515 '''Saves a Gaussian mixture model (of class sklearn.mixture.GMM)
516 gmmType is a type of GMM, learnt either from beginnings or ends of trajectories'''
517 connection = sqlite3.connect(filename)
518 cursor = connection.cursor()
519 if gmmType not in ['beginning', 'end']:
520 print('Unknown POI type {}. Exiting'.format(gmmType))
521 import sys
522 sys.exit()
523 try:
524 cursor.execute('CREATE TABLE IF NOT EXISTS gaussians2d (id INTEGER, type VARCHAR, x_center REAL, y_center REAL, covar00 REAL, covar01 REAL, covar10 REAL, covar11 REAL, covariance_type VARCHAR, weight, mixture_id INTEGER, PRIMARY KEY(id, mixture_id))')
525 for i in xrange(gmm.n_components):
526 cursor.execute('INSERT INTO gaussians2d VALUES({}, \'{}\', {}, {}, {}, {}, {}, {}, \'{}\', {}, {})'.format(i, gmmType, gmm.means_[i][0], gmm.means_[i][1], gmm.covars_[i][0,0], gmm.covars_[i][0,1], gmm.covars_[i][1,0], gmm.covars_[i][1,1], gmm.covariance_type, gmm.weights_[i], gmmId))
527 connection.commit()
528 except sqlite3.OperationalError as error:
529 printDBError(error)
530 connection.close()
531
532 def loadPOIs(filename):
533 'Loads all 2D Gaussians in the database'
534 from sklearn import mixture # todo if not avalaible, load data in duck-typed class with same fields
535 connection = sqlite3.connect(filename)
536 cursor = connection.cursor()
537 pois = []
538 try:
539 cursor.execute('SELECT * from gaussians2d')
540 gmmId = None
541 gmm = []
542 for row in cursor:
543 if gmmId is None or row[10] != gmmId:
544 if len(gmm) > 0:
545 tmp = mixture.GMM(len(gmm), covarianceType)
546 tmp.means_ = array([gaussian['mean'] for gaussian in gmm])
547 tmp.covars_ = array([gaussian['covar'] for gaussian in gmm])
548 tmp.weights_ = array([gaussian['weight'] for gaussian in gmm])
549 tmp.gmmTypes = [gaussian['type'] for gaussian in gmm]
550 pois.append(tmp)
551 gaussian = {'type': row[1],
552 'mean': row[2:4],
553 'covar': array(row[4:8]).reshape(2,2),
554 'weight': row[9]}
555 gmm = [gaussian]
556 covarianceType = row[8]
557 gmmId = row[10]
558 else:
559 gmm.append({'type': row[1],
560 'mean': row[2:4],
561 'covar': array(row[4:8]).reshape(2,2),
562 'weight': row[9]})
563 if len(gmm) > 0:
564 tmp = mixture.GMM(len(gmm), covarianceType)
565 tmp.means_ = array([gaussian['mean'] for gaussian in gmm])
566 tmp.covars_ = array([gaussian['covar'] for gaussian in gmm])
567 tmp.weights_ = array([gaussian['weight'] for gaussian in gmm])
568 tmp.gmmTypes = [gaussian['type'] for gaussian in gmm]
569 pois.append(tmp)
570 except sqlite3.OperationalError as error:
571 printDBError(error)
572 connection.close()
573 return pois
574
508 ######################### 575 #########################
509 # saving and loading for scene interpretation (Mohamed Gomaa Mohamed's PhD) 576 # saving and loading for scene interpretation (Mohamed Gomaa Mohamed's PhD)
510 ######################### 577 #########################
511 578
512 def writePrototypesToSqlite(prototypes,nMatching, outputFilename): 579 def writePrototypesToSqlite(prototypes,nMatching, outputFilename):