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comparison python/storage.py @ 921:630934595871

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work in progress with prototype class
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 05 Jul 2017 18:01:43 -0400
parents 499154254f37
children acb5379c5fd7
comparison
equal deleted inserted replaced
920:499154254f37 921:630934595871
590 590
591 ######################### 591 #########################
592 # saving and loading for scene interpretation: POIs and Prototypes 592 # saving and loading for scene interpretation: POIs and Prototypes
593 ######################### 593 #########################
594 594
595 def savePrototypesToSqlite(filename, prototypeIndices, trajectoryType, nMatchings = None, dbFilenames = None): 595 def savePrototypesToSqlite(filename, prototypes):
596 '''save the prototype indices 596 '''save the prototypes (a prototype is defined by a filename, a number and type'''
597 if objects is not None, the trajectories are also saved in prototype_positions and _velocities 597 connection = sqlite3.connect(filename)
598 (prototypeIndices have to be in objects 598 cursor = connection.cursor()
599 objects will be saved as features, with the centroid trajectory as if it is a feature) 599 try:
600 nMatchings, if not None, is a list of the number of matches 600 cursor.execute('CREATE TABLE IF NOT EXISTS prototypes (dbfilename VARCHAR, id INTEGER, trajectory_type VARCHAR CHECK (trajectory_type IN (\"feature\", \"object\")), nmatchings INTEGER, PRIMARY KEY (id, dbfilename))')
601 dbFilenames, if not None, is a list of the DB filenames 601 for p in prototypes:
602 602 cursor.execute('INSERT INTO prototypes (dbfilename, id, trajectory_type, nmatchings) VALUES (?,?,?,?)', (p.getFilename(), p.getNum(), p.getTrajectoryType(), p.getNMatchings()))
603 The order of prototypeIndices, objects, nMatchings and dbFilenames should be consistent'''
604 connection = sqlite3.connect(filename)
605 cursor = connection.cursor()
606 try:
607 cursor.execute('CREATE TABLE IF NOT EXISTS prototypes (id INTEGER, dbfilename VARCHAR, trajectory_type VARCHAR CHECK (trajectory_type IN (\"feature\", \"object\")), nmatchings INTEGER, PRIMARY KEY (id, dbfilename))')
608 for i, protoId in enumerate(prototypeIndices):
609 if nMatchings is not None:
610 n = nMatchings[i]
611 else:
612 n = 'NULL'
613 if dbFilenames is not None:
614 dbfn = dbFilenames[i]
615 else:
616 dbfn = filename
617 cursor.execute('INSERT INTO prototypes (id, dbfilename, trajectory_type, nmatchings) VALUES (?,?,?,?)', (protoId, dbfn, trajectoryType, n))
618 except sqlite3.OperationalError as error: 603 except sqlite3.OperationalError as error:
619 printDBError(error) 604 printDBError(error)
620 connection.commit() 605 connection.commit()
621 connection.close() 606 connection.close()
622 607
625 610
626 def loadPrototypesFromSqlite(filename, withTrajectories = True): 611 def loadPrototypesFromSqlite(filename, withTrajectories = True):
627 'Loads prototype ids and matchings (if stored)' 612 'Loads prototype ids and matchings (if stored)'
628 connection = sqlite3.connect(filename) 613 connection = sqlite3.connect(filename)
629 cursor = connection.cursor() 614 cursor = connection.cursor()
630 prototypeIndices = [] 615 prototypes = []
631 dbFilenames = []
632 trajectoryTypes = []
633 nMatchings = []
634 objects = [] 616 objects = []
635 try: 617 try:
636 cursor.execute('SELECT * FROM prototypes') 618 cursor.execute('SELECT * FROM prototypes')
637 for row in cursor: 619 for row in cursor:
638 prototypeIndices.append(row[0]) 620 prototypes.append(moving.Prototype(row[0], row[1], row[2], row[3]))
639 dbFilenames.append(row[1])
640 trajectoryTypes.append(row[2])
641 if row[3] is not None:
642 nMatchings.append(row[3])
643 if withTrajectories: 621 if withTrajectories:
644 loadingInformation = {} 622 for p in prototypes:
645 for dbfn, trajType, protoId in zip(dbFilenames, trajectoryTypes, prototypeIndices): 623 p.setMovingObject(loadTrajectoriesFromSqlite(p.getFilename(), p.getTrajectoryType(), [p.getNum()])[0])
646 if (dbfn, trajType) in loadingInformation: 624 # loadingInformation = {} # complicated slightly optimized
647 loadingInformation[(dbfn, trajType)].append(protoId) 625 # for p in prototypes:
648 else: 626 # dbfn = p.getFilename()
649 loadingInformation[(dbfn, trajType)] = [protoId] 627 # trajType = p.getTrajectoryType()
650 for k, v in loadingInformation.iteritems(): 628 # if (dbfn, trajType) in loadingInformation:
651 objects += loadTrajectoriesFromSqlite(k[0], k[1], v) 629 # loadingInformation[(dbfn, trajType)].append(p)
652 except sqlite3.OperationalError as error: 630 # else:
653 printDBError(error) 631 # loadingInformation[(dbfn, trajType)] = [p]
654 connection.close() 632 # for k, v in loadingInformation.iteritems():
655 if len(set(trajectoryTypes)) > 1: 633 # objects += loadTrajectoriesFromSqlite(k[0], k[1], [p.getNum() for p in v])
656 print('Different types of prototypes in database ({}).'.format(set(trajectoryTypes))) 634 except sqlite3.OperationalError as error:
657 return prototypeIndices, dbFilenames, trajectoryTypes, nMatchings, objects 635 printDBError(error)
636 connection.close()
637 if len(set([p.getTrajectoryType() for p in prototypes])) > 1:
638 print('Different types of prototypes in database ({}).'.format(set([p.getTrajectoryType() for p in prototypes])))
639 return prototypes
658 640
659 def savePOIs(filename, gmm, gmmType, gmmId): 641 def savePOIs(filename, gmm, gmmType, gmmId):
660 '''Saves a Gaussian mixture model (of class sklearn.mixture.GaussianMixture) 642 '''Saves a Gaussian mixture model (of class sklearn.mixture.GaussianMixture)
661 gmmType is a type of GaussianMixture, learnt either from beginnings or ends of trajectories''' 643 gmmType is a type of GaussianMixture, learnt either from beginnings or ends of trajectories'''
662 connection = sqlite3.connect(filename) 644 connection = sqlite3.connect(filename)