Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/process.py @ 984:a69695d14e59

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work on script for large datasets
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 06 Mar 2018 08:26:13 -0500
parents 7463c9bc846b
children 668a85c963c3
comparison
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983:7463c9bc846b 984:a69695d14e59
1 #! /usr/bin/env python 1 #! /usr/bin/env python
2 2
3 import sys, argparse 3 import sys, argparse
4 from pathlib2 import Path
4 5
5 import storage, cvutils, utils 6 import storage, events, prediction
6 from metadata import * 7 from metadata import *
7 8
8 parser = argparse.ArgumentParser(description='This program manages the processing of several files based on a description of the sites and video data in an SQLite database following the metadata module.') 9 parser = argparse.ArgumentParser(description='This program manages the processing of several files based on a description of the sites and video data in an SQLite database following the metadata module.')
9 parser.add_argument('--db', dest = 'metadataFilename', help = 'name of the metadata file', required = True) 10 parser.add_argument('--db', dest = 'metadataFilename', help = 'name of the metadata file', required = True)
11 parser.add_argument('--videos', dest = 'videoIds', help = 'indices of the video sequences', nargs = '*', type = int)
12 parser.add_argument('--pet', dest = 'computePET', help = 'computes PET', action = 'store_true')
10 13
11 # need way of selecting sites as similar as possible to sql alchemy syntax 14 # need way of selecting sites as similar as possible to sql alchemy syntax
12 # override tracking.cfg from db 15 # override tracking.cfg from db
13 # manage cfg files, overwrite them (or a subset of parameters) 16 # manage cfg files, overwrite them (or a subset of parameters)
14 # delete sqlite files 17 # delete sqlite files
15 # nprocesses 18
19 parser.add_argument('--nthreads', dest = 'nProcesses', help = 'number of processes to run in parallel', type = int, default = 1)
16 20
17 args = parser.parse_args() 21 args = parser.parse_args()
22 # files are relative to metadata location
23
24 session = createDatabase(args.metadataFilename)
25 parentDir = Path(args.metadataFilename).parent
26
27 # todo change prediction parameters
28 predictionParameters = prediction.CVExactPredictionParameters()
29
30 for videoId in args.videoIds:
31 vs = session.query(VideoSequence).get(videoId)
32 print(vs.getDatabaseFilename())
33 objects = storage.loadTrajectoriesFromSqlite(str(parentDir/vs.getDatabaseFilename()), 'object')#, args.nObjects, withFeatures = (params.useFeaturesForPrediction or predictionMethod == 'ps' or predictionMethod == 'mp'))
34 interactions = events.createInteractions(objects)
35 #if args.nProcesses == 1:
36 params = storage.ProcessParameters(str(parentDir/vs.cameraView.getTrackingConfigurationFilename()))
37 #print(interactions, True, args.computePET, predictionParameters, params.collisionDistance, params.predictionTimeHorizon, params.crossingZones)
38 processed = events.computeIndicators(interactions, True, args.computePET, predictionParameters, params.collisionDistance, params.predictionTimeHorizon, params.crossingZones, False, None)
39 storage.saveIndicatorsToSqlite(str(parentDir/vs.getDatabaseFilename()), processed)
40
41 # else:
42 # pool = Pool(processes = args.nProcesses)
43 # nInteractionPerProcess = int(np.ceil(len(interactions)/float(args.nProcesses)))
44 # jobs = [pool.apply_async(events.computeIndicators, args = (interactions[i*nInteractionPerProcess:(i+1)*nInteractionPerProcess], not args.noMotionPrediction, args.computePET, predictionParameters, params.collisionDistance, params.predictionTimeHorizon, params.crossingZones, False, None)) for i in range(args.nProcesses)]
45 # processed = []
46 # for job in jobs:
47 # processed += job.get()
48 # pool.close()