Mercurial Hosting > traffic-intelligence
view samples/TTC/ttcCompare.py @ 616:0791b3b55b8f
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author | MohamedGomaa |
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date | Wed, 10 Dec 2014 14:18:30 -0500 |
parents | dcc821b98efc |
children |
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import matplotlib.image as mpimg from numpy.linalg.linalg import inv from numpy import loadtxt import computeTTC import numpy as np import glob #databaseName = ['11.sqlite'] databaseName = glob.glob("*.sqlite") bikOri = mpimg.imread('bikeOri.png') bikAreaOri = bikOri[:,:,0] bikDes = mpimg.imread('bikeDes.png') bikAreaDes = bikDes[:,:,0] carOri = mpimg.imread('carOri.png') carAreaOri = carOri[:,:,0] carDes = mpimg.imread('carDes.png') carAreaDes = carDes[:,:,0] videoY = bikOri.shape[0] videoX = bikOri.shape[1] homography=inv(loadtxt('homography.txt')) framePerSecond=15 collisionDistanceThreshold=10 bikCount=0 carCount=0 bikSpeed=[] carSpeed=[] ttcDist=[] potentioalCollision=0 for d in databaseName: print d bc,cc,bs,cs,ttcdist,potCollision = computeTTC.computeTTC(d,homography,framePerSecond,videoX,videoY,collisionDistanceThreshold,bikAreaOri,bikAreaDes,carAreaOri,carAreaDes) bikCount += bc carCount += cc bikSpeed.extend(bs) carSpeed.extend(cs) ttcDist.extend(ttcdist) potentioalCollision += potCollision print 'bikCount :', bikCount print 'carCount :', carCount print 'Number of Potential Collisions :', potentioalCollision np.savetxt('ttc.txt',ttcDist,fmt='%1.2f') np.savetxt('freq.txt',[bikCount,carCount,potentioalCollision],fmt='%i') np.savetxt('bikSpeed.txt',bikSpeed,fmt='%1.2f') np.savetxt('carSpeed.txt',carSpeed,fmt='%1.2f')