Mercurial > hg > nsaunier > traffic-intelligence
diff python/objectsmoothing.py @ 1012:01db14e947e4
resolved
| author | Wendlasida |
|---|---|
| date | Fri, 01 Jun 2018 10:47:49 -0400 |
| parents | 933670761a57 |
| children |
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--- a/python/objectsmoothing.py Fri Jun 01 10:43:23 2018 -0400 +++ b/python/objectsmoothing.py Fri Jun 01 10:47:49 2018 -0400 @@ -50,7 +50,7 @@ tmp={} delta={} for i in featureList: - for t in xrange(i[1],i[2]+1): + for t in range(i[1],i[2]+1): tmp[t]=[i[0],i[3]] newTraj = moving.Trajectory() @@ -152,7 +152,7 @@ #solve a smoothing problem in case of big drop in computing bearing (0,360) for t,i in enumerate(sorted(bearing.keys())): if i!= max(bearing.keys()) and abs(bearingInput[t] - bearingInput[t+1])>=340: - for x in xrange(max(i-halfWidth,min(bearing.keys())),min(i+halfWidth,max(bearing.keys()))+1): + for x in range(max(i-halfWidth,min(bearing.keys())),min(i+halfWidth,max(bearing.keys()))+1): bearing[x]=bearingInput[t-i+x] translated = moving.Trajectory() @@ -166,7 +166,7 @@ if smoothing: d1= translated[halfWidth]- feature.positions[halfWidth] d2= translated[-halfWidth-1]- feature.positions[-halfWidth-1] - for i in xrange(halfWidth): + for i in range(halfWidth): p1= feature.getPositionAt(i)+d1 p2= feature.getPositionAt(-i-1)+d2 translated.setPosition(i,p1)
