Mercurial > hg > nsaunier > traffic-intelligence

comparison scripts/classify-objects.py @ 898:1fc901d983ed

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better take into account unknown appearance classification
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 21 Jun 2017 17:21:03 -0400
parents ff92801e5c54
children 1466a63dd1cf
comparison
equal deleted inserted replaced
897:f5a49b603e8b 898:1fc901d983ed
112 if inter.contains(frameNum): 112 if inter.contains(frameNum):
113 if inter.first == frameNum: 113 if inter.first == frameNum:
114 obj.initClassifyUserTypeHoGSVM(speedAggregationFunc, pedBikeCarSVM, bikeCarSVM, classifierParams.maxPedestrianSpeed, classifierParams.maxCyclistSpeed, classifierParams.nFramesIgnoreAtEnds) 114 obj.initClassifyUserTypeHoGSVM(speedAggregationFunc, pedBikeCarSVM, bikeCarSVM, classifierParams.maxPedestrianSpeed, classifierParams.maxCyclistSpeed, classifierParams.nFramesIgnoreAtEnds)
115 currentObjects.append(obj) 115 currentObjects.append(obj)
116 elif inter.last == frameNum: 116 elif inter.last == frameNum:
117 obj.classifyUserTypeHoGSVM(minSpeedEquiprobable = classifierParams.minSpeedEquiprobable, speedProbabilities = speedProbabilities) 117 obj.classifyUserTypeHoGSVM(minSpeedEquiprobable = classifierParams.minSpeedEquiprobable, speedProbabilities = speedProbabilities, maxPercentUnknown = 0.5) # todo add maxPercentUnknown in cfg
118 pastObjects.append(obj) 118 pastObjects.append(obj)
119 else: 119 else:
120 obj.classifyUserTypeHoGSVMAtInstant(img, frameNum, invHomography, width, height, classifierParams.percentIncreaseCrop, classifierParams.percentIncreaseCrop, classifierParams.minNPixels, classifierParams.hogRescaleSize, classifierParams.hogNOrientations, classifierParams.hogNPixelsPerCell, classifierParams.hogNCellsPerBlock, classifierParams.hogBlockNorm) 120 obj.classifyUserTypeHoGSVMAtInstant(img, frameNum, invHomography, width, height, classifierParams.percentIncreaseCrop, classifierParams.percentIncreaseCrop, classifierParams.minNPixels, classifierParams.hogRescaleSize, classifierParams.hogNOrientations, classifierParams.hogNPixelsPerCell, classifierParams.hogNCellsPerBlock, classifierParams.hogBlockNorm)
121 currentObjects.append(obj) 121 currentObjects.append(obj)
122 else: 122 else: