Mercurial Hosting > traffic-intelligence
diff scripts/classify-objects.py @ 1023:a13f47c8931d
work on processing large datasets (generate speed data)
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Wed, 06 Jun 2018 16:51:15 -0400 |
| parents | b7689372c0ec |
| children | cc5cb04b04b0 |
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--- a/scripts/classify-objects.py Wed Jun 06 10:35:06 2018 -0400 +++ b/scripts/classify-objects.py Wed Jun 06 16:51:15 2018 -0400 @@ -1,6 +1,6 @@ #! /usr/bin/env python3 -import cvutils, moving, ml, storage +import cvutils, moving, ml, storage, utils import numpy as np import sys, argparse @@ -25,14 +25,8 @@ classifierParams = storage.ClassifierParameters(params.classifierFilename) classifierParams.convertToFrames(params.videoFrameRate, 3.6) # conversion from km/h to m/frame -if classifierParams.speedAggregationMethod == 'median': - speedAggregationFunc = np.median -elif classifierParams.speedAggregationMethod == 'mean': - speedAggregationFunc = np.mean -elif classifierParams.speedAggregationMethod == 'centile': - speedAggregationFunc = lambda speeds: np.percentile(speeds, args.speedAggregationCentile) -else: - print('Unknown speed aggregation method: {}. Exiting'.format(classifierParams.speedAggregationMethod)) +speedAggregationFunc = utils.aggregationFunction(classifierParams.speedAggregationMethod) +if speedAggregationFunc is None: sys.exit() pedBikeCarSVM = ml.SVM_load(classifierParams.pedBikeCarSVMFilename)