Mercurial Hosting > traffic-intelligence
diff scripts/classify-objects.py @ 788:5b970a5bc233 dev
updated classifying code to OpenCV 3.x (bug in function to load classification models)
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Thu, 24 Mar 2016 16:37:37 -0400 |
parents | de278c5e65f6 |
children | 1158a6e2d28e |
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--- a/scripts/classify-objects.py Thu Mar 17 16:01:19 2016 -0400 +++ b/scripts/classify-objects.py Thu Mar 24 16:37:37 2016 -0400 @@ -4,14 +4,16 @@ import numpy as np import sys, argparse -#from cv2 import SVM_RBF, SVM_C_SVC +from cv2 import SVM_RBF, SVM_C_SVC import cv2 from scipy.stats import norm, lognorm -# TODO add mode detection live +# TODO add mode detection live, add choice of kernel and svm type (to be saved in future classifier format) parser = argparse.ArgumentParser(description='The program processes indicators for all pairs of road users in the scene') parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the configuration file', required = True) +parser.add_argument('--kernel', dest = 'kernelType', help = 'kernel type for the support vector machine (SVM)', default = SVM_RBF, type = long) +parser.add_argument('--svm', dest = 'svmType', help = 'SVM type', default = SVM_C_SVC, type = long) parser.add_argument('-d', dest = 'databaseFilename', help = 'name of the Sqlite database file (overrides the configuration file)') parser.add_argument('-i', dest = 'videoFilename', help = 'name of the video file (overrides the configuration file)') parser.add_argument('-n', dest = 'nObjects', help = 'number of objects to classify', type = int, default = None) @@ -44,9 +46,9 @@ print('Unknown speed aggregation method: {}. Exiting'.format(params.speedAggregationMethod)) sys.exit() -pedBikeCarSVM = ml.SVM() +pedBikeCarSVM = ml.SVM(args.svmType, args.kernelType) pedBikeCarSVM.load(params.pedBikeCarSVMFilename) -bikeCarSVM = ml.SVM() +bikeCarSVM = ml.SVM(args.svmType, args.kernelType) bikeCarSVM.load(params.bikeCarSVMFilename) # log logistic for ped and bik otherwise ((pedBeta/pedAlfa)*((sMean/pedAlfa)**(pedBeta-1)))/((1+(sMean/pedAlfa)**pedBeta)**2.) @@ -75,8 +77,8 @@ timeInterval = moving.unionIntervals(intervals) capture = cv2.VideoCapture(videoFilename) -width = int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)) -height = int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)) +width = int(capture.get(cv2.CAP_PROP_FRAME_WIDTH)) +height = int(capture.get(cv2.CAP_PROP_FRAME_HEIGHT)) pastObjects = [] if params.undistort: # setup undistortion @@ -84,7 +86,7 @@ if capture.isOpened(): ret = True frameNum = timeInterval.first - capture.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, frameNum) + capture.set(cv2.CAP_PROP_POS_FRAMES, frameNum) lastFrameNum = timeInterval.last while ret and frameNum <= lastFrameNum: