detect = True
if len(sys.argv) > 1:
path = sys.argv[1]
currentFolder = os.getcwd()
if train == True:
print "Start reading positive images"
pos = Features.getPositiveFeatures(currentFolder+'\\PositiveImages')
print "Start reading negative images"
neg = Features.getRandomNegativeFeatures(currentFolder+'\\NegativeImages',2,size)
svm = TrainSVM.trainSVM(pos,neg)
neg = None
pos = None
TrainSVM.saveSVM(currentFolder+'\\SVMs','human.xml', svm)
if detect == True:
print 'Start detecting'
svm = DetectSVM.loadSVM(currentFolder +'\\SVMs','human.xml')
npImage = cv2.imread(currentFolder +'\\testImages\\test1-1.png',cv2.CV_LOAD_IMAGE_COLOR)
#npImage = cv2.imread(currentFolder +'\\testImages\\test.jpg',cv2.CV_LOAD_IMAGE_COLOR)
#detections = DetectSVM.detectHumansTest(npImage)
