def __init__(self):
self.stopGame = False
#most predicted:
self.predictions = {"rock":0, "paper":0, "scissors":0, "garb":0, "none":0}
self.maximum = ""
self.maxnr = 0
self.goalImg = cv.CreateImage((70,70), cv.IPL_DEPTH_8U, 1)
self.predict = predictSign(20, False, 0) # takes the size of the images as input
#load the model of the classification
#self.problem_hand = self.predict.loadModel("knn", 1, "hands") # 1=>original images; 2=>PCA; 3=>Gabor Wavelets+original image; 4=>only Gabor Wavelets
self.problem_sign = self.predict.loadModel("knn", 1, "rock") # 1=>original images; 2=>PCA; 3=>Gabor Wavelets+original image; 4=>only Gabor Wavelets
classi = classifyHands(buildOpt[str(build)],int(sizeImg))
classi.classifySVM(int(typeu), datas[dataset])
#____________________________________________________________________________________________________
elif(int(choice) == 7):
dataset = raw_input('classify h => hands vs garbage; c => rock & paper & scissors ...')
typeu = raw_input('choose the data 1 => original images; 2 => PCA on initial images; 3 => multiple Gabor filters + orig img; 4 => just multiple Gabor Filters...')
datas = {'c':'rock', 'h':'hands'}
classi = classifyHands(buildOpt[str(build)],int(sizeImg))
classi.classifyKNN(int(typeu), datas[dataset],4)
#____________________________________________________________________________________________________
elif(int(choice) == 8):
model = raw_input('model to built: s => svm; k => knn ...')
dataset = raw_input('classify h => hands vs garbage; c => rock & paper & scissors ...')
datas = {'c':'rock', 'h':'hands'}
modelOpt = {'s':'svm', 'k':'knn'}
typeu = raw_input('choose the data 1 => original images; 2 => PCA on initial images; 3 => multiple Gabor filters + orig img; 4 => just multiple Gabor Filters...')
if(typeu == "3" or typeu == "4"):
noComp = raw_input('number of components for PCA no ...')
else:
noComp = 0
predict = predictSign(int(sizeImg),buildOpt[str(build)], int(noComp))
predict.storeModel(modelOpt[str(model)], datas[dataset], int(typeu))
#____________________________________________________________________________________________________
elif(int(choice) == 9):
skin = detectSkin()
skin.findSkin()
