def __init__(self, size, noComp): self.noComp = noComp self.default_width = 640 self.default_height = 480 self.rescale_ratio = 5 self.pca = eigenHands(size) self.gabor = gaborFilters(False, size) self.bgTotal = cv.CreateMat(70, 70, cv.CV_8UC3)
def __init__(self, size, noComp):
self.noComp = noComp
self.default_width = 640
self.default_height = 480
self.rescale_ratio = 5
self.pca = eigenHands(size)
self.gabor = gaborFilters(False, size)
self.bgTotal = cv.CreateMat(70, 70, cv.CV_8UC3)
def __init__(self, size, makeData, noComp):
self.pca = eigenHands(size)
self.gabor = gaborFilters(False, size)
self.classify = classifyHands(False, size)
self.prep = preprocessing(size, noComp)
if (makeData == True):
self.pca.makeMatrix("garb")
self.pca.makeMatrix("hands")
self.pca.makeMatrix("rock")
self.pca.makeMatrix("paper")
self.pca.makeMatrix("scissors")
def __init__(self, size, makeData, noComp):
self.pca = eigenHands(size)
self.gabor = gaborFilters(False, size)
self.classify = classifyHands(False, size)
self.prep = preprocessing(size, noComp)
if(makeData == True):
self.pca.makeMatrix("garb")
self.pca.makeMatrix("hands")
self.pca.makeMatrix("rock")
self.pca.makeMatrix("paper")
self.pca.makeMatrix("scissors")
if(int(choice) == 1):
dataset = raw_input('choose the dataset c= > rock & paper & scissors; h => hands vs garbage ...')
noComp = raw_input('number of components for PCA ...')
datas = {'c':['rock','paper','scissors'], 'h':['hands','garb']}
hands = eigenHands(int(sizeImg))
_,X,_ = hands.justGetDataMat(datas[dataset][0],"",False)
hands.doPCA(X, int(noComp), "PCA/")
for i in range(0,len(datas[dataset])):
projData = hands.justGetDataMat(datas[dataset][i],"",True)
hands.projPCA(projData, False, "PCA/", datas[dataset][i])
#____________________________________________________________________________________________________
elif(int(choice) == 2):
dataset = raw_input('choose the dataset (r/p/s) ...')
datas = {'r':'rock', 'p':'paper', 's':'scissors'}
gabor = gaborFilters(buildOpt[str(build)],int(sizeImg))
gabor.setParameters(0.4, 0.8, 20, (numpy.pi*3.0/4.0), 5.0, 4.0)
data = cv.Load("data_train/"+datas[dataset]+"Train"+str(sizeImg)+".dat")
gabor.convolveImg(data, True)
#____________________________________________________________________________________________________
elif(int(choice) == 3):
aNumber = raw_input('write an unused nr/word ...')
prep = preprocessing(int(sizeImg),0,0)
prep.getHandsVideo(aNumber)
#____________________________________________________________________________________________________
elif(int(choice) == 4):
noComp = raw_input('number of components for PCA no ...')
dataset = raw_input('choose the dataset c= > rock & paper & scissors; h => hands vs garbage ...')
datas = {'c':['rock','paper','scissors'], 'h':['hands','garb']}
