def loadImages(partition,imagepath):
    totalImages = len(imagepath)
    for i in range(totalImages):
        if i > (partition*20)*totalImages/100 or i < (((partition-1)*20))*totalImages/100:
            image = Image.open(imagepath[i])
            trainData.append(numpy.array(image).flatten())
            trainLabel.append(imagepath[i].split("/")[6].split(".")[0])
        else:
            image = Image.open(imagepath[i])
            testData.append(numpy.array(image).flatten())
            testLabel.append(imagepath[i].split("/")[6].split(".")[0])