# Creating a stacked version of the image - original and distorted one
x, y = [], []
for disease_name, training_files in oral_disease_file_names_dict.items():
    for training_image in training_files:
        img = cv2.imread(training_image)
        scaled_orig_img = cv2.resize(img, (40, 30))
        img_har = w2d(img, 'db1', 5)
        scaled_img_har = cv2.resize(img_har, (40, 30))
        stacked_img = np.vstack((scaled_orig_img.reshape(40*30*3,1),scaled_orig_img.reshape(40*30*3,1)))
        x.append(stacked_img)
        y.append(class_dict[disease_name])