def get_M(i): #матрица преобразования
    src = np.float32(np.array(([list_faces[i]['mouthLeft']['x'],list_faces[i]['mouthLeft']['y']], [list_faces[i]['mouthRight']['x'],list_faces[i]['mouthRight']['y']], [list_faces[i]['noseLeftAlarOutTip']['x'],list_faces[i]['noseLeftAlarOutTip']['y']],[list_faces[i]['noseRightAlarOutTip']['x'],list_faces[i]['noseRightAlarOutTip']['y']])))
    dst = np.float32(np.array(([list_faces[3]['mouthLeft']['x'],list_faces[3]['mouthLeft']['y']], [list_faces[3]['mouthRight']['x'],list_faces[3]['mouthRight']['y']], [list_faces[3]['noseLeftAlarOutTip']['x'],list_faces[3]['noseLeftAlarOutTip']['y']],[list_faces[3]['noseRightAlarOutTip']['x'],list_faces[3]['noseRightAlarOutTip']['y']])))
    M = cv2.getPerspectiveTransform(src,dst)
    return M

def aff_tr(i):          #ПРЕОРАЗОВАНИЕ
    for slov in list_faces[i].values():
        list =  np.array([[[slov['x'], slov['y'],1]]])
        dot = cv2.transform(list,get_M(i))
        x=dot[0][0][0]
        y=dot[0][0][1]
        slov['x'],slov['y'] = x,y