如何使用OpenCV的ORB算法提取并过滤仅保留水平方向的特征点？

import sys
import cv2 as cv
import numpy as np

def main_func():
    imgCat = cv.imread("cat.png")
    imgSmallCat = cv.imread("smallCat.png")

    orb = cv.ORB_create()

    kpCat, desCat = orb.detectAndCompute(imgCat, None)
    kpSmallCat, desSmallCat = orb.detectAndCompute(imgSmallCat, None)

    # 特征点过滤
    filtered_kpCat = []
    filtered_desCat = []
    angle_threshold = 15
    for kp, des in zip(kpCat, desCat):
        angle = kp.angle
        if abs(angle) < angle_threshold or abs(abs(angle) - 180) < angle_threshold:
            filtered_kpCat.append(kp)
            filtered_desCat.append(des)

    filtered_kpSmallCat = []
    filtered_desSmallCat = []
    for kp, des in zip(kpSmallCat, desSmallCat):
        angle = kp.angle
        if abs(angle) < angle_threshold or abs(abs(angle) - 180) < angle_threshold:
            filtered_kpSmallCat.append(kp)
            filtered_desSmallCat.append(des)

    filtered_desCat = np.array(filtered_desCat)
    filtered_desSmallCat = np.array(filtered_desSmallCat)

    # ... (后续匹配代码，使用 filtered_kpCat, filtered_desCat, filtered_kpSmallCat, filtered_desSmallCat) ...