ORB 与 opencv 3 的匹配错误

Question

目前我正在使用 python 开发 opevcv，但是当我使用

    kp1 = orb.detect(img1,None)
    kp2 = orb.detect(img2,None)
    kp1, des1 = orb.compute(img1, kp1)
    kp2, des2 = orb.compute(img2, kp2)
    matches = matcher.match(des1, des2)

我收到匹配器未定义的错误

    matches = matcher.match(des1, des2)
    NameError: name 'matcher' is not defined

，我在 python 2.7 中使用 opencv 3.0.0，谁能告诉我为什么会出现此错误？我们可以在 python 中使用匹配器吗？？

Answer 1

您需要先创建 matcher 对象。可以在 OpenCV tutorials:

上找到完整的示例

import numpy as np
import cv2
from matplotlib import pyplot as plt

img1 = cv2.imread('box.png',0)          # queryImage
img2 = cv2.imread('box_in_scene.png',0) # trainImage

# Initiate ORB detector
orb = cv2.ORB()

# find the keypoints and descriptors with ORB
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)

# create BFMatcher object
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

# Match descriptors.
matches = bf.match(des1,des2)

# Sort them in the order of their distance.
matches = sorted(matches, key = lambda x:x.distance)

# Draw first 10 matches.
img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10], flags=2)

plt.imshow(img3),plt.show()

Answer 2

在上面的代码中代替orb = cv2.ORB()

use orb = cv2.ORB_create()

这解决了版本兼容性问题：

TypeError: Incorrect type of self (must be 'Feature2D' or its derivative)

ORB 与 opencv 3 的匹配错误

matching error in ORB with opencv 3

opencv

python-2.7

orb

flann

opencv3.0