与ORB python opencv匹配的功能

问题描述

您好，我正在使用ORB python opencv进行匹配功能，但是当我运行此代码时，出现此错误追溯(最近一次通话): 在第27行的文件"ffl.py"中 对于在比赛中的m，n:TypeError:"cv2.DMatch"对象不可迭代

hi im working in Matching Features with ORB python opencv but when i run this code i get this errorTraceback (most recent call last): File "ffl.py", line 27, in for m,n in matches:TypeError: 'cv2.DMatch' object is not iterable

我不知道如何解决

import numpy as np
import cv2
import time

ESC=27
camera = cv2.VideoCapture(0)
orb = cv2.ORB_create()
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

imgTrainColor = cv2.imread('/home/shar/home.jpg')
imgTrainGray = cv2.cvtColor(imgTrainColor, cv2.COLOR_BGR2GRAY)

kpTrain = orb.detect(imgTrainGray,None)
kpTrain, desTrain = orb.compute(imgTrainGray, kpTrain)

firsttime = True

while True:

    ret, imgCamColor = camera.read()
    imgCamGray = cv2.cvtColor(imgCamColor, cv2.COLOR_BGR2GRAY)
    kpCam = orb.detect(imgCamGray,None)
    kpCam, desCam = orb.compute(imgCamGray, kpCam)
    bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
    matches = bf.match(desCam,desTrain)
    good = []
    for m,n in matches:
        if m.distance < 0.7*n.distance:
            good.append(m)

    if firsttime==True:
        h1, w1 = imgCamColor.shape[:2]
        h2, w2 = imgTrainColor.shape[:2]
        nWidth = w1+w2
        nHeight = max(h1, h2)
        hdif = (h1-h2)/2
        firsttime=False

    result = np.zeros((nHeight, nWidth, 3), np.uint8)
    result[hdif:hdif+h2, :w2] = imgTrainColor
    result[:h1, w2:w1+w2] = imgCamColor

    for i in range(len(matches)):
        pt_a=(int(kpTrain[matches[i].trainIdx].pt[0]), int(kpTrain[matches[i].trainIdx].pt[1]+hdif))
        pt_b=(int(kpCam[matches[i].queryIdx].pt[0]+w2), int(kpCam[matches[i].queryIdx].pt[1]))
        cv2.line(result, pt_a, pt_b, (255, 0, 0))

    cv2.imshow('Camara', result)

    key = cv2.waitKey(20)
    if key == ESC:
        break

cv2.destroyAllWindows()
camera.release()

推荐答案

bf.match仅返回单个对象的列表，您无法使用m，n对其进行迭代.也许您对bf.knnMatch感到困惑?

bf.match return only a list of single objects, you cannot iterate over it with m,n. Maybe you are confused with bf.knnMatch?

您可以将代码更改为:

for m in matches:
    if m.distance < 0.7:
        good.append(m)

摘自OpenCV的Python教程(链接):

From the Python tutorials of OpenCV (link):

• DMatch.distance-描述符之间的距离.越低越好 它是.
• DMatch.trainIdx-火车描述符中描述符的索引
• DMatch.queryIdx-查询描述符中描述符的索引
• DMatch.imgIdx-火车图像的索引.

• DMatch.distance - Distance between descriptors. The lower, the better it is.
• DMatch.trainIdx - Index of the descriptor in train descriptors
• DMatch.queryIdx - Index of the descriptor in query descriptors
• DMatch.imgIdx - Index of the train image.

这篇关于与ORB python opencv匹配的功能的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！