TypeError: data type not understood opencv python

Question

thats my python3 opencv3 code i get this error when i run this code i did't finished it yet that's are the error can some one help ?

line 19, in <module>
matches = bf.match(np.array(kpTrain, desTrain))
TypeError: data type not understood

that's my code

import numpy as np
import cv2


camera = cv2.VideoCapture(0)
orb = cv2.ORB_create()

img = cv2.imread('/home/shar/home.jpg')
imggray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)


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

ret, imgCamColor = camera.read()

bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

matches = bf.match(np.array(kpTrain, desTrain))

TypeError: queryDescriptors is not a numpy array, neither a scalar — shar
– shar, Commented Jul 30, 2015 at 2:09
Ok sorry , try - bf.match(np.array(kpTrain),np.array(desTrain)) — Anand S Kumar
– Anand S Kumar, Commented Jul 30, 2015 at 2:10
don't be sorry i get a new erorr TypeError: queryDescriptors data type = 17 is not supported — shar
– shar, Commented Jul 30, 2015 at 2:14
it's a conceptual error: you have to match 2 descriptors from 2 images, not the keypoints and descriptors from 1 image — berak
– berak, Commented Jul 30, 2015 at 7:21

Community · Accepted Answer · 2017-05-23 12:07:34Z

1

Again here, as in this question you are trying to to match keypoints and the descriptors from one image. The matching of descriptors is done with two images.
1. Find Keypoints in 2 images
2. Calculate descriptors for the two images
3. Perform the matching.

In your case it should be something like this:

import numpy as np
import cv2

orb = cv2.ORB_create()

img = cv2.imread('/home/shar/home.jpg')
imggray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# load second image in grayscale
imggray2=cv2.imread('/path/to/image.jpg',0)

#Detector and descriptors for 1st image
kpTrain = orb.detect(imggray,None)
kpTrain, desTrain = orb.compute(imggray, kpTrain)

#Detector and descriptors for 2nd image
kpTrain2 = orb.detect(imggray2,None)
kpTrain2, desTrain2 = orb.compute(imggray2, kpTrain2)

bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

matches = bf.match(desTrain,desTrain2)

edited May 23, 2017 at 12:07

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answered Feb 8, 2016 at 10:58

GStav

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