我在一台覆盆子pi 3b上使用opencv 4.5.0-pre和python 3.7.3。我正在尝试找到最匹配的特征,以便使用SIFT进行图像拼接。我使用这个指南https://www.pyimagesearch.com/2019/09/16/install-opencv-4-on-raspberry-pi-4-and-raspbian-buster/从源代码构建了opencv。
import cv2
img1 = cv2.imread('image1.jpg')
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
img2 = cv2.imread('image2.jpg')
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
sift = cv2.SIFT()
kp1, des1 = sift.detectAndCompute(gray1, None)
kp2, des2 = sift.detectAndCompute(gray2, None)在运行脚本时,会抛出以下错误:
/bin/bash: line 1: 1101 Segmentation fault python3 stitch_imgs.py
shell returned 139
Press ENTER or type command to continue 我已经尝试按照@Ahx推荐的方式使用cv2.xfeatures2d.SIFT_create()。但这对我也不起作用。我得到以下输出:
[ WARN:0 ] global /home/pi/opencv_contrib/modules/xfeatures2d/misc/python/shadow_shift.hpp
(15) SIFT_create DEPRECATED: cv.xfeatures2d.SIFT_create() is deprecated due to
the main repository. https://github.com/opencv/opencv/issues/16736
Killed有人知道我该怎么解决这个问题吗?
谢谢
发布于 2020-09-19 04:38:06
在documentation1和documentation2中,您需要声明SIFT,如下所示:
对于opencv-4.0.0
sift = cv2.xfeatures2d.SIFT_create()适用于opencv-4.5-0-pre
sift = cv2.SIFT_create()对于opencv-4.0.0代码:
import cv2
img1 = cv2.imread('img1.jpg')
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
img2 = cv2.imread('img2.jpg')
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
sift = cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(gray1, None)
kp2, des2 = sift.detectAndCompute(gray2, None)对于opencv-4.5.0-pre Code:
import cv2
img1 = cv2.imread('img1.jpg')
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
img2 = cv2.imread('img2.jpg')
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
sift = cv2.SIFT_create()
kp1, des1 = sift.detectAndCompute(gray1, None)
kp2, des2 = sift.detectAndCompute(gray2, None)https://stackoverflow.com/questions/63949074
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