网站竞争对手,wordpress 网站域名,好建设网站,WordPress调用外链我尝试使用opencv获取一个查询图像并在一个基本图像中进行匹配。我看了一下在线教程#xff0c;你看#xff0c;他们有示例代码来做这件事。所以我复制并粘贴了代码#xff0c;并尝试用一些试用图像来运行它。下面是代码和一组图像示例。在import numpy as npimport cv2from…我尝试使用opencv获取一个查询图像并在一个基本图像中进行匹配。我看了一下在线教程你看他们有示例代码来做这件事。所以我复制并粘贴了代码并尝试用一些试用图像来运行它。下面是代码和一组图像示例。在import numpy as npimport cv2from matplotlib import pyplot as pltMIN_MATCH_COUNT 10img1 cv2.imread(10hearts.png,0) # queryImageimg2 cv2.imread(example.jpg,0) # trainImage# Initiate SIFT detectorsift cv2.xfeatures2d.SIFT_create()# find the keypoints and descriptors with SIFTkp1, des1 sift.detectAndCompute(img1,None)kp2, des2 sift.detectAndCompute(img2,None)FLANN_INDEX_KDTREE 0index_params dict(algorithm FLANN_INDEX_KDTREE, trees 5)search_params dict(checks 50)flann cv2.FlannBasedMatcher(index_params, search_params)matches flann.knnMatch(des1,des2,k2)# store all the good matches as per Lowes ratio test.good []for m,n in matches:if m.distance 0.7*n.distance:good.append(m)if len(good)MIN_MATCH_COUNT:src_pts np.float32([ kp1[m.queryIdx].pt for m in good ]).reshape(-1,1,2)dst_pts np.float32([ kp2[m.trainIdx].pt for m in good ]).reshape(-1,1,2)M, mask cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)matchesMask mask.ravel().tolist()h,w img1.shapepts np.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]).reshape(-1,1,2)dst cv2.perspectiveTransform(pts,M)img2 cv2.polylines(img2,[np.int32(dst)],True,255,3, cv2.LINE_AA)else:print Not enough matches are found - %d/%d % (len(good),MIN_MATCH_COUNT)matchesMask Nonedraw_params dict(matchColor (0,255,0), # draw matches in green colorsinglePointColor None,matchesMask matchesMask, # draw only inliersflags 2)img3 cv2.drawMatches(img1,kp1,img2,kp2,good,None,**draw_params)plt.imshow(img3, gray),plt.show()以下是我的查询图像我正在搜索的图像不幸的是将结果可视化的代码永远不会起作用。每次运行它时都会出现以下错误^{pr2}$我做了一些简单的调试在findHomeography()调用之前一切似乎都很好它返回NullNull。有什么建议吗我按照以下说明下载opencv以防出现问题http://www.pyimagesearch.com/2015/06/22/install-opencv-3-0-and-python-2-7-on-ubuntu/
