我已经按照Python中的opencv教程。我正在使用OpenCV 3.2和Python 3.6.1。该代码是这样写的:功能匹配+单应
import cv2
import numpy as np
import matplotlib.pyplot as plt
MIN_MATCH_COUNT = 10
img1 = cv2.imread('test.jpg',0)
img2 = cv2.imread('hanapin_mo.jpg',0)
sift = cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(img1,None)
kp2, des2 = sift.detectAndCompute(img2,None)
FLANN_INDEX_KDTREE = 1
index_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, k = 2)
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,d = img1.shape
pts = 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 - {}/{}".format(len(good), MIN_MATCH_COUNT))
matchesMask = None
draw_params = dict(matchColor = (0,250,0),
singlePointColor = None,
matchesMask = matchesMask,
flags = 2)
img3 = cv2.drawMatchesKnn(img1, kp1, img2, kp2, good, None, **draw_params)
plt.imshow(img3, 'gray'),plt.show()
当我运行模块,发生错误:
回溯(最近通话最后一个): 文件“C:/用户/阿尔伯特礼雷耶斯/台式机/ SIFT/SIFT.py” 35行,在 H,W,d = img1.shape ValueError异常:没有足够的数值解压缩(预计3,拿到2)
h,w,d = img1.shape
pts = 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)
是什么意思时,它说“没有足够的价值来解包”?我应该怎么做才能让它运行?
我已经试过了一部分,但它给了我这样的错误: 回溯(最近通话最后一个): 文件“C:/用户/阿尔伯特礼雷耶斯/桌面/ SIFT/SIFT_2.py” ,第50行,在 img3 = cv2.drawMatchesKnn(img1,kp1,img2,kp2,good,None,** draw_params) SystemError:<内置函数drawMatchesKnn>返回NULL,不会设置错误 –
这是整个其他问题。为此提出另一个问题。你在问题中提出的追溯是造成我上面提到的问题。 –
好的。感谢您的回答:) –