这是功能匹配的代码:
import numpy as np
import cv2
from matplotlib import pyplot as plt
MIN_MATCH_COUNT = 10
img1 = cv2.imread('/home/shrikrishna/Dektop/ImageProcessing/Datasets
/cars128x128/car_0001.ppm',0)
# queryImage
img2 = cv2.imread('/home/shrikrishna/Dektop/ImageProcessing/Datasets
/cars128x128/car_0002.ppm',0) # trainImage
# Initiate SIFT(here ORB) detector
orb = cv2.ORB_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)
FLANN_INDEX_KDTREE = 0
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)
# store all the good matches as per Lowe's 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.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 - %d/%d" %
(len(good),MIN_MATCH_COUNT)
matchesMask = None
draw_params = dict(matchColor = (0,255,0), #draw mathes for green color
singlePointColor = None,
matchesMask = matchesMask,#draw the inliers
flags = 2)
img3 = cv2.drawMatches(img1,kp1,img2,kp2,good,None,**draw_params)
plt.imshow(img3, 'gray'),plt.show()
执行上述代码时,我收到以下错误: -
追踪(最近的呼叫最后):
文件“feature_matching_homography_five.py”,第48行,in plt.imshow(img3,'grey'),plt.show() 文件“/usr/lib/python2.7/dist-packages/matplotlib/pyplot.py”,第2961行,in imshow imlim = imlim,resample = resample,url = url,** kwargs) 在imshow im.set_data(X)文件“/usr/lib/python2.7/dist-packages/ matplotlib / image.py“,第434行,在set_data中 引发TypeError(“图像数据无法转换为float”)TypeError:图像数据无法转换为float