I tried to use the following code:
xCoordinate=point.x
(point is type of cv2.keyPoint) It gives me error saying cv2.keyPoint has no attribute 'x'
Here is my take (runable code):
import cv2, os
import numpy as np
import matplotlib.pyplot as plt
# INITIALISATION
filename = os.path.join('foo', 'bar.jpg')
img0 = cv2.imread(filename) # original image
gray = cv2.cvtColor(img0, cv2.COLOR_BGR2GRAY) # convert to grayscale
sift = cv2.xfeatures2d.SIFT_create() # initialize SIFT
f, (ax1, ax2) = plt.subplots(1, 2) # create subplots
# DETECT AND DRAW KEYPOINTS
# sift.detect() returns a list of keypoints
# keypoint is a standard class of opencv (not just SIFT-related)
kp = sift.detect(gray,None) # calculates SIFT points
img1=cv2.drawKeypoints(gray,kp, None) # mae new image with keypoints drawn
ax1.imshow(img1) # plot
# RETREIVE KEYPOINTS COORDINATES AND DRAW MANUALLY
# Reade these and make numpy array
pts = np.asarray([[p.pt[0], p.pt[1]] for p in kp])
cols = pts[:,0]
rows = pts[:,1]
ax2.imshow(cv2.cvtColor(img0, cv2.COLOR_BGR2RGB))
ax2.scatter(cols, rows)
plt.show()
OpenCV provides a function for this. You can run:
pts = cv2.KeyPoint_convert(kp)
point.pt is a tuple
(x,y)`.
So,
x = point.pt[0]
y = point.pt[1]
or,
(x,y) = point.pt
You can use:
import numpy as np
pts = np.float([key_point.pt for key_point in kp]).reshape(-1, 1, 2)
pts
will be an array
of keypoints.
Read the docs.
Data structure for salient point detectors.
Point2f pt -- coordinates of the keypoint
float size -- diameter of the meaningful keypoint neighborhood
float angle ...¶
So point.pt
is a Point2f.
Try x,y= point.pt
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