#NoPayJan Offer - Access all CloudxLab Courses for free between 1st to 31st JanEnroll Now >>
Let us view the original image and the one with key-points marked to see what key-points were extracted.
cv2.drawKeypoint(input_image, input_image_key_points, output_image, color)method of OpenCV returns the
output_imagedrawn with its key-points in given color, given the
input_imageand its key-points
coloras input arguments.
img_right_kp, the resultant of plotting
img_right with its key-points
kp1 drawn using
img_right_kp = cv2.<< your code comes here >>(img_right, kp1, np.array(), color=(0,0, 255))
Observe, we pass
np.array() in place of output image. The
np.array() will be the output image with key-points drawn. If you want to draw the key-points to be drawn on the same input image, you could replace it with that image. In order to maintain modularity, let's pass a new empty NumPy array.
img_left_kp, the resultant of plotting
img_left with its key-points
kp2 drawn in
img_left_kp = cv2.<< your code comes here >>(img_left, kp2, np.array(), color=(0,0, 255))
plt.figure(figsize=(30,20)) plt.subplot(1,2,1) plt.imshow(fixColor(img_left_kp )) plt.subplot(1,2,2) plt.imshow(fixColor(img_right_kp )) plt.tight_layout()
No hints are availble for this assesment
Answer is not availble for this assesment
Note - Having trouble with the assessment engine? Follow the steps listed here