I know using "warpPerspective" command can generate tomography of a picture, but is there anyway (any command) to generate tomography (perspective transform) of a video/webcam stream?
BTW my python code currently looks like: (sorry about the indent) (got from http://www.learnopencv.com/homography...)
import cv2
import numpy as np
if __name__ == '__main__' :
# Read source image.
im_src = cv2.imread('book2.jpg')
# Four corners of the book in source image
pts_src = np.array([[141, 131], [480, 159], [493, 630],[64, 601]])
# Read destination image.
im_dst = cv2.imread('book1.jpg')
# Four corners of the book in destination image.
pts_dst = np.array([[318, 256],[534, 372],[316, 670],[73, 473]])
# Calculate Homography
h, status = cv2.findHomography(pts_src, pts_dst)
# Warp source image to destination based on homography
im_out = cv2.warpPerspective(im_src, h, (im_dst.shape[1],im_dst.shape[0]))
# Display images
cv2.imshow("Source Image", im_src)
cv2.imshow("Destination Image", im_dst)
cv2.imshow("Warped Source Image", im_out)
cv2.waitKey(0)
Thanks!
