Now that we found the homography for transformation, we can now proceed to warp and display the right-side image in an orientation suitable to be stitched with the left image. This is also known as image registration.
Note:
cv2.warpPerspective applies a perspective transformation to an image, given the image, homography matrix, and size of the output image and returns the transformed output image.
Use cv2.warpPerspective method to apply perspective transformation of the img_right.
dst = cv2.<< your code comes here >>(img_right,H,(img_left.shape[1] + img_right.shape[1], img_left.shape[0]))
Visualize the output image dst.
plt.figure(figsize=(30,20))
plt.title('Warped Image')
plt.imshow(fixColor(dst))
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