Info regarding number of keypoints for training #8
Description
Hello,
Thanks for the work and great paper.
While training, I noticed that the number of keypoints for img1 and img2 is constant. The loss function is also built on this assumption.
Can you please let me know what may happen if I use a different number of keypoints for img1 and img2?
Would it have an adverse effect on the training?
For example: If I use 500 keypoints for Img1 and 1000 keypoints for Img2.
Thank you