Add README link.

magicleap · Jun 19, 2018 · f111fc4 · f111fc4
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@@ -9,6 +9,8 @@ This repo contains the pretrained SuperPoint network, as implemented by the orig
 
 * Full paper PDF: [SuperPoint: Self-Supervised Interest Point Detection and Description](https://arxiv.org/abs/1712.07629)
 
+* Presentation PDF: [Talk at CVPR Deep Learning for Visual SLAM Workshop 2018](assets/DL4VSLAM_talk.pdf)
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 * Authors: *Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich*
 
 This demo showcases a simple sparse optical flow point tracker that uses SuperPoint to detect points and match them across video sequences. The repo contains two core files (1) a PyTorch weights file and (2) a python deployment script that defines the network, loads images and runs the pytorch weights file on them, creating a sparse optical flow visualization. Here are videos of the demo running on various publically available datsets:  

diff --git a/assets/SuperPoint_DL4VSLAM_talk.pdf → assets/DL4VSLAM_talk.pdf b/assets/SuperPoint_DL4VSLAM_talk.pdf → assets/DL4VSLAM_talk.pdf