From 6db2da6d483f67855a8238449cdf6e4db417c462 Mon Sep 17 00:00:00 2001
From: Emiliana <38952746+emilianavt@users.noreply.github.com>
Date: Tue, 27 Oct 2020 11:35:11 +0100
Subject: [PATCH] Updated README.

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 README.md | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/README.md b/README.md
index 1b93151..0971e44 100644
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@@ -101,12 +101,6 @@ Pytorch weights for use with `model.py` can be found [here](https://mega.nz/file
 
 More samples: [Results3.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/Results3.png), [Results4.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/Results4.png)
 
-Here's an informal [comparison](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/3DDFA_V2.jpg) with [3DDFA_V2](https://github.com/cleardusk/3DDFA_V2) on five arbitrary, non-cherry picked examples from my test data:
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-![3DDFA_V2_800.png](https://raw.githubusercontent.com/emilianavt/OpenSeeFace/master/Images/3DDFA_V2_800.jpg)
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-Please ignore the blue eye points in the OpenSeeFace images as they are not actually part of the tracking results.
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 ## Face detection
 
 The landmark model is quite robust with respect to the size and orientation of the faces, so the custom face detection model gets away with rougher bounding boxes than other approaches. It has a favorable speed to accuracy ratio for the purposes of this project.