updated github image src link

README.md

@@ -39,7 +39,7 @@ The HVT package is a collection of R functions to facilitate building [topology
 
 The HVT package allows creation of visually stunning tessellations, showcasing the power of topology preserving maps. Below is an image depicting a captivating tessellation of a torus, see [vignette](https://nbviewer.org/github/Mu-Sigma/HVT/blob/master/vignettes/HVT_vignette.html) for more details.
 
-<img src="https://github.com/Mu-Sigma/HVT/blob/master/vignettes/torus2.png" width="642px" height="440px" />
+<img src="https://raw.githubusercontent.com/Mu-Sigma/HVT/master/vignettes/torus2.png" width="642px" height="440px" />
 <p class="caption">
 Figure 1: The Voronoi tessellation for layer 1 and number of cells 900 with the heat map overlaid for variable z.
 </p>
@@ -146,7 +146,7 @@ The `scoreLayeredHVT` function uses these three maps to score the test datapoint
 
 Let us try to understand the steps with the help of the diagram below
 
-<img src="https://github.com/Mu-Sigma/HVT/blob/master/vignettes/scoreLayeredHVT_function.png" width="672px" height="480px" />
+<img src="https://raw.githubusercontent.com/Mu-Sigma/HVT/master/vignettes/scoreLayeredHVT_function.png" width="672px" height="480px" />
 <p class="caption">
 Figure 2: Data Segregation for scoring based on a sequence of maps using scoreLayeredHVT()</p>