updated readme

README.md

@@ -2,7 +2,7 @@
 
 CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
 
-![Alt text](https://github.com/kvos/CoastSat/blob/development/classifiers/doc/example.gif)
+![Alt text](https://github.com/kvos/CoastSat/blob/development/classifiers/doc/example.gif?raw=true)
 
 The underlying approach and application of the CoastSat toolkit are described in detail in:
 
@@ -146,7 +146,7 @@ output = SDS_shoreline.extract_shorelines(metadata, settings)
 ```
 When `check_detection` is set to `True`, a figure like the one below appears and asks the user to manually accept/reject each detection by clicking on `keep` or `skip`.
 
-![Alt text](https://github.com/kvos/CoastSat/blob/development/classifiers/doc/batch_detection.gif)
+![Alt text](https://github.com/kvos/CoastSat/blob/development/classifiers/doc/batch_detection.gif?raw=true)
 
 Once all the shorelines have been mapped, the output is available in two different formats (saved under *.\data\sitename*):
 - `sitename_output.pkl`: contains a list with the shoreline coordinates and the exact timestamp at which the image was captured (UTC time) as well as the geometric accuracy and the cloud cover of each indivdual image. This list can be manipulated with Python, a snippet of code to plot the results is provided in the main script.