[readme] Use SVG badge from coveralls; Ensure ?branch=master is set where relevant [ci skip]

README.rst

@@ -8,7 +8,7 @@
    :target: https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.bio.base/master/index.html
 .. image:: http://travis-ci.org/bioidiap/bob.bio.base.svg?branch=master
    :target: https://travis-ci.org/bioidiap/bob.bio.base?branch=master
-.. image:: https://coveralls.io/repos/bioidiap/bob.bio.base/badge.png?branch=master
+.. image:: https://coveralls.io/repos/bioidiap/bob.bio.base/badge.svg?branch=master
    :target: https://coveralls.io/r/bioidiap/bob.bio.base?branch=master
 .. image:: https://img.shields.io/badge/github-master-0000c0.png
    :target: https://github.com/bioidiap/bob.bio.base/tree/master
@@ -42,7 +42,7 @@ In this base class implementation, only a few algorithms (such as PCA, LDA, PLDA
 * `bob.bio.csu <http://pypi.python.org/pypi/bob.bio.csu>`__ for wrapper classes of the `CSU Face Recognition Resources <http://www.cs.colostate.edu/facerec>`__
 
 
-Moreover, a script for score fusion ``./bin/fusion_llr.py`` is provided to do score-level fusion using Logistic regression to combine outputs from different systems.    
+Moreover, a script for score fusion ``./bin/fusion_llr.py`` is provided to do score-level fusion using Logistic regression to combine outputs from different systems.
 
 Additionally, a generic script ``./bin/evaluate.py`` is provided that can generate several types of plots (such as ROC, DET and CMC curves) and compute several measures (such as HTER, Cllr) to evaluate your experiments.