updated syntax highlighting

modules/matlab/README.md

@@ -26,11 +26,13 @@ Run
 ---
 Once you've added the bindings directory to the Matlab path, you can start using them straight away! OpenCV calls need to be prefixed with a 'cv' qualifier, to disambiguate them from Matlab methods of the same name. For example, to compute the dft of a matrix, you might do the following:
 
+```matlab
 % load an image (Matlab)
 I = imread('cameraman.tif');
 
 % compute the DFT (OpenCV)
 If = cv.dft(I, cv.DFT_COMPLEX_OUTPUT);
+```
 
 As you can see, both OpenCV methods and constants can be used with 'cv' qualification. You can also call:
 
@@ -206,15 +208,18 @@ Jinja2 is a powerful templating engine, similar to python's builtin `string.Temp
 
 **view.py**
 
+```html+django
 <title>{{ title }}</title>
 <ul>
 {% for user in users %}
   <li><a href="{{ user.url }}">{{ user.username | sanitize }}</a></li>
 {% endfor %}
 </ul>
+```
 
 **model.py**
 
+```python
 class User(object):
   __init__(self):
     self.username = ''
@@ -222,9 +227,11 @@ Jinja2 is a powerful templating engine, similar to python's builtin `string.Temp
 
 def sanitize(text):
   """Filter for escaping html tags to prevent code injection"""
+```
 
 **controller.py**
 
+```python
 def populate(users):
 # initialize jinja
 jtemplate = jinja2.Environment(loader=FileSystemLoader())
@@ -241,6 +248,7 @@ Jinja2 is a powerful templating engine, similar to python's builtin `string.Temp
 # write to file
 with open('users.html', 'wb') as f:
   f.write(populated)
+```
 
 Thus the style and layout of the view is kept separate from the content (model). This modularity improves readability and maintainability of both the view and content and (for my own sanity) has helped significantly in debugging errors.