use github flavored markdown for javascript and bash

README.md

@@ -13,21 +13,21 @@ You'll need OpenCV 2.3.1 installed.
 
 Then:
 
-
-        npm install opencv
-
+```bash
+$ npm install opencv
+```
 
 Or to build the repo:
 
-
-        node-gyp rebuild
-
+```bash
+$ node-gyp rebuild
+```
 
 ## Examples
 
 ### Face Detection
 
-
+```javascript
 cv.readImage("./examples/test.jpg", function(err, im){
   im.detectObject(cv.FACE_CASCADE, {}, function(err, faces){
     for (var i=0;i<faces.length; i++){
@@ -37,7 +37,7 @@ Or to build the repo:
     im.save('./out.jpg');
   });
 })
-
+```
 
 
 ## API Documentation
@@ -49,14 +49,19 @@ base datastructure in OpenCV. Things like images are just matrices of pixels.
 
 #### Creation
 
+```javascript
 new Matrix(rows, cols)
+```
 
 Or if you're thinking of a Matrix as an image:
 
+```javascript
 new Matrix(height, width)
+```
 
 Or you can use opencv to read in image files. Supported formats are in the OpenCV docs, but jpgs etc are supported.
 
+```javascript
 cv.readImage(filename, function(mat){
   ...
 })
@@ -64,9 +69,11 @@ Or you can use opencv to read in image files. Supported formats are in the OpenC
 cv.readImage(buffer, function(mat){
   ...
 })
+```
 
 If you need to pipe data into an image, you can use an ImageDataStream:
 
+```javascript
 var s = new cv.ImageDataStream()
 
 s.on('load', function(matrix){
@@ -74,10 +81,12 @@ If you need to pipe data into an image, you can use an ImageDataStream:
 })
 
 fs.createReadStream('./examples/test.jpg').pipe(s);
+```
 
 If however, you have a series of images, and you wish to stream them into a
 stream of Matrices, you can use an ImageStream. Thus:
 
+```javascript
 var s = new cv.ImageStream()
 
 s.on('data', function(matrix){
@@ -85,6 +94,7 @@ stream of Matrices, you can use an ImageStream. Thus:
 })
 
 ardrone.createPngStream().pipe(s);
+```
 
 Note: Each 'data' event into the ImageStream should be a complete image buffer.
 
@@ -92,36 +102,42 @@ Note: Each 'data' event into the ImageStream should be a complete image buffer.
 
 #### Accessing Data
 
+```javascript
 var mat = new cv.Matrix.Eye(4,4); // Create identity matrix
 
 mat.get(0,0) // 1
 
 mat.row(0)  // [1,0,0,0]
 mat.col(4)  // [0,0,0,1]
-
+```
 
 ##### Save
 
+```javascript
 mat.save('./pic.jpg')
+```
 
 or:
 
+```javascript
 var buff = mat.toBuffer()
-
+```
 
 #### Image Processing
 
+```javascript
 im.convertGrayscale()
 im.canny(5, 300)
 im.houghLinesP()
-
+```
 
 
 #### Simple Drawing
 
+```javascript
 im.ellipse(x, y)
 im.line([x1,y1], [x2, y2])
-
+```
 
 #### Object Detection
 
@@ -129,21 +145,25 @@ There is a shortcut method for
 [Viola-Jones Haar Cascade](http://www.cognotics.com/opencv/servo_2007_series/part_2/sidebar.html) object 
 detection. This can be used for face detection etc.
 
-
+```javascript
 mat.detectObject(haar_cascade_xml, opts, function(err, matches){})
+```
 
 For convenience in face recognition, cv.FACE_CASCADE is a cascade that can be used for frontal face recognition.
 
 Also:
 
+```javascript
 mat.goodFeaturesToTrack
-
+```
 
 #### Contours
 
+```javascript
 mat.findCountours
 mat.drawContour
 mat.drawAllContours
+```
 
 ### Using Contours
 
@@ -151,6 +171,7 @@ Also:
 functions for accessing, computing with, and altering the contours contained in it.
 See [relevant source code](src/Contours.cc) and [examples](examples/)
 
+```javascript
 var contours = im.findContours;
 
 # Count of contours in the Contours object
@@ -178,6 +199,7 @@ See [relevant source code](src/Contours.cc) and [examples](examples/)
 # Destructively alter contour `index`
 contours.approxPolyDP(index, epsilon, isClosed);
 contours.convexHull(index, clockwise);
+```
 
 ## MIT License
 The library is distributed under the MIT License - if for some reason that