face recognition with opencv and python

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I'm trying to use the code showed here http://answers.opencv.org/answers/105... to do face recognition.

I have two folders, images and resultado, inside images I have folders person1 and person2, inside them I have pictures.

• first question: can the type of my image data be .jpg?

• second question: in this line [X,y] = read_images(path=sys.argv[1],sz=(70,70)) what is sys.argv[1]? Should I replace it by "images" because my data is there? When I try to run the program I find the error:

  File "facerec_demo.py", line 103 [X,y] = read_images(path=sys.argv[1],sz=(70,70)) ^ IndentationError: unexpected indent

• third question: I want my program take a image and compare with the data. Do this line do that?cv2.imwrite("test.png", X[0]).

The code is as follows:

#!/usr/bin/env python
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import os
import sys
import cv2
import numpy as np

def normalize(X, low, high, dtype=None):
    """Normalizes a given array in X to a value between low and high."""
    X = np.asarray(X)
    minX, maxX = np.min(X), np.max(X)
    # normalize to [0...1].    
    X = X - float(minX)
    X = X / float((maxX - minX))
    # scale to [low...high].
    X = X * (high-low)
    X = X + low
    if dtype is None:
        return np.asarray(X)
    return np.asarray(X, dtype=dtype)


def read_images(path, sz=None):
    """Reads the images in a given folder, resizes images on the fly if size is given.

    Args:
        path: Path to a folder with subfolders representing the subjects (persons).
        sz: A tuple with the size Resizes 

    Returns:
        A list [X,y]

            X ...