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import numpy as np
import cv2
from matplotlib import pyplot as plt

def show_img(img1, img2, p1, p2, status):
    h1, w1 = img1.shape[:2]
    h2, w2 = img2.shape[:2]
    vis = np.zeros((max(h1, h2), w1+w2), np.uint8)
    vis[:h1, :w1] = img1
    vis[:h2, w1:w1+w2] = img2

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def row_contains(data, query):
    """
    Checks row of the matrix for the given condition
    and returns a list of rows that satisfies the condition
    """
    condition = np.any(query, axis=1)
    return np.compress(condition, data, axis=0)

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#sign to be detected
template = cv2.imread('sign.png')
#image in which it is to be directed
image = cv2.imread('iamge.jpg')

template_gray = cv2.cvtColor(template, cv2.COLOR_BGR2GRAY)
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

res = cv2.matchTemplate(image_gray, template_gray, cv2.TM_CCOEFF_NORMED)
threshold = 0.7

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def show_contours(contours, img):
    """
    Draw and display contours on the img provided.
    :contours: - list of contours
    :img: - on which the contour is suppose to be drawn
    """
    color = np.random.randint(0, 255, (3)).tolist()
    for cnt in contours:
        cv2.drawContours(img, [cnt], 0, color, 2)
    show_img(img)

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def getprimes(start=2, upto=100):
    """
    Generate primes between a given range defined by
    :start: and :upto: vars.
    """
    #NOTE: np.arrange is faster then python for loop
    primes = np.arange(2, upto+1)
    isprime = np.ones(upto-1, dtype=bool)
    #find the first prime before starting this loop to optimize
    for factor in primes[:int(upto**0.5)]:

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3 Steps to setup theano on windows

  1. Install Anaconda
  2. run "conda install mingw libpython"
  3. run "pip install theano"

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1. Download Julia.exe
2. copy paste the following:
      run(`git config --global url."https://".insteadOf git://`)
  this is because the git:// causes an error.

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The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

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import mechanize
from urlparse import urlparse, urljoin

"""Mechanize will open the link given to it and get the links without breaking much sweat,
  I am not sure what kind of repository setup you have so i am just going to use a global list named master to store all the succesfully crawled links, I also added a failed_link list that will store the links that the mechanize model was unable to open for further crawling. """

"""I wasn't sure about the links that the program needs to handle or how those links needed to be handled, so this program assumes that the link given to it is a valid link and i tried to make the program such that it doest not fail without warning"""

"""to form the repository of sites, the master and failed_links lists needs to be stored. Personally I would prefer storing the data in Mongo in the structure:
  	{'site' : site, 

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redis-cli -n [DB] keys "pattern" | xargs -d '\n' redis-cli -n [DB] del