rishimukherjee

import bs4
import re
import urllib2
import sys
from collections import defaultdict

start = 1
link = 'http://www.flipkart.com/mobiles/pr?p[0]=sort%3Dprice_asc&sid=tyy%2C4io&layout=grid&start={0}'.format(start)
response = urllib2.urlopen(link)
thePage = response.read()

rishimukherjee

import bs4
import re
import urllib2
import sys

item = sys.argv[1:]
item = '+'.join(item)
link = 'http://www.flipkart.com/search/a/all?query={0}&vertical=all&dd=0&autosuggest[as]=off&autosuggest[as-submittype]=entered&autosuggest[as-grouprank]=0&autosuggest[as-overallrank]=0&autosuggest[orig-query]=&autosuggest[as-shown]=off&Search=%C2%A0&otracker=start&_r=YSWdYULYzr4VBYklfpZRbw--&_l=pMHn9vNCOBi05LKC_PwHFQ--&ref=a2c6fadc-2e24-4412-be6a-ce02c9707310&selmitem=All+Categories'.format(item)
response = urllib2.urlopen(link)
thePage = response.read()

rishimukherjee

path = '/home/rishi/Documents/'
fname = 'MyImg'
#fname = ''
if path:
    import glob, re, os, tempfile
    if fname:
        if os.path.exists(path):
            if path[-1]!='/': path+='/'
            gpath = path + fname + "*.png"
            current_images = glob.glob(gpath)

rishimukherjee

import scipy.ndimage as ndi
import scipy
import numpy
import Image
import math

sigma = 1.4
f = 'lena_std.tif'
img = Image.open(f).convert('L')                                          #grayscale
imgdata = numpy.array(img, dtype = float)                                 

rishimukherjee

from SimpleCV import *
import cv2
import cv
import numpy as np

img1 = Image("s.jpg")
img1cv = cv.imread("s.jpg")
img2 = Image("t.jpg")
img2cv = cv.imread("t.jpg")
dst = Image((1600, 1200))

rishimukherjee

from SimpleCV import *
import cv2
import cv
import numpy as np

img1 = Image("s.jpg")
img1cv = cv.imread("s.jpg")
img2 = Image("t.jpg")
img2cv = cv.imread("t.jpg")
dst = Image((1600, 1200))

rishimukherjee

#!/usr/bin/python 
import time
from SimpleCV import Color, Image, np, Camera

cam = Camera() #initialize the camera
quality = 400
minMatch = 0.3

try:
    password = Image("password.jpg")

rishimukherjee

from SimpleCV import *
import cv2
import cv
import numpy as np

img1 = Image("t.jpg")
img2 = Image("s.jpg")
src = img1.copy()
dst = Image((1600, 1200))
ofimg = img1.findKeypointMatch(img2)