jayrambhia

import urllib2
import urllib
#import re
from BeautifulSoup import BeautifulSoup

""" 
Download this file in html version 
https://docs.google.com/spreadsheet/ccc?key=0AsKzpC8gYBmTcGpHbFlILThBSzhmZkRhNm8yYllsWGc&hl=en#gid=0"
"""
url = "The URL of above file" # url = "file:///home/jay/Downloads/index.html"

jayrambhia

"""
See this gist: https://gist.github.com/1984424
Download both of these gists. save it in same folder. The down_xkcd.py will download all the xkcd comics from net. And view comics using xkcd_viewer.py
"""

import pygtk
import gtk
from PIL import Image
import os
from random import randint

jayrambhia

import pygtk
import gtk
import os
from random import randint
import urllib2
import os
from BeautifulSoup import BeautifulSoup
from threading import Thread
import gobject
gtk.gdk.threads_init()

jayrambhia

from math import sqrt

def calculateBBCenter(bb):
    center = (0.5*(bb[0] + bb[2]),0.5*(bb[1]+bb[3]))
    return center
    
def getFilledBBPoints(bb, numM, numN, margin):
    pointDim = 2
    bb_local = (bb[0] + margin, bb[1] + margin, bb[2] - margin, bb[3] - margin)
    if numM == 1 and numN == 1 :

jayrambhia

from SimpleCV import *
from cv2.cv import *
from cv2 import *
import time
import math
from copy import deepcopy

def fbtrack(imgI, imgJ, bb):
    numM = 10
    numN = 10

jayrambhia

echo "Install SimpleCV"
echo "Installing pre-reqisites"
sleep 1
echo "Installing OpenCV..."
sudo apt-get install libopencv-*
sudo apt-get install python-opencv
echo "OpenCV installed"
echo "Installing numpy and scipy"
sudo apt-get install python-numpy python-scipy
echo "numpy and scipy installed"

jayrambhia

PYTHON_VERSION = 2.7
PYTHON_INCLUDE = /usr/include/python$(PYTHON_VERSION)

# location of the Boost Python include files and library

BOOST_INC = /usr/include
BOOST_LIB = /usr/lib

# compile mesh classes
TARGET = opencvtest

jayrambhia

from SimpleCV import *
import time, cv2
import cv2.cv as cv

i = Image("Python/SimpleCV/line1.jpg")
g = i.getGrayNumpyCv2()
em = cv2.Canny(g, 70, 100)
l = cv2.HoughLines(em, 1.0, cv.CV_PI/180.0, 100)
print l.shape
l = l[0]

jayrambhia

import cv2
import numpy as np
import itertools

lk_params = dict( winSize  = (10, 10), 
                  maxLevel = 5, 
                  criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))   

feature_params = dict( maxCorners = 3000, 
                       qualityLevel = 0.5,

jayrambhia

import cv2
import cv2.cv as cv
"""
Got the idea from http://newpathprep.wordpress.com/2012/08/13/opencv-forward-and-rewind-avi/
He has done it in C++.
"""
def start(capture, n):
    cv.SetCaptureProperty(capture, cv.CV_CAP_PROP_POS_FRAMES, n-1)

def rewind(capture):