jayrambhia

def matchSIFTKeyPoints(self, template, quality=200):
    try:
        import cv2
    except ImportError:
        logger.warning("OpenCV >= 2.3.0 required")
    if template == None:
        return None
    detector = cv2.FeatureDetector_create("SIFT")
    descriptor = cv2.DescriptorExtractor_create("SIFT")
    img = self.getNumpyCv2()

jayrambhia

compiling opencv_webcam.cpp
opencv_webcam.cpp: In function ‘int main()’:
opencv_webcam.cpp:8:9: error: ‘cap’ was not declared in this scope
opencv_webcam.cpp:11:9: error: ‘k’ was not declared in this scope
opencv_webcam.cpp:11:23: error: ‘waitkey’ was not declared in this scope
opencv_webcam.cpp:12:9: error: expected ‘;’ before ‘if’
Output file => opencv_webcam

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):

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

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

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

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

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

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

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()