#!/usr/bin/env python
# from ctypes import sizeof
# from ctypes_opencv import *

import time
import sys
import random
from opencv import cv
from opencv import highgui

orig_win = highgui.cvNamedWindow('original');
binary_win = highgui.cvNamedWindow('binary');



image = highgui.cvLoadImage("frame.jpg", 1);
work  = cv.cvCloneImage( image ); #cv.cvCreateImage( cv.cvGetSize( image ), 8, 3 );

tmp   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 3 );
hsv   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 3 );
hue   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );
sat   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );
val   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );

hRange   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );
sRange   = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );


mask  = cv.cvCreateImage( cv.cvGetSize( image ), 8, 1 );

#IplImage* cvCloneImage( const IplImage* image );

work = image;

lastMouseX = 0;
lastMouseY = 0;
active = False;

hdims = 16
hranges = [[0, 180]]
hist = cv.cvCreateHist ([hdims], cv.CV_HIST_ARRAY, hranges )


def mouseHandler( evt, mouseX, mouseY, flags, param ):
    global active, lastMouseX, lastMouseY
    if evt == highgui.CV_EVENT_LBUTTONDOWN:
        lastMouseX = mouseX
        lastMouseY = mouseY;
        active = True;

highgui.cvSetMouseCallback("original", mouseHandler, None)


while True:
    highgui.cvShowImage('original', work)

    if not active:
        highgui.cvWaitKey(100)
        continue

    color = cv.CV_RGB(
        random.randint( 0, 255 ),
        random.randint( 0, 255 ),
        random.randint( 0, 255 )
    );

    red  = cv.CV_RGB(255, 0, 0);
    comp  = cv.CvConnectedComp();
    point = cv.cvPoint( lastMouseX, lastMouseY );
    lo    = 50;
    hi    = 50;
    flags = 4 + (255 << 8) + cv.CV_FLOODFILL_FIXED_RANGE

    work = cv.cvCloneImage( image );
    cv.cvCvtColor( image, hsv, cv.CV_BGR2HSV)
    pixel = hsv[lastMouseY, lastMouseX];

    cv.cvFloodFill( work, point, color, cv.CV_RGB( lo, lo, lo ), cv.CV_RGB( hi, hi, hi ), comp, flags );


    #hsv_min = cv.cvScalar( pixel[1] - lo, pixel[2] - lo, pixel[3], 0 );
    #hsv_max = cv.cvScalar( pixel[1] + lo, pixel[2] + lo, pixel[3], 0 );

    #print cv.cvInRangeS( hsv, hsv_min, hsv_max, mask );

    #cv.cvInRangeS (hsv, hsv[lastMouseY, lastMouseX][1]-lo, hsv[lastMouseY, lastMouseX][1]-lo, mask)
   #  cv.cvInRangeS( hsv, hsv_min, hsv_max, mask );
    #cv.cvSplit (hsv, hue, None, None, None);

    cv.cvSplit(hsv, hue, sat, val, None)

    #    cv.cvInRangeS( hue, hLower, hUpper, hueRange );

    print pixel;


    cv.cvInRangeS( sat, pixel[1] - lo, pixel[1] + lo, sRange );
    cv.cvInRangeS( hue, pixel[0] - lo, pixel[0] + lo, hRange );

    mask = sRange * hRange;



    hue_roi  = cv.cvGetSubRect(hue, comp.rect)
    mask_roi = cv.cvGetSubRect(mask, comp.rect)

    # it's time to compute the histogram
    # cv.cvCalcHist ([hue_roi], hist, 0, mask_roi)

    # extract the min and max value of the histogram
    # min_val, max_val = cv.cvGetMinMaxHistValue(hist)

    # print min_val, max_val;

    highgui.cvShowImage('binary', mask );


    #cv.cvDrawContours( work, comp.area, red, red, 1);

    cv.cvRectangle( work, [comp.rect.x, comp.rect.y], [comp.rect.x + comp.rect.width, comp.rect.y + comp.rect.height], red)

    size  = cv.cvSize( comp.rect.width, comp.rect.height );

    binary = cv.cvCreateImage( size, 8, 1);



    active = False;
    highgui.cvWaitKey(100)