hue filter

import cv2
import numpy as np
import glob
from gray_contourer2 import GrayContourer

def mask(img):
    c = GrayContourer(img,60,0)
    # only give data for the biggest object found
    contours = sorted(c.contours, key=cv2.contourArea)
    if len(contours) == 0:
        print "no contour found"
        return []
    contour = contours[-1]
    mask = np.zeros(img.shape[:2],np.uint8)
    cv2.drawContours(mask,[contour],0,255,-1)
    return mask

f = '../process_accepted/2017-11-22T20:35:01.999624.jpg'
img = cv2.imread(f)
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
res = cv2.bitwise_and(hsv,hsv,mask = mask(img))

rav = cv2.bitwise_and(hsv,hsv,mask = mask(img))[:,:,0].ravel()
rav[rav>35]