tracker.py

import cv2
import numpy as np
from matplotlib import pyplot as plt

def nothing(x):
  pass

cv2.namedWindow('Colorbars')

hh='Max'
hl='Min'
wnd = 'Colorbars'

cv2.createTrackbar("Max", "Colorbars",0,255,nothing)
cv2.createTrackbar("Min", "Colorbars",0,255,nothing)

img = cv2.imread('pictureinput.jpg',0)
img = cv2.resize(img, (0,0), fx=0.5, fy=0.5)

# titles = ['Original Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV']
# images = [img, thresh1, thresh2, thresh3, thresh4, thresh5]

# for i in xrange(6):
#     plt.subplot(2,3,i+1),plt.imshow(images[i],'gray')
#     plt.title(titles[i])
#     plt.xticks([]),plt.yticks([])

# plt.show()

while(1):
   hul=cv2.getTrackbarPos("Max", "Colorbars")
   huh=cv2.getTrackbarPos("Min", "Colorbars")
   ret,thresh1 = cv2.threshold(img,hul,huh,cv2.THRESH_BINARY)
   ret,thresh2 = cv2.threshold(img,hul,huh,cv2.THRESH_BINARY_INV)
   ret,thresh3 = cv2.threshold(img,hul,huh,cv2.THRESH_TRUNC)
   ret,thresh4 = cv2.threshold(img,hul,huh,cv2.THRESH_TOZERO)
   ret,thresh5 = cv2.threshold(img,hul,huh,cv2.THRESH_TOZERO_INV)
   # cv2.imshow(wnd)
   cv2.imshow("thresh1",thresh1)
   cv2.imshow("thresh2",thresh2)
   cv2.imshow("thresh3",thresh3)
   cv2.imshow("thresh4",thresh4)
   cv2.imshow("thresh5",thresh5)
   k = cv2.waitKey(1) & 0xFF
   if k == ord('m'):
     mode = not mode
   elif k == 27:
     break

cv2.destroyAllWindows()