OpenCV experiment

findColor.py

import cv2 as cv
import numpy as np

def nothing(x):
    pass

#img = cv.imread('fil_img.jpg')
cap = cv.VideoCapture(0)



#hsv color is  0-179 (180) for hue, 0-255 for saturation, and 0-255 for value
cv.namedWindow('controls')
#Top Color
cv.createTrackbar('topColorH','controls',0,179,nothing)
cv.createTrackbar('topColorS','controls',0,255,nothing)
cv.createTrackbar('topColorV','controls',0,255,nothing)
#Bottom color
cv.createTrackbar('botColorH','controls',0,179,nothing)
cv.createTrackbar('botColorS','controls',0,255,nothing)
cv.createTrackbar('botColorV','controls',0,255,nothing)

sample = np.zeros((512,512,3), np.uint8)


while 1:
    #get frame
    grabbed, frame = cap.read()

    #get slider values
    top_color = np.uint8([[[    cv.getTrackbarPos('topColorH','controls'), \
                                cv.getTrackbarPos('topColorS','controls'), \
                                cv.getTrackbarPos('topColorV','controls') ]]])

    bot_color = np.uint8([[[    cv.getTrackbarPos('botColorH','controls'), \
                                cv.getTrackbarPos('botColorS','controls'), \
                                cv.getTrackbarPos('botColorV','controls') ]]])

    print 'top_color' , top_color
    print 'bot_color' , bot_color
    
    #set sample colors
    sample[:,0:255]= cv.cvtColor(top_color, cv.COLOR_HSV2BGR)
    sample[:,255:512]= cv.cvtColor(bot_color, cv.COLOR_HSV2BGR)
	
    #11,11 is the matrix size used to blur the image

    blur = cv.GaussianBlur(frame, (11,11), 0)
    hsv = cv.cvtColor(blur, cv.COLOR_BGR2HSV)  
    result = cv.inRange(hsv, bot_color, top_color) 

    cv.imshow('result', result)
    cv.imshow('controls', sample)
    cv.imshow('original', frame)


    k = cv.waitKey(5) &  0xFF
    if k == 27:
        break

cv.destroyAllWindows()