FRC 5549

import numpy as np
import argparse
import cv2
import threading
from threading import Thread
cv2.namedWindow('window')
cap = cv2.VideoCapture(0)
def nothing(x):
    pass
cv2.createTrackbar('H_lower', 'window',0,255,nothing)
cv2.createTrackbar('S_lower', 'window', 0,255,nothing)
cv2.createTrackbar('V_lower','window',0,255, nothing)
cv2.createTrackbar('H_upper', 'window',0,255, nothing)
cv2.createTrackbar('S_upper', 'window', 0,255, nothing)
cv2.createTrackbar('V_upper','window',0,255, nothing)


while(cap.isOpened()):
    ret, frame = cap.read()
    reduce = cv2.medianBlur(frame,25)
    gray = cv2.cvtColor(reduce, cv2.COLOR_BGR2HLS )
    image = cv2.medianBlur(frame,5)


    lower = np.array([cv2.getTrackbarPos('H_lower','window'),cv2.getTrackbarPos('S_lower','window'),cv2.getTrackbarPos('V_lower','window')])
    upper = np.array([cv2.getTrackbarPos('H_upper','window'),cv2.getTrackbarPos('S_upper','window'),cv2.getTrackbarPos('V_upper','window')])
    # find the colors within the specified boundaries and apply
    # the mask
   # im2, contours, hierarchy = cv2.findContours(frame,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
   # cnt = contours[4]
   # cv2.drawContours(img, [cnt], 0, (0,255,0), 3)
    mask = cv2.inRange(gray, lower, upper)
    res = cv2.bitwise_and(image ,image, mask= mask)
    cv2.imshow('image',image)
    cv2.imshow('res',res)
    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()