import numpy as np
import cv2 as cv

colorLower_1 = (10,1,220)
colorUpper_1 = (40,220,255)
colorLower_2 = (20,1,200)
colorUpper_2 = (40,255,255)

cap = cv.VideoCapture(0)

while True:
    ret, frame = cap.read()
    frame = cv.resize(frame, (600,480))

    img = cv.medianBlur(frame, 3)

    hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
    first = cv.inRange(hsv, colorLower_1, colorUpper_1)
    second = cv.inRange(hsv, colorLower_2, colorUpper_2)
    img = cv.addWeighted( src1=first, alpha=1, src2=second, beta=1, gamma=0, dst=img)
    img = cv.erode(img, None, iterations=2)
    img = cv.dilate(img, None, iterations=2)
    img = cv.GaussianBlur(img, (9,9), 2)
    circles = cv.HoughCircles(img, cv.HOUGH_GRADIENT, 1,200,
                                    param1=100,param2=30,minRadius=10)

    if circles is not None:
        circles = np.round(circles[0, :]).astype("int")
        for (x, y, r) in circles:
            cv.circle(frame,(int(x), int(y)), int(r),
                            (0, 255, 255), 2)

    # cv.imshow('img', img)
    # cv.imshow('first', first)
    # cv.imshow('second', second)
    cv.imshow('frame', frame)
    cv.waitKey(1)