import numpy as np
import cv2
import time
capture = cv2.VideoCapture(0)
for i in range(1,10):
	okay, image = capture.read()
while(1):
	okay, image = capture.read()
	img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
	gray = cv2.GaussianBlur(img, (5,5),5)
	circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 150)
	if circles is not None:
		circles = np.round(circles[0, :]).astype("int")
		for (x, y, r) in circles:
			cv2.circle(gray, (x, y), r, (0, 255, 0), 4)
	cv2.imshow("asd",gray)
	cv2.waitKey(0)
a423d435ce86ec26b0ba8885b7e06c7154dba4c3
<mask token>

<mask token>
for i in range(1, 10):
    okay, image = capture.read()
while 1:
    okay, image = capture.read()
    img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(img, (5, 5), 5)
    circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 150)
    if circles is not None:
        circles = np.round(circles[0, :]).astype('int')
        for x, y, r in circles:
            cv2.circle(gray, (x, y), r, (0, 255, 0), 4)
    cv2.imshow('asd', gray)
    cv2.waitKey(0)

<mask token>
capture = cv2.VideoCapture(0)
for i in range(1, 10):
    okay, image = capture.read()
while 1:
    okay, image = capture.read()
    img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(img, (5, 5), 5)
    circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 150)
    if circles is not None:
        circles = np.round(circles[0, :]).astype('int')
        for x, y, r in circles:
            cv2.circle(gray, (x, y), r, (0, 255, 0), 4)
    cv2.imshow('asd', gray)
    cv2.waitKey(0)

import numpy as np
import cv2
import time
capture = cv2.VideoCapture(0)
for i in range(1, 10):
    okay, image = capture.read()
while 1:
    okay, image = capture.read()
    img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(img, (5, 5), 5)
    circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 150)
    if circles is not None:
        circles = np.round(circles[0, :]).astype('int')
        for x, y, r in circles:
            cv2.circle(gray, (x, y), r, (0, 255, 0), 4)
    cv2.imshow('asd', gray)
    cv2.waitKey(0)

import numpy as np
import cv2
import time
capture = cv2.VideoCapture(0)
for i in range(1,10):
	okay, image = capture.read()
while(1):
	okay, image = capture.read()
	img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
	gray = cv2.GaussianBlur(img, (5,5),5)
	circles = cv2.HoughCircles(gray, cv2.cv.CV_HOUGH_GRADIENT, 1.2, 150)
	if circles is not None:
		circles = np.round(circles[0, :]).astype("int")
		for (x, y, r) in circles:
			cv2.circle(gray, (x, y), r, (0, 255, 0), 4)
	cv2.imshow("asd",gray)
	cv2.waitKey(0)