Умные программисты помогите(⁠⁠

import sys

import cv2 as cv

import numpy as np

from collections import Counter

from glob import glob

def main(argv):

## [load]

default_file = 'opencv_frame_6.png'

filename = argv[0] if len(argv) > 0 else default_file

sum = 0

# Loads an image

src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_COLOR)

# Check if image is loaded fine

if src is None:

print ('Error opening image!')

print ('Usage: hough_circle.py [image_name -- default ' + default_file + '] \n')

return -1

## [load]

## [convert_to_gray]

# Convert it to gray

gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)

## [convert_to_gray]

## [reduce_noise]

# Reduce the noise to avoid false circle detection

gray = cv.medianBlur(gray, 5)

## [reduce_noise]

## [houghcircles]

rows = gray.shape[0]

circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, rows / 15,

param1=100, param2=28,

minRadius=59, maxRadius=130)

circles1 = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, rows / 21,

param1=150, param2=28,

minRadius=1, maxRadius=50)## [houghcircles]

## [draw]

if circles is not None:

circles = np.uint16(np.around(circles)).astype("int")

color_red = (0,0,255)

for i in circles[0, :]:

center = (i[0], i[1])

# circle center

cv.circle(src, center, 1, (0, 100, 100), 3)

# circle outline

radius = i[2]

cv.circle(src, center,radius,(255, 0, 255), 3)

# большие круги ниже

if circles1 is not None:

circles1 = np.uint16(np.around(circles1)).astype("int")

color_red = (0,0,255)

for i in circles1[0, :]:

center = (i[0], i[1])

# circle center

cv.circle(src, center, 1, (0, 100, 100), 3)

# circle outline

radius = i[2]

cv.circle(src, center, radius, (255, 0, 255), 3)

## [draw]

## [display]

cv.imshow("detected circles", src)

print (circles)

print (circles1)

#print (len(circles[0]))

#print (len(circles1[0]))

cv.waitKey(0)

## [display]

return 0

if __name__ == "__main__":

main(sys.argv[1:])