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I solved it:

#!/usr/bin/python37
#OpenCV 4.1.2, Raspberry pi 34/3b/4
#Date: 12th December, 2019

import cv2 as cv
import numpy as np

img = cv.imread('small_contour.jpg')
image_contours = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)

image_binary = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)
image_area = img.shape[1] * img.shape[0]

for channel in range(img.shape[2]):
    ret, image_thresh = cv.threshold(img[:, :, channel], 127, 255, cv.THRESH_BINARY)    
    contours = cv.findContours(image_thresh, 1, 1)[0]   
    cv.drawContours(image_contours, contours, -1, (255,255,255), 3)

contours = cv.findContours(image_contours, cv.RETR_LIST,
                           cv.CHAIN_APPROX_SIMPLE)[0]

cv.drawContours(image_binary, [max(contours, key = cv.contourArea)],
                -1, (255, 255, 255), -1)

cv.imwrite('fill_contour.jpg', image_binary)
cv.imshow('Small Contour', image_binary)
cv.waitKey(0)

Output:

I solved it:

#!/usr/bin/python37
#OpenCV 4.1.2, Raspberry pi 34/3b/4
#Date: 12th December, 2019

import cv2 as cv
import numpy as np

img = cv.imread('small_contour.jpg')
image_contours = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)

image_binary = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)
image_area = img.shape[1] * img.shape[0]

for channel in range(img.shape[2]):
    ret, image_thresh = cv.threshold(img[:, :, channel], 127, 255, cv.THRESH_BINARY)    
    contours = cv.findContours(image_thresh, 1, 1)[0]   
    cv.drawContours(image_contours, contours, -1, (255,255,255), 3)

contours = cv.findContours(image_contours, cv.RETR_LIST,
                           cv.CHAIN_APPROX_SIMPLE)[0]

cv.drawContours(image_binary, [max(contours, key = cv.contourArea)],
                -1, (255, 255, 255), -1)

cv.imwrite('fill_contour.jpg', image_binary)
cv.imshow('Small Contour', image_binary)
cv.waitKey(0)

Output: Output:

I solved it:

#!/usr/bin/python37
#OpenCV 4.1.2, Raspberry pi 34/3b/4
#Date: 12th December, 2019

import cv2 as cv
import numpy as np

img = cv.imread('small_contour.jpg')
image_contours = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)

image_binary = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)
image_area = img.shape[1] * img.shape[0]

for channel in range(img.shape[2]):
    ret, image_thresh = cv.threshold(img[:, :, channel], 127, 255, cv.THRESH_BINARY)    
    contours = cv.findContours(image_thresh, 1, 1)[0]   
    cv.drawContours(image_contours, contours, -1, (255,255,255), 3)

contours = cv.findContours(image_contours, cv.RETR_LIST,
                           cv.CHAIN_APPROX_SIMPLE)[0]

cv.drawContours(image_binary, [max(contours, key = cv.contourArea)],
                -1, (255, 255, 255), -1)

cv.imwrite('fill_contour.jpg', image_binary)
cv.imshow('Small Contour', image_binary)
cv.waitKey(0)

Output: Output:

I solved it:

#!/usr/bin/python37
#OpenCV 4.1.2, Raspberry pi 34/3b/4
3/3b/4
#Date: 12th December, 2019

import cv2 as cv
import numpy as np

img = cv.imread('small_contour.jpg')
image_contours = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)

image_binary = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)
image_area = img.shape[1] * img.shape[0]

for channel in range(img.shape[2]):
    ret, image_thresh = cv.threshold(img[:, :, channel], 127, 255, cv.THRESH_BINARY)    
    contours = cv.findContours(image_thresh, 1, 1)[0]   
    cv.drawContours(image_contours, contours, -1, (255,255,255), 3)

contours = cv.findContours(image_contours, cv.RETR_LIST,
                           cv.CHAIN_APPROX_SIMPLE)[0]

cv.drawContours(image_binary, [max(contours, key = cv.contourArea)],
                -1, (255, 255, 255), -1)

cv.imwrite('fill_contour.jpg', image_binary)
cv.imshow('Small Contour', image_binary)
cv.waitKey(0)

Output:

I solved it:

#!/usr/bin/python37
#OpenCV 4.1.2, Raspberry pi 3/3b/4
#Date: 12th December, 2019

import cv2 as cv
import numpy as np

img = cv.imread('small_contour.jpg')
image_contours = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)

image_binary = np.zeros((img.shape[1], img.shape[0], 1), np.uint8)
image_area = img.shape[1] * img.shape[0]

for channel in range(img.shape[2]):
    ret, image_thresh = cv.threshold(img[:, :, channel], 127, 255, cv.THRESH_BINARY)    
    contours = cv.findContours(image_thresh, 1, 1)[0]   
    cv.drawContours(image_contours, contours, -1, (255,255,255), 3)

contours = cv.findContours(image_contours, cv.RETR_LIST,
                           cv.CHAIN_APPROX_SIMPLE)[0]

cv.drawContours(image_binary, [max(contours, key = cv.contourArea)],
                -1, (255, 255, 255), -1)

cv.imwrite('fill_contour.jpg', image_binary)
cv.imshow('Small Contour', image_binary)
cv.waitKey(0)

Output: