import cv2
import numpy as np

imgg = cv2.imread('12.png', cv2.IMREAD_GRAYSCALE)

_, imggt = cv2.threshold(imgg, 150, 255, cv2.THRESH_BINARY_INV)
_, contours, _ = cv2.findContours(imggt, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)

max_area = 8000
min_area = 10
max_rec_area = max_area * 4 / 3.14
count = 0

img_with_recs = imggt.copy()
for cnt in contours:
    if cv2.contourArea(cnt) < max_area and cv2.contourArea(cnt) > min_area:
        [x, y, w, h] = cv2.boundingRect(cnt)
        if w * h < max_rec_area:
            cv2.rectangle(img_with_recs, (x, y), (x + w, y + h), 0, 1)
            count += 1
print(count)
cv2.imwrite(str(count) + '.jpg', img_with_recs)