clahe = cv2.createCLAHE(clipLimit=50, tileGridSize=(50, 50))
lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
l, a, b = cv2.split(lab)
l2 = clahe.apply(l)
lab = cv2.merge((l2, a, b))
img2 = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)
gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 75, 255, cv2.THRESH_BINARY_INV )
kernel = np.ones((2, 2), np.uint8)
obr_img = cv2.erode(thresh, kernel, iterations=1)
obr_img = cv2.GaussianBlur(obr_img, (3,3), 0)

contours, hierarchy = cv2.findContours(dilated_value, cv2.RETR_TREE, cv2.CHAIN_APPROX_TC89_L1)
coordinates = []
ogr = round(max(img.shape[0], img.shape[1]) * 0.005)
delta = round(ogr/2 +0.5)
ind = 1;
for i in range(0, len(contours)):
  l, t, w, h = cv2.boundingRect(contours[i])
  if (h > ogr and w > ogr):
    #Индекс блока
    #Индекс контура
    #Индекс родителя
    #х
    #у
    #ширина
    #высота
    #текст
    coordinates.append((0, ind, 0, l, t, w, h, ''))
    ind = ind + 1

text1 = pytesseract.image_to_string(image[t1:t2,l1:l2], lang=lang, config='--psm 6')
text2 = pytesseract.image_to_string(image[t1:t2,l1:l2], lang=lang, config='')
text3 = pytesseract.image_to_string(image[t1+round(delta/2):t2-round(delta/2),l1+round(delta/2):l2-round(delta/2)], lang=lang, config='--psm 7')
text1 = text1.replace("\n", " ")
text2 = text2.replace("\n", " ")
text3 = text3.replace("\n", " ")
text1 = re.sub(' *[^ \(\)А-Яа-я\d\w\/\\\.\-,:; ]+ *', ' ', text1)
text2 = re.sub(' *[^ \(\)А-Яа-я\d\w\/\\\.\-,:; ]+ *', ' ', text2)
text3 = re.sub(' *[^ \(\)А-Яа-я\d\w\/\\\.\-,:; ]+ *', ' ', text3)
while text1.find('  ')!=-1:
    text1 = text1.replace('  ',' ')
while text2.find('  ') != -1:
    text2 = text2.replace('  ', ' ')
while text3.find('  ') != -1:
    text3 = text3.replace('  ', ' ')