main.py

import functnDefinitions
import cv2
import sys
import numpy as np

inputFile = str(sys.argv[-1])
input = cv2.imread("smaller.jpg", cv2.IMREAD_GRAYSCALE)
binary = functnDefinitions.binarize(input)
cropped = functnDefinitions.crop_It(binary)
tiltCrrctd = functnDefinitions.removeTilt(cropped)
cropped = tiltCrrctd
# tiltCrrctd = binary
# cropped = tiltCrrctd
Lines = functnDefinitions.getLines(cropped)
(h, w) = cropped.shape[:2]
totlLines = len(Lines)
for i in range(0, totlLines, 2):
    chars = functnDefinitions.getchars(cropped, Lines[i], Lines[i + 1])
    totlChars = len(chars)
    for j in range(0, totlChars, 2):
        cropped[Lines[i]: Lines[i + 1], chars[j]: chars[j + 1]] = cv2.dilate(cropped[Lines[i] : Lines[i + 1], chars[j] : chars[j + 1]],np.ones((2, 2), np.uint8),iterations=4)
        cv2.rectangle(cropped, (chars[j] - 2, Lines[i] - 5), (chars[j + 1] + 2, Lines[i + 1] + 2), (255, 255,
        255), 2)
cv2.imshow("text", cv2.resize(cropped,(1366, 768)))
# cv2.imshow("text", cropped)
cv2.imwrite("output.jpg", cropped)
cv2.waitKey(0)
cv2.destroyAllWindows()