detected.py

import pytesseract
import cv2
img = cv2.imread('data/data.png')
# img = cv2.resize(img, (600, 360))
hImg, wImg, _ = img.shape
pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'
boxes = pytesseract.image_to_boxes(img)
for b in boxes.splitlines():
    b = b.split(' ')
    print(b)
    x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
    cv2.rectangle(img, (x, hImg - y), (w, hImg - h), (50, 50, 255), 1)
    cv2.putText(img, b[0], (x, hImg - y + 13),
                cv2.FONT_HERSHEY_SIMPLEX, 0.4, (50, 205, 50), 1)

cv2.imshow('Detected text', img)
cv2.waitKey(0)


def detectedText(loc):
    img = cv2.imread(loc)
    hImg, wImg, _ = img.shape
    pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'
    boxes = pytesseract.image_to_boxes(img)
    for b in boxes.splitlines():
        b = b.split(' ')
        print(b)
        x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
        cv2.rectangle(img, (x, hImg - y), (w, hImg - h), (50, 50, 255), 1)
        cv2.putText(img, b[0], (x, hImg - y + 13),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.4, (50, 205, 50), 1)

    cv2.imwrite('temp/boxes_with_names.jpg', img)
    cv2.waitKey(0)