Tawakkalna Scanner

(pyvenv-workon "tawakkalna_env")

import os
import easyocr
reader = easyocr.Reader(['en'], gpu = False)
reader_ar = easyocr.Reader(['ar'], gpu = False)

dir_path = "/mnt/data/Dropbox/pictures/tawakkalna/english"
print(dir_path)
image_paths = os.listdir(dir_path)
image_paths = [dir_path  + '/' + path for path in image_paths]

dir_path_ar = "/mnt/data/Dropbox/pictures/tawakkalna/arabic"
image_paths_ar = os.listdir(dir_path_ar)
image_paths_ar = [dir_path_ar  + '/' + path for path in image_paths_ar]

for path in image_paths:
    print(path)
    result = reader.readtext(path, detail = 0)
    print(result)

for path in image_paths_ar:
    print(path)
    result = reader_ar.readtext(path, detail = 0)
    print(result)

from paddleocr import PaddleOCR, draw_ocr
# Paddleocr supports Chinese, English, French, German, Korean and Japanese.
# You can set the parameter `lang` as `ch`, `en`, `french`, `german`, `korean`, `japan`
# to switch the language model in order.
ocr = PaddleOCR(use_angle_cls=True, lang='en') # need to run only once to download and load model into memory
print(ocr)

for path in image_paths:
    print(path)
    result = ocr.ocr(path, cls=True)
    for line in result:
        print(line)
      # draw result
    # from PIL import Image
    # image = Image.open(path).convert('RGB')
    # boxes = [line[0] for line in result]
    # txts = [line[1][0] for line in result]
    # scores = [line[1][1] for line in result]
    # im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
    # im_show = Image.fromarray(im_show)
    # im_show.save('result.jpg')