Multiprocessing OCR with Tesseract

pip install tesseractmultiprocessing

Worth using if you:

1. have plenty of different files

2. are using numpy

Multi: 23.9910116

One CPU: 100.61128 #pytesseract

from tesseractmultiprocessing import tesser2df

from a_cv_imwrite_imread_plus import open_image_in_cv

from time import perf_counter



picslinks = [

    r"https://github.com/hansalemaos/screenshots/raw/main/pandsnesteddicthtml.png",

    r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000000.png",

    r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000008.png",

    r"https://github.com/hansalemaos/screenshots/raw/main/cv2_putTrueTypeText_000017.png",

]

picsunique = [open_image_in_cv(x) for x in picslinks]

pics = []

for _ in range(100):

    pics.extend(picsunique)



start = perf_counter()

output = tesser2df(

    pics,

    language="eng",

    pandas_kwargs={"on_bad_lines": "warn"},

    tesser_args=(),

    cpus=5,

    tesser_path=r"C:\Program Files\Tesseract-OCR\tesseract.exe",

)

print(f"Multi: {perf_counter()-start}")





################################################################################



import pytesseract



pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"





def st():

    alla = []

    for p in pics:

        alla.append(pytesseract.image_to_data(p))

    return alla





start = perf_counter()

output2 = st()

print(f"One CPU: {perf_counter()-start}")





# Multi: 23.9910116

# One CPU: 100.61128



# output[0]

# Out[4]:

# (    level  page_num  block_num  par_num  ...  start_x  start_y  end_x  end_y

#  0       1         1          0        0  ...        0        0   1465    654

#  1       2         1          1        0  ...      322       64    327    540

#  2       3         1          1        1  ...      322       64    327    540

#  3       4         1          1        1  ...      322       64    327    540

#  4       5         1          1        1  ...      322       64    327    540

#  ..    ...       ...        ...      ...  ...      ...      ...    ...    ...

#  60      5         1         11        1  ...       14      633   1448    644

#  61      2         1         12        0  ...     1445       15   1450    639

#  62      3         1         12        1  ...     1445       15   1450    639

#  63      4         1         12        1  ...     1445       15   1450    639

#  64      5         1         12        1  ...     1445       15   1450    639

#

#  [65 rows x 19 columns],

#  array([[[255, 255, 255],

#          [255, 255, 255],

#          [255, 255, 255],

#          ...,

#          [255, 255, 255],

#          [255, 255, 255],

#          [255, 255, 255]],

#

#         [[255, 255, 255],

#          [255, 255, 255],

#          [255, 255, 255],

#          ...,

#          [255, 255, 255],

#          [255, 255, 255],

#          [255, 255, 255]],