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ocr.py
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ocr.py
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import re
from consts import CONSTS
if CONSTS.ocr:
if CONSTS.ocr_type == 'doctr':
from typing import List
from doctr.io import DocumentFile
from doctr.io.elements import Page
from doctr.models import ocr_predictor
from doctr.models.predictor.pytorch import OCRPredictor
from numpy import ndarray
elif CONSTS.ocr_type == 'tesseract':
import string
import pytesseract
elif CONSTS.ocr_type == 'ocrs':
import subprocess
else:
raise ValueError('CONSTS.ocr_type not specified in configs.py')
def apply_text_filter(func):
def wrapper(self, *args, **kwargs):
text = func(self, *args, **kwargs)
return self.text_filter(text)
return wrapper
class OCRBase:
def __init__(self):
pass
def process(self):
pass
def text_filter(self, text):
return re.sub(r'(?m)^\s*\S{1,3}\s*$\n?', '', text).strip()
class OCRDoctr(OCRBase):
"""
python3.12 -m pip install doctr
"""
def __init__(self):
print('Loading OCR Model...')
self.model: OCRPredictor = ocr_predictor(det_arch='db_resnet50', reco_arch='crnn_vgg16_bn', pretrained=True)
@apply_text_filter
def process(self, image_path):
doc: List[ndarray] = DocumentFile.from_images(image_path)
result: Page = self.model(doc)
return result.render()
class OCRTerreract(OCRBase):
"""
sudo apt update
sudo apt install tesseract-ocr
sudo apt install libtesseract-dev
python3.12 -m pip install pytesseract
"""
def __init__(self):
whitelist = string.printable.replace('"', '\\"').replace("'", "\\'")
self.config = fr'-c tessedit_char_whitelist=" {whitelist}"'
pass
@apply_text_filter
def process(self, image_path):
text = pytesseract.image_to_string(image_path, config=self.config, timeout=20)
return text
class OCRRobertKnight(OCRBase):
"""
curl https://sh.rustup.rs -sSf | sh
sudo apt install cargo
cargo install ocrs-cli
"""
def __init__(self):
pass
@apply_text_filter
def process(self, image_path):
text = subprocess.run(['ocrs', image_path], capture_output=True, text=True).stdout
return text