You first need to install tesseract

brew install tesseract

This will install tesseract supporting English. If you want to add other languages (French for instance), you can add:

brew install tesseract-lang

1. Download Binary from https://github.com/UB-Mannheim/tesseract/wiki
2. Run the executable file to install. It should install it to C:\Program Files (x86)\Tesseract-OCR
3. Make sure your TESSDATA_PREFIX environment variable is set correctly

• Go to Control Panel -> System -> Advanced System Settings -> Advanced tab -> Environment Variables... button
• In System variables window scroll down to TESSDATA_PREFIX. If it's not right, select and click Edit...

sudo apt-get update
sudo apt-get install tesseract-ocr
sudo apt-get install libtesseract-dev

pip install tesseract
pip install tesseract-ocr

You can install this package by cloning the repository and using this command :

cd batch9_dyslexia
pip install .

You can use pip install -e . if you are developing on it.

Using the package

Example using dyslexia

from dyslexia import preprocessing
from dyslexia.io import load_image
from dyslexia.ocr import extract_text_from_image

fpath = 'Exemples/SVT/IMG_20210329_123029.jpg'
image_orig = load_image(fpath)
image_no_shadow = preprocessing.remove_shadow(image_orig)
image_gray = preprocessing.image_to_gray(image_no_shadow, threshold=True)

result = extract_text_from_image(image_gray)

Using the pipeline

from dyslexia.app import get_results

fpath = 'Exemples/SVT/IMG_20210329_123029.jpg'
result = get_results(image_gray)

=======

uvicorn app:app --port 5000

Access swagger : http://127.0.0.1:5000/docs#/

Takes as input a file object and outputs the ocr results in the form

{"paragraphs" : ["....", "...."], "bboxes": [[0,0,100,50], [0,100,100,50]]}

Where paragraphs is the list of differents paragraphs and bboxes the coordinates (x1,y1,w,h) for each paragraph

Takes as input an image and outputs the ocr results in the form

{"paragraphs" : ["....", "...."], "bboxes": [[0,0,100,50], [0,100,100,50]]}

Where paragraphs is the list of differents paragraphs and bboxes the coordinates (x1,y1,w,h) for each paragraph

Example query :

curl -X 'POST' \
  'http://127.0.0.1:5000/ocr_url/?url=https%3A%2F%2Fdata2.unhcr.org%2Fimages%2Fdocuments%2Fbig_4cda85d892a5c0b5dd63b510a9c83e9c9d06e739.jpg' \
  -H 'accept: application/json' \
  -d ''

docker-compose build

docker-compose up

dyslexia eval-txt-folder --truth_path tests/data/truth/ --hypothesis_path tests/data/hypothesis/

output

wer : 0.16666666666666666
mer : 0.16129032258064516
wil : 0.27311827956989243
wip : 0.7268817204301076
hits : 26.0
substitutions : 4.0
deletions : 0.0
insertions : 1.0