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text-recognition-test-task's Introduction

How to run the project

1. Clone this repository

2. Install the dependencies

On Linux

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

On Mac

brew install tesseract

On Windows

Download binary from https://github.com/UB-Mannheim/tesseract/wiki. then add pytesseract.pytesseract.tesseract_cmd = 'C:\Program Files\Tesseract-OCR\tesseract.exe' to your script. (Replace the path of tesseract binary if necessary). Check line 13 from ocr_model and change the path there to match your tesseract binary path.

3. Download the chinese language data

For the chinese language data to work, you will need to move the chi_sim.traineddata file to the tessdata folder in your Tesseract-OCR directory. Chi_sim.traineddata is located in data/datatrain/chi_sim.traineddata in this project.

Or alternatively, download the train data from https://github.com/tesseract-ocr/tessdata/blob/main/chi_sim.traineddata and place this file in the tessdata folder in your Tesseract-OCR directory.

4. Run the project

Open the project in your IDE and run the main.py file. The accuracy achieved by this model is 0.94 on the public data.

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