SAM-KIDA/Amharic-Reader

I made this amharic reader using AI for visually imparied and illetrate people. # tesstrain > Training workflow for Tesseract 5 as a Makefile for dependency tracking. * Installation * Auxiliaries * Leptonica, Tesseract * Windows * Python * Language data * Usage * Choose the model name * Provide ground truth data * Train * Change directory assumptions * Make model files (traineddata) * Plotting CER * License ## Installation ### Auxiliaries You will need at least GNU `make` (minimal version 4.2), `wget`, `find`, `bash`, and `unzip`. ### Leptonica, Tesseract You will need a recent version (>= 5.3) of tesseract built with the training tools and matching leptonica bindings. Build instructions and more can be found in the Tesseract User Manual. #### Windows 1. Install the latest tesseract (e.g. from digi.bib.uni-mannheim.de), and make sure that tesseract is added to your PATH. 2. Install Python 3 3. Install Git SCM to Windows - it provides a lot of linux utilities on Windows (e.g. `find`, `unzip`, `rm`) and put `C:\Program Files\Git\usr\bin` to the beginning of your PATH variable (temporarily you can do it in `cmd` with `set PATH=C:\Program Files\Git\usr\bin;%PATH%` - unfortunately there are several Windows tools with the same name as on linux (`find`, `sort`) with different behavior/functionality and there is need to avoid them during training. 4. Install winget/Windows Package Manager and then run `winget install ezwinports.make` and `winget install wget` to install missing tools. ### Python You need a recent version of Python 3.x. For image processing the Python library `Pillow` is used. If you don't have a global installation, please use the provided requirements file `pip install -r requirements.txt`. ### Language data Tesseract expects some configuration data (a file `radical-stroke.txt` and `*.unicharset` for all scripts) in `DATA_DIR`. To fetch them: make tesseract-langdata (While this step is only needed once and implicitly included in the `training` …