39 lines
1.8 KiB
Markdown
39 lines
1.8 KiB
Markdown
# vsv_proj
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Machine vision project
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### Place images to ocr in a folder called input.
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Dependencies provided in `pyproject.toml`.
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To run and work on:
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* Install python >=3.9
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* Install `tesseract tesseract-data-eng` using your favorite package manager
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* Install poetry: `python -m pip install poetry`
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* Create poetry config location: `mkdir ~/.config/pypoetry`
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* Tell poetry to separate venvs: `echo '[virtualenvs]\nin-project=true\n' > ~/.config/pypoetry/config.toml`
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* Clone this repo
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* cd into repo: `cd vsv_proj`
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* Create folder for input input images: `mkdir input`
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* Place extraced images into input folder
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* Create virtual env: `python -m venv .venv`
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* Install dependencies: `python -m poetry install`
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* Activate venv: `. .venv/bin/activate`
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* Run script: `python ocr.py`
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To run and work on in w*ndows (cmd):
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* Install [python](https://www.python.org/downloads/) >=3.9
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* Install [tesseract](https://github.com/UB-Mannheim/tesseract/wiki), **Use default installation path!**
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* Add tesseract to PATH (using admin cmd): `setx Path "C:\Program Files\Tesseract-OCR;%PATH%"`
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* Close and reopen cmd window(s)
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* Install poetry: `python.exe -m pip install poetry`
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* Create poetry config location: `mkdir %APPDATA%\pypoetry`
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* Tell poetry to separate venvs: `echo [virtualenvs] > %APPDATA%\pypoetry\config.toml && echo.in-project=true >> %APPDATA%\pypoetry\config.toml`
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* Clone or download and extract the repo
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* Navigate to the cloned/extracted repo: `cd PATH-TO-FOLDER`
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* Create folder for input images: `mkdir input`
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* Place extraced images into input folder
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* Create virtual env: `python.exe -m venv .venv`
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* Install dependencies: `python.exe -m poetry install`
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* Activate venv: `".venv\Scripts\activate.bat"`
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* Run script: `python.exe ocr.py`
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Note: To deactivate venv run `".venv\Scripts\deactivate.bat"`
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