| .. | ||
| externals/sdsv_dewarp | ||
| scripts | ||
| src | ||
| __init__.py | ||
| .gitignore | ||
| README.md | ||
| requirements.txt | ||
| run.py | ||
| settings.yml | ||
| TODO.todo | ||
OCR Engine
OCR Engine is a Python package that combines text detection and recognition models from mmdet and mmocr to perform Optical Character Recognition (OCR) on various inputs. The package currently supports three types of input: a single image, a recursive directory, or a csv file.
Installation
To install OCR Engine, clone the repository and install the required packages:
git clone git@github.com:mrlasdt/ocr-engine.git
cd ocr-engine
pip install -r requirements.txt
Usage
To use OCR Engine, simply run the ocr_engine.py script with the desired input type and input path. For example, to perform OCR on a single image:
python ocr_engine.py --input_type image --input_path /path/to/image.jpg
To perform OCR on a recursive directory:
python ocr_engine.py --input_type directory --input_path /path/to/directory/
To perform OCR on a csv file:
python ocr_engine.py --input_type csv --input_path /path/to/file.csv
OCR Engine will automatically detect and recognize text in the input and output the results in a CSV file named ocr_results.csv.
Contributing
If you would like to contribute to OCR Engine, please fork the repository and submit a pull request. We welcome contributions of all types, including bug fixes, new features, and documentation improvements.
License
OCR Engine is released under the MIT License. See the LICENSE file for more information.