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Docr 🚀

1. Overview 🌟

🛠️ Component design with module-based functionality, allowing for on-demand feature acquisition, 🚀 easy to expand, and flexible to use, just like playing with building blocks!

Docr is a modular component-based toolkit for document analysis and processing. It's designed with flexibility and extensibility in mind, making it easy to expand and use various document processing functionalities as needed.

2. Features 🛠️

• 📄 Layout Analysis
• 🔢 Formula Detection and Recognition
• 📝 Optical Character Recognition (OCR)
• 📊 Table Structure Recognition
• 📚 Reading Order Analysis
• 🖼️ Image Processing Utilities

3. Installation and Usage 📦

3.1 Prerequisites

• Python 3.10 or higher
• Poetry (for dependency management)

3.2 Setup

1. Clone the repository:

   git clone https://github.com/yjmm10/docr.git
   cd docr
   git clone https://huggingface.co/liferecords/Telos.git docr/models
   

2. Install dependencies:

   poetry install -v
   

3.3 Usage

Here's a quick example of how to use Docr for OCR:

from docr import OCR
import cv2

# Initialize the OCR model
ocr_model = OCR()

# Read an image
image = cv2.imread("path/to/your/image.png")

# Perform OCR
result = ocr_model(image)

print(result)

Docr comes with a Streamlit-based web UI for easy demonstration of its capabilities:

1. Run the demo:

   streamlit run webui/demo.py
   

2. Open your browser and navigate to the provided URL (usually http://localhost:8501)

3. Upload an image and select the model you want to use for processing

Docr also provides a FastAPI-based API service for integration into other applications:

1. Start the API server:

   uvicorn api.docr_api:app --host 0.0.0.0 --port 8000
   

2. The API documentation will be available at http://localhost:8000/docs

4. Development 🔬

For detailed information on development, please refer to the development guide. This guide will help you set up your IDE for working with Docr, including SRC Layout configuration.

5. Contributing 🤝

We welcome contributions! Please see our Contributing Guidelines for more details.

6. License 📄

Docr is released under the MIT License. See the LICENSE file for more details.

7. Contact 📧

For any questions or feedback, please contact the project maintainer: liferecords yjmm10@yeah.net