cnstd cnocr models

Introduction

The CNSTD-CNOCR-MODELS repository by Breezedeus on Hugging Face hosts models used in the CNSTD and CNOCR projects. The models are designed for tasks related to Chinese Optical Character Recognition (OCR) and text detection.

Architecture

This repository contains two main types of models:

• CNSTD Models: These models are used for Chinese text detection.
• CNOCR Models: These are utilized for Chinese OCR tasks.

Both sets of models are tailored to effectively handle Chinese scripts and are integral components of the CNSTD and CNOCR projects.

Training

The README does not provide specific training details, but models in this repository are typically trained to recognize and process Chinese characters accurately. For detailed training methodologies, users may refer to the respective CNSTD and CNOCR GitHub repositories.

Guide: Running Locally

To run these models locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/breezedeus/cnstd-cnocr-models.git
   

2. Install Dependencies: Ensure all required libraries and dependencies are installed. Refer to the CNSTD and CNOCR documentation for specifics.

3. Run the Model: Use your Python environment to load and run the models. Example scripts and usage guidelines are usually provided in the GitHub repositories.

For better performance, especially with large datasets, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License

The licensing details for these models can be found in the respective CNSTD and CNOCR GitHub repositories. Ensure compliance with any license stipulations before using the models in commercial applications.