Welcome to svhnL’s documentation!

svhnL is a Python library for downloading and processing images for a multi-digit recognition (MDR) task under any major deep learning framework [TensorFlow, JAX, Torch]. In summary, the library provides function to download, extract datasets from the original SVHN dataset, convert annotation file format, and generate datasets that are specially designed for MDR tasks.

Check out the Usage section for further information, including how to Installation the project.

Note

This project is under active development.

Contents

• Usage
  • Installation
  • Functionalities
    • Dataset Download & extract
    • Convert Annotation file into JSON
    • Convert Annotation file into csv
    • Generate MDR dataset
• API