Doctr Dummy Torch Crnn Mobilenet V3 Small

🚀 DocTR - Optical Character Recognition

Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch

This project simplifies the process of Optical Character Recognition (OCR), making it easy for everyone to use. It is built on the powerful TensorFlow 2 and PyTorch frameworks.

🚀 Quick Start

The project focuses on the OCR recognition task. You can find the source code on GitHub: https://github.com/mindee/doctr

💻 Usage Examples

Basic Usage

>>> from doctr.io import DocumentFile
>>> from doctr.models import ocr_predictor, from_hub

>>> img = DocumentFile.from_images(['<image_path>'])
>>> # Load your model from the hub
>>> model = from_hub('mindee/my-model')

>>> # Pass it to the predictor
>>> # If your model is a recognition model:
>>> predictor = ocr_predictor(det_arch='db_mobilenet_v3_large',
>>>                           reco_arch=model,
>>>                           pretrained=True)

>>> # If your model is a detection model:
>>> predictor = ocr_predictor(det_arch=model,
>>>                           reco_arch='crnn_mobilenet_v3_small',
>>>                           pretrained=True)

>>> # Get your predictions
>>> res = predictor(img)