Doctr Torch Crnn Mobilenet V3 Large French

🚀 DocTR - Optical Character Recognition

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

DocTR is a project that enables seamless and accessible optical character recognition, leveraging the power of TensorFlow 2 and PyTorch. It supports multiple languages including English, French, and multilingual scenarios, and is designed for the image - to - text pipeline.

🚀 Quick Start

The project's GitHub repository can be found at DocTR on GitHub.

💻 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)