docTR 0.6.0 发布，OCR 文档文本识别库

docTR 是一个无缝、高性能且可访问的库，用于由深度学习支持的 OCR 相关任务。

docTR 0.6.0 发布了，doctr 0.6.0 需要 TensorFlow >= 2.9.0 或 PyTorch >= 1.8.0。

版本亮点：

与 Huggingface Hub 完全集成

从 Hub 加载：

 from doctr.io import DocumentFile from doctr.models import ocr_predictor, from_hub image = DocumentFile.from_images(['data/example.jpg']) # Load a custom detection model from huggingface hub det_model = from_hub('Felix92/doctr-torch-db-mobilenet-v3-large') # Load a custom recognition model from huggingface hub reco_model = from_hub('Felix92/doctr-torch-crnn-mobilenet-v3-large-french') # You can easily plug in this models to the OCR predictor predictor = ocr_predictor(det_arch=det_model, reco_arch=reco_model) result = predictor(image)

推送到 Hub：

 from doctr.models import recognition, login_to_hub, push_to_hf_hub login_to_hub() my_awesome_model = recognition.crnn_mobilenet_v3_large(pretrained=True) push_to_hf_hub(my_awesome_model, model_name='doctr-crnn-mobilenet-v3-large-french-v1', task='recognition', arch='crnn_mobilenet_v3_large')

文档：https://mindee.github.io/doctr/using_doctr/sharing_models.html