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Add doctr-vitstr_base-recognition-korean-230116 model

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  1. README.md +39 -0
  2. config.json +21 -0
  3. pytorch_model.bin +3 -0
README.md ADDED
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+
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+ ---
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+ language: en
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+ ---
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+
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+ <p align="center">
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+ <img src="https://doctr-static.mindee.com/models?id=v0.3.1/Logo_doctr.gif&src=0" width="60%">
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+ </p>
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+
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+ **Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch**
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+
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+ ## Task: recognition
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+
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+ https://github.com/mindee/doctr
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+
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+ ### Example usage:
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+
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+ ```python
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+ >>> from doctr.io import DocumentFile
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+ >>> from doctr.models import ocr_predictor, from_hub
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+
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+ >>> img = DocumentFile.from_images(['<image_path>'])
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+ >>> # Load your model from the hub
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+ >>> model = from_hub('mindee/my-model')
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+
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+ >>> # Pass it to the predictor
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+ >>> # If your model is a recognition model:
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+ >>> predictor = ocr_predictor(det_arch='db_mobilenet_v3_large',
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+ >>> reco_arch=model,
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+ >>> pretrained=True)
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+
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+ >>> # If your model is a detection model:
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+ >>> predictor = ocr_predictor(det_arch=model,
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+ >>> reco_arch='crnn_mobilenet_v3_small',
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+ >>> pretrained=True)
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+
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+ >>> # Get your predictions
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+ >>> res = predictor(img)
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+ ```
config.json ADDED
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+ {
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+ "mean": [
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+ 0.694,
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+ 0.695,
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+ 0.693
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+ ],
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+ "std": [
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+ 0.299,
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+ 0.296,
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+ 0.301
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+ ],
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+ "input_shape": [
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+ 3,
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+ 32,
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+ 128
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+ ],
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+ "vocab": "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~°£€¥¢฿ᄀᄁᄂᄃᄄᄅᄆᄇᄈᄉᄊᄋᄌᄍᄎᄏᄐᄑ하ᅢᅣᅤᅥᅦᅧᅨᅩᅪᅫᅬᅭᅮᅯᅰᅱᅲᅳᅴᅵᆨᆩᆪᆫᆬᆭᆮᆯᆰᆱᆲᆳᆴᆵᆶᆷᆸᆹᆺᆻᆼᆽᆾᆿᇀᇁᇂ",
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+ "url": null,
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+ "arch": "vitstr_base",
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+ "task": "recognition"
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:108829da6f4b5f33b91e42003c2c10dc154d86a9c902705a6c6a517c4638bd07
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+ size 341468669