Felix92 commited on
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1 Parent(s): 38026ca

Add doctr-dummy-tf-db-resnet50 model

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zstandard filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tf_model/weights.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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://github.com/mindee/doctr/releases/download/v0.3.1/Logo_doctr.gif" 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: detection
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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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+ 0.798,
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+ 0.785,
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+ 0.772
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+ ],
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+ "std": [
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+ 0.264,
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+ 0.2749,
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+ 0.287
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+ ],
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+ "input_shape": [
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+ 1024,
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+ 1024,
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+ 3
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+ ],
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+ "url": "https://github.com/mindee/doctr/releases/download/v0.2.0/db_resnet50-adcafc63.zip",
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+ "arch": "db_resnet50",
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+ "task": "detection"
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+ }
tf_model/checkpoint ADDED
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+ model_checkpoint_path: "weights"
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+ all_model_checkpoint_paths: "weights"
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+ size 101241287
tf_model/weights.index ADDED
Binary file (23.9 kB). View file