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README.md
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# Docling Model for Layout
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This is the **Docling model for layout detection**, designed to facilitate easy importing and usage like any other Hugging Face model.
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This model is part of the [Docling repository](https://huggingface.co/ds4sd/docling-models), which provides document layout analysis tools.
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## **Usage Example**
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Here's how you can load and use the model:
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```python
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import torch
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from PIL import Image
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from transformers import RTDetrForObjectDetection, RTDetrImageProcessor
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# Load the model and processor
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image_processor = RTDetrImageProcessor.from_pretrained("your-username/your-model-name")
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model = RTDetrForObjectDetection.from_pretrained("your-username/your-model-name")
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# Load an image
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image = Image.open("your-image.png")
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# Preprocess the image
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inputs = image_processor(images=image, return_tensors="pt")
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# Perform inference
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with torch.no_grad():
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outputs = model(**inputs)
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# Post-process results
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results = image_processor.post_process_object_detection(
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outputs,
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target_sizes=torch.tensor([(image.height, image.width)]),
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threshold=0.3
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)
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# Print detected objects
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for result in results:
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for score, label_id, box in zip(result["scores"], result["labels"], result["boxes"]):
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score, label = score.item(), label_id.item()
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box = [round(i, 2) for i in box.tolist()]
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print(f"{model.config.id2label[label]}: {score:.2f} {box}")
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```
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## **Model Information**
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- **Base Model:** RT-DETR (Robust Transformer-based Object Detector)
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- **Intended Use:** Layout detection for documents
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- **Framework:** [Hugging Face Transformers](https://huggingface.co/docs/transformers/index)
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- **Dataset Used:** Internal dataset for document structure recognition
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- **License:** Apache 2.0
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## **Citing This Model**
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If you use this model in your work, please cite the main **Docling repository**:
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```
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@misc{docling2024, title={Docling Models for Document Layout Analysis}, author={DS4SD Team}, year={2024}, howpublished={Hugging Face Repository}, url={https://huggingface.co/ds4sd/docling-models} }
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```
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For more details, visit the main repo: [ds4sd/docling-models](https://huggingface.co/ds4sd/docling-models).
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## **Contact**
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For questions or issues, please open a discussion on Hugging Face or contact [pandahd7u5@gmail.com].
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