Instructions to use PaddlePaddle/PP-DocBlockLayout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-DocBlockLayout with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import LayoutDetection model = LayoutDetection(model_name="PP-DocBlockLayout") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
| { | |
| "mode": "paddle", | |
| "draw_threshold": 0.5, | |
| "metric": "COCO", | |
| "use_dynamic_shape": false, | |
| "Global": { | |
| "model_name": "PP-DocBlockLayout" | |
| }, | |
| "arch": "DETR", | |
| "min_subgraph_size": 3, | |
| "Preprocess": [ | |
| { | |
| "interp": 2, | |
| "keep_ratio": false, | |
| "target_size": [ | |
| 640, | |
| 640 | |
| ], | |
| "type": "Resize" | |
| }, | |
| { | |
| "mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "norm_type": "none", | |
| "std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "type": "NormalizeImage" | |
| }, | |
| { | |
| "type": "Permute" | |
| } | |
| ], | |
| "label_list": [ | |
| "Region" | |
| ], | |
| "Hpi": { | |
| "backend_configs": { | |
| "paddle_infer": { | |
| "trt_dynamic_shapes": { | |
| "im_shape": [ | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 8, | |
| 2 | |
| ] | |
| ], | |
| "image": [ | |
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| 1, | |
| 3, | |
| 640, | |
| 640 | |
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| [ | |
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| [ | |
| 8, | |
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| 640, | |
| 640 | |
| ] | |
| ], | |
| "scale_factor": [ | |
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| 1, | |
| 2 | |
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| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 8, | |
| 2 | |
| ] | |
| ] | |
| }, | |
| "trt_dynamic_shape_input_data": { | |
| "im_shape": [ | |
| [ | |
| 640, | |
| 640 | |
| ], | |
| [ | |
| 640, | |
| 640 | |
| ], | |
| [ | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
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| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640, | |
| 640 | |
| ] | |
| ], | |
| "scale_factor": [ | |
| [ | |
| 2, | |
| 2 | |
| ], | |
| [ | |
| 1, | |
| 1 | |
| ], | |
| [ | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67, | |
| 0.67 | |
| ] | |
| ] | |
| } | |
| }, | |
| "tensorrt": { | |
| "dynamic_shapes": { | |
| "im_shape": [ | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 8, | |
| 2 | |
| ] | |
| ], | |
| "image": [ | |
| [ | |
| 1, | |
| 3, | |
| 640, | |
| 640 | |
| ], | |
| [ | |
| 1, | |
| 3, | |
| 640, | |
| 640 | |
| ], | |
| [ | |
| 8, | |
| 3, | |
| 640, | |
| 640 | |
| ] | |
| ], | |
| "scale_factor": [ | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 1, | |
| 2 | |
| ], | |
| [ | |
| 8, | |
| 2 | |
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| ] | |
| } | |
| } | |
| } | |
| } | |
| } |