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--- |
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tags: |
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- ultralyticsplus |
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- yolov8 |
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- ultralytics |
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library_name: ultralytics |
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library_version: 8.0.43 |
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license: cc-by-4.0 |
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model-index: |
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- name: nakamura196/yolov8s-layout-detection |
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results: |
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- task: |
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type: object-detection |
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metrics: |
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- type: precision |
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value: 0.671 |
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name: mAP50-95(B) |
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- type: precision |
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value: 0.947 |
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name: mAP50(B) |
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pipeline_tag: object-detection |
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--- |
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# YOLOv8 model to detect layout of 寛政重修諸家譜 |
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## Inference |
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### Supported Labels |
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```python |
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["h1", "h2", "head", "long", "other", "page", "sode", "text", "vol"] |
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``` |
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### How to use |
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```bash |
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pip install ultralyticsplus |
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``` |
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```python |
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from ultralyticsplus import YOLO, render_result |
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# load model |
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model = YOLO('best.pt') |
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# set image |
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image = "https://dl.ndl.go.jp/api/iiif/1879314/R0000039/full/640,640/0/default.jpg" |
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# perform inference |
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results = model.predict(image, verbose=False) |
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# observe results |
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render = render_result(model=model, image=image, result=results[0]) |
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render.show() |
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``` |
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