chemistry
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@@ -8,6 +8,7 @@ From paper: "*MolParser: End-to-end Visual Recognition of Molecule Structures in
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  We provide several [ultralytics YOLO11]((https://github.com/ultralytics/ultralytics)) weights for molecule detection with different size & input resolution.
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  ## General molecule structure detection models
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  `moldet_yolo11[size]_640_general.pt`
@@ -43,6 +44,7 @@ YOLO11 weights trained on 26k human annotated PDF pages (patents, papers, and bo
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  * 960x960 input resolution
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  * prefer **single page PDF image** input
 
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  <span style='color:gray'>Warning: It is recommended to use MuPDF to render PDF pages at more than 144dpi.</span>
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@@ -60,4 +62,6 @@ usage:
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  from ultralytics import YOLO
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  model = YOLO("moldet_yolo11l_960_doc.pt")
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  model.predict("path/to/pdf_page_image.png", save=True, imgsz=960, conf=0.5)
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- ```
 
 
 
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  We provide several [ultralytics YOLO11]((https://github.com/ultralytics/ultralytics)) weights for molecule detection with different size & input resolution.
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+
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  ## General molecule structure detection models
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  `moldet_yolo11[size]_640_general.pt`
 
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  * 960x960 input resolution
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  * prefer **single page PDF image** input
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+ * better in small molecule detection
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  <span style='color:gray'>Warning: It is recommended to use MuPDF to render PDF pages at more than 144dpi.</span>
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  from ultralytics import YOLO
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  model = YOLO("moldet_yolo11l_960_doc.pt")
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  model.predict("path/to/pdf_page_image.png", save=True, imgsz=960, conf=0.5)
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+ ```
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/7oWPoPxuEXSangDWnJ7mv.png)