How to reduce predicted label font size.

Shanky71 commented 2 years ago

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How do i reduce the size of the predicted label and confidence score. I have tried the potential solutions provided but couldn't do it. Can anyone help what changes do I make to make the font size=3 val_batch0_pred

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github-actions[bot] commented 2 years ago

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glenn-jocher commented 2 years ago

@Shanky71 Annotator class responsible for box plotting is here: https://github.com/ultralytics/yolov5/blob/c4cb7c684ad6baf4081eb59ee1c27aa97bed4ebe/utils/plots.py#L68-L126

Shanky71 commented 2 years ago

@glenn-jocher Hey I am actually a bit new to it. Can you help me in modifying the above code snippet. I tried modifying it from my end but ended up getting the same label font size. Tried modifying the annotator class but couldn't decrease the size yet. Can someone suggest why it's happening?

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glenn-jocher commented 11 months ago

Hey @Shanky71! Happy to help. You can modify the font size for the predicted label and confidence score directly in the plots.py file in the YOLOv5 repository. You can find these parameters in the plot_one_box function within the Annotator class. Look for the font parameter in the plot_one_box function and modify the font size there to achieve the desired label font size. Let me know if you need any further assistance!

wrss2 commented 8 months ago

I dont see plot_one_box function in plots.py or any where else

glenn-jocher commented 8 months ago

@wrss2 apologies for the confusion. To adjust the font size, you should look for the cv2.putText() function calls within the Annotator class in utils/plots.py. The font size is controlled by the fontScale parameter in cv2.putText(). To change the font size to 3, you would set fontScale=3 in the relevant cv2.putText() calls.

If you're having trouble, please ensure you're editing the correct cv2.putText() calls that are responsible for drawing the labels and confidence scores on the image. If you've made changes and are not seeing any effect, make sure to clear any .pyc files and restart your script or notebook to ensure your changes are being used.

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