BiRefNet_plus / app.py

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  1. Update app.py

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  11. Update app.py

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  1. Turn on half precision.

    76fcb7a
  2. Turn on half precision.

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  3. Add new model BiRefNet_HR to the model list.

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  1. Add BiRefNet-matting option.

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  1. Add BiRefNet-Lite-2K model, add model choosing option in tab_batch.

    1592dab

  1. Fix a bug in SliderImage.

    9439305
  2. Change all predicted results as refined RGBA images. Fix a typo in device specification.

    4a3bbdd
  3. Change all predicted results as refined RGBA images. Fix a typo in device specification.

    53ff575

  1. Update app.py

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  2. Update app.py

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  4. Update app.py

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  5. Update app.py

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  6. Add fast-foreground-estimation in masking image.

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  7. Add fast-foreground-estimation in masking image.

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  8. Add fast-foreground-estimation in masking image.

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  9. Add fast-foreground-estimation in masking image.

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  10. Add fast-foreground-estimation in masking image.

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  1. Change RGB to BGR in cv2.imwrite.

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  2. Correct the predicted output vars of tab_batch.

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  3. Add a missing zipfile import.

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  1. Fix a bug in loading the input in tab_batch.

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  2. Fix a bug in loading the input in tab_batch.

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  3. Fix a bug in loading different types of the input in tab_batch.

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  4. Fix the bug in identifying the type of image input.

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  5. Update app.py

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  6. Update app.py

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  7. Add tab of batch inference with saving function.

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  8. Add an assertion on the input image.

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  9. Update app.py

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  10. Update app.py

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  11. Make the runtime counter var global.

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  12. Show runtime counter in logs.

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  13. Fix an error in loading image in tab url.

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  14. Move the descriptions out of TabbedInferface.

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  15. Fix the errors in the examples of url tab.

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  16. Make the option of model and resolution available to both image and url inference tab.

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  17. Make the option of model and resolution available to both image and url inference tab.

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  18. Add an additional tab for inference with url.

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