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khushal
2024-10-10 11:44:45 +05:30
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utils_v2/ai/image_segmentation/async_dichotomous_segmentation.py
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To provide an easy way to get masks from dichotomous image segmentation.
This code uses a very specific model from HuggingFace: "ZhengPeng7/BiRefNet-portrait".
You may experiment with other models too, but make sure that model is made for "dichotomous" behaviour. This
You may experiment with other behaviour_models too, but make sure that model is made for "dichotomous" behaviour. This
means that the model should have only two classes like "foreground", and "background". The specified model was
trained for implementing portrait mode style blurring of backgrounds.
The originally tested model has an MIT license as per their GitHub page. The code in this file may or may not
support drop-in replacement for other models, please be aware about this.
support drop-in replacement for other behaviour_models, please be aware about this.
REFERENCES: