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There is a finetuned variant of SAM available at https://github.com/SysCV/sam-hq which promises better segmentation masks at basically no cost.
To upgrade to sam-hq, we basically only have to replace the sam package that is installed with pip with sam-hq (also pip compatible) and download the new weights. The front end is completely compatible with the new embeddings (already tested).
Although there is no very big perceived improvement, it might be worth it.
The text was updated successfully, but these errors were encountered:
The low resolution of the feature representation is probably still the most limiting factor. If you don't see a big improvement in the cases you tested in #9, I don't see an immediate need to implement this 🤔
There is a finetuned variant of SAM available at https://github.com/SysCV/sam-hq which promises better segmentation masks at basically no cost.
To upgrade to sam-hq, we basically only have to replace the sam package that is installed with pip with sam-hq (also pip compatible) and download the new weights. The front end is completely compatible with the new embeddings (already tested).
Although there is no very big perceived improvement, it might be worth it.
The text was updated successfully, but these errors were encountered: