SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Adapt image segmentation models for specific tasks, improving their ability to detect camouflaged objects.
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SAM-Adapter-PyTorch has 1.5k stars on GitHub. It has been forked 124 times. SAM-Adapter-PyTorch is written mainly in Python. It has been in active development since 2023. SAM-Adapter-PyTorch is available under the MIT license. Its main topics are 2d-segmentation, adapter, camouflage-images, camouflaged-object-detection.
What is SAM-Adapter-PyTorch?
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Is SAM-Adapter-PyTorch open source?
SAM-Adapter-PyTorch is an open-source project. It is released under the MIT license.
Is SAM-Adapter-PyTorch free?
Yes. SAM-Adapter-PyTorch is free and open source — you can use, modify and self-host it.
What license does SAM-Adapter-PyTorch use?
SAM-Adapter-PyTorch is available under the MIT license.
What language is SAM-Adapter-PyTorch written in?
SAM-Adapter-PyTorch is written mainly in Python.
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