tianrun-chen/SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
- Stars
- 1.6k
- Forks
- 124
- Open issues
- 66
- Last push
- 5mo ago
About SAM-Adapter-PyTorch
SAM-Adapter-PyTorch is a free, open-source computer vision tool by tianrun-chen, written mainly in Python. Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts. It has 1.6k GitHub stars and 124 forks, and was last updated 5mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 1,554
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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SAM-Adapter-PyTorch FAQ
Is SAM-Adapter-PyTorch free?
Yes. SAM-Adapter-PyTorch is open source and free to use. It's released under the MIT license, a standard open-source license.
Does SAM-Adapter-PyTorch run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does SAM-Adapter-PyTorch need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is SAM-Adapter-PyTorch still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to SAM-Adapter-PyTorch?
Similar free, open-source tools include ultralytics, yolov5, segmentation_models.pytorch, rf-detr.