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Hello again !
Not really an issue with the current version, but more a curiosity about the future improvements :
Have you considered using the Fast-SAM model to decrease the encoding time for large…
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Hi there,
Thank you so much for your open resource code. Could you please check the requirements.txt. There are a lot of conflicts in the environment. Thank you so much!
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Here is my code, just adding the time check on the demo code. It seems the encoding process is far more time-consuming than expected.
```
from mobile_sam import sam_model_registry, SamAutomaticMaskG…
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Very excellent work, but we would like to further evaluate the efficacy of the model.
How do we test the FLOPs of the model?
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Will mobile SAM have better segmentation accuracy than SAM-Base?
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Hello authors,
Thanks so much for your great work.
It looks quite promising.
Does it support fine-tuning for downstream tasks such as binary semantic segmentation?
Such as SAM adapter.
https:/…
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[SAM、HQ-SAM、MobileSAM](https://github.com/storyicon/comfyui_segment_anything#sam)
I have already put a HQ-SAM model (`sam_hq_vit_b.pth`) to `ComfyUI/models/sams`, but this node still downloads a SA…
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Thank you for releasing MobileSAMv2. It is a useful tool in my research and saves more training time and memory
I would report two bugs in using MobileSAMv2 and I deal with these questions:
**1…
GPIOX updated
5 months ago
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Thanks for your Segment Anything CPP Wrapper.
Here is the [Segment Anything CPP Wrapper for macOS](https://github.com/ryouchinsa/sam-cpp-macos/tree/master).
This code is originated from [Segment A…
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如题,如果sam在某些数据上表现不好,大概率是sam的数据集里面不包含某些场景。微调sam也需要不少资源,单纯的微调sam能解决数据集之间域的差别吗?会比从头训练一个小一点的模型好吗?