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This repo contains the code and model weights for Polyp-SAM
good job show me your code
What‘s the difference among those weights in the link below?
Don't you provide a fine tuning code that supports multiple classes?
Reference: https://github.com/ChaoningZhang/MobileSAM
Our project performs on par with the original SAM and keeps exactly the same pipeline as the original SAM except for a change on the image encode, therefore, it is easy to Integrate into any project.
MobileSAM is around 60 times smaller and around 50 times faster than original SAM, and it is around 7 times smaller and around 5 times faster than the concurrent FastSAM. The comparison of the whole pipeline is summarzed as follows:
Best Wishes,
Qiao
Have you ever tried to understand the segmentation performance of SAM without any prompts?
The batch size mentioned in the paper is 48, while the batch size in the GitHub code is 64. I'm curious why there is a difference in batch size between the paper and the released code.
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