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Hi mobileSAM creators!
Thanks for the project, it's really awesome.
Maybe this is my stupidity, but I thought I should highlight this: I've essentially tried and failed over a couple of days to …
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We have just released our MobileSAM project to make SAM mobile-friendly. MobileSAM replaces the heavyweight encoder (632M) in the original SAM with a much smaller Tiny-ViT (5M). It performs on par wit…
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We re-implemented the training process of MobileSAM, the training code can be downloaded from [here](https://github.com/YuYue525/MobileSAM-pytorch) for your reference. A very simple code version just …
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In [MobileSAM](https://github.com/ChaoningZhang/MobileSAM), there is only one weight file named mobile_sam.pt, how to get encoder and decoder weigt separately? Could you share the script for that?
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https://github.com/facebookresearch/segment-anything-2
* It's fast and can be quite small.
* Detection should be improved
* Similar to first model it runs on fixed resolution (512 by default)
* …
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Thanks for your great work.
Here is the [Segment Anything CPP Wrapper for macOS](https://github.com/ryouchinsa/sam-cpp-macos/tree/master) and it corresponds to MobileSAM, EdgeSAM, EfficientSAM, HQ-…
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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…
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Hi,
Thanks for the great work you have done! I have tested all mobilesam features on Pytorch and successfully converted both image encoder and prompt encoder/Mask decoder parts to onnx format. I'm c…
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Use segment anything model's prompt feature to select an individual leaf and process it
Use either point or bounding box selection.
Below are some example ipynb.
https://github.com/facebookrese…
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Based on https://github.com/ziqi-jin/finetune-anything/issues/23 being closed, I assume the README should be updated to reflect the change.
https://github.com/ziqi-jin/finetune-anything#support-pla…