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This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

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Hi, I am experiencing an issue with Faster Segment Anything (MobileSAM) where it is taking 20 seconds to run sometimes, and errors out each time. I have also tried placing...

In the "About" section, "official" is misspelled as "offiicial".

Hello, Thank you for you work. I've tried to replace your model instead of using SAM in a visualisation pipeline that i've setup. The problem is that I'm unable to...

I did not convert the model to onnx according to the method provided by SAM

I'm considering the possibility of exporting MobileSam as an ONNX model and running it on mobile devices using onnxruntime.

Looking forward to it.

Thanks for your work, does the training code mean that I can use my labeled segmented data containing one class to train a model that segments only that one class?...

Thanks for your interest in our work. Note that MobileSAM makes the image encoder lightweight without changing the decoder (like 8ms on the encoder and 4ms on the decoder). Since...

It took 3000ms in my conputer,I don't know what is wrong

As I was reading the paper I had some confusion: your paper mentions that FastSAM needs at least two prompt points and on that basis compares the performance of FastSAM...