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Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

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finetune-anything

Introduction

The Segment Anything Model (SAM) has revolutionized computer vision. Relying on fine-tuning of SAM will solve a large number of basic computer vision tasks. We are designing a class-aware one-stage tool for training fine-tuning models based on SAM.

You need to supply the datasets for your tasks and the supported task name, this tool will help you to get a finetuned model for your task.

Now you can not run the code yet. I am working on it and the complete code is coming soon.

Install

git clone https://github.com/ziqi-jin/finetune-anything.git
cd finetune-anything
pip install -r requirements.txt
the complete code is comming soon.

Supported Tasks

Train

Test

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  • Onnx export

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Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

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