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Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

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WARNING:root:The model is invalid: Unable to open proto file: C:\Users\admin、\anylabeling_data\models\segment_anything_vit_b_quant-r20230416\segment_anything_vit_b_encoder_quant.onnx. Please check if it is a valid proto. WARNING:root:Action: Delete and redownload... Could not download https://github.com/vietanhdev/anylabeling-assets/releases/download/v0.2.0/segment_anything_vit_b_encoder_quant.onnx: Error in loading model:...

Yolov8 officially provides free running platform https://ultralytics.com If the dataset can be uploaded online, there is no strong confidentiality requirement. You can upload it to the official platform of yolov8,...

enhancement

Hi Thanks for your work on this great repo. I was wondering if you are planning to implement fastsam in the future? if yes, when? Here is the original repo:...

Because Sam is too large, it is difficult to use smoothly on normal machines. Can we consider integrating a self-built API for easier use?thank u https://github.com/ksugar/samapi

can add feature to set json file imagepath add relative path and abstract path ? every my move json file cant and covert voc xml file cant find image path...

ImportError: /lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /home/zk/conda/envs/anylabeling/lib/python3.8/site-packages/matplotlib/_path.cpython-38-x86_64-linux-gnu.so)

Hi, its great work. I loved the idea of using encoder onnx export. Can you integrate semantic segmentation too?

Hi. I try to use SAM model for my task. But, It's failed with below error message. ![image](https://github.com/vietanhdev/anylabeling/assets/56434476/be4a2ecb-ee64-4f3f-bc49-4dc5457d1164) I use `AnyLabeling v0.2.24 AnyLabeling-GPU.exe` binary file. And I installed CUDA 11.6,...

I create a fork with english translation: https://github.com/BioMeasure/labelimgup