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> If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this [example](https://github.com/CVHub520/X-AnyLabeling/blob/main/anylabeling/services/auto_labeling/segment_anything_2_video.py) in the X-AnyLabeling repository. Hello author, I did not...

> > > If you're not familiar with ONNX, you can use the PyTorch inference engine directly. For guidance, check out this [example](https://github.com/CVHub520/X-AnyLabeling/blob/main/anylabeling/services/auto_labeling/segment_anything_2_video.py) in the X-AnyLabeling repository. > > >...

> I had this type of error what can I do ? Hello, have you solved it？

> 感谢您分享出色的工作！ > > 我正在尝试针对 3D/视频分割对其进行微调，但遇到了问题。该代码的批量大小似乎硬编码为 1： > > [医学 - SAM2/func_3d/数据集/__init__.py](https://github.com/SuperMedIntel/Medical-SAM2/blob/534a6d808b2efcf7222c149be06211205e5eb053/func_3d/dataset/__init__.py#L29-L44) > > 第 29 至 44 行 在[534A6D8](/SuperMedIntel/Medical-SAM2/commit/534a6d808b2efcf7222c149be06211205e5eb053) > > if args.数据集 == 'btcv'： > '''btcv 数据''' >...