Jun

> Idk i haven't tested anything not multiple of 512. You can also not use the conv1d package (uninstalling it should mean the mamba code uses torch nn.Conv1d). Hi @tridao...

> > Idk i haven't tested anything not multiple of 512. You can also not use the conv1d package (uninstalling it should mean the mamba code uses torch nn.Conv1d). >...

Hi @adithya-s-k , Thanks for your swift response! I'll prepare my data as follows: - object detection dataset: https://huggingface.co/docs/datasets/en/image_dataset#object-detection - segmentation dataset: https://huggingface.co/docs/datasets/en/semantic_segmentation Would you happen to have any suggested...

Hi @XiangyuLijoey , Here is a demo to save the SAM auto-seg results to the instance label map. ``` masks = mask_generator.generate(image) mask_np = np.zeros((image.shape[0], image.shape[1]), dtype=np.uint16) for idx, mask...

Hi @QianMuXiao ， Thanks for the great catch. Did you find any cases in LITS that were missed in the abdomenCT dataset? BTW, we used the `MSD-Liver` dataset, which is...