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Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation

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Since I'm not using my own training set at the moment and only have single-digit images for testing, could you please provide me with your pre-trained weights so that I...

After dividing the pixels of the binary image by 255 and setting num_class to 2 for training, I encountered an error when loading the model for segmentation:Missing key(s) in state_dict:...

您好,我在iDRiD数据集,使用代码进行复现,训练过程中,iou很小且一直下降,使用权重进行预测,出来的图是全黑的,完全没有预测正确,请问这是什么问题呢?谢谢!可以提供一下训练这个数据集的相关参数吗?

Hello, author. I am trying to train the AROI dataset using your model. I set the paths for the original images and label images as --image AROIonline/inter_intra/raw and --mask_path AROIonline/inter_intra/groundTruth,...

Hi! As reported in the technical report, promptSAM utilized one shot and zero-shot learning. What is the implementation detail? To be more specific, which data are used for training? And...

Thanks for your great work! I lost a lot at the beginning of the training and the dice metric is approaching 0.At the same time, I use the same dataset...

Thanks for the great work! I will be replicating your approach to fine tune SAM on custom few shot medical images. The problem is I have only 8GB GPU memory...

I saw few threads in the issues but I am still a bit confused with the class, so I am training the model to do vein segmentation and the mask...

![image](https://github.com/Qsingle/LearnablePromptSAM/assets/21191835/1f9f1e9b-527c-48d9-9472-2202f0624708) which version of pytorch is used, could you share the package lists?

I run learnerable_seg.py and want to use model = PromptSAM("vit_b", "ckpts/sam_vit_b_01ec64.pth").half().cuda() x = torch.randn(1, 3, 518, 518).half().cuda(), But mistakes can occur x = x + self.pos_embed RuntimeError: The size of...