Comments (3)
Hi @miaowahexiaohuolong ,
The postprocessing implementation has some differences. please follow the following tutorial to use medsam.
https://github.com/bowang-lab/MedSAM/blob/main/finetune_and_inference_tutorial_3D_dataset.ipynb
https://github.com/bowang-lab/MedSAM/blob/main/finetune_and_inference_tutorial_2D_dataset.ipynb
from medsam.
Can you explain the process of running these Python file codes? The execution order of the code file.
from medsam.
Please check the video tutorial on the readme page.
from medsam.
Related Issues (20)
- multi-modality in MedSAM HOT 1
- Question about semantic segmentation for this model HOT 3
- Do you have a sample code for 3D Slicer?
- Bounding box in testing time HOT 1
- Inference for a fine tuned model HOT 8
- how much data? HOT 2
- 3D data HOT 2
- NIfTI files prediction HOT 1
- How can i handle (1024,1024) size image with lite model? HOT 1
- Handling .npy input which is already preprocessed
- Unable to download checkpoint in Colab from Google Drive HOT 2
- Colab notebook demonstrating MedSAM applied to DICOM data in Imaging Data Commons
- Pre-Trained Model HOT 1
- Docker, Permission denied error HOT 6
- Question About Training Time HOT 2
- About the experimental results of 1point medsam_point_prompt_flare22.pth on FLARE22 test HOT 1
- !pip install gives a warning in collaboration HOT 1
- Fine-tuning MedSam without bbox HOT 3
- error run demo HOT 1
- Training with pre-trained weights HOT 1
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from medsam.