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Add license and data weight
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Signed-off-by: heyufan1995 <[email protected]>
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heyufan1995 committed Aug 1, 2024
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Expand Up @@ -68,7 +68,7 @@ VISTA3D checkpoint showed improvements when finetuning in few-shot settings. Onc
## Usage

### Installation
The code requires `monai>=1.3`. Download the [model checkpoint](xxxx) and save it at ./models/model.pt.
The code requires `monai>=1.3`. Download the [model checkpoint](https://drive.google.com/file/d/1eLIxQwnxGsjggxiVjdcAyNvJ5DYtqmdc/view?usp=sharing) and save it at ./models/model.pt.
```
docker pull projectmonai/monai:1.3.2
```
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### Inference
We provide two ways to use the model for inference.
1. We recommend users to use the optimized and standardized [MONAI bundle]() model. The bundle provides a unified API for inference.
The [VISTA3D NVIDIA Inference Microservices (NIM)]() deploys the bundle with an interactive front-end.
2. For quick debugging and model development purposes, we also provide the `infer.py` script and its light-weight front-end `debugger.py`. `python -m scripts.debugger run`. Note we will prioritize [NIM]() and [monai bundle]() developments and those functions will be deprecated in the future.
The [VISTA3D NVIDIA Inference Microservices (NIM)](https://build.nvidia.com/nvidia/vista-3d) deploys the bundle with an interactive front-end.
2. For quick debugging and model development purposes, we also provide the `infer.py` script and its light-weight front-end `debugger.py`. `python -m scripts.debugger run`. Note we will prioritize [NIM](https://build.nvidia.com/nvidia/vista-3d) and [monai bundle]() developments and those functions will be deprecated in the future.
```
export CUDA_VISIBLE_DEVICES=0; python -m scripts.infer --config_file 'configs/infer.yaml' - infer --image_file 'example-1.nii.gz' --label_prompt [1] --save_mask true
export CUDA_VISIBLE_DEVICES=0; python -m scripts.infer --config_file 'configs/infer.yaml' - infer_everything --image_file 'example-1.nii.gz'
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## License

The codebase is under Apache 2.0 Licence. The model weight is released under CC-BY-NC-SA-4.0.
The codebase is under Apache 2.0 Licence. The model weight is released under [NVIDIA OneWay Noncommercial License](./NVIDIA%20OneWay%20Noncommercial%20License_22Mar2022.docx).

## Reference

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