diff --git a/Dockerfile b/Dockerfile index 59905d9..9c14ed6 100644 --- a/Dockerfile +++ b/Dockerfile @@ -3,7 +3,7 @@ FROM python:3.8-slim LABEL IMAGE="DLMUSE" -RUN mkdir /DLMUSE/ && pip install DLMUSE==0.0.0 +RUN mkdir /DLMUSE/ && pip install DLMUSE==0.0.1 # Download the model zip file ADD https://github.com/CBICA/DLMUSE/releases/download/v0.0.0/model.zip /DLMUSE/ diff --git a/README.md b/README.md index 18994a2..2b14300 100644 --- a/README.md +++ b/README.md @@ -24,12 +24,12 @@ pip install . ### Using docker ```bash -docker pull aidinisg/dlmuse:0.0.0 +docker pull aidinisg/dlmuse:0.0.1 ``` ## Usage -A pre-trained nnUNet model can be found in the [DLMUSE-0.0.0 release](https://github.com/CBICA/DLMUSE/releases/tag/v0.0.0) as an [artifact](https://github.com/CBICA/DLMUSE/releases/download/v0.0.0/model.zip). Feel free to use it under the package's [license](LICENSE). +A pre-trained nnUNet model can be found in the [DLMUSE-0.0.1 release](https://github.com/CBICA/DLMUSE/releases/tag/v0.0.1) as an [artifact](https://github.com/CBICA/DLMUSE/releases/download/v0.0.1/model.zip). Feel free to use it under the package's [license](LICENSE). ### Import as a python package @@ -85,7 +85,7 @@ Without providing a model: ```bash docker run --gpus all -it --rm -v /path/to/local/input:/workspace/input \ -v /path/to/local/output:/workspace/output \ - aidinisg/dlmuse:0.0.0 -i input/ -o output/ + aidinisg/dlmuse:0.0.1 -i input/ -o output/ ``` Providing a model: @@ -94,7 +94,7 @@ Providing a model: docker run --gpus all -it --rm -v /path/to/local/model:/workspace/model \ -v /path/to/local/input:/workspace/input \ -v /path/to/local/output:/workspace/output \ - aidinisg/dlmuse:0.0.0 -i input/ -o output/ --model model/ + aidinisg/dlmuse:0.0.1 -i input/ -o output/ --model model/ ``` ## Contact