Linux / amd64
This asset requires the Clara Deploy SDK. Follow the instructions on the Clara Ansible page to install the Clara Deploy SDK.
The DICOM Reader is a pre-processor that converts DICOM files into MHD files.
Each DICOM series is converted into a single MHD file. DICOM files are associated with a DICOM series using the Series Instance UID header.
Before running the container, use
docker pull to ensure an up-to-date image is installed. Once
the pull is complete, you can run the container image as part of a pipeline.
Tags section, locate the container image release that you want to run.
PULL TAG column in the table, click the icon to copy the
docker pull command.
Open a command prompt and paste the pull command. Ensure the pull completes successfully before proceeding to the next step.
output folders for mounting to the container with the following command:
mkdir -p input output
inputfolder with the following command:
cp -r /path/to/dicom/files input
outputdirectories with the following command:
docker run -it --rm \ -e NVIDIA_CLARA_NOSYNCLOCK=TRUE \ -e NVIDIA_CLARA_JOBID="692f5d9e2c974e4b87e87dc9bfacf5b2" \ -e NVIDIA_CLARA_JOBNAME="test-dicom-read" \ -e NVIDIA_CLARA_STAGENAME="io" \ -e NVIDIA_CLARA_INPUT="/payload/input" \ -e NVIDIA_CLARA_OUTPUT="/payload/output" \ -v `pwd`/input:/payload/input \ -v `pwd`/output:/payload/output \ dicom-reader:latest
Note: The above image tag is set to :code:
latest. Replace :code:
latest with the image tag used in step 1.
An End User License Agreement is included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the terms and conditions of these licenses.
Release Notes, the Getting Started Guide, and the SDK itself are available at the NVIDIA Developer forum: (https://developer.nvidia.com/clara).
For answers to any questions you may have about this release, visit the NVIDIA Devtalk forum: (https://devtalk.nvidia.com/default/board/362/clara-sdk/).